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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2026.1770408</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Characteristics and risk factors of postoperative pneumonia after emergency surgery in tertiary general hospitals (2015&#x2013;2024): a 10-year comparative analysis with elective surgery</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wu</surname>
<given-names>Zhenzhen</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="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3319977"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zheng</surname>
<given-names>Zhigang</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yu</surname>
<given-names>Zhenghao</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2863179"/>
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<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Xiaoli</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yunxi</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Du</surname>
<given-names>Mingmei</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yao</surname>
<given-names>Hongwu</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/952038"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bai</surname>
<given-names>Yanling</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Infection Prevention and Control, Zhengzhou Central Hospital Affiliated to Zhengzhou University</institution>, <city>Zhengzhou</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Disease Control and Prevention, The First Medical Center of Chinese PLA General Hospital</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Fuxing Road Outpatient Department, Jingnan Medical District of Chinese PLA General Hospital</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Medical School of Chinese PLA</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Yanling Bai, <email xlink:href="mailto:446208615@qq.com">446208615@qq.com</email>; Hongwu Yao, <email xlink:href="mailto:arenewu@163.com">arenewu@163.com</email>; Mingmei Du, <email xlink:href="mailto:dumingm@163.com">dumingm@163.com</email></corresp>
<fn fn-type="equal" id="fn0001"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-20">
<day>20</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1770408</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Wu, Zheng, Yu, Wu, Liu, Du, Yao and Bai.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Wu, Zheng, Yu, Wu, Liu, Du, Yao and Bai</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-20">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>To analyze the characteristics and risk factors of postoperative pneumonia (POP) in emergency surgery at tertiary general hospitals, aiming to provide scientific evidence for early screening of high-risk populations and optimization of POP prevention strategies.</p>
</sec>
<sec>
<title>Methods</title>
<p>A retrospective analysis was performed on POP data from emergency and elective surgery patients between 2015 and 2024. Infection characteristics were compared between the two groups.</p>
</sec>
<sec>
<title>Results</title>
<p>Among 399,347 surgical patients, 2,478 (0.62%) developed POP. The incidence of POP was significantly higher in emergency surgery (2.28%) than in elective surgery (0.53%, <italic>p</italic> &#x003C;&#x202F;0.001). Emergency surgery departments with the highest POP incidence were neurosurgery (18.30%), cardiovascular surgery (12.24%), and thoracic surgery (9.04%). Predominant pathogens were Gram-negative bacteria, followed by fungi and Gram-positive bacteria. The detection rate of multidrug-resistant organisms (MDROs) was significantly higher in emergency surgery than in elective surgery (42.19% vs. 32.90%, <italic>p</italic> &#x003C;&#x202F;0.001), with the most common MDROs being pandrug-resistant <italic>Acinetobacter baumannii</italic> (PDR-AB), carbapenem-resistant Enterobacteriaceae (CRE), and pandrug-resistant <italic>Pseudomonas aeruginosa</italic> (PDR-PA). Multivariate analysis showed that preoperative hospitalization duration of 6&#x2013;48&#x202F;h was a protective factor for POP in emergency surgery; male sex, age &#x2265;60&#x202F;years, admission to ICU, ASA score &#x2265;3, general anesthesia, surgical duration &#x2265;3&#x202F;h, and intraoperative blood loss &#x003E;1,000&#x202F;mL were independent risk factors (<italic>p</italic> &#x003C;&#x202F;0.05).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Emergency surgery carries a significantly higher risk of POP than elective surgery. Special attention should be paid to patients undergoing neurosurgery, cardiovascular surgery, and thoracic surgery. For patients with identified risk factors, enhanced perioperative management and individualized preventive strategies are essential to reduce POP incidence and improve emergency surgery outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>elective surgery</kwd>
<kwd>emergency surgery</kwd>
<kwd>nosocomial infections</kwd>
<kwd>postoperative pneumonia</kwd>
<kwd>risk factor</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was funded by the High-level Public Health Technical Talent Training Program (Discipline Backbone) of Beijing Municipal Health Commission, grant no. Discipline Backbone-1-008.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="11"/>
<word-count count="6488"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Diseases: Epidemiology and Prevention</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Postoperative pneumonia (POP) is a prevalent surgical complication and major type of hospital-acquired infection, accounting for 50% of all hospital-acquired pneumonia cases (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). It not only significantly prolongs hospital stays and increases medical costs but also elevates patient mortality risk (<xref ref-type="bibr" rid="ref3">3</xref>). Literature indicates that high POP rates (32&#x2013;39%) have been reported in thoracic and abdominal surgeries, particularly high-risk procedures such as cardiac surgery, esophagectomy, and lung transplantation (<xref ref-type="bibr" rid="ref4">4</xref>), and POP incidence is significantly higher in emergency surgery patients than in elective surgery patients (<xref ref-type="bibr" rid="ref5">5</xref>), rendering emergency surgery a key risk factor for POP. This higher risk may be attributed to several factors: emergency patients often present with severe, rapidly progressive conditions (e.g., trauma, septic shock, acute organ failure); key preoperative infection control measures&#x2014;such as management of underlying diseases, respiratory function optimization, and prophylactic antibiotic administration&#x2014;are frequently inadequately implemented; and prolonged postoperative immobility and delayed pulmonary function recovery further increase complication risk.</p>
<p>To our knowledge, most current studies focus on POP risk factors and prevention strategies in elective surgery, while systematic research on emergency surgery&#x2014;where infection rates are higher&#x2014;remains insufficient. Therefore, this study retrospectively analyzed data from 2015 to 2024 to investigate POP characteristics in emergency surgery, including infection rates, high-incidence departments, pathogen profiles, and potential risk factors. These characteristics were further compared with those of elective surgery, aiming to provide scientific evidence for POP prevention and control in emergency surgery.</p>
<p>Also, in In April 2024, the Hospital Management Institute of China&#x2019;s National Health Commission issued the &#x201C;Initiative to Strengthen Perioperative Infection Prevention and Control to Ensure Surgical Quality and Safety&#x201D; (hereafter &#x201C;Infection-Surgery Initiative&#x201D;), which identifies gradual reduction of POP incidence as a primary objective. We conducted this research in order to provide data support for the &#x201C;Infection-Surgery Initiative.&#x201D;</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Materials</title>
<p>This study included all patients who underwent surgical procedures at a large tertiary hospital in Beijing, China, between January 1, 2015, and December 31, 2024. A total of 399,347 cases met the inclusion and exclusion criteria, among which 2,478 developed POP. The POP cohort consisted of 1,547 males and 931 females, with ages ranging from 1 to 94&#x202F;years and a mean age of 60.07&#x202F;&#x00B1;&#x202F;15.38&#x202F;years. The flowchart of patient selection is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. This study was approved by the hospital&#x2019;s Ethics Committee (approval number: S2019-142-02).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The flowchart of patient selection.</p>
</caption>
<graphic xlink:href="fpubh-14-1770408-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart diagram depicting patient selection for a surgical study: out of 437,269 patients from 2015 to 2024, 37,922 were excluded, leaving 399,347 patients grouped by clinical urgency into emergency surgery (21,344) and elective surgery (378,003). Emergency surgery resulted in 486 with and 20,858 without postoperative pneumonia, while elective surgery had 1,992 with and 376,011 without postoperative pneumonia.</alt-text>
</graphic>
</fig>
<p>Inclusion criteria: (1) Fulfilled surgical indications and underwent surgical procedures; (2) Hospitalization duration exceeded 48&#x202F;h; (3) Complete medical records were available.</p>
<p>Exclusion criteria: (1) Outpatient surgery; (2) Internal medicine interventional procedures and diagnostic operations; (3) Preoperative pulmonary infection; (4) Incomplete medical records.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Data collection</title>
<p>Clinical data were obtained from the &#x201C;Hospital Infection Real-time Monitoring System,&#x201D; an established platform developed by the PLA General Hospital. This system integrates real-time data from the Hospital Information System (HIS), Laboratory Information System (LIS), Electronic Medical Record (EMR) and other systems. It generates automated alerts for potential infections, which were manually reviewed and validated by full-time infection control specialists to ensure diagnostic accuracy and exclude false positives. The following variables were extracted for analysis: baseline characteristics (age, gender, underlying diseases, and length of hospital stay), patients&#x2019; past medical history (primary pulmonary disease, hypertension, diabetes, and tumor), surgical data (surgical specialty, type of surgery, surgical duration, anesthesia method, intraoperative blood loss, and American Society of Anesthesiologists [ASA] score), and outcomes (infection onset time, clinical symptoms, and pathogens).</p>
<p>Patients were categorized into the emergency surgery group or the elective surgery group based on clinical urgency. For the purpose of this study, emergency surgery was defined as any surgical procedure performed on critically ill patients admitted to the emergency department that required immediate intervention, or on inpatients who required urgent surgery due to acute changes in their clinical condition. Conversely, elective surgery was defined as a pre-planned, scheduled procedure performed at a time convenient to both the patient and the surgeon.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Diagnostic criteria</title>
<p>The diagnosis of nosocomial infection is confirmed by infection control professional staff and clinicians based on the &#x201C;CDC/NHSN Surveillance Definitions for Specific Types of Infections&#x201D; (<xref ref-type="bibr" rid="ref6">6</xref>) through bacteriological culture, routine examination, clinical symptom observation and imaging examination and other methods. POP is defined as pneumonia that develops within 30&#x202F;days after surgery, including ventilator-associated pneumonia (VAP) (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Indicator calculation method: POP%&#x202F;=&#x202F;No. of new cases of pneumonia after surgery in emergency/elective inpatients/Number of surgeries in emergency/elective inpatients during the same period&#x202F;&#x00D7;&#x202F;100%.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Pathogen identification and drug sensitivity testing</title>
<p>All specimens were routinely inoculated onto Mueller-Hinton agar and incubated at 35&#x202F;&#x00B0;C for 24&#x202F;h. Following isolation and purification, bacterial strains were identified, and antimicrobial susceptibility testing was performed using the VITEK-22 automated microbial analysis system (BioM&#x00E9;rieux, Marcy-l&#x2019;&#x00C9;toile, France). Multidrug-resistant organisms (MDROs) were defined as bacteria resistant to three or more classes of antimicrobial agents. According to the provisional definition criteria for MDROs (<xref ref-type="bibr" rid="ref7">7</xref>), the targeted strains primarily included methicillin-resistant <italic>Staphylococcus aureus</italic> (MRSA), methicillin-resistant <italic>Staphylococcus epidermidis</italic> (MRSE), pandrug-resistant <italic>Acinetobacter baumannii</italic> (PDR-AB), pandrug-resistant <italic>Pseudomonas aeruginosa</italic> (PDR-PA) and Carbapenem-resistant Enterobacteriaceae (CRE). For patients with multiple identical isolates detected from the same anatomical site, only the first isolate was included in the analysis.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Continuous data conforming to a normal distribution were expressed as mean and standard deviation; Continuous data with a non-normal distribution were presented as median and Interquartile Range (IQR), and comparisons between groups were performed using the Mann&#x2013;Whitney U test. Categorical data were presented as frequencies and percentages, with comparisons between two groups performed using the <italic>&#x03C7;</italic><sup>2</sup> test or Fisher&#x2019;s exact test. All factors with statistical significance in univariate analysis were included in multivariate regression analysis using a binary logistic regression model. Odds ratios (OR) and 95% confidence intervals (CI) were calculated. A two-tailed <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 was considered statistically significant. All statistical analyses were conducted using SPSS software (version 27.0; SPSS Inc., Chicago, IL, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="sec8">
<label>3</label>
<title>Results</title>
<sec id="sec9">
<label>3.1</label>
<title>Incidence of POP in different years</title>
<p>A total of 399,347 surgical patients were included between 2015 and 2024, among whom 2,478 were diagnosed with POP, resulting in an overall POP incidence of 0.62%. The incidence of POP was significantly higher in emergency surgery (2.28%, 486/21,344) than in elective surgery (0.53%, 1,992/378,003; <italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;23.73, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). These POP cases included 217 cases (44.65%) of VAP in the emergency group and 437 cases (21.94%) in the elective group (<italic>&#x03C7;</italic><sup>2</sup> =&#x202F;103.74, <italic>p</italic> &#x003C;&#x202F;0.001). Trend analysis revealed that the incidence of POP in elective surgery decreased from 0.76% in 2015 to 0.43% in 2024 (<italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;90.05, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). In contrast, the incidence of POP in emergency surgery ranged from a low of 1.62% in 2015 to a high of 2.86% in 2019, with no statistically significant difference observed over the study period (<italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;14.79, <italic>p</italic>&#x202F;=&#x202F;0.097), as shown in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Incidence of POP in emergency and elective surgery from 2015 to 2024.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Year</th>
<th align="center" valign="top" colspan="3">Emergency surgery</th>
<th align="center" valign="top" colspan="3">Elective surgery</th>
</tr>
<tr>
<th align="center" valign="top">No. of surgical cases</th>
<th align="center" valign="top">No. of infected cases</th>
<th align="center" valign="top">Infection rate (%)</th>
<th align="center" valign="top">No. of surgical cases</th>
<th align="center" valign="top">No. of infected cases</th>
<th align="center" valign="top">Infection rate (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">2015</td>
<td align="center" valign="middle">2,832</td>
<td align="center" valign="middle">46</td>
<td align="char" valign="bottom" char=".">1.62</td>
<td align="center" valign="middle">35,339</td>
<td align="center" valign="middle">270</td>
<td align="char" valign="bottom" char=".">0.76</td>
</tr>
<tr>
<td align="left" valign="middle">2016</td>
<td align="center" valign="middle">2,708</td>
<td align="center" valign="middle">61</td>
<td align="char" valign="bottom" char=".">2.25</td>
<td align="center" valign="middle">36,043</td>
<td align="center" valign="middle">252</td>
<td align="char" valign="bottom" char=".">0.70</td>
</tr>
<tr>
<td align="left" valign="middle">2017</td>
<td align="center" valign="middle">2,666</td>
<td align="center" valign="middle">58</td>
<td align="char" valign="bottom" char=".">2.18</td>
<td align="center" valign="middle">37,489</td>
<td align="center" valign="middle">206</td>
<td align="char" valign="bottom" char=".">0.55</td>
</tr>
<tr>
<td align="left" valign="middle">2018</td>
<td align="center" valign="middle">2,406</td>
<td align="center" valign="middle">59</td>
<td align="char" valign="bottom" char=".">2.45</td>
<td align="center" valign="middle">42,235</td>
<td align="center" valign="middle">168</td>
<td align="char" valign="bottom" char=".">0.40</td>
</tr>
<tr>
<td align="left" valign="middle">2019</td>
<td align="center" valign="middle">2,444</td>
<td align="center" valign="middle">70</td>
<td align="char" valign="bottom" char=".">2.86</td>
<td align="center" valign="middle">44,730</td>
<td align="center" valign="middle">237</td>
<td align="char" valign="bottom" char=".">0.53</td>
</tr>
<tr>
<td align="left" valign="middle">2020</td>
<td align="center" valign="middle">1,416</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="bottom" char=".">2.82</td>
<td align="center" valign="middle">25,648</td>
<td align="center" valign="middle">114</td>
<td align="char" valign="bottom" char=".">0.44</td>
</tr>
<tr>
<td align="left" valign="middle">2021</td>
<td align="center" valign="middle">1,547</td>
<td align="center" valign="middle">41</td>
<td align="char" valign="bottom" char=".">2.65</td>
<td align="center" valign="middle">38,122</td>
<td align="center" valign="middle">176</td>
<td align="char" valign="bottom" char=".">0.46</td>
</tr>
<tr>
<td align="left" valign="middle">2022</td>
<td align="center" valign="middle">1,715</td>
<td align="center" valign="middle">30</td>
<td align="char" valign="bottom" char=".">1.75</td>
<td align="center" valign="middle">30,793</td>
<td align="center" valign="middle">179</td>
<td align="char" valign="bottom" char=".">0.58</td>
</tr>
<tr>
<td align="left" valign="middle">2023</td>
<td align="center" valign="middle">1,906</td>
<td align="center" valign="middle">44</td>
<td align="char" valign="bottom" char=".">2.31</td>
<td align="center" valign="middle">42,140</td>
<td align="center" valign="middle">196</td>
<td align="char" valign="bottom" char=".">0.47</td>
</tr>
<tr>
<td align="left" valign="middle">2024</td>
<td align="center" valign="middle">1,704</td>
<td align="center" valign="middle">37</td>
<td align="char" valign="bottom" char=".">2.17</td>
<td align="center" valign="middle">45,464</td>
<td align="center" valign="middle">194</td>
<td align="char" valign="bottom" char=".">0.43</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="center" valign="bottom">21,344</td>
<td align="center" valign="bottom">486</td>
<td align="char" valign="bottom" char=".">2.28</td>
<td align="center" valign="bottom">378,003</td>
<td align="center" valign="bottom">1,992</td>
<td align="char" valign="bottom" char=".">0.53</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>&#x03C7;</italic><sup>2</sup></td>
<td align="center" valign="bottom" colspan="3">90.05</td>
<td align="center" valign="bottom" colspan="3">14.79</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>P</italic></td>
<td align="center" valign="bottom" colspan="3">&#x003C;0.001</td>
<td align="center" valign="bottom" colspan="3">0.097</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<label>3.2</label>
<title>Distribution of POP occurrence time</title>
<p>65.64% of POP cases in emergency surgery and 58.73% in elective surgery occurred 48&#x202F;h&#x2013;10&#x202F;days after surgery. The median onset time was 6.21&#x202F;days (3.65&#x2013;9.71) for emergency surgery and 5.97&#x202F;days (3.32&#x2013;10.40) for elective surgery, with no significant difference (<italic>Z</italic> =&#x202F;&#x2212;0.827, <italic>p</italic> =&#x202F;0.408), as shown in <xref ref-type="table" rid="tab2">Table 2</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Distribution of POP occurrence time in emergency and elective surgery.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Type of surgery</th>
<th align="center" valign="top" rowspan="2">No. of cases of infection</th>
<th align="center" valign="top" colspan="4">Duration of postoperative infection</th>
<th align="center" valign="top" rowspan="2"><italic>Z</italic></th>
<th align="center" valign="top" rowspan="2"><italic>P</italic></th>
</tr>
<tr>
<th align="center" valign="top">&#x003C;48&#x202F;h<break/><italic>n</italic> (%)</th>
<th align="center" valign="top">48&#x202F;h&#x2013;10&#x202F;days<break/><italic>n</italic> (%)</th>
<th align="center" valign="top">10&#x2013;30&#x202F;days<break/><italic>n</italic> (%)</th>
<th align="center" valign="top">Median (IQR)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Emergency surgery</td>
<td align="center" valign="middle">486</td>
<td align="char" valign="middle" char="(">49 (10.08)</td>
<td align="char" valign="middle" char="(">319 (65.64)</td>
<td align="char" valign="middle" char="(">118 (24.28)</td>
<td align="char" valign="middle" char="(">6.21 (3.65, 9.71)</td>
<td align="char" valign="middle" char="." rowspan="2">&#x2212;0.827</td>
<td align="char" valign="middle" char="." rowspan="2">0.408</td>
</tr>
<tr>
<td align="left" valign="middle">Elective surgery</td>
<td align="center" valign="middle">1,992</td>
<td align="char" valign="middle" char="(">302 (15.16)</td>
<td align="char" valign="middle" char="(">1,170 (58.73)</td>
<td align="char" valign="middle" char="(">520 (26.10)</td>
<td align="char" valign="middle" char="(">5.97 (3.32, 10.40)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Distribution of POP occurrence time.</p>
</caption>
<graphic xlink:href="fpubh-14-1770408-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart compares emergency and elective surgery percentages across three time intervals: under forty-eight hours, forty-eight hours to ten days, and ten to thirty days. Emergency surgeries peak at forty-eight hours to ten days, exceeding elective surgeries in this interval, while elective surgeries also follow a similar pattern but are slightly lower in the middle interval. Both types show lowest percentages in the under forty-eight hours category and moderate percentages in the ten to thirty days category. Blue bars and line represent emergency surgery, orange bars and line represent elective surgery.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec11">
<label>3.3</label>
<title>Distribution of POP by department</title>
<p>POP was observed in 13 surgical departments. Except for Obstetrics and gynecology, the incidence of POP in emergency surgery was significantly higher than that in elective surgery across all departments (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Among emergency surgeries, the three departments with the highest POP incidence were Neurosurgery (18.30%), cardiovascular surgery (12.24%), and Thoracic surgery (9.04%). For elective surgeries, the top three departments were cardiovascular surgery (2.75%), neurosurgery (1.70%), and General surgery (0.75%). The largest disparity in POP incidence between emergency and elective surgery was noted in neurosurgery, with an approximately 11-fold difference, as shown in <xref ref-type="table" rid="tab3">Table 3</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>The incidence of POP in different departments.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Department</th>
<th align="center" valign="top" colspan="3">Emergency surgery</th>
<th align="center" valign="top" colspan="3">Elective surgery</th>
<th align="center" valign="top" rowspan="2"><italic>&#x03C7;</italic><sup>2</sup></th>
<th align="center" valign="top" rowspan="2"><italic>P</italic></th>
</tr>
<tr>
<th align="center" valign="top">No. of surgical cases</th>
<th align="center" valign="top">No. of infections</th>
<th align="center" valign="top">Infection rate (%)</th>
<th align="center" valign="top">No. of surgical cases</th>
<th align="center" valign="top">No. of infection cases</th>
<th align="center" valign="top">Infection rate (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Neurosurgery</td>
<td align="center" valign="middle">1,191</td>
<td align="center" valign="middle">218</td>
<td align="char" valign="middle" char=".">18.30</td>
<td align="center" valign="middle">30,038</td>
<td align="center" valign="middle">512</td>
<td align="char" valign="middle" char=".">1.70</td>
<td align="center" valign="middle">1,382.67</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Cardiac Surgery</td>
<td align="center" valign="middle">49</td>
<td align="center" valign="middle">6</td>
<td align="char" valign="middle" char=".">12.24</td>
<td align="center" valign="middle">2,586</td>
<td align="center" valign="middle">71</td>
<td align="char" valign="middle" char=".">2.75</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">0.003<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Thoracic Surgery</td>
<td align="center" valign="middle">188</td>
<td align="center" valign="middle">17</td>
<td align="char" valign="middle" char=".">9.04</td>
<td align="center" valign="middle">30,297</td>
<td align="center" valign="middle">153</td>
<td align="char" valign="middle" char=".">0.51</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x003C;0.001<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Vascular surgery</td>
<td align="center" valign="middle">328</td>
<td align="center" valign="middle">29</td>
<td align="char" valign="middle" char=".">8.84</td>
<td align="center" valign="middle">9,643</td>
<td align="center" valign="middle">33</td>
<td align="char" valign="middle" char=".">0.34</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x003C;0.001<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">General Surgery</td>
<td align="center" valign="middle">2,184</td>
<td align="center" valign="middle">102</td>
<td align="char" valign="middle" char=".">4.67</td>
<td align="center" valign="middle">63,005</td>
<td align="center" valign="middle">474</td>
<td align="char" valign="middle" char=".">0.75</td>
<td align="center" valign="middle">367.0</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Breast Surgery</td>
<td align="center" valign="middle">109</td>
<td align="center" valign="middle">4</td>
<td align="char" valign="middle" char=".">3.67</td>
<td align="center" valign="middle">5,715</td>
<td align="center" valign="middle">5</td>
<td align="char" valign="middle" char=".">0.09</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x003C;0.001<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Orthopedic</td>
<td align="center" valign="middle">911</td>
<td align="center" valign="middle">24</td>
<td align="char" valign="middle" char=".">2.63</td>
<td align="center" valign="middle">63,459</td>
<td align="center" valign="middle">243</td>
<td align="char" valign="middle" char=".">0.38</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x003C;0.001<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Plastic Surgery</td>
<td align="center" valign="middle">79</td>
<td align="center" valign="middle">2</td>
<td align="char" valign="middle" char=".">2.53</td>
<td align="center" valign="middle">4,786</td>
<td align="center" valign="middle">6</td>
<td align="char" valign="middle" char=".">0.13</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">0.007<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Stomatology</td>
<td align="center" valign="middle">188</td>
<td align="center" valign="middle">4</td>
<td align="char" valign="middle" char=".">2.13</td>
<td align="center" valign="middle">18,068</td>
<td align="center" valign="middle">38</td>
<td align="char" valign="middle" char=".">0.21</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x003C;0.001<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Hepatobiliary surgery</td>
<td align="center" valign="middle">2,181</td>
<td align="center" valign="middle">46</td>
<td align="char" valign="middle" char=".">2.11</td>
<td align="center" valign="middle">49,987</td>
<td align="center" valign="middle">302</td>
<td align="char" valign="middle" char=".">0.60</td>
<td align="center" valign="middle">71.43</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Otolaryngology</td>
<td align="center" valign="middle">1,119</td>
<td align="center" valign="middle">23</td>
<td align="char" valign="middle" char=".">2.06</td>
<td align="center" valign="middle">37,379</td>
<td align="center" valign="middle">74</td>
<td align="char" valign="middle" char=".">0.20</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x003C;0.001<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Urology</td>
<td align="center" valign="middle">238</td>
<td align="center" valign="middle">4</td>
<td align="char" valign="middle" char=".">1.68</td>
<td align="center" valign="middle">26,277</td>
<td align="center" valign="middle">49</td>
<td align="char" valign="middle" char=".">0.19</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">0.001<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Obstetrics and gynecology</td>
<td align="center" valign="middle">12,441</td>
<td align="center" valign="middle">7</td>
<td align="char" valign="middle" char=".">0.06</td>
<td align="center" valign="middle">32,842</td>
<td align="center" valign="middle">32</td>
<td align="char" valign="middle" char=".">0.10</td>
<td align="center" valign="middle">1.78</td>
<td align="center" valign="middle">0.182</td>
</tr>
<tr>
<td align="left" valign="middle">Other</td>
<td align="center" valign="middle">138</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char=".">0.00</td>
<td align="center" valign="middle">3,921</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char=".">0.00</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>Fisher&#x2019;s exact probability method was used; &#x2212; indicates that the data are not available.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec12">
<label>3.4</label>
<title>Causative pathogens</title>
<p>A total of 2,766 pathogens were isolated from all POP patients, including 730 from emergency surgeries and 2,036 from elective surgeries. Gram-negative bacteria were the most commonly isolated pathogens in both groups (emergency vs. elective: 70.55% vs. 66.06%), with the primary causative pathogens being <italic>Acinetobacter baumannii</italic>, <italic>Klebsiella pneumoniae</italic>, and <italic>Pseudomonas aeruginosa</italic>, these results are summarized in <xref ref-type="table" rid="tab4">Table 4</xref>.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Distribution of pathogens detected in POP between emergency and elective surgeries.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Pathogen</th>
<th align="center" valign="top" colspan="2">Emergency surgery</th>
<th align="center" valign="top" colspan="2">Elective surgery</th>
</tr>
<tr>
<th align="center" valign="top">Strain</th>
<th align="center" valign="top">Composition ratio (%)</th>
<th align="center" valign="top">Strain</th>
<th align="center" valign="top">Composition ratio (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Gram-negative bacteria</td>
<td align="center" valign="middle">515</td>
<td align="center" valign="middle">70.55</td>
<td align="center" valign="middle">1,345</td>
<td align="center" valign="middle">66.06</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Acinetobacter baumannii</italic></td>
<td align="center" valign="middle">185</td>
<td align="center" valign="middle">35.92</td>
<td align="center" valign="middle">432</td>
<td align="center" valign="middle">32.12</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Klebsiella pneumoniae</italic></td>
<td align="center" valign="middle">131</td>
<td align="center" valign="middle">25.44</td>
<td align="center" valign="middle">335</td>
<td align="center" valign="middle">24.91</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Pseudomonas aeruginosa</italic></td>
<td align="center" valign="middle">89</td>
<td align="center" valign="middle">17.28</td>
<td align="center" valign="middle">268</td>
<td align="center" valign="middle">19.93</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Stenotrophomonas maltophilia</italic></td>
<td align="center" valign="middle">46</td>
<td align="center" valign="middle">8.93</td>
<td align="center" valign="middle">124</td>
<td align="center" valign="middle">9.22</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Enterobacter cloacae</italic></td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">2.33</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">3.72</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Escherichia coli</italic></td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">2.72</td>
<td align="center" valign="middle">42</td>
<td align="center" valign="middle">3.12</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Burkholderia cepacia</italic></td>
<td align="center" valign="middle">17</td>
<td align="center" valign="middle">3.30</td>
<td align="center" valign="middle">32</td>
<td align="center" valign="middle">2.38</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Mucilaginous Serratia</italic></td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">1.55</td>
<td align="center" valign="middle">27</td>
<td align="center" valign="middle">2.01</td>
</tr>
<tr>
<td align="left" valign="middle">Other negative bacteria</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">2.52</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="middle">2.60</td>
</tr>
<tr>
<td align="left" valign="middle">Gram-positive bacteria</td>
<td align="center" valign="middle">81</td>
<td align="center" valign="middle">11.10</td>
<td align="center" valign="middle">318</td>
<td align="center" valign="middle">15.62</td>
</tr>
<tr>
<td align="left" valign="middle">Coagulase-negative staphylococci</td>
<td align="center" valign="middle">54</td>
<td align="center" valign="middle">66.67</td>
<td align="center" valign="middle">207</td>
<td align="center" valign="middle">65.09</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Staphylococcus aureus</italic></td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">27.16</td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">22.64</td>
</tr>
<tr>
<td align="left" valign="middle">Other positive bacteria</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">6.17</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">12.26</td>
</tr>
<tr>
<td align="left" valign="middle">Fungi</td>
<td align="center" valign="middle">134</td>
<td align="center" valign="middle">18.36</td>
<td align="center" valign="middle">373</td>
<td align="center" valign="middle">18.32</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Candida albicans</italic></td>
<td align="center" valign="middle">44</td>
<td align="center" valign="middle">32.84</td>
<td align="center" valign="middle">159</td>
<td align="center" valign="middle">42.63</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Candida tropicalis</italic></td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">10.45</td>
<td align="center" valign="middle">67</td>
<td align="center" valign="middle">17.96</td>
</tr>
<tr>
<td align="left" valign="middle">Candida smooth</td>
<td align="center" valign="middle">28</td>
<td align="center" valign="middle">20.90</td>
<td align="center" valign="middle">57</td>
<td align="center" valign="middle">15.28</td>
</tr>
<tr>
<td align="left" valign="middle">Nearly smooth Candida</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">9.70</td>
<td align="center" valign="middle">36</td>
<td align="center" valign="middle">9.65</td>
</tr>
<tr>
<td align="left" valign="middle">Filamentous fungi</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="middle">12.69</td>
<td align="center" valign="middle">26</td>
<td align="center" valign="middle">6.97</td>
</tr>
<tr>
<td align="left" valign="middle">Molds</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">8.21</td>
<td align="center" valign="middle">18</td>
<td align="center" valign="middle">4.83</td>
</tr>
<tr>
<td align="left" valign="middle">Other fungi</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">5.22</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">2.68</td>
</tr>
<tr>
<td align="left" valign="top">Total</td>
<td align="center" valign="top">730</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="top">2,036</td>
<td align="center" valign="middle">100</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In addition, MDROs were isolated from 308 specimens (42.19%) in emergency surgeries and 670 specimens (32.90%) in elective surgeries, with a statistically significant difference between groups (<italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;20.26, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). The most prevalent MDROs were PDR-AB, CRE, and PDR-PA, as shown in <xref ref-type="table" rid="tab5">Table 5</xref>. Ten-year trend analysis showed that PDR-AB had the highest detection rate in 2020 (emergency vs. elective: 84.62% vs. 63.64%), followed by a decline and then a re-increase in 2023. CRE exhibited the highest detection rate in 2021 (emergency vs. elective: 41.94% vs. 38.24%), after which it showed a downward trend, as shown in <xref ref-type="table" rid="tab5">Table 5</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Distribution of MDROs detected in POP between emergency and elective surgeries.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">MDROs</th>
<th align="center" valign="top" colspan="2">Emergency surgery</th>
<th align="center" valign="top" colspan="2">Elective surgery</th>
</tr>
<tr>
<th align="center" valign="top">Strain</th>
<th align="center" valign="top">Composition ratio (%)</th>
<th align="center" valign="top">Strain</th>
<th align="center" valign="top">Composition ratio (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">PDR-AB</td>
<td align="center" valign="top">174</td>
<td align="center" valign="top">56.49</td>
<td align="center" valign="top">382</td>
<td align="center" valign="top">57.01</td>
</tr>
<tr>
<td align="left" valign="top">CRE</td>
<td align="center" valign="top">86</td>
<td align="center" valign="top">27.92</td>
<td align="center" valign="top">183</td>
<td align="center" valign="top">27.31</td>
</tr>
<tr>
<td align="left" valign="top">PDR-PA</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">11.04</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">9.10</td>
</tr>
<tr>
<td align="left" valign="top">MRSA</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">3.90</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">5.37</td>
</tr>
<tr>
<td align="left" valign="top">MRSE</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.65</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.90</td>
</tr>
<tr>
<td align="left" valign="top">VRE</td>
<td align="center" valign="top">0.00</td>
<td align="center" valign="top">0.00</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.30</td>
</tr>
<tr>
<td align="left" valign="top">Total</td>
<td align="center" valign="middle">308</td>
<td align="center" valign="top">100</td>
<td align="center" valign="middle">670</td>
<td align="center" valign="top">100</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Distribution of MDROs detected in POP from 2015 to 2024.</p>
</caption>
<graphic xlink:href="fpubh-14-1770408-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four grouped horizontal bar charts compare detection rates from 2015 to 2024 for PDR-AB, PDR-PA, CRE, and MRSA in emergency versus elective surgeries. Each chart contrasts annual rates using color-coded bars for both surgery types.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec13">
<label>3.5</label>
<title>Risk factors of POP in emergency surgery</title>
<p>Univariate analysis revealed that sex, age, primary pulmonary disease, hypertension, diabetes, tumor, admission to ICU, preoperative hospitalization duration, ASA score, anesthesia method, surgical duration, and intraoperative blood loss were associated with POP occurrence in emergency surgery, with statistically significant differences (all <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), as shown in <xref ref-type="table" rid="tab6">Table 6</xref>.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Results of univariate analysis of risk factors for POP in emergency surgery.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Factors</th>
<th align="center" valign="top">POP group<break/><italic>n</italic> (%)</th>
<th align="center" valign="top">Non-POP group<break/><italic>n</italic> (%)</th>
<th align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup></th>
<th align="center" valign="top"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom" colspan="5">Sex</td>
</tr>
<tr>
<td align="left" valign="bottom">Female</td>
<td align="char" valign="top" char="(">181 (37.24)</td>
<td align="char" valign="top" char="(">11,064 (53.04)</td>
<td align="char" valign="middle" char="." rowspan="2">47.572</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Male</td>
<td align="char" valign="bottom" char="(">305 (62.76)</td>
<td align="char" valign="bottom" char="(">9,794 (46.96)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Age (years)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003C;60</td>
<td align="char" valign="bottom" char="(">239 (49,18)</td>
<td align="char" valign="bottom" char="(">17,962 (86.12)</td>
<td align="char" valign="middle" char="." rowspan="2">516.069</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2265;60</td>
<td align="char" valign="bottom" char="(">247 (50.82)</td>
<td align="char" valign="bottom" char="(">2,896 (13.88)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Primary pulmonary disease</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="char" valign="bottom" char="(">453 (93.21)</td>
<td align="char" valign="bottom" char="(">20,526 (98.41)</td>
<td align="char" valign="middle" char="." rowspan="2">76.357</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="char" valign="bottom" char="(">33 (6.79)</td>
<td align="char" valign="bottom" char="(">332 (1.59)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Hypertension</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="char" valign="bottom" char="(">394 (81.07)</td>
<td align="char" valign="bottom" char="(">19,482 (93.40)</td>
<td align="char" valign="middle" char="." rowspan="2">112.790</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="char" valign="bottom" char="(">92 (18.93)</td>
<td align="char" valign="bottom" char="(">1,376 (6.60)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Diabetes</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="char" valign="bottom" char="(">442 (90.95)</td>
<td align="char" valign="bottom" char="(">19,452 (93.26)</td>
<td align="char" valign="middle" char="." rowspan="2">4.012</td>
<td align="char" valign="middle" char="." rowspan="2">0.045</td>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="char" valign="bottom" char="(">44 (9.05)</td>
<td align="char" valign="bottom" char="(">1,406 (6.74)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Tumor</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="char" valign="bottom" char="(">399 (82.10)</td>
<td align="char" valign="bottom" char="(">19,477 (93.38)</td>
<td align="char" valign="middle" char="." rowspan="2">94.356</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="char" valign="bottom" char="(">87 (17.90)</td>
<td align="char" valign="bottom" char="(">1,381 (6.62)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Admission to ICU</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="char" valign="bottom" char="(">199 (40.95)</td>
<td align="char" valign="bottom" char="(">19,678 (94.34)</td>
<td align="char" valign="middle" char="." rowspan="2">2,115.56</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="char" valign="bottom" char="(">287 (59.05)</td>
<td align="char" valign="bottom" char="(">1,180 (5.66)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Preoperative hospitalization duration (h)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2264;6</td>
<td align="char" valign="bottom" char="(">238 (48.97)</td>
<td align="char" valign="bottom" char="(">7,929 (38.01)</td>
<td align="char" valign="middle" char="." rowspan="4">127.794</td>
<td align="char" valign="middle" char="." rowspan="4">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">6&#x2013;24</td>
<td align="char" valign="bottom" char="(">50 (10.29)</td>
<td align="char" valign="bottom" char="(">5,512 (26.43)</td>
</tr>
<tr>
<td align="left" valign="bottom">24&#x2013;48</td>
<td align="char" valign="bottom" char="(">24 (4.94)</td>
<td align="char" valign="bottom" char="(">2,801 (13.43)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003E;48</td>
<td align="char" valign="bottom" char="(">174 (35.80)</td>
<td align="char" valign="bottom" char="(">4,616 (22.13)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">ASA score</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003C;3</td>
<td align="char" valign="bottom" char="(">101 (20.78)</td>
<td align="char" valign="bottom" char="(">18,241 (87.45)</td>
<td align="char" valign="middle" char="." rowspan="2">1,746.651</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2265;3</td>
<td align="char" valign="bottom" char="(">385 (79.22)</td>
<td align="char" valign="bottom" char="(">2,617 (12.55)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Anesthesia method</td>
</tr>
<tr>
<td align="left" valign="bottom">General anesthesia</td>
<td align="char" valign="bottom" char="(">475 (97.74)</td>
<td align="char" valign="bottom" char="(">14,047 (67.35)</td>
<td align="char" valign="middle" char="." rowspan="2">201.711</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Non-general anesthesia</td>
<td align="char" valign="bottom" char="(">11 (2.26)</td>
<td align="char" valign="bottom" char="(">6,811 (32.65)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Surgical duration (h)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003C;3</td>
<td align="char" valign="bottom" char="(">273 (56.17)</td>
<td align="char" valign="bottom" char="(">19,468 (93.34)</td>
<td align="char" valign="middle" char="." rowspan="2">944.289</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2265;3</td>
<td align="char" valign="bottom" char="(">213 (43.83)</td>
<td align="char" valign="bottom" char="(">1,390 (6.66)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Intraoperative blood loss</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003C;500</td>
<td align="char" valign="bottom" char="(">393 (80.86)</td>
<td align="char" valign="bottom" char="(">19,590 (93.92)</td>
<td align="char" valign="middle" char="." rowspan="3">176.460</td>
<td align="char" valign="middle" char="." rowspan="3">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">500&#x2013;1,000</td>
<td align="char" valign="bottom" char="(">60 (12.35)</td>
<td align="char" valign="bottom" char="(">1,025 (4.91)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003E;1,000</td>
<td align="char" valign="bottom" char="(">33 (6.79)</td>
<td align="char" valign="bottom" char="(">243 (1.17)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Multivariate logistic regression analysis demonstrated that preoperative hospitalization duration of 6&#x2013;48&#x202F;h was a protective factor for POP in emergency surgery. In contrast, male sex, age &#x2265;60&#x202F;years, admission to ICU, ASA score &#x2265;3, general anesthesia, surgical duration &#x2265;3&#x202F;h, and intraoperative blood loss &#x003E;1,000&#x202F;mL were independent risk factors (p&#x202F;&#x003C;&#x202F;0.05), as shown in <xref ref-type="table" rid="tab7">Table 7</xref>.</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Results of multifactorial logistic regression analysis of risk factors for POP in emergency surgery.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Factor</th>
<th align="center" valign="top"><italic>B</italic></th>
<th align="center" valign="top"><italic>P</italic></th>
<th align="center" valign="top">OR</th>
<th align="center" valign="top" colspan="2">95% CI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sex (male)</td>
<td align="center" valign="top">0.633</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">1.883</td>
<td align="center" valign="top">1.534</td>
<td align="center" valign="top">2.311</td>
</tr>
<tr>
<td align="left" valign="middle">Age (&#x2265;60&#x202F;years)</td>
<td align="char" valign="middle" char=".">0.698</td>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
<td align="char" valign="middle" char=".">2.009</td>
<td align="char" valign="middle" char=".">1.630</td>
<td align="char" valign="middle" char=".">2.477</td>
</tr>
<tr>
<td align="left" valign="middle">Admission to ICU</td>
<td align="char" valign="middle" char=".">1.510</td>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
<td align="char" valign="middle" char=".">4.528</td>
<td align="char" valign="middle" char=".">3.612</td>
<td align="char" valign="middle" char=".">5.678</td>
</tr>
<tr>
<td align="left" valign="middle">ASA score (&#x2265;3)</td>
<td align="char" valign="middle" char=".">1.792</td>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
<td align="char" valign="middle" char=".">6.004</td>
<td align="char" valign="middle" char=".">4.597</td>
<td align="char" valign="middle" char=".">7.841</td>
</tr>
<tr>
<td align="left" valign="middle">Anesthesia method (general anesthesia)</td>
<td align="char" valign="middle" char=".">1.602</td>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
<td align="char" valign="middle" char=".">4.962</td>
<td align="char" valign="middle" char=".">2.654</td>
<td align="char" valign="middle" char=".">9.276</td>
</tr>
<tr>
<td align="left" valign="middle">Surgical duration (&#x2265;3&#x202F;h)</td>
<td align="char" valign="middle" char=".">0.707</td>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
<td align="char" valign="middle" char=".">2.028</td>
<td align="char" valign="middle" char=".">1.631</td>
<td align="char" valign="middle" char=".">2.522</td>
</tr>
<tr>
<td align="left" valign="middle">Intraoperative blood loss (&#x003E;1,000&#x202F;ml)</td>
<td align="char" valign="middle" char=".">0.907</td>
<td align="char" valign="middle" char=".">0.049</td>
<td align="char" valign="middle" char=".">2.478</td>
<td align="char" valign="middle" char=".">1.005</td>
<td align="char" valign="middle" char=".">6.110</td>
</tr>
<tr>
<td align="left" valign="middle">Preoperative hospitalization duration (6&#x2013;24&#x202F;h)</td>
<td align="char" valign="middle" char=".">&#x2212;0.702</td>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
<td align="char" valign="middle" char=".">0.496</td>
<td align="char" valign="middle" char=".">0.350</td>
<td align="char" valign="middle" char=".">0.702</td>
</tr>
<tr>
<td align="left" valign="middle">Preoperative hospitalization duration (24&#x2013;48&#x202F;h)</td>
<td align="char" valign="middle" char=".">&#x2212;0.487</td>
<td align="char" valign="middle" char=".">0.039</td>
<td align="char" valign="middle" char=".">0.039</td>
<td align="char" valign="middle" char=".">0.614</td>
<td align="char" valign="middle" char=".">0.387</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4</label>
<title>Discussion</title>
<p>Studies have indicated that comprehensive interventions&#x2014;including preoperative nutritional support and respiratory function training; intraoperative precise anesthesia, minimally invasive surgical techniques, and maintenance of physiological stability (e.g., body temperature, blood glucose level); and postoperative early extubation and mobilization&#x2014;have effectively reduced POP incidence (<xref ref-type="bibr" rid="ref8 ref9 ref10">8&#x2013;10</xref>). In our study, the overall POP incidence was 0.63%, which is higher than the 0.22&#x2013;0.43% reported by similar hospitals in China (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>), but lower than the 1.3&#x2013;1.9% reported by Metersky et al. (<xref ref-type="bibr" rid="ref13">13</xref>). Among POP cases, VAP accounted for 21.94% of cases in elective surgery and a much higher 44.65% in emergency surgery, emphasizing the need to strengthen management of postoperative patients on mechanical ventilation. Over the 10-year study period, the Elective surgery POP incidence decreased significantly (0.76% in 2015 vs. 0.43% in 2024). Notably, the incidence of POP in emergency surgery surged to 2.87% in 2020. This increase may be attributed to the impact of the Coronavirus Disease 2019 (COVID-19) pandemic, which caused a substantial reduction in surgical activity. As reported in a UK study (<xref ref-type="bibr" rid="ref14">14</xref>), overall surgical activity decreased by 33.6% compared to pre-pandemic expectations. This reduction likely shifted the case load towards patients with more severe and critical conditions, thereby increasing the risk of POP. In addition, the incidence of POP in emergency surgery (2.28%) was significantly higher than that in elective surgery (0.53%), with no evidence of a downward trend over the decade. These differences may be associated with variations in pathogenesis, pathophysiological states, and perioperative management strategies. Emergency surgery patients often present with shock, trauma, or active infection, which can severely impair immune function. Moreover, limited preoperative preparation time restricts thorough infection screening, thereby increasing POP risk (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). These results suggest that emergency surgery represents a key focus area requiring targeted interventions to reduce the incidence of postoperative pneumonia.</p>
<p>The incidence of POP varies significantly across different departments and surgical sites. Identifying the distribution of departments with high incidence of POP is crucial for formulating targeted prevention and control strategies. Among emergency surgeries, the top three departments with the highest incidence of POP were neurosurgery (18.30%), cardiovascular surgery (12.24%), and thoracic surgery (9.04%). For elective surgery, the top three were cardiovascular surgery (2.75%), neurosurgery (1.70%), and general surgery (0.75%). Neurosurgery showed the greatest disparity between emergency and elective surgeries, approximately 11-fold higher. This is associated with the severity of traumatic brain injury, spontaneous intracerebral hemorrhage, and acute epidural/subdural hematoma&#x2014;the predominant pathologies in emergency neurosurgical patients&#x2014;which often lead to impaired consciousness, thereby increasing the risk of aspiration. Moreover, it is often difficult to perform comprehensive preoperative respiratory assessments (e.g., aspiration risk evaluation) or preventive measures (e.g., oral hygiene) in emergency settings. Furthermore, these patients frequently require prolonged postoperative mechanical ventilation, all of which significantly increases the risk of pulmonary infection (<xref ref-type="bibr" rid="ref17">17</xref>). Previous studies have indicated that POP is concentrated in thoracic and upper abdominal surgeries (<xref ref-type="bibr" rid="ref18">18</xref>). Our dataset further demonstrated a high incidence of POP in cardiovascular surgical procedures. The major pathologies requiring cardiovascular surgery included acute Stanford type A aortic dissection, ruptured abdominal aortic aneurysm, and acute myocardial infarction&#x2014;all of which necessitate urgent surgical intervention with extracorporeal circulation. Crucially, this circulatory support modality triggers pulmonary injury, where the severity of such damage increases proportionally with the duration of extracorporeal circulation (<xref ref-type="bibr" rid="ref19">19</xref>). Patients undergoing thoracic surgery often transition from thoracic to abdominal breathing due to incision pain. This leads to persistent low tidal volume, reduced functional residual capacity, atelectasis, impaired coughing and expectoration ability, and retained airway secretions, increasing the risk of POP (<xref ref-type="bibr" rid="ref20">20</xref>).</p>
<p>Pathogenic bacterial culture results exhibit high specificity and provide important guidance for the diagnosis and precise treatment of POP (<xref ref-type="bibr" rid="ref21">21</xref>). However, the distribution of POP pathogens across different geographical regions and healthcare settings. A Japanese study (<xref ref-type="bibr" rid="ref22">22</xref>) reported that the predominant pathogens isolated were <italic>Pseudomonas aeruginosa</italic>, <italic>Staphylococcus aureus</italic>, and <italic>Enterococcus faecalis</italic>, whereas research conducted by Xiang et al. (<xref ref-type="bibr" rid="ref23">23</xref>) in China found that <italic>Klebsiella pneumoniae</italic>, <italic>Escherichia coli</italic>, and <italic>Staphylococcus aureus</italic> were the primary pathogens. This study revealed that Gram-negative bacteria accounting for 70.55% in emergency surgeries, <italic>Acinetobacter baumannii</italic>, <italic>Klebsiella pneumoniae</italic>, and <italic>Pseudomonas aeruginosa</italic> were the most commonly identified species, consistent with the findings of Xu et al. (<xref ref-type="bibr" rid="ref24 ref25 ref26">24&#x2013;26</xref>). The second was Fungal, <italic>Candida albicans</italic> were the predominant species. This is mainly attributed to the fact that Candida, as an opportunistic pathogen, can be aspirated into the lower respiratory tract and become a pathogenic agent causing POP when critically ill patients experience aspiration due to anesthesia, impaired consciousness, tracheal intubation, or indwelling nasogastric tubes.</p>
<p>The detection of MDROs in POP patients will further exacerbate the difficulty and complexity of clinical treatment. In this study, the detection rates of PDR-AB and CRE were the highest, consistent with results from previous studies (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). Additionally, the detection rate of MDROs in emergency surgeries was significantly higher than in elective surgeries (42.19% vs. 32.90%). This disparity may be attributed to the critical condition of emergency surgery patients, immunosuppression under stress, incomplete infection screening in urgent preoperative situations, and the empirical use of broad-spectrum antibiotics, all of which increase the risk of colonization or infection by drug-resistant organisms. Furthermore, the distribution of MDROs detected over the 10-year study period revealed that PDR-AB had the highest detection rate in 2020 (84.62% in emergency surgeries vs. 63.64% in elective surgeries), decreased thereafter, and rose again in 2023, indicating that the situation of the prevention and control of PDR-AB is severe and repetitive, and that it is necessary to build a long-term management mechanism and dynamically adjust the prevention and control strategy. The highest CRE detection rates were observed in 2021 (41.94% in emergency surgeries vs. 38.24% in elective surgeries), followed by a subsequent decline. This is consistent with the current global trend of MDRO epidemiology (<xref ref-type="bibr" rid="ref28">28</xref>). Therefore, when POP is suspected, pathogen samples should be collected and submitted in time and standardized in order to determine the appropriate use of antimicrobial agents.</p>
<p>The occurrence of POP is influenced by multiple factors, investigating the risk factors is essential for optimizing perioperative care, formulating individualized intervention strategies, and ultimately reducing the incidence of POP. Through large-scale data analysis, this study demonstrated that preoperative hospitalization duration of 6&#x2013;48&#x202F;h was a protective factor for POP in emergency surgery, whereas male sex, age &#x2265;60&#x202F;years, admission to ICU, ASA score &#x2265;3, general anesthesia, surgical duration &#x2265;3&#x202F;h, and intraoperative blood loss &#x003E;1,000&#x202F;mL were independent risk factors(<italic>p</italic> &#x003C;&#x202F;0.05).</p>
<p>Studies have shown that performing surgery within 48&#x202F;h, not only effectively reduces the risk of POP, but also lower the all-cause mortality risk by 19% in patients older than 60&#x202F;years (<xref ref-type="bibr" rid="ref29">29</xref>). The American Academy of Orthopaedic Surgeons (AAOS) recommends that hip fracture surgery should be performed as early as possible within 48&#x202F;h of hospital admission (<xref ref-type="bibr" rid="ref30">30</xref>). The risk of POP in male patients is 1.86 times higher than that in female patients, which may be related to physiological differences, immune status, and lifestyle. Some studies indicated that male airway is more susceptible to accumulate pathogens, whereas females tend to exhibit stronger innate immunity due to the influence of X chromosome genes and estrogen (<xref ref-type="bibr" rid="ref31">31</xref>). In older adult patients, declining organ function and suffering from multiple comorbidities such as chronic cardiovascular and respiratory diseases, have reduced immunoglobulin levels and impaired cellular immune responses. These factors collectively impair resistance to pneumonia and associated with a higher incidence of POP, as shown in multiple studies (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>).</p>
<p>In addition, patients admitted to ICUs often have multiple underlying diseases and are in critical conditions. Invasive procedures such as mechanical ventilation and indwelling catheters are frequently performed during the therapeutic processes of postoperative. Moreover, the relatively enclosed and concentrated environment of the ICU increases the risk of POP. The ASA score, a widely accepted metric for preoperative patient assessment, reflects the overall health status and comorbidities of individuals. Studies have shown that ASA score is positively correlated with the risk of surgical complications, especially in patients with ASA score &#x2265;3, the incidence of POP is significantly increased (<xref ref-type="bibr" rid="ref34">34</xref>). General anesthesia can cause atelectasis and pulmonary collapse, with subsequent ventilation-perfusion mismatch contributing to hypoxemia. Moreover, the administration of opioid analgesics may suppress the respiratory center or induce respiratory muscle weakness. Collectively, these alterations impair respiratory function and effective cough ability, thereby increasing the risk of POP (<xref ref-type="bibr" rid="ref35">35</xref>). Excessive intraoperative blood loss during surgery may result in significant depletion of immune factors and albumin. Severe anemia and hypoalbuminemia can lead to pulmonary edema, increased alveolar secretion, and reduced ventilatory efficiency (<xref ref-type="bibr" rid="ref36">36</xref>). Epidemiological data (<xref ref-type="bibr" rid="ref31">31</xref>) indicated that the incidence of POP in patients with &#x2265;200&#x202F;mL of intraoperative blood loss was 15.84%. However, this study found that blood loss exceeding 1,000&#x202F;mL was a significant risk factor for POP, with greater blood loss correlating with increased severity. Our study demonstrated that surgical duration exceeding 3&#x202F;h was associated with a higher incidence of pop. Prolonged surgery typically involves more extensive tissue manipulation and a heightened inflammatory response, which may trigger systemic inflammation (<xref ref-type="bibr" rid="ref37">37</xref>) and thus necessitate the additional administration of antimicrobial agents.</p>
</sec>
<sec sec-type="conclusions" id="sec15">
<label>5</label>
<title>Conclusion</title>
<p>The incidence of POP is significantly higher in emergency surgery patients than in elective surgery patients. Neurosurgery, cardiovascular surgery, and thoracic surgery are identified as high-risk departments that require increased vigilance. The pathogens of POP are primarily Gram-negative bacteria, and the detection rate of MDROs is higher in emergency surgery than in elective surgery, with particularly high detection rates for PDR-AB and CRE. Clinicians should use antimicrobial agents appropriately based on the characteristics of bacterial resistance. It is recommended to enhance perioperative management and implement individualized preventive strategies for high-risk populations in order to reduce the incidence of POP, and facilitate rapid recovery following emergency surgery.</p>
</sec>
<sec id="sec16">
<label>6</label>
<title>Limitations</title>
<p>Despite the strengths of this study, including a sufficient sample size and comprehensive coverage of risk factors, several limitations should be acknowledged. As a single-center retrospective study, its findings are limited in generalizability due to institutional-specific patient characteristics and clinical practices. Additionally, Due to incomplete data documentation regarding smoking status and obesity, we were unable to investigate their potential impact on POP. Future multicenter prospective studies are needed to address these gaps.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec18">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of The First Medical Center of Chinese PLA General Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements. Written informed consent was obtained from the individual(s), and minor(s)&#x2019; legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>ZW: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. ZZ: Writing &#x2013; review &#x0026; editing, Data curation. ZY: Supervision, Writing &#x2013; original draft. XW: Project administration, Writing &#x2013; original draft. YL: Writing &#x2013; review &#x0026; editing, Project administration. MD: Writing &#x2013; review &#x0026; editing, Formal analysis. HY: Writing &#x2013; original draft, Software. YB: Visualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors want to thank all the guys at Department of Disease Control and Prevention for their help.</p>
</ack>
<sec sec-type="COI-statement" id="sec20">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec21">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec22">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/891085/overview">Adwoa Asante-Poku</ext-link>, University of Ghana, Ghana</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2164127/overview">Tommaso Sciortino</ext-link>, University at Buffalo, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3101510/overview">Meral Kanbak</ext-link>, Bozok University, T&#x00FC;rkiye</p></fn>
</fn-group>
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