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<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
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<issn pub-type="epub">2296-858X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1631585</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
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<title-group>
<article-title>The relationship between preoperative hypoalbuminemia and postoperative subsyndromal delirium in elderly hip fracture patients: a prospective study</article-title>
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<name><surname>Li</surname><given-names>Peipei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Zhang</surname><given-names>Zi Ruo</given-names></name>
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<name><surname>Chen</surname><given-names>Dan</given-names></name>
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<name><surname>Zhi</surname><given-names>Hong</given-names></name>
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<name><surname>Hu</surname><given-names>Jing</given-names></name>
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<name><surname>Xie</surname><given-names>Ping</given-names></name>
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<name><surname>Wen</surname><given-names>Lian</given-names></name>
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<name><surname>Yan</surname><given-names>Si Tong</given-names></name>
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<aff id="aff1"><label>1</label><institution>Sports Medicine Diagnosis and Treatment Center, Honghui Hospital, Xi&#x2019;an Jiaotong University, Xi&#x2019;an</institution>, <city>Shaanxi</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Foot and Ankle Orthopedic Diagnosis and Treatment Center, Honghui Hospital, Xi&#x2019;an Jiaotong University, Xi&#x2019;an</institution>, <city>Shaanxi</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Medicine, Yan&#x2019;an University, Yan&#x2019;an</institution>, <city>Shaanxi</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Nursing, Honghui Hospital, Xi&#x2019;an Jiaotong University, Xi&#x2019;an</institution>, <city>Shaanxi</city>, <country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Academic Development Department, Honghui Hospital, Xi&#x2019;an Jiaotong University, Xi&#x2019;an</institution>, <city>Shaanxi</city>, <country country="cn">China</country></aff>
<aff id="aff6"><label>6</label><institution>Department of Internal Medicine, Honghui Hospital, Xi&#x2019;an Jiaotong University, Xi&#x2019;an</institution>, <city>Shaanxi</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Hong Zhi, <email xlink:href="mailto:272512655@qq.com">272512655@qq.com</email>; Jing Hu, <email xlink:href="mailto:792033457@qq.com">792033457@qq.com</email></corresp>
<fn fn-type="equal" id="fn00021"><p><sup>&#x2020;</sup>These authors share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-19">
<day>19</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1631585</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>22</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Li, Zhang, Chen, Zhi, Hu, Xie, Wen and Yan.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li, Zhang, Chen, Zhi, Hu, Xie, Wen and Yan</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-19">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>Background</title>
<p>This study aimed to assess the prevalence of preoperative hypoalbuminemia in patients with hip fractures at Honghui Hospital, Xi&#x2019;an Jiaotong University, and to examine its associations with postoperative subsyndromal delirium (SSD) and postoperative discharge-status.</p>
</sec>
<sec>
<title>Methods</title>
<p>A prospective study was conducted at Honghui Hospital, Xi&#x2019;an Jiaotong University, involving patients who underwent hip fracture surgery between October 2023 and March 2024. Data on demographics, comorbidities, preoperative serum albumin levels, SSD occurrence, and postoperative discharge status were also collected. Hypoalbuminemia was defined as serum albumin levels below 35&#x202F;g/L.</p>
</sec>
<sec>
<title>Results</title>
<p>In total, 279 patients were included in the analysis. Hypoalbuminemia was observed in 60 patients (21.51%) and 114 patients (40.86%) exhibited postoperative SSD. Multivariate logistic regression analysis revealed that diabetes mellitus (OR&#x202F;=&#x202F;2.93, <italic>p</italic>&#x202F;=&#x202F;0.007), smoking (OR&#x202F;=&#x202F;4.30, <italic>p</italic>&#x202F;=&#x202F;0.033), and hypoalbuminemia (OR&#x202F;=&#x202F;6.13, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) were independently associated with an elevated risk of SSD. Furthermore, each one-point increase in MMSE score was independently associated with a 1.74 reduction in SSD risk (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). A threshold effect on the association between albumin levels and SSD was observed when serum albumin level was treated as a continuous variable (<italic>p</italic> for likelihood test&#x202F;=&#x202F;0.034). Among the 279 patients, 22 were admitted to the ICU; however, further statistical analysis was not conducted for the five patients with hypoalbuminemia who were admitted to the ICU due to low ICU occupancy.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our study identified a 21.51% prevalence of preoperative hypoalbuminemia in elderly patients undergoing hip fracture surgery, which independently contributed to an increased risk of postoperative SSD. We recommend implementing preoperative interventions to correct hypoalbuminemia.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hip fracture</kwd>
<kwd>albumin levels</kwd>
<kwd>hypoalbuminemia</kwd>
<kwd>SSD</kwd>
<kwd>elderly people</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. This study has received support Shaanxi Nursing Association for their financial and sponsorship of this research project, under the grant number SH25002.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="10"/>
<word-count count="6114"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Geriatric Medicine</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>According to statistics, the annual number of new cases of hip fracture in China exceeds 1 million, and it is on the rise, with a high incidence in the elderly, especially those over 65&#x202F;years of age, accounting for approximately 95% of the total number (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Surgery is the primary treatment for hip fractures in the elderly (<xref ref-type="bibr" rid="ref3">3</xref>). Malnutrition is prevalent in older people with hip fractures and reduces their ability to recover from injuries (<xref ref-type="bibr" rid="ref4">4</xref>). Markers of malnutrition was low serum albumin and has been found to affect hip fracture outcomes. Bohl et al. (<xref ref-type="bibr" rid="ref5">5</xref>) study reported that the prevalence of hypoalbuminemia was 45.9% in elderly patients undergoing hip fracture surgery. At the same time, some studies have found that preoperative hypoproteinemia not only significantly affects the immune function and anti-infection ability of patients, but also increases the risk of postoperative complications, including confusion, mortality and prolonged hospital (<xref ref-type="bibr" rid="ref6 ref7 ref8 ref9">6&#x2013;9</xref>). In clinical practice, hypoalbuminemia has a serious impact on patients&#x2019; quality of life and treatment effects; therefore, in-depth studies are of great clinical significance.</p>
<p>Subsyndromal Delirium (SSD) is characterized by a sudden onset condition affecting attention and consciousness, presenting with one or more core symptoms of delirium but does not meet the criteria for full-blown delirium (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). Hospitalized older patients frequently exhibit signs of acute cognitive decline and attentional impairment, and are ultimately diagnosed with delirium (<xref ref-type="bibr" rid="ref11">11</xref>). Research indicates that up to 50% of individuals with hip fractures experience episodes of delirium during hospitalized (<xref ref-type="bibr" rid="ref12">12</xref>). Additionally, certain investigations have revealed that hypoalbuminemia can predict postoperative complications, such as infections, increased mortality rates, and longer hospital stays (<xref ref-type="bibr" rid="ref13">13</xref>). Hypoalbuminemia is an indicator of malnutrition, reflecting the poor physical condition of patients (<xref ref-type="bibr" rid="ref14">14</xref>). Hypoalbuminemia is also known to be a risk factor for delirium (<xref ref-type="bibr" rid="ref15">15</xref>). Nevertheless, studies specifically addressing the influence of low albumin levels on the incidence of subsyndromal delirium following hip fractures in older adults are lacking. Consequently, this research aimed to explore potential risk factors contributing to postoperative subsyndromal delirium in elderly patients with hip fractures and to examine whether low albumin levels are associated with postoperative subsyndromal delirium as well as patient outcomes after surgery.</p>
</sec>
<sec sec-type="methods" id="sec2">
<title>Methods</title>
<p>Hospital Ethics Review Board approval was obtained prior to the start of the study (approval number: 202410002). We collected the clinical data of 342 patients who underwent hip fracture between October 2023 and March 2024 at Honghui Hospital, Xi&#x2019;an Jiaotong University, including patient demographics and preoperative comorbidities such as age, sex, body mass index (BMI), smoking, hemoglobin (Hb) level, hypertension, history of previous cerebrovascular accidents (CVAs), Coronary Heart Disease (CHD), diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), preoperative creatinine level, preoperative serum albumin level, type of fracture, Mini-Mental State Examination (MMSE) score (<xref ref-type="bibr" rid="ref16">16</xref>), American Society of Anesthesiologist Physical Status (ASA-PS) score (<xref ref-type="bibr" rid="ref17">17</xref>), details of the operation such as duration of operation, type of anesthesia, type of operation, depth of anesthesia, and intraoperative blood transfusion (<xref ref-type="bibr" rid="ref18">18</xref>); postoperative data included the Numeric Rating Scale (NRS) (<xref ref-type="bibr" rid="ref19">19</xref>), and length of hospital stay (LOS). We defined the window for preoperative serum albumin levels to be taken at admission and a minimum of 1&#x202F;day before the surgery. We also defined serum albumin levels below 35&#x202F;g/L as hypoalbuminemia.</p>
<p>The primary outcome was SSD, and the secondary outcomes were postoperative destination, in-hospital ward, or ICU. We used the confusion assessment method (CAM) (<xref ref-type="bibr" rid="ref20">20</xref>) to collect subsyndromal delirium, which involves four core symptoms (<xref ref-type="bibr" rid="ref21">21</xref>): &#x2460; acute changes in consciousness; &#x2461; attention deficits; &#x2462; disorganized thinking; &#x2463; changes in level of consciousness. If one or more of the four core symptoms of CAM are present and do not meet the diagnostic criteria for delirium, it indicates the presence of SSD; if all four core symptoms of CAM are present with characteristic &#x2460;, characteristic &#x2461; and characteristic &#x2462; (or characteristic &#x2463;), it indicates the presence of delirium. Before the study began, the evaluators studied the operation process and scoring criteria of the relevant scales in detail, and learned the operation guide manual of CAM evaluators to ensure the scientificity and reliability of the evaluation work. The CAM assessment was conducted by trained researchers using observation and face-to-face interviews to collect data. If the patient developed symptoms on days 1&#x2013;3 after surgery, two assessors evaluated the occurrence time, duration (in days), clinical presentation, and whether delirium progressed; if the subject was discharged after surgery, it was considered lost to follow-up; if the subject was transferred to another department after surgery, the investigator will continue to evaluate the subject in the transferred department; if the subject is transferred to the ICU after surgery, the investigator will enter the ICU and evaluate the subject using the same data collection method to reduce the subjective bias of evaluators and improve the objectivity and credibility of the research results. The evaluation of the outcome indicators was conducted by two rigorously trained assessors: the researcher (Assessor A) and another graduate student from the research group (Assessor B). The two assessors stood on opposite sides of the same subject and used a rotating questioning method for blind assessments. In case of disputes, they consulted a neurologist for the final determination, with the physician&#x2019;s final decision being the standard.</p>
<p>After excluding 38 patients younger than 65&#x202F;years, 6 patients with combined fractures in the other, 8 patients with more than three missing variables, and 11 patients who did not have preoperative serum albumin levels, we obtained 279 patients in the final analysis.</p>
<sec id="sec3">
<title>Statistical analysis</title>
<p>The collected variables were quality-checked, screened, and sorted, and a database was established using Excel. R4.3.3 software was used for data analysis, and numerical variables were expressed as mean&#x202F;&#x00B1;&#x202F;standard deviation and categorical variables as frequency and percentages. Data for continuous variables were normally distributed using an independent t-test; data for continuous variables were non-normally distributed using the rank sum test and chi-square test for categorical variables. Logistic regression was used for one-way analysis of each variable, and predictor variables were screened according to the criterion of <italic>p</italic>&#x202F;&#x2264;&#x202F;0.05. The factors resulting from screening were included in the multifactorial logistic regression analysis, and a regression model was used to observe the effect of hypoalbuminemia on postoperative subsyndromal delirium in elderly patients with hip fracture under different adjustment strategies. Finally, the serum albumin level was used as a continuous variable for serum albumin and SSD threshold analysis using R4.3.3.</p>
</sec>
</sec>
<sec sec-type="results" id="sec4">
<title>Results</title>
<sec id="sec5">
<title>Demographics</title>
<p>Of the 279 elderly patients who experienced hip fracture during the study period, 21.51% had hypoalbuminemia, 40.86% had SSD, and hypoalbuminemia 63.33% had SSD. As shown in <xref ref-type="table" rid="tab1">Table 1</xref>. Patients with hypoalbuminemia had lower mean Hb levels than those with normal albumin levels (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and lower preoperative creatinine levels (<italic>p</italic>&#x202F;=&#x202F;0.021). However, patients with hypoalbuminemia tended to have a higher male ASA-PS score (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), intraoperative blood transfusion (<italic>p</italic>&#x202F;=&#x202F;0.018), and incidence of SSD (<italic>p</italic> &#x003C; 0.001). There were no significant differences in the other variables between the two groups.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographics of patients with normal albumin (&#x2265;35&#x202F;g/L) versus those with hypoalbuminemia (&#x003C;35&#x202F;g/L) postoperative hip fracture in elderly.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Total (<italic>n</italic>&#x202F;=&#x202F;279)</th>
<th align="center" valign="top">Albumin &#x2265;35&#x202F;g/L <italic>n</italic>&#x202F;=&#x202F;219</th>
<th align="center" valign="top">Albumin &#x003C;35&#x202F;g/L <italic>n</italic>&#x202F;=&#x202F;60</th>
<th align="center" valign="top">Statistic</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age, Mean &#x00B1; SD</td>
<td align="center" valign="middle">75.55&#x202F;&#x00B1;&#x202F;8.01</td>
<td align="center" valign="middle">75.43&#x202F;&#x00B1;&#x202F;8.14</td>
<td align="center" valign="middle">75.97&#x202F;&#x00B1;&#x202F;7.58</td>
<td align="center" valign="middle"><italic>t</italic>&#x202F;=&#x202F;&#x2212;0.46</td>
<td align="center" valign="middle">0.649</td>
</tr>
<tr>
<td align="left" valign="middle">MMSE score, Mean &#x00B1; SD</td>
<td align="center" valign="middle">22.69&#x202F;&#x00B1;&#x202F;4.76</td>
<td align="center" valign="middle">22.97&#x202F;&#x00B1;&#x202F;4.69</td>
<td align="center" valign="middle">21.67&#x202F;&#x00B1;&#x202F;4.92</td>
<td align="center" valign="middle"><italic>t</italic>&#x202F;=&#x202F;1.89</td>
<td align="center" valign="middle">0.060</td>
</tr>
<tr>
<td align="left" valign="middle">LOS (d), Mean &#x00B1; SD</td>
<td align="center" valign="middle">9.42&#x202F;&#x00B1;&#x202F;4.34</td>
<td align="center" valign="middle">9.43&#x202F;&#x00B1;&#x202F;4.11</td>
<td align="center" valign="middle">9.37&#x202F;&#x00B1;&#x202F;5.13</td>
<td align="center" valign="middle"><italic>t</italic>&#x202F;=&#x202F;0.11</td>
<td align="center" valign="middle">0.916</td>
</tr>
<tr>
<td align="left" valign="middle">Hb (g/L), Mean &#x00B1; SD</td>
<td align="center" valign="middle">117.20&#x202F;&#x00B1;&#x202F;20.25</td>
<td align="center" valign="middle">120.66&#x202F;&#x00B1;&#x202F;19.55</td>
<td align="center" valign="middle">104.57&#x202F;&#x00B1;&#x202F;17.68</td>
<td align="center" valign="middle"><italic>t</italic>&#x202F;=&#x202F;5.76</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Creatinine (ummol/L), Mean &#x00B1; SD</td>
<td align="center" valign="middle">67.51&#x202F;&#x00B1;&#x202F;31.52</td>
<td align="center" valign="middle">69.76&#x202F;&#x00B1;&#x202F;33.95</td>
<td align="center" valign="middle">59.07&#x202F;&#x00B1;&#x202F;17.72</td>
<td align="center" valign="middle"><italic>t</italic>&#x202F;=&#x202F;2.31</td>
<td align="center" valign="middle">0.021</td>
</tr>
<tr>
<td align="left" valign="middle">BMI (kg/m<sup>2</sup>), Mean &#x00B1; SD</td>
<td align="center" valign="middle">22.24&#x202F;&#x00B1;&#x202F;3.46</td>
<td align="center" valign="middle">22.26&#x202F;&#x00B1;&#x202F;3.52</td>
<td align="center" valign="middle">22.18&#x202F;&#x00B1;&#x202F;3.27</td>
<td align="center" valign="middle"><italic>t</italic>&#x202F;=&#x202F;0.15</td>
<td align="center" valign="middle">0.881</td>
</tr>
<tr>
<td align="left" valign="middle">Duration of operation (min), Mean &#x00B1; SD</td>
<td align="center" valign="middle">110.73&#x202F;&#x00B1;&#x202F;49.60</td>
<td align="center" valign="middle">109.59&#x202F;&#x00B1;&#x202F;45.69</td>
<td align="center" valign="middle">114.90&#x202F;&#x00B1;&#x202F;62.12</td>
<td align="center" valign="middle"><italic>t</italic>&#x202F;=&#x202F;&#x2212;0.62</td>
<td align="center" valign="middle">0.538</td>
</tr>
<tr>
<td align="left" valign="middle">NRS score, M (Q&#x2081;, Q&#x2083;)</td>
<td align="center" valign="middle">2.00 (1.00, 3.00)</td>
<td align="center" valign="middle">2.00 (1.00, 3.00)</td>
<td align="center" valign="middle">2.00 (1.00, 4.00)</td>
<td align="center" valign="middle"><italic>Z</italic>&#x202F;=&#x202F;&#x2013;0.74</td>
<td align="center" valign="middle">0.458</td>
</tr>
<tr>
<td align="left" valign="middle">Depth of anesthesia, M (Q&#x2081;, Q&#x2083;)</td>
<td align="center" valign="middle">22.00 (21.00, 22.00)</td>
<td align="center" valign="middle">22.00 (21.00, 22.50)</td>
<td align="center" valign="middle">22.00 (22.00, 22.00)</td>
<td align="center" valign="middle"><italic>Z</italic>&#x202F;=&#x202F;&#x2013;0.16</td>
<td align="center" valign="middle">0.875</td>
</tr>
<tr>
<td align="left" valign="middle">Sex, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;4.92</td>
<td align="center" valign="middle">0.027</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">114 (40.86)</td>
<td align="center" valign="middle">82 (37.44)</td>
<td align="center" valign="middle">32 (53.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">165 (59.14)</td>
<td align="center" valign="middle">137 (62.56)</td>
<td align="center" valign="middle">28 (46.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Type of fracture, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;1.67</td>
<td align="center" valign="middle">0.434</td>
</tr>
<tr>
<td align="left" valign="middle">Femoral neck fracture</td>
<td align="center" valign="middle">160 (57.35)</td>
<td align="center" valign="middle">126 (57.53)</td>
<td align="center" valign="middle">34 (56.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Intertrochanteric fracture</td>
<td align="center" valign="middle">101 (36.20)</td>
<td align="center" valign="middle">81 (36.99)</td>
<td align="center" valign="middle">20 (33.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Subtrochanteric fracture</td>
<td align="center" valign="middle">18 (6.45)</td>
<td align="center" valign="middle">12 (5.48)</td>
<td align="center" valign="middle">6 (10.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Hypertension, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;2.95</td>
<td align="center" valign="middle">0.086</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">140 (50.18)</td>
<td align="center" valign="middle">104 (47.49)</td>
<td align="center" valign="middle">36 (60.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">139 (49.82)</td>
<td align="center" valign="middle">115 (52.51)</td>
<td align="center" valign="middle">24 (40.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">CHD, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;0.08</td>
<td align="center" valign="middle">0.775</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">229 (82.08)</td>
<td align="center" valign="middle">179 (81.74)</td>
<td align="center" valign="middle">50 (83.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">50 (17.92)</td>
<td align="center" valign="middle">40 (18.26)</td>
<td align="center" valign="middle">10 (16.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">DM, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;2.67</td>
<td align="center" valign="middle">0.102</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">210 (75.27)</td>
<td align="center" valign="middle">160 (73.06)</td>
<td align="center" valign="middle">50 (83.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">69 (24.73)</td>
<td align="center" valign="middle">59 (26.94)</td>
<td align="center" valign="middle">10 (16.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">CVAs, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;0.68</td>
<td align="center" valign="middle">0.410</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">189 (67.74)</td>
<td align="center" valign="middle">151 (68.95)</td>
<td align="center" valign="middle">38 (63.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">90 (32.26)</td>
<td align="center" valign="middle">68 (31.05)</td>
<td align="center" valign="middle">22 (36.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">COPD, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;0.99</td>
<td align="center" valign="middle">0.320</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">265 (94.98)</td>
<td align="center" valign="middle">210 (95.89)</td>
<td align="center" valign="middle">55 (91.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">14 (5.02)</td>
<td align="center" valign="middle">9 (4.11)</td>
<td align="center" valign="middle">5 (8.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Smoking, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;2.03</td>
<td align="center" valign="middle">0.154</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">32 (11.47)</td>
<td align="center" valign="middle">22 (10.05)</td>
<td align="center" valign="middle">10 (16.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">247 (88.53)</td>
<td align="center" valign="middle">197 (89.95)</td>
<td align="center" valign="middle">50 (83.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Type of operation, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;0.37</td>
<td align="center" valign="middle">0.833</td>
</tr>
<tr>
<td align="left" valign="middle">THA and partial-hip replacement</td>
<td align="center" valign="middle">154 (55.20)</td>
<td align="center" valign="middle">122 (55.71)</td>
<td align="center" valign="middle">32 (53.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">ORIF</td>
<td align="center" valign="middle">12 (4.30)</td>
<td align="center" valign="middle">10 (4.57)</td>
<td align="center" valign="middle">2 (3.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Closed reduction and internal fixation</td>
<td align="center" valign="middle">113 (40.50)</td>
<td align="center" valign="middle">87 (39.73)</td>
<td align="center" valign="middle">26 (43.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">ASA-PS score, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">1</td>
<td align="center" valign="middle">4 (1.43)</td>
<td align="center" valign="middle">2 (0.91)</td>
<td align="center" valign="middle">2 (3.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="center" valign="middle">92 (32.97)</td>
<td align="center" valign="middle">82 (37.44)</td>
<td align="center" valign="middle">10 (16.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="center" valign="middle">181 (64.87)</td>
<td align="center" valign="middle">135 (61.64)</td>
<td align="center" valign="middle">46 (76.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">4</td>
<td align="center" valign="top">2 (0.72)</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">2 (3.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Type of anesthesia, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.107</td>
</tr>
<tr>
<td align="left" valign="top">GA</td>
<td align="center" valign="top">28 (10.04)</td>
<td align="center" valign="top">26 (11.87)</td>
<td align="center" valign="top">2 (3.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">RA</td>
<td align="center" valign="top">2 (0.72)</td>
<td align="center" valign="top">2 (0.91)</td>
<td align="center" valign="top">0 (0.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">GA&#x202F;+&#x202F;RA</td>
<td align="center" valign="top">249 (89.25)</td>
<td align="center" valign="top">191 (87.21)</td>
<td align="center" valign="top">58 (96.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Intraoperative blood transfusion, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;5.62</td>
<td align="center" valign="top">0.018</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">176 (63.08)</td>
<td align="center" valign="top">146 (66.67)</td>
<td align="center" valign="top">30 (50.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">103 (36.92)</td>
<td align="center" valign="top">73 (33.33)</td>
<td align="center" valign="top">30 (50.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">SSD, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;15.98</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">165 (59.14)</td>
<td align="center" valign="top">143 (65.30)</td>
<td align="center" valign="top">22 (36.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">114 (40.86)</td>
<td align="center" valign="top">76 (34.70)</td>
<td align="center" valign="top">38 (63.33)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>LOS, length of hospital stay; CHD, coronary heart disease; GA, general anesthesia; RA, regional anesthesia; DM, diabetes mellitus; CVAs, cerebrovascular accidents; COPD, chronic obstructive pulmonary disease; THA, Total Hip Arthroplasty; ORIF, Open reduction and internal fixation; ASA-PS, American Society of Anesthesiologists Physical Status.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec6">
<title>Results of the univariate logistic regression</title>
<p>Univariate logistic regression analysis was performed using SSD as the dependent variable. Based on the univariate analysis presented in <xref ref-type="table" rid="tab2">Table 2</xref>, the variables associated with an elevated risk of SSD included age (OR&#x202F;=&#x202F;1.06, <italic>p</italic> &#x003C;&#x202F;0.001), subtrochanteric fractures (OR&#x202F;=&#x202F;0.17, <italic>p</italic>&#x202F;=&#x202F;0.020), DM (OR&#x202F;=&#x202F;1.79, <italic>p</italic>&#x202F;=&#x202F;0.036), hypertension (OR&#x202F;=&#x202F;1.93, <italic>p</italic>&#x202F;=&#x202F;0.008), CVAs (OR&#x202F;=&#x202F;1.82, <italic>p</italic>&#x202F;=&#x202F;0.021), smoking (OR&#x202F;=&#x202F;3.34, <italic>p</italic>&#x202F;=&#x202F;0.010), and hypoalbuminemia (OR&#x202F;=&#x202F;3.25, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Additionally, the risk of developing SSD decreases as MMSE scores increase.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Variables that predict increased SSD postoperative hip fracture in elderly, based on univariate analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top"><italic>&#x03B2;</italic></th>
<th align="center" valign="top">S.E</th>
<th align="center" valign="top"><italic>Z</italic></th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">OR (95%CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="6">Sex</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">0.15</td>
<td align="center" valign="middle">0.25</td>
<td align="center" valign="middle">0.60</td>
<td align="center" valign="middle">0.550</td>
<td align="center" valign="middle">1.16 (0.71&#x2013;1.89)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Type of fracture</td>
</tr>
<tr>
<td align="left" valign="middle">Femoral neck fracture</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Intertrochanteric fracture</td>
<td align="center" valign="middle">0.03</td>
<td align="center" valign="middle">0.26</td>
<td align="center" valign="middle">0.10</td>
<td align="center" valign="middle">0.919</td>
<td align="center" valign="middle">1.03 (0.62&#x2013;1.70)</td>
</tr>
<tr>
<td align="left" valign="middle">Subtrochanteric fracture</td>
<td align="center" valign="middle">&#x2212;1.78</td>
<td align="center" valign="middle">0.77</td>
<td align="center" valign="middle">&#x2212;2.32</td>
<td align="center" valign="middle">0.020</td>
<td align="center" valign="middle">0.17 (0.04&#x2013;0.76)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">CHD</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">0.16</td>
<td align="center" valign="middle">0.32</td>
<td align="center" valign="middle">0.52</td>
<td align="center" valign="middle">0.602</td>
<td align="center" valign="middle">1.18 (0.64&#x2013;2.19)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">DM</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">0.58</td>
<td align="center" valign="middle">0.28</td>
<td align="center" valign="middle">2.09</td>
<td align="center" valign="middle">0.036</td>
<td align="center" valign="middle">1.79 (1.04&#x2013;3.09)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Hypertension</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">0.66</td>
<td align="center" valign="middle">0.25</td>
<td align="center" valign="middle">2.66</td>
<td align="center" valign="middle">0.008</td>
<td align="center" valign="middle">1.93 (1.19&#x2013;3.13)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">CVAs</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">0.60</td>
<td align="center" valign="middle">0.26</td>
<td align="center" valign="middle">2.31</td>
<td align="center" valign="middle">0.021</td>
<td align="center" valign="middle">1.82 (1.10&#x2013;3.02)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">COPD</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">1.02</td>
<td align="center" valign="middle">0.57</td>
<td align="center" valign="middle">1.78</td>
<td align="center" valign="middle">0.076</td>
<td align="center" valign="middle">2.76 (0.90&#x2013;8.46)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Smoking</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">1.21</td>
<td align="center" valign="middle">0.47</td>
<td align="center" valign="middle">2.56</td>
<td align="center" valign="middle">0.010</td>
<td align="center" valign="middle">3.34 (1.33&#x2013;8.41)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Type of operation</td>
</tr>
<tr>
<td align="left" valign="middle">THA and partial-hip replacement</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">ORIF</td>
<td align="center" valign="middle">&#x2212;1.43</td>
<td align="center" valign="middle">0.79</td>
<td align="center" valign="middle">&#x2212;1.80</td>
<td align="center" valign="middle">0.071</td>
<td align="center" valign="middle">0.24 (0.05&#x2013;1.13)</td>
</tr>
<tr>
<td align="left" valign="middle">Closed reduction and internal fixation</td>
<td align="center" valign="middle">&#x2212;0.36</td>
<td align="center" valign="middle">0.25</td>
<td align="center" valign="middle">&#x2212;1.41</td>
<td align="center" valign="middle">0.158</td>
<td align="center" valign="middle">0.70 (0.43&#x2013;1.15)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">ASA-PS score</td>
</tr>
<tr>
<td align="left" valign="middle">1</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">/</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="center" valign="middle">15.29</td>
<td align="center" valign="middle">1,199.77</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">0.990</td>
<td align="center" valign="middle">/</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="center" valign="middle">16.63</td>
<td align="center" valign="middle">1,199.77</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">0.989</td>
<td align="center" valign="middle">/</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="center" valign="middle">0.00</td>
<td align="center" valign="middle">2,078.07</td>
<td align="center" valign="middle">0.00</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">/</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Type of anesthesia</td>
</tr>
<tr>
<td align="left" valign="middle">GA</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">RA</td>
<td align="center" valign="middle">&#x2212;14.28</td>
<td align="center" valign="middle">624.19</td>
<td align="center" valign="middle">&#x2212;0.02</td>
<td align="center" valign="middle">0.982</td>
<td align="center" valign="middle">0.00 (0.00&#x2013;Inf)</td>
</tr>
<tr>
<td align="left" valign="middle">GA&#x202F;+&#x202F;RA</td>
<td align="center" valign="middle">&#x2212;0.08</td>
<td align="center" valign="middle">0.40</td>
<td align="center" valign="middle">&#x2212;0.21</td>
<td align="center" valign="middle">0.834</td>
<td align="center" valign="middle">0.92 (0.42&#x2013;2.02)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Intraoperative blood transfusion</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">0.23</td>
<td align="center" valign="middle">0.25</td>
<td align="center" valign="middle">0.92</td>
<td align="center" valign="middle">0.358</td>
<td align="center" valign="middle">1.26 (0.77&#x2013;2.06)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Hypoalbuminemia</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">1.18</td>
<td align="center" valign="middle">0.30</td>
<td align="center" valign="middle">3.89</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">3.25 (1.79&#x2013;5.89)</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="center" valign="middle">0.06</td>
<td align="center" valign="middle">0.02</td>
<td align="center" valign="middle">3.58</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">1.06 (1.03&#x2013;1.09)</td>
</tr>
<tr>
<td align="left" valign="middle">MMSE score</td>
<td align="center" valign="middle">&#x2212;0.30</td>
<td align="center" valign="middle">0.04</td>
<td align="center" valign="middle">&#x2212;7.95</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.74 (0.69&#x2013;0.80)</td>
</tr>
<tr>
<td align="left" valign="middle">Hb</td>
<td align="center" valign="middle">&#x2212;0.01</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">&#x2212;1.26</td>
<td align="center" valign="middle">0.207</td>
<td align="center" valign="middle">0.99 (0.98&#x2013;1.00)</td>
</tr>
<tr>
<td align="left" valign="middle">Creatinine</td>
<td align="center" valign="middle">&#x2212;0.00</td>
<td align="center" valign="middle">0.00</td>
<td align="center" valign="middle">&#x2212;0.20</td>
<td align="center" valign="middle">0.838</td>
<td align="center" valign="middle">1.00 (0.99&#x2013;1.01)</td>
</tr>
<tr>
<td align="left" valign="middle">BMI</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">0.04</td>
<td align="center" valign="middle">0.37</td>
<td align="center" valign="middle">0.708</td>
<td align="center" valign="middle">1.01 (0.95&#x2013;1.09)</td>
</tr>
<tr>
<td align="left" valign="middle">NRS score</td>
<td align="center" valign="middle">&#x2212;0.05</td>
<td align="center" valign="middle">0.10</td>
<td align="center" valign="middle">&#x2212;0.51</td>
<td align="center" valign="middle">0.610</td>
<td align="center" valign="middle">0.95 (0.78&#x2013;1.15)</td>
</tr>
<tr>
<td align="left" valign="middle">Depth of anesthesia</td>
<td align="center" valign="middle">&#x2212;0.22</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">&#x2212;1.88</td>
<td align="center" valign="middle">0.060</td>
<td align="center" valign="middle">0.81 (0.64&#x2013;1.01)</td>
</tr>
<tr>
<td align="left" valign="middle">Duration of operation</td>
<td align="center" valign="middle">&#x2212;0.00</td>
<td align="center" valign="middle">0.00</td>
<td align="center" valign="middle">&#x2212;1.33</td>
<td align="center" valign="middle">0.184</td>
<td align="center" valign="middle">1.00 (0.99&#x2013;1.00)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec7">
<title>Results of the multivariate logistic regression</title>
<p>This study employed a single-factor strategy for variable selection, incorporating variables from <xref ref-type="table" rid="tab2">Table 2</xref> that demonstrated statistical significance (<italic>p</italic> &#x003C;&#x202F;0.05) in univariate analysis into the multivariate regression analysis. Based on the multivariate analysis presented in <xref ref-type="table" rid="tab3">Table 3</xref>, the variables associated with an independent elevated risk of SSD included DM (OR&#x202F;=&#x202F;2.93, <italic>p</italic>&#x202F;=&#x202F;0.007), smoking (OR&#x202F;=&#x202F;4.30, <italic>p</italic>&#x202F;=&#x202F;0.033), and hypoalbuminemia (OR&#x202F;=&#x202F;6.13, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Each one-point increase in MMSE score was associated with a 26% reduction in the odds of SSD (OR&#x202F;=&#x202F;0.74, <italic>p</italic> &#x003C;&#x202F;0.001).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Variables that predict increased SSD postoperative hip fracture in elderly, based on multivariate analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top"><italic>&#x03B2;</italic></th>
<th align="center" valign="top">S.E</th>
<th align="center" valign="top"><italic>Z</italic></th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">OR (95%CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Intercept</td>
<td align="center" valign="middle">3.01</td>
<td align="center" valign="middle">2.27</td>
<td align="center" valign="middle">1.33</td>
<td align="center" valign="middle">0.185</td>
<td align="center" valign="middle">20.35 (0.24&#x2013;1,745.24)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Type of fracture</td>
</tr>
<tr>
<td align="left" valign="middle">Femoral neck fracture</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Intertrochanteric fracture</td>
<td align="center" valign="middle">0.32</td>
<td align="center" valign="middle">0.34</td>
<td align="center" valign="middle">0.96</td>
<td align="center" valign="middle">0.335</td>
<td align="center" valign="middle">1.38 (0.72&#x2013;2.67)</td>
</tr>
<tr>
<td align="left" valign="middle">Subtrochanteric fracture</td>
<td align="center" valign="middle">&#x2212;1.23</td>
<td align="center" valign="middle">0.86</td>
<td align="center" valign="middle">&#x2212;1.43</td>
<td align="center" valign="middle">0.153</td>
<td align="center" valign="middle">0.29 (0.05&#x2013;1.58)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">DM</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">1.08</td>
<td align="center" valign="middle">0.40</td>
<td align="center" valign="middle">2.68</td>
<td align="center" valign="middle">0.007</td>
<td align="center" valign="middle">2.93 (1.34&#x2013;6.44)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Hypertension</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">0.49</td>
<td align="center" valign="middle">0.34</td>
<td align="center" valign="middle">1.46</td>
<td align="center" valign="middle">0.145</td>
<td align="center" valign="middle">1.64 (0.84&#x2013;3.19)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">CVAs</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">0.11</td>
<td align="center" valign="middle">0.35</td>
<td align="center" valign="middle">0.32</td>
<td align="center" valign="middle">0.747</td>
<td align="center" valign="middle">1.12 (0.56&#x2013;2.23)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Smoking</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">1.46</td>
<td align="center" valign="middle">0.69</td>
<td align="center" valign="middle">2.13</td>
<td align="center" valign="middle">0.033</td>
<td align="center" valign="middle">4.30 (1.12&#x2013;16.49)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Hypoalbuminemia</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Reference</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">1.81</td>
<td align="center" valign="middle">0.42</td>
<td align="center" valign="middle">4.28</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">6.13 (2.67&#x2013;14.05)</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">0.02</td>
<td align="center" valign="middle">0.54</td>
<td align="center" valign="middle">0.590</td>
<td align="center" valign="middle">1.01 (0.97&#x2013;1.06)</td>
</tr>
<tr>
<td align="left" valign="middle">MMSE score</td>
<td align="center" valign="middle">&#x2212;0.29</td>
<td align="center" valign="middle">0.04</td>
<td align="center" valign="middle">&#x2212;6.63</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.74 (0.68&#x2013;0.81)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the subgroup analysis stratified by sex (<xref ref-type="table" rid="tab4">Table 4</xref>), males (<italic>n</italic>&#x202F;=&#x202F;114) showed a moderate association (OR&#x202F;=&#x202F;2.77, 95% CI: 1.20&#x2013;6.41, <italic>p</italic>&#x202F;=&#x202F;0.017), while females (<italic>n</italic>&#x202F;=&#x202F;166) demonstrated a stronger association (OR&#x202F;=&#x202F;4.35, 95% CI: 1.79&#x2013;10.60, <italic>p</italic>&#x202F;=&#x202F;0.001). However, the interaction effect between sex and albumin levels was not statistically significant (<italic>p</italic> for interaction&#x202F;=&#x202F;0.469), indicating that sex did not significantly modify the observed association.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Subgroup analysis based on sex.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top"><italic>n</italic> (%)</th>
<th align="center" valign="top">Albumin &#x2265;35&#x202F;g/L</th>
<th align="center" valign="top">Albumin &#x003C;35&#x202F;g/L</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top"><italic>p</italic> for interaction</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">All patients</td>
<td align="center" valign="middle">279 (100.00)</td>
<td align="center" valign="middle">76/219</td>
<td align="center" valign="middle">38/60</td>
<td align="center" valign="middle">3.25 (1.79&#x2013;5.89)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Sex</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.469</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">114 (40.71)</td>
<td align="center" valign="middle">26/82</td>
<td align="center" valign="middle">18/32</td>
<td align="center" valign="middle">2.77 (1.20&#x2013;6.41)</td>
<td align="center" valign="middle">0.017</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">166 (59.29)</td>
<td align="center" valign="middle">50/137</td>
<td align="center" valign="middle">20/28</td>
<td align="center" valign="middle">4.35 (1.79&#x2013;10.60)</td>
<td align="center" valign="middle">0.001</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec8">
<title>Albumin and SSD threshold analysis results</title>
<p>As shown in <xref ref-type="table" rid="tab5">Table 5</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref>, there is a threshold effect for the association of albumin and SSD (<italic>p</italic> for likelihood test&#x202F;=&#x202F;0.034); in general, albumin and SSD were negatively associated [OR (95%CI): 0.89 (0.83&#x2013;0.95), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001], when the albumin is below 38.4&#x202F;g/L, albumin and SSD were negatively associated [OR (95%CI): 0.78 (0.69&#x2013;0.90), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001]; when the albumin level was above 38.4&#x202F;g/L, no association of albumin and SSD was found; at the same time, I also adjusted for sex, age, intraoperative blood transfusion, and Hb, and the results showed that there is a threshold effect for the association of albumin and SSD (<italic>p</italic> for likelihood test&#x202F;=&#x202F;0.025), albumin, and SSD were negatively associated [OR (95%CI): 0.87 (0.80&#x2013;0.94), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001], <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Threshold analysis results.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Outcome</th>
<th align="center" valign="top">Effect</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Model 1 Fitting model by standard linear regression</td>
<td align="center" valign="middle">0.89 (0.83&#x2013;0.95)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Model 2 Fitting model by two-piecewise linear regression</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Inflection point</td>
<td align="center" valign="middle">38.4</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;38.4</td>
<td align="center" valign="middle">0.78 (0.69&#x2013;0.90)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;38.4</td>
<td align="center" valign="middle">1.03 (0.87&#x2013;1.22)</td>
<td align="center" valign="middle">0.713</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>p</italic> for likelihood test</td>
<td/>
<td align="center" valign="middle">0.034</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Albumin and SSD threshold analysis.</p>
</caption>
<graphic xlink:href="fmed-12-1631585-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A graph displaying a relationship between albumin (x-axis) and SSD (y-axis). A red dashed line indicates a downward trend, with shaded red areas representing confidence intervals, which narrow as albumin values increase.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Albumin and SSD threshold analysis after adjustment for covariates.</p>
</caption>
<graphic xlink:href="fmed-12-1631585-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A line graph showing the relationship between albumin (x-axis, 25 to 45) and SSD (y-axis, negative 2 to 6). A red dashed line trends downward, with a wide shaded red confidence interval that narrows and then slightly widens again.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec9">
<title>Postoperative destination</title>
<p>A total of 22 patients went to the ICU among the 279 patients (<xref ref-type="table" rid="tab6">Table 6</xref>). Five patients with hypoalbuminemia were admitted to the ICU, and no further statistical analysis was performed owing to the low ICU occupancy rate.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Postoperative destination of hip fracture in elderly.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Total <italic>n</italic>&#x202F;=&#x202F;279</th>
<th align="center" valign="top">Albumin &#x2265;35&#x202F;g/L <italic>n</italic>&#x202F;=&#x202F;219</th>
<th align="center" valign="top">Albumin &#x003C;35&#x202F;g/L <italic>n</italic>&#x202F;=&#x202F;60</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="4">Postoperative destination, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">In-hospital ward</td>
<td align="center" valign="middle">257 (92.11)</td>
<td align="center" valign="middle">202 (92.24)</td>
<td align="center" valign="middle">55 (91.67)</td>
</tr>
<tr>
<td align="left" valign="middle">ICU</td>
<td align="center" valign="middle">22 (7.89)</td>
<td align="center" valign="middle">17 (7.76)</td>
<td align="center" valign="middle">5 (8.33)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec10">
<title>Discussion</title>
<p>Our study found that the incidence of preoperative hypoalbuminemia in elderly patients undergoing hip fracture surgery was 21.51%, whereas the incidence of SSD in patients with hypoalbuminemia was 63.33%. Although the classical definition of hypoalbuminemia is &#x003C;30&#x202F;g/L, some studies have reported that serum total protein is &#x003C;60&#x202F;g/L or albumin is &#x003C;35&#x202F;g/L as hypoalbuminemia, because even mild hypoalbuminemia affects the outcome of patients (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). The criterion for hypoalbuminemia in this study was an albumin level of &#x003C;35&#x202F;g/L. The incidence of preoperative hypoalbuminemia is not low, with an incidence of 14&#x2013;20.7% (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). Our study showed a higher incidence of hypoalbuminemia than that reported in the literature. The first studied population was older and often had a certain degree of digestive and absorption function, insufficient intake of protein and other nutrients, and limited absorption, resulting in varying degrees of preoperative malnutrition (<xref ref-type="bibr" rid="ref26">26</xref>). Second, hip fractures in the elderly are mostly osteoporotic fractures, and recent studies have found a correlation between hypoalbuminemia and osteoporosis and fracture, which may affect bone metabolism in various ways, resulting in decreased bone mass, decreased bone density, and osteoporosis (<xref ref-type="bibr" rid="ref27">27</xref>). Afshinnia and Pennathur (<xref ref-type="bibr" rid="ref28">28</xref>) found that the incidence of osteoporosis in the femoral neck in patients with hypoalbuminemia was significantly higher than that in those with normal albumin, and the difference was statistically significant; therefore, hypoalbuminemia should be actively corrected to reduce the occurrence of related osteoporosis, reduce muscle strength reduction, and prevent the occurrence of osteoporotic fractures the same time. Most studies have reported a significant relationship between hypoalbuminemia and poor patient prognosis (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>), the incidence of SSD in hypoalbuminemia has rarely been reported.</p>
<p>Our study found that subjects with hypertension had a higher risk of developing SSD compared to healthy subjects (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Hypoalbuminemia was an independent influencing factor affecting postoperative SSD in elderly patients with hip fracture, consistent with previous studies that showed that the preoperative risk of malnutrition and malnutrition status increased the risk of postoperative delirium (<xref ref-type="bibr" rid="ref31">31</xref>). Albumin is an important indicator of the nutritional status of the body and plays an important role in the overall function of the body (<xref ref-type="bibr" rid="ref32">32</xref>). The relationship between nutritional status and rehabilitation after fracture has been reported in some studies, including hip function after hip fracture (<xref ref-type="bibr" rid="ref7">7</xref>) and the risk of postoperative SSD (<xref ref-type="bibr" rid="ref33">33</xref>). Therefore, comprehensive nutritional assessment should be conducted in elderly patients with hip fracture, focusing attention on patients with albumin below 35&#x202F;g/L, and preoperative albumin as a key measurement index to accurately assess the risk of postoperative SSD.</p>
<p>Our study also found that individuals with diabetes had a higher risk of SSD than those without diabetes (<italic>p</italic> =&#x202F;0.007). Consistent with the results of a study by Kalyan et al., elderly patients with diabetes and other complications were more likely to develop SSD (<xref ref-type="bibr" rid="ref34">34</xref>). In the study, smokers were found to have a higher risk of developing SSD (<italic>p</italic> =&#x202F;0.033). However, there have been few studies addressing the link between smoking and SSD. Moreover, each one-point increase in MMSE score was associated with a 26% reduction in the odds of SSD. Consistent with the findings of Denny and Such (<xref ref-type="bibr" rid="ref35">35</xref>), MMSE is an independent risk factor for postoperative SSD in older adults, highlighting preoperative diabetes and poor preoperative cognitive function as risk factors for high risk of SSD, thus using screening for diabetes and cognitive function assessment as a routine preoperative examination item for patients with hip fracture over 65&#x202F;years of age.</p>
<p>Our results showed a threshold effect on the association of albumin and SSD (<italic>p</italic> for likelihood test&#x202F;=&#x202F;0.034), and when albumin&#x003C;38.4&#x202F;g/L, the decrease in SSD threshold after increased albumin levels was statistically significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). However, at albumin&#x2265;38.4&#x202F;g/L, no association of albumin and SSD was found. The results of the study by Lu et al. (<xref ref-type="bibr" rid="ref36">36</xref>) showed that Preoperative albumin were associated with postoperative delirium, potentially aiding in identifying high-risk patients and playing a key role in preventing POD. The study was shown by Wang et al. (<xref ref-type="bibr" rid="ref37">37</xref>) treating preoperative serum albumin level as a continuous variable, the risk of postoperative (POD) delirium increased by 11% (95%CI, 1.08&#x2013;1.15) with each 1&#x202F;g/L decrease in preoperative serum albumin level. It was also found that maintaining preoperative serum albumin levels above 38&#x202F;g/L may lead to a more favorable outcome. Probably because, in the central nervous system, low serum albumin levels appear to be insufficient in fully exerting their antioxidant effects and capturing free radicals (<xref ref-type="bibr" rid="ref38 ref39 ref40">38&#x2013;40</xref>). Normal serum albumin levels can provide essential amino acids to the cell and immune system, thereby optimizing the composition ratio between albumin and other inflammatory factors to enhance the body&#x2019;s immune response capabilities (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). Furthermore, the evaluation of preoperative serum albumin levels could facilitate early identification of high-risk SSD. Therefore, the aim of our study was to encourage clinical healthcare professionals to re-emphasize monitoring and management of preoperative serum albumin levels in elderly patients with hip fractures.</p>
<p>One of the aims of our study was to identify the risk factors for postoperative destination in our study population. However, out of 279 patients, a total of 22 patients went to the ICU, and 5 of patients with hypoproteinemia went to the ICU with low ICU occupancy without further statistical analysis.</p>
<sec id="sec11">
<title>Strengths of study</title>
<p>We focused our study on elderly patients who underwent hip fracture, which is more commonly performed in the literature, as we wanted a more homogenous study population. The outcome of our study focused on the occurrence of SSD rather than delirium, and the identification of SSD helped improve the vigilance of the prestate of medical staff and reduce missed diagnoses and misdiagnoses due to inconspicuous symptoms.</p>
</sec>
<sec id="sec12">
<title>Study limitations</title>
<p>This study was limited by its single-center design, potentially impacting the sample size and population homogeneity, which could introduce selection bias during data analysis. Additionally, the rapid changes in hypoalbuminemia over a short period may pose challenges in clinical application, potentially diminishing the significance of hypoalbuminemia as a modifiable risk factor. Moreover, SSD is a multifaceted condition that cannot be solely attributed to a single risk factor, necessitating a comprehensive management approach to effectively mitigate SSD occurrence. At the same time, CAM features may overestimate the incidence of SSD. In later studies, we may use more detailed criteria. Finally, due to limitations in human and material resources, we only analyzed the relationship between preoperative albumin levels and SSD. We did not further examine the relationship between postoperative albumin levels and SSD. Further investigation is needed in the future.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec13">
<title>Conclusion</title>
<p>In conclusion, our study revealed a 21.51% prevalence of preoperative hypoalbuminemia among elderly patients undergoing hip fracture surgery at our institution, establishing it as an independent risk factor for postoperative SSD. We advocate for preoperative interventions to address hypoalbuminemia.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec14">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec15">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Hospital Ethics Review Board approval was obtained prior to the start of the study (approval number: 202410002). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>PL: Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft. ZZ: Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft. DC: Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft. HZ: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x2013; review &#x0026; editing. JH: Funding acquisition, Resources, Supervision, Writing &#x2013; review &#x0026; editing. PX: Software, Validation, Writing &#x2013; original draft. LW: Investigation, Visualization, Writing &#x2013; original draft. SY: Project administration, Software, Supervision, Visualization, Writing &#x2013; original draft.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank Hua Lin, Zijun Li, and Jing Hu for helpful discussions on topics related to this work.</p>
</ack>
<sec sec-type="COI-statement" id="sec17">
<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 sec-type="ai-statement" id="sec18">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was 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="sec19">
<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="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/705930/overview">Yang Wo</ext-link>, Qingdao University, China</p>
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<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/335141/overview">Cristiano Capurso</ext-link>, University of Foggia, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3081020/overview">Zhongcheng An</ext-link>, Zhejiang Chinese Medical University, China</p>
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