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<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2024.1404404</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical outcomes and risk factors for mortality in recipients with carbapenem-resistant gram-negative bacilli infections after kidney transplantation treated with ceftazidime-avibactam: a retrospective study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Fei</given-names>
</name>
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<sup>1</sup>
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<sup>2</sup>
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<sup>3</sup>
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<sup>&#x2020;</sup>
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<surname>Li</surname>
<given-names>Pengfei</given-names>
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<name>
<surname>Zhong</surname>
<given-names>Jinbiao</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>2</sup>
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<sup>3</sup>
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<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Ding</surname>
<given-names>Handong</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>2</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liao</surname>
<given-names>Guiyi</given-names>
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<sup>1</sup>
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<sup>2</sup>
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<sup>3</sup>
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<sup>*</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liang</surname>
<given-names>Chaozhao</given-names>
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<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>3</sup>
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<sup>*</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Urology, The First Affiliated Hospital of Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Urology, The First Affiliated Hospital of Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Anhui Province Key Laboratory of Urological and Andrological Diseases Research and Medical Transformation, Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Costas C. Papagiannitsis, University of Thessaly, Greece</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Gamze Kalin Unuvar, Erciyes University, T&#xfc;rkiye</p>
<p>Katerina Tsilipounidaki, University of Thessaly, Greece</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chaozhao Liang, <email xlink:href="mailto:liang_chaozhao@ahmu.edu.cn">liang_chaozhao@ahmu.edu.cn</email>; Guiyi Liao, <email xlink:href="mailto:liaoguiyi@ahmu.edu.cn">liaoguiyi@ahmu.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1404404</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Zhang, Li, Zhong, Ding, Liao and Liang</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhang, Li, Zhong, Ding, Liao and Liang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Ceftazidime-avibactam is a treatment option for carbapenem-resistant gram-negative bacilli (CR-GNB) infections. However, the risk factors associated with ceftazidime-avibactam (CAZ-AVI) treatment failure in kidney transplant (KT) recipients and the need for CAZ-AVI-based combination therapy remain unclear.</p>
</sec>
<sec>
<title>Methods</title>
<p>From June 2019 to December 2023, a retrospective observational study of KT recipients with CR-GNB infection treated with CAZ-AVI was conducted, with the primary outcome being 30-day mortality and secondary outcomes being clinical cure, microbiological cure, and safety. Risk factors for 30-day mortality and clinical failure were also investigated.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 81 KT recipients treated with CAZ-AVI were included in this study. Forty recipients (49.4%) received CAZ-AVI monotherapy, with a 30-day mortality of 22.2%. The clinical cure and microbiological cure rates of CAZ/AVI therapy were 72.8% and 66.7%, respectively. CAZ-AVI alone or in combination with other medications had no effect on clinical cure or 30-day mortality. Multivariate logistic regression analysis revealed that a higher Acute Physiology and Chronic Health Evaluation (APACHE) II score (odds ratio [OR]: 4.517; 95% confidence interval [CI]: 1.397-14.607; <italic>P</italic> = 0.012) was an independent risk factor for 30-day mortality. Clinical cure was positively associated with the administration of CAZ-AVI within 48 hours of infection onset (OR: 11.009; 95% CI: 1.344-90.197; <italic>P</italic>=0.025) and negatively associated with higher APACHE II scores (OR: 0.700; 95% CI: 0.555-0.882; <italic>P</italic>=0.002). Four (4.9%) recipients experienced recurrence within 90 days after the initial infection, 3 (3.7%) recipients experienced CAZ-AVI-related adverse events, and no CAZ-AVI resistance was identified.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>CAZ-AVI is an effective medication for treating CR-GNB infections following kidney transplantation, even as monotherapy. Optimization of CAZ/AVI therapy (used within 48 hours of infection onset) is positively associated with potential clinical benefit. Further larger-scale studies are needed to validate these findings.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Carbapenem-resistant gram-negative bacilli</kwd>
<kwd>ceftazidime-avibactam</kwd>
<kwd>kidney transplant</kwd>
<kwd>infections</kwd>
<kwd>carbapenem-resistant <italic>Klebsiella pneumoniae</italic>
</kwd>
</kwd-group>
<contract-sponsor id="cn001">Natural Science Foundation of Anhui Province<named-content content-type="fundref-id">10.13039/501100003995</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="10"/>
<word-count count="5069"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Clinical Microbiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>With the widespread use of carbapenem antibiotics in recent years, the isolation rate of carbapenem-resistant gram-negative bacilli (CR-GNB), primarily carbapenem-resistant Enterobacteriaceae (CRE), carbapenem-resistant <italic>Pseudomonas aeruginosa</italic> (CRPA) and carbapenem-resistant <italic>Acinetobacter baumannii</italic> (CRAB), has increased (<xref ref-type="bibr" rid="B6">Doi, 2019</xref>). Kidney transplant (KT) recipients are particularly vulnerable to CR-GNB infection due to factors such as severe surgical trauma and compromised immune function. These infections are often associated with high clinical failure, morbidity, and mortality due to limited treatment options (<xref ref-type="bibr" rid="B2">Bodro et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B41">Zhang et&#xa0;al., 2021</xref>). In China, the main antibiotics used to treat infections caused by these refractory isolates are aminoglycosides, polymyxin and tigecycline. However, concerns about their clinical efficacy, safety, and emerging resistance have limited their clinical use (<xref ref-type="bibr" rid="B19">Nang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B39">Yahav et&#xa0;al., 2021</xref>). Especially most of the above drugs are nephrotoxic, and considering the protection of transplanted kidney function, the use of these drugs is further limited in KT recipients. Clinically, the treatment options for CR-GNB infection following kidney transplantation are minimal, and new therapeutic approaches against these refractory pathogens are urgently needed.</p>
<p>Ceftazidime-avibactam (CAZ-AVI), a novel &#x3b2;-lactam/&#x3b2;-lactamase inhibitor, was approved by the China National Medical Products Administration on May 21, 2019, for the treatment of complicated abdominal and urinary tract infections, hospital-acquired, ventilator-associated pneumonia, and infections caused by aerobic gram-negative bacteria in adult patients with limited treatment options (<xref ref-type="bibr" rid="B33">van Duin and Bonomo, 2016</xref>; <xref ref-type="bibr" rid="B29">Torres et&#xa0;al., 2018</xref>). Avibactam is a novel synthetic &#x3b2;-lactamase inhibitor with activity against Ambler class A [extended-spectrum &#x3b2;-lactamases (ESBLs), <italic>Klebsiella pneumoniae</italic> carbapenemases (KPCs)], class C (AmpC), and some class D [oxacillinases (OXA) &#x3b2;-lactamases]. However, CAZ/AVI is inactive against class B metallo-&#x3b2;-lactamases (MBLs), such as New Delhi metallo-&#x3b2;-lactamase (NDM), Imipenemase (IMP), and Verona integron-encoded metallo-&#x3b2;-lactamase (VIM) (<xref ref-type="bibr" rid="B7">Falcone and Paterson, 2016</xref>).</p>
<p>Although some studies have indicated that CAZ-AVI treatment for CR-GNB infections is more effective than polymyxins and tigecycline (<xref ref-type="bibr" rid="B34">van Duin et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B8">Fang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B25">Shi et&#xa0;al., 2021</xref>), the risk factors associated with treatment failure of CAZ-AVI remain unclear, especially in this special population of KT recipients. Additionally, previous <italic>in vitro</italic> studies have demonstrated that CAZ-AVI, when used in combination with other drugs, exhibits high synergistic activity against CR-GNB (<xref ref-type="bibr" rid="B9">Gaibani et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B37">Wang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B42">Zhang et&#xa0;al., 2024</xref>). However, it is unclear whether this combination is beneficial. Therefore, we conducted a retrospective study to assess the risk factors for clinical failure and death in CR-GNB-infected KT recipients treated with CAZ-AVI, as well as the effect of combination therapy.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study design and population</title>
<p>This single-center retrospective observational study was conducted at a 4990-bed tertiary care teaching hospital in Hefei, Anhui Province, China. From June 2019 to December 2023, clinical data from KT recipients (aged &#x2265; 18 years) with CR-GNB infection who received CAZ-AVI treatment for &#x2265; 72 h at the First Affiliated Hospital of Anhui Medical University were analyzed retrospectively. The primary outcome was 30-day mortality, with clinical and microbiological cures as secondary outcomes. The primary safety measure was the occurrence of treatment-related adverse events or resistance during or after CAZ-AVI treatment. All kidneys were donated voluntarily by relatives or deceased citizens with written informed consent in accordance with the Istanbul Declaration. The present study was approved by our institutional Ethics Review Committee and was conducted according to the principles of the Declaration of Helsinki.</p>
</sec>
<sec id="s2_2">
<title>Data collection</title>
<p>The data were collected using the hospital&#x2019;s electronic medical records system. The data collected included demographic characteristics (age, sex, and weight), coexisting conditions, infection-related characteristics (severity at onset of infection and source of infection), microbiological data, and treatment characteristics. Only the first course of CAZ-AVI treatment was considered if the recipient received more than one course. The Acute Physiology and Chronic Health Evaluation II (APACHE II) (<xref ref-type="bibr" rid="B16">LeGall et&#xa0;al., 1986</xref>) and Sequential Organ Failure Assessment (SOFA) were used to assess severity at the onset of infection (<xref ref-type="bibr" rid="B36">Vincent et&#xa0;al., 1996</xref>).</p>
</sec>
<sec id="s2_3">
<title>Definition</title>
<p>The infection definition and classification standards used in the present study were those proposed by the Centers for Disease Control and Prevention (<xref ref-type="bibr" rid="B12">Horan et&#xa0;al., 2008</xref>). The date of infection onset was defined as the date of collection when the specimen became culture positive for the first time. The 30-day mortality was defined as all-cause mortality 30 days after the onset of infection. Clinical cure was defined as the resolution or significant improvement of the signs and symptoms of CR-GNB infection within 14 days of starting CAZ-AVI treatment. Clinical failure was defined as a failure to respond clinically and/or death. Microbiological cure was defined as the sterilization of site-specific cultures and/or blood cultures after treatment ended (the presence of a clinical cure in recipients without repeat samples was also considered a microbiological cure). Recurrence within 90 days of onset was defined as the occurrence of a second microbiologically confirmed CR-GNB infection in recipients whose initial infection was classified as clinically cured (with or without microbiologically confirmed). Combination therapy was defined as combining two or more antibiotics on a CAZ-AVI basis for at least 72 h, regardless of their <italic>in vitro</italic> activity. Salvage therapy was defined as treatment administered in the event of clinical failure of the first-line regimen or discontinuation of the first-line drug due to severe side effects (<xref ref-type="bibr" rid="B31">Tumbarello et&#xa0;al., 2019</xref>). Source control was defined as device removal or replacement in the event of urinary or vascular catheter infection or adequate drainage in the event of surgical site infection or abscess (<xref ref-type="bibr" rid="B5">Corbella et&#xa0;al., 2022</xref>).</p>
</sec>
<sec id="s2_4">
<title>Immunosuppressive regimen and use of antibiotics</title>
<p>During the perioperative period, all recipients were given triple immunosuppressive therapy (tacrolimus or cyclosporine + prednisone + mycophenolate mofetil), and anti-thymocyte globulin (ATG) was added to some recipients for induction. The standard dose of CAZ-AVI was 2.5 g (ceftazidime 2000 mg and avibactam 500 mg), which was administered intravenously every 8 h for more than 2 h. Dosage and administration were adjusted according to kidney function according to the manufacturer&#x2019;s recommendations (<xref ref-type="bibr" rid="B23">Rodr&#xed;guez-N&#xfa;&#xf1;ez et&#xa0;al., 2018</xref>).</p>
</sec>
<sec id="s2_5">
<title>Microbiology</title>
<p>Susceptibility testing was performed using the VITEK-2 system (Biomerieux, Marcy-l&#x2019; Etoile, France) and the disc diffusion method. The minimum inhibitory concentrations (MICs) were interpreted according to breakpoints established by The Clinical and Laboratory Standards Institute (CLSI). According to CLSI criteria, carbapenem resistance was defined as resistance to ertapenem (MIC &gt; 2 mg/ml) and resistance to imipenem or meropenem (MIC &gt; 4 mg/ml) (<xref ref-type="bibr" rid="B20">Clinical and Laboratory Standards Institute, 2018</xref>).</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>Statistical analysis was performed using SPSS software [Version 25.0; SPSS Inc., Chicago, IL, USA]. Continuous variables are presented as the mean &#xb1; standard deviation or median and interquartile range (IQR). Independent sample t tests and Mann&#x2013;Whitney U tests were used to compare normally distributed and nonnormally distributed continuous variables, respectively. Categorical variables are presented as absolute frequencies (%) and were compared using the chi-square test or Fisher&#x2019;s exact test if necessary. Variables with <italic>P</italic> values less than 0.1 in the univariable analysis were included in the multivariable analysis. Multivariate logistic regression analysis was used to identify independent risk factors for 30-day mortality and clinical cure. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for all associations. A <italic>P</italic> value &lt; 0.05 was considered statistically significant. The Kaplan&#x2013;Meier method was used for survival analysis.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>According to the electronic medical records, 654 kidney transplants were performed in our center between June 2019 and December 2023, and 88 CR-GNB-infected recipients received CAZ-AVI treatment, of which four CR-GNB-infected recipients received CAZ-AVI for &lt; 72 h and three CR-GNB-infected recipients aged &lt; 18 years were excluded from the study. Finally, 81 recipients were included in the study.</p>
<sec id="s3_1">
<title>Baseline characteristics</title>
<p>The demographic and clinical characteristics of the recipients included in this study are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The mean age of the recipients was 40.5 &#xb1; 7.7 years, 46.9% (38/81) were male, and the mean body mass index (BMI) was 21.9 &#xb1; 1.9 kg/m<sup>2</sup>. Sixty-seven (82.7%) recipients received organ donation after a citizen&#x2019;s death. The etiologies of end-stage kidney disease included glomerulonephritis (n = 47, 58%), hypertension (n = 10, 12.3%), diabetes mellitus (n = 7, 8.6%), and others (n = 17, 21%). The median SOFA score at the onset of infection was 5 (interquartile range [IQR] 5.0-6.0), and the median APACHE II score was 10 (IQR 9.0-13.0).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the 81 recipients receiving ceftazidime-avibactam treatment.</p>
</caption>
<table frame="hsides">
<tbody>
<tr>
<td valign="top" align="center">Sex, male, n (%)</td>
<td valign="top" align="center">38(46.9)</td>
</tr>
<tr>
<td valign="top" align="center">Age(years), mean&#xb1;SD</td>
<td valign="top" align="center">40.5&#xb1;7.7</td>
</tr>
<tr>
<td valign="top" align="center">BMI (kg/m2), mean&#xb1;SD</td>
<td valign="top" align="center">21.9&#xb1;1.9</td>
</tr>
<tr>
<td valign="top" align="center">Diabetes mellitus, n (%)</td>
<td valign="top" align="center">17(21)</td>
</tr>
<tr>
<td valign="top" align="center">Deceased donors, n (%)</td>
<td valign="top" align="center">67(82.7)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;Etiology of kidney failure, n (%)</th>
</tr>
<tr>
<td valign="top" align="center">HTA</td>
<td valign="top" align="center">10(12.3)</td>
</tr>
<tr>
<td valign="top" align="center">DM</td>
<td valign="top" align="center">7(8.6)</td>
</tr>
<tr>
<td valign="top" align="center">Glomerulonephritis</td>
<td valign="top" align="center">47(58)</td>
</tr>
<tr>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">17(21)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;Type of dialysis, n (%)</th>
</tr>
<tr>
<td valign="top" align="center">hematodialysis</td>
<td valign="top" align="center">56(69.1)</td>
</tr>
<tr>
<td valign="top" align="center">peritoneal dialysis</td>
<td valign="top" align="center">25(30.9)</td>
</tr>
<tr>
<td valign="top" align="center">ATG induction, n (%)</td>
<td valign="top" align="center">53(65.4)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;Types of infections, n (%)</th>
</tr>
<tr>
<td valign="top" align="center">BSIs</td>
<td valign="top" align="center">35(43.2)</td>
</tr>
<tr>
<td valign="top" align="center">UTIs</td>
<td valign="top" align="center">29(35.8)</td>
</tr>
<tr>
<td valign="top" align="center">Pneumonia</td>
<td valign="top" align="center">32(39.5)</td>
</tr>
<tr>
<td valign="top" align="center">SSIs</td>
<td valign="top" align="center">36(44.4)</td>
</tr>
<tr>
<td valign="top" align="center">CRRT</td>
<td valign="top" align="center">41(50.6)</td>
</tr>
<tr>
<td valign="top" align="center">Source control, n (%)</td>
<td valign="top" align="center">20(24.7)</td>
</tr>
<tr>
<td valign="top" align="center">SOFA at infection onset, median (IQR)</td>
<td valign="top" align="center">5(5-6)</td>
</tr>
<tr>
<td valign="top" align="center">APACHIIat infection onset, median (IQR)</td>
<td valign="top" align="center">10(9-13)</td>
</tr>
<tr>
<td valign="top" align="center">combination therapy, n (%)</td>
<td valign="top" align="center">41(50.6)</td>
</tr>
<tr>
<td valign="top" align="center">CAZ-AVI as salvage therapy, n (%)</td>
<td valign="top" align="center">32(39.5)</td>
</tr>
<tr>
<td valign="top" align="center">Time from infection onset to CAZ-AVI initiation (days), median (IQR)</td>
<td valign="top" align="center">4(2-12)</td>
</tr>
<tr>
<td valign="top" align="center">Duration of CAZ-AVI treatment (days), median (IQR)</td>
<td valign="top" align="center">14(10-14)</td>
</tr>
<tr>
<td valign="top" align="center">CAZ-AVI initiation within 48h, n (%)</td>
<td valign="top" align="center">37(45.7)</td>
</tr>
<tr>
<td valign="top" align="center">Clinical cure, n (%)</td>
<td valign="top" align="center">59(72.8)</td>
</tr>
<tr>
<td valign="top" align="center">microbiological cure, n (%)</td>
<td valign="top" align="center">54(66.7)</td>
</tr>
<tr>
<td valign="top" align="center">30-day mortality, n (%)</td>
<td valign="top" align="center">18(22.2)</td>
</tr>
<tr>
<td valign="top" align="center">Recurrence within 90 days, n (%)</td>
<td valign="top" align="center">4(4.9)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; HTA, hypertension; DM, diabetes mellitus; ATG, anti-human thymocyte immunoglobulin; BSIs, bloodstream infections; UTIs, urinary tract infections; SSIs, surgical site infections; CRRT, continuous renal replacement treatment; SOFA, Sequential Organ Failure Assessment; APACHE II, Acute Physiologic Assessment and Chronic Health Evaluation II; CAZ-AVI, ceftazidime-avibactam.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Infection characteristics and antimicrobial susceptibility</title>
<p>In a cohort of 81 CR-GNB-infected recipients, there were 61 cases of carbapenem-resistant <italic>Klebsiella pneumoniae</italic> (CRKP), 16 of CRPA, and 4 of CRAB infections. Surgical site infections (SSIs) (n = 36) were the most common source of infection, followed by bloodstream infections (BSIs) (n = 35), pneumonia (n = 32), and urinary tract infections (UTIs) (n = 29). Multiple site infections occurred in 40 recipients. <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> presents the antimicrobial susceptibility results. All strains were resistant to meropenem and imipenem. Most strains were resistant to ceftazidime, levofloxacin, and gentamicin <italic>in vitro</italic>, with 0&#x2013;18.7% sensitivity rates. In comparison, more strains demonstrated high sensitivity to amikacin (86.1%), polymyxin (100%), and tigecycline (100%) <italic>in vitro</italic>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Antimicrobial susceptibility of isolates from recipients with CR-GNB infections.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Antibiotic</th>
<th valign="top" align="center">Number of isolates tested(N)</th>
<th valign="top" align="center">Susceptible (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Ceftazidime</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">0.0</td>
</tr>
<tr>
<td valign="top" align="center">Levofloxacin</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">10.0</td>
</tr>
<tr>
<td valign="top" align="center">Gentamycin</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">18.7</td>
</tr>
<tr>
<td valign="top" align="center">Imipenem</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">0.0</td>
</tr>
<tr>
<td valign="top" align="center">Meropenem</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">0.0</td>
</tr>
<tr>
<td valign="top" align="center">Amikacin</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">86.1</td>
</tr>
<tr>
<td valign="top" align="center">Polymyxin</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="center">Tigecycline</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="center">Ceftazidime-Avibatam</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">100.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CR-GNB, Carbapenem-resistant Gram-negative bacteria.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Treatment characteristics</title>
<p>CAZ-AVI was given to 49 patients (60.5%) as first-line therapy, while it was given to 32 recipients (39.5%) as salvage therapy. CAZ-AVI was administered to 37 patients within 48 h of infection onset. Forty recipients (49.4%) received CAZ-AVI alone, 41 recipients (50.6%) received CAZ-AVI in combination with meropenem (n = 18, 43.9%), followed by imipenem-cilastatin (n = 12, 29.3%), tigecycline (n = 7, 17.1%), polymyxin (n= 3, 7.3%) and amikacin (n= 2, 2.4%). The median time from infection onset to CAZ-AVI administration was 4 days (IQR, 2&#x2013;12), and the median duration of CAZ-AVI treatment was 14 days (IQR, 10&#x2013;14). Appropriate source control was performed in 20 recipients (central venous catheter removal in 2 recipients with catheter-related BSIs, kidney allograft nephrostomy in 1 recipient with urinary tract obstruction, and percutaneous or surgical drainage in 17 recipients with SSIs).</p>
</sec>
<sec id="s3_4">
<title>Outcomes</title>
<p>The 30-day mortality among the 81 CR-GNB-infected recipients treated with CAZ-AVI was 22.2% (18/81), and the survival curves of the 81 recipients are presented in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The clinical cure rate was 72.8% (59/81), and the microbiological cure rate was 66.7% (54/81). In the multivariable analysis, the independent risk factor for 30-day mortality was a higher APACHE II score (OR: 4.517; 95% CI: 1.397-14.607; <italic>P</italic>=0.012) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Clinical cure was positively associated with the administration of CAZ-AVI within 48 hours of infection onset (OR: 11.009; 95% CI: 1.344-90.197; <italic>P</italic> = 0.025) and negatively associated with higher APACHE II scores (OR: 0.700; 95% CI: 0.555-0.882; <italic>P</italic> = 0.002). (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). No obvious differences were found in terms of clinical cure or 30-day mortality when CAZ/AVI was used as first-line or salvage therapy at the level of the whole cohort.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Survival curve of kidney transplant recipients treated with ceftazidime-avibactam for CR-GNB infections.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1404404-g001.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate logistic regression analyses of risk factors associated with 30-day mortality.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Variable</th>
<th valign="top" colspan="2" align="center">Kidney transplant</th>
<th valign="top" colspan="2" align="center">Univariate analysis</th>
<th valign="top" colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="top" align="center">Death (N=18)</th>
<th valign="top" align="center">Survival (N=63)</th>
<th valign="top" align="center">OR (95%CI)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
<th valign="top" align="center">OR (95%CI)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Sex, male n (%)</td>
<td valign="top" align="center">6(33.3)</td>
<td valign="top" align="center">32(50.8)</td>
<td valign="top" align="center">0.484(0.162-1.451)</td>
<td valign="top" align="center">0.195</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Age (years), mean&#xb1;SD</td>
<td valign="top" align="center">41.5&#xb1;6.0</td>
<td valign="top" align="center">40.2&#xb1;8.1</td>
<td valign="top" align="center">1.024(0.955-1.098)</td>
<td valign="top" align="center">0.512</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">BMI (kg/m2), mean&#xb1;SD</td>
<td valign="top" align="center">21.9&#xb1;1.3</td>
<td valign="top" align="center">21.9&#xb1;2.0</td>
<td valign="top" align="center">1.005(0.761-1.328)</td>
<td valign="top" align="center">0.971</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Diabetes mellitus, n (%)</td>
<td valign="top" align="center">5(27.8)</td>
<td valign="top" align="center">12(19.0)</td>
<td valign="top" align="center">1.635(0.488-5.471)</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Deceased donors, n (%)</td>
<td valign="top" align="center">12(66.7)</td>
<td valign="top" align="center">55(87.3)</td>
<td valign="top" align="center">0.291(0.085-0.994)</td>
<td valign="top" align="center">0.049</td>
<td valign="top" align="center">0.232(0.021-2.627)</td>
<td valign="top" align="center">0.238</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;Etiology of kidney failure, n (%)</th>
</tr>
<tr>
<td valign="top" align="center">HTA</td>
<td valign="top" align="center">1(5.6)</td>
<td valign="top" align="center">9(14.3)</td>
<td valign="top" align="center">0.353(0.042-2.990)</td>
<td valign="top" align="center">0.339</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">DM</td>
<td valign="top" align="center">1(5.6)</td>
<td valign="top" align="center">6(9.5)</td>
<td valign="top" align="center">0.559(0.063-4.969)</td>
<td valign="top" align="center">0.602</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Glomerulonephritis</td>
<td valign="top" align="center">13(72.2)</td>
<td valign="top" align="center">34(54.0)</td>
<td valign="top" align="center">2.218(0.706-6.963)</td>
<td valign="top" align="center">0.172</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">3(16.7)</td>
<td valign="top" align="center">14(22.2)</td>
<td valign="top" align="center">0.700(0.177-2.767)</td>
<td valign="top" align="center">0.611</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="7" align="left">&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;Type of dialysis, n (%)</th>
</tr>
<tr>
<td valign="top" align="center">hematodialysis</td>
<td valign="top" align="center">14(77.8)</td>
<td valign="top" align="center">42(66.7)</td>
<td valign="top" align="center">1.750(0.512-5.978)</td>
<td valign="top" align="center">0.372</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">peritoneal dialysis</td>
<td valign="top" align="center">4(22.2)</td>
<td valign="top" align="center">21(33.3)</td>
<td valign="top" align="center">0.571(0.167-1.952)</td>
<td valign="top" align="center">0.372</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">ATG induction n (%)</td>
<td valign="top" align="center">10(55.6)</td>
<td valign="top" align="center">43(68.3)</td>
<td valign="top" align="center">0.581(0.199-1.696)</td>
<td valign="top" align="center">0.321</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="7" align="left">&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;Types of infections n (%)</th>
</tr>
<tr>
<td valign="top" align="center">BSIs</td>
<td valign="top" align="center">11(61.1)</td>
<td valign="top" align="center">24(38.1)</td>
<td valign="top" align="center">2.554(0.871-7.485)</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center">1.412(0.103-19.329)</td>
<td valign="top" align="center">0.796</td>
</tr>
<tr>
<td valign="top" align="center">UTIs</td>
<td valign="top" align="center">8(44.4)</td>
<td valign="top" align="center">21(33.3)</td>
<td valign="top" align="center">1.600(0.550-4.651)</td>
<td valign="top" align="center">0.388</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Pneumonia</td>
<td valign="top" align="center">11(61.1)</td>
<td valign="top" align="center">21(33.3)</td>
<td valign="top" align="center">3.143(1.064-9.280)</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">2.932(0.300-28.633)</td>
<td valign="top" align="center">0.355</td>
</tr>
<tr>
<td valign="top" align="center">SSIs</td>
<td valign="top" align="center">7(38.9)</td>
<td valign="top" align="center">29(46.0)</td>
<td valign="top" align="center">0.746(0.256-2.174)</td>
<td valign="top" align="center">0.591</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">CRRT</td>
<td valign="top" align="center">9(50.0)</td>
<td valign="top" align="center">32(50.8)</td>
<td valign="top" align="center">0.969(0.340-2.762)</td>
<td valign="top" align="center">0.953</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">SOFA at infection onset, median (IQR)</td>
<td valign="top" align="center">5(4.75-7.0)</td>
<td valign="top" align="center">5(5-6)</td>
<td valign="top" align="center">1.089(0.769-1.542)</td>
<td valign="top" align="center">0.630</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">APACHIIat infection onset, median (IQR)</td>
<td valign="top" align="center">16.5(13-18.25)</td>
<td valign="top" align="center">10(9-12)</td>
<td valign="top" align="center">4.663(1.646-13.213)</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">4.517(1.397-14.607)</td>
<td valign="top" align="center">
<bold>0.012</bold>
</td>
</tr>
<tr>
<td valign="top" align="center">Source control, n (%)</td>
<td valign="top" align="center">4(22.2)</td>
<td valign="top" align="center">16(25.4)</td>
<td valign="top" align="center">0.839(0.241-2.922)</td>
<td valign="top" align="center">0.783</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">combination therapy, n (%)</td>
<td valign="top" align="center">6(33.3)</td>
<td valign="top" align="center">35(55.6)</td>
<td valign="top" align="center">0.526(0.183-1.516)</td>
<td valign="top" align="center">0.234</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">CAZ-AVI initiation within 48h, n (%)</td>
<td valign="top" align="center">5(27.8)</td>
<td valign="top" align="center">32(50.8)</td>
<td valign="top" align="center">0.373(0.119-1.169)</td>
<td valign="top" align="center">0.091</td>
<td valign="top" align="center">4.684(0.260-84.421)</td>
<td valign="top" align="center">0.295</td>
</tr>
<tr>
<td valign="top" align="center">Time from infection onset to CAZ-AVI initiation (days) median (IQR)</td>
<td valign="top" align="center">8(2-12.5)</td>
<td valign="top" align="center">4(2-12)</td>
<td valign="top" align="center">1.057(0.955-1.170)</td>
<td valign="top" align="center">0.286</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Duration of CAZ-AVI treatment (days) median (IQR)</td>
<td valign="top" align="center">14(12.25-14.25)</td>
<td valign="top" align="center">13(10-14)</td>
<td valign="top" align="center">1.087(0.944-1.250)</td>
<td valign="top" align="center">0.247</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">CAZ-AVI as salvage therapy, n (%)</td>
<td valign="top" align="center">11(61.1)</td>
<td valign="top" align="center">21(33.3)</td>
<td valign="top" align="center">3.143(1.064-9.280)</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">3.658(0.122-109.963)</td>
<td valign="top" align="center">0.455</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; HTA, hypertension; DM, diabetes mellitus; ATG, anti-human thymocyte immunoglobulin; BSIs, bloodstream infections; UTIs, urinary tract infections; SSIs, surgical site infections; CRRT, continuous renal replacement treatment; SOFA, Sequential Organ Failure Assessment; APACHE II, Acute Physiologic Assessment and Chronic Health Evaluation II. Bold indicates values &lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate and multivariate logistic regression analyses of risk factors associated with clinical cure.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Variable</th>
<th valign="top" colspan="2" align="center">Kidney transplant</th>
<th valign="top" colspan="2" align="center">Univariate analysis</th>
<th valign="top" colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="top" align="center">Clinical cure (N=59)</th>
<th valign="top" align="center">Clinical failure (N=22)</th>
<th valign="top" align="center">OR (95%CI)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
<th valign="top" align="center">OR (95%CI)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Sex, male n (%)</td>
<td valign="top" align="center">29(49.2)</td>
<td valign="top" align="center">9(40.9)</td>
<td valign="top" align="center">1.396(0.518-3.763)</td>
<td valign="top" align="center">0.509</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Age (years), mean&#xb1;SD</td>
<td valign="top" align="center">39.9&#xb1;7.9</td>
<td valign="top" align="center">42.1&#xb1;6.8</td>
<td valign="top" align="center">0.961(0.899-1.027)</td>
<td valign="top" align="center">0.243</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">BMI (kg/m2), mean&#xb1;SD</td>
<td valign="top" align="center">21.9&#xb1;1.7</td>
<td valign="top" align="center">21.9&#xb1;2.4</td>
<td valign="top" align="center">1.024(0.789-1.329)</td>
<td valign="top" align="center">0.857</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Diabetes mellitus, n (%)</td>
<td valign="top" align="center">11(18.6)</td>
<td valign="top" align="center">6(27.3)</td>
<td valign="top" align="center">0.611(0.195-1.919)</td>
<td valign="top" align="center">0.399</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Deceased donors, n (%)</td>
<td valign="top" align="center">51(86.4)</td>
<td valign="top" align="center">16(72.7)</td>
<td valign="top" align="center">2.391(0.721-7.923)</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="7" align="left">&#x2003;&#x2003;&#x2003;Etiology of kidney failure, n (%)</th>
</tr>
<tr>
<td valign="top" align="center">HTA</td>
<td valign="top" align="center">9(15.3)</td>
<td valign="top" align="center">1(4.5)</td>
<td valign="top" align="center">3.780(0.450-31.742)</td>
<td valign="top" align="center">0.221</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">DM</td>
<td valign="top" align="center">4(6.8)</td>
<td valign="top" align="center">3(13.6)</td>
<td valign="top" align="center">0.461(0.094-2.248)</td>
<td valign="top" align="center">0.338</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Glomerulonephritis</td>
<td valign="top" align="center">34(57.6)</td>
<td valign="top" align="center">13(59.1)</td>
<td valign="top" align="center">0.942(0.348-2.545)</td>
<td valign="top" align="center">0.905</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">12(20.3)</td>
<td valign="top" align="center">5(22.7)</td>
<td valign="top" align="center">0.868(0.266-2.830)</td>
<td valign="top" align="center">0.814</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="7" align="left">&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;Type of dialysis, n (%)</th>
</tr>
<tr>
<td valign="top" align="center">hematodialysis</td>
<td valign="top" align="center">40(67.8)</td>
<td valign="top" align="center">16(72.7)</td>
<td valign="top" align="center">0.789(0.267-2.338)</td>
<td valign="top" align="center">0.670</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">peritoneal dialysis</td>
<td valign="top" align="center">19(32.2)</td>
<td valign="top" align="center">6(27.3)</td>
<td valign="top" align="center">1.267(0.428-3.751)</td>
<td valign="top" align="center">0.670</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">ATG induction n (%)</td>
<td valign="top" align="center">40(67.8)</td>
<td valign="top" align="center">13(59.1)</td>
<td valign="top" align="center">1.457(0.531-4.003)</td>
<td valign="top" align="center">0.465</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="7" align="left">&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;Types of infections n (%)</th>
</tr>
<tr>
<td valign="top" align="center">BSIs</td>
<td valign="top" align="center">24(40.7)</td>
<td valign="top" align="center">11(50.0)</td>
<td valign="top" align="center">0.686(0.256-1.834)</td>
<td valign="top" align="center">0.452</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">UTIs</td>
<td valign="top" align="center">22(37.3)</td>
<td valign="top" align="center">7(31.8)</td>
<td valign="top" align="center">1.274(0.450-3.608)</td>
<td valign="top" align="center">0.648</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Pneumonia</td>
<td valign="top" align="center">21(35.6)</td>
<td valign="top" align="center">11(50.0)</td>
<td valign="top" align="center">0.553(0.205-1.489)</td>
<td valign="top" align="center">0.241</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">SSIs</td>
<td valign="top" align="center">25(42.4)</td>
<td valign="top" align="center">11(50.0)</td>
<td valign="top" align="center">0.735(0.275-1.964)</td>
<td valign="top" align="center">0.540</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">CRRT</td>
<td valign="top" align="center">30(50.8)</td>
<td valign="top" align="center">11(50.0)</td>
<td valign="top" align="center">1.034(0.389-2.754)</td>
<td valign="top" align="center">0.946</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">SOFA at infection onset, mean&#xb1;SD</td>
<td valign="top" align="center">5(5-6)</td>
<td valign="top" align="center">6(4.75-8)</td>
<td valign="top" align="center">0.732(0.524-1.002)</td>
<td valign="top" align="center">0.067</td>
<td valign="top" align="center">0.894(0.571-1.399)</td>
<td valign="top" align="center">0.624</td>
</tr>
<tr>
<td valign="top" align="center">APACHIIat infection onset, mean&#xb1;SD</td>
<td valign="top" align="center">10(9-12)</td>
<td valign="top" align="center">13(11-17.25)</td>
<td valign="top" align="center">0.689(0.564-0.841)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.700(0.555-0.882)</td>
<td valign="top" align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td valign="top" align="center">Source control, n (%)</td>
<td valign="top" align="center">16(27.1)</td>
<td valign="top" align="center">4(18.2)</td>
<td valign="top" align="center">1.674(0.491-5.706)</td>
<td valign="top" align="center">0.410</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">combination therapy, n (%)</td>
<td valign="top" align="center">33(55.9)</td>
<td valign="top" align="center">8(36.4)</td>
<td valign="top" align="center">2.221(0.810-6.094)</td>
<td valign="top" align="center">0.121</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">CAZ-AVI initiation within 48h, n (%)</td>
<td valign="top" align="center">35(59.3)</td>
<td valign="top" align="center">2(9.1)</td>
<td valign="top" align="center">14.583(3.115-68.269)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">11.009(1.344-90.197)</td>
<td valign="top" align="center">
<bold>0.025</bold>
</td>
</tr>
<tr>
<td valign="top" align="center">Time from infection onset to CAZ-AVI initiation (days) median (IQR)</td>
<td valign="top" align="center">2(2-12)</td>
<td valign="top" align="center">8(3.75-14)</td>
<td valign="top" align="center">0.908(0.825-1.000)</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center">1.143 (0.923-1.416)</td>
<td valign="top" align="center">0.221</td>
</tr>
<tr>
<td valign="top" align="center">Duration of CAZ-AVI treatment (days) median (IQR)</td>
<td valign="top" align="center">14(10-14)</td>
<td valign="top" align="center">14(10.75-15)</td>
<td valign="top" align="center">0.963(0.846-1.096)</td>
<td valign="top" align="center">0.569</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">CAZ-AVI as salvage therapy, n (%)</td>
<td valign="top" align="center">17(28.8)</td>
<td valign="top" align="center">15(68.2)</td>
<td valign="top" align="center">0.189(0.065-0.545)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.317(0.035-2.849)</td>
<td valign="top" align="center">0.305</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; HTA, hypertension; DM, diabetes mellitus; ATG, anti-human thymocyte immunoglobulin; BSIs, bloodstream infections; UTIs, urinary tract infections; SSIs, surgical site infections; CRRT, continuous renal replacement treatment; SOFA, Sequential Organ Failure Assessment; APACHE II, Acute Physiologic Assessment and Chronic Health Evaluation II. Bold indicates values &lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Four recipients experienced recurrence of infection (assessed on day 90), with a recurrence rate of 4.9% (4/81). The CAZ-AVI MICs of the recurrent strains (three cases of CRKP and one case of CRPA) were not higher than those of the original strains. In addition, no strains developed CAZ-AVI resistance during the course of the study.</p>
</sec>
<sec id="s3_5">
<title>Adverse effects</title>
<p>CAZ-AVI-related adverse events occurred in three recipients, including diarrhea (unrelated to <italic>Clostridium difficile</italic> infection) in one recipient while nausea and vomiting in two recipients, all of which recovered after symptomatic relief treatment, and no severe adverse reactions were observed.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This is the largest single-center study reported to date focused on KT recipients receiving CAZ-AVI for CR-GNB infection to explore the risk factors associated with clinical failure and 30-day mortality, as well as the effectiveness of combination therapy. The results showed that CAZ-AVI was administered to 81 CR-GNB-infected recipients, including 61 CRKP-infected recipients, 16 CRPA-infected recipients, and 4 CRAB-infected recipients. The 30-day mortality, clinical cure, and microbiological cure rates were 22.2%, 72.8%, and 66.7%, respectively, indicating that CAZ-AVI is effective in the treatment of CR-GNB infection after kidney transplantation.</p>
<p>The reported 30-day mortality of 22.2% in this study is consistent with the 30-day mortality reported in a recently published study involving 210 solid organ transplant recipients with bloodstream CRKP infection at 14 transplant centers in four countries, and they reported a 30-day mortality of 13.25% in recipients treated with CAZ-AVI (<xref ref-type="bibr" rid="B21">P&#xe9;rez-Nadales et&#xa0;al., 2023</xref>). Another multicenter retrospective study from 2015 to 2019 at six medical centers in the United States included 203 CREs (n = 117) and CRPAs (n = 63) isolated from culture specimens, and the 30-day mortality in patients treated with CAZ-AVI was 17.2% (<xref ref-type="bibr" rid="B13">Jorgensen et&#xa0;al., 2019</xref>). However, Chen et&#xa0;al (<xref ref-type="bibr" rid="B4">Chen et&#xa0;al., 2021</xref>). reported 38.1% 30-day mortality in the liver transplant population, which was significantly higher than the 30-day mortality in our study (19.4%), which could be attributed to the difference in patient severity between studies. Our study revealed that 30-day mortality was associated with higher APACHE II scores, consistent with previous reports (<xref ref-type="bibr" rid="B42">Zhang et&#xa0;al., 2024</xref>). A meta-analysis conducted by Qian et&#xa0;al (<xref ref-type="bibr" rid="B22">Qian et&#xa0;al., 2021</xref>). reported that the average APACHE II score in nonsurviving patients was significantly higher than that in surviving patients at the time of diagnosis of CRKP infection, indicating that the APACHE II score is a critical and useful scoring system for clinicians to assess disease severity and predict the prognosis of patients with CR-GNB infection.</p>
<p>In addition, the clinical and microbiological cure rates in the present study were 72.8% and 66.7%, respectively, which were consistent with previous reports. Temkin et&#xa0;al (<xref ref-type="bibr" rid="B28">Temkin et&#xa0;al., 2017</xref>). reported a single-center case study in which 38 patients with CRE (89% CRKP) infection were treated with CAZ-AVI, with clinical and microbiological cure rates of 68.4% and 63.1%, respectively. In a multicenter study by King et&#xa0;al (<xref ref-type="bibr" rid="B15">King et&#xa0;al., 2017</xref>), which evaluated the clinical outcomes of 60 CRE (83% CRKP)-infected patients treated with CAZ-AVI, 65% and 53% achieved microbiological cure and clinical cure, respectively, at the end of CAZ-AVI treatment. The present study revealed that clinical failure was associated with higher APACHE II scores and failure to administer CAZ-AVI within 48 hours of infection onset, consistent with previous reports (<xref ref-type="bibr" rid="B40">Yu et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B38">Xu et&#xa0;al., 2024</xref>). A multicenter retrospective cohort study by Jorgensen et&#xa0;al (<xref ref-type="bibr" rid="B13">Jorgensen et&#xa0;al., 2019</xref>). demonstrated that CAZ-AVI initiation within 48 h of infection onset was associated with a lower clinical failure rate in patients with CR-GNB infection. Additionally, several studies have shown that the treatment of severe infections is time-sensitive, and delays in appropriate treatment have negative consequences (<xref ref-type="bibr" rid="B24">Seymour et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B3">Bonine et&#xa0;al., 2019</xref>), emphasizing the importance of rapid diagnostic testing in early pathogen identification and susceptibility testing. Continuous renal replacement therapy (CRRT) has previously been reported to be associated with clinical failure of CAZ-AVI treatment (<xref ref-type="bibr" rid="B26">Shields et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B13">Jorgensen et&#xa0;al., 2019</xref>); however, this association was not observed in our study, which may be attributed to our small sample size.</p>
<p>In the pre-CAZ-AVI era, combinations of two or more active antimicrobial agents were widely considered superior to single-agent regimens for treating CR-GNB, particularly for CRE infections associated with high mortality scores (<xref ref-type="bibr" rid="B11">Guti&#xe9;rrez-Guti&#xe9;rrez et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B10">Giannella et&#xa0;al., 2018</xref>). The role of CAZ-AVI as a combination therapy is still debated. A recent meta-analysis of 17 studies and 1435 patients (837 treated with CAZ-AVI combination therapy and 598 treated with CAZ-AVI monotherapy) treated with CAZ-AVI for CR-GNB infection revealed no significant difference in mortality, clinical cure rate, or microbiological cure rate between CAZ-AVI combination therapy and monotherapy, but monotherapy was more likely to present a trend toward posttreatment resistance than combination therapy (<xref ref-type="bibr" rid="B17">Li et&#xa0;al., 2021</xref>). Several studies have shown that CAZ-AVI combination therapy can reduce mortality compared with monotherapy, particularly in critically ill patients (<xref ref-type="bibr" rid="B32">Tumbarello et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B43">Zheng et&#xa0;al., 2021</xref>). In contrast, a small number of studies have reported the opposite results. Corbella et&#xa0;al (<xref ref-type="bibr" rid="B5">Corbella et&#xa0;al., 2022</xref>). reported an inverse correlation between combination therapy and clinical cure in 61 CRPA patients treated with CAZ-AVI. Karaiskos et&#xa0;al (<xref ref-type="bibr" rid="B14">Karaiskos et&#xa0;al., 2021</xref>). revealed that CAZ-AVI combination therapy was an independent risk factor for death in a multicenter prospective observational study, and this difference may be explained by the inclusion of patients with more severe infections in the combination group. In the present study, combination therapy showed no clear improvement in terms of 30-day mortality or clinical cure compared to monotherapy, consistent with the findings of most previous studies (<xref ref-type="bibr" rid="B28">Temkin et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B17">Li et&#xa0;al., 2021</xref>), indicating that CAZ-AVI is effective when administered alone. Compared with combination therapy, CAZ-AVI monotherapy may reduce the incidence of adverse events, particularly acute kidney injury, on the basis of the characteristics of combination therapy with aminoglycosides or colistin (<xref ref-type="bibr" rid="B27">Shields et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B15">King et&#xa0;al., 2017</xref>). No acute kidney injury events were observed in this study, which could be attributed to the fact that most CAZ-AVI combination antimicrobials used in the present study were carbapenems.</p>
<p>The recurrence rate within 90 days after onset in the present study was 4.9% (4/81), which was lower than the 11.7% to 21% reported in previous studies (<xref ref-type="bibr" rid="B27">Shields et&#xa0;al., 2016</xref>, <xref ref-type="bibr" rid="B26">2018</xref>), and all four recurrent recipients were cured by CAZ-AVI retreatment. CAZ-AVI resistance was not detected in the present study, which is consistent with the findings of previous studies (<xref ref-type="bibr" rid="B35">Vena et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B5">Corbella et&#xa0;al., 2022</xref>). However, there is mounting evidence that resistance develops during CAZ-AVI exposure. Shields et&#xa0;al (<xref ref-type="bibr" rid="B27">Shields et&#xa0;al., 2016</xref>). reported that 10% (8/77) of CRE-infected patients developed resistance after receiving CAZ-AVI treatment for a median of 15 days (IQR, 7&#x2013;31). Another study reported that 3.5% (20/577) of CRKP-infected patients had persistently positive cultures after CAZ-AVI initiation and eventually developed resistance to CAZ-AVI (<xref ref-type="bibr" rid="B30">Tumbarello et&#xa0;al., 2021</xref>). The most common cause of CAZ-AVI resistance is a point mutation in the <italic>bla_KPC</italic> gene, which can restore susceptibility to carbapenems, so some authors encourage clinicians to combine CAZ-AVI with carbapenems or other antibiotics to prevent resistance (<xref ref-type="bibr" rid="B18">Liu et&#xa0;al., 2022</xref>). The present study revealed CAZ-AVI to be safe, with an incidence of treatment-related adverse reactions similar to that previously reported (<xref ref-type="bibr" rid="B1">Baland&#xed;n et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B5">Corbella et&#xa0;al., 2022</xref>), and no severe adverse drug reactions occurred.</p>
<p>This study has many limitations. First, because this was a single-center, retrospective study, the generalizability of our findings is limited. Second, since CAZ-AVI was introduced in China in 2019, our sample size was relatively small, which may have prevented us from identifying important risk factors for 30-day mortality and clinical failure, and larger randomized controlled trials are required to address this issue. Third, carbapenemase detection assays were not performed in this study due to the lack of necessary clinical laboratory equipment and reagents.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>This study identified the risk factors for clinical failure and 30-day mortality in CR-GNB-infected KT recipients treated with CAZ-AVI, and our study suggested that CAZ-AVI provides clinical benefit in terms of survival and clinical response in CR-GNB-infected KT recipients, even as a monotherapy. Higher APACHE II scores were associated with 30-day mortality and clinical failure, and timely administration of CAZ-AVI within 48 hours of infection onset was positively associated with a clinical cure. These findings may help clinicians optimize treatment strategies for KT recipients with CR-GNB infections using CAZ-AVI and reduce mortality in the future.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the ethics committee of The First Affiliated Hospital of Anhui Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because this study is a retrospective study. The animal study was approved by the ethics committee of The First Affiliated Hospital of Anhui Medical University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>FZ: Conceptualization, Formal analysis, Investigation, Writing &#x2013; original draft. PL: Conceptualization, Data curation, Formal analysis, Methodology, Writing &#x2013; original draft. JZ: Conceptualization, Data curation, Formal analysis, Methodology, Writing &#x2013; original draft. HD: Data curation, Formal analysis, Methodology, Software, Writing &#x2013; original draft. GL: Conceptualization, Formal analysis, Writing &#x2013; review &amp; editing. CL: Conceptualization, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work received funding from the Natural Science Foundation of Anhui Province (Grant No. 1508085SMH226).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>CR-GNB, Carbapenem-resistant gram-negative bacilli; CAZ-AVI, ceftazidime-avibactam; CRKP, carbapenem-resistant Klebsiella pneumoniae; CRPA, carbapenem-resistant Pseudomonas aeruginosa; CRAB, carbapenem-resistant Acinetobacter baumannii; KT, kidney transplant; APACHE II, Acute Physiology and Chronic Health Evaluation II; SOFA, Sequential Organ Failure Assessment; SSIs, Surgical site infections; BSIs, bloodstream infections; UTIs, urinary tract infections.</p>
</fn>
</fn-group>
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