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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2023.1219222</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Clinical Trial</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Risk factors for hypoxaemia following hip fracture surgery in elderly patients who recovered from COVID-19: a multicentre retrospective study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chi</surname>
<given-names>Wen</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pang</surname>
<given-names>Peng</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Zhenguo</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xiaobing</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cai</surname>
<given-names>Wenbo</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Wangyang</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hao</surname>
<given-names>Jianhong</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<xref rid="fn0011" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2306579/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Operating Room, HongHui Hospital, Xi&#x2019;an JiaoTong University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Anaesthesiology, Binzhou Medical College Affiliated Hospital</institution>, <addr-line>Binzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Anaesthesiology, HongHui Hospital, Xi&#x2019;an JiaoTong University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Orthopedic, Linfen Hospital Affiliated to Shanxi Medical University</institution>, <addr-line>Linfen</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Ornella Piazza, University of Salerno, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Mohammad Ali Zakeri, Rafsanjan University of Medical Sciences, Iran; Nikhil Tondehal, Mount Sinai Beth Israel, United States; Li Cong, Affiliated Hospital of Xuzhou Medical University, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Jianhong Hao, <email>haojianhong722@163.com</email></corresp>
<fn id="fn0011" fn-type="equal"><p><sup>&#x2020;</sup>ORCID: Jianhong Hao <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-5753-9910">https://orcid.org/0000-0001-5753-9910</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1219222</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Chi, Pang, Luo, Liu, Cai, Li and Hao.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chi, Pang, Luo, Liu, Cai, Li and Hao</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 id="sec1">
<title>Objectives</title>
<p>To explore the risk factors associated with postoperative hypoxaemia in elderly patients who have recovered from coronavirus disease (COVID-19) and underwent hip fracture surgery in the short term.</p>
</sec>
<sec id="sec2">
<title>Design</title>
<p>Multicentre retrospective study.</p>
</sec>
<sec id="sec3">
<title>Setting</title>
<p>The study was performed in three first 3A-grade hospitals in China.</p>
</sec>
<sec id="sec4">
<title>Participants</title>
<p>A sequential sampling method was applied to select study participants. Medical records of 392 patients aged &#x2265;65&#x2009;years who had recovered from COVID-19 and underwent hip fracture surgery at three hospitals in China between 1 November, 2022, and 15 February, 2023, were reviewed.</p>
</sec>
<sec id="sec5">
<title>Interventions</title>
<p>Patients were assigned to hypoxaemia or non-hypoxaemia groups, according to whether hypoxaemia occurred after surgery. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for postoperative hypoxaemia.</p>
</sec>
<sec id="sec6">
<title>Results</title>
<p>The incidence of postoperative hypoxaemia was 38.01%. Statistically significant differences were found between the two groups in terms of age, body mass index (BMI), American Society of Anesthesiologists (ASA) classification, presence of expectoration symptoms, preoperative hypoxaemia, chronic obstructive pulmonary disease, pulmonary inflammation, time between recovery from COVID-19 and surgery, anaesthetic mode, surgical procedure, intraoperative blood loss, intraoperative infusion, duration of surgery, and length of hospital stay (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Furthermore, patients with BMI &#x2265;28.0&#x2009;kg/m<sup>2</sup>, expectoration symptoms, presence of preoperative hypoxaemia, ASA classification III, time between recovery from COVID-19 and surgery &#x2264;2&#x2009;weeks, and general anaesthesia were potential risk factors for postoperative hypoxaemia.</p>
</sec>
<sec id="sec7">
<title>Conclusion</title>
<p>Obesity, expectoration symptoms, preoperative hypoxaemia, ASA classification III, time between recovery from COVID-19 and surgery &#x2264;2&#x2009;weeks, and general anaesthesia were potential risk factors for postoperative hypoxaemia in elderly patients who recovered from COVID-19 and underwent hip fracture surgery in the short term.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>hypoxia</kwd>
<kwd>hip fractures</kwd>
<kwd>aged</kwd>
<kwd>risk</kwd>
</kwd-group>
<contract-num rid="cn1">2023-YBSF-069</contract-num>
<contract-num rid="cn2">22YXYJ0019</contract-num>
<contract-sponsor id="cn1">Key Research and Development Project of Shaanxi Province</contract-sponsor>
<contract-sponsor id="cn2">Xi&#x2019;an Innovation Capability Strengthening Foundation Program</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="1"/>
<ref-count count="51"/>
<page-count count="10"/>
<word-count count="6501"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Intensive Care Medicine and Anesthesiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec8">
<label>1.</label>
<title>Introduction</title>
<p>Currently, the global coronavirus disease (COVID-19) pandemic is ongoing (<xref ref-type="bibr" rid="ref1">1</xref>). However, compared to the early days of the pandemic, most patients with COVID-19 exhibit mild symptoms and recover after 2&#x2009;weeks. The effect of COVID-19 on perioperative management remains a major concern (<xref ref-type="bibr" rid="ref2">2</xref>). Research has shown that patients with COVID-19 are at a higher risk of postoperative respiratory failure (<xref ref-type="bibr" rid="ref3">3</xref>&#x2013;<xref ref-type="bibr" rid="ref5">5</xref>). Despite a growing body of literature on COVID-19, there is limited research on identifying perioperative risk factors in recently recovered patients who undergo surgery in a short term, especially, in elderly patients with multiple comorbidities; these patients are at a higher risk of perioperative complications.</p>
<p>Hip fractures are a common occurrence in elderly patients, and surgical intervention is often required. With the aging of the Chinese population, the number of patients undergoing hip fracture surgery is increasing (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). Postoperative hypoxaemia is common in patients with hip fractures and is associated with prolonged hospital stays, high costs, and increased mortality (<xref ref-type="bibr" rid="ref8">8</xref>). At present, research on postoperative hypoxaemia in elderly patients with hip fracture mainly focuses on patients with or without COVID-19, and research on postoperative hypoxaemia in elderly patients with hip fracture who have recovered from COVID-19 is lacking (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). We hypothesized that factors such as basic characteristics of patients, COVID-19-related sequelae, and changes in blood indicators would affect the development of postoperative hypoxaemia in elderly patients who have recovered from COVID-19 and underwent hip fracture surgery. To test this hypothesis, we conducted a multicentre retrospective study to collect and analyse the relevant risk factors associated with postoperative hypoxaemia in elderly patients who have recovered from COVID-19 and underwent hip fracture surgery in the short term.</p>
</sec>
<sec sec-type="materials|methods" id="sec9">
<label>2.</label>
<title>Materials and methods</title>
<sec id="sec10">
<label>2.1.</label>
<title>Design, sample, and criteria for participation</title>
<p>This study was approved by our institutional review board. In this retrospective study, only medical records and case information were analysed, no patients were directly involved in setting the research questions or the outcome measures, and patient information was anonymized; therefore, written inform consent was waived by ethic committee.</p>
<p>This multicentre retrospective study included 392 patients who underwent hip fracture surgery at three hospitals (HongHui Hospital, Xi&#x2019;an JiaoTong University, Xi&#x2019;an, Shaanxi Province; Binzhou Medical College Affiliated Hospital, Binzhou, Shandong Province; and Linfen Hospital Affiliated to Shanxi Medical University, Linfen, Shanxi Province) in China between 1 November, 2022, and 10 February, 2023.</p>
<p>The sample size was determined based on the following assumptions. According to a previous study in Shanghai, China (<xref ref-type="bibr" rid="ref9">9</xref>), we used a sample proportion of 30.23, 95% confidence interval, and margin of error of 0.05. The sample size was calculated using the following formula:</p>
<disp-formula id="E1">
<mml:math id="M1">
<mml:mtable>
<mml:mtr>
<mml:mtd>
<mml:mi>N</mml:mi>
<mml:mo>=</mml:mo>
<mml:msup>
<mml:mi>z</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mi>p</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>p</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:msup>
<mml:mi>d</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mi>n</mml:mi>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo>=</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>1.96</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x00D7;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>0.3023</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mspace width="thickmathspace"/>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.3023</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>0.05</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>=</mml:mo>
<mml:mn>325.</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<p>where, <italic>n</italic>&#x2009;=&#x2009;sample size; <italic>p</italic>&#x2009;=&#x2009;30.23% of proportion; <italic>q</italic>&#x2009;=&#x2009;1&#x2009;&#x2212;&#x2009;<italic>p</italic>; <italic>d</italic>&#x2009;=&#x2009;desired degree of precision; and <italic>Z</italic>&#x2009;=&#x2009;the standard normal value at 95% confidence level. Considering a non-response rate of 5%, we increased the sample size to 342: <italic>n</italic>&#x2009;=&#x2009;(325&#x2009;+&#x2009;17)&#x2009;=&#x2009;342. To obtain more convincing results, we further expanded the sample size by 50, for a total of 392 samples.</p>
<p>Inclusion criteria were as follows: (1) patients aged &#x2265;65&#x2009;years who recovered from COVID-19 after formal treatment; and (2) patients who had fractures of the femoral neck or intertrochanteric fracture within 3&#x2009;months after recovery from COVID-19 and were scheduled for total hip replacement (THR), hemiarthroplasty (HA), or proximal femoral nail antirotation (PFNA). The exclusion criteria were as follows: (1) combined injuries and multiple fractures; (2) pathological fractures; (3) space-occupying lesions in the lungs; (4) liver and kidney insufficiency before COVID-19 diagnosis; and (5) patients with incomplete clinical data. The selection process is illustrated in <xref rid="fig1" ref-type="fig">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Process of selecting the study subjects.</p>
</caption>
<graphic xlink:href="fmed-10-1219222-g001.tif"/>
</fig>
</sec>
<sec id="sec11">
<label>2.2.</label>
<title>Data collection</title>
<p>Data were collected using a structured checklist adapted from different studies (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). The tool was prepared in English, and data were extracted through a review of patients&#x2019; medical charts by trained data collectors. The data extracted included age, sex, height, weight, symptoms including cough, expectoration, chest tightness, and hypoxaemia; American Society of Anesthesiologists (ASA) classification; comorbidities including hypertension, diabetes, coronary heart disease, chronic obstructive pulmonary disease (COPD), stroke, smoking status, chest computed tomography (CT) scans, time between recovery from COVID-19 and surgery, time from admission to surgery, fracture site (fracture of femoral neck or intertrochanteric fracture), surgical procedure (THR, HA, and PFNA), anaesthetic mode (general anaesthesia or intraspinal anaesthesia), intraoperative variables including blood loss, infusion, and duration of surgical time; length of hospital stay; and laboratory parameters including leukocytes, neutrophils, lymphocytes, haemoglobin, glutamic-pyruvic transaminase, glutamic-oxaloacetic transaminase, urea, creatinine, and lactic dehydrogenase. To ensure data quality, chart review was done on 5% (<italic>n</italic>&#x2009;=&#x2009;20) of the study population to test the checklist&#x2019;s structure and completeness, and essential modifications were made at HongHui Hospital, Xi&#x2019;an JiaoTong University. Preoperative hypoxaemia was defined as an arterial partial pressure of oxygen to fraction of inspired oxygen (PaO<sub>2</sub>/FiO<sub>2</sub>) ratio of &#x2264;300. Postoperative hypoxaemia was defined as a pulse oxygen saturation &#x003C;94% on room air (<xref ref-type="bibr" rid="ref13">13</xref>&#x2013;<xref ref-type="bibr" rid="ref15">15</xref>). Patients were sequentially assigned to hypoxaemia or non-hypoxaemia groups, according to whether hypoxaemia occurred after surgery. Chest-CT scans were used to determine the presence of pulmonary inflammation (<xref rid="fig2" ref-type="fig">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Chest computed tomography (CT) indicated non-regional ground-glass opacities in the lungs and infiltrative shadows.</p>
</caption>
<graphic xlink:href="fmed-10-1219222-g002.tif"/>
</fig>
</sec>
<sec id="sec12">
<label>2.3.</label>
<title>Statistical analysis</title>
<p>All data were analysed using SPSS<sup>&#x00AE;</sup> for Windows (version 18; SPSS Inc., Chicago, IL, United States). The measurement data of clinical indices are expressed as the mean&#x2009;&#x00B1;&#x2009;standard deviation (SD) and analysed using independent sample <italic>t</italic>-tests or the Wilcoxon rank-sum test. Count data are expressed as numbers (percentages) and analysed using either the chi-square test or Fisher&#x2019;s exact test, depending on the sample size and distribution of data. Factors with a <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 in the univariate analysis were selected for logistic multivariate regression analysis. Statistical significance was set at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3.</label>
<title>Results</title>
<sec id="sec14">
<label>3.1.</label>
<title>Patients&#x2019; demographic, clinical, and laboratory characteristics</title>
<p>A total of 392 patients were included, including 301 (76.78%) women and 91 (23.22%) men, with an average age of 79.32&#x2009;years (SD, 7.97; range, 65&#x2013;95) and an average body mass index (BMI) of 23.43&#x2009;kg/m<sup>2</sup> (SD, 3.59; range, 14.17&#x2013;39.52). Of the 392 patients, 208 had femoral neck fractures, and 184 had intertrochanteric fractures.</p>
<p>Regarding symptoms, 18.62% experienced cough, 7.90% expectoration, 6.12% chest tightness, and 15.56% hypoxaemia. Among 392 patients, 17.09% experienced pulmonary inflammation (<xref rid="tab1" ref-type="table">Table 1</xref>). A high proportion of patients experienced cough, expectoration, hypoxaemia, and pulmonary inflammation within 2&#x2009;weeks of recovery from COVID-19 (<xref rid="fig3" ref-type="fig">Figure 3</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographic and clinical characteristics of the patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Hypoxaemia</th>
<th align="center" valign="top">Non-hypoxaemia</th>
<th align="center" valign="top">Overall</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Number</td>
<td align="center" valign="bottom">149 (38.01)</td>
<td align="center" valign="bottom">243</td>
<td align="center" valign="bottom">392</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Age (years)</td>
<td/>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">65&#x2013;74</td>
<td align="center" valign="bottom">31 (20.81)</td>
<td align="center" valign="bottom">88 (36.21)</td>
<td align="center" valign="bottom">119 (30.36)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">75&#x2013;84</td>
<td align="center" valign="bottom">52 (34.90)</td>
<td align="center" valign="bottom">109 (44.86)</td>
<td align="center" valign="bottom">161 (41.07)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">&#x2265;85</td>
<td align="center" valign="bottom">66 (44.29)</td>
<td align="center" valign="bottom">46 (18.93)</td>
<td align="center" valign="bottom">112 (28.57)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Sex</td>
<td/>
<td/>
<td/>
<td align="center" valign="bottom">0.055</td>
</tr>
<tr>
<td align="left" valign="bottom">Women</td>
<td align="center" valign="bottom">99 (66.44)</td>
<td align="center" valign="bottom">202 (83.13)</td>
<td align="center" valign="bottom">301 (76.78)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Men</td>
<td align="center" valign="bottom">50 (33.56)</td>
<td align="center" valign="bottom">41 (16.87)</td>
<td align="center" valign="bottom">91 (23.22)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">BMI (kg/m<sup>2</sup>)</td>
<td/>
<td/>
<td/>
<td align="center" valign="bottom">0.022<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">18.5&#x2013;23.9</td>
<td align="center" valign="bottom">59 (39.60)</td>
<td align="center" valign="bottom">136 (55.97)</td>
<td align="center" valign="bottom">195 (49.74)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">&#x003C;18.5</td>
<td align="center" valign="bottom">17 (11.41)</td>
<td align="center" valign="bottom">21 (8.64)</td>
<td align="center" valign="bottom">38 (9.69)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">24.0&#x2013;27.9</td>
<td align="center" valign="bottom">49 (32.89)</td>
<td align="center" valign="bottom">72 (29.63)</td>
<td align="center" valign="bottom">121 (30.88)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">&#x2265;28.0</td>
<td align="center" valign="bottom">24 (16.10)</td>
<td align="center" valign="bottom">14 (5.76)</td>
<td align="center" valign="bottom">38 (9.69)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Symptoms</td>
</tr>
<tr>
<td align="left" valign="bottom">Cough</td>
<td align="center" valign="bottom">21 (14.09)</td>
<td align="center" valign="bottom">52 (21.39)</td>
<td align="center" valign="bottom">73 (18.62)</td>
<td align="center" valign="bottom">0.431</td>
</tr>
<tr>
<td align="left" valign="bottom">Expectoration</td>
<td align="center" valign="bottom">19 (12.75)</td>
<td align="center" valign="bottom">12 (4.93)</td>
<td align="center" valign="bottom">31 (7.90)</td>
<td align="center" valign="bottom">0.011<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">Chest tightness</td>
<td align="center" valign="bottom">11 (7.38)</td>
<td align="center" valign="bottom">13 (5.34)</td>
<td align="center" valign="bottom">24 (6.12)</td>
<td align="center" valign="bottom">0.227</td>
</tr>
<tr>
<td align="left" valign="bottom">Hypoxaemia</td>
<td align="center" valign="bottom">48 (32.21)</td>
<td align="center" valign="bottom">13 (5.34)</td>
<td align="center" valign="bottom">61 (15.56)</td>
<td align="center" valign="bottom">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">ASA classification</td>
<td/>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">I</td>
<td align="center" valign="bottom">18 (12.08)</td>
<td align="center" valign="bottom">52 (21.40)</td>
<td align="center" valign="bottom">70 (17.86)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">II</td>
<td align="center" valign="bottom">43 (28.86)</td>
<td align="center" valign="bottom">76 (31.28)</td>
<td align="center" valign="bottom">119 (30.36)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">III</td>
<td align="center" valign="bottom">88 (59.06)</td>
<td align="center" valign="bottom">115 (47.32)</td>
<td align="center" valign="bottom">203 (51.78)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Comorbidities</td>
</tr>
<tr>
<td align="left" valign="bottom">Hypertension</td>
<td align="center" valign="bottom">31 (20.80)</td>
<td align="center" valign="bottom">48 (19.75)</td>
<td align="center" valign="bottom">79 (20.15)</td>
<td align="center" valign="bottom">0.802</td>
</tr>
<tr>
<td align="left" valign="bottom">Diabetes</td>
<td align="center" valign="bottom">30 (20.13)</td>
<td align="center" valign="bottom">54 (22.22)</td>
<td align="center" valign="bottom">84 (21.42)</td>
<td align="center" valign="bottom">0.501</td>
</tr>
<tr>
<td align="left" valign="bottom">Coronary heart disease</td>
<td align="center" valign="bottom">33 (22.14)</td>
<td align="center" valign="bottom">60 (24.69)</td>
<td align="center" valign="bottom">93 (23.72)</td>
<td align="center" valign="bottom">0.683</td>
</tr>
<tr>
<td align="left" valign="bottom">Stroke</td>
<td align="center" valign="bottom">22 (14.76)</td>
<td align="center" valign="bottom">31 (12.75)</td>
<td align="center" valign="bottom">53 (13.52)</td>
<td align="center" valign="bottom">0.241</td>
</tr>
<tr>
<td align="left" valign="bottom">COPD</td>
<td align="center" valign="bottom">28 (18.79)</td>
<td align="center" valign="bottom">30 (12.34)</td>
<td align="center" valign="bottom">58 (14.79)</td>
<td align="center" valign="bottom">0.048<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">Smoking status</td>
<td align="center" valign="bottom">16 (10.73.)</td>
<td align="center" valign="bottom">28 (11.52)</td>
<td align="center" valign="bottom">44 (11.22)</td>
<td align="center" valign="bottom">0.148</td>
</tr>
<tr>
<td align="left" valign="bottom">Pulmonary inflammation</td>
<td align="center" valign="bottom">40 (26.84)</td>
<td align="center" valign="bottom">27 (11.11)</td>
<td align="center" valign="bottom">67 (17.09)</td>
<td align="center" valign="bottom">0.011<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">Time between recovery from COVID-19 and surgery (weeks)</td>
<td/>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2264;2</td>
<td align="center" valign="bottom">47 (31.54)</td>
<td align="center" valign="bottom">30 (12.35)</td>
<td align="center" valign="bottom">77 (19.64)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">2&#x2013;4</td>
<td align="center" valign="bottom">31 (20.81)</td>
<td align="center" valign="bottom">57 (23.46)</td>
<td align="center" valign="bottom">88 (22.45)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">&#x003E;4</td>
<td align="center" valign="bottom">71 (47.65)</td>
<td align="center" valign="bottom">156 (64.19)</td>
<td align="center" valign="bottom">227 (57.91)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Time from admission to surgery (hours)</td>
<td align="center" valign="bottom">39.81&#x2009;&#x00B1;&#x2009;3.78</td>
<td align="center" valign="bottom">41.49&#x2009;&#x00B1;&#x2009;4.58</td>
<td align="center" valign="bottom">40.73&#x2009;&#x00B1;&#x2009;5.08</td>
<td align="center" valign="bottom">0.725</td>
</tr>
<tr>
<td align="left" valign="bottom">Fracture site</td>
<td/>
<td/>
<td/>
<td align="center" valign="bottom">0.071</td>
</tr>
<tr>
<td align="left" valign="bottom">Fracture of femoral neck</td>
<td align="center" valign="bottom">74 (49.66)</td>
<td align="center" valign="bottom">134 (55.14)</td>
<td align="center" valign="bottom">208 (53.06)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Intertrochanteric fracture</td>
<td align="center" valign="bottom">75 (50.34)</td>
<td align="center" valign="bottom">109 (44.86)</td>
<td align="center" valign="bottom">184 (46.94)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Surgical procedure</td>
<td/>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">THR</td>
<td align="center" valign="bottom">23 (15.44)</td>
<td align="center" valign="bottom">59 (24.28)</td>
<td align="center" valign="bottom">82 (20.92)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">HA</td>
<td align="center" valign="bottom">85 (57.05)</td>
<td align="center" valign="bottom">124 (51.03)</td>
<td align="center" valign="bottom">209 (53.32)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">PFNA</td>
<td align="center" valign="bottom">41 (27.51)</td>
<td align="center" valign="bottom">60 (24.69)</td>
<td align="center" valign="bottom">101 (25.76)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Anesthetic mode</td>
</tr>
<tr>
<td align="left" valign="bottom">General anesthesia</td>
<td align="center" valign="bottom">96 (64.43)</td>
<td align="center" valign="bottom">105 (43.21)</td>
<td align="center" valign="bottom">201 (51.28)</td>
<td align="center" valign="bottom">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">Intraspinal anesthesia</td>
<td align="center" valign="bottom">53 (35.57)</td>
<td align="center" valign="bottom">138 (56.79)</td>
<td align="center" valign="bottom">191 (48.72)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5">Variables of intra-operation</td>
</tr>
<tr>
<td align="left" valign="bottom">Blood loss (mL)</td>
<td align="center" valign="bottom">271.80&#x2009;&#x00B1;&#x2009;42.55</td>
<td align="center" valign="bottom">314.80&#x2009;&#x00B1;&#x2009;37.95</td>
<td align="center" valign="bottom">301&#x2009;&#x00B1;&#x2009;33.91</td>
<td align="center" valign="bottom">0.031<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">Infusion (mL)</td>
<td align="center" valign="bottom">1690.70&#x2009;&#x00B1;&#x2009;249.60</td>
<td align="center" valign="bottom">1909.50&#x2009;&#x00B1;&#x2009;245.80</td>
<td align="center" valign="bottom">1879&#x2009;&#x00B1;&#x2009;225.31</td>
<td align="center" valign="bottom">0.012<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">Duration of surgical time (min)</td>
<td align="center" valign="bottom">74.65&#x2009;&#x00B1;&#x2009;3.84</td>
<td align="center" valign="bottom">87.52&#x2009;&#x00B1;&#x2009;3.63</td>
<td align="center" valign="bottom">82.79&#x2009;&#x00B1;&#x2009;2.41</td>
<td align="center" valign="bottom">0.044<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="bottom">Length of hospital stay, days</td>
<td align="center" valign="bottom">11.32&#x2009;&#x00B1;&#x2009;1.14</td>
<td align="center" valign="bottom">8.56&#x2009;&#x00B1;&#x2009;2.87</td>
<td align="center" valign="bottom">10.71&#x2009;&#x00B1;&#x2009;1.97</td>
<td align="center" valign="bottom">0.011<sup>&#x002A;</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; COPD, chronic obstructive pulmonary disease; ASA, American Society of Anesthesiologists; COVID-19, novel coronavirus disease 2019; THR, total hip replacement; HA, hemiarthroplasty; PFNA, proximal femoral nail antirotation. <sup>&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Proportion of patients experiencing cough, expectoration, chest tightness, hypoxaemia, and pulmonary inflammation at different time intervals. T1: time between recovery from COVID-19 and surgery &#x2264;2&#x2009;weeks; T2: 2&#x2009;weeks &#x003C; time between recovery from COVID-19 and surgery &#x2264;4&#x2009;weeks; T3: time between recovery from COVID-19 and surgery &#x003E;4&#x2009;weeks.</p>
</caption>
<graphic xlink:href="fmed-10-1219222-g003.tif"/>
</fig>
<p>Regarding laboratory parameters for the 392 patients, leukocytes count, neutrophil count, glutamic-pyruvic transaminase level, glutamic-oxaloacetic transaminase level, blood urea level, serum creatinine level, and lactic dehydrogenase level were above the upper limit of normal in 5.35%, 2.80%, 3.06%, 5.61%, 5.86%, 7.65%, and 7.90% of patients, respectively. The lymphocyte count was below the lower limit of normal in 10.96% of the patients.</p>
</sec>
<sec id="sec15">
<label>3.2.</label>
<title>Incidence of postoperative hypoxaemia</title>
<p>The incidence of postoperative hypoxaemia was 38.01% (<xref rid="tab1" ref-type="table">Table 1</xref>). Of all postoperative hypoxaemia cases, 92.62% (138 of 149) presented with an oxygen saturation of 85%&#x2013;93% on room air; these patients returned to the ward after surgery for supplemental oxygen therapy, and 7.38% (11 of 149) presented with an oxygen saturation of &#x003C;85% on room air. After surgery, all patients were administered general anaesthesia, kept intubated with an endotracheal tube, and were subsequently admitted to the intensive care unit (ICU) for further treatment. In the ICU, one patient died on postoperative day 17 due to respiratory failure. In the ward, one patient without postoperative hypoxaemia died on postoperative day 2, likely due to pulmonary embolism. All the other patients recovered and were discharged.</p>
</sec>
<sec id="sec16">
<label>3.3.</label>
<title>Risk factors for postoperative hypoxaemia</title>
<p>Based on age, patients were divided into three groups: (1) 65&#x2009;years &#x2264; age &#x2264; 74&#x2009;years, (2) 75&#x2009;years &#x2264; age &#x2264;&#x2009;4&#x2009;years, and (3) age &#x2265;85&#x2009;years. The average time between recovery from COVID-19 and surgery was 4.04&#x2009;weeks (SD, 0.46; range, 1.00&#x2013;11.00; median, 4.00). Therefore, patients were divided into three groups according to the time between recovery from COVID-19 and surgery: (1) &#x2264;2&#x2009;weeks, (2) &#x003E;2&#x2009;weeks and &#x2264;4&#x2009;weeks, and (3) &#x003E;4&#x2009;weeks. Statistically significant differences were found in terms of age, BMI, ASA classification, time between recovery from COVID-19 and surgery, surgical procedure, and anaesthetic mode between patients with and without postoperative hypoxaemia (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Patients with postoperative hypoxaemia had a higher prevalence of expectoration (12.75% vs. 4.93%, <italic>p</italic>&#x2009;=&#x2009;0.011), preoperative hypoxaemia (32.21% vs. 5.34%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), COPD (18.79% vs. 12.34%, <italic>p</italic>&#x2009;=&#x2009;0.048), and pulmonary inflammation (26.84% vs. 11.11%, <italic>p</italic>&#x2009;=&#x2009;0.011) than those without postoperative hypoxaemia (<xref rid="tab1" ref-type="table">Table 1</xref>).</p>
<p>No statistically significant differences were found in sex, cough, chest tightness, hypertension, diabetes, coronary heart disease, stroke, smoking status, time from admission to surgery, fracture site, or laboratory parameters (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05) (<xref rid="tab1" ref-type="table">Tables 1</xref>, <xref rid="tab2" ref-type="table">2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Laboratory parameters of the patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2"/>
<th align="center" valign="middle" rowspan="2">Normal range</th>
<th align="center" valign="middle">Mean&#x2009;&#x00B1;&#x2009;SD (min, max)</th>
<th align="center" valign="middle" rowspan="2">Non-hypoxemia (<italic>N</italic> =&#x2009;243)</th>
<th align="center" valign="middle" rowspan="2">Overall (<italic>N</italic> =&#x2009;392)</th>
<th align="center" valign="middle" rowspan="2">
<italic>p</italic>
</th>
</tr>
<tr>
<th align="center" valign="middle">Hypoxemia (<italic>N</italic> =&#x2009;149)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Leucocytes, &#x00D7;10<sup>9</sup> /L</td>
<td align="char" valign="middle" char="&#x2013;">3.5&#x2013;9.5</td>
<td align="char" valign="middle" char="(">5.81&#x2009;&#x00B1;&#x2009;2.44 (2.51&#x2013;11.17)</td>
<td align="char" valign="middle" char="(">5.93&#x2009;&#x00B1;&#x2009;2.12 (2.67&#x2013;12.11)</td>
<td align="char" valign="middle" char="(">5.88&#x2009;&#x00B1;&#x2009;1.99 (2.51&#x2013;12.11)</td>
<td align="char" valign="middle" char=".">0.210</td>
</tr>
<tr>
<td align="left" valign="middle">Neutrophils, &#x00D7;10<sup>9</sup> /L</td>
<td align="char" valign="middle" char="&#x2013;">2&#x2013;7.7</td>
<td align="char" valign="middle" char="(">4.52&#x2009;&#x00B1;&#x2009;2.75 (1.62&#x2013;12.93)</td>
<td align="char" valign="middle" char="(">4.77&#x2009;&#x00B1;&#x2009;2.34 (1.69&#x2013;11.99)</td>
<td align="char" valign="middle" char="(">4.60&#x2009;&#x00B1;&#x2009;2.21 (1.62&#x2013;12.93)</td>
<td align="char" valign="middle" char=".">0.334</td>
</tr>
<tr>
<td align="left" valign="middle">Lymphocytes, &#x00D7;10<sup>9</sup> /L</td>
<td align="char" valign="middle" char="&#x2013;">0.80&#x2013;4.00</td>
<td align="char" valign="middle" char="(">0.95&#x2009;&#x00B1;&#x2009;0.55 (0.26&#x2013;2.27)</td>
<td align="char" valign="middle" char="(">0.91&#x2009;&#x00B1;&#x2009;0.33 (0.30&#x2013;2.16)</td>
<td align="char" valign="middle" char="(">0.93&#x2009;&#x00B1;&#x2009;0.39 (0.26&#x2013;2.27)</td>
<td align="char" valign="middle" char=".">0.679</td>
</tr>
<tr>
<td align="left" valign="middle">Hemoglobin, g/L</td>
<td align="char" valign="middle" char="&#x2013;">130&#x2013;175</td>
<td align="char" valign="middle" char="(">116.24&#x2009;&#x00B1;&#x2009;12.05 (91&#x2013;131)</td>
<td align="char" valign="middle" char="(">121.01&#x2009;&#x00B1;&#x2009;9.79 (90&#x2013;147)</td>
<td align="char" valign="middle" char="(">119.17&#x2009;&#x00B1;&#x2009;9.98 (90&#x2013;147)</td>
<td align="char" valign="middle" char=".">0.553</td>
</tr>
<tr>
<td align="left" valign="middle">Glutamic-pyruvic transaminase, U/L</td>
<td align="char" valign="middle" char="&#x2013;">9&#x2013;50</td>
<td align="char" valign="middle" char="(">26.65&#x2009;&#x00B1;&#x2009;15.98 (8.6&#x2013;56.4)</td>
<td align="char" valign="middle" char="(">27.23&#x2009;&#x00B1;&#x2009;14.76 (9.1&#x2013;55.9)</td>
<td align="char" valign="middle" char="(">27.00&#x2009;&#x00B1;&#x2009;13.99 (8.6&#x2013;56.4)</td>
<td align="char" valign="middle" char=".">0.578</td>
</tr>
<tr>
<td align="left" valign="middle">Glutamic-oxalacetic transaminase, U/L</td>
<td align="char" valign="middle" char="&#x2013;">15&#x2013;40</td>
<td align="char" valign="middle" char="(">33.43&#x2009;&#x00B1;&#x2009;24.80 (12.1&#x2013;94)</td>
<td align="char" valign="middle" char="(">32.98&#x2009;&#x00B1;&#x2009;23.16 (12.5&#x2013;101)</td>
<td align="char" valign="middle" char="(">33.17&#x2009;&#x00B1;&#x2009;21.58 (12.1&#x2013;101)</td>
<td align="char" valign="middle" char=".">0.467</td>
</tr>
<tr>
<td align="left" valign="middle">Blood urea, mmol/L</td>
<td align="char" valign="middle" char="&#x2013;">3.1&#x2013;8.0</td>
<td align="char" valign="middle" char="(">6.84&#x2009;&#x00B1;&#x2009;4.60 (3.4&#x2013;18.7)</td>
<td align="char" valign="middle" char="(">7.11&#x2009;&#x00B1;&#x2009;4.44 (4.0&#x2013;15.6)</td>
<td align="char" valign="middle" char="(">6.99&#x2009;&#x00B1;&#x2009;3.09 (3.4&#x2013;18.7)</td>
<td align="char" valign="middle" char=".">0.456</td>
</tr>
<tr>
<td align="left" valign="middle">Serum creatinine, umol/L</td>
<td align="char" valign="middle" char="&#x2013;">57&#x2013;97</td>
<td align="char" valign="middle" char="(">82.83&#x2009;&#x00B1;&#x2009;23.18 (45.8&#x2013;136.9)</td>
<td align="char" valign="middle" char="(">71.01&#x2009;&#x00B1;&#x2009;24.81 (39.9&#x2013;141.8)</td>
<td align="char" valign="middle" char="(">77.80&#x2009;&#x00B1;&#x2009;15.46 (39.9&#x2013;141.8)</td>
<td align="char" valign="middle" char=".">0.337</td>
</tr>
<tr>
<td align="left" valign="middle">Lactic dehydrogenase, U/L</td>
<td align="char" valign="middle" char="&#x2013;">120&#x2013;250</td>
<td align="char" valign="middle" char="(">219.56&#x2009;&#x00B1;&#x2009;34.71 (131&#x2013;392)</td>
<td align="char" valign="middle" char="(">227.34&#x2009;&#x00B1;&#x2009;28.57 (108&#x2013;338)</td>
<td align="char" valign="middle" char="(">222.07&#x2009;&#x00B1;&#x2009;41.21 (108&#x2013;392)</td>
<td align="char" valign="middle" char=".">0.462</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Moreover, patients with postoperative hypoxaemia exhibited a lower amount of bleeding (271.80&#x2009;&#x00B1;&#x2009;42.55 vs. 314.80&#x2009;&#x00B1;&#x2009;37.95, <italic>p</italic>&#x2009;=&#x2009;0.031), fluid infusion volume (1690.70&#x2009;&#x00B1;&#x2009;249.60 vs. 1909.50&#x2009;&#x00B1;&#x2009;245.80, <italic>p</italic>&#x2009;=&#x2009;0.012) and duration of surgical time (74.65&#x2009;&#x00B1;&#x2009;3.84 vs. 94.52&#x2009;&#x00B1;&#x2009;3.63, <italic>p</italic>&#x2009;=&#x2009;0.044) than patients without postoperative hypoxaemia. Patients with postoperative hypoxaemia had a longer hospital stay (11.32&#x2009;&#x00B1;&#x2009;1.14 vs. 8.56&#x2009;&#x00B1;&#x2009;2.87, <italic>p</italic>&#x2009;=&#x2009;0.011) than patients without postoperative hypoxaemia (<xref rid="tab1" ref-type="table">Table 1</xref>).</p>
</sec>
<sec id="sec17">
<label>3.4.</label>
<title>Multivariate analysis of risk factors for postoperative hypoxaemia</title>
<p>Multivariate analysis showed that a BMI&#x2009;&#x2265;&#x2009;28.0&#x2009;kg/m<sup>2</sup> [odds ratio (OR)&#x2009;=&#x2009;1.501, 95% confidence interval (CI) 1.098&#x2013;3.421, <italic>p</italic>&#x2009;=&#x2009;0.012], expectoration symptoms (OR&#x2009;=&#x2009;1.345, 95% CI 1.127&#x2013;2.908, <italic>p</italic>&#x2009;=&#x2009;0.001), preoperative hypoxaemia (OR&#x2009;=&#x2009;2.345, 95% CI 1.442&#x2013;3.815, <italic>p</italic> &#x003C;&#x2009;0.001), ASA classification III (OR&#x2009;=&#x2009;1.434, 95% CI 1.023&#x2013;2.010, <italic>p</italic>&#x2009;=&#x2009;0.037), time between recovery from COVID-19 and surgery &#x2264;2&#x2009;weeks (OR&#x2009;=&#x2009;1.695, 95% CI 1.319&#x2013;2.817, <italic>p</italic>&#x2009;=&#x2009;0.001), and general anaesthesia (OR&#x2009;=&#x2009;2.516, 95% CI 1.902&#x2013;3.897, <italic>p</italic>&#x2009;=&#x2009;0.018) were independent risk factors for postoperative hypoxaemia (<xref rid="tab3" ref-type="table">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Multivariate logistic regression analysis for risk factors associated with postoperative hypoxaemia.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Risk factors</th>
<th align="center" valign="top">Adjusted odds ratio (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="3">BMI (kg/m<sup>2</sup>)</td>
</tr>
<tr>
<td align="left" valign="middle">18.5&#x2013;23.9</td>
<td align="center" valign="middle">1.0 (reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;18.5</td>
<td align="center" valign="middle">1.718 (0.699&#x2013;4.223)</td>
<td align="center" valign="middle">0.239</td>
</tr>
<tr>
<td align="left" valign="middle">24.0&#x2013;27.9</td>
<td align="center" valign="middle">1.260 (0.565&#x2013;5.279)</td>
<td align="center" valign="middle">0.437</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;28.0</td>
<td align="center" valign="middle">1.501 (1.098&#x2013;3.421)</td>
<td align="center" valign="middle">0.012<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Expectoration symptoms</td>
<td align="center" valign="middle">1.345 (1.127&#x2013;2.908)</td>
<td align="center" valign="middle">0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Preoperative hypoxaemia</td>
<td align="center" valign="middle">2.335 (1.442&#x2013;3.815)</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">ASA classification</td>
</tr>
<tr>
<td align="left" valign="middle">I</td>
<td align="center" valign="middle">1.0 (reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">II</td>
<td align="center" valign="middle">1.021 (0.655&#x2013;1.991)</td>
<td align="center" valign="middle">0.079</td>
</tr>
<tr>
<td align="left" valign="middle">III</td>
<td align="center" valign="middle">1.434 (1.023&#x2013;2.010)</td>
<td align="center" valign="middle">0.037<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">Time between recovery from COVID-19 and surgery (weeks)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003E;4</td>
<td align="center" valign="middle">1.0 (reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">2&#x2013;4</td>
<td align="center" valign="middle">1.776 (0.472&#x2013;1.977)</td>
<td align="center" valign="middle">0.218</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2264;2</td>
<td align="center" valign="middle">1.695 (1.319&#x2013;2.817)</td>
<td align="center" valign="middle">0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">Anesthetic mode</td>
</tr>
<tr>
<td align="left" valign="middle">Intraspinal anesthesia</td>
<td align="center" valign="middle">1.0 (reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">General anesthesia</td>
<td align="center" valign="middle">2.516 (1.902&#x2013;3.897)</td>
<td align="center" valign="middle">0.018<sup>&#x002A;</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; ASA, American Society of Anesthesiologists; COVID-19, novel coronavirus disease 2019. <sup>&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussions" id="sec18">
<label>4.</label>
<title>Discussion</title>
<p>Severe acute respiratory syndrome coronavirus (SARS-CoV-2) mainly invades respiratory epithelial cells, and patients infected with SARS-CoV-2 can develop an inflammatory response and acute lung injury (<xref ref-type="bibr" rid="ref16">16</xref>). The symptomatic phase manifests as fever, cough, myalgia, and severe respiratory failure (<xref ref-type="bibr" rid="ref17">17</xref>). Changes in laboratory parameters include decreased lymphocyte count, increased neutrophil and leukocyte counts, and elevated glutamic-pyruvic transaminase, glutamic-oxaloacetic transaminase, creatinine, and lactic dehydrogenase level (<xref ref-type="bibr" rid="ref18">18</xref>). Chest CT scans show non-regional ground-glass opacities in the lungs and infiltrative shadows (<xref ref-type="bibr" rid="ref19">19</xref>). In this study, we found that a certain proportion of elderly patients who had recovered from COVID-19 within 3&#x2009;months experienced persistent respiratory symptoms, including cough, expectoration, chest tightness, hypoxaemia, abnormal laboratory parameters, and chest CT scan changes, which is consistent with the results of Taquet et al. (<xref ref-type="bibr" rid="ref20">20</xref>) and Cares-Marambio et al. (<xref ref-type="bibr" rid="ref21">21</xref>). Taquet et al. (<xref ref-type="bibr" rid="ref20">20</xref>) reported that, among COVID-19 survivors, 7.90% still exhibited abnormal breathing symptoms and serological indicator changes in the 1 to 180-day period after SARS-CoV-2 infection. Cares-Marambio et al. (<xref ref-type="bibr" rid="ref21">21</xref>) reported that fatigue, breathlessness, chest pain, and cough were the most common respiratory symptoms of COVID-19 survivors between 3&#x2009;weeks and 3&#x2009;months after hospital discharge. However, it is worth noting that respiratory symptoms, such as cough, expectoration, chest tightness, hypoxaemia, and serological indicator changes are not specific to COVID-19 (<xref ref-type="bibr" rid="ref22">22</xref>). Some patients may develop upper respiratory tract infection and systemic inflammatory response caused by other viruses after recovery from COVID-19 and discharge, which can also cause the above respiratory symptoms and serological changes, leading to an overestimation of the incidence of COVID-19 sequelae.</p>
<sec id="sec19">
<label>4.1.</label>
<title>Incidence of postoperative hypoxaemia</title>
<p>In elderly patients who recovered from COVID-19 and underwent hip fracture surgery in the short term, the incidence of postoperative hypoxaemia was 38.01%, which was higher than the incidence of 30.23% reported in previous studies among non-infected patients and lower than the incidence of 50.00% among patients with COVID-19 (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). In addition, of all postoperative hypoxaemia cases, 92.62% only required mask oxygen inhalation after surgery and 7.38% required mechanical ventilation. Of all the subjects in this study, one patient died due to respiratory failure, one patient died due to pulmonary embolism, and all other patients recovered and were discharged. The mortality rate in this study was much lower than that in previous reports among patients with COVID-19. A study by Catellani et al. (<xref ref-type="bibr" rid="ref23">23</xref>) reported 13 COVID-positive patients with proximal femoral fractures who underwent surgery in northern Italy, of whom 4 (30.8%) died within 1&#x2009;week after surgery. Another study by Maniscalco et al. (<xref ref-type="bibr" rid="ref24">24</xref>), conducted in Italy, reported a mortality rate of 43.8% (14/32) within 21&#x2009;days after surgery in COVID-positive hip fracture patients. This suggests that elderly patients with hip fractures who have recovered from COVID-19 may have temporarily increased oxygen demands postoperatively, but can safely undergo early surgical intervention after appropriate medical optimisation.</p>
</sec>
<sec id="sec20">
<label>4.2.</label>
<title>Risk factors for postoperative hypoxaemia</title>
<p>Several studies have shown that obesity is an independent risk factor for postoperative hypoxaemia. Labaste et al. (<xref ref-type="bibr" rid="ref25">25</xref>) reported that BMI &#x003E;30&#x2009;kg/m<sup>2</sup> was an independent risk factor for hypoxaemia during transfers to PACU in all postoperative patients. Aizawa et al. (<xref ref-type="bibr" rid="ref26">26</xref>) found that obesity was associated with increased risk of postoperative hypoxaemia, as well as prolonged intubation time and ICU length of stay. In this study, we also found that obesity was an independent risk factor for postoperative hypoxaemia in elderly patients who recovered from COVID-19 and underwent hip fracture surgery. There are two main theories to explain this result: first, in patients with obesity, the decrease in lung compliance is evident, and the work of breathing and respiratory resistance is increased (<xref ref-type="bibr" rid="ref27">27</xref>); second, obesity is often accompanied by several complications, including obstructive sleep apnoea and hypopnea syndrome, which are related to hypoxia (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>The incidence of preoperative hypoxaemia is high in patients with hip fracture (13.8&#x2013;23.8%), and can persist throughout the perioperative period (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref29">29</xref>). Lung lesions, post-traumatic pulmonary micro thromboembolism, fat embolism syndrome, and damage-associated molecular patterns may contribute to preoperative hypoxaemia (<xref ref-type="bibr" rid="ref11">11</xref>). In this study, we found that preoperative hypoxaemia was an independent risk factor for postoperative hypoxaemia, which was consistent with the findings of Luna et al. (<xref ref-type="bibr" rid="ref30">30</xref>). In their study, preoperative hypoxaemia significantly increased the risk of postoperative hypoxaemic events during the first week in patients undergoing joint replacement.</p>
<p>ASA classification system is designed to provide perioperative clinicians with a simple classification of patient physiological status to help predict surgical risk (<xref ref-type="bibr" rid="ref31">31</xref>). It is used to evaluate the tolerance of elderly patients to anaesthesia before surgery and to accurately predict postoperative cardiopulmonary events (<xref ref-type="bibr" rid="ref32">32</xref>). In this study, we found that ASA classification III was an independent risk factor for postoperative hypoxaemia. Luna et al. (<xref ref-type="bibr" rid="ref30">30</xref>) reported that ASA classification had a significant correlation not only with the occurrence of postoperative hypoxemia but also with the occurrence of hypoxemia after discharge.</p>
<p>We also found that general anaesthesia was an independent risk factor for postoperative hypoxaemia, which may be related to postoperative pain, opioid administration, and postoperative muscular strength. A study has shown that for hip surgery, compared with general anaesthesia, patients who received intrathecal anaesthesia had lower pain scores at all evaluated time points and required less postoperative oral morphine (<xref ref-type="bibr" rid="ref33">33</xref>). Postoperative pain was associated with postoperative hypoxaemia. Compared to patients with severe pain, patients with mild and no pain were 82% and 88% less likely to experience postoperative hypoxaemia, respectively (<xref ref-type="bibr" rid="ref34">34</xref>). Peripheral tissue oxygen saturation was reduced in response to pain, which may account for the association between severe pain and hypoxemia (<xref ref-type="bibr" rid="ref35">35</xref>). In addition, general anaesthesia requires muscle relaxants and more opioids than intrathecal anaesthesia. Previous studies have shown that opioids are highly correlated with postoperative hypoxaemia, which is related to the respiratory depression effect of opioids, and that residual neuromuscular blockade is an independent risk factor for critical respiratory events in the PACU (<xref ref-type="bibr" rid="ref36">36</xref>).</p>
<p>In addition to the above independent risk factors, we found that expectoration symptoms and a time between recovery from COVID-19 and surgery &#x2264;2&#x2009;weeks were risk factors for postoperative hypoxaemia in elderly patients who recovered from COVID-19 and underwent hip fracture surgery in the short term. Expectoration symptoms can cause hypoxia in patients by blocking the respiratory tract with viscous mucus and sputum (<xref ref-type="bibr" rid="ref37">37</xref>). In particular, sputum increase during mechanical ventilation under general anaesthesia can further cause airway obstruction (<xref ref-type="bibr" rid="ref38">38</xref>). Therefore, sputum aspiration should be performed in patients with more sputum during the operation. Moreover, some studies have suggested that the use of a humidifier may be effective if a patient exhibits viscous sputum (<xref ref-type="bibr" rid="ref39">39</xref>). Lateral position ventilation combined with vibration sputum drainage is more effective in promoting expectoration and improving respiratory function (<xref ref-type="bibr" rid="ref40">40</xref>). Wir&#x00E9;n et al. (<xref ref-type="bibr" rid="ref41">41</xref>) reported that patients with respiratory disease symptoms had an increased risk of hypoxaemia following surgery. In our study, we found that a high proportion of patients experienced cough, expectoration, hypoxaemia, and pulmonary inflammation within 2&#x2009;weeks after recovery from COVID-19. This resulted in a higher incidence of postoperative hypoxaemia in elderly patients who have recovered from COVID-19 and underwent hip fracture surgery within 2&#x2009;weeks.</p>
<p>Univariate analysis showed significant differences in age, COPD, pulmonary inflammation, and surgical procedures between patients with and without postoperative hypoxaemia. However, the logistic multivariate analysis showed that they were not independent risk factors for postoperative hypoxaemia. This may be related to the ASA classification and preoperative hypoxaemia. Patients with advanced age and multiple comorbidities, had a higher ASA classification (<xref ref-type="bibr" rid="ref42">42</xref>). Unlike THR, HA and PFNA are typically used in elderly and infirm patients with a higher ASA classification (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref44">44</xref>). Patients with COPD and pulmonary inflammation have a higher risk of developing preoperative hypoxaemia (<xref ref-type="bibr" rid="ref45">45</xref>).</p>
<p>In addition, we found that patients with postoperative hypoxaemia had a lower amount of bleeding, fluid infusion volume, and duration of surgery than those without postoperative hypoxaemia. This was because a higher proportion of patients in the non-hypoxaemia group underwent THA than those in the hypoxaemia group. Compared with hemiarthroplasty, total HA is complicated, takes a long time, has a large amount of blood loss, and requires a large amount of fluid infusion (<xref ref-type="bibr" rid="ref46">46</xref>).</p>
<p>Based on the analysis of the above risk factors, we suggest that, it is not advisable to reduce the risk of postoperative hypoxaemia by completely improving respiratory symptoms or by postponing surgery. Research shows that surgical treatment should be performed within the first 24&#x2009;h, beyond which the odds of perioperative complications increase, and there is a significant increase in mortality when surgery is delayed for more than 48&#x2009;h (<xref ref-type="bibr" rid="ref47">47</xref>). Second, in the absence of contraindications, spinal anaesthesia should be administered. General anaesthesia is a risk factor for postoperative hypoxaemia, and all patients who experience severe postoperative hypoxemia received general anaesthesia. Third, for patients who must be administered general anaesthesia, pulmonary function exercise, vibration sputum excretion, and atomisation inhalation can be used to improve pulmonary function, and supplemental oxygen therapy was administered immediately after the operation.</p>
</sec>
<sec id="sec21">
<label>4.3.</label>
<title>Limitations of this study</title>
<p>This study has two limitations. First, postoperative hypoxaemia was defined as a pulse oxygen saturation of &#x003C;94% on room air. A variety of factors can interfere with the accuracy of pulse oxygen saturation detection, such as finger cuff displacement, cold fingertip skin, abnormal fingertip skin or colour, and monitoring limb blood oxygen disorders, resulting in low pulse oxygen saturation readings (<xref ref-type="bibr" rid="ref48">48</xref>). Second, no patients underwent regional block anaesthesia in the study sample. Studies have shown that lumbar plexus block anaesthesia has less impact on circulation and breathing than general anaesthesia and spinal anaesthesia in patients with hip fractures (<xref ref-type="bibr" rid="ref49">49</xref>&#x2013;<xref ref-type="bibr" rid="ref51">51</xref>). Lumbar plexus block anaesthesia may provide greater benefits for older patients who have recently recovered from COVID-19 and undergone hip fracture surgery.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec22">
<label>5.</label>
<title>Conclusion</title>
<p>A certain proportion of elderly patients who recovered from COVID-19 within 3&#x2009;months still exhibited persistent respiratory symptoms, abnormal laboratory parameters, and chest CT scan changes. In these patients, the incidence of hypoxaemia after hip fracture surgery was 38.01%. Obesity, expectoration symptoms, preoperative hypoxaemia, ASA classification III, time between recovery from COVID-19 and surgery &#x2264;2&#x2009;weeks, and general anaesthesia were potential risk factors for postoperative hypoxaemia. Our findings suggest that elderly patients with hip fractures who recovered from COVID-19 may have temporarily increased oxygen demands postoperatively but can safely undergo early surgical intervention after appropriate medical optimisation.</p>
</sec>
<sec sec-type="data-availability" id="sec23">
<title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: the datasets used and analysed during the current study are available from the corresponding author on reasonable request. Requests to access these datasets should be directed to JH, <email>haojianhong722@163.com</email>.</p>
</sec>
<sec id="sec24">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Review Coard of HongHui Hospital. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="sec25">
<title>Author contributions</title>
<p>JH, WC, and ZL conceived and designed the study, and helped to draft and revise the manuscript. PP, WL, and XL performed data collection. WBC helped to analyse the data and conduct the analysis software. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="sec26">
<title>Funding</title>
<p>This work was funded by the Key Research and Development Project of Shaanxi Province (No. 2023-YBSF-069) and Xi&#x2019;an Innovation Capability Strengthening Foundation Program (22YXYJ0019).</p>
</sec>
<sec sec-type="COI-statement" id="sec27">
<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="sec100" 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>
</body>
<back>
<ack>
<p>All the authors of the manuscript are immensely grateful to their respective universities and hospitals for their technical assistance and valuable support in the completion of this research project.</p>
</ack>
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<glossary>
<def-list>
<title>Abbreviations</title>
<def-item>
<term>ASA</term>
<def>
<p>American Society of Anesthesiologists</p>
</def>
</def-item>
<def-item>
<term>BMI</term>
<def>
<p>Body Mass Index</p>
</def>
</def-item>
<def-item>
<term>CI</term>
<def>
<p>Confidence Interval</p>
</def>
</def-item>
<def-item>
<term>COPD</term>
<def>
<p>Chronic Obstructive Pulmonary Disease</p>
</def>
</def-item>
<def-item>
<term>COVID-19</term>
<def>
<p>Coronavirus Disease</p>
</def>
</def-item>
<def-item>
<term>CT</term>
<def>
<p>Computed Tomography</p>
</def>
</def-item>
<def-item>
<term>HA</term>
<def>
<p>Hemiarthroplasty</p>
</def>
</def-item>
<def-item>
<term>ICU</term>
<def>
<p>Intensive Care Unit</p>
</def>
</def-item>
<def-item>
<term>OR</term>
<def>
<p>Odds Ratio</p>
</def>
</def-item>
<def-item>
<term>PFNA</term>
<def>
<p>Proximal Femoral Nail Antirotation</p>
</def>
</def-item>
<def-item>
<term>SARS-CoV-2</term>
<def>
<p>Severe Acute Respiratory Syndrome Coronavirus</p>
</def>
</def-item>
<def-item>
<term>SD</term>
<def>
<p>Standard Deviation</p>
</def>
</def-item>
<def-item>
<term>THR</term>
<def>
<p>Total Hip Replacement</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>