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<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.2025.1531984</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>Seven-year change of prevalence, clinical risk factors, and mortality of patients with carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection in a Chinese teaching hospital: a case-case-control study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Kong</surname> <given-names>Haifang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Yong</given-names></name>
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<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Ling</given-names></name>
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<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Qianqian</given-names></name>
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<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Yanchun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Hu</surname> <given-names>Zhidong</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Feng</surname> <given-names>Xuequan</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Chai</surname> <given-names>Yamin</given-names></name>
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<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Dong</surname> <given-names>Zuoliang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Laboratory Medicine, Tianjin Medical University General Hospital</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Tianjin First Central Hospital of Nankai University</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Maria Fernanda Mojica, Case Western Reserve University, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Anna Majewska, Medical University of Warsaw, Poland</p><p>Elsa De La Cadena, El Bosque University, Colombia</p></fn>
<corresp id="c001">&#x002A;Correspondence: Xuequan Feng, <email>fengxuequan@126.com</email></corresp>
<corresp id="c002">Yamin Chai, <email>chaiyamin181026@tmu.edu.cn</email></corresp>
<corresp id="c003">Zuoliang Dong, <email>dongzl_2006@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1531984</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>03</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Kong, Liu, Yang, Chen, Li, Hu, Feng, Chai and Dong.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Kong, Liu, Yang, Chen, Li, Hu, Feng, Chai and Dong</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>
<p>Carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection (CRKP-BSI) is a major public health threat worldwide. CRKP-BSI is associated with poor outcomes, elevated morbidity and mortality, and high healthcare costs. Therefore, the identification of risk factors for CRKP-BSI and mortality are critical for preventing and controlling CRKP in hospitals. This retrospective case-case-control study was conducted at General Hospital of Tianjin Medical University, a tertiary teaching hospital, from 2017 to 2023. It included 105 patients with CRKP-BSI (case group 1) and matched 105 patients with carbapenem-susceptible <italic>K. pneumoniae</italic> bloodstream infection (CSKP-BSI) (case group 2). The control group was selected at a ratio of 1:1:1 (case group 1: case group 2: control) from patients with a positive blood culture (except for <italic>K. pneumoniae</italic> infection) to analyze risk factors associated with the two case groups and compare the 30-day survival curves using multivariable logistic regression and Kaplan-Meier analyses. Multivariate analysis revealed that liver disease was a risk factor for <italic>K. pneumoniae</italic>-BSI, and exposure to carbapenem [odds ratio (OR) = 3.24], tigecycline (OR = 3.43), and glucocorticoids (OR = 4.64) were independent risk factors for CRKP-BSI. The 30-day mortality of the CRKP-BSI group was 30.5%, and patient groups, respiratory diseases (HR = 3.52), use of 3rd-generation cephalosporins (HR = 1.92), mechanical ventilation (HR = 2.14), and central venous catheter insertion (HR = 2.85) were independent risk factors, whereas a shorter length of hospitalization was a protective factor for 30-day mortality. The in-hospital mortality in the CRKP-BSI group was 55.2%, and arterial catheter use (OR = 3.76) was an independent risk factor for in-hospital mortality. Several factors were identified to contribute to the development of CRKP-BSI. CRKP isolates were resistant to most antibiotics. Reducing CRKP-BSI-related mortality requires comprehensive consideration of underlying diseases, judicious antibiotic use, and invasive procedures. The high morbidity, mortality, along with the limited therapeutic options for CRKP-BSI, underscore the need for improved detection, identification of risk factors to develop effective preventive measures, and development of novel agents with reliable clinical efficacy against CRKP.</p>
</abstract>
<kwd-group>
<kwd>risk factors</kwd>
<kwd>carbapenem resistance</kwd>
<kwd><italic>Klebsiella pneumoniae</italic></kwd>
<kwd>bloodstream infection</kwd>
<kwd>case-case-control study</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="54"/>
<page-count count="14"/>
<word-count count="9361"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Antimicrobials, Resistance and Chemotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>1 Introduction</title>
<p>Carbapenems, a class of broad-spectrum beta-lactam antibiotics, are the primary treatment choice for severe infections caused by multidrug-resistant <italic>Enterobacteriaceae</italic>. Carbapenem-resistant <italic>Klebsiella pneumoniae</italic> (CRKP) was first identified in northeastern USA in the early 2000s (<xref ref-type="bibr" rid="B45">Tzouvelekis et al., 2012</xref>); however, with the increasing use of carbapenems in hospitals, the prevalence of CRKP is increasing worldwide and has constituted a serious threat to public health (<xref ref-type="bibr" rid="B2">Bonomo et al., 2018</xref>; <xref ref-type="bibr" rid="B12">David et al., 2019</xref>; <xref ref-type="bibr" rid="B37">Reyes et al., 2019</xref>). In Europe, the resistance rate to CRKP has been reported to be as high as 39.7% (<xref ref-type="bibr" rid="B12">David et al., 2019</xref>). In Eastern Mediterranean region, <italic>Klebsiella pneumoniae</italic> (<italic>K. pneumoniae</italic>) accounts for over 50% of infections (<xref ref-type="bibr" rid="B36">Prestinaci et al., 2015</xref>). According to data from the China Antimicrobial Surveillance Network (CHINET), the resistance rates of <italic>K. pneumoniae</italic> to imipenem and meropenem have increased steadily from 3 and 2.9% in 2015 to 24.4 and 25% in 2023, respectively (<xref ref-type="bibr" rid="B8">CHINET, 2023</xref>). In 2008, the World Health Organization (WHO) classified CRKP as a critical priority on the global priority list of antimicrobial-resistant bacteria (<xref ref-type="bibr" rid="B43">Tacconelli et al., 2018</xref>). In 2009, the Centers for Disease Control and Prevention (CDC) classified 18 common multidrug-resistant bacteria into three categories, designating CRKP as an urgent threat to human health (<xref ref-type="bibr" rid="B5">CDC., 2019</xref>). The mortality of patients with CRKP bloodstream infection (CRKP-BSI) is significantly high (<xref ref-type="bibr" rid="B51">Xu et al., 2017</xref>; <xref ref-type="bibr" rid="B54">Zhu et al., 2020</xref>), and BSI has become a major global medical burden (<xref ref-type="bibr" rid="B30">Markwart et al., 2020</xref>). The incidence of CRKP-BSI can increase mortality and prolong the length of hospitalization (<xref ref-type="bibr" rid="B39">Schwaber et al., 2008</xref>; <xref ref-type="bibr" rid="B40">Stewardson et al., 2019</xref>), which is an important clinical threat.</p>
<p>Currently, carbapenemase production is the primary mechanism of resistance in CRKP, with carbapenemases classified into class A (represented by KPC), class B (e.g., NDM, VIM, and IMP), and class D (primarily OXA-48). Overexpression of efflux pumps and loss of outer membrane porins also contribute to the development of resistance. <italic>Klebsiella pneumoniae</italic> carbapenemase (KPC) has emerged as the most prevalent carbapenemase in the United States and Europe (<xref ref-type="bibr" rid="B17">Grundmann et al., 2017</xref>; <xref ref-type="bibr" rid="B44">Temkin et al., 2014</xref>), and KPC-2 (64.6%) has become the most common carbapenemase in CRKP in China (<xref ref-type="bibr" rid="B18">Han et al., 2020</xref>). Plasmid-encoded carbapenemases often carry additional genes that confer resistance to other antibiotics, which can easily spread among bacteria, resulting in outbreaks and limited treatment options. Only a few antibiotics, such as tigecycline and polymyxins, remain effective against CRKP. Although novel antibiotics, such as ceftazidime-avibactam, have emerged for the treatment of CRE infections, they remain ineffective against New Delhi metallo-beta-lactamase (NDM)-producing CRKP (<xref ref-type="bibr" rid="B1">Abe et al., 2022</xref>; <xref ref-type="bibr" rid="B7">Chen Y. et al., 2022</xref>). Therefore, understanding the risk factors associated with the causes and outcomes of CRKP-BSI is required to reduce its incidence and initiate appropriate therapies.</p>
<p>Several studies have investigated the risk factors for CRKP infection. However, some of these studies employed a case-control design, comparing a CRKP group with a carbapenem-susceptible <italic>Klebsiella pneumoniae</italic> (CSKP) group. Such a case-control design has an intrinsic flaw as it is based on the &#x201C;replacement scenario&#x201D; assumption, in which each patient is assumed to be infected either by antimicrobial-resistant organisms or antimicrobial-susceptible counterparts; however, the patient may be infected by other pathogens or not infected at all. CSKP infections account for only a small proportion of hospitalized cases, making them unrepresentative (<xref ref-type="bibr" rid="B14">Evans and Harris, 2017</xref>; <xref ref-type="bibr" rid="B19">Harris et al., 2001</xref>; <xref ref-type="bibr" rid="B23">Kaier and Frank, 2013</xref>). Therefore, an improved design is required to further elucidate the risk factors for CRKP infection. In this study, we employed a case-case-control design to evaluate the risk factors for CRKP-BSI, providing a foundation for effective control strategies.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>2 Materials and methods</title>
<sec id="S2.SS1">
<title>2.1 Study design and Patient population</title>
<p>We performed a single-center, 7-year, continuous study of CRKP-BSI strains using specific inclusion and exclusion criteria (<xref ref-type="fig" rid="F1">Figure 1</xref>). A total of 105 clinical CRKP-BSI isolates were collected from Tianjin Medical University General Hospital, a 2,468-bed tertiary-care hospital in China, from January 2017 to December 2023. According to the CDC, BSIs are defined as the isolation of pathogenic organisms from blood culture tests (<xref ref-type="bibr" rid="B3">Calandra and Cohen, 2005</xref>). Only the first CRKP or CSKP isolate from the bloodstream of each patient was included. Nosocomial CRKP, CSKP, or control group infections were defined as isolates obtained &#x2265; 48 hours after hospital admission.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Flowchart of sample selection, comparison, and value. From a total of 1,644 samples, 105 CRKP isolates were selected for further analysis. A matched CSKP group and control group were used to analyze the risk factors for CRKP-BSI and CSKP-BSI, from which the risk factors for KP-BSI were obtained. Risk factors for 30-day mortality in CRKP-BSI were also analyzed. Based on the outcome of hospitalized patients, the 105 CRKP isolates were divided into survivors and death to analyze the risk factors for in-hospital mortality. Abbreviations: CRKP-BSI, carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection; CSKP, carbapenem-susceptible <italic>Klebsiella pneumoniae</italic> bloodstream infection; CDC, Centers for Disease Control and Prevention; NHSN, National Healthcare Safety Network.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1531984-g001.tif"/>
</fig>
<p>The case group included hospitalized patients infected with CRKP-BSI or CSKP-BSI. Inpatients who met any of the following criteria were excluded: (1) patients infected with CRKP-BSI and/or CSKP-BSI before or within 2 days of hospital admission, (2) patients with polymicrobial BSIs, (3) patients with recurrent infections; (4) patients with incomplete medical records, and (5) patients infected without CSKP-BSI at the identical ward and timeframe as the CRKP-BSI cases.</p>
</sec>
<sec id="S2.SS2">
<title>2.2 Case definitions</title>
<p>Based on previous studies (<xref ref-type="bibr" rid="B24">Kaye et al., 2005</xref>; <xref ref-type="bibr" rid="B32">Ng et al., 2014</xref>), we designed the case-case-control study. This study comprised two case-control comparisons, in which inpatients infected with CRKP-BSI and CSKP-BSI were compared to a matched inpatients control group, respectively. The CSKP and control groups were matched to the CRKP group in the same ward as the source population during the same period (within 1 month) as the CRKP group. Patients in the CSKP and control groups were randomly selected when two or more cases were matched.</p>
<p>The CRKP group comprised patients with positive blood cultures, and isolates resistant to any carbapenem (imipenem, meropenem, and ertapenem) were considered resistant.</p>
<p>The CSKP group comprised patients with positive blood cultures and was defined as having <italic>K. pneumoniae</italic> susceptible to meropenem, imipenem, and ertapenem.</p>
<p>The matched control group comprised patients with positive blood cultures who have been confirmed bacteremia (except for <italic>K. pneumoniae</italic> infection). The control group included patients infected with Gram-positive bacteria, Gram-negative bacteria (except <italic>K. pneumoniae</italic>), and fungal bloodstream infections.</p>
</sec>
<sec id="S2.SS3">
<title>2.3 Antimicrobial susceptibility testing</title>
<p>Blood samples were cultured using the Bactec&#x2122; FX 50 systems (Becton Dickinson, Microbiology Systems, Cockeysville, MD, United States). All isolates were identified using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (BioM&#x00E9;rieux, France). Vitek2-compact automated microbiology system (BioM&#x00E9;rieux, France) was used for antimicrobial susceptibility testing. Carbapenem (imipenem and/or meropenem) resistance was confirmed using the Kirby&#x2013;Bauer (K&#x2013;B) method (<xref ref-type="bibr" rid="B9">CLSI, 2023</xref>).The Clinical and Laboratory Standards Institute (CLSI-M100) document was used to interpret the antimicrobial susceptibility testing (<xref ref-type="bibr" rid="B9">CLSI, 2023</xref>). <italic>E. coli</italic> ATCC25922 and <italic>Pseudomonas aeruginosa</italic> ATCC27853 were used as control strains for antimicrobial susceptibility testing.</p>
</sec>
<sec id="S2.SS4">
<title>2.4 Data collection</title>
<p>We reviewed the medical records and collected patient information according to previous studies (<xref ref-type="bibr" rid="B6">Chen J. et al., 2022</xref>; <xref ref-type="bibr" rid="B25">Kong et al., 2024</xref>; <xref ref-type="bibr" rid="B32">Ng et al., 2014</xref>; <xref ref-type="bibr" rid="B34">Palacios-Baena et al., 2021</xref>; <xref ref-type="bibr" rid="B42">Stuever et al., 2022</xref>; <xref ref-type="bibr" rid="B53">Zhang et al., 2021</xref>). The epidemiology and clinical data of patients were collected, including the department, sex, age, age &#x003E; 65 years, underlying diseases (respiratory system, liver, urinary system, circulatory system, digestive system, and central nervous diseases; diabetes mellitus, malignancies); antibiotics (3rd-generation cephalosporins, &#x03B2;-lactam inhibitor compounds, carbapenem, aminoglycosides, quinolones, tigecycline, and macrolides), and glucocorticoids, within 3 months before CRKP-BSI. Surgical history and invasive procedures (mechanical ventilation, central venous catheter, arterial, and urinary catheters, drainage, and gastric tubes), within 1 month before CRKP-BSI; mortality, related to hospitalization (hospital stays prior CRKP isolation, ICU stays within 3 months before a positive blood culture, length of hospital stays). Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA) scores are used to calculate the severity of the disease within 24 h following the onset of BSI.</p>
<p>The clinical outcomes were defined as follows: 30-day mortality (within 30 days of the first positive blood culture), in-hospital mortality (death during hospitalization after the first positive blood culture), and length of hospital stays (duration from admission to hospital-to-hospital discharge).</p>
</sec>
<sec id="S2.SS5">
<title>2.5 Statistical analysis</title>
<p>Non-normally distributed continuous variables are presented as medians with interquartile ranges (IQRs) and were compared using the Mann&#x2013;Whitney U-test. Categorical variables are presented as numbers and percentages, and were compared using the chi-square test or Fisher&#x2019;s exact test. Analysis of variance (ANOVA) was used for comparison among the three groups. Univariate analyses were performed for each variable, and those with a <italic>p</italic> &#x003C; 0.05 were included in a multivariate logistic regression analysis. Statistical significance was set at <italic>p</italic> &#x003C; 0.05, and SPSS 26.0 and GraphPad Prism 10 were used for statistical analyses.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>3 Results</title>
<sec id="S3.SS1">
<title>3.1 Incidence and mortality of CRKP-BSI over the past 7 years</title>
<p>During the 7-year study period, only 105 patients met the inclusion criteria, resulting in 105 episodes of CRKP-BSI included in the analysis. Most patients infected with CRKP-BSI were admitted to the intensive care unit (ICU) (48.6%, 51/105), followed by stays in general medical (38.1%, 40/105) and surgical (13.3%, 14/105) wards. The percentage of <italic>K. pneumoniae</italic> in the blood samples from 2017 to 2023 fluctuated from 12.3 to 15.9% (12.3% in 2017, 10.1% in 2018, 16.3% in 2019, 15.7% in 2020, 14.2% in 2021, 15.3% in 2022, and 15.9% in 2023). The percentages of CRKP-BSI in <italic>K. pneumoniae</italic>-BSI from 2017 to 2023 were 20.5, 14.6, 26.7, 20.3, 30.5, 21.5, and 31.1%, respectively, thus increasing from 20.5 to 31.1% (<xref ref-type="fig" rid="F2">Figure 2A</xref>). In addition, the in-hospital mortality of patients with CRKP-BSI was 55.2%, which was higher than that of patients with CSKP-BSI (55.2 vs. 28.6%, <italic>p</italic> &#x003C; 0.001). The in-hospital mortality of CRKP-BSI and CSKP-BSI increased from 37.5 and 25%, respectively, in 2017 to 69.2 and 42.3% in 023 (<xref ref-type="fig" rid="F2">Figure 2A</xref>). The number and proportion of isolated cases of CRKP-BSI annually are shown in <xref ref-type="fig" rid="F2">Figure 2B</xref>, most of the strains were isolated in 2019 and 2023.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>(A)</bold> Trends in prevalence and mortality of <italic>Klebsiella pneumoniae</italic> bloodstream infections. <bold>(B)</bold> The number (black) and proportion (red) of CRKP-BSI strains isolated over the seven-year study period. KP, <italic>Klebsiella pneumoniae</italic>; CRKP, carbapenem-resistant <italic>Klebsiella pneumoniae</italic>; CSKP, carbapenem-susceptible <italic>Klebsiella pneumoniae</italic>; BSI, bloodstream infection.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1531984-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>3.2 Antimicrobial susceptibility of CRKP-BSI and CSKP-BSI</title>
<p>The antibiotic susceptibility patterns of CRKP-BSI and CSKP-BSI isolates are shown in <xref ref-type="table" rid="T1">Table 1</xref>. All CRKP-BSI isolates were resistant to cefuroxime, and ceftriaxone. The resistance rate of CRKP-BSI isolates to amoxicillin/clavulanic acid, cefoperazone/sulbactam, piperacillin/tazobactam, ceftazidime, cefepime, aztreonam, gentamicin, levofloxacin, ciprofloxacin was higher than 80%, whereas the resistance rate to colistin and tigecycline was low.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>The antibiotic resistance of CRKP-BSI and CSKP-BSI 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;">Antibiotics</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CRKP-BSI (<italic>n</italic> = 105)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CSKP-BSI (<italic>n</italic> = 105)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03C7;<sup>2</sup></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Amoxicillin/clavulanic acid</td>
<td valign="top" align="center">103/105 (98.1%)</td>
<td valign="top" align="center">13/105 (12.4%)</td>
<td valign="top" align="center">156.0</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cefoperazone/sulbactam</td>
<td valign="top" align="center">102/105 (97.1%)</td>
<td valign="top" align="center">7/105 (6.7%)</td>
<td valign="top" align="center">172.2</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Piperacillin/tazobactam</td>
<td valign="top" align="center">104/105 (99.0%)</td>
<td valign="top" align="center">8/105 (7.6%)</td>
<td valign="top" align="center">176.3</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cefuroxime</td>
<td valign="top" align="center">105/105 (100%)</td>
<td valign="top" align="center">32/105 (30.5%)</td>
<td valign="top" align="center">111.9</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Ceftazidime</td>
<td valign="top" align="center">103/105 (98.1%)</td>
<td valign="top" align="center">19/105 (18.1%)</td>
<td valign="top" align="center">138.0</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Ceftriaxone</td>
<td valign="top" align="center">105/105 (100%)</td>
<td valign="top" align="center">29/105 (27.6%)</td>
<td valign="top" align="center">119.1</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cefepime</td>
<td valign="top" align="center">104/105 (99.0%)</td>
<td valign="top" align="center">19/105 (18.1%)</td>
<td valign="top" align="center">141.8</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Aztreonam</td>
<td valign="top" align="center">101/105 (96.2%)</td>
<td valign="top" align="center">19/105 (18.1%)</td>
<td valign="top" align="center">130.7</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Amikacin</td>
<td valign="top" align="center">70/105 (66.7%)</td>
<td valign="top" align="center">1/105 (1.0%)</td>
<td valign="top" align="center">101.3</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Gentamicin</td>
<td valign="top" align="center">92/105 (87.6%)</td>
<td valign="top" align="center">18/105 (17.1%)</td>
<td valign="top" align="center">104.5</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Tobramycin</td>
<td valign="top" align="center">78/105 (74.3%)</td>
<td valign="top" align="center">7/105 (6.7%)</td>
<td valign="top" align="center">99.6</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Ciprofloxacin</td>
<td valign="top" align="center">96/105 (91.4%)</td>
<td valign="top" align="center">33/105 (31.4%)</td>
<td valign="top" align="center">79.8</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Levofloxacin</td>
<td valign="top" align="center">98/105 (93.3%)</td>
<td valign="top" align="center">19/105 (18.1%)</td>
<td valign="top" align="center">120.4</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Trimethoprim/sulfamethoxazole</td>
<td valign="top" align="center">60/105 (57.1%)</td>
<td valign="top" align="center">28/105 (26.7%)</td>
<td valign="top" align="center">20.0</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Colistin</td>
<td valign="top" align="center">1/105 (1.0)</td>
<td valign="top" align="center">0/105 (0.0)</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left">Tigecycline</td>
<td valign="top" align="center">29/105 (27.6)</td>
<td valign="top" align="center">9/105 (8.6)</td>
<td valign="top" align="center">12.9</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>CRKP-BSI, carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection; CSKP-BSI, carbapenem-susceptible <italic>Klebsiella pneumoniae</italic> bloodstream infection.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>3.3 The CRKP-BSI group compared to the control group</title>
<p>Descriptive statistics of the study groups are shown in <xref ref-type="table" rid="T2">Table 2</xref>. Differences among study groups were identified for prior hospital stays (&#x03C7;<sup>2</sup> = 5.35, <italic>p</italic> = 0.005), ICU stays (&#x03C7;<sup>2</sup> = 8.39, <italic>p</italic> &#x003C; 0.001), and length of hospital stays (LOS) (&#x03C7;<sup>2</sup> = 4.65, <italic>p</italic> = 0.01).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Demographic characteristics of 105 patients with CRKP-BSI, 105 patients with CSKP-BSI, and 105 control patients at a large tertiary-care hospital.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CRKP-BSI<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CSKP-BSI<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Control<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03C7;<sup>2</sup>/F</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex, male</td>
<td valign="top" align="center">76 (72.4)</td>
<td valign="top" align="center">67 (63.8)</td>
<td valign="top" align="center">65 (61.9)</td>
<td valign="top" align="center">2.92</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">Age (years), median (IQR)</td>
<td valign="top" align="center">70 (58, 83)</td>
<td valign="top" align="center">68 (52, 80)</td>
<td valign="top" align="center">72 (61, 83)</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left">Age &#x003E; 65</td>
<td valign="top" align="center">65 (61.9)</td>
<td valign="top" align="center">58 (55.2)</td>
<td valign="top" align="center">69 (65.7)</td>
<td valign="top" align="center">2.48</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">APACHE II, median (IQR)</td>
<td valign="top" align="center">23 (21, 34)</td>
<td valign="top" align="center">18 (16, 36)</td>
<td valign="top" align="center">22.5 (18, 25)</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">SOFA, median (IQR)</td>
<td valign="top" align="center">10 (4.5, 11.5)</td>
<td valign="top" align="center">5 (5, 12.5)</td>
<td valign="top" align="center">10.5 (6.5, 11.5)</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">Prior hospital stays, median (IQR)</td>
<td valign="top" align="center">23 (12.5, 43)</td>
<td valign="top" align="center">12 (4, 25.5)</td>
<td valign="top" align="center">12 (4, 25.5)</td>
<td valign="top" align="center">5.35</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">ICU stays, median (IQR)</td>
<td valign="top" align="center">12 (0, 34.5)</td>
<td valign="top" align="center">0 (0, 11.0)</td>
<td valign="top" align="center">0 (0, 15)</td>
<td valign="top" align="center">8.39</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">LOS (days), median (IQR)</td>
<td valign="top" align="center">41 (20, 66)</td>
<td valign="top" align="center">32 (18, 50.5)</td>
<td valign="top" align="center">34 (16, 70)</td>
<td valign="top" align="center">4.65</td>
<td valign="top" align="center">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>For non-normally distributed quantitative data, they were expressed as median (IQR); Qualitative data were expressed as number and percentage [n (%)]. CRKP-BSI, carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection; CSKP-BSI, carbapenem-susceptible <italic>Klebsiella pneumoniae</italic> bloodstream infection; APACHE II: Acute Physiology and Chronic Health Evaluation II; SOFA, Sequential Organ Failure Assessment LOS; length of hospital stays; IQR, interquartile range.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The results of the univariate analyses comparing the clinical characteristics of patients infected with CRKP-BSIs and control patients are listed in <xref ref-type="table" rid="T3">Table 3</xref>. The variables associated with CRKP-BSI were as follows: respiratory diseases (OR = 2.51; 95%CI, 1.34&#x2013;4.70; <italic>p</italic> = 0.004), liver diseases (OR = 1.78; 95%CI, 1.03&#x2013;3.08; <italic>p</italic> = 0.04), and malignancies (OR = 2.07; 95%CI, 1.06&#x2013;4.05; <italic>p</italic> = 0.03); exposure to antibiotics, including 3rd-generation cephalosporins (OR = 1.80; 95%CI, 1.02&#x2013;3.20; <italic>p</italic> = 0.04), &#x03B2;-lactam inhibitor compounds (OR = 2.24; 95%CI, 1.27&#x2013;3.94; <italic>p</italic> = 0.005),carbapenems (OR = 6.93; 95%CI, 3.78&#x2013;12.73; <italic>p</italic> &#x003C; 0.001), quinolones (OR = 2.48; 95%CI, 1.28&#x2013;4.80; <italic>p</italic> = 0.006), tigecycline (OR = 4.00; 95%CI, 2.01&#x2013;7.95; <italic>p</italic> &#x003C; 0.001), glycopeptides (OR = 5.42; 95%CI, 1.16&#x2013;25.38; <italic>p</italic> = 0.02), and glucocorticoids (OR = 3.92; 95%CI, 2.15&#x2013;7.15; <italic>p</italic> &#x003C; 0.001), within 3 months before a positive blood culture; surgical history (OR = 2.51; 95%CI, 1.43&#x2013;4.42; <italic>p</italic> = 0.001) and invasive procedures, including mechanical ventilation (OR = 2.99; 95%CI, 1.71&#x2013;5.25; <italic>p</italic> &#x003C; 0.001), central venous catheter insertion (OR = 3.95; 95%CI, 2.19&#x2013;7.13; <italic>p</italic> &#x003C; 0.001), urinary catheter insertion (OR = 2.50; 95%CI, 1.38&#x2013;4.51; <italic>p</italic> = 0.002), drainage tube insertion (OR = 2.44; 95%CI, 1.24&#x2013;4.79; <italic>p</italic> = 0.009), and gastric tube insertion (OR = 2.10; 95%CI, 1.21&#x2013;3.66; <italic>p</italic> = 0.008), within 1 month before a positive blood culture; prior hospital stays (<italic>p</italic> &#x003C; 0.001), and ICU stays (<italic>p</italic> = 0.005). Multivariate conditional logistic regression analysis indicated that liver diseases (OR = 2.37; 95%CI, 1.21&#x2013;5.00; <italic>p</italic> = 0.02) and exposure to carbapenems (OR = 3.24; 95%CI, 1.51&#x2013;6.95; <italic>p</italic> = 0.003), tigecycline (OR = 3.43; 95%CI, 1.40&#x2013;8.41; <italic>p</italic> = 0.007) and glucocorticoids (OR = 4.64; 95%CI, 2.15&#x2013;10.02; <italic>p</italic> &#x003C; 0.001), within 3 months before a positive blood culture, were independent risk factors for CRKP-BSI (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Univariate analyses of the risk factors for CRKP-BSI compared to the control group (<italic>N</italic> = 105).</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="center" style="color:#ffffff;background-color: #7f8080;">CRKP-BSI<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Control<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03C7;<sup>2</sup>/U</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">OR</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">95%CI</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Demographic characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Sex, male</td>
<td valign="top" align="center">76 (72.4)</td>
<td valign="top" align="center">65 (61.9)</td>
<td valign="top" align="center">2.61</td>
<td valign="top" align="center">1.17</td>
<td valign="top" align="center">(0.97, 1.42)</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Underlying disorder</bold></td>
</tr>
<tr>
<td valign="top" align="left">Respiratory diseases</td>
<td valign="top" align="center">85 (81.0)</td>
<td valign="top" align="center">66 (62.9)</td>
<td valign="top" align="center">8.51</td>
<td valign="top" align="center">2.51</td>
<td valign="top" align="center">(1.34, 4.70)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Liver diseases</td>
<td valign="top" align="center">63 (60.0)</td>
<td valign="top" align="center">48 (45.7)</td>
<td valign="top" align="center">4.30</td>
<td valign="top" align="center">1.78</td>
<td valign="top" align="center">(1.03, 3.08)</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Urinary system diseases</td>
<td valign="top" align="center">55 (52.4)</td>
<td valign="top" align="center">49 (46.7)</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">1.26</td>
<td valign="top" align="center">(0.73, 2.16)</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">Circulatory diseases</td>
<td valign="top" align="center">70 (66.7)</td>
<td valign="top" align="center">78 (74.3)</td>
<td valign="top" align="center">1.47</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">(0.38, 1.26)</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">Central nervous diseases</td>
<td valign="top" align="center">38 (36.2)</td>
<td valign="top" align="center">37 (35.2)</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.59, 1.83)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">Digestive system diseases</td>
<td valign="top" align="center">31 (29.5)</td>
<td valign="top" align="center">22 (21.0)</td>
<td valign="top" align="center">2.04</td>
<td valign="top" align="center">1.58</td>
<td valign="top" align="center">(0.84, 2.97)</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">30 (28.6)</td>
<td valign="top" align="center">37 (35.2)</td>
<td valign="top" align="center">1.07</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">(0.41, 1.32)</td>
<td valign="top" align="center">0.30</td>
</tr>
<tr>
<td valign="top" align="left">Malignancies</td>
<td valign="top" align="center">30 (28.6)</td>
<td valign="top" align="center">17 (16.2)</td>
<td valign="top" align="center">4.63</td>
<td valign="top" align="center">2.07</td>
<td valign="top" align="center">(1.06, 4.05)</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Antibiotics exposure within 3 months before CRKP-BSI</bold></td>
</tr>
<tr>
<td valign="top" align="left">3rd-generation cephalosporins</td>
<td valign="top" align="center">44 (41.9)</td>
<td valign="top" align="center">30 (28.6)</td>
<td valign="top" align="center">4.09</td>
<td valign="top" align="center">1.80</td>
<td valign="top" align="center">(1.02, 3.20)</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2;-lactam inhibitor</td>
<td valign="top" align="center">73 (69.5)</td>
<td valign="top" align="center">53 (50.5)</td>
<td valign="top" align="center">7.94</td>
<td valign="top" align="center">2.24</td>
<td valign="top" align="center">(1.27, 3.94)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Carbapenem</td>
<td valign="top" align="center">73 (69.5)</td>
<td valign="top" align="center">26 (24.8)</td>
<td valign="top" align="center">42.21</td>
<td valign="top" align="center">6.93</td>
<td valign="top" align="center">(3.78, 12.73)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Aminoglycosides</td>
<td valign="top" align="center">1 (1.0)</td>
<td valign="top" align="center">3 (2.9)</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">(0.03, 3.20)</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">Quinolones</td>
<td valign="top" align="center">34 (32.4)</td>
<td valign="top" align="center">17 (16.2)</td>
<td valign="top" align="center">7.48</td>
<td valign="top" align="center">2.48</td>
<td valign="top" align="center">(1.28, 4.80)</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Tigecycline</td>
<td valign="top" align="center">40 (38.1)</td>
<td valign="top" align="center">14 (13.3)</td>
<td valign="top" align="center">16.85</td>
<td valign="top" align="center">4.00</td>
<td valign="top" align="center">(2.01, 7.95)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Glycopeptides</td>
<td valign="top" align="center">10 (9.5)</td>
<td valign="top" align="center">2 (1.9)</td>
<td valign="top" align="center">5.66</td>
<td valign="top" align="center">5.42</td>
<td valign="top" align="center">(1.16, 25.38)</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Antifungal agents</td>
<td valign="top" align="center">22 (21.0)</td>
<td valign="top" align="center">13 (12.4)</td>
<td valign="top" align="center">2.78</td>
<td valign="top" align="center">1.88</td>
<td valign="top" align="center">(0.89, 3.96)</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoid</td>
<td valign="top" align="center">55 (52.4)</td>
<td valign="top" align="center">23 (21.9)</td>
<td valign="top" align="center">20.89</td>
<td valign="top" align="center">3.92</td>
<td valign="top" align="center">(2.15, 7.15)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Surgical history and invasive procedures within 1 month before CRKP-BSI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Surgical history</td>
<td valign="top" align="center">55 (52.4)</td>
<td valign="top" align="center">32 (30.5)</td>
<td valign="top" align="center">10.38</td>
<td valign="top" align="center">2.51</td>
<td valign="top" align="center">(1.43, 4.42)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Mechanical ventilation</td>
<td valign="top" align="center">64 (61.0)</td>
<td valign="top" align="center">36 (34.3)</td>
<td valign="top" align="center">14.97</td>
<td valign="top" align="center">2.99</td>
<td valign="top" align="center">(1.71, 5.25)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Central venous catheter insertion</td>
<td valign="top" align="center">80 (76.9)</td>
<td valign="top" align="center">47 (44.8)</td>
<td valign="top" align="center">21.70</td>
<td valign="top" align="center">3.95</td>
<td valign="top" align="center">(2.19, 7.13)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Arterial catheters</td>
<td valign="top" align="center">52 (49.5)</td>
<td valign="top" align="center">44 (41.9)</td>
<td valign="top" align="center">1.23</td>
<td valign="top" align="center">1.36</td>
<td valign="top" align="center">(0.79, 2.35)</td>
<td valign="top" align="center">0.27</td>
</tr>
<tr>
<td valign="top" align="left">Urinary catheter insertion</td>
<td valign="top" align="center">80 (76.2)</td>
<td valign="top" align="center">59 (56.2)</td>
<td valign="top" align="center">9.38</td>
<td valign="top" align="center">2.50</td>
<td valign="top" align="center">(1.38, 4.51)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Drainage tube insertion</td>
<td valign="top" align="center">32 (30.5)</td>
<td valign="top" align="center">16 (15.2)</td>
<td valign="top" align="center">6.91</td>
<td valign="top" align="center">2.44</td>
<td valign="top" align="center">(1.24, 4.79)</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td valign="top" align="left">Gastric tube insertion</td>
<td valign="top" align="center">68 (64.8)</td>
<td valign="top" align="center">49 (46.7)</td>
<td valign="top" align="center">6.97</td>
<td valign="top" align="center">2.10</td>
<td valign="top" align="center">(1.21, 3.66)</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Related to hospitalization</bold></td>
</tr>
<tr>
<td valign="top" align="left">Prior hospital stays median (IQR)</td>
<td valign="top" align="center">23 (12.5, 43)</td>
<td valign="top" align="center">12 (4, 25.5)</td>
<td valign="top" align="center">3605</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">ICU stay, median (IQR)</td>
<td valign="top" align="center">12 (0, 34.5)</td>
<td valign="top" align="center">0 (0, 15)</td>
<td valign="top" align="center">4317</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">LOS (days), median (IQR)</td>
<td valign="top" align="center">41 (20, 66)</td>
<td valign="top" align="center">34 (16, 70)</td>
<td valign="top" align="center">4916</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">Death</td>
<td valign="top" align="center">58 (55.2)</td>
<td valign="top" align="center">26 (24.8)</td>
<td valign="top" align="center">20.32</td>
<td valign="top" align="center">3.75</td>
<td valign="top" align="center">(2.09, 6.74)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>For non-normally distributed quantitative data, they were expressed as median (IQR); Qualitative data were expressed as number and percentage [n (%)]. &#x03B2;-lactam inhibitor referred to &#x03B2;-lactamase inhibitors (piperacillin tazobactam and cefoperazone sulbactam), and carbapenem referred to one of the carbapenems (imipenem, meropenem, doripenem). CRKP-BSI, carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection; ICU, intensive care unit; LOS, length of hospital stays; IQR, interquartile range; &#x2014;, no result.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Multivariate analyses of the independent risk factors for CRKP-BSI and CSKP-BSI compared to the control group.</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="center" style="color:#ffffff;background-color: #7f8080;">&#x03B2;</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">SE</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Wald (&#x03C7;<sup>2</sup>)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">OR</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>95%CI</italic></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>CRKP-BSI vs. control group</bold></td>
</tr>
<tr>
<td valign="top" align="left">Liver diseases</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">5.12</td>
<td valign="top" align="center">2.37</td>
<td valign="top" align="center">1.12&#x223C;5.00</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Carbapenem</td>
<td valign="top" align="center">1.17</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">9.07</td>
<td valign="top" align="center">3.24</td>
<td valign="top" align="center">1.51&#x223C;6.95</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Tigecycline</td>
<td valign="top" align="center">1.23</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">7.23</td>
<td valign="top" align="center">3.43</td>
<td valign="top" align="center">1.40&#x223C;8.41</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoids</td>
<td valign="top" align="center">1.53</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">15.21</td>
<td valign="top" align="center">4.64</td>
<td valign="top" align="center">2.15&#x223C;10.02</td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>CSKP-BSI vs. control group</bold></td>
</tr>
<tr>
<td valign="top" align="left">Liver diseases</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">4.22</td>
<td valign="top" align="center">1.82</td>
<td valign="top" align="center">1.03&#x223C;3.22</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Malignancy</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">6.10</td>
<td valign="top" align="center">2.38</td>
<td valign="top" align="center">1.20&#x223C;4.75</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Death vs. survivors in the CRKP-BSI group</bold></td>
</tr>
<tr>
<td valign="top" align="left">Arterial catheters</td>
<td valign="top" align="center">1.39</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">10.94</td>
<td valign="top" align="center">4.03</td>
<td valign="top" align="center">1.76&#x223C;9.19</td>
<td valign="top" align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>CRKP-BSI, carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection; CSKP-BSI, carbapenem-susceptible <italic>Klebsiella pneumoniae</italic> bloodstream infection.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>3.4 The CSKP-BSI group compared to the control group</title>
<p>The clinical characteristics affecting the development of CSKP-BSI in patients were identified using univariate analyses and compared with those of control patients (<xref ref-type="table" rid="T5">Table 5</xref>). The factors determined to be more closely related with CSKP-BSI included liver diseases (OR = 2.01; 95%CI, 1.16&#x2013;3.49; <italic>p</italic> = 0.01), malignancies (OR = 2.48; 95%CI, 1.28&#x2013;4.80; <italic>p</italic> = 0.006); surgical history (OR = 2.24; 95%CI, 1.27&#x2013;3.94; <italic>p</italic> = 0.005), and invasive procedures, including central venous catheter insertion (OR = 2.27; 95%CI, 1.30&#x2013;3.95; <italic>p</italic> = 0.004), within 1 month before a positive blood culture. Multivariate conditional logistic regression analysis indicated that liver diseases (OR = 1.82; 95%CI, 1.03&#x2013;3.22; <italic>p</italic> = 0.04), and malignancies (OR = 2.38; 95%CI, 1.20&#x2013;4.75; <italic>p</italic> = 0.01) were independent risk factors for CSKP-BSI (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Univariate analyses of the risk factors for CSKP-BSI compared to the control group (<italic>N</italic> = 105).</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="center" style="color:#ffffff;background-color: #7f8080;">CSKP<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Control<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03C7;<sup>2</sup>/U</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">OR</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">95%CI</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Demographic characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Sex, male</td>
<td valign="top" align="center">67 (63.8)</td>
<td valign="top" align="center">65 (61.9)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">(0.84, 1.27)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Underlying disorder</bold></td>
</tr>
<tr>
<td valign="top" align="left">Respiratory diseases</td>
<td valign="top" align="center">67 (63.8)</td>
<td valign="top" align="center">66 (62.9)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.59, 1.83)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">Liver diseases</td>
<td valign="top" align="center">66 (62.9)</td>
<td valign="top" align="center">48 (45.7)</td>
<td valign="top" align="center">6.22</td>
<td valign="top" align="center">2.01</td>
<td valign="top" align="center">(1.16, 3.49)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Urinary system diseases</td>
<td valign="top" align="center">47 (44.8)</td>
<td valign="top" align="center">49 (46.7)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">(0.54, 1.59)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">Circulatory diseases</td>
<td valign="top" align="center">69 (65.7)</td>
<td valign="top" align="center">78 (74.3)</td>
<td valign="top" align="center">1.84</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">(0.37, 1.20)</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">Central nervous diseases</td>
<td valign="top" align="center">35 (33.3)</td>
<td valign="top" align="center">37 (35.2)</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">(0.52, 1.63)</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left">Digestive system diseases</td>
<td valign="top" align="center">14 (13.3)</td>
<td valign="top" align="center">22 (21.0)</td>
<td valign="top" align="center">2.15</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">(0.28, 1.21)</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">38 (36.2)</td>
<td valign="top" align="center">37 (35.2)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.59, 1.83)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">Malignancies</td>
<td valign="top" align="center">34 (32.4)</td>
<td valign="top" align="center">17 (16.2)</td>
<td valign="top" align="center">7.48</td>
<td valign="top" align="center">2.48</td>
<td valign="top" align="center">(1.28, 4.80)</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Antibiotics exposure within 3 months before CRKP-BSI</bold></td>
</tr>
<tr>
<td valign="top" align="left">3rd-generation cephalosporins</td>
<td valign="top" align="center">26 (24.8)</td>
<td valign="top" align="center">30 (28.6)</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">(0.45, 1.52)</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2;-lactam inhibitor</td>
<td valign="top" align="center">54 (51.4)</td>
<td valign="top" align="center">53 (50.5)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.61, 1.79)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">Carbapenem</td>
<td valign="top" align="center">19 (18.1)</td>
<td valign="top" align="center">26 (24.8)</td>
<td valign="top" align="center">1.39</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">(0.35, 1.31)</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">Aminoglycosides</td>
<td valign="top" align="center">1 (1.0)</td>
<td valign="top" align="center">3 (2.9)</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">(0.03, 3.20)</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">Quinolones</td>
<td valign="top" align="center">16 (15.2)</td>
<td valign="top" align="center">17 (16.2)</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">(0.44, 1.96)</td>
<td valign="top" align="center">0.85</td>
</tr>
<tr>
<td valign="top" align="left">Tigecycline</td>
<td valign="top" align="center">14 (13.3)</td>
<td valign="top" align="center">14 (13.3)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.45, 2.22)</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Glycopeptides</td>
<td valign="top" align="center">6 (5.7)</td>
<td valign="top" align="center">2 (1.9)</td>
<td valign="top" align="center">2.08</td>
<td valign="top" align="center">3.12</td>
<td valign="top" align="center">(0.62, 15.83)</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">Antifungal agents</td>
<td valign="top" align="center">12 (11.4)</td>
<td valign="top" align="center">13 (12.4)</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">(0.40, 2.11)</td>
<td valign="top" align="center">0.83</td>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoid</td>
<td valign="top" align="center">22 (21.0)</td>
<td valign="top" align="center">23 (21.9)</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">(0.49, 1.83)</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Surgical history and invasive procedures within 1 month before CRKP-BSI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Surgical history</td>
<td valign="top" align="center">52 (49.5)</td>
<td valign="top" align="center">32 (30.5)</td>
<td valign="top" align="center">7.94</td>
<td valign="top" align="center">2.24</td>
<td valign="top" align="center">(1.27, 3.94)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Mechanical ventilation</td>
<td valign="top" align="center">40 (38.1)</td>
<td valign="top" align="center">36 (34.3)</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">1.18</td>
<td valign="top" align="center">(0.67, 2.07)</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">Central venous catheter insertion</td>
<td valign="top" align="center">68 (64.8)</td>
<td valign="top" align="center">47 (44.8)</td>
<td valign="top" align="center">8.48</td>
<td valign="top" align="center">2.27</td>
<td valign="top" align="center">(1.30, 3.95)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Arterial catheters</td>
<td valign="top" align="center">42 (40.0)</td>
<td valign="top" align="center">44 (41.9)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">(0.53, 1.60)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">Urinary catheter insertion</td>
<td valign="top" align="center">58 (55.2)</td>
<td valign="top" align="center">59 (56.2)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">(0.56, 1.66)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">Drainage tube insertion</td>
<td valign="top" align="center">21 (20.0)</td>
<td valign="top" align="center">16 (15.2)</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">1.39</td>
<td valign="top" align="center">(0.68, 2.84)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Gastric tube insertion</td>
<td valign="top" align="center">50 (47.6)</td>
<td valign="top" align="center">49 (46.7)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.60, 1.79)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Related to hospitalization</bold></td>
</tr>
<tr>
<td valign="top" align="left">Prior hospital stays median (IQR)</td>
<td valign="top" align="center">12 (5, 22)</td>
<td valign="top" align="center">12 (4, 25.5)</td>
<td valign="top" align="center">5707</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">0.66</td>
</tr>
<tr>
<td valign="top" align="left">ICU stay, median (IQR)</td>
<td valign="top" align="center">0 (0, 11)</td>
<td valign="top" align="center">0 (0, 15)</td>
<td valign="top" align="center">6009</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">LOS (days), median (IQR)</td>
<td valign="top" align="center">32 (18, 50.5)</td>
<td valign="top" align="center">34 (16, 70)</td>
<td valign="top" align="center">5857</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">0.43</td>
</tr>
<tr>
<td valign="top" align="left">Death</td>
<td valign="top" align="center">30 (28.6)</td>
<td valign="top" align="center">26 (24.8)</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">(0.66, 2.24)</td>
<td valign="top" align="center">0.53</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>For non-normally distributed quantitative data, they were expressed as median (IQR); Qualitative data were expressed as number and percentage (n (%)). &#x03B2;-lactam inhibitor referred to &#x03B2;-lactamase inhibitors (piperacillin tazobactam and cefoperazone sulbactam), and carbapenem referred to one of the carbapenems (imipenem, meropenem, doripenem). CSKP-BSI, carbapenem-susceptible <italic>Klebsiella pneumoniae</italic> bloodstream infection; ICU, intensive care unit; LOS, length of hospital stays; IQR, interquartile range; &#x2014;, no result.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS5">
<title>3.5 Clinical outcomes</title>
<p>Overall, the 30-day mortality of patients with CRKP-BSI was 30.5% (32/105), while that of CSKP-BSI patients was 18.1% (19/105), and that of the control group was 13.3% (14/105), The 30-day mortality was significantly higher in the CRKP-BSI group compared to both the CSKP-BSI group and the control group (<italic>p</italic> = 0.007). A significant difference was also observed in the length of hospital stays among the study groups (<italic>p</italic> = 0.01). The clinical outcomes of the three groups are listed in <xref ref-type="table" rid="T6">Table 6</xref>. The variables associated with 30-day mortality in the Cox hazard model were patient groups (<italic>p</italic> = 0.02), respiratory diseases (HR = 3.52; 95%CI, 1.37&#x2013;9.06; <italic>p</italic> = 0.009); use of 3rd-generation cephalosporins (HR = 1.92; 95%CI, 1.10&#x2013;3.33; <italic>p</italic> = 0.02); mechanical ventilation (HR = 2.14; 95%CI, 1.15&#x2013;3.97; <italic>p</italic> = 0.02); central venous catheter insertion (HR = 2.85; 95%CI, 1.46&#x2013;5.59; <italic>p</italic> = 0.002) and length of hospital stays (HR = 0.90; 95%CI, 0.88&#x2013;0.92; <italic>p</italic> &#x003C; 0.001). Kaplan-Meier survival analysis was performed, and the results are shown in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Clinical outcomes comparison between CRKP-BSI, CSKP-BSI, and control 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;">Outcomes</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CRKP-BSI<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CSKP-BSI<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Control<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">30-day mortality</td>
<td valign="top" align="center">32 (30.5)</td>
<td valign="top" align="center">19 (18.1)</td>
<td valign="top" align="center">14 (13.3)</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="center">58 (55.2)</td>
<td valign="top" align="center">30 (28.6)</td>
<td valign="top" align="center">26 (24.8)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">LOS (days), median (IQR)</td>
<td valign="top" align="center">41 (20, 66)</td>
<td valign="top" align="center">32 (18, 50.5)</td>
<td valign="top" align="center">34 (16, 70)</td>
<td valign="top" align="center">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>CRKP-BSI, carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection; CSKP-BSI, carbapenem-susceptible <italic>Klebsiella pneumoniae</italic> bloodstream infection; LOS, length of hospital stays; IQR, interquartile range.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Kaplan&#x2013;Meier curves showing 30-day mortality for the CRKP-BSI group, CSKP-BSI group and control group (<italic>p</italic> = 0.007). A significant difference was observed between the CRKP-BSI group and the CSKP-BSI group (<italic>p</italic> = 0.04) as well as between the CRKP-BSI group and the control group (<italic>p</italic> = 0.004). However, there was no significant difference between the CSKP-BSI group and the control group (<italic>p</italic> = 0.37).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1531984-g003.tif"/>
</fig>
<p>Fifty-eight patients (55.2%) in the CRKP-BSI group, 30 patients (28.6%) in the CSKP-BSI group, and 26 patients (24.8%) in the control group died during hospitalization, in-hospital mortality was higher in the CRKP-BSI group compared to both the CSKP-BSI group and the control group (<italic>p</italic> &#x003C; 0.001). Univariate analyses comparing the clinical characteristics of patients with CRKP-BSI who survived or died are presented in <xref ref-type="table" rid="T7">Table 7</xref>. Univariate analysis indicated that arterial catheter use (OR = 3.76; 95%CI, 1.67&#x2013;8.49; <italic>p</italic> = 0.001), and ICU stays (<italic>p</italic> = 0.006) were associated with in-hospital mortality. Multivariate conditional logistic regression analysis showed that arterial catheter placement within 1 month before a positive blood culture (OR = 3.76; 95%CI, 1.67&#x2013;8.49; <italic>p</italic> = 0.001) was an independent risk factor for in-hospital mortality (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T7">
<label>TABLE 7</label>
<caption><p>Univariable analyses of in-hospital mortality in the CRKP-BSI group.</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="center" style="color:#ffffff;background-color: #7f8080;">CRKP-BSI death<break/> (<italic>N</italic> = 58)<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CRKP-BSI survivors<break/> (<italic>N</italic> = 47)<break/> [n (%)]</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03C7;<sup>2</sup>/U</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">OR</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">95%CI</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Demographic characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Sex, male</td>
<td valign="top" align="center">45 (77.6)</td>
<td valign="top" align="center">31 (66.0)</td>
<td valign="top" align="center">1.76</td>
<td valign="top" align="center">1.79</td>
<td valign="top" align="center">(0.75, 4.24)</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">Age (years), median (IQR)</td>
<td valign="top" align="center">72 (61, 83)</td>
<td valign="top" align="center">68 (54, 76)</td>
<td valign="top" align="center">1159</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">Age &#x003E; 65</td>
<td valign="top" align="center">36 (62.1)</td>
<td valign="top" align="center">29 (61.7)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">(0.46, 2.24)</td>
<td valign="top" align="center">0.97</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Underlying disorder</bold></td>
</tr>
<tr>
<td valign="top" align="left">Respiratory diseases</td>
<td valign="top" align="center">50 (86.2)</td>
<td valign="top" align="center">35 (74.5)</td>
<td valign="top" align="center">2.32</td>
<td valign="top" align="center">2.14</td>
<td valign="top" align="center">(0.79, 5.79)</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Liver diseases</td>
<td valign="top" align="center">38 (65.5)</td>
<td valign="top" align="center">25 (53.2)</td>
<td valign="top" align="center">1.64</td>
<td valign="top" align="center">1.67</td>
<td valign="top" align="center">(0.76, 3.68)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">Urinary system diseases</td>
<td valign="top" align="center">32 (55.2)</td>
<td valign="top" align="center">23 (48.9)</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">(0.59, 2.78)</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">Circulatory diseases</td>
<td valign="top" align="center">40 (69.0)</td>
<td valign="top" align="center">30 (63.8)</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">1.26</td>
<td valign="top" align="center">(0.56, 2.84)</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left">Central nervous diseases</td>
<td valign="top" align="center">24 (41.4)</td>
<td valign="top" align="center">14 (29.8)</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">1.66</td>
<td valign="top" align="center">(0.74, 3.76)</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">Digestive system diseases</td>
<td valign="top" align="center">17 (29.3)</td>
<td valign="top" align="center">14 (29.8)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">(0.42, 2.27)</td>
<td valign="top" align="center">0.96</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">17 (29.3)</td>
<td valign="top" align="center">13 (27.7)</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">(0.46, 2.55)</td>
<td valign="top" align="center">0.85</td>
</tr>
<tr>
<td valign="top" align="left">Malignancies</td>
<td valign="top" align="center">13 (22.4)</td>
<td valign="top" align="center">17 (36.2)</td>
<td valign="top" align="center">2.41</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">(0.22, 1.20)</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Antibiotics exposure within 3 months before CRKP-BSI</bold></td>
</tr>
<tr>
<td valign="top" align="left">3rd-generation cephalosporins</td>
<td valign="top" align="center">25 (43.1)</td>
<td valign="top" align="center">19 (40.4)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">1.12</td>
<td valign="top" align="center">(0.51, 2.44)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2;-lactam inhibitor</td>
<td valign="top" align="center">41 (70.7)</td>
<td valign="top" align="center">32 (68.1)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">(0.49, 2.60)</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left">Carbapenem</td>
<td valign="top" align="center">43 (74.1)</td>
<td valign="top" align="center">30 (63.8)</td>
<td valign="top" align="center">1.30</td>
<td valign="top" align="center">1.62</td>
<td valign="top" align="center">(0.70, 3.75)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">Quinolones</td>
<td valign="top" align="center">20 (34.5)</td>
<td valign="top" align="center">14 (29.8)</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">(0.54, 2.84)</td>
<td valign="top" align="center">0.61</td>
</tr>
<tr>
<td valign="top" align="left">Tigecycline</td>
<td valign="top" align="center">27 (46.6)</td>
<td valign="top" align="center">13 (27.7)</td>
<td valign="top" align="center">3.93</td>
<td valign="top" align="center">2.28</td>
<td valign="top" align="center">(1.00, 5.18)</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Macrolides</td>
<td valign="top" align="center">1 (1.7)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Glycopeptides</td>
<td valign="top" align="center">7 (12.1)</td>
<td valign="top" align="center">3 (6.4)</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">2.01</td>
<td valign="top" align="center">(0.49, 8.26)</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left">Antifungal agents</td>
<td valign="top" align="center">14 (24.1)</td>
<td valign="top" align="center">8 (17.0)</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">1.55</td>
<td valign="top" align="center">(0.59, 4.09)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoid</td>
<td valign="top" align="center">32 (55.2)</td>
<td valign="top" align="center">23 (48.9)</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">(0.59, 2.78)</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Surgical history and invasive procedures within 1 month before CRKP-BSI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Surgical history</td>
<td valign="top" align="center">28 (48.3)</td>
<td valign="top" align="center">27 (57.4)</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">(0.32, 1.50)</td>
<td valign="top" align="center">3.45</td>
</tr>
<tr>
<td valign="top" align="left">Mechanical ventilation</td>
<td valign="top" align="center">40 (69.0)</td>
<td valign="top" align="center">24 (51.1)</td>
<td valign="top" align="center">3.50</td>
<td valign="top" align="center">2.13</td>
<td valign="top" align="center">(0.96, 4.73)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Central venous catheter insertion</td>
<td valign="top" align="center">47 (81.0)</td>
<td valign="top" align="center">33 (70.2)</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">1.81</td>
<td valign="top" align="center">(0.73, 4.49)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">Arterial catheters</td>
<td valign="top" align="center">37 (63.8)</td>
<td valign="top" align="center">15 (31.9)</td>
<td valign="top" align="center">10.55</td>
<td valign="top" align="center">3.76</td>
<td valign="top" align="center">(1.67, 8.49)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Urinary catheter insertion</td>
<td valign="top" align="center">47 (81.0)</td>
<td valign="top" align="center">33 (70.2)</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">1.81</td>
<td valign="top" align="center">(0.73, 4.49)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">Drainage tube insertion</td>
<td valign="top" align="center">19 (32.8)</td>
<td valign="top" align="center">13 (27.7)</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">1.27</td>
<td valign="top" align="center">(0.55, 2.96)</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">Gastric tube insertion</td>
<td valign="top" align="center">41 (70.7)</td>
<td valign="top" align="center">27 (57.4)</td>
<td valign="top" align="center">1.99</td>
<td valign="top" align="center">1.79</td>
<td valign="top" align="center">(0.80, 4.01)</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Related to hospitalization</bold></td>
</tr>
<tr>
<td valign="top" align="left">Prior hospital stays median (IQR)</td>
<td valign="top" align="center">25 (14, 48)</td>
<td valign="top" align="center">21 (11, 43)</td>
<td valign="top" align="center">1234</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.40</td>
</tr>
<tr>
<td valign="top" align="left">ICU stays, median (IQR)</td>
<td valign="top" align="center">16 (5, 35)</td>
<td valign="top" align="center">0 (0, 31.75)</td>
<td valign="top" align="center">944</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">LOS (days), median (IQR)</td>
<td valign="top" align="center">35 (19, 58)</td>
<td valign="top" align="center">49.5 (28, 82)</td>
<td valign="top" align="center">1596</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Antimicrobial therapy</bold></td>
</tr>
<tr>
<td valign="top" align="left">Untreated</td>
<td valign="top" align="center">2 (3.4)</td>
<td valign="top" align="center">1 (2.1)</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">1.64</td>
<td valign="top" align="center">(0.14, 18.7)</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left">Monotherapy with tigecycline</td>
<td valign="top" align="center">6 (10.3)</td>
<td valign="top" align="center">5 (10.6)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">(0.28, 3.40)</td>
<td valign="top" align="center">0.96</td>
</tr>
<tr>
<td valign="top" align="left">Monotherapy with colistin</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">1 (2.1)</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">Monotherapy without tigecycline or colistin</td>
<td valign="top" align="center">21 (36.2)</td>
<td valign="top" align="center">17 (36.2)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.45, 2.23)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Combine therapy without tigecycline or colistin</td>
<td valign="top" align="center">5 (8.6)</td>
<td valign="top" align="center">2 (4.3)</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">2.12</td>
<td valign="top" align="center">(0.39, 11.47)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Combine therapy with tigecycline</td>
<td valign="top" align="center">10 (17.2)</td>
<td valign="top" align="center">10 (21.3)</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">(0.29, 2.05)</td>
<td valign="top" align="center">0.60</td>
</tr>
<tr>
<td valign="top" align="left">Combine therapy with colistin</td>
<td valign="top" align="center">3 (5.2)</td>
<td valign="top" align="center">2 (4.3)</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">1.23</td>
<td valign="top" align="center">(0.20, 7.67)</td>
<td valign="top" align="center">0.83</td>
</tr>
<tr>
<td valign="top" align="left">Combine therapy with tigecycline and colistin</td>
<td valign="top" align="center">4 (6.9)</td>
<td valign="top" align="center">4 (8.5)</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">(0.19, 3.37)</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">Ceftazidime/avibactam</td>
<td valign="top" align="center">7 (12.1)</td>
<td valign="top" align="center">5 (10.6)</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">1.15</td>
<td valign="top" align="center">(0.34, 3.90)</td>
<td valign="top" align="center">0.82</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>For non-normally distributed quantitative data, they were expressed as median (IQR); Qualitative data were expressed as number and percentage [n (%)]. &#x03B2;-lactam inhibitor referred to &#x03B2;-lactamase inhibitors (piperacillin tazobactam and cefoperazone sulbactam), and carbapenem referred to one of the carbapenems (imipenem, meropenem, doripenem). SD, standard deviation; CRKP-BSI, carbapenem-resistant <italic>Klebsiella pneumoniae</italic> bloodstream infection; ICU, intensive care unit; LOS, length of hospital stays; IQR, interquartile range; &#x2013;, no result.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>4 Discussion</title>
<p>This study provides important insights into the characteristics and outcomes of CRKP in BSIs. For studies on risk factors for CRKP infection, the selection of an appropriate control group is critical to generate correct conclusions. Several studies selected the CSKP group as the control group, which can introduce statistical selection bias. CSKP represents only a small proportion of nosocomial infections and may not be representative of all infections. In addition, certain antibiotics may inhibit or eliminate certain strains of CSKP, while not affecting CRKP, which is another important bias. Consequently, the frequency of antibiotic use in CSKP strains may decrease, indirectly amplifying the risk factors for CRKP (<xref ref-type="bibr" rid="B32">Ng et al., 2014</xref>). Alternatively, a few studies have only included patients who were not infected with CRKP as controls but did not distinguish between susceptible and resistant groups (<xref ref-type="bibr" rid="B11">Cronin et al., 2017</xref>; <xref ref-type="bibr" rid="B16">Giacobbe et al., 2017</xref>; <xref ref-type="bibr" rid="B31">Micozzi et al., 2017</xref>). However, the risk factors for KP infection cannot be analyzed in such a scenario. Therefore, we performed a case-case-control study that included matched control from inpatients to identify the risk factors for CRKP/CSKP infection and the 30-day mortality of CRKP, thereby guiding the prevention and appropriate hospital treatment strategies.</p>
<p>In our study, we determined that CRKP-BSI was primarily concentrated in the ICU, followed by the hematology and emergency departments in the general medical department. Nosocomial infections are readily acquired in the ICU due to airborne and contact transmission of CRKP in this confined environment (<xref ref-type="bibr" rid="B22">Jiao et al., 2015</xref>). The transmission of CRKP is facilitated in the ICU by frequent use of medical equipment and invasive procedures. Patients in the ICU have serious underlying diseases and may be treated with broad-spectrum antibiotics, which also contribute to the induction of CRKP-BSI. Notably, hematology patients present unique vulnerabilities that increase the risk of CRKP-BSI, including long-term hospitalization, use of high-grade antibiotics, and an impaired immune response (<xref ref-type="bibr" rid="B6">Chen J. et al., 2022</xref>; <xref ref-type="bibr" rid="B13">de Souza et al., 2024</xref>). Patients with various infectious diseases are often treated in the emergency department, where crowdedness with patients, heavy workload of medical staff, and inadequate implementation of infection control measures are common problems that may lead to cross-transmission of CRKP in the emergency department.</p>
<p>The findings of this study showed that antibiotic resistance was more pronounced in the CRKP-BSI group than that in the CSKP-BSI group. However, these strains remained relatively susceptible to colistin and tigecycline. Considering the above results and individual clinical conditions, combination therapy is recommended as the optimal treatment approach for CRKP-BSI.</p>
<p>The statistically significant factors identified in multivariate analyses of both the CRKP-BSI and CSKP-BSI groups were risk factors for <italic>K. pneumoniae</italic>-BSI. The factors that were statistically significant in the multivariate analysis of CRKP-BSI but not of CSKP-BSI were risk factors for CRKP-BSI. In contrast, factors that were statistically significant in the multivariate analysis of CSKP-BSI but not of CRKP-BSI were risk factors for CSKP-BSI (<xref ref-type="bibr" rid="B24">Kaye et al., 2005</xref>). We identified that exposure to antibiotics (carbapenems and tigecycline) and glucocorticoids were risk factors for CRKP-BSI. One risk factor, liver disease, was a risk factor for <italic>K. pneumoniae</italic>-BSI. Patients with liver diseases have altered enteric flora and impaired immune systems, which increase the risk of <italic>K. pneumoniae</italic>-BSI (<xref ref-type="bibr" rid="B20">Hsu et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Lameir&#x00E3;o Gomes et al., 2019</xref>). In addition, patients with liver diseases require invasive procedures for diagnosis and treatment, which can exacerbate the occurrence of nosocomial infections.</p>
<p>Consistent with the results of previous studies (<xref ref-type="bibr" rid="B4">Cao et al., 2022</xref>; <xref ref-type="bibr" rid="B50">Xiao et al., 2020</xref>), our study showed that prior carbapenem use was an independent risk factor for CRKP-BSI. Carbapenemase acquisition is the primary cause of carbapenem resistance and occurs in across diverse departments (<xref ref-type="bibr" rid="B53">Zhang et al., 2021</xref>). Han et al. showed that the most prevalent carbapenemase gene in CRKP in China is blaKPC-2, followed by blaNDM (<xref ref-type="bibr" rid="B18">Han et al., 2020</xref>), and carbapenem exposure may induce the emergence of resistance-conferring genes. In contrast to other studies, our study determined that tigecycline exposure was also a risk factor for CRKP-BSI, indicating that CRKP-BSI can be induced by carbapenem as well as by other drugs. A previous study suggested that overexpression of the AcrAB efflux pump, induced by activated MarA, plays an important role in the emergence of CRKP isolates (<xref ref-type="bibr" rid="B35">Park et al., 2020</xref>). The use of antibiotics within 3 months before a positive blood culture indicated that the patient may have had repeated infections and antibiotic exposure, thereby increasing the risk of antibiotic resistance development. Thus, there is a need to strengthen the management of antibiotics in inpatients. Treatment with high doses for appropriate durations is a better way to limit the risk of infection. Consistent with previous studies (<xref ref-type="bibr" rid="B21">Huang et al., 2023</xref>), we showed that glucocorticoids use is a risk factor for CRKP-BSI, possibly because patients with CRKP-BSI have serious underlying diseases and are treated with glucocorticoids. Second, the use of glucocorticoids destroys the intestinal microenvironment, kills susceptible strains, and promotes the overgrowth of drug-resistant strains, thereby promoting a shift from opportunistic pathogens to pathogenic bacteria. Therefore, more attention should be paid to the initial appropriate antibiotic therapy for patients with CRKP-BSI. In addition, strengthening antimicrobial stewardship programs and regular resistance surveillance is essential to avoid unnecessary antibiotic exposure.</p>
<p>When assessing the potential impact of CRKP-BSI on 30-day mortality, we determined that patient groups, respiratory diseases, use of 3rd-generation cephalosporins, mechanical ventilation, and central venous catheter insertion were independent risk factors for 30-day mortality. However, a shorter length of hospital stays was a protective factor against 30-day mortality. Various studies have reported that mortality in patients with CRKP-BSI ranged from 24 to 65%, and some studies have shown that CRKP infection is an independent risk factor for mortality (<xref ref-type="bibr" rid="B4">Cao et al., 2022</xref>; <xref ref-type="bibr" rid="B6">Chen J. et al., 2022</xref>; <xref ref-type="bibr" rid="B27">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B28">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Schwaber et al., 2008</xref>). Similarly, in our study, patients with CRKP-BSI exhibited higher mortality and longer hospital stays.</p>
<p>Our study showed that patients with nosocomial CRKP-BSI were often diagnosed with respiratory diseases, which has been reported in previous studies (<xref ref-type="bibr" rid="B41">Strich et al., 2020</xref>). Moreover, several studies have also shown that chronic obstructive pulmonary disease (COPD) is a risk factor for CRKP infection (<xref ref-type="bibr" rid="B29">Liu et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Nouvenne et al., 2014</xref>; <xref ref-type="bibr" rid="B38">Salsano et al., 2016</xref>). Patients with respiratory diseases are more likely to be infected with or colonized by CRKP in the airway, and patients with respiratory diseases requiring mechanical ventilation or invasive procedures are susceptible to CRKP-BSI. Under the selective pressure of 3rd-generation cephalosporin use, susceptible strains are eliminated, thereby facilitating the survival of resistant strains. Mechanical ventilation and central venous catheter insertion were independent risk factors for 30-day mortality in patients with CRKP-BSI. The most likely reason for this is that invasive procedures can damage the mucosa and increase the incidence of CRKP-BSI because the majority of bacteria can pass through the mucosal barrier to the bloodstream (<xref ref-type="bibr" rid="B27">Li et al., 2020</xref>). A shorter LOS is a protective factor against 30-day mortality. Patients with a reduced LOS have a lower risk of CRKP infection due to decreased contact time with the hospital environment, medical staff, and other patients, which is consistent with the findings of previous studies (<xref ref-type="bibr" rid="B10">Correa et al., 2013</xref>; <xref ref-type="bibr" rid="B15">Gallagher et al., 2014</xref>). The longer the hospital stays, the greater the risk of infection from colonizing bacteria. Therefore, judicious use of 3rd-generation cephalosporins in antibiotic stewardship programs, reduction of invasive procedures, and prevention of CRKP-BSI are effective strategies to reduce 30-day mortality.</p>
<p>Not surprisingly, arterial catheterization was a risk factor for in-hospital mortality in patients with nosocomial CRKP-BSI, which is consistent with previous studies emphasizing the importance of aseptic operations in patient care, and that invasive procedures can damage the mucosa and increase the chance of CRKP entering the bloodstream (<xref ref-type="bibr" rid="B47">Wang et al., 2018</xref>). Maintaining aseptic technique is an important strategy for CRKP-BSI prevention.</p>
<p>Recently, an increasing number of studies have focused on active screening for CRKP to enable early detection, isolation, and intervention in high-risk departments and patients. The WHO and the US CDC recommend screening for CRE based on local epidemiological conditions (<xref ref-type="bibr" rid="B46">United States Department of Health and Human Services, 2015</xref>; <xref ref-type="bibr" rid="B48">World Health Organization, 2017</xref>). In our hospital, nosocomial CRKP-BSIs primarily occur in the ICU and in patients with specific risk factors, suggesting that higher-risk departments and patients should be actively screened for CRKP.</p>
<p>Therapeutic options for CRKP-BSI in our hospital include these based on monotherapy or, in combination, tigecycline, colistin or ceftazidime/avibactam. Outcomes of patients were not altered by different types of antimicrobial therapy in univariate analysis, which was consistent with previous studies (<xref ref-type="bibr" rid="B49">Xiao et al., 2018</xref>). This is mainly attributes to the optimal treatment option for CRKP infections is still not well established. The causes of death in patients with CRKP-BSI are complex. Clinicians should not only consider anti-infective treatment, but also consider the patient&#x2019;s own conditions, including the patient&#x2019;s underlying diseases and organ functions. The prompt identification of risk factors for mortality in patients infected with CRKP-BSI is essential for early prescription of adequate empirical antibiotic therapy, which was a key factor for mortality reduction.</p>
<p>The present study has several limitations. First, this was a single-center study with a small sample size. Therefore, it is imperative to conduct prospective, multicenter, large-sample clinical trials to validate our findings. Second, this was a retrospective cohort, and potential information and selection biases were unavoidable. Finally, the clinical microbiology laboratory of our hospital does not perform routine detection of carbapenemase production for CRKP. We cannot exclude the possibility that some carbapenemase-producing isolates were susceptible to carbapenems and may have been classified as CSKP in this study. We also could not assess whether any outbreaks occurred during the study period and whether different drug resistance mechanisms resulted in different clinical outcomes. Future studies should include molecular epidemiological investigations.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>5 Conclusion</title>
<p>This study aimed to elucidate the predictors of CRKP-BSI and help clinicians better identify CRKP-BSI at an early stage. In our hospital, CRKP-BSI exhibited a focal distribution across specific departments, such as the ICU, hematology department, and emergency department, highlighting the need to implement interventions such as hand hygiene protocols and environmental disinfection measures to limit CRKP transmission. The identification of risk factors for CRKP-BSI infection and mortality are critical for preventing and controlling CRKP. Our results showed that liver disease is an independent risk factor for <italic>K. pneumoniae</italic>-BSI, and that exposure to antibiotics (carbapenems and tigecycline) and glucocorticoids are risk factors for CRKP-BSI. central venous catheter insertion and mechanical ventilation use were independently associated with 30-day mortality. Therefore, patients with CRKP-BSI, respiratory diseases, use of 3rd-generation cephalosporins, mechanical ventilation, central venous catheter insertion, and arterial catheter use are more likely to have a poor prognosis. Close attention should be paid to patients who have used carbapenem and tigecycline over an extended period. Moreover, outcomes of patients were not altered by different types of antimicrobial therapy, the prompt identification of risk factors for mortality was a key factor for mortality reduction. The rational use of antibiotics, reduction in the length of hospital stays and reducing the frequency and duration of invasive procedures are effective measures to reduce CRKP-BSI and 30-day or in-hospital mortality (<xref ref-type="bibr" rid="B49">Xiao et al., 2018</xref>; <xref ref-type="bibr" rid="B52">Yuan et al., 2020</xref>). These findings provide valuable insights for the development of anti-infective therapy, infection prevention and the control strategies for CRKP-BSIs.</p>
</sec>
</body>
<back>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="S7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethical Committee of Tianjin Medical University General Hospital (No. IRB2024-YX-423-01). The studies were conducted in accordance with the local legislation and institutional requirements. 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>HK: Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YoL: Conceptualization, Writing &#x2013; original draft. LY: Data curation, Investigation, Writing &#x2013; original draft. QC: Formal Analysis, Investigation, Writing &#x2013; review &#x0026; editing. YaL: Data curation, Investigation, Writing &#x2013; review &#x0026; editing. ZH: Data curation, Methodology, Writing &#x2013; original draft. XF: Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YC: Methodology, Supervision, Writing &#x2013; review &#x0026; editing. ZD: Methodology, 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 study was funded by the National Natural Science Foundation of China (grant no. 82072212).</p>
</sec>
<ack><p>We thank all the patients who donated their biological samples and the medical staff involved in the treatment and care of the patients.</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>
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