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<front>
<journal-meta>
<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>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2022.1098856</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>Epidemiology, antimicrobial resistance, and mortality risk factors of carbapenem resistant gram-negative bacteria in hematopoietic stem cell transplantation recipients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Jia</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2011996"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yun</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Ziyue</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xuefeng</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Yanfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1433606"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Hematology, Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Gastroenterology, Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Oncology, National Health Commission (NHC) Key Laboratory of Cancer Proteomics, Laboratory of Structural Biology, Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Hematology, The Third Xiangya Hospital of Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yonghong Xiao, Zhejiang University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Mehmet Doganay, Lokman Hekim University, T&#xfc;rkiye; Nazan Tuna, Namik Kemal University, T&#xfc;rkiye</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yanfeng Liu, <email xlink:href="mailto:liu_xiaoyu2@163.com">liu_xiaoyu2@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share first authorship</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Clinical Microbiology, a section of the journal Frontiers in Cellular and Infection Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>1098856</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Jia, Li, Liu, Yang, Chen and Liu</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Jia, Li, Liu, Yang, Chen and Liu</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>Introduction</title>
<p>Carbapenem resistant gram-negative bacteria (CRGNB) infection is more and more frequent in patients after hematopoietic stem cell transplantation (HSCT), and the prognosis is very poor. The purpose of this study was to investigate the clinical characteristics and risk factors for mortality with CRGNB infection in HSCT recipients, and to provide useful information for guiding the application of antibiotics and improving the prognosis in the future.</p>
</sec>
<sec>
<title>Methods</title>
<p>Electronic medical records of CRGNB infected patients who underwent HSCT in Xiangya Hospital from January 1, 2015 to June 30, 2022 were collected. At the same time, 1:1 case-control matching was performed according to gender, age and disease type. The epidemiological characteristics and drug resistance of patients with CRGNB infection and non-CRGNB infection were compared. Logistic regression and Cox regression analysis were used to determine the risk factors for CRGNB acquisition and death respectively, and a prediction model of overall survival was constructed by R language.</p>
</sec>
<sec>
<title>Results and Discussion</title>
<p>The crude infection rate of CRGNB in HSCT recipients was 7.42%, and the mortality rate was 47.1%. CRGNB was resistant to most commonly used antibiotics. Time interval from diagnosis to transplantation &gt;180 days (HR=7.886, 95% CI 2.624-23.703, <italic>P</italic>=0.000), septic shock (HR=6.182, 95% CI 2.605-14.671, <italic>P</italic>=0.000), platelet count &lt; 20 &#xd7; 10<sup>9</sup>/L (HR=2.615, 95% CI 1.152-5.934, <italic>P</italic>=0.022) and total bilirubin &gt; 34.2 &#x3bc;mol/L (HR=7.348, 95% CI 2.966-18.202, <italic>P</italic>=0.000) at the initial stage of infection were 4 independent risk factors associated with mortality. CRGNB infection has become a serious threat to HSCT recipients. Clinicians should pay high attention to it and actively seek personalized treatment strategies suitable for local medical conditions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>carbapenem resistant gram-negative bacteria</kwd>
<kwd>hematopoietic stem cell transplantation</kwd>
<kwd>drug resistance</kwd>
<kwd>mortality</kwd>
<kwd>risk factors</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Natural Science Foundation of&#xa0;Hunan Province<named-content content-type="fundref-id">10.13039/501100004735</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Beijing Xisike Clinical Oncology Research Foundation<named-content content-type="fundref-id">10.13039/100018904</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="13"/>
<word-count count="5575"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>With the continuous improvement of technology and the expansion of donor options, hematopoietic stem cell transplantation (HSCT) has become an important, even the best treatment for hematological malignancies, some solid tumors, inherited metabolic disorders and immune diseases (<xref ref-type="bibr" rid="B28">Khaddour et&#xa0;al., 2022</xref>). However, HSCT recipients are particularly vulnerable to bacterial infection due to mucosal injury, immunosuppression, prolonged hospitalization, invasive procedures and frequent exposure to antibiotics. In recent years, most regions of the world have shown a trend of epidemiological change from gram-positive bacteria to gram-negative bacteria (GNB) (<xref ref-type="bibr" rid="B35">Omrani and Almaghrabi, 2017</xref>). It has been reported that approximately 15% to 74% of bacteremia in HSCT recipients is caused by GNB (<xref ref-type="bibr" rid="B33">Mikulska et&#xa0;al., 2014</xref>). In addition, several studies have confirmed that GNB infection is strongly associated with poorer prognosis. For example, Poutsiaka DD et&#xa0;al. reported that the mortality of HSCT recipients experiencing GNB bloodstream infection was about 59% (<xref ref-type="bibr" rid="B38">Poutsiaka et&#xa0;al., 2007</xref>). Ortega M et&#xa0;al. and Mikulska M et&#xa0;al. also found that the mortality of HSCT recipients on the 7th and 30th day after GNB bacteremia was 17%-22% and 24%-31%, respectively (<xref ref-type="bibr" rid="B36">Ortega et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B32">Mikulska et&#xa0;al., 2012</xref>). What&#x2019;s worse, in the past two decades, the resistance rate of GNB to antibiotics has been increasing, and the emergence of multi-drug resistant (MDR), extensively-drug resistant (XDR), and pandrug resistant (PDR) bacteria has also become more and more common (<xref ref-type="bibr" rid="B42">Sahitya et&#xa0;al., 2021</xref>). Carbapenems were once considered as the last line of defense against GNB, whereas the rising drug resistance rate poses a huge challenge to researchers. Carbapenem resistant gram-negative bacteria (CRGNB) is listed as a public health threat prioritized by the Centers for Disease Control and Prevention of the United States and World Health Organization (<xref ref-type="bibr" rid="B6">Babiker et&#xa0;al., 2021</xref>).</p>
<p>At present, CRGNB infection has become one of the most common complications and causes of death for HSCT recipients, and the economic burden and mental stress brought by it have a negative impact on patients&#x2019; families and even the whole society. Although a number of epidemiological and clinical data related to infection in this special population have been published previously, most have focused on carbapenem-resistant Enterobacteria (CRE). However, some studies demonstrated that infections caused by other CRGNBs, such as Pseudomonas aeruginosa and Acinetobacter, are growing at an extremely fast speed, even surpassing CRE as the most dominant CRGNB isolates among transplant patients in some regions (<xref ref-type="bibr" rid="B6">Babiker et&#xa0;al., 2021</xref>).</p>
<p>This study analyzed the composition, distribution, drug resistance and prognosis of CRGNB infection in HSCT recipients in the hematological ward of a large general hospital in Central-south China in the past seven years, and paid special attention to the risk factors related to CRGNB acquisition and death. It provides valuable information for comprehensively understanding the characteristics of post-transplant infection, adjusting anti-infection treatment strategies and improving the prognosis of patients.</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>The electronic medical record information of patients with CRGNB infection who underwent HSCT in Xiangya Hospital of Central South University (Changsha, China) from January 1, 2015 to June 30, 2022 was collected, and a 1:1 retrospective case-control matching according to gender, age, disease type and other features was conducted (if more than one control patient met the inclusion criteria at the same time, the patient closest to the case without missing data was retained). Clinical characteristics included but were not limited to infection sites, antibiotic use, blood routine/blood biochemical/microbiological laboratory data within 24 hours of infection, acute graft-versus-host disease (aGVHD), septic shock, mechanical ventilation, average hospital stay, survival rate, etc. The follow-up time was 100 days after infection.</p>
<p>Patients younger than 14 years and older than 65 years were excluded. The diagnosis of acute myeloid leukemia, acute lymphoblastic leukemia, myelodysplastic syndrome, aplastic anemia, and lymphoma referred to relevant guidelines (<xref ref-type="bibr" rid="B41">Red Blood Cell Disease (Anemia) Group et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B15">Chinese Society of Hematology and Chinese Medical Association, 2019</xref>; <xref ref-type="bibr" rid="B25">Hoppe et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B23">Hematology Oncology Committee et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B29">Leukemia &amp; Lymphoma Group et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s2_2">
<title>Ethics statement</title>
<p>This was a retrospective case-control study with all data from the electronic medical record system. The institutional review board of Xiangya Hospital endorsed this project and approved the waiver of informed consent from patients (approval number: 2019030162). The authors ensure that the patient&#x2019;s privacy is not disclosed.</p>
</sec>
<sec id="s2_3">
<title>Definitions</title>
<p>CRGNB mainly included carbapenem resistant- Pseudomonas aeruginosa (CRPA), Acinetobacter baumannii (CRAB), Enterobacteriaceae (CRE) and Stenotrophomonas maltophilia (<xref ref-type="bibr" rid="B21">Doi, 2019</xref>). The types of CRE infection were classified according to the National Healthcare Safety Network criteria (<xref ref-type="bibr" rid="B48">Shields et&#xa0;al., 2016</xref>). Carbapenem resistance was defined as an ertapenem minimum inhibitory concentration (MIC) &#x2265; 2 &#x3bc;g/mL and meropenem and/or imipenem MIC &#x2265; 4 &#x3bc;g/mL. Bacterial infection was defined as the occurrence of inflammatory reaction symptoms in the patient and the isolation of pathogenic microorganisms from blood or other normally sterile sites and exclusion of contamination and colonization (<xref ref-type="bibr" rid="B26">Horan et&#xa0;al., 2018</xref>). Infections occurred 48 hours after admission were considered hospital-acquired (<xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2022</xref>). Inappropriate empiric antimicrobial therapy was defined as the absence of microbial-sensitive antibiotics within 48 hours of specimen acquisition (<xref ref-type="bibr" rid="B53">Wan et&#xa0;al., 2017</xref>). Antibiotic combination therapy was defined as simultaneous use of two or more antibiotics for at least 48 hours, including inhaled products (only in cases of respiratory infection) (<xref ref-type="bibr" rid="B14">Chen et&#xa0;al., 2021</xref>). Neutrophil engraftment was defined as neutrophil &gt; 0.5&#xd7;10<sup>9</sup>/L for at least 3 consecutive days. Platelet engraftment was defined as platelet &gt; 20&#xd7;10<sup>9</sup>/L for at least 7 consecutive days without blood transfusion (<xref ref-type="bibr" rid="B27">Huo et&#xa0;al., 2020</xref>). Acute GVHD was defined as an inflammatory response in the skin, gastrointestinal tract and liver that occurred within 100 days after transplantation (<xref ref-type="bibr" rid="B49">Stem Cell Application Group et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s2_4">
<title>Antibiotics use and immunosuppressive regimen</title>
<p>Antibiotic prophylaxis: Oral nystatin (50 wu, 3 times a day) and gentamicin (8 wu, 3 times a day) were used for intestinal preparation 5 days before pretreatment chemotherapy. Carbapenems (meropenem/imipenem) or cephalosporins were usually given to prevent bacterial infection if a patient developed agranulocytosis (or agranulocytosis expected within 48 hours) after the start of pretreatment chemotherapy. Antibiotic therapy: When patients were infected, they were usually treated with carbapenem alone or combined with tigecycline depending on their clinical manifestations. In the later stage, with the engraftment of donor stem cells and the relief of infection symptoms, antibiotics were de-escalated to &#x3b2;-lactamase inhibitor compound preparation (such as piperacillin-tazobactam, cefoperazone-sulbactam) or quinolone (<xref ref-type="bibr" rid="B16">Chinese Society of Hematology et&#xa0;al., 2020</xref>). All patients received triple immunosuppression (tacrolimus or cyclosporine A, prednisone and mycophenolate mofetil), and some also received ruxolitinib or balliximab.</p>
</sec>
<sec id="s2_5">
<title>Isolate collection and microbiological investigation</title>
<p>Under the premise of strict aseptic procedures, the patient&#x2019;s blood (venous blood from 2 different sites at the same time) or other samples (such as sputum, urine, bronchoalveolar lavage fluid, pleural/abdominal effusion, etc.) were collected in special culture bottles and immediately sent to microbiology laboratory for bacterial culture. The bacterial strains were identified by VITEK 2 compact automatic bacterial analyzer, the antimicrobial susceptibility was determined by MIC method and Kirby Bauer diffusion method.</p>
</sec>
<sec id="s2_6">
<title>Construction and validation of prediction model for overall survival</title>
<p>First, independent risk factors associated with death were identified by Cox univariate and multivariate analyses, and used as clinical variables. 100-day OS was used as clinical outcome endpoint. Subsequently, a nomogram model was constructed by R software 3.3.0. The consistency index (C-index) was used to compare the prediction result of nomogram with the actual observation data, and a calibration plot was used to visualize the prediction model, so as to evaluate the sensitivity and specificity.</p>
</sec>
<sec id="s2_7">
<title>Statistical analysis</title>
<p>The continuous variables were presented as median and interquartile range (IQR), and comparison between groups was performed by Mann Whitney U-test. The categorical variables were presented as absolute values and percentages, and comparison between groups was performed by Chi square test or Fischer exact test. The nomogram prediction model was constructed using the rms software package in R language. The receiver operating characteristic (ROC) curve was plotted and the area under the curve (AUC) was calculated to evaluate the prediction accuracy of this model. Kaplan-Meier analysis and Log-rank test were used to compare the survival rates of patients with or without risk factors. <italic>P</italic> &lt; 0.05 was considered statistically significant. All statistical analyses were performed through IBM SPSS 24.0.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Clinical characteristics</title>
<p>From January 1, 2015 to June 30, 2022, a total of 1173 cases of HSCT were performed in our hospital, of which 87 were included in this study. The crude CRGNB infection rate was 7.4%, including 49 males (56.3%) and 38 females (43.7%), with a mean age of 35 (24.5, 48) years. The main primary diseases were acute lymphoblastic leukemia (28.7%), acute myeloid leukemia (26.4%), aplastic anemia (17.2%), myelodysplastic syndrome (16.1%) and lymphoma (6.9%). The incidence of aGVHD was 51.7%, and 29 recipients (33.3%) received immunosuppressive therapy with ruxolitinib and/or balliximab. Forty infections (46.0%) occurred during agranulocytosis. Fifty-eight patients (66.7%) did not receive appropriate empiric anti-infective treatment.</p>
<p>Compared with matched controls, patients with CRGNB infection had longer engraftment time of neutrophil (<italic>P</italic>=0.012) and platelet (<italic>P</italic>=0.002), lower albumin level in the early stages of infection (<italic>P</italic>=0.005), and worse prognosis (mortality rate 47.1% vs. 25.3%, <italic>P</italic>=0.005). The demographic, laboratory and clinical data were detailed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of hematopoietic stem cell transplantation recipients with CRGNB and non-CRGNB.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristic</th>
<th valign="bottom" align="center">CRGNB (N=87)</th>
<th valign="bottom" align="center">Non-CRGNB (N=87)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">Sex, n (%)</td>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center">0.644</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Female</td>
<td valign="bottom" align="center">38 (43.7%)</td>
<td valign="bottom" align="center">34 (39.1%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Male</td>
<td valign="bottom" align="center">49 (56.3%)</td>
<td valign="bottom" align="center">53 (60.9%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">Age, years, median (IQR)</td>
<td valign="bottom" align="center">35 (24.5, 48)</td>
<td valign="bottom" align="center">34 (23.5, 45.5)</td>
<td valign="bottom" align="center">0.406</td>
</tr>
<tr>
<td valign="bottom" align="left">Primary disease, n (%)</td>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center">0.155</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Acute lymphocytic leukemia</td>
<td valign="bottom" align="center">25 (28.7%)</td>
<td valign="bottom" align="center">23 (26.4%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Acute myelogenous leukemia</td>
<td valign="bottom" align="center">23 (26.4%)</td>
<td valign="bottom" align="center">34 (39.1%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Aplastic anemia</td>
<td valign="bottom" align="center">15 (17.2%)</td>
<td valign="bottom" align="center">13 (14.9%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Myelodysplastic syndrome</td>
<td valign="bottom" align="center">14 (16.1%)</td>
<td valign="bottom" align="center">7 (8%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Lymphoma</td>
<td valign="bottom" align="center">6 (6.9%)</td>
<td valign="bottom" align="center">2 (2.3%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Others</td>
<td valign="bottom" align="center">4 (4.6%)</td>
<td valign="bottom" align="center">8 (9.2%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">CMV infection before transplantation, n (%)</td>
<td valign="bottom" align="center">1 (1.1%)</td>
<td valign="bottom" align="center">0 (0%)</td>
<td valign="bottom" align="center">1.000</td>
</tr>
<tr>
<td valign="bottom" align="left">EBV infection before transplantation, n (%)</td>
<td valign="bottom" align="center">18 (20.7%)</td>
<td valign="bottom" align="center">8 (9.2%)</td>
<td valign="bottom" align="center">0.056</td>
</tr>
<tr>
<td valign="bottom" align="left">Sibling donor, n (%)</td>
<td valign="bottom" align="center">71 (81.6%)</td>
<td valign="bottom" align="center">75 (86.2%)</td>
<td valign="bottom" align="center">0.536</td>
</tr>
<tr>
<td valign="bottom" align="left">HLA-identical, n (%)</td>
<td valign="bottom" align="center">25 (28.7%)</td>
<td valign="bottom" align="center">36 (41.4%)</td>
<td valign="bottom" align="center">0.112</td>
</tr>
<tr>
<td valign="bottom" align="left">Time between diagnosis and transplantation, days, median (IQR)</td>
<td valign="bottom" align="center">222 (165, 332)</td>
<td valign="bottom" align="center">192 (118, 268)</td>
<td valign="bottom" align="center">0.172</td>
</tr>
<tr>
<td valign="bottom" align="left">Acute GVHD (grade I-II), n (%)</td>
<td valign="bottom" align="center">45 (51.7%)</td>
<td valign="bottom" align="center">43 (49.4%)</td>
<td valign="bottom" align="center">0.879</td>
</tr>
<tr>
<td valign="bottom" align="left">Special immunosuppressant<sup>#</sup>
</td>
<td valign="bottom" align="center">29 (33.3%)</td>
<td valign="bottom" align="center">18 (20.7%)</td>
<td valign="bottom" align="center">0.088</td>
</tr>
<tr>
<td valign="bottom" align="left">Infection during agranulocytosis</td>
<td valign="bottom" align="center">40 (46.0%)</td>
<td valign="bottom" align="center">49 (56.3%)</td>
<td valign="bottom" align="center">0.225</td>
</tr>
<tr>
<td valign="bottom" align="left">Inappropriate empiric antimicrobial treatment, n (%)</td>
<td valign="bottom" align="center">58 (66.7%)</td>
<td valign="bottom" align="center">37 (42.5%)</td>
<td valign="bottom" align="center">0.002*</td>
</tr>
<tr>
<td valign="bottom" align="left">Time of neutrophil engraftment, median (IQR)</td>
<td valign="bottom" align="center">14 (12, 16)</td>
<td valign="bottom" align="center">13 (11, 15.5)</td>
<td valign="bottom" align="center">0.012*</td>
</tr>
<tr>
<td valign="bottom" align="left">Time of platelet engraftment, median (IQR)</td>
<td valign="bottom" align="center">22 (15, 26)</td>
<td valign="bottom" align="center">16 (13, 22)</td>
<td valign="bottom" align="center">0.002*</td>
</tr>
<tr>
<td valign="bottom" align="left">Hospital-acquired infection, n (%)</td>
<td valign="bottom" align="center">79 (90.8%)</td>
<td valign="bottom" align="center">84 (96.6%)</td>
<td valign="bottom" align="center">0.213</td>
</tr>
<tr>
<td valign="bottom" align="left">Indicators within 24 hours of infection</td>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Neutrophil count, 10<sup>9</sup>/L, median (IQR)</td>
<td valign="bottom" align="center">0.95 (0, 3.2)</td>
<td valign="bottom" align="center">0.1 (0, 2.25)</td>
<td valign="bottom" align="center">0.161</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Lymphocyte count, 10<sup>9</sup>/L, median (IQR)</td>
<td valign="bottom" align="center">0.1 (0, 0.4)</td>
<td valign="bottom" align="center">0.1 (0, 0.5)</td>
<td valign="bottom" align="center">0.579</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Platelet count, 10<sup>9</sup>/L, median (IQR)</td>
<td valign="bottom" align="center">27 (14, 48)</td>
<td valign="bottom" align="center">27 (14.5, 61)</td>
<td valign="bottom" align="center">0.695</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Procalcitonin, &#x3bc;g/L, median (IQR)</td>
<td valign="bottom" align="center">0.63 (0.21, 6.63)</td>
<td valign="bottom" align="center">0.75 (0.23, 2.41)</td>
<td valign="bottom" align="center">0.807</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Albumin, g/L, median (IQR)</td>
<td valign="bottom" align="center">31.7 (27.9, 34.3)</td>
<td valign="bottom" align="center">34.8 (29.3, 37.9)</td>
<td valign="bottom" align="center">0.005*</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Total bilirubin, &#x3bc;mol/L, median (IQR)</td>
<td valign="bottom" align="center">13.9 (9.3, 22.3)</td>
<td valign="bottom" align="center">11.8 (7.95, 18)</td>
<td valign="bottom" align="center">0.106</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Alanine transaminase, median (IQR)</td>
<td valign="bottom" align="center">22.3 (13.3, 46.45)</td>
<td valign="bottom" align="center">30 (15.95, 58)</td>
<td valign="bottom" align="center">0.150</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Aspertate aminotransferase, median (IQR)</td>
<td valign="bottom" align="center">25 (14.2, 41)</td>
<td valign="bottom" align="center">22.6 (15.9, 34.4)</td>
<td valign="bottom" align="center">0.625</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Creatinine, &#x3bc;mol/L, median (IQR)</td>
<td valign="bottom" align="center">61 (53, 76)</td>
<td valign="bottom" align="center">62 (53, 76.7)</td>
<td valign="bottom" align="center">0.646</td>
</tr>
<tr>
<td valign="bottom" align="left">Hospital stay, days, median (IQR)</td>
<td valign="bottom" align="center">50 (34, 84)</td>
<td valign="bottom" align="center">53 (40, 77.5)</td>
<td valign="bottom" align="center">0.986</td>
</tr>
<tr>
<td valign="bottom" align="left">Mortality, n (%)</td>
<td valign="bottom" align="center">41 (47.1%)</td>
<td valign="bottom" align="center">22 (25.3%)</td>
<td valign="bottom" align="center">0.005*</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRGNB, carbapenem-resistant gram-negative bacteria; HLA, human leukocyte antigen; GVHD, graft-versus-host disease; CMV, cytomegalovirus; EBV, epstein-barr virus; IQR, interquartile range.</p>
</fn>
<fn>
<p>
<sup>#</sup>Special immunosuppressants here mainly refer to ruxolitinib and balliximab.</p>
</fn>
<fn>
<p>*P values are statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Overview of CRGNB microbiology</title>
<p>Among the 87 isolated CRGNB strains, 56.3% came from lung, 39.1% from the bloodstream, and the rest from urine, skin and soft tissues, pleural/abdominal effusion. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref> detailed the classification and percentage of CRGNB. It can be seen that CRKP, CRPA and CRAB were still the main strains of CRGNB infection after HSCT, accounting for more than two thirds of the total. The resistance rate of CRGNB to most commonly used antibiotics (such as quinolones, cephalosporins, sulfonamides and piperacillin-tazobactam) was more than 50%, and it was only relatively sensitive to some aminoglycosides (mainly amikacin here) and tigacycline (TGC). <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref> showed the trajectory tracking among strain type, carbapenem resistance and survival. The specific comparison between CRGNB and non-CRGNB groups were presented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Distribution of carbapenem resistant gram-negative bacteria (CRGNB) and non-CRGNB in hematopoietic stem cell transplantation recipients. <bold>(A)</bold> The classification and percentage of CRGNB. <bold>(B)</bold> The trajectory tracking Sankey diagram among strain type, carbapenem resistance and survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-12-1098856-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Overview of CRGNB and non-CRGNB microbiology.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left">Characteristic</th>
<th valign="bottom" align="center">CRGNB (N=87)</th>
<th valign="bottom" align="center">Non-CRGNB (N=87)</th>
<th valign="bottom" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">Infection sites, n (%)</td>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center">0.013*</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Lung</td>
<td valign="bottom" align="center">49 (56.3%)</td>
<td valign="bottom" align="center">30 (34.5%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Bloodstream</td>
<td valign="bottom" align="center">34 (39.1%)</td>
<td valign="bottom" align="center">49 (56.3%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Others</td>
<td valign="bottom" align="center">4 (4.6%)</td>
<td valign="bottom" align="center">8 (9.2%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">Types of bacteria, n (%)</td>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center">&lt; 0.001*</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Klebsiella pneumoniae</td>
<td valign="bottom" align="center">22 (25.3%)</td>
<td valign="bottom" align="center">26 (29.9%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Pseudomonas aeruginosa</td>
<td valign="bottom" align="center">20 (23.0%)</td>
<td valign="bottom" align="center">14 (16.1%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Acinetobacter baumannii</td>
<td valign="bottom" align="center">18 (20.7%)</td>
<td valign="bottom" align="center">6 (6.9%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Escherichia coli</td>
<td valign="bottom" align="center">12 (13.8%)</td>
<td valign="bottom" align="center">31 (35.6%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Stenotrophomonas maltophilia</td>
<td valign="bottom" align="center">12 (13.8%)</td>
<td valign="bottom" align="center">0 (0%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Others</td>
<td valign="bottom" align="center">3 (3.4%)</td>
<td valign="bottom" align="center">10 (11.5%)</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">Multidrug resistant organisms, n (%)</td>
<td valign="bottom" align="center">71 (81.6%)</td>
<td valign="bottom" align="center">67 (77%)</td>
<td valign="bottom" align="center">0.574*</td>
</tr>
<tr>
<td valign="bottom" align="left">Antibiotic combination therapy, n (%)</td>
<td valign="bottom" align="center">36 (41.4%)</td>
<td valign="bottom" align="center">38 (43.7%)</td>
<td valign="bottom" align="center">0.878*</td>
</tr>
<tr>
<td valign="bottom" align="left">Drug resistance rates</td>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Quinolones</td>
<td valign="bottom" align="center">44 (50.6%)</td>
<td valign="bottom" align="center">5 (5.7%)</td>
<td valign="bottom" align="center">&lt; 0.001*</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Aminoglycosides</td>
<td valign="bottom" align="center">35 (40.2%)</td>
<td valign="bottom" align="center">50 (57.5%)</td>
<td valign="bottom" align="center">0.034*</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Piperacillin-tazobactam</td>
<td valign="bottom" align="center">64 (73.6%)</td>
<td valign="bottom" align="center">16 (18.4%)</td>
<td valign="bottom" align="center">&lt; 0.001*</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Tigecycline</td>
<td valign="bottom" align="center">42 (48.3%)</td>
<td valign="bottom" align="center">26 (29.9%)</td>
<td valign="bottom" align="center">0.02*</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Cephalosporin</td>
<td valign="bottom" align="center">52 (59.8%)</td>
<td valign="bottom" align="center">14 (16.1%)</td>
<td valign="bottom" align="center">&lt; 0.001*</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Sulfonamides</td>
<td valign="bottom" align="center">51 (58.6%)</td>
<td valign="bottom" align="center">63 (72.4%)</td>
<td valign="bottom" align="center">0.079</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*P values are statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Analysis of risk factors associated with acquisition of CRGNB infection</title>
<p>
<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> showed that in univariate analysis, engraftment time of platelet &gt; 20 days (<italic>P</italic>=0.002), engraftment time of neutrophil &gt; 14 days (<italic>P</italic>=0.030), inappropriate empiric antimicrobial therapy (<italic>P</italic>=0.002), use of carbapenems &gt; 3 days 1 month prior to infection (<italic>P</italic>=0.000), mechanical ventilation (<italic>P</italic>=0.004), admission to ICU after transplantation (<italic>P</italic>=0.000), and platelet transfusion volume &gt;10 PE (<italic>P</italic>=0.001) were associated with the acquisition of CRGNB. In Logistic multivariate analysis, only inappropriate empiric antimicrobial therapy (HR=2.679, 95% CI 1.302-5.511, <italic>P</italic>=0.007), use of carbapenems &gt; 3 days 1 month prior to infection (HR=2.988, 95% CI 1.398-6.388, <italic>P</italic>=0.005), admission to ICU after transplantation (HR=2.489, 95% CI 1.082-5.724, <italic>P</italic>=0.032) and platelet transfusion volume &gt;10 PE (HR=2.697, 95% CI 1.274-5.711, <italic>P</italic>=0.010) were identified as independent risk factors for CRGNB acquisition.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate analysis of CRGNB acquisition.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variable</th>
<th valign="middle" colspan="2" align="center">Univariate analysis</th>
<th valign="middle" colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Sex</td>
<td valign="middle" align="center">0.827 (0.452,1.513)</td>
<td valign="middle" align="center">0.538</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="center">1.009 (0.986,1.033)</td>
<td valign="middle" align="center">0.433</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Primary disease</td>
<td valign="middle" align="center">0.922 (0.751,1.131)</td>
<td valign="middle" align="center">0.435</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Infection sites</td>
<td valign="middle" align="center">1.399 (0.859,2.281)</td>
<td valign="middle" align="center">0.178</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Types of bacteria</td>
<td valign="middle" align="center">1.13 (0.946,1.351)</td>
<td valign="middle" align="center">0.178</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Interval from diagnosis to transplantation &gt; 180 days</td>
<td valign="middle" align="center">1.153 (0.578,2.297)</td>
<td valign="middle" align="center">0.686</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">History of relapse/refractory state</td>
<td valign="middle" align="center">1.433 (0.678,3.026)</td>
<td valign="middle" align="center">0.346</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Time of platelet engraftment &gt; 20 days</td>
<td valign="middle" align="center">2.758 (1.453,5.234)</td>
<td valign="middle" align="center">0.002*</td>
<td valign="middle" align="center">1.582 (0.719,3.485)</td>
<td valign="middle" align="center">0.255</td>
</tr>
<tr>
<td valign="middle" align="left">Time of neutrophil engraftment &gt; 14 days</td>
<td valign="middle" align="center">3.118 (1.677,5.794)</td>
<td valign="middle" align="center">0.030*</td>
<td valign="middle" align="center">1.35 (0.646,2.824)</td>
<td valign="middle" align="center">0.425</td>
</tr>
<tr>
<td valign="middle" align="left">Acute GVHD</td>
<td valign="middle" align="center">1.096 (0.605,1.987)</td>
<td valign="middle" align="center">0.762</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Urethral catheterization</td>
<td valign="middle" align="center">2.261 (0.954,5.36)</td>
<td valign="middle" align="center">0.064</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Hospital-acquired infection</td>
<td valign="middle" align="center">0.353 (0.09,1.377)</td>
<td valign="middle" align="center">0.134</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Inappropriate empiric antimicrobial treatment</td>
<td valign="middle" align="center">2.703 (1.46,5.004)</td>
<td valign="middle" align="center">0.002*</td>
<td valign="middle" align="center">2.679 (1.302,5.511)</td>
<td valign="middle" align="center">0.007*</td>
</tr>
<tr>
<td valign="middle" align="left">Use of carbapenems &gt; 3 days 1 month prior to infection</td>
<td valign="middle" align="center">3.843 (1.954,7.56)</td>
<td valign="middle" align="center">0.000*</td>
<td valign="middle" align="center">2.988 (1.398,6.388)</td>
<td valign="middle" align="center">0.005*</td>
</tr>
<tr>
<td valign="middle" align="left">Renal replacement therapy</td>
<td valign="middle" align="center">3.071 (0.313,30.12)</td>
<td valign="middle" align="center">0.335</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Mechanical ventilation</td>
<td valign="middle" align="center">3.868 (1.555,9.622)</td>
<td valign="middle" align="center">0.004*</td>
<td valign="middle" align="center">1.92 (0.62,5.948)</td>
<td valign="middle" align="center">0.258</td>
</tr>
<tr>
<td valign="middle" align="left">Special immunosuppressant<sup>#</sup>
</td>
<td valign="middle" align="center">1.917 (0.967,3.798)</td>
<td valign="middle" align="center">0.062</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Admission to ICU after transplantation</td>
<td valign="middle" align="center">4.625 (2.24,9.551)</td>
<td valign="middle" align="center">0.000*</td>
<td valign="middle" align="center">2.489 (1.082,5.724)</td>
<td valign="middle" align="center">0.032*</td>
</tr>
<tr>
<td valign="middle" align="left">Hospital stay &gt; 30 days</td>
<td valign="middle" align="center">0.924 (0.425,2.011)</td>
<td valign="middle" align="center">0.843</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Platelet transfusion volume &gt; 10 PE</td>
<td valign="middle" align="center">3.190 (1.648,6.173)</td>
<td valign="middle" align="center">0.001*</td>
<td valign="middle" align="center">2.697 (1.274,5.711)</td>
<td valign="middle" align="center">0.010*</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GVHD, graft-versus-host disease; ICU, intensive care unit; OR, odds ratio; CI, confidence interval.</p>
</fn>
<fn>
<p>
<sup>#</sup>Special immunosuppressants here mainly refer to ruxolitinib and balliximab.</p>
</fn>
<fn>
<p>*P values are statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Analysis of risk factors associated with death from CRGNB infection</title>
<p>The comparison between death group and survival group was shown in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>. Gender (<italic>P</italic>=0.006), infection sites (<italic>P</italic>=0.001), interval from diagnosis to transplantation &gt; 180 days (<italic>P</italic>=0.001), renal replacement therapy (<italic>P</italic>=0.018), mechanical ventilation (<italic>P</italic>=0.001), septic shock (<italic>P</italic>=0.000), platelet count &lt; 20 &#xd7; 10<sup>9</sup>/L (<italic>P</italic>=0.004), albumin &lt; 30 g/L (<italic>P</italic>=0.008), total bilirubin &gt; 34.2 &#x3bc;mol/L (<italic>P</italic>=0.007) and procalcitonin &gt; 5 &#x3bc;g/L (<italic>P</italic>=0.001) at the beginning of infection were significantly different between the two groups in univariate analysis. In Cox multivariate analysis, interval from diagnosis to transplantation &gt;180 days (HR=7.886, 95% CI 2.624-23.703, <italic>P</italic>=0.000), septic shock (HR=6.182, 95% CI 2.605-14.671, <italic>P</italic>=0.000), platelet count &lt; 20 &#xd7; 10<sup>9</sup>/L (HR=2.615, 95% CI 1.152-5.934, <italic>P</italic>=0.022) and total bilirubin &gt; 34.2 &#x3bc;mol/L (HR=7.348, 95% CI 2.966-18.202, <italic>P</italic>=0.000) at the initial stage of infection were 4 independent risk factors associated with mortality.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate and multivariate analysis of risk factors for 100-day mortality of CRGNB infection.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variable</th>
<th valign="middle" colspan="2" align="center">Univariate analysis</th>
<th valign="middle" colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age &gt; 50 years</td>
<td valign="middle" align="center">0.546 (0.214,1.394)</td>
<td valign="middle" align="center">0.206</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="center">2.752 (1.344,5.634)</td>
<td valign="middle" align="center">0.006*</td>
<td valign="middle" align="center">1.303 (0.515,3.298)</td>
<td valign="middle" align="center">0.576</td>
</tr>
<tr>
<td valign="middle" align="left">Infection sites</td>
<td valign="middle" align="center">0.371 (0.207,0.666)</td>
<td valign="middle" align="center">0.001*</td>
<td valign="middle" align="center">1.216(0.557,2.657)</td>
<td valign="middle" align="center">0.624</td>
</tr>
<tr>
<td valign="middle" align="left">Interval from diagnosis to transplantation &gt; 180 days</td>
<td valign="middle" align="center">3.692 (1.702,8.008)</td>
<td valign="middle" align="center">0.001*</td>
<td valign="middle" align="center">7.886 (2.624,23.703)</td>
<td valign="middle" align="center">0.000*</td>
</tr>
<tr>
<td valign="middle" align="left">Acute GVHD</td>
<td valign="middle" align="center">0.864 (0.468,1.596)</td>
<td valign="middle" align="center">0.641</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Inappropriate empiric antimicrobial treatment</td>
<td valign="middle" align="center">1.166 (0.611,2.227)</td>
<td valign="middle" align="center">0.641</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Use of carbapenems &gt; 3 days 1 month prior to infection</td>
<td valign="middle" align="center">1.353 (0.599,3.054)</td>
<td valign="middle" align="center">0.467</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Renal replacement therapy</td>
<td valign="middle" align="center">4.325 (1.284,14.572)</td>
<td valign="middle" align="center">0.018*</td>
<td valign="middle" align="center">1.387 (0.296,6.508)</td>
<td valign="middle" align="center">0.678</td>
</tr>
<tr>
<td valign="middle" align="left">Mechanical ventilation</td>
<td valign="middle" align="center">3.042 (1.624,5.701)</td>
<td valign="middle" align="center">0.001*</td>
<td valign="middle" align="center">2.162 (0.923,5.066)</td>
<td valign="middle" align="center">0.076</td>
</tr>
<tr>
<td valign="middle" align="left">Septic shock</td>
<td valign="middle" align="center">5.027 (2.69,9.395)</td>
<td valign="middle" align="center">0.000*</td>
<td valign="middle" align="center">6.182 (2.605,14.671)</td>
<td valign="middle" align="center">0.000*</td>
</tr>
<tr>
<td valign="middle" align="left">Indicators within 24 hours of infection</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Neutrophil count &lt; 0.5&#xd7;10<sup>9</sup>/L</td>
<td valign="middle" align="center">1.060 (0.573,1.959)</td>
<td valign="middle" align="center">0.853</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Platelet count &lt; 20&#xd7;10<sup>9</sup>/L</td>
<td valign="middle" align="center">2.479 (1.34,4.586)</td>
<td valign="middle" align="center">0.004*</td>
<td valign="middle" align="center">2.615 (1.152,5.934)</td>
<td valign="middle" align="center">0.022*</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Procalcitonin &gt; 5 &#x3bc;g/L</td>
<td valign="middle" align="center">2.761 (1.482,5.143)</td>
<td valign="middle" align="center">0.001*</td>
<td valign="middle" align="center">1.995 (0.928,4.288)</td>
<td valign="middle" align="center">0.077</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Albumin &lt; 30 g/L</td>
<td valign="middle" align="center">2.32 (1.249,4.311)</td>
<td valign="middle" align="center">0.008*</td>
<td valign="middle" align="center">1.065 (0.485,2.337)</td>
<td valign="middle" align="center">0.875</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Total bilirubin &gt; 34.2 &#x3bc;mol/L</td>
<td valign="middle" align="center">2.489 (1.283,4.83)</td>
<td valign="middle" align="center">0.007*</td>
<td valign="middle" align="center">7.348 (2.966,18.202)</td>
<td valign="middle" align="center">0.000*</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Creatinine &gt; 177 &#x3bc;mol/L</td>
<td valign="middle" align="center">2.790 (0.383,20.30)</td>
<td valign="middle" align="center">0.311</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Antibiotic combination therapy</td>
<td valign="middle" align="center">1.234 (0.667,2.28)</td>
<td valign="middle" align="center">0.503</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Engraftment period &gt; 20 days</td>
<td valign="middle" align="center">1.593 (0.825,3.078)</td>
<td valign="middle" align="center">0.166</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GVHD, graft-versus-host disease; HR, hazard ratio; CI, confidence interval.</p>
</fn>
<fn>
<p>*P values are statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The Kaplan-Meier curves of each independent risk factor were shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. Patients with interval from diagnosis to transplantation &gt; 180 days (36.5% vs. 77.1%, <italic>P</italic>=0.001), septic shock (15.4% vs. 68.9%, <italic>P</italic>&lt;0.001), platelet count &lt; 20 &#xd7; 10<sup>9</sup>/L (37.5% vs. 61.8%, <italic>P</italic>=0.003) and total bilirubin &gt; 34.2 &#x3bc;mol/L (31.6% vs. 58.8%, <italic>P</italic>=0.006) at the initial stage of infection had significantly lower survival rates.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Survival comparison of patients with independent risk factors (Kaplan-Meier curve). <bold>(A)</bold> Time interval from diagnosis to transplantation &gt;180 days vs. &lt; 180 days (36.5% vs. 77.1%, <italic>P</italic>=0.001); <bold>(B)</bold> Septic shock vs. non- septic shock (15.4% vs. 68.9%, <italic>P</italic>&lt;0.001); <bold>(C)</bold> Platelet count &lt; 20 &#xd7; 10<sup>9</sup>/L vs. &gt; 20 &#xd7; 10<sup>9</sup>/L (37.5% vs. 61.8%, <italic>P</italic>=0.003) at the initial stage of infection; <bold>(D)</bold> Total bilirubin &gt; 34.2 &#x3bc;mol/L vs. &lt; 34.2 &#x3bc;mol/L (31.6% vs. 58.8%, <italic>P</italic>=0.006) at the initial stage of infection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-12-1098856-g002.tif"/>
</fig>
<p>In order to quantitatively predict the 100-day survival rate of HSCT recipients with CRGNB infection, the above independent factors were used to establish a nomogram (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>), and the C-index was 0.806. Meanwhile, the calibration plot also confirmed a good consistency between the predicted value of the normograph and the actual OS of CRGNB patients (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, C</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Construction and validation of prediction model for overall survival (OS). <bold>(A)</bold> Establishment of OS nomogram; <bold>(B)</bold> Receiver operating characteristics curve (ROC) of OS nomogram model; <bold>(C)</bold> Calibration plots of OS nomogram model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-12-1098856-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Although global attention is now focused on COVID-19, carbapenem resistance remains a serious threat to international public health, and can even be considered an &#x201c;underestimated silent pandemic&#x201d;. Infections caused by GNB, particularly CRGNB, are becoming increasingly problematic in HSCT recipients (<xref ref-type="bibr" rid="B46">Satlin et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B50">Su et&#xa0;al., 2021</xref>).</p>
<p>In this work, we revealed the crude infection rate of CRGNB in HSCT recipients was 7.4% (87/1173). It is well-known that geographical differences in GNB resistance are striking. In some researches, including HSCT patients, the incidence of CRGNB ranged from 0% in Sweden (<xref ref-type="bibr" rid="B9">Blennow et&#xa0;al., 2014</xref>) to 4.7-5.8% in the United States (<xref ref-type="bibr" rid="B45">Satlin et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B47">See et&#xa0;al., 2016</xref>) and 20.9% in Italy (<xref ref-type="bibr" rid="B51">Trecarichi et&#xa0;al., 2015</xref>). In general, carbapenem resistance in Asia was more serious than that in Europe and the United States. Further analysis showed that lung was the most common site of infection, followed by bloodstream. Here, the incidence of CRGNB bacteremia was 2.90% (34/1173), lower than the 8.10% reported by Ding LM et&#xa0;al. (<xref ref-type="bibr" rid="B20">Ding et&#xa0;al., 2021</xref>). This may be related to patients&#x2019; refusal to repeatedly draw blood due to personal factors such as illness, financial or psychological pressure, which leads to limited blood culture times and low positive rates. Unlike the invasive operation of blood collection, the method of obtaining sputum culture samples was relatively easy to be accepted, so the detection rate of pulmonary infection in our data was higher. The mortality of CRGNB infection calculated here was 47.1%, much higher than that of non-CRGNB infection group (25.3%), and this difference was similar to previous reports (<xref ref-type="bibr" rid="B4">Averbuch et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B52">Vinker-Shuster et&#xa0;al., 2019</xref>).</p>
<p>As for antibiotic sensitivity, our data indicated that the resistance rates of CRGNB infected by HSCT recipients to commonly used quinolones, cephalosporins, sulfonamides and piperacillin-tazobactam were all over 50%, only relatively sensitive to some aminoglycosides and TGC, but the situation was not optimistic either. Studies have suggested that TGC has good <italic>in vitro</italic> activity against CRGNB strains, with a sensitivity to carbapenem resistant Klebsiella pneumoniae and Escherichia coli of 94.2% and 100%, respectively. Moreover, it is also effective for most ventilator-associated pneumonia caused by CRAB. However, a meta-analysis, which included 13 randomized clinical trials, showed that TGC was positively associated with increased mortality (<xref ref-type="bibr" rid="B13">Chen et&#xa0;al., 2020</xref>). In particular, TGC is a bacteriostatic agent that cannot directly kill bacteria, which severely limits its therapeutic reactivity in immunosuppressed hosts (<xref ref-type="bibr" rid="B46">Satlin et&#xa0;al., 2014</xref>). Fortunately, the introduction of some new antibiotics in recent years has greatly improved the therapeutic effect of CRGNB infection. For example, Ceftolozane/tazobactam (C/T) was proved to have good activity against CRPA. In addition, compared with polymyxins and aminoglycosides, it can bring higher clinical cure rate and less acute kidney injury (<xref ref-type="bibr" rid="B37">Pogue et&#xa0;al., 2020</xref>). But even so, the activity of C/T against Acinetobacter and Stenotrophomonas maltophilia is still very limited (<xref ref-type="bibr" rid="B55">Yahav et&#xa0;al., 2020</xref>). Ceftazidime avibactam (CTV) is a &#x3b2;-lactam/&#x3b2;-lactamase inhibitor combination. At present, many investigations have confirmed that CTV has excellent performance on CRGNB, especially CRKP, infected in the population after HSCT and solid organ transplantation (<xref ref-type="bibr" rid="B14">Chen et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B17">Clerici et&#xa0;al., 2021</xref>). However, in an <italic>in vitro</italic> experiment, researchers found that CRGNB isolated from patients&#x2019; blood and stool samples was resistant to CTV at a rate of 91% (<xref ref-type="bibr" rid="B34">Niyazi et&#xa0;al., 2022</xref>). Furthermore, CTV has not yet shown efficacy on CRPA and CRAB (<xref ref-type="bibr" rid="B12">Chalhoub et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B44">Sanz-Garc&#xed;a et&#xa0;al., 2018</xref>).</p>
<p>Meropenem-vaborbactam (MEV) is a combination of meropenem and vaborbactam, a new generation &#x3b2;-lactamase inhibitor. Alosaimi S et&#xa0;al. pointed out in a multicenter study from the real world that MEV has positive clinical results and safety in GNB infections, including CRE and CRPA (<xref ref-type="bibr" rid="B3">Alosaimy et&#xa0;al., 2021</xref>).</p>
<p>Imipenem/cilastatin/relebactam (Recarbrio&#x2122;) is an intravenously administered combination of the carbapenem imipenem, the renal dehydropeptidase-I inhibitor cilastatin, and the novel &#x3b2;-lactamase inhibitor relebactam. It has been approved for the anti-infective treatment of CRE and CRPA (<xref ref-type="bibr" rid="B24">Heo, 2021</xref>). However, the addition of relebactam does not enhance the sensitivity of imipenem to Acinetobacter baumannii and Stenotrophomonas maltophilia (<xref ref-type="bibr" rid="B39">Principe et&#xa0;al., 2022</xref>). Cefiderocol is a novel siderophore cephalosporin with potent <italic>in vitro</italic> activity against gram-negative pathogens including MDR Enterobacteriaceae and non-fermenting organisms, such as Pseudomonas aeruginosa, Acinetobacter baumannii, Burkholderia cepacia, and Stenotrophomonas maltophilia (<xref ref-type="bibr" rid="B1">Abdul-Mutakabbir et&#xa0;al., 2020</xref>).</p>
<p>In addition to the above-mentioned &#x201c;new antibiotics&#x201d;, some relatively &#x201c;ancient&#x201d; preparations have also entered people&#x2019;s vision again. For example, colistin, as an antibacterial agent started to be used in the 1950s, is active against a variety of GNB such as Acinetobacter baumannii, Pseudomonas aeruginosa, Escherichia coli and Klebsiella pneumoniae. Recently, because of the emergence of &#x201c;superbacteria&#x201d; that are resistant to other antibiotics, colistin has been revived as a salvage treatment for MDR and XDR GNB infections (<xref ref-type="bibr" rid="B22">El-Sayed Ahmed et&#xa0;al., 2020</xref>). It should be noted that on account of the narrow therapeutic window, the nephrotoxicity and neurotoxicity caused by colistin still need special attention. Interestingly, a report from Pakistan in 2021 demonstrated that even in patients with impaired renal function, colistin can effectively eliminate bacteremia, with minimal and reversible adverse reactions (<xref ref-type="bibr" rid="B5">Babar et&#xa0;al., 2021</xref>). Fosfomycin has high activity to Enterobacteriaceae, but it is ineffective to non-fermentative bacteria due to inherent resistance (<xref ref-type="bibr" rid="B43">Samonis et&#xa0;al., 2010</xref>), and its sensitivity to anaerobic bacteria is also very limited (<xref ref-type="bibr" rid="B10">Boyanova, 2015</xref>). Whereas, in some studies, fosfomycin has been shown to reduce the MIC of bacteria to other antibiotics, thereby restoring their sensitivity to non-fermenting bacteria (<xref ref-type="bibr" rid="B31">Mikhail et&#xa0;al., 2019</xref>). Unfortunately, owing to the actual factors such as the time when drugs are approved for marketing, drug prices, medical insurance system, and patients&#x2019; economic affordability, many antibiotics have not been widely used in our patients. At the same time, some corresponding drug sensitivity tests were not carried out, resulting in incomplete data that could not be included in subsequent statistical analysis.</p>
<p>Not surprisingly, the mortality of HSCT recipients in the CRGNB infected group was significantly higher than that in the matched non-CRGNB group (47.1% vs. 25.3%). Further multivariate analysis revealed that the interval from diagnosis to transplantation &gt; 180 days, septic shock, low platelet count and high bilirubin level at the initial stage of infection were independent risk factors for death. In previous reports, we have described the adverse effects of extended transplant interval: persistent disease state, multiple chemotherapy treatments, low immunity, poor body function, delayed donor cells implantation, etc (<xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2022</xref>). This is why both domestic and international guidelines unanimously recommend early transplantation for eligible patients (<xref ref-type="bibr" rid="B8">Blackburn et&#xa0;al., 2019</xref>). However, the fact is, due to age, personal financial situation, family support, medical environment, donor factors, etc., there are still many patients cannot receive HSCT within the optimal time range, which affects the prognosis to some extent.</p>
<p>The conclusion that septic shock was an independent risk factor associated with mortality in CRGNB patients is similar to previous reports (<xref ref-type="bibr" rid="B40">Qiao et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B2">Aguado et&#xa0;al., 2018</xref>). This seems to be expected, since septic shock is one of the most critical indicators of disease severity. This finding emphasizes the importance of early identification and treatment, which may improve survival for patients with septic shock and the resulting respiratory and heart failure (<xref ref-type="bibr" rid="B54">Wu et&#xa0;al., 2021</xref>).</p>
<p>The primary risk of extremely low platelet count at the initial stage of infection is bleeding, especially in important organs and intracranial hemorrhage. Meanwhile, it is also a side warning of patients&#x2019; insufficient hematopoietic recovery ability. Infection, severe bleeding, and delayed hematopoietic reconstruction undoubtedly bring great obstacles to the rehabilitation of patients after transplantation.</p>
<p>A high level of serum total bilirubin means poor liver function, which may be caused by underlying liver-related diseases (such as viral hepatitis), or drug-induced liver damage. But either way, it will lay a &#x201c;time bomb&#x201d; for the future development of hepatic veno-occlusive disease (HVOD) or liver rejection (<xref ref-type="bibr" rid="B56">Yoon et&#xa0;al., 2021</xref>). HVOD is one of the most serious complications after HSCT, and the mortality of severe patients can be up to 50% (<xref ref-type="bibr" rid="B7">Bajwa et&#xa0;al., 2017</xref>). The main clinical manifestations include fluid retention, ascites, weight gain, jaundice, hepatomegaly and pain, and even multiple organ failure. Researches learned that the risk factors of HVOD involve multiple aspects, such as patient&#x2019;s primary disease, age, complications, increased serum ferritin, acute renal failure, transplantation type, pretreatment regimen, and anti-GVHD drugs (<xref ref-type="bibr" rid="B18">Corbacioglu et&#xa0;al., 2019</xref>). Therefore, avoiding hepatotoxic drugs as much as possible and strengthening liver function protection to reduce the occurrence of HVOD have a positive effect on improving the survival rate of patients after transplantation. Currently, ursodeoxycholic acid (UDCA) and defibrotide (DF) have been recommended for the prevention of HVOD (<xref ref-type="bibr" rid="B11">Carreras, 2012</xref>; <xref ref-type="bibr" rid="B19">Dignan et&#xa0;al., 2013</xref>). DF is also approved for the treatment of HVOD by the United States Food and Drug Administration (FDA) and the European Union (<xref ref-type="bibr" rid="B18">Corbacioglu et&#xa0;al., 2019</xref>). Although some other drugs such as prostaglandin E1 (PGE1) have also been reported to have therapeutic effects on HVOD, their exact efficacy still needs to be further verified by prospective clinical studies (<xref ref-type="bibr" rid="B19">Dignan et&#xa0;al., 2013</xref>).</p>
<p>Admittedly, there are some limitations to our study. First, due to the retrospective nature, we cannot perform molecular analyses to identify the types of carbapenemases produced by CRGNB organisms. Second, this is a single-center cohort study, so the results may not be popularized to other regions. Third, as previously mentioned, clinical data and efficacy assessments for some novel antibiotics are not yet available. However, this exactly reflects the actual problems faced by different regions of the world in the utilization of medical resources at this stage. By reviewing a large number of literatures, we summarized the relevant information on the use of antibiotics against CRGNB, hoping to provide reference for medical staff in the future treatment options.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In short, HSCT recipients are prone to CRGNB infection, and the drug resistance rate and mortality rate are extremely high. Interval from diagnosis to transplantation &gt;180 days, septic shock, platelet count &lt; 20 &#xd7; 10<sup>9</sup>/L and total bilirubin &gt; 34.2 &#x3bc;mol/L at the initial stage of infection were 4 independent risk factors associated with death. Shortening the transitional waiting time of transplant population, strengthening liver function screening and protection, appropriate platelet transfusion to reduce bleeding risk, and early identification and timely correction of shock will help improve the prognosis of patients.</p>
</sec>
<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 author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YJ and YFL were involved in the study conception and design. YunL, YiL, ZY and XC participated in the data management. All authors participated in the interpretation and statistical analysis of data. YJ wrote the draft and YFL revised it. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (no. 81600135), Natural Science Foundation of Hunan Province (no. 2021JJ41011), and Beijing Xisike Clinical Oncology Research Foundation (no. Y-SY2021QN-0010).</p>
</sec>
<sec id="s9" 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="s10" 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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