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<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
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<issn pub-type="epub">2235-2988</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1734801</article-id>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Risk factors, and outcomes of patients with carbapenem-resistant <italic>Enterobacterales</italic> bloodstream infection: an eight-year case-case-control study</article-title>
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<name><surname>Kong</surname><given-names>Haifang</given-names></name>
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<name><surname>Li</surname><given-names>Yanchun</given-names></name>
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<name><surname>Yan</surname><given-names>Hua</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Laboratory Medicine, Tianjin Medical University General Hospital</institution>, <city>Tianjin</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Neurosurgery, Huanhu Hospital Affiliated to Tianjin Medical University</institution>, <city>Tianjin</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin Huanhu Hospital</institution>,<city>Tianjin</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Qingdao Eighth People&#x2019;s Hospital</institution>, <city>Shandong</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Neurosurgery, Tianjin First Central Hospital, School of Medicine, Nankai University</institution>, <city>Tianjin</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff6"><label>6</label><institution>The Fourth Central Hospital Affiliated to Tianjin Medical University</institution>, <city>Tianjin</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Hua Yan, <email xlink:href="mailto:swliuyong@163.com">swliuyong@163.com</email>; Xiuyu Wang, <email xlink:href="mailto:wangkaiyu911@126.com">wangkaiyu911@126.com</email>; Yamin Chai, <email xlink:href="mailto:chaiyamin181026@tmu.edu.cn">chaiyamin181026@tmu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-12">
<day>12</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1734801</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>13</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Kong, Liu, Wang, Yang, Chen, Li, Dong, Hu, Chai, Wang and Yan.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Kong, Liu, Wang, Yang, Chen, Li, Dong, Hu, Chai, Wang and Yan</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-12">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Carbapenem-resistant <italic>Enterobacterales</italic> bloodstream infection (CRE-BSI) represents a major and urgent challenge to global public health. Some patients with CRE-BSI have a greater risk for poor clinical outcomes, thus identifying risk factors for CRE-BSI is required to determine the most at-risk populations. Here, we investigated risk factors for CRE-BSI by conducting a retrospective case-case-control study at Tianjin Medical University General Hospital, between 2017 and 2024.&#xa0;A total of 144 patients with CRE-BSI were enrolled in this case-case-control study. Each case was matched simultaneously to a patient with carbapenem-susceptible <italic>Enterobacterales</italic> BSI (CSE-BSI) and a control patient with non-<italic>Enterobacterales</italic> bacteremia in a 1:1:1 ratio. This design facilitated the analysis of risk factors and a comparison of 30-day survival outcomes among groups. Multivariable logistic regression identified distinct risk factor profiles for different infections. Surgical history emerged as an independent risk factor for <italic>Enterobacterales</italic>-BSI. Independent risk factors for CRE-BSI encompassed prior exposure to third-generation cephalosporins (OR&#xa0;=&#xa0;1.94), carbapenems (OR&#xa0;=&#xa0;3.45), quinolones (OR&#xa0;=&#xa0;2.54), and glucocorticoids (OR&#xa0;=&#xa0;2.55), in addition to a history of surgery (OR&#xa0;=&#xa0;2.44) and gastric tube insertion (OR&#xa0;=&#xa0;2.45). In-hospital mortality for CRE-BSI reached 52.8%. Furthermore, arterial catheter use (OR&#xa0;=&#xa0;2.50) was identified as an independent risk factor for in-hospital mortality in patients with CRE-BSI. Cox proportional hazards modeling revealed several independent predicators of 30-day mortality: patient group (HR = 1.37; 95% CI, 1.01&#x2013;1.86; p = 0.04), age &#x2265; 65 years (HR = 0.43; 95% CI, 0.20&#x2013;0.93; p = 0.03), respiratory diseases (HR = 3.17; 95% CI, 1.54&#x2013;6.51; p = 0.002), and digestive system diseases (HR = 1.79; 95% CI, 1.03&#x2013;3.10; p = 0.04). Thus, a comprehensive evaluation of underlying diseases, antibiotic usage, and invasive procedures is required to reduce CRE-BSI-associated mortality. Given the notable morbidity and mortality, as well as constrained therapeutic options, associated with CRE-BSI, identifying risk factors for CRE-BSI is urgently required for effective disease prevention and to develop novel therapeutic strategies.</p>
</abstract>
<kwd-group>
<kwd>bloodstream infection</kwd>
<kwd>carbapenem-resistant <italic>Enterobacterales</italic></kwd>
<kwd>case-case-control study</kwd>
<kwd>outcomes</kwd>
<kwd>risk factor</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for work and/or its publication. This study was funded by Tianjin Key Medical Discipline Construction Project (Grant No. TJYXZDX K-3-002A-3) and Tianjin Municipal Health Commission (No. TJWJ2021QN017).</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="15"/>
<word-count count="8118"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical and Diagnostic Microbiology and Immunology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The emergence of antimicrobial resistance (AMR) has become a major public health threat (<xref ref-type="bibr" rid="B11">Chioro et&#xa0;al., 2015</xref>), with AMR incidence increasing globally due to inappropriate antibiotic use and poor infection control practices. Carbapenem-resistant <italic>Enterobacterales</italic> (CRE) are an especially concerning AMR threat due to their resistance to several last-resort antibiotics, leading to high mortality (<xref ref-type="bibr" rid="B47">World Health Organization, 2017</xref>). CRE infections are now among the most frequent and difficult-to-treat infections due to limited effective antimicrobial agent availability (<xref ref-type="bibr" rid="B12">Chotiprasitsakul et&#xa0;al., 2019</xref>, <xref ref-type="bibr" rid="B17">European Centre for Disease Prevention and Control (2018)</xref>, <xref ref-type="bibr" rid="B47">World Health Organization, 2017</xref>). In 2015, it was estimated that over 2,000 patients died from infections caused by CRE, particularly bloodstream infections (BSI), in Europe, with the number of attributable deaths increasing more than six-fold between 2007 and 2015 (<xref ref-type="bibr" rid="B5">Cassini et&#xa0;al., 2019</xref>). Accordingly, the Centers for Disease Control and Prevention (CDC) assigned CRE the highest threat level, requiring public attention (<xref ref-type="bibr" rid="B8">Centers for Disease Control and Prevention, 2019</xref>).</p>
<p>Increased carbapenem use in hospitals has led to increased CRE prevalence, thus constituting a serious public health threat. A report published by the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC) revealed that between 2017 and 2021, the prevalence of carbapenem resistance in <italic>Klebsiella pneumoniae</italic> isolates increased from 0% to 20% <xref ref-type="bibr" rid="B18">European Centre for Disease Prevention and Control and World Health Organization (2023)</xref>. In Brazil, CRE prevalence increased from almost zero between 1995&#x2013;1999, to &gt;20% between 2015&#x2013;2019 (<xref ref-type="bibr" rid="B19">Ferreira et&#xa0;al., 2020</xref>). In the United States, the prevalence of carbapenem resistance among <italic>Klebsiella pneumoniae</italic>, <italic>Enterobacter</italic> spp., and <italic>Escherichia coli</italic> (<italic>E. coli</italic>) bacteremia were 9.7%, 2.2%, and 0.1%, respectively (<xref ref-type="bibr" rid="B38">Satlin et&#xa0;al., 2017</xref>). The SENTRY study further demonstrated a statistically significant increase in CRE rates across Latin America over a 20-year period, increasing from 0.6 to 2.9% (<xref ref-type="bibr" rid="B6">Castanheira et&#xa0;al., 2019</xref>). According to the China Antimicrobial Surveillance Network (CHINET), the resistance rates of <italic>Enterobacterales</italic> isolates to imipenem and meropenem increased from 3.1% and 2.1% in 2005 to 11.1% and 10.8%, respectively, in 2024 (<xref ref-type="bibr" rid="B10">CHINET, 2024</xref>). BSI is one of the most severe nosocomial infections, with <italic>Enterobacterales</italic> being the most common associated pathogen (<xref ref-type="bibr" rid="B51">Zhou et&#xa0;al., 2024</xref>), and patients with CRE-BSI demonstrate significantly higher mortality (<xref ref-type="bibr" rid="B15">de Araujo et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B43">Trecarichi and Tumbarello, 2017</xref>), making it a critical clinical threat.</p>
<p>CRE develops antibiotic resistance through several mechanisms, with the production of carbapenemases&#x2014;enzymes that degrade carbapenem antibiotics&#x2014;being the primary mechanism (<xref ref-type="bibr" rid="B33">Lutgring and Limbago, 2016</xref>). Carbapenemases are primarily categorized into three classes. Class A features enzymes like the Klebsiella pneumoniae carbapenemase (KPC); Class B comprises metallo-&#x3b2;-lactamases, including the New Delhi metallo-&#x3b2;-lactamase (NDM) and imipenemase (IMP); and Class D is represented by oxacillinases, such as OXA-48. Antibiotic resistance in CRE is also mediated by two other mechanisms: the overexpression of efflux pumps and mutations in outer membrane proteins. KPC carbapenemase is widely found in the United States and Europe (<xref ref-type="bibr" rid="B2">Albiger et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B24">Iovleva and Doi, 2017</xref>), NDM carbapenemase is most commonly found in Indian, Romania, Spain, and Hungary (<xref ref-type="bibr" rid="B45">van Duin and Doi, 2017</xref>; <xref ref-type="bibr" rid="B50">Yong et&#xa0;al., 2009</xref>), and OXA-48-like carbapenemase is found in Turkey and surrounding countries (<xref ref-type="bibr" rid="B45">van Duin and Doi, 2017</xref>). In China, KPC-2 was the most prevalent carbapenemase among CRE strains isolated from adult patients (70.3%), and NDM among the CRE strains isolated from children (49.0%) (<xref ref-type="bibr" rid="B20">Han et&#xa0;al., 2020</xref>). Carbapenemase-encoding genes are often harbored on mobile genetic elements like plasmids, which facilitates their transfer between bacteria, significantly accelerating the spread of carbapenem resistance. Although novel antibiotics, such as ceftazidime-avibactam, have been used to treat CRE infection, they remain ineffective against NDM-producing CRE (<xref ref-type="bibr" rid="B1">Abe et&#xa0;al., 2022</xref>). Therefore, identifying and intervening in the risk factors for CRE-BSI is crucial to reducing its incidence among hospitalized patients and ultimately improving clinical outcomes.</p>
<p>While a number of studies have explored risk factors associated with CRE infection, most have employed a case-control design with patients infected with carbapenem-susceptible <italic>Enterobacterales</italic> (CSE) as the control group. Directly comparing CRE cases to CSE may introduce selection bias, which can lead to the false identification of antibiotics as risk factors or an overestimation of the odds ratios of some antibiotics (<xref ref-type="bibr" rid="B3">Behar et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B22">Harris et&#xa0;al., 2002</xref>). To mitigate this bias, a case-case-control design was implemented, featuring two control groups: patients with CSE and those infected with non-<italic>Enterobacterales</italic> bacteria. This study sought to define risk factors for CRE-BSI, with the goal of informing clinical strategies for the early identification of high-risk patients and the implementation of timely measures.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design and patient population</title>
<p>We conducted a continuous 8-year, 1:1:1 matched case-case-control study at Tianjin Medical University General Hospital, a 2,468-bed tertiary care center in China, during which a total of 144 clinical CRE-BSI isolates were collected from January 2017 to December 2024 (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). According to the CDC, BSIs are classified by the isolation of pathogenic organisms from blood culture tests (<xref ref-type="bibr" rid="B4">Calandra and Cohen, 2005</xref>). Only the first isolate per patient was included. Nosocomial infections for all groups (CRE, CSE, and control) were defined as those identified &#x2265;48 h after admission.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of sample selection, comparison and value. From 4441 samples, a total of 144 CRE-BSI isolates were selected for further analysis. A matched CSE-BSI group and control group were used to analyze the risk factors for CRE-BSI and CSE-BSI, then the risk factors of <italic>Enterobacterales</italic>-BSI were obtained. The risk factors for 30-day mortality of CRE-BSI were also analyzed. According to the final outcome of hospitalized patients, the 144 CRE-BSI isolates were divided into survivors and death to analyze the risk factors for in-hospital mortality. CRE, carbapenem-resistant <italic>Enterobacterales</italic>; CSE, carbapenem-susceptible <italic>Enterobacterales</italic>; CDC, Centers for Disease Control and Prevention; NHSN, National Healthcare Safety Network. BSI, bloodstream infection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1734801-g001.tif">
<alt-text content-type="machine-generated">Flowchart of Enterobacterales bloodstream infections (BSI) from 2017 to 2024. It shows the selection process of carbapenem-resistant (CRE-BSI) and carbapenem-susceptible (CSE-BSI) cases, highlighting exclusions and match criteria. Different paths lead to risk factor analysis and mortality outcomes. CRE-BSI starts with 547 cases, narrowed down to 144 for analysis, matched with controls. CSE-BSI involves 144 cases, followed by risk and mortality analysis, with final outcomes showing survivors and non-survivors.</alt-text>
</graphic></fig>
<p>Case groups were defined as hospitalized patients with CRE-BSI or CSE-BSI. Key exclusion criteria included: (1) infection onset before or within 48 hours of admission, (2) polymicrobial BSI, (3) recurrent infection; (4) incomplete medical records, and (5) absence of a matched CSE-BSI.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Case and control selection</title>
<p>This case-case-control study assessed the risk factors and outcomes associated with CRE-BSI (<xref ref-type="bibr" rid="B27">Kaye et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B35">Ng et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B51">Zhou et&#xa0;al., 2024</xref>). This study employed two case-control comparisons, matching CRE-BSI and CSE-BSI inpatients to a common control group.</p>
<p>The CRE group included inpatients with a positive blood culture for <italic>Enterobacterales</italic> resistant to any of the carbapenems (imipenem, meropenem, or ertapenem).</p>
<p>The CSE group consisted of inpatients with bacteremia caused by <italic>Enterobacterales</italic> susceptible to all these carbapenems.</p>
<p>The control group comprised inpatients with confirmed bacteremia from non-<italic>Enterobacterales</italic> pathogens, including Gram-positive bacteria, Gram-negative bacteria such as <italic>Acinetobacter baumannii, Pseudomonas aeruginosa</italic>, and <italic>stenotrophomonas maltophilia</italic>, as well as fungi.</p>
<p>In our case-case-control study, we adopted a 1:1:1 matched design (CRE: CSE: control) based on admission to the same hospital ward and during the same period (within 1 month) as the CRE-BSI group. When multiple eligible controls (CSE-BSI or control groups) were available, one was selected per case using a computer-generated random number sequence, and unmatched isolates were excluded.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Antimicrobial susceptibility testing</title>
<p>We performed blood cultures using the Bactec&#x2122; FX 50 system (Becton Dickinson, USA). Isolate identification was carried out by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (BioM&#xe9;rieux, France), and antimicrobial susceptibility testing was conducted on the Vitek 2-compact system (BioM&#xe9;rieux, France). All susceptibility results were interpreted based on Clinical and Laboratory Standards Institute standards (CLSI-M100) (<xref ref-type="bibr" rid="B13">CLSI, 2023</xref>), with <italic>E. coli</italic> ATCC 25922 and <italic>Pseudomonas aeruginosa</italic> ATCC 27853 serving as control strains.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Data collection</title>
<p>Medical records and collected patient information were reviewed as previous reported (<xref ref-type="bibr" rid="B29">Kong et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B35">Ng et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B40">Stuever et&#xa0;al., 2022</xref>). The following clinical information was collected from the medical records of three patient groups: demographics (sex, age, department, previous hospitalization, intensive care unit [ICU] admission, length of hospital stays [LOS], Acute Physiology and Chronic Health Evaluation II [APACHE II] and Sequential Organ Failure Assessment [SOFA] scores), clinical characteristics (comorbidities, microbiological characteristics, mortality), antimicrobial exposure (third&#x2013;generation cephalosporins, carbapenems, &#x3b2;-lactam inhibitor compounds, aminoglycosides, quinolones, tigecycline, and so on), within 3 months before a positive blood culture. Additional data including surgical history, invasive procedures (mechanical ventilation, various catheters and drainage tubes), within 1 month before a positive blood culture.</p>
<p>All comorbidities and underlying conditions were based on clinically confirmed diagnoses. These included disorders of the respiratory, hepatobiliary, urinary, cardiovascular, digestive, and central nervous systems, as well as diabetes mellitus and malignancies, among others.</p>
<p>Antibiotic exposure was treated as a binary variable (yes/no), defined by any documented administration in the 3 months before bacteremia onset. This included outpatient prescriptions, inpatient regimens initiated after admission but before BSI, and prophylactic courses.</p>
<p>The primary clinical outcomes were assessed by: 30-day mortality (death within 30 days of the first positive blood culture), in-hospital mortality (death occurring during the hospitalization following the first positive blood culture), and LOS (from admission to discharge).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>All statistical analyses were performed with SPSS 26.0 (IBM Corporation). Continuous data were assessed for normality using the Shapiro-Wilk test. Based on the distribution, Numerical data were presented as mean &#xb1; standard deviation (SD) and were compared using Student&#x2019;s t-test (for two groups); Numerical data were reported as median with interquartile range (IQR) and were compared using the Mann-Whitney U test (for two groups) or the Kruskal-Wallis H test (for three groups). Categorical variables, expressed as numbers and percentages, were compared using the chi-square or Fisher&#x2019;s exact test, as appropriate. We calculated the p-values, odds ratios (OR), and corresponding 95% confidence intervals (95% CI) for all variables. Variables demonstrating statistical significance (two-tailed p &#x2264; 0.05) in the univariate analysis were advanced to a multivariable logistic regression model. Survival on 30 days was plotted as Kaplan&#x2013;Meier curves and compared using the Cox proportional hazards modeling. Assessment of the proportional hazards assumption using Schoenfeld residuals confirmed the validity of the Cox model (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>, global test p = 0.44). A p-value of &#x2264; 0.05 was defined as statistically significant, and we assessed the final independent risk factors for multicollinearity. All figures were generated using GraphPad Prism10.0.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Assessment of the proportional hazards assumption via Schoenfeld residuals.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable name</th>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="left">Chis q</th>
<th valign="middle" align="left">df</th>
<th valign="middle" align="left">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Group</td>
<td valign="middle" align="left">group</td>
<td valign="middle" align="left">0.128443</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.720052</td>
</tr>
<tr>
<td valign="middle" align="left">Sex</td>
<td valign="middle" align="left">sex</td>
<td valign="middle" align="left">0.184673</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.667387</td>
</tr>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="left">age</td>
<td valign="middle" align="left">2.1567</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.141949</td>
</tr>
<tr>
<td valign="middle" align="left">Age65</td>
<td valign="middle" align="left">age65</td>
<td valign="middle" align="left">0.591275</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.441926</td>
</tr>
<tr>
<td valign="middle" align="left">Respiratory diseases</td>
<td valign="middle" align="left">A1</td>
<td valign="middle" align="left">2.209116</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.137197</td>
</tr>
<tr>
<td valign="middle" align="left">Hepatobiliary diseases</td>
<td valign="middle" align="left">A2</td>
<td valign="middle" align="left">0.000653</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.979608</td>
</tr>
<tr>
<td valign="middle" align="left">Urinary system diseases</td>
<td valign="middle" align="left">A3</td>
<td valign="middle" align="left">1.524198</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.216985</td>
</tr>
<tr>
<td valign="middle" align="left">Circulatory diseases</td>
<td valign="middle" align="left">A4</td>
<td valign="middle" align="left">0.026684</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.87024</td>
</tr>
<tr>
<td valign="middle" align="left">Digestive system diseases</td>
<td valign="middle" align="left">A6</td>
<td valign="middle" align="left">1.357945</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.243894</td>
</tr>
<tr>
<td valign="middle" align="left">Diabetes mellitus</td>
<td valign="middle" align="left">A7</td>
<td valign="middle" align="left">0.146324</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.702073</td>
</tr>
<tr>
<td valign="middle" align="left">Low immunity</td>
<td valign="middle" align="left">A9</td>
<td valign="middle" align="left">0.257604</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.611771</td>
</tr>
<tr>
<td valign="middle" align="left">3rd-generation Cephalosporin</td>
<td valign="middle" align="left">A11</td>
<td valign="middle" align="left">1.878115</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.170549</td>
</tr>
<tr>
<td valign="middle" align="left">&#x3b2;-lactam inhibitor</td>
<td valign="middle" align="left">A12</td>
<td valign="middle" align="left">0.049002</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.824809</td>
</tr>
<tr>
<td valign="middle" align="left">Aminoglycosides</td>
<td valign="middle" align="left">A13</td>
<td valign="middle" align="left">2.544748</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.110662</td>
</tr>
<tr>
<td valign="middle" align="left">Quinolones</td>
<td valign="middle" align="left">A14</td>
<td valign="middle" align="left">0.548313</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.459008</td>
</tr>
<tr>
<td valign="middle" align="left">Macrolides</td>
<td valign="middle" align="left">A16</td>
<td valign="middle" align="left">0.084675</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.771059</td>
</tr>
<tr>
<td valign="middle" align="left">Antifungal drugs</td>
<td valign="middle" align="left">A18</td>
<td valign="middle" align="left">0.450931</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.501893</td>
</tr>
<tr>
<td valign="middle" align="left">Surgical history</td>
<td valign="middle" align="left">A21</td>
<td valign="middle" align="left">0.513654</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.473562</td>
</tr>
<tr>
<td valign="middle" align="left">Mechanical ventilation</td>
<td valign="middle" align="left">A22</td>
<td valign="middle" align="left">2.404558</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.120982</td>
</tr>
<tr>
<td valign="middle" align="left">Arterial catheters</td>
<td valign="middle" align="left">A24</td>
<td valign="middle" align="left">1.992796</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.158049</td>
</tr>
<tr>
<td valign="middle" align="left">Drainage tube insertion</td>
<td valign="middle" align="left">A26</td>
<td valign="middle" align="left">0.266614</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.605612</td>
</tr>
<tr>
<td valign="middle" align="left">Gastric tube insertion</td>
<td valign="middle" align="left">A27</td>
<td valign="middle" align="left">1.72867</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.188581</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">GLOBAL</td>
<td valign="middle" align="left">22.28574</td>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">0.442948</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Clinical and demographic profiles of patients with CRE-BSI (2017-2024)</title>
<p>Over the eight-year study period, 144 patients with CRE-BSI were identified and subsequently matched to 144 patients with CSE-BSI and 144 controls with non-<italic>Enterobacterales</italic> bacteremia. The majority of CRE-BSI cases (46%; 66/144) were treated in the ICU, while 40% (58/144) and 14% (20/144) were admitted to general medical and surgical wards, respectively.</p>
<p>The percentage of <italic>Enterobacterales</italic> in the positive blood culture fluctuated between 31% and 41% from 2017 to 2024. The percentages of CRE-BSI in <italic>Enterobacterales</italic> bloodstream infection from 2017 to 2024 were 2.6, 5.5, 12.5, 12.3, 14.3, 10.1, 13.9, and 10.1%, respectively, increasing from 2.6% to 14.3% and then dropping to 10.1% (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). Additionally, the in-hospital mortality was significantly higher in patients with CRE-BSI than in those with CSE-BSI (52.8% vs. 24.3%, p &lt; 0.001). From 2017 to 2024, the in-hospital mortality of CRE-BSI exhibited a fluctuating trend, rising from 36.4% to a peak of 62.1% before declining to 47.6% (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). As shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>, which presents the annual number and proportion of CRE-BSI cases, the majority of strains were isolated in 2019 and 2023.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p><bold>(a)</bold> Trends in prevalence and mortality of <italic>Enterobacterale</italic> bloodstream infection. <bold>(b)</bold> The proportion and number (black) of CRE-BSI strains isolated over the 8-year study period. CRE, carbapenem-resistant Enterobacterale; CSE, carbapenem-susceptible Enterobacterale; BSI, bloodstream infection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1734801-g002.tif">
<alt-text content-type="machine-generated">Line graph and pie chart showing data from 2017 to 2024. The line graph (a) displays trends in percentages of Enterobacterales in blood samples, CRE to Enterobacterales, CRE-BSI, and CSE-BSI mortalities. The pie chart (b) represents the distribution of data points across these years with percentages: 2017 (7.6%), 2018 (11.8%), 2019 (20.1%), 2020 (20.1%), 2021 (12.5%), 2022 (14.7%), 2023 (7.6%), and 2024 (5.6%), totaling 144.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Antimicrobial susceptibility of CRE-BSI and CSE-BSI</title>
<p>Among the 144 CRE isolates, <italic>Klebsiella pneumoniae</italic> (KP) was&#xa0;the predominant species (81.9%, 118/144), followed by <italic>E.&#xa0;coli</italic>&#xa0;(10.4%, 15/144). The results of the antimicrobial susceptibility testing are summarized in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>. The CRE isolates exhibited extremely high resistance to most agents. Resistance rates were 100% to cefuroxime, ceftriaxone, and piperacillin/tazobactam; over 89% to ceftazidime, cefepime, amoxicillin/clavulanic acid, cefoperazone/sulbactam, aztreonam, gentamicin, ciprofloxacin, and levofloxacin. Resistance was lower to amikacin (60.4%), tigecycline (23.6%), and colistin (1.4%). Compared to CSE isolates, CRE isolates demonstrated significantly higher resistance rates across most antimicrobial classes (p &lt; 0.001).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The antibiotic resistance of CRE-BSI and CSE-BSI groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Antibiotics</th>
<th valign="middle" align="center">CRE-BSI(n=144)</th>
<th valign="middle" align="center">CSE-BSI(n=144)</th>
<th valign="middle" align="center">&#x3c7;<sup>2</sup></th>
<th valign="middle" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Amoxicillin/clavulanic acid</td>
<td valign="middle" align="center">142/144(98.6%)</td>
<td valign="middle" align="center">13/144(9.0%)</td>
<td valign="middle" align="center">232.5</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Cefoperazone/sulbactam</td>
<td valign="middle" align="center">138/144(95.8%)</td>
<td valign="middle" align="center">5/144(3.5%)</td>
<td valign="middle" align="center">245.7</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Piperacillin/tazobactam</td>
<td valign="middle" align="center">144/144(100%)</td>
<td valign="middle" align="center">6/144(4.2%)</td>
<td valign="middle" align="center">265.0</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Cefuroxime</td>
<td valign="middle" align="center">144/144(100%)</td>
<td valign="middle" align="center">63/144(43.8%)</td>
<td valign="middle" align="center">112.7</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Ceftazidime</td>
<td valign="middle" align="center">141/144(97.9%)</td>
<td valign="middle" align="center">24/144(16.7%)</td>
<td valign="middle" align="center">194.3</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Ceftriaxone</td>
<td valign="middle" align="center">144/144(100%)</td>
<td valign="middle" align="center">60/144(41.7%)</td>
<td valign="middle" align="center">118.6</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Cefepime</td>
<td valign="middle" align="center">141/144(97.9%)</td>
<td valign="middle" align="center">34/144(23.6%)</td>
<td valign="middle" align="center">166.7</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Aztreonam</td>
<td valign="middle" align="center">135/144(93.8%)</td>
<td valign="middle" align="center">34/144(23.6%)</td>
<td valign="middle" align="center">146.1</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Amikacin</td>
<td valign="middle" align="center">87/144(60.4%)</td>
<td valign="middle" align="center">2/144(1.4%)</td>
<td valign="middle" align="center">117.5</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Gentamicin</td>
<td valign="middle" align="center">129/144(89.6%)</td>
<td valign="middle" align="center">46/144(31.9%)</td>
<td valign="middle" align="center">100.3</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Tobramycin</td>
<td valign="middle" align="center">95/144(65.9%)</td>
<td valign="middle" align="center">14/144(9.7%)</td>
<td valign="middle" align="center">96.8</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Ciprofloxacin</td>
<td valign="middle" align="center">130/144(90.3%)</td>
<td valign="middle" align="center">77/144(53.5%)</td>
<td valign="middle" align="center">48.2</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Levofloxacin</td>
<td valign="middle" align="center">132/144(91.7%)</td>
<td valign="middle" align="center">58/144(40.3%)</td>
<td valign="middle" align="center">84.7</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Trimethoprim/<break/>sulfamethoxazole</td>
<td valign="middle" align="center">81/144(56.3%)</td>
<td valign="middle" align="center">62/144(43.1%)</td>
<td valign="middle" align="center">5.01</td>
<td valign="middle" align="center">0.03</td>
</tr>
<tr>
<td valign="middle" align="left">Colistin</td>
<td valign="middle" align="center">2/144(1.4)</td>
<td valign="middle" align="center">0/144(0)</td>
<td valign="middle" align="center">2.01</td>
<td valign="middle" align="center">0.16</td>
</tr>
<tr>
<td valign="middle" align="left">Tigecycline</td>
<td valign="middle" align="center">34/144(23.6)</td>
<td valign="middle" align="center">5/144(3.5)</td>
<td valign="middle" align="center">24.9</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRE, carbapenem-resistant <italic>Enterobacterales</italic>; CSE, carbapenem-susceptible <italic>Enterobacterales</italic>; BSI, bloodstream infection. Statistical test: the chi-square test.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Comparison of the CRE-BSI group to the control group</title>
<p>The baseline demographic and clinical characteristics of the three patient groups are summarized in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>. The groups were similar in terms of gender, age, APACHE II, and SOFA scores. However, significant differences were observed in prior hospital stays (H&#xa0;=&#xa0;44.16, p &lt; 0.001), ICU stays (H&#xa0;=&#xa0;22.53, p &lt; 0.001), and LOS (H&#xa0;=&#xa0;12.52, p = 0.002).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Demographic characteristics for 144 patients with CRE-BSI, 144 patients with CSE-BSI and 144 control patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">CRE-BSI (N = 144) (n, %)</th>
<th valign="middle" align="center">CSE-BSI (N = 144) (n, %)</th>
<th valign="middle" align="center">Control (N = 144) (n, %)</th>
<th valign="middle" align="center">&#x3c7;<sup>2</sup>/H</th>
<th valign="middle" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Sex, male</td>
<td valign="middle" align="center">89(61.8)</td>
<td valign="middle" align="center">87(60.4)</td>
<td valign="middle" align="center">74(51.4)</td>
<td valign="middle" align="center">3.78</td>
<td valign="middle" align="center">0.15</td>
</tr>
<tr>
<td valign="middle" align="left">Age (years), median (IQR)</td>
<td valign="middle" align="center">67.5(55.5, 80)</td>
<td valign="middle" align="center">68.5(55, 79)</td>
<td valign="middle" align="center">70(57, 81)</td>
<td valign="middle" align="center">1.56</td>
<td valign="middle" align="center">0.46</td>
</tr>
<tr>
<td valign="middle" align="left">Age&gt;65</td>
<td valign="middle" align="center">81(56.3)</td>
<td valign="middle" align="center">84(58.3)</td>
<td valign="middle" align="center">90(62.5)</td>
<td valign="middle" align="center">1.21</td>
<td valign="middle" align="center">0.55</td>
</tr>
<tr>
<td valign="middle" align="left">APACHII</td>
<td valign="middle" align="center">22(14, 25)</td>
<td valign="middle" align="center">12(2.5, 23.5)</td>
<td valign="middle" align="center">18(2.94, 23)</td>
<td valign="middle" align="center">5.17</td>
<td valign="middle" align="center">0.08</td>
</tr>
<tr>
<td valign="middle" align="left">SOFA</td>
<td valign="middle" align="center">9(5.5, 11.25)</td>
<td valign="middle" align="center">9(5, 14)</td>
<td valign="middle" align="center">9(5.5, 11.5)</td>
<td valign="middle" align="center">0.14</td>
<td valign="middle" align="center">0.93</td>
</tr>
<tr>
<td valign="middle" align="left">Prior hospital stays median (IQR)</td>
<td valign="middle" align="center">22(12, 42.5)</td>
<td valign="middle" align="center">10.5(4, 22)</td>
<td valign="middle" align="center">12(4, 25.75)</td>
<td valign="middle" align="center">44.16</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">ICU stays, median (IQR)</td>
<td valign="middle" align="center">9.5(0, 31)</td>
<td valign="middle" align="center">0(0, 7)</td>
<td valign="middle" align="center">0(0, 12)</td>
<td valign="middle" align="center">22.53</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LOS (days), median (IQR)</td>
<td valign="middle" align="center">41(20.25, 70)</td>
<td valign="middle" align="center">28(16.25, 48.75)</td>
<td valign="middle" align="center">32(14, 62.5)</td>
<td valign="middle" align="center">12.52</td>
<td valign="middle" align="center">0.002</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRE, carbapenem-resistant <italic>Enterobacterales</italic>; CSE, carbapenem-susceptible <italic>Enterobacterales</italic>; BSI, bloodstream infection; IQR, interquartile range; APACHII, Acute Physiology and Chronic Health Evaluation II; SOFA, Sequential Organ Failure Assessment; LOS, length of hospital stays. Statistical test: the chi-square test or Kruskal-Wallis H test.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Univariate analysis identified several significant risk factors for CRE-BSI compared to control patients (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). These included respiratory diseases (OR&#xa0;=&#xa0;1.96; 95%CI, 1.17-3.28; p = 0.01); liver diseases (OR&#xa0;=&#xa0;1.91; 95%CI, 1.20-3.06; p = 0.007); exposure within 3 months prior to bacteremia to specific antibiotics, including third-generation cephalosporins (OR&#xa0;=&#xa0;2.13; 95%CI, 1.29-3.50; p = 0.003), carbapenems (OR&#xa0;=&#xa0;4.82; 95%CI, 2.88-8.08; p &lt; 0.001), &#x3b2;-lactam inhibitor compounds (OR&#xa0;=&#xa0;2.04; 95%CI, 1.27-3.27; p = 0.003), quinolones (OR&#xa0;=&#xa0;1.96; 95%CI, 1.15-3.33; p = 0.01), glycopeptides (OR&#xa0;=&#xa0;7.65; 95%CI, 1.71-34.29; p = 0.002), tigecycline (OR&#xa0;=&#xa0;3.40; 95%CI, 1.90-6.09; p &lt; 0.001), and glucocorticoids (OR&#xa0;=&#xa0;3.45; 95%CI, 2.05-5.82; p &lt; 0.001); a history of surgery (OR&#xa0;=&#xa0;2.26; 95%CI, 1.40-3.66; p = 0.001), and invasive procedures within 1 month prior to bacteremia, including mechanical ventilation (OR&#xa0;=&#xa0;2.75; 95%CI, 1.70-4.45; p &lt; 0.001), central venous catheter insertion (OR&#xa0;=&#xa0;2.57; 95%CI, 1.57-4.21; p &lt; 0.001), drainage tube insertion (OR&#xa0;=&#xa0;2.25; 95%CI, 1.25-4.06; p = 0.006), urinary catheter insertion (OR&#xa0;=&#xa0;2.23; 95%CI, 1.37-3.63; p = 0.001), and gastric tube insertion (OR&#xa0;=&#xa0;2.48; 95%CI, 1.54-3.99; p &lt; 0.001). Additionally, longer prior hospital stays (p &lt; 0.001), ICU stays (p = 0.001), and LOS (p = 0.02) were significantly associated with CRE-BSI.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate analyses regarding the risk factors for CRE-BSI compared to control patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">CRE-BSI (N = 144) (n, %)</th>
<th valign="middle" align="center">Control (N = 144) (n, %)</th>
<th valign="middle" align="center">&#x3c7;<sup>2</sup>/U</th>
<th valign="middle" align="center">OR</th>
<th valign="middle" colspan="2" align="center">95%CI <italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Underlying disorder</th>
</tr>
<tr>
<td valign="middle" align="left">Respiratory diseases</td>
<td valign="middle" align="center">111(77.1)</td>
<td valign="middle" align="center">91(63.2)</td>
<td valign="middle" align="center">6.63</td>
<td valign="middle" align="center">1.96</td>
<td valign="middle" align="center">(1.17, 3.28)</td>
<td valign="middle" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="left">Hepatobiliary diseases</td>
<td valign="middle" align="center">89(61.8)</td>
<td valign="middle" align="center">66(45.8)</td>
<td valign="middle" align="center">7.39</td>
<td valign="middle" align="center">1.91</td>
<td valign="middle" align="center">(1.20, 3.06)</td>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<td valign="middle" align="left">Urinary system diseases</td>
<td valign="middle" align="center">73(50.7)</td>
<td valign="middle" align="center">62(43.1)</td>
<td valign="middle" align="center">1.69</td>
<td valign="middle" align="center">1.36</td>
<td valign="middle" align="center">(0.86, 2.16)</td>
<td valign="middle" align="center">0.19</td>
</tr>
<tr>
<td valign="middle" align="left">Circulatory diseases</td>
<td valign="middle" align="center">100(69.4)</td>
<td valign="middle" align="center">97(67.4)</td>
<td valign="middle" align="center">0.15</td>
<td valign="middle" align="center">1.10</td>
<td valign="middle" align="center">(0.67, 1.81)</td>
<td valign="middle" align="center">0.70</td>
</tr>
<tr>
<td valign="middle" align="left">Central nervous diseases</td>
<td valign="middle" align="center">51(35.4)</td>
<td valign="middle" align="center">48(33.3)</td>
<td valign="middle" align="center">0.14</td>
<td valign="middle" align="center">1.10</td>
<td valign="middle" align="center">(0.67, 1.78)</td>
<td valign="middle" align="center">0.71</td>
</tr>
<tr>
<td valign="middle" align="left">Digestive system diseases</td>
<td valign="middle" align="center">39(27.1)</td>
<td valign="middle" align="center">33(22.9)</td>
<td valign="middle" align="center">0.67</td>
<td valign="middle" align="center">1.25</td>
<td valign="middle" align="center">(0.73, 2.13)</td>
<td valign="middle" align="center">0.41</td>
</tr>
<tr>
<td valign="middle" align="left">Diabetes mellitus</td>
<td valign="middle" align="center">41(28.5)</td>
<td valign="middle" align="center">39(27.1)</td>
<td valign="middle" align="center">0.07</td>
<td valign="middle" align="center">1.07</td>
<td valign="middle" align="center">(0.64, 1.80)</td>
<td valign="middle" align="center">0.79</td>
</tr>
<tr>
<td valign="middle" align="left">Malignancy</td>
<td valign="middle" align="center">39(27.1)</td>
<td valign="middle" align="center">28(19.4)</td>
<td valign="middle" align="center">2.35</td>
<td valign="middle" align="center">1.54</td>
<td valign="middle" align="center">(0.89, 2.67)</td>
<td valign="middle" align="center">0.13</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Antibiotics exposure within 3 months prior to CRE-BSI</th>
</tr>
<tr>
<td valign="middle" align="left">third-generation Cephalosporin</td>
<td valign="middle" align="center">61(42.4)</td>
<td valign="middle" align="center">37(25.7)</td>
<td valign="middle" align="center">8.91</td>
<td valign="middle" align="center">2.13</td>
<td valign="middle" align="center">(1.29, 3.50)</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="middle" align="left">&#x3b2;-lactam inhibitor</td>
<td valign="middle" align="center">93(64.6)</td>
<td valign="middle" align="center">68(47.2)</td>
<td valign="middle" align="center">8.80</td>
<td valign="middle" align="center">2.04</td>
<td valign="middle" align="center">(1.27, 3.27)</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="middle" align="left">Carbapenem</td>
<td valign="middle" align="center">82(56.9)</td>
<td valign="middle" align="center">31(21.5)</td>
<td valign="middle" align="center">37.88</td>
<td valign="middle" align="center">4.82</td>
<td valign="middle" align="center">(2.88, 8.08)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Aminoglycosides</td>
<td valign="middle" align="center">10(6.9)</td>
<td valign="middle" align="center">9(6.3)</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">1.12</td>
<td valign="middle" align="center">(0.44, 2.84)</td>
<td valign="middle" align="center">0.81</td>
</tr>
<tr>
<td valign="middle" align="left">Quinolones</td>
<td valign="middle" align="center">49(34.0)</td>
<td valign="middle" align="center">30(20.8)</td>
<td valign="middle" align="center">6.30</td>
<td valign="middle" align="center">1.96</td>
<td valign="middle" align="center">(1.15, 3.33)</td>
<td valign="middle" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="left">Tigecycline</td>
<td valign="middle" align="center">51(35.4)</td>
<td valign="middle" align="center">20(13.9)</td>
<td valign="middle" align="center">17.96</td>
<td valign="middle" align="center">3.40</td>
<td valign="middle" align="center">(1.90, 6.09)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Glycopeptides</td>
<td valign="middle" align="center">14(9.7)</td>
<td valign="middle" align="center">2(1.4)</td>
<td valign="middle" align="center">9.53</td>
<td valign="middle" align="center">7.65</td>
<td valign="middle" align="center">(1.71, 34.29)</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">Glucocorticoid</td>
<td valign="middle" align="center">67(46.5)</td>
<td valign="middle" align="center">29(20.1)</td>
<td valign="middle" align="center">22.56</td>
<td valign="middle" align="center">3.45</td>
<td valign="middle" align="center">(2.05, 5.82)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Surgical history and invasive procedures within 1 month prior to CRE-BSI</th>
</tr>
<tr>
<td valign="middle" align="left">Surgical history</td>
<td valign="middle" align="center">73(50.7)</td>
<td valign="middle" align="center">45(31.3)</td>
<td valign="middle" align="center">11.26</td>
<td valign="middle" align="center">2.26</td>
<td valign="middle" align="center">(1.40, 3.66)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Mechanical ventilation</td>
<td valign="middle" align="center">80(55.6)</td>
<td valign="middle" align="center">45(31.3)</td>
<td valign="middle" align="center">17.32</td>
<td valign="middle" align="center">2.75</td>
<td valign="middle" align="center">(1.70, 4.45)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Central venous catheter insertion</td>
<td valign="middle" align="center">106(73.6)</td>
<td valign="middle" align="center">75(52.1)</td>
<td valign="middle" align="center">14.29</td>
<td valign="middle" align="center">2.57</td>
<td valign="middle" align="center">(1.57, 4.21)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Arterial catheters</td>
<td valign="middle" align="center">70(48.6)</td>
<td valign="middle" align="center">56(39.2)</td>
<td valign="middle" align="center">2.60</td>
<td valign="middle" align="center">1.47</td>
<td valign="middle" align="center">(0.92, 2.35)</td>
<td valign="middle" align="center">0.11</td>
</tr>
<tr>
<td valign="middle" align="left">Urinary catheter insertion</td>
<td valign="middle" align="center">102(71.3)</td>
<td valign="middle" align="center">76(52.8)</td>
<td valign="middle" align="center">10.48</td>
<td valign="middle" align="center">2.23</td>
<td valign="middle" align="center">(1.37, 3.63)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Drainage tube insertion</td>
<td valign="middle" align="center">40(27.8)</td>
<td valign="middle" align="center">21(14.6)</td>
<td valign="middle" align="center">7.51</td>
<td valign="middle" align="center">2.25</td>
<td valign="middle" align="center">(1.25, 4.06)</td>
<td valign="middle" align="center">0.006</td>
</tr>
<tr>
<td valign="middle" align="left">Gastric tube insertion</td>
<td valign="middle" align="center">93(64.6)</td>
<td valign="middle" align="center">61(42.4)</td>
<td valign="middle" align="center">14.29</td>
<td valign="middle" align="center">2.48</td>
<td valign="middle" align="center">(1.54, 3.99)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Related to hospitalization</th>
</tr>
<tr>
<td valign="middle" align="left">Prior hospital stays median (IQR)</td>
<td valign="middle" align="center">22(12, 42.5)</td>
<td valign="middle" align="center">12(4, 25.75)</td>
<td valign="middle" align="center">6872</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">ICU stay, median (IQR)</td>
<td valign="middle" align="center">9.5(0, 31)</td>
<td valign="middle" align="center">0(0, 12)</td>
<td valign="middle" align="center">8117</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LOS (days), median (IQR)</td>
<td valign="middle" align="center">41(20.25, 70)</td>
<td valign="middle" align="center">32(14, 62.5)</td>
<td valign="middle" align="center">8768</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.02</td>
</tr>
<tr>
<td valign="middle" align="left">Death</td>
<td valign="middle" align="center">76(52.8)</td>
<td valign="middle" align="center">33(22.9)</td>
<td valign="middle" align="center">27.29</td>
<td valign="middle" align="center">3.76</td>
<td valign="middle" align="center">(2.26, 6.25)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRE, carbapenem-resistant <italic>Enterobacterales</italic>; ICU, intensive care unit; IQR, interquartile range; LOS, length of hospital stays; &#x2014;, no result. Statistical test: the chi-square test or Mann-Whitney U test.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Multivariate analysis identified the following independent risk factors for CRE-BSI (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>): exposure within 3 months prior to bacteremia to third-generation cephalosporins (OR&#xa0;=&#xa0;1.94; 95%CI, 1.09-3.46; p = 0.03), carbapenems (OR&#xa0;=&#xa0;3.45; 95%CI, 1.94-6.11; p&#xa0;&lt;&#xa0;0.001), quinolones (OR&#xa0;=&#xa0;2.54; 95%CI, 1.36-4.75; p = 0.004), and glucocorticoids (OR&#xa0;=&#xa0;2.55; 95%CI, 1.42-4.59; p = 0.002); a history of surgery (OR&#xa0;=&#xa0;2.44; 95%CI, 1.38-4.33; p = 0.002), and gastric tube insertion within 1 month prior to bacteremia (OR&#xa0;=&#xa0;2.45; 95% CI, 1.40&#x2013;4.29; p = 0.002).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Multivariate analyses regarding the independent risk factors for CRE-BSI and CSE-BSI compared to control group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">&#x3b2;</th>
<th valign="middle" align="center">SE</th>
<th valign="middle" align="center">Wald (&#x3c7;<sup>2</sup>)</th>
<th valign="middle" align="center"><italic>OR</italic></th>
<th valign="middle" align="center">95%<italic>CI</italic></th>
<th valign="middle" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">CRE-BSI cases vs control group</th>
</tr>
<tr>
<td valign="middle" align="left">Carbapenem</td>
<td valign="middle" align="center">1.24</td>
<td valign="middle" align="center">0.29</td>
<td valign="middle" align="center">17.93</td>
<td valign="middle" align="center">3.45</td>
<td valign="middle" align="center">1.94~6.11</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">3rd-generation Cephalosporin</td>
<td valign="middle" align="center">0.66</td>
<td valign="middle" align="center">0.30</td>
<td valign="middle" align="center">5.02</td>
<td valign="middle" align="center">1.94</td>
<td valign="middle" align="center">1.09~3.46</td>
<td valign="middle" align="center">0.03</td>
</tr>
<tr>
<td valign="middle" align="left">Quinolones</td>
<td valign="middle" align="center">0.93</td>
<td valign="middle" align="center">0.32</td>
<td valign="middle" align="center">8.52</td>
<td valign="middle" align="center">2.54</td>
<td valign="middle" align="center">1.36~4.75</td>
<td valign="middle" align="center">0.004</td>
</tr>
<tr>
<td valign="middle" align="left">Glucocorticoids</td>
<td valign="middle" align="center">0.94</td>
<td valign="middle" align="center">0.30</td>
<td valign="middle" align="center">9.81</td>
<td valign="middle" align="center">2.55</td>
<td valign="middle" align="center">1.42~4.59</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">Surgical history</td>
<td valign="middle" align="center">0.89</td>
<td valign="middle" align="center">0.29</td>
<td valign="middle" align="center">9.36</td>
<td valign="middle" align="center">2.44</td>
<td valign="middle" align="center">1.38~4.33</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">Gastric tube insertion</td>
<td valign="middle" align="center">0.90</td>
<td valign="middle" align="center">0.29</td>
<td valign="middle" align="center">9.91</td>
<td valign="middle" align="center">2.54</td>
<td valign="middle" align="center">1.40~4.29</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">CSE-BSI cases vs control group</th>
</tr>
<tr>
<td valign="middle" align="left">Malignancy</td>
<td valign="middle" align="center">0.65</td>
<td valign="middle" align="center">0.28</td>
<td valign="middle" align="center">5.33</td>
<td valign="middle" align="center">1.90</td>
<td valign="middle" align="center">1.10~3.29</td>
<td valign="middle" align="center">0.02</td>
</tr>
<tr>
<td valign="middle" align="left">Surgical history</td>
<td valign="middle" align="center">0.57</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">5.28</td>
<td valign="middle" align="center">1.77</td>
<td valign="middle" align="center">1.09~2.89</td>
<td valign="middle" align="center">0.02</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Death vs survivors in CRE-BSI group</th>
</tr>
<tr>
<td valign="middle" align="left">Arterial catheters</td>
<td valign="middle" align="center">0.92</td>
<td valign="middle" align="center">0.34</td>
<td valign="middle" align="center">7.11</td>
<td valign="middle" align="center">2.50</td>
<td valign="middle" align="center">1.27~4.89</td>
<td valign="middle" align="center">0.008</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRE, carbapenem-resistant <italic>Enterobacterales</italic>; CSE, carbapenem-susceptible <italic>Enterobacterales;</italic> BSI, bloodstream infection. Statistical test: multivariable logistic regression analysis.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Comparison of the CSE-BSI group to the control group</title>
<p>Univariate analysis of patients with CSE-BSI versus control patients (<xref ref-type="table" rid="T6"><bold>Table&#xa0;6</bold></xref>) identified malignancies and surgical history (within 1 month before bacteremia) as significant factors. These were subsequently confirmed as independent risk factors in the&#xa0;multivariate model: malignancies (OR&#xa0;=&#xa0;1.90; 95%CI, 1.10-3.29; p = 0.02) and surgical history (OR&#xa0;=&#xa0;1.77; 95%CI, 1.09-2.89; p&#xa0;= 0.02) (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Univariate analyses regarding the risk factors for CSE-BSI compared to control group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">CSE-BSI (N = 105) (n, %)</th>
<th valign="middle" align="center">Control (N = 105) (n, %)</th>
<th valign="middle" align="center">&#x3c7;<sup>2</sup>/U</th>
<th valign="middle" align="center">OR</th>
<th valign="middle" colspan="2" align="center">95%CI <italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Underlying disorder</th>
</tr>
<tr>
<td valign="middle" align="left">Respiratory diseases</td>
<td valign="middle" align="center">82(56.9)</td>
<td valign="middle" align="center">91(63.2)</td>
<td valign="middle" align="center">1.17</td>
<td valign="middle" align="center">0.77</td>
<td valign="middle" align="center">(0.48, 1.24)</td>
<td valign="middle" align="center">0.28</td>
</tr>
<tr>
<td valign="middle" align="left">Hepatobiliary diseases</td>
<td valign="middle" align="center">78(54.2)</td>
<td valign="middle" align="center">66(45.8)</td>
<td valign="middle" align="center">2.00</td>
<td valign="middle" align="center">1.40</td>
<td valign="middle" align="center">(0.88, 2.22)</td>
<td valign="middle" align="center">0.16</td>
</tr>
<tr>
<td valign="middle" align="left">Urinary system diseases</td>
<td valign="middle" align="center">64(44.4)</td>
<td valign="middle" align="center">62(43.1)</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">1.06</td>
<td valign="middle" align="center">(0.66, 1.69)</td>
<td valign="middle" align="center">0.81</td>
</tr>
<tr>
<td valign="middle" align="left">Circulatory diseases</td>
<td valign="middle" align="center">88(61.1)</td>
<td valign="middle" align="center">97(67.4)</td>
<td valign="middle" align="center">1.22</td>
<td valign="middle" align="center">0.76</td>
<td valign="middle" align="center">(0.47, 1.24)</td>
<td valign="middle" align="center">0.27</td>
</tr>
<tr>
<td valign="middle" align="left">Central nervous diseases</td>
<td valign="middle" align="center">51(35.4)</td>
<td valign="middle" align="center">48(33.3)</td>
<td valign="middle" align="center">0.14</td>
<td valign="middle" align="center">1.10</td>
<td valign="middle" align="center">(0.67, 1.78)</td>
<td valign="middle" align="center">0.71</td>
</tr>
<tr>
<td valign="middle" align="left">Digestive system diseases</td>
<td valign="middle" align="center">21(14.6)</td>
<td valign="middle" align="center">33(22.9)</td>
<td valign="middle" align="center">3.28</td>
<td valign="middle" align="center">0.57</td>
<td valign="middle" align="center">(0.31, 1.05)</td>
<td valign="middle" align="center">0.07</td>
</tr>
<tr>
<td valign="middle" align="left">Diabetes mellitus</td>
<td valign="middle" align="center">43(29.9)</td>
<td valign="middle" align="center">39(27.1)</td>
<td valign="middle" align="center">0.27</td>
<td valign="middle" align="center">1.15</td>
<td valign="middle" align="center">(0.69, 1.91)</td>
<td valign="middle" align="center">0.60</td>
</tr>
<tr>
<td valign="middle" align="left">Malignancy</td>
<td valign="middle" align="center">48(33.3)</td>
<td valign="middle" align="center">28 (19.4)</td>
<td valign="middle" align="center">7.15</td>
<td valign="middle" align="center">2.07</td>
<td valign="middle" align="center">(1.21, 3.55)</td>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Antibiotics exposure within 3 months prior to CSE-BSI</th>
</tr>
<tr>
<td valign="middle" align="left">third-generation Cephalosporin</td>
<td valign="middle" align="center">30(20.8)</td>
<td valign="middle" align="center">37(25.7)</td>
<td valign="middle" align="center">0.95</td>
<td valign="middle" align="center">0.76</td>
<td valign="middle" align="center">(0.44, 1.32)</td>
<td valign="middle" align="center">0.33</td>
</tr>
<tr>
<td valign="middle" align="left">&#x3b2;-lactam inhibitor</td>
<td valign="middle" align="center">62(43.1)</td>
<td valign="middle" align="center">68(47.2)</td>
<td valign="middle" align="center">0.51</td>
<td valign="middle" align="center">0.85</td>
<td valign="middle" align="center">(0.53, 1.35)</td>
<td valign="middle" align="center">0.48</td>
</tr>
<tr>
<td valign="middle" align="left">Carbapenem</td>
<td valign="middle" align="center">24(16.7)</td>
<td valign="middle" align="center">31(21.5)</td>
<td valign="middle" align="center">1.10</td>
<td valign="middle" align="center">0.73</td>
<td valign="middle" align="center">(0.40 ,1.32)</td>
<td valign="middle" align="center">0.29</td>
</tr>
<tr>
<td valign="middle" align="left">Aminoglycosides</td>
<td valign="middle" align="center">6(4.2)</td>
<td valign="middle" align="center">9(6.3)</td>
<td valign="middle" align="center">0.63</td>
<td valign="middle" align="center">0.65</td>
<td valign="middle" align="center">(0.23, 1.88)</td>
<td valign="middle" align="center">0.43</td>
</tr>
<tr>
<td valign="middle" align="left">Quinolones</td>
<td valign="middle" align="center">29(20.1)</td>
<td valign="middle" align="center">30(20.8)</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">0.96</td>
<td valign="middle" align="center">(0.54, 1.70)</td>
<td valign="middle" align="center">0.88</td>
</tr>
<tr>
<td valign="middle" align="left">Tigecycline</td>
<td valign="middle" align="center">19(13.2)</td>
<td valign="middle" align="center">20(13.9)</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">0.94</td>
<td valign="middle" align="center">(0.48, 1.85)</td>
<td valign="middle" align="center">0.86</td>
</tr>
<tr>
<td valign="middle" align="left">Glycopeptides</td>
<td valign="middle" align="center">7(4.9)</td>
<td valign="middle" align="center">2(1.4)</td>
<td valign="middle" align="center">2.87</td>
<td valign="middle" align="center">3.63</td>
<td valign="middle" align="center">(0.74, 17.77)</td>
<td valign="middle" align="center">0.09</td>
</tr>
<tr>
<td valign="middle" align="left">Glucocorticoid</td>
<td valign="middle" align="center">27(18.8)</td>
<td valign="middle" align="center">29(20.1)</td>
<td valign="middle" align="center">0.09</td>
<td valign="middle" align="center">0.92</td>
<td valign="middle" align="center">(0.51, 1.64)</td>
<td valign="middle" align="center">0.77</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Surgical history and invasive procedures within 1 month prior to CSE-BSI</th>
</tr>
<tr>
<td valign="middle" align="left">Surgical history</td>
<td valign="middle" align="center">67(46.5)</td>
<td valign="middle" align="center">45(31.3)</td>
<td valign="middle" align="center">7.07</td>
<td valign="middle" align="center">1.91</td>
<td valign="middle" align="center">(1.18, 3.10)</td>
<td valign="middle" align="center">0.008</td>
</tr>
<tr>
<td valign="middle" align="left">Mechanical ventilation</td>
<td valign="middle" align="center">50(34.7)</td>
<td valign="middle" align="center">45(31.3)</td>
<td valign="middle" align="center">0.39</td>
<td valign="middle" align="center">1.17</td>
<td valign="middle" align="center">(0.72, 1.91)</td>
<td valign="middle" align="center">0.53</td>
</tr>
<tr>
<td valign="middle" align="left">Central venous catheter insertion</td>
<td valign="middle" align="center">80(55.6)</td>
<td valign="middle" align="center">75(52.1)</td>
<td valign="middle" align="center">0.35</td>
<td valign="middle" align="center">1.15</td>
<td valign="middle" align="center">(0.72, 1.83)</td>
<td valign="middle" align="center">0.56</td>
</tr>
<tr>
<td valign="middle" align="left">Arterial catheters</td>
<td valign="middle" align="center">54(37.5)</td>
<td valign="middle" align="center">56(39.2)</td>
<td valign="middle" align="center">0.08</td>
<td valign="middle" align="center">0.93</td>
<td valign="middle" align="center">(0.58, 1.50)</td>
<td valign="middle" align="center">0.77</td>
</tr>
<tr>
<td valign="middle" align="left">Urinary catheter insertion</td>
<td valign="middle" align="center">81(56.3)</td>
<td valign="middle" align="center">76(52.8)</td>
<td valign="middle" align="center">0.35</td>
<td valign="middle" align="center">1.15</td>
<td valign="middle" align="center">(0.72, 1.83)</td>
<td valign="middle" align="center">0.55</td>
</tr>
<tr>
<td valign="middle" align="left">Drainage tube insertion</td>
<td valign="middle" align="center">30(20.8)</td>
<td valign="middle" align="center">21(14.6)</td>
<td valign="middle" align="center">1.93</td>
<td valign="middle" align="center">1.54</td>
<td valign="middle" align="center">(0.84, 2.85)</td>
<td valign="middle" align="center">0.17</td>
</tr>
<tr>
<td valign="middle" align="left">Gastric tube insertion</td>
<td valign="middle" align="center">64(44.4)</td>
<td valign="middle" align="center">61(42.4)</td>
<td valign="middle" align="center">0.13</td>
<td valign="middle" align="center">1.09</td>
<td valign="middle" align="center">(0.68, 1.74)</td>
<td valign="middle" align="center">0.72</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Related to hospitalization</th>
</tr>
<tr>
<td valign="middle" align="left">Prior hospital stays median (IQR)</td>
<td valign="middle" align="center">10.5(4, 22)</td>
<td valign="middle" align="center">12(4, 25.5)</td>
<td valign="middle" align="center">9629</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.29</td>
</tr>
<tr>
<td valign="middle" align="left">ICU stay, median (IQR)</td>
<td valign="middle" align="center">0(0, 7)</td>
<td valign="middle" align="center">0(0, 12)</td>
<td valign="middle" align="center">9723</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.31</td>
</tr>
<tr>
<td valign="middle" align="left">LOS (days), median (IQR)</td>
<td valign="middle" align="center">28(16.25, 48.75)</td>
<td valign="middle" align="center">32(14, 62.5)</td>
<td valign="middle" align="center">9684</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.33</td>
</tr>
<tr>
<td valign="middle" align="left">Death</td>
<td valign="middle" align="center">35(24.3)</td>
<td valign="middle" align="center">33(22.9)</td>
<td valign="middle" align="center">0.08</td>
<td valign="middle" align="center">1.08</td>
<td valign="middle" align="center">(0.63, 1.86)</td>
<td valign="middle" align="center">0.78</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CSE, carbapenem-susceptible <italic>Enterobacterales</italic>; BSI, bloodstream infection; ICU, intensive care unit; LOS, length of hospital stays; IQR, interquartile range; &#x2014;, no result. Statistical test: the chi-square test or Mann-Whitney U test.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Prognostic analysis of CRE-BSI</title>
<p>Prognostic outcomes differed significantly among the three groups. The 30-day mortality was highest in the CRE-BSI group (25.7%), compared to the CSE-BSI (16.0%) and control (12.5%) groups (p = 0.01). This trend was more pronounced for in-hospital mortality, which was 52.8% of patients in the CRE-BSI group, significantly higher than in the CSE-BSI (28.6%) and control (24.8%) groups (p &lt; 0.001). The three groups also differed significantly in LOS (p = 0.002). Detailed prognostic data are shown in <xref ref-type="table" rid="T7"><bold>Table&#xa0;7</bold></xref>, and Kaplan-Meier survival curves are presented in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Clinical outcomes comparison between the CRE-BSI group, the CSE-BSI group and the control group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Outcomes</th>
<th valign="middle" align="center">CRE-BSI [n (%)]</th>
<th valign="middle" align="center">CSE-BSI [n (%)]</th>
<th valign="middle" align="center">Control [n (%)]</th>
<th valign="middle" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">30-day mortality</td>
<td valign="middle" align="center">37(25.7)</td>
<td valign="middle" align="center">23(16.0)</td>
<td valign="middle" align="center">18(12.5)</td>
<td valign="middle" align="center">0.02</td>
</tr>
<tr>
<td valign="middle" align="left">In-hospital mortality</td>
<td valign="middle" align="center">76(52.8)</td>
<td valign="middle" align="center">35(24.3)</td>
<td valign="middle" align="center">33(22.9)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LOS (days), median (IQR)</td>
<td valign="middle" align="center">41(20.25, 70)</td>
<td valign="middle" align="center">28(16.25, 48.75)</td>
<td valign="middle" align="center">32(14, 62.5)</td>
<td valign="middle" align="center">0.002</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRE, carbapenem-resistant <italic>Enterobacterales</italic>; CSE, carbapenem-susceptible <italic>Enterobacterales</italic>; BSI, bloodstream infection; LOS, length of hospital stays; IQR, interquartile range. Statistical test: the chi-square test or Kruskal-Wallis H test.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Kaplan&#x2013;meier curves showing 30-day mortality in the three groups (p=0.02). There was significant difference between the CRE-BSI group and the CSE-BSI group (p=0.04), and there was a significant difference between the CRE-BSI group and the control group (p=0.005), but there was no significant difference between the CSE-BSI group and the control group (p=0.4). CRE, carbapenem-resistant <italic>Enterobacterales</italic>; CSE, carbapenem-susceptible <italic>Enterobacterales</italic>; BSI, bloodstream infection; ns: no significant difference; * represents p &lt; 0.05; ** represents p &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1734801-g003.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curve showing cumulative survival over 30 days for groups CRE-BSI (orange), CSE-BSI (purple), and Control (blue). CRE-BSI has significantly lower survival than both CSE-BSI and Control. Significance indicated by asterisks: one for p&lt;0.05 and two for p&lt;0.01. The purple curve is not significantly different from the blue one. Vertical bars represent standard errors.</alt-text>
</graphic></fig>
<p>Cox proportional hazards modeling analysis identified the following independent risk factors for 30-day mortality: patient group (HR = 1.37; 95% CI, 1.01&#x2013;1.86; p = 0.04), age &#x2265; 65 years (HR = 0.43; 95% CI, 0.20&#x2013;0.93; p = 0.03), respiratory diseases (HR = 3.17; 95% CI, 1.54&#x2013;6.51; p = 0.002), and digestive system diseases (HR = 1.79; 95% CI, 1.03&#x2013;3.10; p = 0.04). Furthermore, analysis of the CRE-BSI group revealed that in-hospital mortality was associated with arterial catheter use (OR&#xa0;=&#xa0;2.50; 95%CI, 1.27-4.89; p = 0.007), ICU stays (p = 0.008), and LOS (p = 0.04) in univariate analysis (<xref ref-type="table" rid="T8"><bold>Table&#xa0;8</bold></xref>). Multivariate analysis confirmed arterial catheter use (OR&#xa0;=&#xa0;2.50; 95%CI, 1.27-4.89; p = 0.008) within 1 month before bacteremia as an independent risk factor for in-hospital mortality in patients with CRE-BSI (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>).</p>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>Univariable analyses of in-hospital mortality in the CRE group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">CRE-BSI death (N = 76) (n, %)</th>
<th valign="middle" align="center">CRE-BSI survivors (N = 68) (n, %)</th>
<th valign="middle" align="center">&#x3c7;<sup>2</sup>/ t/U</th>
<th valign="middle" align="center">OR</th>
<th valign="middle" colspan="2" align="center">95%CI p</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Demographic characteristics</th>
</tr>
<tr>
<td valign="middle" align="left">Sex, male</td>
<td valign="middle" align="center">46(60.5)</td>
<td valign="middle" align="center">43(63.2)</td>
<td valign="middle" align="center">0.11</td>
<td valign="middle" align="center">0.89</td>
<td valign="middle" align="center">(0.45, 1.75)</td>
<td valign="middle" align="center">0.74</td>
</tr>
<tr>
<td valign="middle" align="left">Age(years), mean &#xb1; SD</td>
<td valign="middle" align="center">65.7 &#xb1; 19.6</td>
<td valign="middle" align="center">64.6 &#xb1; 16.7</td>
<td valign="middle" align="center">0.34</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.74</td>
</tr>
<tr>
<td valign="middle" align="left">Age&gt;65</td>
<td valign="middle" align="center">41(53.9)</td>
<td valign="middle" align="center">40(58.8)</td>
<td valign="middle" align="center">0.35</td>
<td valign="middle" align="center">0.82</td>
<td valign="middle" align="center">(0.42, 1.59)</td>
<td valign="middle" align="center">0.56</td>
</tr>
<tr>
<td valign="middle" align="left">APACHII, mean &#xb1; SD</td>
<td valign="middle" align="center">12 &#xb1; 23.8</td>
<td valign="middle" align="center">3 &#xb1; 19</td>
<td valign="middle" align="center">0.82</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.43</td>
</tr>
<tr>
<td valign="middle" align="left">SOFA, mean &#xb1; SD</td>
<td valign="middle" align="center">11 &#xb1; 9</td>
<td valign="middle" align="center">3 &#xb1; 9.3</td>
<td valign="middle" align="center">0.10</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.92</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Underlying disorder</th>
</tr>
<tr>
<td valign="middle" align="left">Respiratory diseases</td>
<td valign="middle" align="center">63(82.9)</td>
<td valign="middle" align="center">48(70.6)</td>
<td valign="middle" align="center">3.08</td>
<td valign="middle" align="center">2.02</td>
<td valign="middle" align="center">(0.91, 4.46)</td>
<td valign="middle" align="center">0.08</td>
</tr>
<tr>
<td valign="middle" align="left">Hepatobiliary diseases</td>
<td valign="middle" align="center">49(64.5)</td>
<td valign="middle" align="center">40(58.8)</td>
<td valign="middle" align="center">0.49</td>
<td valign="middle" align="center">1.27</td>
<td valign="middle" align="center">(0.65, 2.49)</td>
<td valign="middle" align="center">0.49</td>
</tr>
<tr>
<td valign="middle" align="left">Urinary system diseases</td>
<td valign="middle" align="center">42(55.3)</td>
<td valign="middle" align="center">31(45.6)</td>
<td valign="middle" align="center">1.34</td>
<td valign="middle" align="center">1.47</td>
<td valign="middle" align="center">(0.76, 2.85)</td>
<td valign="middle" align="center">0.25</td>
</tr>
<tr>
<td valign="middle" align="left">Circulatory diseases</td>
<td valign="middle" align="center">53(69.7)</td>
<td valign="middle" align="center">47(69.1)</td>
<td valign="middle" align="center">0.006</td>
<td valign="middle" align="center">1.03</td>
<td valign="middle" align="center">(0.51, 2.09)</td>
<td valign="middle" align="center">0.94</td>
</tr>
<tr>
<td valign="middle" align="left">Central nervous diseases</td>
<td valign="middle" align="center">31(40.8)</td>
<td valign="middle" align="center">20(29.4)</td>
<td valign="middle" align="center">2.03</td>
<td valign="middle" align="center">1.65</td>
<td valign="middle" align="center">(0.83, 3.31)</td>
<td valign="middle" align="center">0.15</td>
</tr>
<tr>
<td valign="middle" align="left">Digestive system diseases</td>
<td valign="middle" align="center">21(27.6)</td>
<td valign="middle" align="center">18(26.5)</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">1.06</td>
<td valign="middle" align="center">(0.51, 2.22)</td>
<td valign="middle" align="center">0.88</td>
</tr>
<tr>
<td valign="middle" align="left">Diabetes mellitus</td>
<td valign="middle" align="center">24(31.6)</td>
<td valign="middle" align="center">17(25.0)</td>
<td valign="middle" align="center">0.76</td>
<td valign="middle" align="center">1.39</td>
<td valign="middle" align="center">(0.67, 2.88)</td>
<td valign="middle" align="center">0.38</td>
</tr>
<tr>
<td valign="middle" align="left">Malignancy</td>
<td valign="middle" align="center">19(25.0)</td>
<td valign="middle" align="center">20(29.4)</td>
<td valign="middle" align="center">0.35</td>
<td valign="middle" align="center">0.80</td>
<td valign="middle" align="center">(0.38, 1.67)</td>
<td valign="middle" align="center">0.55</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Antibiotics exposure within 3 months prior to CRE-BSI</th>
</tr>
<tr>
<td valign="middle" align="left">third-generation Cephalosporin</td>
<td valign="middle" align="center">33(43.4)</td>
<td valign="middle" align="center">28(41.2)</td>
<td valign="middle" align="center">0.07</td>
<td valign="middle" align="center">1.10</td>
<td valign="middle" align="center">(0.57, 2.13)</td>
<td valign="middle" align="center">0.79</td>
</tr>
<tr>
<td valign="middle" align="left">&#x3b2;-lactam inhibitor</td>
<td valign="middle" align="center">54(71.1)</td>
<td valign="middle" align="center">39(57.4)</td>
<td valign="middle" align="center">2.95</td>
<td valign="middle" align="center">1.83</td>
<td valign="middle" align="center">(0.92, 3.64)</td>
<td valign="middle" align="center">0.09</td>
</tr>
<tr>
<td valign="middle" align="left">Carbapenem</td>
<td valign="middle" align="center">46(60.5)</td>
<td valign="middle" align="center">36(52.9)</td>
<td valign="middle" align="center">0.84</td>
<td valign="middle" align="center">1.36</td>
<td valign="middle" align="center">(0.70, 2.64)</td>
<td valign="middle" align="center">0.36</td>
</tr>
<tr>
<td valign="middle" align="left">Quinolones</td>
<td valign="middle" align="center">29(38.2)</td>
<td valign="middle" align="center">20(29.4)</td>
<td valign="middle" align="center">1.22</td>
<td valign="middle" align="center">1.48</td>
<td valign="middle" align="center">(0.74, 2.97)</td>
<td valign="middle" align="center">0.27</td>
</tr>
<tr>
<td valign="middle" align="left">Tigecycline</td>
<td valign="middle" align="center">32(42.1)</td>
<td valign="middle" align="center">19(27.9)</td>
<td valign="middle" align="center">3.15</td>
<td valign="middle" align="center">1.88</td>
<td valign="middle" align="center">(0.93, 3.77)</td>
<td valign="middle" align="center">0.08</td>
</tr>
<tr>
<td valign="middle" align="left">Glycopeptides</td>
<td valign="middle" align="center">9(11.8)</td>
<td valign="middle" align="center">5(7.4)</td>
<td valign="middle" align="center">0.82</td>
<td valign="middle" align="center">1.69</td>
<td valign="middle" align="center">(0.54, 5.32)</td>
<td valign="middle" align="center">0.36</td>
</tr>
<tr>
<td valign="middle" align="left">Glucocorticoid</td>
<td valign="middle" align="center">39(51.3)</td>
<td valign="middle" align="center">28(41.2)</td>
<td valign="middle" align="center">1.48</td>
<td valign="middle" align="center">1.51</td>
<td valign="middle" align="center">(0.78, 2.91)</td>
<td valign="middle" align="center">0.22</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Surgical history and invasive procedures within 1 month prior to CRE-BSI</th>
</tr>
<tr>
<td valign="middle" align="left">Surgical history</td>
<td valign="middle" align="center">35(46.1)</td>
<td valign="middle" align="center">38(55.9)</td>
<td valign="middle" align="center">1.39</td>
<td valign="middle" align="center">0.67</td>
<td valign="middle" align="center">(0.35, 1.30)</td>
<td valign="middle" align="center">0.24</td>
</tr>
<tr>
<td valign="middle" align="left">Mechanical ventilation</td>
<td valign="middle" align="center">46(60.5)</td>
<td valign="middle" align="center">34(50.0)</td>
<td valign="middle" align="center">1.61</td>
<td valign="middle" align="center">1.53</td>
<td valign="middle" align="center">(0.79, 2.97)</td>
<td valign="middle" align="center">0.20</td>
</tr>
<tr>
<td valign="middle" align="left">Central venous catheter insertion</td>
<td valign="middle" align="center">58(76.3)</td>
<td valign="middle" align="center">48(70.6)</td>
<td valign="middle" align="center">0.61</td>
<td valign="middle" align="center">1.34</td>
<td valign="middle" align="center">(0.64, 2.82)</td>
<td valign="middle" align="center">0.44</td>
</tr>
<tr>
<td valign="middle" align="left">Arterial catheters</td>
<td valign="middle" align="center">45(59.2)</td>
<td valign="middle" align="center">25(36.8)</td>
<td valign="middle" align="center">7.24</td>
<td valign="middle" align="center">2.50</td>
<td valign="middle" align="center">(1.27, 4.89)</td>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<td valign="middle" align="left">Urinary catheter insertion</td>
<td valign="middle" align="center">57(75.0)</td>
<td valign="middle" align="center">45(67.2)</td>
<td valign="middle" align="center">1.07</td>
<td valign="middle" align="center">1.47</td>
<td valign="middle" align="center">(0.71, 3.04)</td>
<td valign="middle" align="center">0.30</td>
</tr>
<tr>
<td valign="middle" align="left">Drainage tube insertion</td>
<td valign="middle" align="center">23(30.3)</td>
<td valign="middle" align="center">17(25.0)</td>
<td valign="middle" align="center">0.50</td>
<td valign="middle" align="center">1.30</td>
<td valign="middle" align="center">(0.62, 2.72)</td>
<td valign="middle" align="center">0.48</td>
</tr>
<tr>
<td valign="middle" align="left">Gastric tube insertion</td>
<td valign="middle" align="center">51(67.1)</td>
<td valign="middle" align="center">42(61.8)</td>
<td valign="middle" align="center">0.45</td>
<td valign="middle" align="center">1.26</td>
<td valign="middle" align="center">(0.64, 2.50)</td>
<td valign="middle" align="center">0.50</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Related to hospitalization</th>
</tr>
<tr>
<td valign="middle" align="left">Prior hospital stays median (IQR)</td>
<td valign="middle" align="center">23(12.5, 49)</td>
<td valign="middle" align="center">21.5(12, 34)</td>
<td valign="middle" align="center">2360</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.37</td>
</tr>
<tr>
<td valign="middle" align="left">ICU stays, median(IQR)</td>
<td valign="middle" align="center">14(0, 33.5)</td>
<td valign="middle" align="center">0(0, 26.5)</td>
<td valign="middle" align="center">1938</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.008</td>
</tr>
<tr>
<td valign="middle" align="left">LOS(days),median(IQR)</td>
<td valign="middle" align="center">33(18.25, 60.75)</td>
<td valign="middle" align="center">49.5(28, 84)</td>
<td valign="middle" align="center">2079</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.04</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Antimicrobial Therapy</th>
</tr>
<tr>
<td valign="middle" align="left">Untreated</td>
<td valign="middle" align="center">5(6.6)</td>
<td valign="middle" align="center">7(10.3)</td>
<td valign="middle" align="center">0.65</td>
<td valign="middle" align="center">0.61</td>
<td valign="middle" align="center">(0.19, 2.03)</td>
<td valign="middle" align="center">0.42</td>
</tr>
<tr>
<td valign="middle" align="left">Monotherapy with Tigecycline</td>
<td valign="middle" align="center">7(9.2)</td>
<td valign="middle" align="center">8(11.8)</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.76</td>
<td valign="middle" align="center">(0.26, 2.22)</td>
<td valign="middle" align="center">0.62</td>
</tr>
<tr>
<td valign="middle" align="left">Monotherapy with Colistin</td>
<td valign="middle" align="center">0(0)</td>
<td valign="middle" align="center">1(1.5)</td>
<td valign="middle" align="center">1.13</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">0.29</td>
</tr>
<tr>
<td valign="middle" align="left">Monotherapy without Tigecycline or Colistin</td>
<td valign="middle" align="center">28(36.8)</td>
<td valign="middle" align="center">22(32.4)</td>
<td valign="middle" align="center">0.32</td>
<td valign="middle" align="center">1.22</td>
<td valign="middle" align="center">(0.61, 2.43)</td>
<td valign="middle" align="center">0.57</td>
</tr>
<tr>
<td valign="middle" align="left">Combine therapy without Tigecycline or Colistin</td>
<td valign="middle" align="center">5(6.6)</td>
<td valign="middle" align="center">4(5.9)</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">1.13</td>
<td valign="middle" align="center">(0.29, 4.38)</td>
<td valign="middle" align="center">0.86</td>
</tr>
<tr>
<td valign="middle" align="left">Combine therapy with Tigecycline</td>
<td valign="middle" align="center">10(13.2)</td>
<td valign="middle" align="center">11(16.2)</td>
<td valign="middle" align="center">0.26</td>
<td valign="middle" align="center">0.79</td>
<td valign="middle" align="center">(0.31, 1.98)</td>
<td valign="middle" align="center">0.61</td>
</tr>
<tr>
<td valign="middle" align="left">Combine therapy with Colistin</td>
<td valign="middle" align="center">5(6.6)</td>
<td valign="middle" align="center">3(4.4)</td>
<td valign="middle" align="center">0.32</td>
<td valign="middle" align="center">1.53</td>
<td valign="middle" align="center">(0.35, 6.64)</td>
<td valign="middle" align="center">0.57</td>
</tr>
<tr>
<td valign="middle" align="left">Combine therapy with Tigecycline and Colistin</td>
<td valign="middle" align="center">4(5.3)</td>
<td valign="middle" align="center">5(7.4)</td>
<td valign="middle" align="center">0.27</td>
<td valign="middle" align="center">0.70</td>
<td valign="middle" align="center">(0.18, 2.72)</td>
<td valign="middle" align="center">0.61</td>
</tr>
<tr>
<td valign="middle" align="left">Ceftazidime/avibactam</td>
<td valign="middle" align="center">12(15.8)</td>
<td valign="middle" align="center">7(10.3)</td>
<td valign="middle" align="center">0.95</td>
<td valign="middle" align="center">1.63</td>
<td valign="middle" align="center">(0.60, 4.42)</td>
<td valign="middle" align="center">0.33</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SD, standard deviation; CRE, carbapenem-resistant <italic>Enterobacterales</italic>; BSI, bloodstream infection; APACHII, Acute Physiology and Chronic Health Evaluation II; SOFA, Sequential Organ Failure Assessment; LOS, length of hospital stays; IQR, interquartile range; &#x2014;, no result. Statistical test: Student's t-test, Mann-Whitney U test or the chi-square test.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Patients infected with CRE-BSI demonstrate increased morbidity and mortality, no effective antimicrobial treatment exists for these infections. Thus, identifying risk factors for CRE-BSI etiology and prognosis is essential for reducing incidence and informing optimal therapeutic strategies. The selection of an appropriate control group is critical for accurate assessment of risk factors for CRE-BSI. Using patients with CSE-BSI as controls, a practice common in previous studies, is methodologically problematic. This design inherently assumes a &#x201c;replacement scenario&#x201d; where patients are infected exclusively with either CRE or CSE, thereby failing to account for patients infected with other pathogens or those without infection. Patients with CSE constitute a minor fraction of all hospitalized cases and are thus not representative (<xref ref-type="bibr" rid="B21">Harris et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B23">Huang et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B26">Kaier and Frank, 2013</xref>). Furthermore, certain antibiotics may suppress or kill some CSE strains without affecting CRE strains. Consequently, the frequency of antibiotic use in CSE may be reduced, indirectly amplifying the risk factors for CRE (<xref ref-type="bibr" rid="B35">Ng et&#xa0;al., 2014</xref>). In addition, few studies employed patients without CRE infection as the control group, without distinguishing between susceptible and resistant groups, making it difficult to independently analyze the risk factors for <italic>Enterobacterales</italic> infection. This study employed a case-case-control design to comprehensively compare patient characteristics among those with CRE-BSI, CSE-BSI, and control group. It confirmed established risk factors while uniquely distinguishing those specific to carbapenem resistance from those common to <italic>Enterobacterales</italic> infection in general, thereby providing potential therapeutic options for CRE-BSI.</p>
<p>We found that Carbapenem-resistant <italic>Klebsiella pneumoniae</italic> was the predominant strain among cases with clinical BSI due to CRE (81.9%), which is slightly higher than that reported in other studies (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B49">Yan et&#xa0;al., 2020</xref>). CRE-BSI cases were most frequently identified in the ICU, with the hematology department being the second most common location. This distribution is attributed to the confined environment of the ICU, enhancing the risk of CRE transmission via airborne and contact transmission. Patients in the ICU often have severe comorbidities and require invasive procedures as well as treatment with broad-spectrum antibiotics, factors that contribute to an increased risk of CRE-BSI. Notably, patients with hematologic diseases have a unique vulnerability to CRE-BSI, characterized by prolonged hospital stays, broad-spectrum antibiotic use, chemotherapy, and immunodeficiency (<xref ref-type="bibr" rid="B16">de Souza et&#xa0;al., 2024</xref>).</p>
<p>Our findings demonstrate a markedly higher level of AMR in CRE-BSI compared to that in CSE-BSI. Given the high resistance of CRE-BSI to conventional antibiotics yet their preserved susceptibility to tigecycline and colistin, combination therapy emerges as the optimal strategy and should be tailored to the individual patient&#x2019;s condition.</p>
<p>Statistically significant factors identified in the multivariate analysis of both the CRE-BSI and CSE-BSI groups represent risk factors for <italic>Enterobacterales</italic>-BSI. In contrast, factors unique to the CRE-BSI analysis constitute specific risk factors for CRE-BSI. Similarly, factors significant only in the CSE-BSI analysis define specific risk factors for CSE-BSI (<xref ref-type="bibr" rid="B27">Kaye et&#xa0;al., 2005</xref>). Further, exposure to specific antibiotics (third-generation cephalosporins, carbapenems, and quinolones) and glucocorticoids, along with a history of surgery and gastric tube insertion, emerged as independent risk factors for CRE-BSI. In contrast, surgical history was established as an independent risk factor for <italic>Enterobacterales</italic>-BSI.</p>
<p>A systematic review and meta-analysis by Zhu et&#xa0;al. showed that common risk factors for CRE infection included severe underling diseases, prior antibiotic use (carbapenems, aminoglycosides, quinolones, vancomycin, glycopeptides), ICU admission, invasive procedures (central venous catheter use, mechanical ventilation, tracheostomy, urinary catheter use), and longer LOS (<xref ref-type="bibr" rid="B52">Zhu et&#xa0;al., 2020</xref>). We confirmed that antibiotics use, surgery history, and gastric tube insertion increased the risk of CRE infection, while identifying carbapenemase genes (notably blaKPC-2 and blaNDM) as the dominant resistance mechanism among CRE strains in China. Genes encoding carbapenemases are often located on mobile genetic elements, and exposure to carbapenems can promote the emergence of these resistance genes (<xref ref-type="bibr" rid="B20">Han et&#xa0;al., 2020</xref>). In contrast to some previous findings, our results demonstrated that third-generation cephalosporin use was a significant risk factor for CRE-BSI, this suggests a broader selective pressure for CRE, indicating that resistance can be promoted by exposure to non-carbapenem antibiotics. Thus, enhancing inpatient antibiotic stewardship and implementing high-dose therapy for a controlled duration is a superior strategy for limiting infection risk (<xref ref-type="bibr" rid="B25">Jeon et&#xa0;al., 2008</xref>). Although numerous studies have investigated the risk factors for CRE infection, prior use of quinolones is an independent risk factor remains unclear (<xref ref-type="bibr" rid="B38">Satlin et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B40">Stuever et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B53">Zuo et&#xa0;al., 2021</xref>). Exposure to quinolones promotes bacterial selective pressure, driving resistance not only to this drug class but also to carbapenems via multiple mechanisms. Quinolones can upregulate the expression of the MexEF-OprN efflux pump, triggering a deficiency in OprD&#x2014;an outer membrane porin&#x2014;which induces resistance to multiple antibiotics, including carbapenems (<xref ref-type="bibr" rid="B46">Wang et&#xa0;al., 2018</xref>). Furthermore, plasmids that mediate quinolone resistance may concurrently carry carbapenemase genes, such as KPC, further contributing to the emergence of carbapenem-resistant strains (<xref ref-type="bibr" rid="B52">Zhu et&#xa0;al., 2020</xref>). Unlike previous reports, our study indicated that exposure to glucocorticoid was a significant risk factor for CRE-BSI, possibly due to patients with CRE-BSI requiring glucocorticoid therapy for severe underlying diseases. By disrupting the intestinal microenvironment through eliminating susceptible bacteria and promoting resistant strains, glucocorticoid treatment thereby promotes the evolution of opportunistic microbes into pathogens. Therefore, strengthening antibiotic management measures and regular drug resistance monitoring are crucial for avoiding unnecessary antibiotic exposure. Surgical history was identified as a risk factor for CRE-BSI and <italic>Enterobacterales</italic>-BSI compared to control. Surgery often prolongs LOS, thereby increasing the risk for nosocomial infection. Furthermore, open wounds serve as portals that can elevate the risk of any type of infection (<xref ref-type="bibr" rid="B31">Lavigne et&#xa0;al., 2021</xref>), further highlighting the critical role of aseptic techniques in patient care. Gastric tube insertion, another significant risk factor, can provide a suitable place for CRE colonization, and can damage the gastrointestinal mucosa, thereby enhancing the potential for opportunistic bacterial invasion (<xref ref-type="bibr" rid="B42">Tischendorf et&#xa0;al., 2016</xref>). Furthermore, gastric tube insertion is often indicated for patients with gastrointestinal dysfunction and compromised nutritional status. This high-risk profile may promote bacterial translocation from the gut, thereby increasing susceptibility to pathogens such as CRE.</p>
<p>CRE are of epidemiological interest for their association with poor outcomes and ability to spread rapidly throughout hospitals (<xref ref-type="bibr" rid="B44">Van Duin et&#xa0;al., 2020</xref>). Patients with CRE-BSI demonstrated a significantly higher 30-day mortality than those with other infections. S Sabino et&#xa0;al. reported that the 30-day mortality for CRE-BSI was 63.8% (<xref ref-type="bibr" rid="B37">Sabino et&#xa0;al., 2019</xref>), which was higher than that in our study (25.7%). Several factors were independent risk factors for 30-day mortality, including patient group, age &#x2265; 65 years, respiratory diseases, and digestive system diseases. Several studies have reported that the overall mortality rate in patients with CRE-BSI ranged from 37% to 65%, and some studies have shown that CRE infection was an independent risk factor for mortality (<xref ref-type="bibr" rid="B28">Kedi&#x161;alet&#x161;e et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B32">Li and Ye, 2017</xref>; <xref ref-type="bibr" rid="B37">Sabino et&#xa0;al., 2019</xref>). Similarly, patients with CRE-BSI exhibited higher mortality and longer hospital stays in our study, consistent with a previous study (<xref ref-type="bibr" rid="B39">Strich et&#xa0;al., 2020</xref>), we observed that the 30-day mortality of CRE-BSI was frequently associated with underlying respiratory diseases in patients. Patients with respiratory diseases are susceptible to both airway colonization and subsequent CRE-BSI (Liu et&#xa0;al., 2012). Patients with CRE-BSI who died within 30 days were significantly&#xa0;older than survivors. Potential reasons for this may include more frequent healthcare exposure and antibiotic use among older adults. Patients with digestive system diseases&#x2014;who typically exhibit gastrointestinal dysfunction and compromised nutritional status&#x2014;may require gastric tube insertion. In critically&#xa0;ill patients, this procedure can damage the mucosal barrier, promote bacterial translocation from the gut, and&#xa0;thereby&#xa0;increase the risk of CRE-BSI (<xref ref-type="bibr" rid="B14">Correa et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B34">Munoz-Price et&#xa0;al., 2010</xref>). Thus, it is imperative to implement&#xa0;stricter infection prevention and control strategies to prevent transmission within hospitals and employ robust antimicrobial stewardship to ensure appropriate antibiotic use, thereby reducing the selection pressure for resistant organisms (<xref ref-type="bibr" rid="B36">Pallares et&#xa0;al., 2022</xref>).</p>
<p>Arterial catheterization emerged as a significant risk factor for&#xa0;in-hospital mortality among CRE-BSI patients. This finding&#xa0;reinforces that invasive procedures increase mortality by&#xa0;damaging the mucosal barrier and enabling bloodstream invasion, underscoring the necessity of aseptic technique for infection prevention.</p>
<p>Several studies have established CRE colonization as an independent risk factor for subsequent CRE infection. Therefore, it is essential to strengthen active screening for CRE to facilitate early detection, early isolation, and early intervention in high-risk departments and patients (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B41">Sun et&#xa0;al., 2021</xref>). However, the WHO and the US CDC recommend screening for CRE based on local epidemiological conditions (<xref ref-type="bibr" rid="B7">Centers for Disease Control and Prevention, 2015</xref>; <xref ref-type="bibr" rid="B47">World Health Organization, 2017</xref>). Nosocomial CRE-BSI cases in our hospital were concentrated in the ICU and among patients with specific risk factors, thus active CRE screening should be implemented for these high-risk departments and patient populations.</p>
<p>Clinical outcomes vary considerably among different antimicrobial regimens, and an effective therapeutic approach for&#xa0;CRE-BSI remains elusive. Studies have demonstrated that&#xa0;combination antimicrobial therapy is preferred over monotherapy, particularly in severely-ill patients (<xref ref-type="bibr" rid="B30">Kumar et&#xa0;al., 2010</xref>). In our study, no difference was observed between survivors and non-survivors with CRE-BSI treated with monotherapy and combination therapy, consistent with a previous study (<xref ref-type="bibr" rid="B48">Xiao et&#xa0;al., 2018</xref>). This is primarily attributable to the complex causes of mortality in patients with CRE-BSI and the lack of an optimal treatment regimen for CRE-BSI. In administering anti-infective therapy, clinicians should consider patients&#x2019; individual conditions (including underlying diseases) and their risk factors for mortality, to guide adequate early empirical antibiotic therapy&#x2014;a critical factor in reducing mortality.</p>
<p>This study is subject to several limitations. Its single-center, retrospective design may affect the generalizability of the findings&#xa0;and could introduce potential information and selection biases. Furthermore, the absence of carbapenemase gene detection means some carbapenem-susceptible carbapenemase-producing isolates may have been misclassified as CSE. Future studies employing molecular analyses will help draw more precise conclusions.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This matched case-case-control study delineated distinct risk factor profiles for bloodstream infections. Surgical history was established as an independent risk factor for <italic>Enterobacterales</italic>-BSI, while exposure to specific antibiotic classes (third-generation cephalosporins, carbapenems, and quinolones) and glucocorticoids, along with surgical history and gastric tube insertion, were independently associated with CRE-BSI. Furthermore, several factors predicted increased mortality, including CRE-BSI itself, respiratory diseases, age &#x2265; 65 years, digestive system diseases and arterial catheter are more likely to have higher mortality. Notably, no significant differences in outcomes were observed across various antimicrobial regimens. Consequently, early identification of these risk factors is crucial, and primary prevention strategies&#x2014;including antimicrobial stewardship, reduced hospitalization, and minimized invasive interventions&#x2014;are essential to reducing the incidence and mortality of CRE-BSI. These findings provide critical insights to guide effective antimicrobial therapy development and prevention of CRE-BSI.</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 study was reviewed and approved by the Ethical Committee of Tianjin Medical University General Hospital (No. IRB2025-YX-434-01). Informed consent was waived because this was a retrospectively study. We obtained all data from the Medical Records Room and we analyzed the data anonymously.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>HK: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Formal analysis, Methodology, Software. YoL: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Conceptualization. YW: Investigation, Data curation, Writing &#x2013; original draft. LY: Writing &#x2013; original draft, Data curation, Investigation. QC: Investigation, Writing &#x2013; original draft, Formal analysis. YaL: Writing &#x2013; original draft, Software, Methodology. ZD: Investigation, Writing &#x2013; original draft. ZH:&#xa0;Writing &#x2013; original draft, Supervision, Investigation. YC: Methodology, Writing &#x2013; original draft, Data curation. XW: Funding acquisition, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Methodology. HY: Writing &#x2013; original draft, Visualization, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<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 declared that this work 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 author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If&#xa0;you identify any issues, please contact us.</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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<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1388068">Mithun Rudrapal</ext-link>, Vignan&#x2019;s Foundation for Science, Technology and Research, India</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1991650">Sridhar Vemulapalli</ext-link>, University of Nebraska Medical Center, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2311353">Kratika Singh</ext-link>, Centre of Bio-Medical Research (CBMR), India</p></fn>
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