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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2025.1630226</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Epidemiology risk factors and antifungal resistance patterns of <italic>Candida</italic> in cancer patients in Jiangxi China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Bilal</surname> <given-names>Hazrat</given-names></name>
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<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Xiaohui</given-names></name>
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<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xunsong</given-names></name>
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<contrib contrib-type="author">
<name><surname>Khan</surname> <given-names>Muhammad Nadeem</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Shafiq</surname> <given-names>Muhammad</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<name><surname>Yu</surname> <given-names>Jiamei</given-names></name>
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<name><surname>Qiu</surname> <given-names>Hanman</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Lv</surname> <given-names>Qiao-Li</given-names></name>
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<name><surname>Xu</surname> <given-names>Bin</given-names></name>
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<aff id="aff1"><sup>1</sup><institution>Jiangxi Key Laboratory of Oncology (2024SSY06041), JXHC Key Laboratory of Tumor Metastasis, NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Cancer Hospital &#x0026; Institute, The Second Affiliated Hospital of Nanchang Medical College, Nanchang</institution>, <addr-line>Jiangxi</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Medical Laboratory, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Cancer Institute, Nanchang</institution>, <addr-line>Jiangxi</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Cell Biology and Genetics, Shantou University Medical College</institution>, <addr-line>Shantou</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Pharmacology, Research Institute of Clinical Pharmacy, Shantou University Medical College</institution>, <addr-line>Shantou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Maurizio Sanguinetti, Catholic University of the Sacred Heart, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Maria Rapala-Kozik, Jagiellonian University, Poland</p>
<p>Aylin D&#x00F6;&#x011F;en, Mersin University, T&#x00FC;rkiye</p>
<p>Rashi Verma, Morehouse School of Medicine, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Qiao-Li Lv, <email>lvqiaoli2008@126.com</email></corresp>
<corresp id="c002">Bin Xu, <email>xubin1968@126.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1630226</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Bilal, Li, Wang, Khan, Shafiq, Yu, Qiu, Lv and Xu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Bilal, Li, Wang, Khan, Shafiq, Yu, Qiu, Lv and Xu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Candidiasis in cancer patients remains largely unexplored in China. This study examines risk factors and antifungal susceptibility patterns of <italic>Candida</italic> in cancer patients from Jiangxi, China.</p>
</sec>
<sec>
<title>Methods</title>
<p>Clinical and demographic data on <italic>Candida</italic> in cancer patients (2018&#x2013;2024) were retrospectively collected at Jiangxi Cancer Hospital, Nanchang, China. <italic>Candida</italic> distribution across cancers and antifungal susceptibility patterns were analyzed. Risk factors were identified via logistic regression, and antifungal consumption was correlated with <italic>Candida</italic> distribution. Survival probabilities were compared between patients with <italic>C. albicans</italic> and those with non-<italic>albicans Candida</italic> (NAC) infections.</p>
</sec>
<sec>
<title>Results</title>
<p>Among 2,761 <italic>Candida</italic> isolates, 1,703 (61.68%) were <italic>C. albicans</italic> and 1,058 (38.31%) were NAC, with a year-wise trend showing a decline in <italic>C. albicans</italic> and a rise in NAC. <italic>C. albicans</italic> was significantly higher in lung (40.57%) and nasopharyngeal (11.33%) cancers, while NAC were more common in gastric (7.56%), colon (8.69%), and urogenital (14.65%) cancers. NAC risk factors included inappropriate empirical therapy (OR 13.8, <italic>P</italic> &#x003C; 0.001), hypoproteinemia (OR 1.35), anemia (OR 1.28), urinary tract infection (OR 1.71), and indwelling catheters (OR 1.27) (all <italic>P</italic> &#x003C; 0.05). Radiotherapy, targeted therapy, glucocorticoids, chest tube insertion, and parenteral nutrition were associated with <italic>C. albicans</italic> (<italic>P</italic> &#x2264; 0.01). Amphotericin B (&#x003E;99%) and echinocandins (&#x003E;96%) showed the highest efficacy. <italic>C. tropicalis</italic> displayed notable azole resistance (40.9&#x2013;74.45%). Caspofungin use negatively correlated with <italic>C. albicans</italic> (<italic>r</italic> = &#x2212;0.84, <italic>P</italic> = 0.02) and positively with <italic>C. tropicalis</italic> (<italic>r</italic> = 0.78, <italic>P</italic> = 0.04) and <italic>N. glabrata</italic> (<italic>r</italic> = 0.85, <italic>p</italic> = 0.02). NAC infections showed 1.5-fold higher mortality rate than <italic>C. albicans</italic> (95% CI: 1.1&#x2013;2.0; <italic>P</italic> = 0.0075).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>These findings may aid healthcare officials in improving <italic>Candida</italic> management in the region and similar settings.</p>
</sec>
</abstract>
<kwd-group>
<kwd><italic>Candida</italic> species</kwd>
<kwd>cancer patients</kwd>
<kwd>antifungal resistance</kwd>
<kwd>antifungal consumption</kwd>
<kwd>epidemiology and risk factors</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="15"/>
<word-count count="8892"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Agents and Disease</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Cancer patients are highly vulnerable to fungal infections due to immunosuppression from underlying malignancies and treatments (<xref ref-type="bibr" rid="B39">Shelke et al., 2024</xref>). <italic>Candida</italic> species are the most commonly reported fungi in cancer patients. They can colonize various body sites, including mucosal membranes, the gastrointestinal tract, and the urogenital tract. This colonization is exacerbated in cancer patients due to immunosuppression, mucosal disruption, and the use of antimicrobials. Colonization, especially at multiple body sites, significantly increases the risk of invasive candidiasis, which may develop within approximately 7 days. Risk factors influencing this transformation include underlying comorbidities, use of indwelling devices, exposure to broad-spectrum antimicrobials, and surgical or invasive procedures (<xref ref-type="bibr" rid="B1">Alenazy et al., 2021</xref>; <xref ref-type="bibr" rid="B25">Lass-Fl&#x00F6;rl et al., 2024</xref>). Each year, around 2.5 million people are reported to develop invasive candidiasis, with a mortality rate ranging from 25 to 50% (<xref ref-type="bibr" rid="B4">Bilal et al., 2023</xref>).</p>
<p>Historically, <italic>Candida albicans</italic> has been predominantly isolated in cases of candidiasis worldwide. However, recent studies show a shift toward non-<italic>albicans Candida</italic> (NAC) species (<xref ref-type="bibr" rid="B29">Meneghello et al., 2024</xref>). This trend is largely attributed to the widespread use of antifungals such as fluconazole and caspofungin. This has led to selective pressure favoring NAC species, which are often less susceptible to azoles and echinocandins.(<xref ref-type="bibr" rid="B25">Lass-Fl&#x00F6;rl et al., 2024</xref>; <xref ref-type="bibr" rid="B26">Lee et al., 2023</xref>). The specific distribution of NAC species varies by region and patient population, likely influenced by the use of antifungals and healthcare practices (<xref ref-type="bibr" rid="B4">Bilal et al., 2023</xref>; <xref ref-type="bibr" rid="B29">Meneghello et al., 2024</xref>; <xref ref-type="bibr" rid="B31">Ngamchokwathana et al., 2021</xref>).</p>
<p>In China, antifungal susceptibility patterns vary across regions, and recent studies have noted a decline in susceptibility compared to developed countries (<xref ref-type="bibr" rid="B3">Bilal et al., 2022</xref>). Antifungal susceptibility testing often requires a long time. Therefore, guidelines such as those from the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) and the Infectious Diseases Society of America (IDSA) recommend tailoring empirical antifungal therapy based on local species distribution, risk factors, prior antifungal use, and susceptibility data (<xref ref-type="bibr" rid="B33">Pappas et al., 2009</xref>; <xref ref-type="bibr" rid="B34">Pappas et al., 2015</xref>; <xref ref-type="bibr" rid="B42">Ullmann et al., 2012</xref>). In this study, we aimed to analyze the distribution of <italic>Candida</italic> species in various cancer types, along with their associated risk factors and antifungal susceptibility profiles. We also examined the correlation between the consumption of commonly used antifungal drugs and both species distribution and the proportion of non-susceptible isolates in Jiangxi, China, over the past 7 years.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="S2.SS1">
<title>Study setting and design</title>
<p>The current retrospective study was conducted at Jiangxi Cancer Hospital, Nanchang, China. The study center is the only tertiary A-level hospital specializing in cancer diagnosis and treatment in Nanchang, the capital of Jiangxi Province, China. The center is a 2030-bed hospital that provides treatment facilities to over 45 million urban and rural populations. The study was approved by the Ethics and Review Committee of Jiangxi Cancer Hospital (letter number 2024ky078). The committee waived the patient&#x2019;s consent form due to the study&#x2019;s retrospective design and the fact that it did not disclose identity of the patients or use their personal information.</p>
</sec>
<sec id="S2.SS2">
<title>Data collection</title>
<p>This study includes all <italic>Candida</italic> species diagnosed in cancer patients at Jiangxi Cancer Hospital from January 2018 to December 2024. Cases were included if <italic>Candida</italic> species were isolated by the hospital&#x2019;s clinical microbiology laboratory and if treating physicians had a clinical suspicion of fungal infection based on presenting symptoms and guiedlines established by China Medical Associations (<xref ref-type="bibr" rid="B22">Keighley et al., 2021</xref>). For multiple detections of the same species, only the first <italic>Candida</italic> isolate was included in the analysis. The clinical and demographical data related to patient age, gender, Body Mass Index (BMI), Karnofsky Performance Status (KPS), cancer type, cancer treatment, underlying comorbidities, invasive procedures, medical interventions, days stayed in the hospital, 30 days, and all-cause mortality was collected from the hospital&#x2019;s electronic record. The data on the consumption of antifungal drugs such as fluconazole and caspofungin were collected from the hospital&#x2019;s information department. Antifungal doses were converted to defined daily doses per 1,000 patients (DDD/1,000 patients) following DDD classification and assignment guidelines (accessed January 12, 2025).<sup><xref ref-type="fn" rid="footnote1">1</xref></sup> The data related to the antifungal susceptibilities of <italic>Candida</italic> species were collected in the form of MICs detected against each species for each tested drug. Two groups of researchers cross-checked all the data to minimize subjective bias.</p>
</sec>
<sec id="S2.SS3">
<title>Routine microbiology laboratory protocol</title>
<p>Clinical specimens from suspected infection sites were routinely cultured on Sabouraud dextrose agar and Chromogenic <italic>Candida</italic> medium (Zhengzhou Renfu Bosai Biotechnology Co., Ltd., China). The plates were incubated at 28&#x00B0;C for 24&#x2013;72 h. A Smart MS 5020 microbial mass spectrometer (Zhuhai Deere Bioengineering Co., Ltd., China) was used for species-level identification, employing matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Antifungal susceptibility testing was performed using the YO1O fungal susceptibility panel (Thermo Fisher Scientific, United States). Minimum inhibitory concentrations (MICs) were recorded, and phenotypic resistance or susceptibility was interpreted using CLSI M60 and M57S guidelines (<xref ref-type="bibr" rid="B7">CLSI, 2022</xref>; <xref ref-type="bibr" rid="B8">CLSI, 2024</xref>). For itraconazole against <italic>C. albicans</italic>, EUCAST breakpoints were used (accessed January 12, 2025).<sup><xref ref-type="fn" rid="footnote2">2</xref></sup> Where no official breakpoints were available (e.g., 5-flucytosine against all <italic>Candida</italic> species and itraconazole against <italic>P. kudriavzevii</italic>), interpretation was based on published literature (<xref ref-type="bibr" rid="B36">Pfaller et al., 2012</xref>).</p>
</sec>
<sec id="S2.SS4">
<title>Data and statistical analysis</title>
<p>All data were cleaned and processed using Excel 2021. <italic>Candida</italic> isolates were categorized into <italic>C. albicans</italic> and non-<italic>albicans Candida</italic> (NAC) groups. Year-wise incidence and species proportions were analyzed. Chi-square tests were used to compare <italic>C. albicans</italic> and NAC across cancer types, and the distribution of <italic>Candida</italic> species within each cancer type was assessed. Univariate and multivariate logistic regression analyses were conducted to identify risk factors associated with NAC compared to <italic>C. albicans</italic>. Antifungal susceptibility data were analyzed based on MIC values, including MIC ranges, MIC50, MIC90, isolate counts, and the percentages of susceptible/wild-type, resistant/non-wild-type, and intermediate/susceptible dose-dependent isolates for each drug and species. Pearson correlation analysis was performed between the consumption of fluconazole and caspofungin (expressed as DDD/1,000 patient days) and the distribution and proportion of non-susceptible isolates. The survival probabilities of <italic>C. albicans</italic> and the NAC group were evaluated via Kaplan-Meier survival curves analysis. Furthermore, the Cox proportional hazards regression model was used to analyze the risk of death in <italic>C. albicans</italic> versus NAC. All statistical analysis and visualization were performed using GraphPad Prism (v. 9) and R (v. 4.4.1). A <italic>p</italic>-value smaller than 0.05 was considered statistically significant in all cases.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Distribution of <italic>Candida</italic> species</title>
<p>During the study, a total of 2,761 cases of <italic>Candida</italic> species were reported, of which 1,703 (61.68%) were <italic>C. albicans</italic>, 454 (16.44%) were <italic>C. tropicalis</italic>, 394 (14.27%) were <italic>Nakaseomyces glabrata</italic>, 123 (4.45%) were <italic>C. parapsilosis</italic>, 68 (2.46%) were <italic>Pichia kudriavzevii</italic>, 13 (0.47%) were <italic>Clavispora lusitaniae</italic>, and 6 (0.21%) were <italic>Meyerozyma guilliermondii</italic>. The high incidence of <italic>Candida</italic> species was reported in 2019 (7.89/1,000 admissions), followed by 2020 (6.63/1,000 admissions) and 2021 (6.5/1,000 admissions), while the lowest incidence was observed in 2018 (3.9/1,000 admissions). Overall, <italic>C. albicans</italic> remained more common than NAC, but its proportion declined each year from 2018 to 2024, while NAC rates increased. The year-wise incidence and proportion of <italic>Candida</italic> species are presented in <xref ref-type="fig" rid="F1">Figure 1</xref>. Regarding various cancer types, a high proportion of <italic>Candida</italic> species were reported from lung cancer patients (<italic>n</italic> = 992, 35.93%), followed by nasopharyngeal cancer (<italic>n</italic> = 278. 10.07%), urogenital (<italic>n</italic> = 249, 9.02%), and colon cancer (<italic>n</italic> = 204, 7.38%). A total of 182 (6.59%) cases of hematological cancers were reported, of which 148 were lymphoma, 18 were myeloma, and 16 were leukemia. The proportion of various <italic>Candida</italic> species in different cancer types is presented in <xref ref-type="fig" rid="F2">Figure 2</xref>. Furthermore, the distribution of <italic>C. albicans</italic> versus NAC was analyzed across multiple cancer types (<xref ref-type="fig" rid="F3">Figure 3</xref>). <italic>C. albicans</italic> was significantly more prevalent in lung and nasopharyngeal cancer. In contrast, for the brain and CNS, colon, gastric, and urogenital cancers, the proportions of NAC were significantly higher than those of <italic>C. albicans</italic>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Year-wise occurrence of Candida species in the current study, <bold>(a)</bold> incidence per 1,000 admissions; <bold>(b)</bold> proportions of <italic>Candida</italic> species.</p></caption>
<alt-text>Line and bar charts displaying incidence and proportion of various Candida species from 2018 to 2024. Chart (a) shows incidence per 1,000 admissions with lines for each species; Candida albicans and total incidence are notable. Chart (b) indicates proportion percentages, with Nakaseomyces glabrata consistently prominent, followed by fluctuations in Candida albicans and other species.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1630226-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Proportion of different <italic>Candida</italic> species in various cancer types. Each species&#x2019; proportion in each cancer type is written at the top of each bar.</p></caption>
<alt-text>Bar charts depict the proportion of different Candida and related fungal species in various cancer types. Each chart represents a different species: Candida albicans, Candida tropicalis, Nakaseomyces glabrata, Candida parapsilosis, Pichia kudriavzevii, Clavispora lusitaniae, and Meyerozyma guilliermondii. The proportions are shown in percentages, with different colors indicating cancer types such as bone, brain, lung, and others. A legend correlates colors to specific cancer types.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1630226-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Comparative analysis of <italic>C. albicans</italic> and non-<italic>albicans Candida</italic> across cancer types. Species counts are shown above each bar, with significant <italic>p</italic>-values indicated above the corresponding cancer types.</p></caption>
<alt-text>Bar graph comparing the percentages of Candida albicans and non-albicans Candida infections across different body sites. Candida albicans shows a higher prevalence in the lung and nasopharyngeal areas, while non-albicans Candida shows a notable presence in thymoma. Data labels indicate statistical significance, with Candida albicans having a greater presence overall.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1630226-g003.tif"/>
</fig>
<p>A large number of cases involved lung cancer patients, leading to most <italic>Candida</italic> isolates being cultured from sputum (71.02%) and throat swabs (4.6%). From blood samples, a total of 39 cases were reported, of which 16 were <italic>C. parapsilosis</italic>, 14 were <italic>C. albicans</italic>, 5 were <italic>C. tropicalis</italic>, 2 were <italic>N. glabrata</italic>, and one each was <italic>P. kudriavzevii</italic> and <italic>M. guilliermondii</italic>. The percentages of <italic>Candida</italic> species reported from various specimen types are shown in <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>.</p>
</sec>
<sec id="S3.SS2">
<title>Demographical, clinical, and risk factors analysis of non-<italic>albicans Candida</italic> versus <italic>C. albicans</italic></title>
<p>The proportions of demographic and clinical variables related to risk factors, along with the univariate regression analysis of NAC versus <italic>C. albicans</italic>, are presented in <xref ref-type="table" rid="T1">Table 1</xref>. Regarding gender, the proportion of males (<italic>n</italic> = 1876, 67.95%) was higher than females (<italic>n</italic> = 885, 32.05%). The difference between NAC and <italic>C. albicans</italic> regarding gender was statistically insignificant. The median age (IQR) of the NAC group was 65 (55&#x2013;72), while that for <italic>C. albicans</italic> was 64 (57&#x2013;71). The median (IQR) for BMI, KPS, and hospital stay duration were slightly higher in the <italic>C. albicans</italic> group compared to the NAC group. Regarding cancer treatments, most patients underwent oncological surgeries (<italic>n</italic> = 844, 30.57%), followed by chemotherapy (<italic>n</italic> = 837, 30.32%), with only 6 patients (0.22%) receiving interventional therapies. The proportion of <italic>C. albicans</italic> was significantly higher in patients who underwent radiotherapy and targeted therapy. Respiratory failure, hypoproteinemia, electrolyte imbalance, anemia, hypokalemia, renal failure, thrombocytopenia, and urinary and biliary tract infections were significantly more common in the NAC group than in the <italic>C. albicans</italic> group. Invasive procedures and medical interventions, such as general surgeries, blood transfusions, mechanical ventilation, indwelling catheters, and inappropriate empirical therapies, were more commonly associated with the NAC group. Conversely, patients receiving glucocorticoids or parenteral nutrition, or those with chest tubes, had a higher proportion of <italic>C. albicans</italic> isolates.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Univariate regression analysis of NAC and <italic>C. albicans.</italic></p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Variables</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Total = 2,761 (%)</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Non-albicans <italic>Candida</italic> = 1,058 (38.31%)</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>C. albicans</italic> = 1,703 (61.68%)</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">OR (95% CI)</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="6" style="background-color: #dcdcdc;"><bold>Demographic and basic characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">1,876 (67.95)</td>
<td valign="top" align="left">701 (66.26)</td>
<td valign="top" align="left">1,175 (69.99)</td>
<td valign="top" align="left">0.88 (0.75&#x2013;1.04)</td>
<td valign="top" align="left">0.14</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">885 (32.05)</td>
<td valign="top" align="left">357 (33.74)</td>
<td valign="top" align="left">528 (31)</td>
<td valign="top" align="left">1.13 (0.96&#x2013;1.33)</td>
<td valign="top" align="left">0.14</td>
</tr>
<tr>
<td valign="top" align="left">Age median (IQR)</td>
<td valign="top" align="left">65 (56&#x2013;71)</td>
<td valign="top" align="left">65 (55&#x2013;72)</td>
<td valign="top" align="left">64 (57&#x2013;71)</td>
<td valign="top" align="left">0.99 (0.98&#x2013;1.0)</td>
<td valign="top" align="left">0.08</td>
</tr>
<tr>
<td valign="top" align="left">BMI median (IQR)</td>
<td valign="top" align="left">20.87 (18.8&#x2013;23.44)</td>
<td valign="top" align="left">20.57 (18.5&#x2013;23.10)</td>
<td valign="top" align="left">21.13 (19.03&#x2013;23.53)</td>
<td valign="top" align="left">1 (0.99&#x2013;1)</td>
<td valign="top" align="left">0.43</td>
</tr>
<tr>
<td valign="top" align="left">KPS median (IQR)</td>
<td valign="top" align="left">80 (80&#x2013;90)</td>
<td valign="top" align="left">80 (70&#x2013;90)</td>
<td valign="top" align="left">80 (80&#x2013;90)</td>
<td valign="top" align="left">0.98 (0.99&#x2013;1)</td>
<td valign="top" align="left"><bold> &#x003C; 0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Days stay in hospital median (IQR)</td>
<td valign="top" align="left">22 (14&#x2013;34)</td>
<td valign="top" align="left">21 (12&#x2013;33)</td>
<td valign="top" align="left">23 (15&#x2013;35)</td>
<td valign="top" align="left">0.99 (0.98&#x2013;1.0)</td>
<td valign="top" align="left"><bold>0.01</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color: #dcdcdc;"><bold>Cancer treatment</bold></td>
</tr>
<tr>
<td valign="top" align="left">Chemotherapy</td>
<td valign="top" align="left">837 (30.32)</td>
<td valign="top" align="left">303 (28.64)</td>
<td valign="top" align="left">534 (31.36)</td>
<td valign="top" align="left">0.88 (0.74&#x2013;1.04)</td>
<td valign="top" align="left">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Radiotherapy</td>
<td valign="top" align="left">431 (15.61)</td>
<td valign="top" align="left">108 (10.21)</td>
<td valign="top" align="left">323 (18.97)</td>
<td valign="top" align="left">0.49 (0.38&#x2013;0.61)</td>
<td valign="top" align="left"><bold> &#x003C; 0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Oncologic surgery</td>
<td valign="top" align="left">844 (30.57)</td>
<td valign="top" align="left">335 (31.66)</td>
<td valign="top" align="left">509 (29.89)</td>
<td valign="top" align="left">1.09 (0.92&#x2013;1.28)</td>
<td valign="top" align="left">0.33</td>
</tr>
<tr>
<td valign="top" align="left">Targeted therapy</td>
<td valign="top" align="left">457 (16.55)</td>
<td valign="top" align="left">136 (12.85)</td>
<td valign="top" align="left">321 (18.85)</td>
<td valign="top" align="left">0.63 (0.51&#x2013;0.78)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Endocrine therapy</td>
<td valign="top" align="left">39 (1.41)</td>
<td valign="top" align="left">16 (1.51)</td>
<td valign="top" align="left">23 (1.35)</td>
<td valign="top" align="left">1.12 (0.58&#x2013;2.12)</td>
<td valign="top" align="left">0.73</td>
</tr>
<tr>
<td valign="top" align="left">Interventional therapy</td>
<td valign="top" align="left">6 (0.22)</td>
<td valign="top" align="left">2 (0.19)</td>
<td valign="top" align="left">4 (0.23)</td>
<td valign="top" align="left">0.64 (0.09&#x2013;2.99)</td>
<td valign="top" align="left">0.6</td>
</tr>
<tr>
<td valign="top" align="left">Immunotherapy</td>
<td valign="top" align="left">170 (6.16)</td>
<td valign="top" align="left">77 (7.28)</td>
<td valign="top" align="left">93 (5.46)</td>
<td valign="top" align="left">1.36 (0.99&#x2013;1.86)</td>
<td valign="top" align="left">0.05</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color: #dcdcdc;"><bold>Comorbidities and clinical conditions</bold></td>
</tr>
<tr>
<td valign="top" align="left">Respiratory failure</td>
<td valign="top" align="left">316 (11.45)</td>
<td valign="top" align="left">147 (13.89)</td>
<td valign="top" align="left">169 (9.92)</td>
<td valign="top" align="left">1.46 (1.16&#x2013;1.85)</td>
<td valign="top" align="left">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Hypoproteinemia</td>
<td valign="top" align="left">1,006 (36.44)</td>
<td valign="top" align="left">467 (44.14)</td>
<td valign="top" align="left">539 (31.65)</td>
<td valign="top" align="left">1.71 (1.46&#x2013;2)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="left">201 (7.28)</td>
<td valign="top" align="left">70 (6.62)</td>
<td valign="top" align="left">131 (7.69)</td>
<td valign="top" align="left">0.85 (0.63&#x2013;1.14)</td>
<td valign="top" align="left">0.29</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">105 (3.8)</td>
<td valign="top" align="left">32 (3.02)</td>
<td valign="top" align="left">73 (4.29)</td>
<td valign="top" align="left">0.7 (0.45&#x2013;1.05)</td>
<td valign="top" align="left">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Electrolyte imbalance</td>
<td valign="top" align="left">342 (12.39)</td>
<td valign="top" align="left">178 (16.82)</td>
<td valign="top" align="left">164 (9.63)</td>
<td valign="top" align="left">1.9 (1.51&#x2013;2.38)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cardiovascular disorders</td>
<td valign="top" align="left">437 (15.83)</td>
<td valign="top" align="left">182 (17.2)</td>
<td valign="top" align="left">255 (14.97)</td>
<td valign="top" align="left">1.18 (0.96&#x2013;1.45)</td>
<td valign="top" align="left">0.12</td>
</tr>
<tr>
<td valign="top" align="left">Anemia</td>
<td valign="top" align="left">710 (25.72)</td>
<td valign="top" align="left">350 (33.08)</td>
<td valign="top" align="left">360 (21.14)</td>
<td valign="top" align="left">1.84 (1.55&#x2013;2.19)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Myelosuppression</td>
<td valign="top" align="left">542 (19.63)</td>
<td valign="top" align="left">190 (17.96)</td>
<td valign="top" align="left">352 (20.67)</td>
<td valign="top" align="left">0.84 (0.69&#x2013;1.02)</td>
<td valign="top" align="left">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Pneumonia</td>
<td valign="top" align="left">479 (17.35)</td>
<td valign="top" align="left">177 (16.73)</td>
<td valign="top" align="left">302 (17.73)</td>
<td valign="top" align="left">0.93 (0.76&#x2013;1.14)</td>
<td valign="top" align="left">0.5</td>
</tr>
<tr>
<td valign="top" align="left">Hypokalemia</td>
<td valign="top" align="left">323 (11.7)</td>
<td valign="top" align="left">142 (13.42)</td>
<td valign="top" align="left">181 (10.63)</td>
<td valign="top" align="left">1.3 (1.03&#x2013;1.65)</td>
<td valign="top" align="left">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Ascites</td>
<td valign="top" align="left">129 (4.67)</td>
<td valign="top" align="left">52 (4.91)</td>
<td valign="top" align="left">77 (4.52)</td>
<td valign="top" align="left">1.09 (0.76&#x2013;1.56)</td>
<td valign="top" align="left">0.63</td>
</tr>
<tr>
<td valign="top" align="left">Thrombosis</td>
<td valign="top" align="left">72 (2.61)</td>
<td valign="top" align="left">33 (3.12)</td>
<td valign="top" align="left">39 (2.29)</td>
<td valign="top" align="left">1.37 (0.85&#x2013;2.2)</td>
<td valign="top" align="left">0.19</td>
</tr>
<tr>
<td valign="top" align="left">Renal dysfunction/failure</td>
<td valign="top" align="left">593 (21.48)</td>
<td valign="top" align="left">266 (25.14)</td>
<td valign="top" align="left">327 (19.2)</td>
<td valign="top" align="left">1.41 (1.18&#x2013;1.7)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cerebral infarction</td>
<td valign="top" align="left">41 (1.48)</td>
<td valign="top" align="left">15 (1.42)</td>
<td valign="top" align="left">26 (1.53)</td>
<td valign="top" align="left">0.93 (0.48&#x2013;1.74)</td>
<td valign="top" align="left">0.82</td>
</tr>
<tr>
<td valign="top" align="left">Pleural effusion</td>
<td valign="top" align="left">370 (13.4)</td>
<td valign="top" align="left">144 (13.61)</td>
<td valign="top" align="left">226 (13.27)</td>
<td valign="top" align="left">1.03 (0.82&#x2013;1.29)</td>
<td valign="top" align="left">0.8</td>
</tr>
<tr>
<td valign="top" align="left">Hypoalbuminemia</td>
<td valign="top" align="left">48 (1.74)</td>
<td valign="top" align="left">13 (1.23)</td>
<td valign="top" align="left">35 (2.06)</td>
<td valign="top" align="left">0.59 (0.3&#x2013;1.1)</td>
<td valign="top" align="left">0.11</td>
</tr>
<tr>
<td valign="top" align="left">Urinary tract infection</td>
<td valign="top" align="left">75 (2.72)</td>
<td valign="top" align="left">42 (3.97)</td>
<td valign="top" align="left">33 (1.94)</td>
<td valign="top" align="left">2.09 (1.32&#x2013;3.34)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Septic shock</td>
<td valign="top" align="left">101 (3.66)</td>
<td valign="top" align="left">42 (3.97)</td>
<td valign="top" align="left">59 (3.46)</td>
<td valign="top" align="left">1.15 (0.77&#x2013;1.72)</td>
<td valign="top" align="left">0.49</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis B</td>
<td valign="top" align="left">40 (1.45)</td>
<td valign="top" align="left">15 (1.42)</td>
<td valign="top" align="left">25 (1.47)</td>
<td valign="top" align="left">0.97 (0.5&#x2013;1.82)</td>
<td valign="top" align="left">0.91</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal liver function</td>
<td valign="top" align="left">279 (10.11)</td>
<td valign="top" align="left">113 (10.68)</td>
<td valign="top" align="left">166 (9.75)</td>
<td valign="top" align="left">1.11 (0.86&#x2013;1.42)</td>
<td valign="top" align="left">0.43</td>
</tr>
<tr>
<td valign="top" align="left">Thrombocytopenia</td>
<td valign="top" align="left">158 (5.72)</td>
<td valign="top" align="left">79 (7.47)</td>
<td valign="top" align="left">79 (4.64)</td>
<td valign="top" align="left">1.66 (1.2&#x2013;2.29)</td>
<td valign="top" align="left">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory tract infection</td>
<td valign="top" align="left">72 (2.61)</td>
<td valign="top" align="left">25 (2.36)</td>
<td valign="top" align="left">47 (2.76)</td>
<td valign="top" align="left">0.85 (0.51&#x2013;1.38)</td>
<td valign="top" align="left">0.53</td>
</tr>
<tr>
<td valign="top" align="left">COPD</td>
<td valign="top" align="left">48 (1.74)</td>
<td valign="top" align="left">21 (1.98)</td>
<td valign="top" align="left">27 (1.59)</td>
<td valign="top" align="left">1.26 (0.7&#x2013;2.23)</td>
<td valign="top" align="left">0.44</td>
</tr>
<tr>
<td valign="top" align="left">Biliary tract infection</td>
<td valign="top" align="left">44 (1.59)</td>
<td valign="top" align="left">24 (2.27)</td>
<td valign="top" align="left">20 (1.17)</td>
<td valign="top" align="left">1.95 (1.07&#x2013;3.59)</td>
<td valign="top" align="left">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Neutropenia</td>
<td valign="top" align="left">202 (7.32)</td>
<td valign="top" align="left">68 (6.43)</td>
<td valign="top" align="left">134 (7.87)</td>
<td valign="top" align="left">0.8 (1.08&#x2013;0.15)</td>
<td valign="top" align="left">0.15</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color: #dcdcdc;"><bold>Invasive procedures and medical interventions</bold></td>
</tr>
<tr>
<td valign="top" align="left">General surgery</td>
<td valign="top" align="left">429 (15.54)</td>
<td valign="top" align="left">184 (17.39)</td>
<td valign="top" align="left">245 (14.39)</td>
<td valign="top" align="left">1.25 (1.01&#x2013;1.54)</td>
<td valign="top" align="left">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Insulin</td>
<td valign="top" align="left">531 (19.23)</td>
<td valign="top" align="left">208 (19.66)</td>
<td valign="top" align="left">323 (18.97)</td>
<td valign="top" align="left">1.05 (0.86&#x2013;1.27)</td>
<td valign="top" align="left">0.65</td>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoids</td>
<td valign="top" align="left">2,040 (73.89)</td>
<td valign="top" align="left">737 (69.66)</td>
<td valign="top" align="left">1,303 (76.51)</td>
<td valign="top" align="left">0.71 (0.6&#x2013;0.85)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Blood transfusion</td>
<td valign="top" align="left">774 (28.03)</td>
<td valign="top" align="left">336 (31.76)</td>
<td valign="top" align="left">438 (25.72)</td>
<td valign="top" align="left">1.33 (1.13&#x2013;1.58)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Venipuncture catheterization</td>
<td valign="top" align="left">1,849 (66.97)</td>
<td valign="top" align="left">700 (66.16)</td>
<td valign="top" align="left">1,149 (67.47)</td>
<td valign="top" align="left">0.95 (0.81&#x2013;1.12)</td>
<td valign="top" align="left">0.58</td>
</tr>
<tr>
<td valign="top" align="left">Nasal feeding</td>
<td valign="top" align="left">276 (10)</td>
<td valign="top" align="left">114 (10.78)</td>
<td valign="top" align="left">162 (9.51)</td>
<td valign="top" align="left">1.13 (0.87&#x2013;1.45)</td>
<td valign="top" align="left">0.36</td>
</tr>
<tr>
<td valign="top" align="left">Parenteral nutrition</td>
<td valign="top" align="left">296 (10.72)</td>
<td valign="top" align="left">42 (3.97)</td>
<td valign="top" align="left">254 (14.91)</td>
<td valign="top" align="left">0.24 (0.17&#x2013;0.33)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Mechanical ventilation</td>
<td valign="top" align="left">324 (11.73)</td>
<td valign="top" align="left">150 (14.18)</td>
<td valign="top" align="left">174 (10.22)</td>
<td valign="top" align="left">1.4 (1.11&#x2013;0.33)</td>
<td valign="top" align="left">0.01</td>
</tr>
<tr>
<td valign="top" align="left">PICC</td>
<td valign="top" align="left">383 (13.87)</td>
<td valign="top" align="left">144 (13.61)</td>
<td valign="top" align="left">239 (14.03)</td>
<td valign="top" align="left">0.97 (0.77&#x2013;1.20)</td>
<td valign="top" align="left">0.77</td>
</tr>
<tr>
<td valign="top" align="left">CVC</td>
<td valign="top" align="left">808 (29.26)</td>
<td valign="top" align="left">315 (29.77)</td>
<td valign="top" align="left">493 (28.95)</td>
<td valign="top" align="left">1.04 (0.88&#x2013;1.23)</td>
<td valign="top" align="left">0.64</td>
</tr>
<tr>
<td valign="top" align="left">Indwelling catheter</td>
<td valign="top" align="left">1,270 (46)</td>
<td valign="top" align="left">538 (50.85)</td>
<td valign="top" align="left">732 (42.98)</td>
<td valign="top" align="left">1.37 (1.18&#x2013;1.6)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Previous antifungal exposure</td>
<td valign="top" align="left">1,366 (49.47)</td>
<td valign="top" align="left">521 (49.24%)</td>
<td valign="top" align="left">845 (49.61)</td>
<td valign="top" align="left">0.98 (0.84&#x2013;1.15)</td>
<td valign="top" align="left">0.87</td>
</tr>
<tr>
<td valign="top" align="left">Chest tube</td>
<td valign="top" align="left">466 (16.88)</td>
<td valign="top" align="left">124 (11.72)</td>
<td valign="top" align="left">342 (20.08)</td>
<td valign="top" align="left">0.53 (0.43&#x2013;0.66)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Inappropriate empirical therapy</td>
<td valign="top" align="left">90/994 (9.05)</td>
<td valign="top" align="left">76/375 (7.18)</td>
<td valign="top" align="left">14/619 (2.26)</td>
<td valign="top" align="left">11.02 (6.32&#x2013;20.62)</td>
<td valign="top" align="left">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color: #dcdcdc;"><bold>Lifestyle factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">814 (29.48)</td>
<td valign="top" align="left">301 (28.45)</td>
<td valign="top" align="left">513 (30.12)</td>
<td valign="top" align="left">0.92 (0.77&#x2013;1.09)</td>
<td valign="top" align="left">0.34</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="left">335 (12.13)</td>
<td valign="top" align="left">141 (13.33)</td>
<td valign="top" align="left">194 (11.39)</td>
<td valign="top" align="left">1.19 (0.94&#x2013;1.50)</td>
<td valign="top" align="left">0.13</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values in bold present significance at &#x003C; 0.05. OR, odd ratio; CI, confidence interval; IQR, inter quartile range; BMI, body mass index; KPS, karnofsky performance status; COPD, chronic obstructive pulmonary disease; PICC, peripherally inserted central catheter; CVC, central venous catheter.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Furthermore, multivariate regression analysis was performed to determine independent risk factors for NAC and <italic>C. albicans</italic> groups. The inappropriate empirical therapies showed a significantly strong association with the NAC group, with the OR (95% CI) of 13.8 (7.57&#x2013;26.89) and a <italic>p</italic>-value of &#x003C; 0.001. Other independent risk factors for NAC included hypoproteinemia (OR = 1.35, <italic>P</italic> = 0.002), anemia (OR = 1.28, <italic>P</italic> = 0.02), urinary tract infection (OR = 1.71, <italic>P</italic> = 0.03), and the use of an indwelling catheter (OR = 1.27, <italic>P</italic> = 0.02). The OR (95% CI) and <italic>p</italic>-value for KPS were 0.99 (0.99&#x2013;1) and 0.02, respectively, indicating that patients with poor performance status are more likely to develop NAC infections. Conversely, radiotherapy (OR = 0.59, <italic>P</italic> &#x003C; 0.001), targeted therapy (OR = 0.74, <italic>P</italic> = 0.01), glucocorticoid use (OR = 0.71, <italic>P</italic> &#x003C; 0.001), chest tube insertion (OR = 0.47, <italic>P</italic> &#x003C; 0.001), and parenteral nutrition (OR = 0.23, <italic>P</italic> &#x003C; 0.001) were significantly associated with <italic>C. albicans</italic> group (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Multivariate regression analysis of non-<italic>albicans Candida</italic> and <italic>C. albicans</italic> groups.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Variable</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">OR</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">95% CI</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">(Intercept)</td>
<td valign="top" align="left">1.31</td>
<td valign="top" align="left">(0.79 to 2.17)</td>
<td valign="top" align="left">0.29</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Basic characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Days stay in hospital</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">(0.99 to 1)</td>
<td valign="top" align="left">0.56</td>
</tr>
<tr>
<td valign="top" align="left">KPS</td>
<td valign="top" align="left">0.99</td>
<td valign="top" align="left">(0.99 to 1)</td>
<td valign="top" align="left"><bold>0.02</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Cancer treatments</bold></td>
</tr>
<tr>
<td valign="top" align="left">Radiotherapy</td>
<td valign="top" align="left">0.59</td>
<td valign="top" align="left">(0.44 to 0.78)</td>
<td valign="top" align="left"><bold> &#x003C; 0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Targeted therapy</td>
<td valign="top" align="left">0.74</td>
<td valign="top" align="left">(0.58 to 0.93)</td>
<td valign="top" align="left"><bold>0.01</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Comorbidities and clinical conditions</bold></td>
</tr>
<tr>
<td valign="top" align="left">Respiratory failure</td>
<td valign="top" align="left">1.03</td>
<td valign="top" align="left">(0.76 to 1.38)</td>
<td valign="top" align="left">0.87</td>
</tr>
<tr>
<td valign="top" align="left">Hypoproteinemia</td>
<td valign="top" align="left">1.35</td>
<td valign="top" align="left">(1.11 to 1.65)</td>
<td valign="top" align="left"><bold>0.002</bold></td>
</tr>
<tr>
<td valign="top" align="left">Electrolyte imbalance</td>
<td valign="top" align="left">1.22</td>
<td valign="top" align="left">(0.94 to 1.59)</td>
<td valign="top" align="left">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Anemia</td>
<td valign="top" align="left">1.28</td>
<td valign="top" align="left">(1.05 to 1.57)</td>
<td valign="top" align="left"><bold>0.02</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypokalemia</td>
<td valign="top" align="left">1.06</td>
<td valign="top" align="left">(0.82 to 1.37)</td>
<td valign="top" align="left">0.65</td>
</tr>
<tr>
<td valign="top" align="left">Renal dysfunction/failure</td>
<td valign="top" align="left">1.07</td>
<td valign="top" align="left">(0.87 to 1.31)</td>
<td valign="top" align="left">0.53</td>
</tr>
<tr>
<td valign="top" align="left">Urinary tract infection</td>
<td valign="top" align="left">1.71</td>
<td valign="top" align="left">(1.05 to 2.82)</td>
<td valign="top" align="left"><bold>0.03</bold></td>
</tr>
<tr>
<td valign="top" align="left">Thrombocytopenia</td>
<td valign="top" align="left">1.11</td>
<td valign="top" align="left">(0.77 to 1.58)</td>
<td valign="top" align="left">0.58</td>
</tr>
<tr>
<td valign="top" align="left">Biliary tract infection</td>
<td valign="top" align="left">1.55</td>
<td valign="top" align="left">(0.82 to 2.95)</td>
<td valign="top" align="left">0.18</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Invasive procedures and medical interventions</bold></td>
</tr>
<tr>
<td valign="top" align="left">General surgery</td>
<td valign="top" align="left">1.1</td>
<td valign="top" align="left">(0.88 to 1.38)</td>
<td valign="top" align="left">0.39</td>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoids</td>
<td valign="top" align="left">0.71</td>
<td valign="top" align="left">(0.59 to 0.85)</td>
<td valign="top" align="left"><bold> &#x003C; 0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Blood transfusion</td>
<td valign="top" align="left">1.03</td>
<td valign="top" align="left">(0.83 to 1.26)</td>
<td valign="top" align="left">0.81</td>
</tr>
<tr>
<td valign="top" align="left">Parenteral nutrition</td>
<td valign="top" align="left">0.23</td>
<td valign="top" align="left">(0.16 to 0.32)</td>
<td valign="top" align="left"><bold> &#x003C; 0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mechanical ventilation</td>
<td valign="top" align="left">1.29</td>
<td valign="top" align="left">(0.95 to 1.74)</td>
<td valign="top" align="left">0.1</td>
</tr>
<tr>
<td valign="top" align="left">Indwelling catheter</td>
<td valign="top" align="left">1.27</td>
<td valign="top" align="left">(1.04 to 1.54)</td>
<td valign="top" align="left"><bold>0.02</bold></td>
</tr>
<tr>
<td valign="top" align="left">Chest tube</td>
<td valign="top" align="left">0.47</td>
<td valign="top" align="left">(0.37 to 0.6)</td>
<td valign="top" align="left"><bold> &#x003C; 0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Inappropriate empirical therapy</td>
<td valign="top" align="left">13.8</td>
<td valign="top" align="left">(7.57 to 26.89)</td>
<td valign="top" align="left"><bold> &#x003C; 0.001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values in bold present significance at &#x003C; 0.05. OR, odd ratio; CI, confidence interval; KPS, karnofsky performance status.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Antifungal susceptibility profiles</title>
<p>A total of nine antifungal drugs: amphotericin B, anidulafungin, caspofungin, fluconazole, voriconazole, itraconazole, micafungin, posaconazole, and 5-flucytosine, were tested against all <italic>Candida</italic> species. The MIC values analysis and percentage of susceptible/wild types, resistant/non-wild types, and intermediate or susceptible dose-dependent for all species are presented in <xref ref-type="table" rid="T3">Table 3</xref>. <italic>C. albicans</italic> showed &#x003E; 99% susceptibility/non-wild types to amphotericin B, echinocandins and azoles such as voriconazole and posaconazole. However, 6.67 and 3.52% of <italic>C. albicans</italic> isolates were non-wild type for itraconazole and 5-flucytosine, respectively. Similarly, 1.23% of <italic>C. albicans</italic> isolates were resistant, and 1.29% were susceptible-dose dependent (SDD) to fluconazole. A high proportion of resistant or non-wild-type <italic>C. tropicalis</italic> isolates was noted against fluconazole, voriconazole, itraconazole, and posaconazole, with percentages of 40.9, 51.32, 74.45, and 64.98%, respectively. However, amphotericin B and echinocandins were effective, with susceptibilities of greater than 99% and greater than 96%, respectively. The resistant proportions of fluconazole, voriconazole, and posaconazole against <italic>N. glabrata</italic> isolates were 7.36, 12.94, and 6.6%, respectively. Amphotericin B (99.49%) remains the most effective drug against <italic>N. glabrata</italic> isolates. Among echinocandins, the lowest susceptibility was reported against micafungin (92.64%), followed by anidulafungin (93.91%) and caspofungin (94.42%). <italic>P. kudriavzevii</italic> isolates were 100% susceptible to amphotericin B and itraconazole. Similarly, 77.94% of <italic>P. kudriavzevii</italic> isolates were susceptible/non-wild types against voriconazole and 5-flucytosine. For <italic>C. parapsilosis</italic>, the lowest susceptibility was reported against fluconazole (79.67%), followed by voriconazole (89.43%). For all other drugs, susceptibility was greater than 90%. Among the 13 tested <italic>C. lusitaniae</italic> isolates, only three were non-wild type against fluconazole, while all remained wild type against the other tested drugs. Similarly, all six <italic>M. guilliermondii</italic> isolates were susceptible to all tested drugs. Amphotericin B was the more effective drug against all species, and echinocandins maintained robust activities.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Antifungal susceptibility profile of <italic>Candida</italic> species in the current study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Species</td>
<td valign="top" align="center" colspan="16" style="color:#ffffff;background-color: #7f8080;">MIC</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Range</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">MIC50</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">MIC90</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">GM</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">WT/S (%)</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">NWT/R (%)</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">I/SDD (%)</td>
</tr>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Antifungal drugs</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">0.0075</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">0.015</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">0.03</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">0.06</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">0.12</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">0.25</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">0.5</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">1</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">2</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">4</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">8</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">16</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">32</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">64</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">128</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">256</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="24" style="background-color: #dcdcdc;"><bold><italic>C. albicans</italic></bold></td>
</tr>
<tr>
<td valign="top" align="left">Amphotericin B</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">47</td>
<td valign="top" align="center">721</td>
<td valign="top" align="center">862</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">3</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.12&#x2013;4</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.37</td>
<td valign="top" align="left">1,700 (99.82)</td>
<td valign="top" align="left">3 (0.18)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anidulafungin</td>
<td/>
<td valign="top" align="center">399</td>
<td valign="top" align="center">449</td>
<td valign="top" align="center">593</td>
<td valign="top" align="center">245</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;8</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">1,698 (99.71)</td>
<td valign="top" align="left">2 (0.12)</td>
<td valign="top" align="left">3 (0.18)</td>
</tr>
<tr>
<td valign="top" align="left">Caspofungin</td>
<td/>
<td valign="top" align="center">111</td>
<td valign="top" align="center">918</td>
<td valign="top" align="center">574</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;8</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">1,700 (99.82)</td>
<td valign="top" align="left">3 (0.18)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Fluconazole</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">105</td>
<td valign="top" align="center">704</td>
<td valign="top" align="center">701</td>
<td valign="top" align="center">114</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">5</td>
<td/>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="left">0.12&#x2013;128</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.4</td>
<td valign="top" align="left">1,660 (97.48)</td>
<td valign="top" align="left">21 (1.23)</td>
<td valign="top" align="left">22 (1.29)</td>
</tr>
<tr>
<td valign="top" align="left">Voriconazole</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">1,468</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">11</td>
<td/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.0075&#x2013;4</td>
<td valign="top" align="left">0.015</td>
<td valign="top" align="left">0.015</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">1,678 (98.53)</td>
<td valign="top" align="left">1 (0.06)</td>
<td valign="top" align="left">24 (1.41)</td>
</tr>
<tr>
<td valign="top" align="left">Itraconazole</td>
<td/>
<td valign="top" align="center">381</td>
<td valign="top" align="center">610</td>
<td valign="top" align="center">596</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">4</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;1</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">1,589 (93.31)</td>
<td valign="top" align="left">114 (6.69)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Micafungin</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">1,502</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">4</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.0075&#x2013;8</td>
<td valign="top" align="left">0.015</td>
<td valign="top" align="left">0.015</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">1,696 (99.59)</td>
<td valign="top" align="left">4 (0.23)</td>
<td valign="top" align="left">3 (0.18)</td>
</tr>
<tr>
<td valign="top" align="left">Posaconazole</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">887</td>
<td valign="top" align="center">661</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.0075&#x2013;8</td>
<td valign="top" align="left">0.015</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">1,642 (96.42)</td>
<td valign="top" align="left">61 (3.58)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">5-Flucytosine</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">1,284</td>
<td valign="top" align="center">292</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="center">39</td>
<td/>
<td/>
<td valign="top" align="left">0.06&#x2013;64</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.09</td>
<td valign="top" align="left">1,643 (96.48)</td>
<td valign="top" align="left">60 (3.52)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="24" style="background-color: #dcdcdc;"><bold><italic>C. tropicalis</italic></bold></td>
</tr>
<tr>
<td valign="top" align="left">Amphotericin B</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">9</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">198</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">13</td>
<td/>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.12&#x2013;8</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.7</td>
<td valign="top" align="left">453 (99.78)</td>
<td valign="top" align="left">1 (0.22)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anidulafungin</td>
<td/>
<td valign="top" align="center">16</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">276</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">4</td>
<td/>
<td/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">6</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;16</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">439 (96.7)</td>
<td valign="top" align="left">10 (2.2)</td>
<td valign="top" align="left">5 (1.1)</td>
</tr>
<tr>
<td valign="top" align="left">Caspofungin</td>
<td/>
<td valign="top" align="center">17</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">138</td>
<td valign="top" align="center">107</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">5</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;16</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.08</td>
<td valign="top" align="left">437 (96.26)</td>
<td valign="top" align="left">14 (3.08)</td>
<td valign="top" align="left">3 (0.66)</td>
</tr>
<tr>
<td valign="top" align="left">Fluconazole</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">142</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">121</td>
<td valign="top" align="left">0.25&#x2013;256</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">256</td>
<td valign="top" align="left">10.11</td>
<td valign="top" align="left">215 (47.36)</td>
<td valign="top" align="left">182 (40.09)</td>
<td valign="top" align="left">57 (12.56)</td>
</tr>
<tr>
<td valign="top" align="left">Voriconazole</td>
<td/>
<td valign="top" align="center">11</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">141</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">121</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;8</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">0.44</td>
<td valign="top" align="left">233 (51.32)</td>
<td valign="top" align="left">157 (34.58)</td>
<td valign="top" align="left">64 (14.1)</td>
</tr>
<tr>
<td valign="top" align="left">Itraconazole</td>
<td/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">168</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">6</td>
<td/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">12</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;32</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.33</td>
<td valign="top" align="left">116 (25.55)</td>
<td valign="top" align="left">338 (74.45)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Micafungin</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">293</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2</td>
<td/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.0075&#x2013;16</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">442 (97.36)</td>
<td valign="top" align="left">11 (2.42)</td>
<td valign="top" align="left">1 (0.22)</td>
</tr>
<tr>
<td valign="top" align="left">Posaconazole</td>
<td/>
<td valign="top" align="center">8</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">103</td>
<td valign="top" align="center">109</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">10</td>
<td/>
<td valign="top" align="center">5</td>
<td valign="top" align="center">9</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;16</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.28</td>
<td valign="top" align="left">159 (35.02)</td>
<td valign="top" align="left">295 (64.98)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">5-Flucytosine</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">360</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6</td>
<td/>
<td valign="top" align="left">0.06&#x2013;128</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.09</td>
<td valign="top" align="left">414 (91.19)</td>
<td valign="top" align="left">40 (8.81)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="24" style="background-color: #dcdcdc;"><bold><italic>Nakaseomyces glabrata</italic></bold></td>
</tr>
<tr>
<td valign="top" align="left">Amphotericin B</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">30</td>
<td valign="top" align="center">112</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.12&#x2013;4</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.44</td>
<td valign="top" align="left">392 (99.49)</td>
<td valign="top" align="left">2 (0.51)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anidulafungin</td>
<td/>
<td valign="top" align="center">95</td>
<td valign="top" align="center">139</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;2</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">370 (93.91)</td>
<td valign="top" align="left">9 (2.28)</td>
<td valign="top" align="left">15 (3.81)</td>
</tr>
<tr>
<td valign="top" align="left">Caspofungin</td>
<td/>
<td valign="top" align="center">30</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">141</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;1</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.05</td>
<td valign="top" align="left">372 (94.42)</td>
<td valign="top" align="left">6 (1.52)</td>
<td valign="top" align="left">16 (4.06)</td>
</tr>
<tr>
<td valign="top" align="left">Fluconazole</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">8</td>
<td valign="top" align="left">0.12&#x2013;256</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">4.27</td>
<td/>
<td valign="top" align="left">29 (7.36)</td>
<td valign="top" align="left">365 (92.64)</td>
</tr>
<tr>
<td valign="top" align="left">Voriconazole</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.0075&#x2013;16</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">343 (87.06)</td>
<td valign="top" align="left">51 (12.94)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Itraconazole</td>
<td/>
<td valign="top" align="center">14</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">122</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">4</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">3</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;32</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.21</td>
<td valign="top" align="left">391 (99.24)</td>
<td valign="top" align="left">3 (0.76)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Micafungin</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">293</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.0075&#x2013;1</td>
<td valign="top" align="left">0.015</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">365 (92.64)</td>
<td valign="top" align="left">15 (3.81)</td>
<td valign="top" align="left">14 (3.55)</td>
</tr>
<tr>
<td valign="top" align="left">Posaconazole</td>
<td/>
<td valign="top" align="center">13</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;16</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.29</td>
<td valign="top" align="left">368 (93.4)</td>
<td valign="top" align="left">26 (6.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">5-Flucytosine</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">348</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">5</td>
<td/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="left">0.06&#x2013;128</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.08</td>
<td valign="top" align="left">376 (95.43)</td>
<td valign="top" align="left">18 (4.57)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="24" style="background-color: #dcdcdc;"><bold><italic>Pichia kudriavzevii</italic></bold></td>
</tr>
<tr>
<td valign="top" align="left">Amphotericin B</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.12&#x2013;2</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.48</td>
<td valign="top" align="left">68 (100)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anidulafungin</td>
<td/>
<td valign="top" align="center">6</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;1</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">66 (97.06)</td>
<td valign="top" align="left">1 (1.47)</td>
<td valign="top" align="left">1 (1.47)</td>
</tr>
<tr>
<td valign="top" align="left">Caspofungin</td>
<td/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;1</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.17</td>
<td valign="top" align="left">60 (88.24)</td>
<td valign="top" align="left">3 (4.41)</td>
<td valign="top" align="left">5 (7.35)</td>
</tr>
<tr>
<td valign="top" align="left">Voriconazole</td>
<td/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;2</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.29</td>
<td valign="top" align="left">53 (77.94)</td>
<td valign="top" align="left">4 (5.88)</td>
<td valign="top" align="left">11 (16.18)</td>
</tr>
<tr>
<td valign="top" align="left">Itraconazole</td>
<td/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;1</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.21</td>
<td valign="top" align="left">68 (100)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Micafungin</td>
<td/>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">5</td>
<td/>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;1</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.1</td>
<td valign="top" align="left">66 (97.06)</td>
<td valign="top" align="left">2 (2.94)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Posaconazole</td>
<td/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;2</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.23</td>
<td valign="top" align="left">65 (95.59)</td>
<td valign="top" align="left">3 (4.41)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">5-Flucytosine</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="center">2</td>
<td/>
<td valign="top" align="center">6</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">14</td>
<td/>
<td/>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="left">0.06&#x2013;128</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">4.84</td>
<td valign="top" align="left">53 (77.94)</td>
<td valign="top" align="left">15 (22.06)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="24" style="background-color: #dcdcdc;"><bold><italic>Candida parapsilosis</italic></bold></td>
</tr>
<tr>
<td valign="top" align="left">Amphotericin B</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">15</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.12&#x2013;8</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">0.33</td>
<td valign="top" align="left">121 (98.37)</td>
<td valign="top" align="left">2 (1.63)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anidulafungin</td>
<td/>
<td valign="top" align="center">9</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;4</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">0.32</td>
<td valign="top" align="left">122 (99.19)</td>
<td/>
<td valign="top" align="left">1 (0.81)</td>
</tr>
<tr>
<td valign="top" align="left">Caspofungin</td>
<td/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">11</td>
<td/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;16</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.21</td>
<td valign="top" align="left">120 (97.56)</td>
<td valign="top" align="left">2 (1.63)</td>
<td valign="top" align="left">1 (0.81)</td>
</tr>
<tr>
<td valign="top" align="left">Fluconazole</td>
<td/>
<td valign="top" align="center">3</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">13</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2</td>
<td/>
<td valign="top" align="center">1</td>
<td valign="top" align="left">0.015&#x2013;256</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">1.06</td>
<td valign="top" align="left">98 (79.67)</td>
<td valign="top" align="left">15 (12.2)</td>
<td valign="top" align="left">10 (8.13)</td>
</tr>
<tr>
<td valign="top" align="left">Voriconazole</td>
<td/>
<td valign="top" align="center">80</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;16</td>
<td valign="top" align="left">0.015</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">110 (89.43)</td>
<td valign="top" align="left">3 (2.44)</td>
<td valign="top" align="left">10 (8.13)</td>
</tr>
<tr>
<td valign="top" align="left">Itraconazole</td>
<td/>
<td valign="top" align="center">32</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;1</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.05</td>
<td valign="top" align="left">111 (90.24)</td>
<td valign="top" align="left">12 (9.76)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Micafungin</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">10</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.0075&#x2013;2</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.29</td>
<td valign="top" align="left">123 (100)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Posaconazole</td>
<td/>
<td valign="top" align="center">42</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.015&#x2013;256</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">115 (93.5)</td>
<td valign="top" align="left">8 (6.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">5-Flucytosine</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">97</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="center">3</td>
<td/>
<td/>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td valign="top" align="left">0.06&#x2013;64</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">0.09</td>
<td valign="top" align="left">118 (95.93)</td>
<td valign="top" align="left">5 (4.07)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>MIC, minimum inhibitory concentration; GM, geometric mean; R, resistant; WT, wild type; S, susceptible; NWT, non-wild type; I, intermediate; SDD, susceptible dose-dependent.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Correlation analysis of antifungal consumption and <italic>Candida</italic> species distribution and resistance</title>
<p>The data on antifungal consumption for fluconazole and caspofungin were converted to DDD/1,000 patients. For fluconazole, the highest DDDs per 1,000 patient-days were reported in 2020 (5.83), followed by 2023 (5.68) and 2022 (5.48). For caspofungin, the highest value was observed in 2023 (0.69), followed by 2024 (0.59) and 2021 (0.57). The linear regression analysis of fluconazole and caspofungin are shown in <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 2</xref>.</p>
<p>A Pearson correlation analysis was performed to examine the relationship between the consumption of caspofungin and fluconazole, species distribution, and the proportion of non-susceptible isolates (<xref ref-type="table" rid="T4">Table 4</xref>). No significant associations were observed between drug consumption and non-susceptibility, except for N. glabrata, where fluconazole consumption was negatively correlated with the proportion of non-susceptible isolates.</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Correlation analysis of caspofungin and fluconazole consumption and distribution and resistant proportion in the current study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" colspan="2" style="color:#ffffff;background-color: #7f8080;">Antifungal drugs/correlation analysis</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>Candida albicans</italic></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>Nakaseomyces glabrata</italic></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>Candida parapsilosis</italic></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>Candida tropicalis</italic></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>Pichia kudriavzevii</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Caspofungin</bold></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Distribution</td>
<td valign="top" align="left"><italic>r</italic> (95% CI)</td>
<td valign="top" align="left">&#x2212;0.84 (&#x2212;0.98 to &#x2212;0.23)</td>
<td valign="top" align="left">0.85 (0.26 to 0.98)</td>
<td valign="top" align="left">0.55 (&#x2212;0.34 to 0.92)</td>
<td valign="top" align="left">0.78 (0.07 to 0.97)</td>
<td valign="top" align="left">0.28 (&#x2212;0.60 to 0.85)</td>
</tr>
<tr>
<td valign="top" align="left">R squared</td>
<td valign="top" align="left">0.7</td>
<td valign="top" align="left">0.72</td>
<td valign="top" align="left">0.31</td>
<td valign="top" align="left">0.61</td>
<td valign="top" align="left">0.08</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>-value</td>
<td valign="top" align="left"><bold>0.02</bold></td>
<td valign="top" align="left"><bold>0.02</bold></td>
<td valign="top" align="left">0.2</td>
<td valign="top" align="left"><bold>0.04</bold></td>
<td valign="top" align="left">0.54</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Non-susceptible</td>
<td valign="top" align="left"><italic>r</italic> (95% CI)</td>
<td valign="top" align="left">0.54 (&#x2212;0.36 to 0.92)</td>
<td valign="top" align="left">&#x2212;0.6 (&#x2212;0.93 to 0.27)</td>
<td valign="top" align="left">&#x2212;0.23 (&#x2212;0.84 to 0.63)</td>
<td valign="top" align="left">0.28 (&#x2212;0.60 to 0.85)</td>
<td valign="top" align="left">0 (&#x2212;0.75 to 0.75)</td>
</tr>
<tr>
<td valign="top" align="left">R squared</td>
<td valign="top" align="left">0.29</td>
<td valign="top" align="left">0.36</td>
<td valign="top" align="left">0.05</td>
<td valign="top" align="left">0.08</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>-value</td>
<td valign="top" align="left">0.21</td>
<td valign="top" align="left">0.15</td>
<td valign="top" align="left">0.62</td>
<td valign="top" align="left">0.54</td>
<td valign="top" align="left">0.99</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Fluconazole</bold></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Distribution</td>
<td valign="top" align="left">r (95% CI)</td>
<td valign="top" align="left">&#x2212;0.63 (&#x2212;0.94 to 0.23)</td>
<td valign="top" align="left">0.57 (&#x2212;0.31 to 0.93)</td>
<td valign="top" align="left">0.78 (0.07 to 0.97)</td>
<td valign="top" align="left">0.58 (&#x2212;0.31 to 0.93)</td>
<td valign="top" align="left">0.24 (&#x2212;0.63 to 0.84)</td>
</tr>
<tr>
<td valign="top" align="left">R squared</td>
<td valign="top" align="left">0.4</td>
<td valign="top" align="left">0.33</td>
<td valign="top" align="left">0.61</td>
<td valign="top" align="left">0.33</td>
<td valign="top" align="left">0.06</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>-value</td>
<td valign="top" align="left">0.13</td>
<td valign="top" align="left">0.18</td>
<td valign="top" align="left"><bold>0.04</bold></td>
<td valign="top" align="left">0.18</td>
<td valign="top" align="left">0.6</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Non-suspectable</td>
<td valign="top" align="left"><italic>r</italic> (95% CI)</td>
<td valign="top" align="left">0.12 (&#x2212;0.70 to 0.80)</td>
<td valign="top" align="left">&#x2212;0.8 (&#x2212;0.97 to &#x2212;0.11)</td>
<td valign="top" align="left">&#x2212;0.3 (&#x2212;0.86 to 0.58)</td>
<td valign="top" align="left">&#x2212;0.2 (&#x2212;0.83 to 0.65)</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">R squared</td>
<td valign="top" align="left">0.01</td>
<td valign="top" align="left">0.64</td>
<td valign="top" align="left">0.09</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>-value</td>
<td valign="top" align="left">0.8</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">0.51</td>
<td valign="top" align="left">0.66</td>
<td valign="top" align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values in bold present significance at &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Notably, caspofungin consumption showed a significant negative correlation with C. albicans distribution (<italic>r</italic> = &#x2212;0.84, <italic>P</italic> = 0.02) and significant positive correlation with C. tropicalis (<italic>r</italic> = 0.78, <italic>P</italic> = 0.04) and N. glabrata (<italic>r</italic> = 0.85, <italic>P</italic> = 0.02), suggesting a shift in Candida distribution from C. albicans to NAC species. Similarly, fluconazole consumption was significantly positively correlated with C. parapsilosis distribution (<italic>r</italic> = 0.78, <italic>P</italic> = 0.04), indicating a possible selective pressure favoring the proliferation of NAC species.</p>
</sec>
<sec id="S3.SS5">
<title>Survival analysis</title>
<p>A total of 185 (6.7%) 30-day mortality cases and 211 (7.64%) all-cause mortality cases were reported across all <italic>Candida</italic> cases. For the NAC group, the 30-day and all-cause mortality rates were 90 (8.69%) and 102 (9.85%), respectively. For the <italic>C. albicans</italic> group, these rates were 95 (5.58%) and 109 (6.4%), respectively. The Kaplan-Meier survival analysis revealed that patients infected with NAC species had a significantly lower survival probability than those infected with <italic>C. albicans</italic> (<italic>p</italic> = 0.0075, log-rank test) (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Kaplan-Meier survival curve analysis of <italic>C. albicans</italic> versus non-<italic>albicans Candida</italic> group.</p></caption>
<alt-text>Kaplan-Meier survival curve showing survival probability over time in days. The yellow line represents *C. albicans* group, and the blue line represents non-*albicans C* group. Both groups show a gradual decline in survival, with non-*albicans C* having a slightly better survival probability. A significant difference is noted with a p-value of 0.0075. Shaded areas indicate confidence intervals for each group.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1630226-g004.tif"/>
</fig>
<p>Furthermore, the Cox proportional hazard model was applied to determine the mortality risk for NAC versus <italic>C. albicans</italic> groups. The result revealed that NAC cases had a 1.5-fold higher risk of mortality compared to <italic>C. albicans</italic> cases (HR = 1.5; 95% CI: 1.1&#x2013;2.0; <italic>P</italic> = 0.008) (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Cox proportional hazards analysis of mortality risk between <italic>Candida albicans</italic> and non-<italic>albicans Candida</italic> groups. #; Numbers, &#x002A;&#x002A;; Significant.</p></caption>
<alt-text>Hazard ratio graph comparing mortality between C. albicans (reference, N=1703) and non-albicans Candida (N=1058). The hazard ratio for non-albicans is 1.5 with a confidence interval of 1.1 to 2. A significant p-value of 0.008 is indicated. Events: 193; Concordance Index: 0.56; AIC: 2829.03.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1630226-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p><italic>Candida</italic> infection is common in cancer patients due to their immunocompromised status, requiring timely management. However, studies focusing on <italic>Candida</italic> isolates from cancer patients in China are limited (<xref ref-type="bibr" rid="B38">Sharifi et al., 2023</xref>). This study comprehensively analyzed the species distribution, risk factors, and antifungal susceptibilities of <italic>Candida</italic> isolates from cancer patients in Jiangxi, China. Overall, <italic>C. albicans</italic> remains dominant in our study; however, the year-wise trend showed a decreasing incidence of <italic>C. albicans</italic> and an increasing trend of NAC. This shifting epidemiological landscape aligns with the previously published literature from China (<xref ref-type="bibr" rid="B23">Khan et al., 2025</xref>). Among the NAC group, <italic>C. tropicalis</italic> was the most frequently reported, followed by <italic>N. glabrata</italic> and <italic>C. parapsilosis</italic>. The high proportion of <italic>C. tropicalis</italic> in our study aligns with previous findings, contrasting with Europe and the United States, where <italic>N. glabrata</italic> is more common (<xref ref-type="bibr" rid="B37">Ricotta et al., 2020</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B45">Wolfgruber et al., 2024</xref>). The variation in species distribution might be due to differences in healthcare practice, patients&#x2019; demographics, and regional latitudes (<xref ref-type="bibr" rid="B3">Bilal et al., 2022</xref>; <xref ref-type="bibr" rid="B23">Khan et al., 2025</xref>). Among the sample types, sputum and throat swabs were the most frequent in our study. This is due to the high proportion of lung and nasopharyngeal cancer cases, for which sputum and throat swab collection is a less invasive and more patient-friendly method to obtain biological specimens (<xref ref-type="bibr" rid="B28">Lucaciu et al., 2024</xref>; <xref ref-type="bibr" rid="B38">Sharifi et al., 2023</xref>). <italic>C. parapsilosis</italic> was predominantly found in blood samples, consistent with its known role in candidemia, due to its affinity for intravascular catheters and ability to form biofilms (<xref ref-type="bibr" rid="B16">Franconi et al., 2023</xref>).</p>
<p>Among the cancer types, <italic>Candida</italic> species were most commonly isolated from patients with lung and nasopharyngeal malignancies. This may be due to their anatomical site, as the respiratory and upper aerodigestive tracts are exposed to the external environment, which poses a high risk of colonization and infection (<xref ref-type="bibr" rid="B27">Liu et al., 2025</xref>). Furthermore, radiotherapies in these cancers can cause salivary gland dysfunction, mucositis, and alterations in oral flora, which facilitate <italic>Candida</italic> colonization and infection (<xref ref-type="bibr" rid="B2">Bhumitrakul et al., 2024</xref>). NAC was significantly predominant in gastric, colon, and urogenital cancers, while <italic>C. albicans</italic> was significantly more prevalent in lung and nasopharyngeal cancers. The unique mucosal environment and frequent exposure to broad-spectrum antimicrobials might selectively favor the colonization of NAC in gastrointestinal and urogenital cancer (<xref ref-type="bibr" rid="B41">Sun et al., 2025</xref>). Conversely, the commensal nature of <italic>C. albicans</italic> in the oropharyngeal tract and its adaptability to an oxygen-rich environment might promote its colonization in infection among lung and nasopharyngeal cancer patients (<xref ref-type="bibr" rid="B12">Debta et al., 2022</xref>).</p>
<p>Regarding risk factor analysis, inappropriate empirical therapies were significantly associated with the NAC group. This may be due to the lower susceptibility of NAC species to commonly used empirical treatments, leading to delayed infection clearance and enabling their proliferation (<xref ref-type="bibr" rid="B21">Katsipoulaki et al., 2024</xref>). Furthermore, correlation analysis was performed with caspofungin and fluconazole consumption, with the distribution of <italic>Candida</italic> species, and the proportion of non-susceptibility. Notably, a negative correlation was observed between caspofungin consumption and <italic>C. albicans</italic> distribution, and positive correlations were observed with <italic>N. glabrata</italic> and <italic>C. tropicalis</italic>. Similarly, a positive correlation was found between fluconazole consumption and <italic>C. parapsilosis</italic>. This finding reinforces our previous observation of the epidemiological shift of <italic>C. albicans</italic> to NAC, as well as the significant association between inappropriate therapies and the NAC group. The <italic>C. albicans</italic> are comparatively more susceptible to antifungal drugs and are mostly cleared with empirical treatments. This selective pressure promotes the emergence of less susceptible NAC species (<xref ref-type="bibr" rid="B11">Dawoud et al., 2024</xref>). Besides this, hypoproteinemia, anemia, UTI, and indwelling catheter use were observed as independent risk factors for the NAC group. The low serum protein level and anemia indicate impaired immune function and oxygen delivery, favoring the proliferation of NAC species (<xref ref-type="bibr" rid="B20">J&#x00F8;rgensen, 2024</xref>). Similarly, UTI disrupts the normal urogenital flora, providing a conducive environment for NAC species colonization and infection. Catheterization is a well-documented risk factor for NAC, as <italic>C. parapsilosis</italic> and <italic>C. tropicalis</italic> form biofilms on its surface, facilitating candidiasis (<xref ref-type="bibr" rid="B44">Wijaya et al., 2023</xref>; <xref ref-type="bibr" rid="B46">Yamin et al., 2021</xref>). Radiotherapy, targeted therapy, glucocorticoid use, chest tube insertion, and parenteral nutrition were independent risk factors for the <italic>C. albicans</italic> group. Studies have shown that radiotherapy and glucocorticoid use impair mucosal immunity, promoting the adhesion and invasiveness of <italic>C. albicans</italic> (<xref ref-type="bibr" rid="B35">Pasman et al., 2022</xref>). Targeted therapy contributes to immunosuppression, promoting the pathogenic transformation of commensal <italic>C. albicans</italic> (<xref ref-type="bibr" rid="B14">Feng et al., 2024</xref>). Similarly, chest tubes and parenteral nutrition provide direct access to a nutritionally rich environment for the proliferation of <italic>C. albicans</italic> species (<xref ref-type="bibr" rid="B6">Cinti et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Nagar et al., 2023</xref>).</p>
<p>Regarding the antifungal susceptibility profiles, amphotericin B was the most susceptible drug against all <italic>Candida</italic> species, reaffirming its status as a potent broad-spectrum antifungal agent. <italic>C. albicans</italic> isolates were susceptible primarily to the tested antifungal agents, except for itraconazole and 5-flucytosine, for which 6.67 and 3.52% of the tested isolates were non-wild types. These findings align with prior studies, which report generally high but not absolute susceptibility to tested antifungal agents (<xref ref-type="bibr" rid="B3">Bilal et al., 2022</xref>). The occasional resistance may be linked to mutations in genes involved in ergosterol biosynthesis, efflux pump regulation, cytosine permease function, and deaminase activity (<xref ref-type="bibr" rid="B18">Huang et al., 2025</xref>). Among the NAC, the azole drugs were less susceptible compared to other antifungal agents. Specifically, the <italic>C. tropicalis</italic> isolates showed high resistance to all azole drugs, with rates of 40.9, 51.32, 74.45, and 64.98% against fluconazole, voriconazole, itraconazole, and posaconazole, respectively. A previously published systematic analysis of data from the past 10 years in China reported high resistance rates, with 22.05% of C. tropicalis isolates being non-susceptible to fluconazole and 16.9% to itraconazole (<xref ref-type="bibr" rid="B3">Bilal et al., 2022</xref>). This high resistance to azole drugs reflects emerging regional resistant trends due to its widespread use. Previous literature attributes such resistance to mechanisms such as ERG11 mutation and efflux pump overexpression (<xref ref-type="bibr" rid="B40">Siqueira et al., 2025</xref>). The echinocandins showed a comparatively less resistant rate (&#x003C;5%) against all NAC species. However, careful administration of echinocandin drugs is required, as some recent studies have reported the emergence of resistance due to mutations in the hotspot region of the FKS1 and FKS2 genes (<xref ref-type="bibr" rid="B13">ElFeky et al., 2025</xref>; <xref ref-type="bibr" rid="B18">Huang et al., 2025</xref>). Notably, 22.06% of <italic>P. kudriavzevii</italic> isolates were non-wild-types against 5-flucytosine. The resistance has been linked in previous reports to mutations in cytosine permease (FCY2) and deficient cytosine deaminase activity, which impair 5-flucytosine uptake and metabolism (<xref ref-type="bibr" rid="B9">Czajka et al., 2023</xref>). These mutations are reportedly more prevalent in <italic>P. kudriavzevii</italic> than in other NAC species (<xref ref-type="bibr" rid="B19">Jamiu et al., 2020</xref>). Therefore, based on the current literature, monotherapy with 5-flucytosine for <italic>P. kudriavzevii</italic> is often unsuitable and may require combination therapy with other antifungal agents such as echinocandins or amphotericin B (<xref ref-type="bibr" rid="B32">Nguyen et al., 2024</xref>).</p>
<p>Overall, the mortality rate in our study (6&#x2013;10%) was comparatively lower than that reported in other studies from China, which have documented rates ranging from 20 to 50% (<xref ref-type="bibr" rid="B4">Bilal et al., 2023</xref>; <xref ref-type="bibr" rid="B10">Dai et al., 2025</xref>; <xref ref-type="bibr" rid="B47">Zhang et al., 2019</xref>). Our lower mortality rate may be attributed to the inclusion of all <italic>Candida</italic> cases, rather than only those involving invasive or bloodstream infections, which are typically associated with a higher mortality rate (<xref ref-type="bibr" rid="B24">Kwon et al., 2021</xref>). When comparing survival probabilities between the <italic>C. albicans</italic> and NAC groups, the NAC group showed a lower survival probability and a 1.5-fold higher mortality risk. The finding of a high mortality risk in the NAC group aligns with previous results reported by other researchers. This higher mortality risk associated with NAC may be attributed to their antifungal resistance mechanisms, particularly against azole drugs, and delays in initiating appropriate empirical therapies (<xref ref-type="bibr" rid="B5">Chastain et al., 2024</xref>; <xref ref-type="bibr" rid="B17">Hoenigl et al., 2024</xref>).</p>
<p>The increasing prevalence of azole-resistant non-albicans <italic>Candida</italic> species in our oncology patients highlights the need to reconsider empirical antifungal therapy, favoring agents such as amphotericin B and echinocandins, which have shown higher susceptibility. This aligns with IDSA guidelines, which recommend echinocandins as first-line treatment in high-resistance settings (<xref ref-type="bibr" rid="B34">Pappas et al., 2015</xref>). Incorporating local resistance data into antifungal stewardship programs can promote targeted, timely therapy, reduce unnecessary azole use, and prevent the development of further resistance. Stewardship efforts, including ongoing surveillance, clinician education, and region-specific treatment protocols, are crucial in oncology care to optimize antifungal use, enhance patient outcomes, and preserve drug efficacy (<xref ref-type="bibr" rid="B15">Fisher et al., 2022</xref>).</p>
<p>The limitations of the present study include its retrospective nature, single-center design, and the unavailability of isolates for molecular analysis, such as genotyping and detection of resistance mechanisms, including ERG11 and FKS mutations. Additionally, clearly distinguishing between colonization and invasive candidiasis was impossible due to the absence of some clinical details, such as radiological and biomarker data. These factors may limit the external validity of the findings, though they remain clinically relevant within similar hospital settings. Nevertheless, we included all culture-positive cases in which physicians had a clinical suspicion of fungal infection, reflecting real-world diagnostic practices. Despite these limitations, our study remains distinctive in providing a thorough evaluation of <italic>Candida</italic> cases among cancer patients, a dataset that is rarely available. The findings from this work are expected to aid healthcare professionals in more effectively managing <italic>Candida</italic> infections in similar clinical settings.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>This study retrospectively analyzed the species distribution, risk factors, and antifungal susceptibility patterns of <italic>Candida</italic> isolates among cancer patients in Jiangxi, China. While <italic>C. albicans</italic> remained the predominant species, a year-wise trend indicated a declining proportion of <italic>C. albicans</italic> and a rising incidence of NAC. Caspofungin consumption showed a negative correlation with <italic>C. albicans</italic> and positive correlations with <italic>N. glabrata</italic> and <italic>C. tropicalis</italic> distribution. A higher proportion of <italic>C. albicans</italic> isolates were recovered from lung and nasopharyngeal cancers, whereas NAC species were more frequently associated with gastric, colon, and urogenital cancers. Inappropriate empirical therapy, hypoproteinemia, anemia, and the use of indwelling catheters were identified as independent risk factors for NAC infections. In contrast, radiotherapy, targeted therapy, and glucocorticoid use were significantly associated with <italic>C. albicans</italic>. The NAC group exhibited a 1.5-fold higher mortality risk than the <italic>C. albicans</italic> group. Amphotericin B and echinocandins demonstrated good activity against Candida species, whereas lower susceptibility rates to azole drugs were observed, particularly among NAC isolates. Future large-scale, multicenter molecular studies are warranted to investigate emerging azole resistance mechanisms in NAC species.</p>
</sec>
</body>
<back>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Human Research Ethics Committee of the Jiangxi Cancer Hospital and Institute. The studies were conducted in accordance with the local legislation and institutional requirements. The human samples used in this study were acquired from a by- product of routine care or industry. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>HB: Conceptualization, Writing &#x2013; review &#x0026; editing, Methodology, Writing &#x2013; original draft, Visualization, Software, Investigation. XL: Validation, Data curation, Writing &#x2013; review &#x0026; editing. XW: Methodology, Resources, Writing &#x2013; review &#x0026; editing. MK: Writing &#x2013; review &#x0026; editing, Software. MS: Writing &#x2013; review &#x0026; editing, Formal Analysis. JY: Data curation, Writing &#x2013; review &#x0026; editing, Resources. HQ: Writing &#x2013; review &#x0026; editing, Visualization. Q-LL: Project administration, Conceptualization, Writing &#x2013; review &#x0026; editing, Funding acquisition. BX: Funding acquisition, Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Science and Technology Research Project of Jiangxi Provincial Department of Education (GJJ2403604) and (GJJ2203508), Research Start-Up Fund of Jiangxi Cancer Hospital (BSQDJ2024001), The Distinguished Young Scholars Program of the Natural Science Foundation of Jiangxi Province (20224ACB216015), The Distinguished Young Scholars Fund of Jiangxi Cancer Hospital (2021DYS01), and 2023 Key Project for Science and Technology Innovation of Jiangxi Provincial Health Commission (2023ZD005).</p>
</sec>
<ack><p>We are thankful to the Jiangxi Cancer Hospital for supporting this study.</p>
</ack>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="S12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="S13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2025.1630226/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2025.1630226/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn id="footnote1">
<label>1</label>
<p><ext-link ext-link-type="uri" xlink:href="https://atcddd.fhi.no/">https://atcddd.fhi.no/</ext-link></p></fn>
<fn id="footnote2">
<label>2</label>
<p><ext-link ext-link-type="uri" xlink:href="https://www.eucast.org/astoffungi/clinicalbreakpointsforantifungals">https://www.eucast.org/astoffungi/clinicalbreakpointsforantifungals</ext-link></p></fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alenazy</surname> <given-names>H.</given-names></name> <name><surname>Alghamdi</surname> <given-names>A.</given-names></name> <name><surname>Pinto</surname> <given-names>R.</given-names></name> <name><surname>Daneman</surname> <given-names>N.</given-names></name></person-group> (<year>2021</year>). <article-title><italic>Candida</italic> colonization as a predictor of invasive candidiasis in non-neutropenic icu patients with sepsis: A systematic review and meta-analysis.</article-title> <source><italic>Int. J. Infect. Dis.</italic></source> <volume>102</volume> <fpage>357</fpage>&#x2013;<lpage>362</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijid.2020.10.092</pub-id> <pub-id pub-id-type="pmid">33157294</pub-id></citation></ref>
<ref id="B2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bhumitrakul</surname> <given-names>J.</given-names></name> <name><surname>Lam-Ubol</surname> <given-names>A.</given-names></name> <name><surname>Matangkasombut</surname> <given-names>O.</given-names></name></person-group> (<year>2024</year>). <article-title>Oral <italic>Candida</italic> in post-radiotherapy patients with xerostomia/hyposalivation: A narrative review.</article-title> <source><italic>Oral Dis.</italic></source> <pub-id pub-id-type="doi">10.1111/odi.15060</pub-id> <comment>[Epub ahead of print]</comment>. <pub-id pub-id-type="pmid">38946209</pub-id></citation></ref>
<ref id="B3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bilal</surname> <given-names>H.</given-names></name> <name><surname>Muhammad</surname> <given-names>S.</given-names></name> <name><surname>Bing</surname> <given-names>H.</given-names></name> <name><surname>Rehmat</surname> <given-names>I.</given-names></name> <name><surname>Nadeem</surname> <given-names>K. M.</given-names></name> <name><surname>Ullah</surname> <given-names>K. R.</given-names></name><etal/></person-group> (<year>2022</year>). <article-title>Distribution and antifungal susceptibility pattern of <italic>Candida species</italic> from mainland China: A systematic analysis.</article-title> <source><italic>Virulence</italic></source> <volume>13</volume> <fpage>1573</fpage>&#x2013;<lpage>1589</lpage>. <pub-id pub-id-type="doi">10.1080/21505594.2022.2123325</pub-id> <pub-id pub-id-type="pmid">36120738</pub-id></citation></ref>
<ref id="B4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bilal</surname> <given-names>H.</given-names></name> <name><surname>Zhang</surname> <given-names>D.</given-names></name> <name><surname>Shafiq</surname> <given-names>M.</given-names></name> <name><surname>Khan</surname> <given-names>M. N.</given-names></name> <name><surname>Chen</surname> <given-names>C.</given-names></name> <name><surname>Khan</surname> <given-names>S.</given-names></name><etal/></person-group> (<year>2023</year>). <article-title>Six-Year retrospective analysis of epidemiology, risk factors, and antifungal susceptibilities of candidiasis from a tertiary care hospital in South China.</article-title> <source><italic>Microbiol. Spect.</italic></source> <volume>11</volume>:<fpage>e0070823</fpage>. <pub-id pub-id-type="doi">10.1128/spectrum.00708-23</pub-id> <pub-id pub-id-type="pmid">37310269</pub-id></citation></ref>
<ref id="B5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chastain</surname> <given-names>D. B.</given-names></name> <name><surname>White</surname> <given-names>B. P.</given-names></name> <name><surname>Tu</surname> <given-names>P. J.</given-names></name> <name><surname>Chan</surname> <given-names>S.</given-names></name> <name><surname>Jackson</surname> <given-names>B. T.</given-names></name> <name><surname>Kubbs</surname> <given-names>K. A.</given-names></name><etal/></person-group> (<year>2024</year>). <article-title>Candidemia in adult patients in the ICU: A reappraisal of susceptibility testing and antifungal therapy.</article-title> <source><italic>Ann. Pharmacotherapy</italic></source> <volume>58</volume> <fpage>305</fpage>&#x2013;<lpage>321</lpage>. <pub-id pub-id-type="doi">10.1177/10600280231175201</pub-id> <pub-id pub-id-type="pmid">37272474</pub-id></citation></ref>
<ref id="B6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cinti</surname> <given-names>J.</given-names></name> <name><surname>Gomez</surname> <given-names>P.</given-names></name> <name><surname>Agrawal</surname> <given-names>S.</given-names></name></person-group> (<year>2024</year>). <article-title>Community-Acquired <italic>Candida albicans</italic> empyema leading to tension physiology: A case report.</article-title> <source><italic>Clin. Pract. Cases Emerg. Med.</italic></source> <volume>8</volume> <fpage>273</fpage>&#x2013;<lpage>276</lpage>. <pub-id pub-id-type="doi">10.5811/cpcem.19426</pub-id> <pub-id pub-id-type="pmid">39158248</pub-id></citation></ref>
<ref id="B7"><citation citation-type="journal"><collab>CLSI</collab> (<year>2022</year>). <source><italic>Epidemiological cutoff values for antifungal susceptibility testing</italic></source>, <edition>4th Edn</edition>. <publisher-loc>Wayne, PA</publisher-loc>: <publisher-name>Clinical and Laboratory Standards Institute</publisher-name>. CLSI supplement M57S.</citation></ref>
<ref id="B8"><citation citation-type="journal"><collab>CLSI</collab> (<year>2024</year>). <source><italic>Performance standards for antifungal susceptibility testing of yeasts</italic></source>, <edition>2nd Edn</edition>. <publisher-loc>Wayne, PA</publisher-loc>: <publisher-name>Clinical and Laboratory Standards Institute</publisher-name>. CLSI Supplement, M60.</citation></ref>
<ref id="B9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Czajka</surname> <given-names>K. M.</given-names></name> <name><surname>Venkataraman</surname> <given-names>K.</given-names></name> <name><surname>Brabant-Kirwan</surname> <given-names>D.</given-names></name> <name><surname>Santi</surname> <given-names>S. A.</given-names></name> <name><surname>Verschoor</surname> <given-names>C.</given-names></name> <name><surname>Appanna</surname> <given-names>V. D.</given-names></name><etal/></person-group> (<year>2023</year>). <article-title>Molecular mechanisms associated with antifungal resistance in pathogenic <italic>Candida species</italic>.</article-title> <source><italic>Cells</italic></source> <volume>12</volume>:<fpage>2655</fpage>. <pub-id pub-id-type="doi">10.3390/cells12222655</pub-id> <pub-id pub-id-type="pmid">37998390</pub-id></citation></ref>
<ref id="B10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dai</surname> <given-names>Z.</given-names></name> <name><surname>Lan</surname> <given-names>X.</given-names></name> <name><surname>Cai</surname> <given-names>M.</given-names></name> <name><surname>Liao</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>J.</given-names></name> <name><surname>Ye</surname> <given-names>N.</given-names></name><etal/></person-group> (<year>2025</year>). <article-title>Nineteen years retrospective analysis of epidemiology, antifungal resistance and a nomogram model for 30-Day mortality in nosocomial candidemia patients.</article-title> <source><italic>Front. Cell. Infect. Microbiol.</italic></source> <volume>15</volume>:<fpage>1504866</fpage>. <pub-id pub-id-type="doi">10.3389/fcimb.2025.1504866</pub-id> <pub-id pub-id-type="pmid">39963405</pub-id></citation></ref>
<ref id="B11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dawoud</surname> <given-names>A. M.</given-names></name> <name><surname>Saied</surname> <given-names>S. A.</given-names></name> <name><surname>Torayah</surname> <given-names>M. M.</given-names></name> <name><surname>Ramadan</surname> <given-names>A. E.</given-names></name> <name><surname>Elaskary</surname> <given-names>S. A.</given-names></name></person-group> (<year>2024</year>). <article-title>Antifungal susceptibility and virulence determinants profile of <italic>Candida species</italic> isolated from patients with candidemia.</article-title> <source><italic>Sci. Rep.</italic></source> <volume>14</volume>:<fpage>11597</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-024-61813-w</pub-id> <pub-id pub-id-type="pmid">38773138</pub-id></citation></ref>
<ref id="B12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Debta</surname> <given-names>P.</given-names></name> <name><surname>Swain</surname> <given-names>S. K.</given-names></name> <name><surname>Sahu</surname> <given-names>M. C.</given-names></name> <name><surname>Abuderman</surname> <given-names>A. A.</given-names></name> <name><surname>Alzahrani</surname> <given-names>K. J.</given-names></name> <name><surname>Banjer</surname> <given-names>H. J.</given-names></name><etal/></person-group> (<year>2022</year>). <article-title>Evaluation of candidiasis in upper-aerodigestive squamous cell carcinoma patients&#x2014;a clinico-mycological aspect.</article-title> <source><italic>Int. J. Environ. Res. Public Health</italic></source> <volume>19</volume>:<fpage>8510</fpage>. <pub-id pub-id-type="doi">10.3390/ijerph19148510</pub-id> <pub-id pub-id-type="pmid">35886361</pub-id></citation></ref>
<ref id="B13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>ElFeky</surname> <given-names>D. S.</given-names></name> <name><surname>El-Wakil</surname> <given-names>D. M.</given-names></name> <name><surname>Mwafy</surname> <given-names>M. M.</given-names></name> <name><surname>Atia</surname> <given-names>M. M. A.</given-names></name> <name><surname>Gohar</surname> <given-names>N. M.</given-names></name></person-group> (<year>2025</year>). <article-title>Comparative evaluation of antifungal susceptibility testing methods of invasive <italic>Candida species</italic> and detection of fks genes mutations in caspofungin intermediate and resistant isolates.</article-title> <source><italic>BMC Infect. Dis.</italic></source> <volume>25</volume>:<fpage>114</fpage>. <pub-id pub-id-type="doi">10.1186/s12879-024-10435-8</pub-id> <pub-id pub-id-type="pmid">39856577</pub-id></citation></ref>
<ref id="B14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Feng</surname> <given-names>Z.</given-names></name> <name><surname>Lu</surname> <given-names>H.</given-names></name> <name><surname>Jiang</surname> <given-names>Y.</given-names></name></person-group> (<year>2024</year>). <article-title>Promising immunotherapeutic targets for treating candidiasis.</article-title> <source><italic>Front. Cell. Infect. Microbiol.</italic></source> <volume>14</volume>:<fpage>1339501</fpage>. <pub-id pub-id-type="doi">10.3389/fcimb.2024.1339501</pub-id> <pub-id pub-id-type="pmid">38404288</pub-id></citation></ref>
<ref id="B15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fisher</surname> <given-names>M. C.</given-names></name> <name><surname>Alastruey-Izquierdo</surname> <given-names>A.</given-names></name> <name><surname>Berman</surname> <given-names>J.</given-names></name> <name><surname>Bicanic</surname> <given-names>T.</given-names></name> <name><surname>Bignell</surname> <given-names>E. M.</given-names></name> <name><surname>Bowyer</surname> <given-names>P.</given-names></name><etal/></person-group> (<year>2022</year>). <article-title>Tackling the emerging threat of antifungal resistance to human health.</article-title> <source><italic>Nat. Rev. Microbiol.</italic></source> <volume>20</volume> <fpage>557</fpage>&#x2013;<lpage>571</lpage>. <pub-id pub-id-type="doi">10.1038/s41579-022-00720-1</pub-id> <pub-id pub-id-type="pmid">35352028</pub-id></citation></ref>
<ref id="B16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Franconi</surname> <given-names>I.</given-names></name> <name><surname>Rizzato</surname> <given-names>C.</given-names></name> <name><surname>Tavanti</surname> <given-names>A.</given-names></name> <name><surname>Falcone</surname> <given-names>M.</given-names></name> <name><surname>Lupetti</surname> <given-names>A.</given-names></name></person-group> (<year>2023</year>). <article-title>Paradigm shift: <italic>Candida parapsilosis</italic> sensu stricto as the most prevalent <italic>Candida species</italic> isolated from bloodstream infections with increasing azole-non-susceptibility rates: Trends from 2015&#x2013;2022 Survey.</article-title> <source><italic>J. Fungi</italic></source> <volume>9</volume>:<fpage>1012</fpage>. <pub-id pub-id-type="doi">10.3390/jof9101012</pub-id> <pub-id pub-id-type="pmid">37888268</pub-id></citation></ref>
<ref id="B17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hoenigl</surname> <given-names>M.</given-names></name> <name><surname>Arastehfar</surname> <given-names>A.</given-names></name> <name><surname>Arendrup</surname> <given-names>M. C.</given-names></name> <name><surname>Br&#x00FC;ggemann</surname> <given-names>R.</given-names></name> <name><surname>Carvalho</surname> <given-names>A.</given-names></name> <name><surname>Chiller</surname> <given-names>T.</given-names></name><etal/></person-group> (<year>2024</year>). <article-title>Novel antifungals and treatment approaches to tackle resistance and improve outcomes of invasive fungal disease.</article-title> <source><italic>Clin. Microbiol. Rev.</italic></source> <volume>37</volume>:<fpage>e0007423</fpage>. <pub-id pub-id-type="doi">10.1128/cmr.00074-23</pub-id> <pub-id pub-id-type="pmid">38602408</pub-id></citation></ref>
<ref id="B18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>X.</given-names></name> <name><surname>Dong</surname> <given-names>Q.</given-names></name> <name><surname>Zhou</surname> <given-names>Q.</given-names></name> <name><surname>Fang</surname> <given-names>S.</given-names></name> <name><surname>Xu</surname> <given-names>Y.</given-names></name> <name><surname>Long</surname> <given-names>H.</given-names></name><etal/></person-group> (<year>2025</year>). <article-title>Genomics insights of candidiasis: Mechanisms of pathogenicity and drug resistance.</article-title> <source><italic>Front. Microbiol.</italic></source> <volume>16</volume>:<fpage>1531543</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2025.1531543</pub-id> <pub-id pub-id-type="pmid">40083780</pub-id></citation></ref>
<ref id="B19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jamiu</surname> <given-names>A. T.</given-names></name> <name><surname>Albertyn</surname> <given-names>J.</given-names></name> <name><surname>Sebolai</surname> <given-names>O. M.</given-names></name> <name><surname>Pohl</surname> <given-names>C. H.</given-names></name></person-group> (<year>2020</year>). <article-title>Update on <italic>Candida krusei</italic>, a potential multidrug-resistant pathogen.</article-title> <source><italic>Med. Mycol.</italic></source> <volume>59</volume> <fpage>14</fpage>&#x2013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.1093/mmy/myaa031</pub-id> <pub-id pub-id-type="pmid">32400853</pub-id></citation></ref>
<ref id="B20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>J&#x00F8;rgensen</surname> <given-names>M. R.</given-names></name></person-group> (<year>2024</year>). <article-title>Pathophysiological microenvironments in oral candidiasis.</article-title> <source><italic>APMIS</italic></source> <volume>132</volume> <fpage>956</fpage>&#x2013;<lpage>973</lpage>. <pub-id pub-id-type="doi">10.1111/apm.13412</pub-id> <pub-id pub-id-type="pmid">38571459</pub-id></citation></ref>
<ref id="B21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Katsipoulaki</surname> <given-names>M.</given-names></name> <name><surname>Stappers</surname> <given-names>M. H. T.</given-names></name> <name><surname>Malavia-Jones</surname> <given-names>D.</given-names></name> <name><surname>Brunke</surname> <given-names>S.</given-names></name> <name><surname>Hube</surname> <given-names>B.</given-names></name> <name><surname>Gow</surname> <given-names>N. A. R.</given-names></name></person-group> (<year>2024</year>). <article-title><italic>Candida albicans</italic> and <italic>Candida glabrata</italic>: Global priority pathogens.</article-title> <source><italic>Microbiol. Mol. Biol. Rev.</italic></source> <volume>88</volume>:<fpage>e0002123</fpage>. <pub-id pub-id-type="doi">10.1128/mmbr.00021-23</pub-id> <pub-id pub-id-type="pmid">38832801</pub-id></citation></ref>
<ref id="B22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Keighley</surname> <given-names>C.</given-names></name> <name><surname>Cooley</surname> <given-names>L.</given-names></name> <name><surname>Morris</surname> <given-names>A. J.</given-names></name> <name><surname>Ritchie</surname> <given-names>D.</given-names></name> <name><surname>Clark</surname> <given-names>J. E.</given-names></name> <name><surname>Boan</surname> <given-names>P.</given-names></name><etal/></person-group> (<year>2021</year>). <article-title>Consensus guidelines for the diagnosis and management of invasive <italic>Candidiasis</italic> in haematology, oncology and intensive care settings, 2021.</article-title> <source><italic>Int. Med. J.</italic></source> <volume>51</volume> <fpage>89</fpage>&#x2013;<lpage>117</lpage>. <pub-id pub-id-type="doi">10.1111/imj.15589</pub-id> <pub-id pub-id-type="pmid">34937142</pub-id></citation></ref>
<ref id="B23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Khan</surname> <given-names>S.</given-names></name> <name><surname>Cai</surname> <given-names>L.</given-names></name> <name><surname>Bilal</surname> <given-names>H.</given-names></name> <name><surname>Khan</surname> <given-names>M. N.</given-names></name> <name><surname>Fang</surname> <given-names>W.</given-names></name> <name><surname>Zhang</surname> <given-names>D.</given-names></name><etal/></person-group> (<year>2025</year>). <article-title>An 11-Year retrospective analysis of <italic>Candidiasis</italic> epidemiology, risk factors, and antifungal susceptibility in a tertiary care hospital in China.</article-title> <source><italic>Sci. Rep.</italic></source> <volume>15</volume>:<fpage>7240</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-025-92100-x</pub-id> <pub-id pub-id-type="pmid">40021727</pub-id></citation></ref>
<ref id="B24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kwon</surname> <given-names>Y. J.</given-names></name> <name><surname>Won</surname> <given-names>E. J.</given-names></name> <name><surname>Jeong</surname> <given-names>S. H.</given-names></name> <name><surname>Shin</surname> <given-names>K. S.</given-names></name> <name><surname>Shin</surname> <given-names>J. H.</given-names></name> <name><surname>Kim</surname> <given-names>Y. R.</given-names></name><etal/></person-group> (<year>2021</year>). <article-title>Dynamics and predictors of mortality due to candidemia caused by different <italic>Candida species</italic>: Comparison of intensive care unit-associated candidemia (Icuac) and non-icuac.</article-title> <source><italic>J. Fungi</italic></source> <volume>7</volume>:<fpage>597</fpage>. . <pub-id pub-id-type="doi">10.3390/jof7080597</pub-id> <pub-id pub-id-type="pmid">34436136</pub-id></citation></ref>
<ref id="B25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lass-Fl&#x00F6;rl</surname> <given-names>C.</given-names></name> <name><surname>Kanj</surname> <given-names>S. S.</given-names></name> <name><surname>Govender</surname> <given-names>N. P.</given-names></name> <name><surname>Thompson</surname> <given-names>G. R.</given-names></name> <name><surname>Ostrosky- Zeichner</surname> <given-names>L.</given-names></name> <name><surname>Govrins</surname> <given-names>M. A.</given-names></name></person-group> (<year>2024</year>). <article-title>Invasive <italic>Candidiasis</italic>.</article-title> <source><italic>Nat. Rev. Dis. Prim.</italic></source> <volume>10</volume>:<fpage>20</fpage>. <pub-id pub-id-type="doi">10.1038/s41572-024-00503-3</pub-id> <pub-id pub-id-type="pmid">38514673</pub-id></citation></ref>
<ref id="B26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>Y.</given-names></name> <name><surname>Robbins</surname> <given-names>N.</given-names></name> <name><surname>Cowen</surname> <given-names>L. E.</given-names></name></person-group> (<year>2023</year>). <article-title>Molecular mechanisms governing antifungal drug resistance.</article-title> <source><italic>NPJ Antimicrob. Resis.</italic></source> <volume>1</volume>:<fpage>5</fpage>. <pub-id pub-id-type="doi">10.1038/s44259-023-00007-2</pub-id> <pub-id pub-id-type="pmid">38686214</pub-id></citation></ref>
<ref id="B27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>X.</given-names></name> <name><surname>Shi</surname> <given-names>F.</given-names></name> <name><surname>Zeng</surname> <given-names>J.</given-names></name> <name><surname>Bi</surname> <given-names>J.</given-names></name> <name><surname>Mo</surname> <given-names>C.</given-names></name> <name><surname>Chai</surname> <given-names>Y.</given-names></name><etal/></person-group> (<year>2025</year>). <article-title>Oral microbiota and respiratory diseases: Advances and perspectives.</article-title> <source><italic>Clin. Microbiol. Rev.</italic></source> <volume>38</volume>:<fpage>e0015024</fpage>. <pub-id pub-id-type="doi">10.1128/cmr.00150-24</pub-id> <pub-id pub-id-type="pmid">40172191</pub-id></citation></ref>
<ref id="B28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lucaciu</surname> <given-names>S.-R.</given-names></name> <name><surname>Domokos</surname> <given-names>B.</given-names></name> <name><surname>Puiu</surname> <given-names>R.</given-names></name> <name><surname>Ruta</surname> <given-names>V.</given-names></name> <name><surname>Motoc</surname> <given-names>S. N.</given-names></name> <name><surname>Rajnoveanu</surname> <given-names>R.</given-names></name><etal/></person-group> (<year>2024</year>). <article-title>Lung microbiome in lung cancer: A systematic review.</article-title> <source><italic>Microorganisms</italic></source> <volume>12</volume>:<fpage>2439</fpage>. <pub-id pub-id-type="doi">10.3390/microorganisms12122439</pub-id> <pub-id pub-id-type="pmid">39770642</pub-id></citation></ref>
<ref id="B29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Meneghello</surname> <given-names>S.</given-names></name> <name><surname>Bernab&#x00E8;</surname> <given-names>G.</given-names></name> <name><surname>Di Pietra</surname> <given-names>G.</given-names></name> <name><surname>Di Sopra</surname> <given-names>S.</given-names></name> <name><surname>Del Vecchio</surname> <given-names>C.</given-names></name> <name><surname>Cattelan</surname> <given-names>A. M.</given-names></name><etal/></person-group> (<year>2024</year>). <article-title>Prevalence, species distribution and resistance of candidemia in pediatric and adult patients in a Northeast italy university hospital.</article-title> <source><italic>J. Fungi</italic></source> <volume>10</volume>:<fpage>707</fpage>. <pub-id pub-id-type="doi">10.3390/jof10100707</pub-id> <pub-id pub-id-type="pmid">39452659</pub-id></citation></ref>
<ref id="B30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nagar</surname> <given-names>T.</given-names></name> <name><surname>Ramakrishna</surname> <given-names>J. M.</given-names></name> <name><surname>Reddy</surname> <given-names>T.</given-names></name> <name><surname>Turk</surname> <given-names>I.</given-names></name></person-group> (<year>2023</year>). <article-title>Invasive pulmonary candidiasis in a patient requiring chronic total parenteral nutrition.</article-title> <source><italic>ACG Case Rep. J.</italic></source> <volume>10</volume>:<fpage>e01138</fpage>. <pub-id pub-id-type="doi">10.14309/crj.0000000000001138</pub-id></citation></ref>
<ref id="B31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ngamchokwathana</surname> <given-names>C.</given-names></name> <name><surname>Chongtrakool</surname> <given-names>P.</given-names></name> <name><surname>Waesamaae</surname> <given-names>A.</given-names></name> <name><surname>Chayakulkeeree</surname> <given-names>M.</given-names></name></person-group> (<year>2021</year>). <article-title>Risk factors and outcomes of non-albicans <italic>Candida bloodstream</italic> infection in patients with candidemia at siriraj hospital&#x2014;Thailand&#x2019;s largest national tertiary referral hospital.</article-title> <source><italic>J. Fungi</italic></source> <volume>7</volume>:<fpage>269</fpage>. <pub-id pub-id-type="doi">10.3390/jof7040269</pub-id> <pub-id pub-id-type="pmid">33916156</pub-id></citation></ref>
<ref id="B32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nguyen</surname> <given-names>T. A.</given-names></name> <name><surname>Kim</surname> <given-names>H. Y.</given-names></name> <name><surname>Stocker</surname> <given-names>S.</given-names></name> <name><surname>Kidd</surname> <given-names>S.</given-names></name> <name><surname>Alastruey-Izquierdo</surname> <given-names>A.</given-names></name> <name><surname>Dao</surname> <given-names>A.</given-names></name><etal/></person-group> (<year>2024</year>). <article-title>Pichia kudriavzevii (<italic>Candida krusei</italic>): A systematic review to inform the world health organisation priority list of fungal pathogens.</article-title> <source><italic>Med. Mycol.</italic></source> <volume>62</volume>:<fpage>myad132</fpage>. <pub-id pub-id-type="doi">10.1093/mmy/myad132</pub-id> <pub-id pub-id-type="pmid">38935911</pub-id></citation></ref>
<ref id="B33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pappas</surname> <given-names>P. G.</given-names></name> <name><surname>Kauffman</surname> <given-names>C. A.</given-names></name> <name><surname>Andes</surname> <given-names>D.</given-names></name> <name><surname>Benjamin</surname> <given-names>D. K.</given-names> <suffix>Jr.</suffix></name> <name><surname>Calandra</surname> <given-names>T. F.</given-names></name> <name><surname>Edwards</surname> <given-names>J. E.</given-names> <suffix>Jr.</suffix></name><etal/></person-group> (<year>2009</year>). <article-title>Clinical practice guidelines for the management Candidiasis: 2009 update by the infectious diseases society of America.</article-title> <source><italic>Clin. Infect. Dis.</italic></source> <volume>48</volume> <fpage>503</fpage>&#x2013;<lpage>535</lpage>. <pub-id pub-id-type="doi">10.1086/596757</pub-id> <pub-id pub-id-type="pmid">19191635</pub-id></citation></ref>
<ref id="B34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pappas</surname> <given-names>P. G.</given-names></name> <name><surname>Kauffman</surname> <given-names>C. A.</given-names></name> <name><surname>Andes</surname> <given-names>D. R.</given-names></name> <name><surname>Clancy</surname> <given-names>C. J.</given-names></name> <name><surname>Marr</surname> <given-names>K. A.</given-names></name> <name><surname>Ostrosky-Zeichner</surname> <given-names>L.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Clinical practice guideline for the management of <italic>Candidiasis</italic>: 2016 update by the infectious diseases society of America.</article-title> <source><italic>Clin. Infect. Dis.</italic></source> <volume>62</volume> <fpage>e1</fpage>&#x2013;<lpage>e50</lpage>. <pub-id pub-id-type="doi">10.1093/cid/civ933</pub-id> <pub-id pub-id-type="pmid">26679628</pub-id></citation></ref>
<ref id="B35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pasman</surname> <given-names>R.</given-names></name> <name><surname>Krom</surname> <given-names>B. P.</given-names></name> <name><surname>Zaat</surname> <given-names>S. A. J.</given-names></name> <name><surname>Brul</surname> <given-names>S.</given-names></name></person-group> (<year>2022</year>). <article-title>The role of the oral immune system in oropharyngeal <italic>Candidiasis</italic>-facilitated invasion and dissemination of <italic>Staphylococcus aureus</italic>.</article-title> <source><italic>Front. Oral Health</italic></source> <volume>3</volume>:<fpage>851786</fpage>. <pub-id pub-id-type="doi">10.3389/froh.2022.851786</pub-id> <pub-id pub-id-type="pmid">35464779</pub-id></citation></ref>
<ref id="B36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pfaller</surname> <given-names>M. A.</given-names></name> <name><surname>Espinel-Ingroff</surname> <given-names>A.</given-names></name> <name><surname>Canton</surname> <given-names>E.</given-names></name> <name><surname>Castanheira</surname> <given-names>M.</given-names></name> <name><surname>Cuenca-Estrella</surname> <given-names>M.</given-names></name> <name><surname>Diekema</surname> <given-names>D. J.</given-names></name><etal/></person-group> (<year>2012</year>). <article-title>Wild-Type mic distributions and epidemiological cutoff values for amphotericin b, flucytosine, and itraconazole and <italic>Candida spp</italic>. As determined by CLSI broth microdilution.</article-title> <source><italic>J. Clin. Microbiol.</italic></source> <volume>50</volume> <fpage>2040</fpage>&#x2013;<lpage>2046</lpage>. <pub-id pub-id-type="doi">10.1128/jcm.00248-12</pub-id> <pub-id pub-id-type="pmid">22461672</pub-id></citation></ref>
<ref id="B37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ricotta</surname> <given-names>E. E.</given-names></name> <name><surname>Lai</surname> <given-names>Y. L.</given-names></name> <name><surname>Babiker</surname> <given-names>A.</given-names></name> <name><surname>Strich</surname> <given-names>J. R.</given-names></name> <name><surname>Kadri</surname> <given-names>S. S.</given-names></name> <name><surname>Lionakis</surname> <given-names>M. S.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>Invasive <italic>Candidiasis species</italic> distribution and trends, United States, 2009&#x2013;2017.</article-title> <source><italic>J. Infect. Dis.</italic></source> <volume>223</volume> <fpage>1295</fpage>&#x2013;<lpage>1302</lpage>. <pub-id pub-id-type="doi">10.1093/infdis/jiaa502</pub-id> <pub-id pub-id-type="pmid">32798221</pub-id></citation></ref>
<ref id="B38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sharifi</surname> <given-names>M.</given-names></name> <name><surname>Badiee</surname> <given-names>P.</given-names></name> <name><surname>Abastabar</surname> <given-names>M.</given-names></name> <name><surname>Morovati</surname> <given-names>H.</given-names></name> <name><surname>Haghani</surname> <given-names>I.</given-names></name> <name><surname>Noorbakhsh</surname> <given-names>M.</given-names></name><etal/></person-group> (<year>2023</year>). <article-title>A 3-Year study of <italic>Candida</italic> infections among patients with malignancy: Etiologic agents and antifungal susceptibility profile.</article-title> <source><italic>Front. Cell. Infect. Microbiol.</italic></source> <volume>13</volume>:<fpage>1152552</fpage>. <pub-id pub-id-type="doi">10.3389/fcimb.2023.1152552</pub-id> <pub-id pub-id-type="pmid">37249981</pub-id></citation></ref>
<ref id="B39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shelke</surname> <given-names>A.</given-names></name> <name><surname>Priya</surname> <given-names>P.</given-names></name> <name><surname>Mishra</surname> <given-names>S.</given-names></name> <name><surname>Chauhan</surname> <given-names>R.</given-names></name> <name><surname>Murti</surname> <given-names>K.</given-names></name> <name><surname>Ravichandiran</surname> <given-names>V.</given-names></name><etal/></person-group> (<year>2024</year>). <article-title>Investigation of antimicrobial susceptibility patterns, risk factors and their impact on mortality in Cancer patients at a tertiary care Cancer hospital- a prospective study.</article-title> <source><italic>Ann. Clin. Microbiol. Antimicrob.</italic></source> <volume>23</volume>:<fpage>59</fpage>. <pub-id pub-id-type="doi">10.1186/s12941-024-00703-5</pub-id> <pub-id pub-id-type="pmid">38926734</pub-id></citation></ref>
<ref id="B40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Siqueira</surname> <given-names>A. C.</given-names></name> <name><surname>Bernardi</surname> <given-names>G. A.</given-names></name> <name><surname>Arend</surname> <given-names>L. N. V. S.</given-names></name> <name><surname>Cordeiro</surname> <given-names>G. T.</given-names></name> <name><surname>Rosolen</surname> <given-names>D.</given-names></name> <name><surname>Berti</surname> <given-names>F. C. B.</given-names></name><etal/></person-group> (<year>2025</year>). <article-title>Azole resistance and Erg11 mutation in clinical isolates of <italic>Candida tropicalis</italic>.</article-title> <source><italic>J. Fungi</italic></source> <volume>11</volume>:<fpage>24</fpage>. <pub-id pub-id-type="doi">10.3390/jof11010024</pub-id> <pub-id pub-id-type="pmid">39852443</pub-id></citation></ref>
<ref id="B41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>J.</given-names></name> <name><surname>Song</surname> <given-names>S.</given-names></name> <name><surname>Liu</surname> <given-names>J.</given-names></name> <name><surname>Chen</surname> <given-names>F.</given-names></name> <name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Wu</surname> <given-names>G.</given-names></name></person-group> (<year>2025</year>). <article-title>Gut microbiota as a new target for anticancer therapy: From mechanism to means of regulation.</article-title> <source><italic>NPJ Biofilms Microb.</italic></source> <volume>11</volume>:<fpage>43</fpage>. <pub-id pub-id-type="doi">10.1038/s41522-025-00678-x</pub-id> <pub-id pub-id-type="pmid">40069181</pub-id></citation></ref>
<ref id="B42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ullmann</surname> <given-names>A. J.</given-names></name> <name><surname>Akova</surname> <given-names>M.</given-names></name> <name><surname>Herbrecht</surname> <given-names>R.</given-names></name> <name><surname>Viscoli</surname> <given-names>C.</given-names></name> <name><surname>Arendrup</surname> <given-names>M. C.</given-names></name> <name><surname>Arikan-Akdagli</surname> <given-names>S.</given-names></name><etal/></person-group> (<year>2012</year>). <article-title>Escmid guideline for the diagnosis and management of <italic>Candida</italic> diseases 2012: Adults with haematological malignancies and after haematopoietic stem cell transplantation (Hct).</article-title> <source><italic>Clin. Microbiol. Infect.</italic></source> <volume>18</volume> <fpage>53</fpage>&#x2013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.1111/1469-0691.12041</pub-id> <pub-id pub-id-type="pmid">23137137</pub-id></citation></ref>
<ref id="B43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Fan</surname> <given-names>X.</given-names></name> <name><surname>Wang</surname> <given-names>H.</given-names></name> <name><surname>Kudinha</surname> <given-names>T.</given-names></name> <name><surname>Mei</surname> <given-names>Y.-N.</given-names></name> <name><surname>Ni</surname> <given-names>F.</given-names></name><etal/></person-group> (<year>2021</year>). <article-title>Continual decline in azole susceptibility rates in <italic>Candida tropicalis</italic> over a 9-Year period in China.</article-title> <source><italic>Front. Microbiol.</italic></source> <volume>12</volume>:<fpage>702839</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2021.702839</pub-id> <pub-id pub-id-type="pmid">34305872</pub-id></citation></ref>
<ref id="B44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wijaya</surname> <given-names>M.</given-names></name> <name><surname>Halleyantoro</surname> <given-names>R.</given-names></name> <name><surname>Kalumpiu</surname> <given-names>J. F.</given-names></name></person-group> (<year>2023</year>). <article-title>Biofilm: The invisible culprit in catheter-induced <italic>Candidemia</italic>.</article-title> <source><italic>AIMS Microbiol.</italic></source> <volume>9</volume> <fpage>467</fpage>&#x2013;<lpage>485</lpage>. <pub-id pub-id-type="doi">10.3934/microbiol.2023025</pub-id> <pub-id pub-id-type="pmid">37649801</pub-id></citation></ref>
<ref id="B45"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolfgruber</surname> <given-names>S.</given-names></name> <name><surname>Sedik</surname> <given-names>S.</given-names></name> <name><surname>Klingspor</surname> <given-names>L.</given-names></name> <name><surname>Tortorano</surname> <given-names>A.</given-names></name> <name><surname>Gow</surname> <given-names>N. A. R.</given-names></name> <name><surname>Lagrou</surname> <given-names>K.</given-names></name><etal/></person-group> (<year>2024</year>). <article-title>Insights from three pan-european multicentre studies on invasive <italic>Candida</italic> infections and outlook to ecmm <italic>Candida</italic> IV.</article-title> <source><italic>Mycopathologia</italic></source> <volume>189</volume>:<fpage>70</fpage>. <pub-id pub-id-type="doi">10.1007/s11046-024-00871-0</pub-id> <pub-id pub-id-type="pmid">39088098</pub-id></citation></ref>
<ref id="B46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yamin</surname> <given-names>D. H.</given-names></name> <name><surname>Husin</surname> <given-names>A.</given-names></name> <name><surname>Harun</surname> <given-names>A.</given-names></name></person-group> (<year>2021</year>). <article-title>Risk factors of <italic>Candida parapsilosis</italic> catheter-related bloodstream infection.</article-title> <source><italic>Front. Public Health</italic></source> <volume>9</volume>:<fpage>631865</fpage>. <pub-id pub-id-type="doi">10.3389/fpubh.2021.631865</pub-id> <pub-id pub-id-type="pmid">34458217</pub-id></citation></ref>
<ref id="B47"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>W.</given-names></name> <name><surname>Song</surname> <given-names>X.</given-names></name> <name><surname>Wu</surname> <given-names>H.</given-names></name> <name><surname>Zheng</surname> <given-names>R.</given-names></name></person-group> (<year>2019</year>). <article-title>Epidemiology, risk factors and outcomes of <italic>Candida albicans</italic> Vs. non-albicans <italic>Candidaemia</italic> in adult patients in Northeast China.</article-title> <source><italic>Epidemiol. Infect.</italic></source> <volume>147</volume>:<fpage>e277</fpage>. <pub-id pub-id-type="doi">10.1017/S0950268819001638</pub-id> <pub-id pub-id-type="pmid">31552814</pub-id></citation></ref>
</ref-list>
</back>
</article>