<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Aging</journal-id><journal-id journal-id-type="publisher-id">aging</journal-id><journal-id journal-id-type="index">31</journal-id><journal-title>JMIR Aging</journal-title><abbrev-journal-title>JMIR Aging</abbrev-journal-title><issn pub-type="epub">2561-7605</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v8i1e67177</article-id><article-id pub-id-type="doi">10.2196/67177</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Intraoperative Hypotension and Major Adverse Cardiac Events Among Older Adult Patients Undergoing Noncardiac Surgery: Retrospective Cohort Study</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Zhang</surname><given-names>Kai</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Liu</surname><given-names>Chang</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Wang</surname><given-names>Meng</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff4">4</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zhang</surname><given-names>Ting</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Meng</surname><given-names>Bingbing</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Yao</surname><given-names>Siyi</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Lou</surname><given-names>Jingsheng</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Fu</surname><given-names>Qiang</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Liu</surname><given-names>Yanhong</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Cao</surname><given-names>Jiangbei</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Bo</surname><given-names>Lulong</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="aff4">4</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Mi</surname><given-names>Weidong</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff5">5</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author" corresp="yes" equal-contrib="yes"><name name-style="western"><surname>Li</surname><given-names>Hao</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff5">5</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib></contrib-group><aff id="aff1"><institution>Department of Anesthesiology, The First Medical Center, Chinese People&#x2019;s Liberation Army General Hospital</institution><addr-line>28th Fuxing Road, Haidian District</addr-line><addr-line>Beijing</addr-line><country>China</country></aff><aff id="aff2"><institution>Medical School of Chinese People&#x2019;s Liberation Army General Hospital</institution><addr-line>Beijing</addr-line><country>China</country></aff><aff id="aff3"><institution>School of Medicine, Nankai University</institution><addr-line>Tianjin</addr-line><country>China</country></aff><aff id="aff4"><institution>Department of Anesthesiology, Changhai Hospital, Naval Medical University</institution><addr-line>Shanghai</addr-line><country>China</country></aff><aff id="aff5"><institution>National Clinical Research Center for Geriatric Diseases, Chinese People&#x2019;s Liberation Army General Hospital</institution><addr-line>Beijing</addr-line><country>China</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Mardini</surname><given-names>Mamoun</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Stokanovic</surname><given-names>Dragana</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Bhatt</surname><given-names>Keyur</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Pillai</surname><given-names>Parvathy Sudhir</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Hao Li, MD, PhD, Department of Anesthesiology, The First Medical Center, Chinese People&#x2019;s Liberation Army General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China, 86 15010665099; <email>lihao301@126.com</email></corresp><fn fn-type="equal" id="equal-contrib1"><label>*</label><p>these authors contributed equally</p></fn></author-notes><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>16</day><month>10</month><year>2025</year></pub-date><volume>8</volume><elocation-id>e67177</elocation-id><history><date date-type="received"><day>04</day><month>10</month><year>2024</year></date><date date-type="rev-recd"><day>24</day><month>06</month><year>2025</year></date><date date-type="accepted"><day>22</day><month>07</month><year>2025</year></date></history><copyright-statement>&#x00A9; Kai Zhang, Chang Liu, Meng Wang, Ting Zhang, Bingbing Meng, Siyi Yao, Jingsheng Lou, Qiang Fu, Yanhong Liu, Jiangbei Cao, Lulong Bo, Weidong Mi, Hao Li. Originally published in JMIR Aging (<ext-link ext-link-type="uri" xlink:href="https://aging.jmir.org">https://aging.jmir.org</ext-link>), 16.10.2025. </copyright-statement><copyright-year>2025</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://aging.jmir.org">https://aging.jmir.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://aging.jmir.org/2025/1/e67177"/><abstract><sec><title>Background</title><p>Intraoperative hypotension (IOH) is an important risk factor for major adverse cardiac events (MACE) in patients undergoing noncardiac surgery. However, the IOH threshold in older adult patients remains controversial.</p></sec><sec><title>Objective</title><p>This study aimed to explore an appropriate IOH threshold in older adult patients to decrease the risk of MACE.</p></sec><sec sec-type="methods"><title>Methods</title><p>This study involved older adult patients undergoing noncardiac surgery (age &#x2265;65 y) from January 2012 to August 2019 in the Chinese People&#x2019;s Liberation Army General Hospital (PLAGH; 35,262 patients) and Shanghai Changhai Hospital from January 2024 to December 2024 (13,418 patients). Univariate moving-average plots and multivariate restricted cubic splines were used to determine the IOH thresholds associated with an increased risk of MACE. The relationship between the IOH threshold and MACE was assessed using univariate and multivariate logistic regression analyses by 3 different hypotension exposure forms (duration, area, and time-weighted average mean arterial pressure [MAP]).</p></sec><sec sec-type="results"><title>Results</title><p>Out of 35,262 patients, 874 developed MACE in PLAGH, and 296 of 13,418 patients developed MACE in Changhai Hospital. In PLAGH, MAP below an absolute threshold of 70 mm Hg was associated with MACE. When the IOH absolute threshold was 70 mm Hg, the risk of MACE demonstrated a &#x201C;dose-increasing&#x201D; effect with changes in IOH exposure, and the risk of MACE was significantly increased when the duration lasted &#x003E;15 minutes (odds ratio 1.51, 95% CI 1.22-1.88; <italic>P</italic>&#x003C;.001). The stratified analysis showed that in patients younger than 80 years, when intraoperative MAP dropped below 70 mm Hg for more than 15 minutes, the odds ratio was 1.38 (95% CI 0.86&#x2010;2.28), <italic>P</italic>&#x003C;.01. In Changhai hospital, intraoperative MAP &#x003C;70 mm Hg was also significantly associated with MACE. Furthermore, IOH lasting longer than 15 minutes substantially increased the risk of MACE.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>For older adult patients undergoing noncardiac surgery, intraoperative MAP should be kept above 70 mm Hg to reduce the risk of postoperative MACE.</p></sec></abstract><kwd-group><kwd>intraoperative hypotension</kwd><kwd>major adverse cardiac events</kwd><kwd>geriatric patients</kwd><kwd>threshold</kwd><kwd>mean arterial pressure</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Each year, more than 300 million surgical procedures are conducted globally, with noncardiac surgeries accounting for 85% of the total [<xref ref-type="bibr" rid="ref1">1</xref>]. With the global rise in the aging population, there has been a corresponding increase in the number of older adult surgical patients, leading to a higher incidence of postoperative complications [<xref ref-type="bibr" rid="ref2">2</xref>]. Previous studies have suggested that major adverse cardiac events (MACE) occur in more than 2% of patients and are responsible for one-third of postoperative deaths [<xref ref-type="bibr" rid="ref3">3</xref>-<xref ref-type="bibr" rid="ref5">5</xref>]. Because of the decreased physiologic reserve and multiple coexisting diseases in older adult patients [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>], the risk of postoperative MACE in these patients is higher and needs more attention.</p><p>Intraoperative hypotension (IOH) is reportedly associated with postoperative cardiovascular complications and mortality in patients undergoing noncardiac surgery, and the association becomes magnified as the severity of hypotension increases [<xref ref-type="bibr" rid="ref7">7</xref>-<xref ref-type="bibr" rid="ref10">10</xref>]. With the continuous advancement of medical technology, recent years have witnessed the emergence of numerous intervention measures aimed at preventing IOH. One notable example is the intraoperative hypotension prediction index developed by Hatib et al [<xref ref-type="bibr" rid="ref11">11</xref>], which uses machine learning algorithms for its construction. Clinical studies have substantiated the efficacy of this index in reducing the incidence of IOH [<xref ref-type="bibr" rid="ref12">12</xref>-<xref ref-type="bibr" rid="ref14">14</xref>]. However, further research is warranted to ascertain whether its application can also lead to a reduction in postoperative complications. Concurrently, the majority of studies using the hypotension prediction index have established a hypotension threshold of 65 mm Hg of mean arterial pressure (MAP) [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>]. This threshold is largely derived from research conducted on adult patients. However, older adult patients exhibit reduced cardiopulmonary reserve capacity, diminished autonomic nervous system self-regulation, and a cardiovascular system that is often in a precarious state of equilibrium. Therefore, the applicability of this threshold to older adult patients remains a subject of debate. Establishing an accurate threshold for hypotension is crucial in optimizing older adult patient outcomes.</p><p>Therefore, this study was performed to explore the IOH threshold and its relationship with MACE in older adult patients undergoing noncardiac surgery.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study Population</title><p>Perioperative data for patients required in this study were obtained from the First Medical Center of Chinese People&#x2019;s Liberation Army General Hospital (PLAGH) and Shanghai Changhai Hospital, respectively. Perioperative data from the First Medical Center (January 2012 to August 2019) involved older adult surgical patients and were primarily used for exploring IOH thresholds associated with increased risk of MACE in this population. Data from Shanghai Changhai Hospital (January 2024 to December 2024) were specifically used for validating IOH thresholds in older adult surgical patients.</p></sec><sec id="s2-2"><title>Ethical Considerations</title><p>The Research Ethics Committee of the Chinese PLAGH approved this study (approval reference S2019-311-02). The requirement for informed consent was waived because this retrospective cohort study posed minimal risk to participants. The patients&#x2019; names and ID numbers were anonymized during data collection.</p></sec><sec id="s2-3"><title>Inclusion and Exclusion Criteria</title><p>Patients aged &#x2265;65 years, who were scheduled to undergo noncardiac surgery under anesthesia, were included in this study. The exclusion criteria were nongeneral anesthesia, American Society of Anesthesiologists (ASA) physical status classification of &#x003E;IV, hysteroscopic or body surface surgery [<xref ref-type="bibr" rid="ref15">15</xref>], surgery duration of &#x2264;30 minutes, incomplete clinical data, no intraoperative blood pressure values at 30-second intervals, and missing data on patient characteristics.</p></sec><sec id="s2-4"><title>Primary Outcomes</title><p>The primary outcome was MACE, defined as the composite of acute myocardial infarction (MI), unstable angina, heart failure (HF), new-onset severe arrhythmia, nonfatal cardiac arrest, and cardiac death, during the operation and within 30 days after noncardiac surgery [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>]. Patients with MACE were identified by examining their medical records. For data elements in the patients&#x2019; medical records, we used structured query language, a standard language for storing, manipulating, and retrieving data from databases, to identify instances of data domains. We extracted the patients&#x2019; postoperative biochemical test results, electrocardiograms (ECGs), coronary angiograms, postoperative course descriptions, and consultation records describing the specific MACE. A patient could have more than one MACE. The complications were independently evaluated by 3 experienced doctors. Any disputes were resolved through discussion and negotiation.</p><p>MI [<xref ref-type="bibr" rid="ref18">18</xref>] was defined as an increase and gradual decrease in troponin levels accompanied by at least one of the following: ischemic symptoms, abnormal Q waves on ECG, ST-segment elevation or depression, or coronary artery intervention (ie, coronary angioplasty). HF [<xref ref-type="bibr" rid="ref17">17</xref>] was defined as new in-hospital signs or symptoms of dyspnea or fatigue, orthopnea, paroxysmal nocturnal dyspnea, increased jugular venous pressure, pulmonary rales on physical examination, cardiomegaly, or pulmonary vascular engorgement. New-onset severe arrhythmia was defined as ECG evidence of atrial flutter, atrial fibrillation, ventricular tachycardia, ventricular fibrillation, and second- or third-degree atrioventricular conduction block. Nonfatal cardiac arrest was defined as the absence of a cardiac rhythm or the presence of a chaotic rhythm requiring any component of basic or advanced cardiac life support. Cardiac death was defined as any death unless an unequivocal noncardiovascular cause could be established.</p></sec><sec id="s2-5"><title>Data Collection</title><p>The following preoperative and intraoperative variables related to MACE were collected [<xref ref-type="bibr" rid="ref19">19</xref>]. First, demographic variables (age, sex, and BMI) and smoking and drinking status. Smoking (drinking) status included nonsmoker (nondrinker), current smoker (drinker), and former smoker (drinker). Patients who had stopped smoking (drinking) for &#x003E;1 year were considered former smokers (drinkers). Second, medical history (cerebrovascular disease, coronary heart disease, valvular heart disease, HF, arrhythmia, hypertension, diabetes mellitus, conditions requiring cardiac interventions, or peripheral arterial disease) and cardiac interventions, including coronary artery bypass grafting and percutaneous coronary intervention. Third, the most recent laboratory test results before surgery (hemoglobin, serum creatinine [SCr], and fibrinogen). Fourth, preoperative medicine (antiplatelet drugs, &#x03B2;-blockers, angiotensin-converting enzyme inhibitors [ACEI] and angiotensin receptor blockers [ARB], diuretic, and statin). Finally, surgery-related variables (ASA score, surgery type, surgery duration, emergency surgery, blood loss, urine volume, crystalloid infusion, and blood pressure data). The blood pressure data included noninvasive and invasive blood pressure, which were recorded at 30-second intervals from the Madison database. If no invasive blood pressure measurement was obtained during the operation, noninvasive blood pressure data were recorded. The baseline MAP was defined as the patients&#x2019; mean preoperative MAP. Artifactual data were removed using previously published criteria; for instance, an invalid MAP value was defined as (1) systolic blood pressure of &#x2265;300 or &#x2264;20 mm Hg, (2) systolic blood pressure &#x2264; diastolic blood pressure +5 mm Hg, (3) diastolic blood pressure of &#x2264;5 or &#x2265;225 mm Hg, or (4) MAP of &#x003E;155 or &#x003C;25 mm Hg [<xref ref-type="bibr" rid="ref20">20</xref>].</p></sec><sec id="s2-6"><title>Statistical Analysis</title><p>The patients were categorized by whether they had developed MACE. Continuous variables are expressed as mean and SD if normally distributed, and as median and IQR if nonnormally distributed. Categorical data are presented as frequency (%). For comparison of differences between the 2 groups, the variance test or Kruskal&#x2013;Wallis rank-sum test was used for continuous variables, and the chi-square test or Fisher exact test was used for categorical variables, as appropriate.</p><p>Moving-average smoothing plots with widths of 1, 3, and 5 minutes were used to determine the lowest MAP. Then, as previously reported [<xref ref-type="bibr" rid="ref9">9</xref>], the linearity between each MAP exposure and outcome was modeled by a restricted cubic spline function with 3 knots located at the 10th, 50th, and 90th percentiles, and univariate moving-average plots and multivariate smoothed cubic spline curves were used to determine the IOH threshold associated with an increased risk of MACE. The confounding variables were determined from the variables with a standard mean difference of &#x003C;0.2 in the baseline and with clinical meaning. These confounding variables included age, cerebrovascular disease, coronary heart disease, valvular heart disease, HF, arrhythmia, hypertension, peripheral arterial disease, renal insufficiency, hemoglobin, SCr, fibrinogen, antiplatelet drugs, &#x03B2;-blockers, ACEI, ARB, diuretic, ASA score, surgery type, surgery duration, emergency surgery, blood loss, urine volume, and crystalloid infusion.</p><p>Next, univariate and multivariate logistic regression analyses were performed to validate the practical value of IOH threshold by three different IOH exposure methods as described in the previous study: (1) time spent at the threshold associated with harmful outcomes, (2) total area under the threshold&#x2013;time plot, and (3) time-weighted average mean arterial pressure (TWA-MAP) under the threshold. After that, stratification analysis was used to explore whether the association between the IOH threshold and the occurrence of postoperative MACE differed between the very old (&#x2265;80 y old) and older adults.</p><p>Except where noted, a 2-tailed <italic>P</italic> value of&#x003C;.05 indicated a significant difference. All analyses were performed using R version 3.6.3 (The R Foundation for Statistical Computing).</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Patient Characteristics and Confounding Variables in PLAGH</title><p>In total, 44,795 older adult patients (&#x2265;65 years old) undergoing noncardiac surgery were identified from January 1, 2012, to August 1, 2019. Of these patients, 35,262 were included in the study after application of the inclusion and exclusion criteria (<xref ref-type="fig" rid="figure1">Figure 1</xref>), and 874 (2.48%) patients developed MACE. Of these 874 patients, 101 (0.29%) had acute MI, 139 (0.39%) had HF, 391 (1.11%) had arrhythmia, 215 (0.61%) had angina, and 65 (0.184%) had nonfatal cardiac arrest or cardiac death. There were significant differences between patients with and without MACE in terms of the ASA grade, hypertension, arrhythmia, HF, coronary artery disease, valvular heart disease, peripheral artery disease, hemoglobin concentration, SCr concentration, fibrinogen concentration, statin therapy, antiplatelet drugs, diuretics, type of surgery, surgery duration, colloid use, blood loss, and urine volume. However, there was no difference in the baseline MAP between the 2 groups (<xref ref-type="table" rid="table1">Table 1</xref>).</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>Patient flowchart. ASA: American Society of Anesthesiologists; PLAGH: People&#x2019;s Liberation Army General Hospital.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="aging_v8i1e67177_fig01.png"/></fig><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Patients&#x2019; baseline and intraoperative characteristics in People&#x2019;s Liberation Army General Hospital.</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Demographic characteristics, variable, and level</td><td align="left" valign="bottom">Non-MACE<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup> (n=34,388)</td><td align="left" valign="bottom">MACE (n=874)</td><td align="left" valign="bottom"><italic>P</italic> value</td><td align="left" valign="bottom">SMD<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top">Sex, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.54</td><td align="left" valign="top">0.02</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Female</td><td align="left" valign="top">16527 (48.1)</td><td align="left" valign="top">410 (46.9)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Male</td><td align="left" valign="top">17861 (51.9)</td><td align="left" valign="top">464 (53.1)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Age (y), mean (SD)</td><td align="left" valign="top">71 (5.11)</td><td align="left" valign="top">73 (6.11)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.40</td></tr><tr><td align="left" valign="top">Age&#x2265;80 y, n (%)</td><td align="left" valign="top">2392 (7)</td><td align="left" valign="top">132 (15.1)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.26</td></tr><tr><td align="left" valign="top">BMI<sup><xref ref-type="table-fn" rid="table1fn3">c</xref></sup> (kg/m<sup>2</sup>), median (IQR<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup>)</td><td align="left" valign="top">24.4 (22.2-26.8)</td><td align="left" valign="top">24.3 (22.1-26.8)</td><td align="left" valign="top">.28</td><td align="left" valign="top">0.04</td></tr><tr><td align="left" valign="top">Smoking status, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.15</td><td align="left" valign="top">0.06</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Nonsmoker</td><td align="left" valign="top">32249 (93.8)</td><td align="left" valign="top">806 (92.2)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Current smoker</td><td align="left" valign="top">1079 (3.1)</td><td align="left" valign="top">36 (4.1)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Former smoker</td><td align="left" valign="top">1060 (3.1)</td><td align="left" valign="top">32 (3.7)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Drinking status, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.16</td><td align="left" valign="top">0.06</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Nondrinker</td><td align="left" valign="top">27732 (80.6)</td><td align="left" valign="top">696 (79.6)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Current drinker</td><td align="left" valign="top">4553 (13.2)</td><td align="left" valign="top">111 (12.7)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Former drinker</td><td align="left" valign="top">2103 (6.1)</td><td align="left" valign="top">67 (7.7)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Previous history, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hypertension</td><td align="left" valign="top">15243 (44.3)</td><td align="left" valign="top">472 (54)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.20</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Diabetes</td><td align="left" valign="top">7845 (22.8)</td><td align="left" valign="top">231 (26.4)</td><td align="left" valign="top">.01</td><td align="left" valign="top">0.08</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Arrhythmia</td><td align="left" valign="top">3226 (9.4)</td><td align="left" valign="top">207 (23.7)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.39</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Congestive heart failure</td><td align="left" valign="top">66 (0.2)</td><td align="left" valign="top">44 (5)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.31</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Coronary heart disease</td><td align="left" valign="top">3802 (11.1)</td><td align="left" valign="top">219 (25.1)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.37</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Valvular heart disease</td><td align="left" valign="top">148 (0.4)</td><td align="left" valign="top">24 (2.8)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.19</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Peripheral artery disease</td><td align="left" valign="top">750 (2.2)</td><td align="left" valign="top">48 (5.5)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.17</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Cerebrovascular disease</td><td align="left" valign="top">2649 (7.7)</td><td align="left" valign="top">103 (11.8)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.14</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Renal insufficiency</td><td align="left" valign="top">423 (1.2)</td><td align="left" valign="top">43 (4.9)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.22</td></tr><tr><td align="left" valign="top">Preoperative laboratory data</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hgb<sup><xref ref-type="table-fn" rid="table1fn5">e</xref></sup> (g/L), median (IQR)</td><td align="left" valign="top">130 (119-141)</td><td align="left" valign="top">127 (111-139)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.24</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>SCr<sup><xref ref-type="table-fn" rid="table1fn6">f</xref></sup> (umol/L), median (IQR)</td><td align="left" valign="top">70.5 (60.0-82.5)</td><td align="left" valign="top">72.4 (61.2-88.0)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.28</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>FB<sup><xref ref-type="table-fn" rid="table1fn7">g</xref></sup> (g/L), median (IQR)</td><td align="left" valign="top">3.4 (2.9-4.0)</td><td align="left" valign="top">3.6 (3.0-4.5)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.23</td></tr><tr><td align="left" valign="top">Preoperative medication, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Statin</td><td align="left" valign="top">1862 (5.4)</td><td align="left" valign="top">89 (10.2)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.18</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Antiplatelet drugs</td><td align="left" valign="top">2886 (8.4)</td><td align="left" valign="top">108 (12.4)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.13</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x03B2;-blockers</td><td align="left" valign="top">2956 (8.6)</td><td align="left" valign="top">159 (18.2)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.29</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>ACEI<sup><xref ref-type="table-fn" rid="table1fn8">h</xref></sup></td><td align="left" valign="top">1306 (3.8)</td><td align="left" valign="top">51 (5.8)</td><td align="left" valign="top">.003</td><td align="left" valign="top">0.10</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>ARB<sup><xref ref-type="table-fn" rid="table1fn9">i</xref></sup></td><td align="left" valign="top">3132 (9.1)</td><td align="left" valign="top">109 (12.5)</td><td align="left" valign="top">.001</td><td align="left" valign="top">0.10</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Diuretic</td><td align="left" valign="top">2479 (7.2)</td><td align="left" valign="top">105 (12)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.16</td></tr><tr><td align="left" valign="top">Surgery-related factors</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>ASA<sup><xref ref-type="table-fn" rid="table1fn10">j</xref></sup>, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.49</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>I</td><td align="left" valign="top">579 (1.7)</td><td align="left" valign="top">7 (0.8)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>II</td><td align="left" valign="top">26963 (78.4)</td><td align="left" valign="top">522 (59.7)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>III</td><td align="left" valign="top">6598 (19.2)</td><td align="left" valign="top">288 (33)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>IV</td><td align="left" valign="top">248 (0.7)</td><td align="left" valign="top">57 (6.5)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Emergency surgery, n (%)</td><td align="left" valign="top">840 (2.4)</td><td align="left" valign="top">63 (7.2)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.22</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Type of surgery, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.46</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Ear and nose</td><td align="left" valign="top">1681 (4.9)</td><td align="left" valign="top">19 (2.2)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hepatobiliary</td><td align="left" valign="top">5885 (17.1)</td><td align="left" valign="top">139 (15.9)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Orthopedics</td><td align="left" valign="top">9567 (27.8)</td><td align="left" valign="top">192 (22)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Urology</td><td align="left" valign="top">3273 (9.5)</td><td align="left" valign="top">52 (6)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>General</td><td align="left" valign="top">6008 (17.5)</td><td align="left" valign="top">210 (24)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Neurosurgery</td><td align="left" valign="top">1569 (4.6)</td><td align="left" valign="top">42 (4.8)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Thoracic</td><td align="left" valign="top">2594 (7.5)</td><td align="left" valign="top">133 (15.2)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Vascular</td><td align="left" valign="top">928 (2.7)</td><td align="left" valign="top">58 (6.6)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Others</td><td align="left" valign="top">2883 (8.4)</td><td align="left" valign="top">29 (3.3)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Surgery duration (min)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.46</td></tr><tr><td align="char" char="hyphen" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>0-60</td><td align="left" valign="top">889 (2.6)</td><td align="left" valign="top">37 (4.2)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="char" char="hyphen" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>60-180</td><td align="left" valign="top">17102 (49.7)</td><td align="left" valign="top">272 (31.1)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="char" char="hyphen" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>180-240</td><td align="left" valign="top">7725 (22.5)</td><td align="left" valign="top">213 (24.4)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="char" char="hyphen" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>240-infinity</td><td align="left" valign="top">8672 (25.2)</td><td align="left" valign="top">352 (40.3)</td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Baseline MAP<sup><xref ref-type="table-fn" rid="table1fn11">k</xref></sup> (mm Hg), median (IQR)</td><td align="left" valign="top">96 (89-103)</td><td align="left" valign="top">95 (87-102)</td><td align="left" valign="top">.04</td><td align="left" valign="top">0.07</td></tr><tr><td align="left" valign="top">Crystalloid infusion rate (ml/kg&#x00B7;min), mean (SD)</td><td align="left" valign="top">0.05 (0.0)</td><td align="left" valign="top">0.051 (0.0)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.16</td></tr><tr><td align="left" valign="top">Blood loss (mL), median (IQR)</td><td align="left" valign="top">100 (50-200)</td><td align="left" valign="top">200 (100-300)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.21</td></tr><tr><td align="left" valign="top">Urine volume (mL), median (IQR)</td><td align="left" valign="top">300 (100-550)</td><td align="left" valign="top">400 (200-700)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">0.25</td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>MACE: major adverse cardiac events.</p></fn><fn id="table1fn2"><p><sup>b</sup>SMD: standard mean difference.</p></fn><fn id="table1fn3"><p><sup>c</sup>BMI; body mass index</p></fn><fn id="table1fn4"><p><sup>d</sup>IQR; interquartile range</p></fn><fn id="table1fn5"><p><sup>e</sup>Hgb: hemoglobin.</p></fn><fn id="table1fn6"><p><sup>f</sup>SCr: serum creatinine.</p></fn><fn id="table1fn7"><p><sup>g</sup>FB: fibrinogen.</p></fn><fn id="table1fn8"><p><sup>h</sup>ACEI: angiotensin-converting enzyme inhibitors.</p></fn><fn id="table1fn9"><p><sup>i</sup>ARB: angiotensin receptor blockers.</p></fn><fn id="table1fn10"><p><sup>j</sup>ASA: American Society of Anesthesiologists.</p></fn><fn id="table1fn11"><p><sup>k</sup>MAP: mean arterial pressure.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-2"><title>Determination of IOH Thresholds</title><p>As illustrated in <xref ref-type="fig" rid="figure2">Figure 2A and B</xref>, the analysis of univariate moving average smoothing curves indicates that the curves converge at a MAP of 70 mm Hg and a 30% reduction from baseline values across various cumulative time intervals. This finding suggests that an absolute MAP below 70 mm Hg or a relative decrease of 30% from baseline may represent a critical threshold for IOH in older adult patients. After adjusting for confounding factors&#x2014;including age, cerebrovascular disease, coronary heart disease, valvular heart disease, HF, arrhythmia, hypertension, peripheral arterial disease, renal insufficiency, hemoglobin, SCr, fibrinogen, antiplatelet drugs, &#x03B2;-blockers, ACEI, ARB, diuretic, ASA score, surgery type, surgery duration, emergency surgery, blood loss, urine volume, crystalloid infusion&#x2014;<xref ref-type="fig" rid="figure2">Figures 2C and 2D</xref> reveal that the curves maintain convergence at the 70 mm Hg mark but lose convergence at the 30% reduction point, thereby underscoring the robustness of using an absolute MAP below 70 mm Hg as a threshold for IOH in older adult patients. To further validate this threshold&#x2019;s efficacy, the study used 3 widely adopted indicators of IOH exposure&#x2014;time below the threshold, area under the curve (AUC) beneath the threshold, and TWA-MAP&#x2014;subjecting them to multivariate logistic regression analysis. The adjusted model demonstrates a significant positive correlation between the duration of MAP below 70 mm Hg and the incidence of MACE. Specifically, when the duration of IOH exceeds 15 minutes, the risk of MACE substantially increases after adjusting for all confounding variables (adjusted odds ratio [OR] 1.51, 95% CI 1.22&#x2010;1.88, <italic>P</italic>&#x003C;.001). Notably, the AUC for the duration below the hypotensive threshold, measured in minutes&#x00D7;mm Hg, and the TWA-MAP also significantly affect MACE occurrence. As exposure intensity rises, the risk of MACE exhibits a graded increase, which further illustrates the dose-dependent effect of hypotension (<xref ref-type="table" rid="table2">Table 2</xref>).</p><fig position="float" id="figure2"><label>Figure 2.</label><caption><p>Univariable and multivariable relationship between MACE and absolute and relative lowest MAP thresholds. (<bold>A, B</bold>) Estimated probability of MACE was determined from the univariable moving-average smoothing plots. (<bold>C, D</bold>) Estimated probability of MACE was determined from smoothed multivariable logistic regression. MACE: major adverse cardiac events; MAP: mean arterial pressure; cum: cumulative.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="aging_v8i1e67177_fig02.png"/></fig><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Univariable and multivariable relationship between mean arterial pressure thresholds and outcomes.</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Duration of intraoperative hypotension</td><td align="left" valign="bottom">OR<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup> (95% CI)</td><td align="left" valign="bottom">Adjusted OR (95% CI)</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">Time with MAP<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup>&#x003C;70 mm Hg (per min)</td><td align="char" char="." valign="top">1.01 (1.00-1.01)</td><td align="char" char="." valign="top">1.00 (1.00-1.01)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">Time with MAP&#x003C;70 mm Hg (min)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>0.5&#x2010;5</td><td align="char" char="." valign="top">1.23 (0.94-1.60)</td><td align="char" char="." valign="top">1.26 (0.96-1.61)</td><td align="left" valign="top">.10</td></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>5&#x2010;10</td><td align="char" char="." valign="top">1.27 (0.97-1.65)</td><td align="char" char="." valign="top">1.23 (0.94-1.62)</td><td align="left" valign="top">.13</td></tr><tr><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>10&#x2010;15</td><td align="char" char="." valign="top">1.10 (0.81-1.49)</td><td align="char" char="." valign="top">1.06 (0.78-1.45)</td><td align="left" valign="top">.72</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>˃15</td><td align="char" char="." valign="top">1.69 (1.38-2.07)</td><td align="char" char="." valign="top">1.51 (1.22-1.88)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">Area under curve&#x003C;70 mm Hg (min&#x00D7;mm Hg)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Q1</td><td align="char" char="." valign="top">1.19 (0.93-1.52)</td><td align="char" char="." valign="top">1.20 (0.93-1.54)</td><td align="left" valign="top">.16</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Q2</td><td align="char" char="." valign="top">1.28 (1.01-1.63)</td><td align="char" char="." valign="top">1.22 (0.95-1.57)</td><td align="left" valign="top">.12</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Q3</td><td align="char" char="." valign="top">1.46 (1.15-1.85)</td><td align="char" char="." valign="top">1.37 (1.07-1.75)</td><td align="left" valign="top">.01</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Q4</td><td align="char" char="." valign="top">2.09 (1.67-2.61)</td><td align="char" char="." valign="top">1.82 (1.43-2.32)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">TWA<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup>-MAP&#x003C;70 mm Hg (mm Hg)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Q1</td><td align="char" char="." valign="top">1.35 (1.06-1.71)</td><td align="char" char="." valign="top">1.30 (1.01-1.66)</td><td align="left" valign="top">.04</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Q2</td><td align="char" char="." valign="top">1.36 (1.07-1.73)</td><td align="char" char="." valign="top">1.29 (1.01-1.66)</td><td align="left" valign="top">.04</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Q3</td><td align="char" char="." valign="top">1.48 (1.17-1.87)</td><td align="char" char="." valign="top">1.42 (1.11-1.82)</td><td align="left" valign="top">.005</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Q4</td><td align="char" char="." valign="top">1.83 (1.46-2.29)</td><td align="char" char="." valign="top">1.56 (1.22-1.99)</td><td align="left" valign="top">&#x003C;.001</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>OR: odds ratio.</p></fn><fn id="table2fn2"><p><sup>b</sup>MAP: mean arterial pressure.</p></fn><fn id="table2fn3"><p><sup>c</sup>TWA: time-weighted average.</p></fn></table-wrap-foot></table-wrap><p>As illustrated in <xref ref-type="table" rid="table3">Table 3</xref>, among patients aged &#x003C;80 years, compared with intraoperative MAP less than 70 mm Hg durations &#x2264;5 minutes, the ORs of intraoperative MAP less than 70 mm Hg durations of 5&#x2010;10 minutes, 10&#x2010;15 minutes, and &#x003E;15 minutes were 1.11 (95% CI 0.85&#x2010;1.44), 0.86 (95% CI 0.62&#x2010;1.17), and 1.31 (95% CI 1.09&#x2010;1.59), respectively. Among patients aged &#x2265;80 years, the ORs of intraoperative MAP less than 70 mm Hg durations of 5&#x2010;10 minutes, 10&#x2010;15 minutes, and &#x003E;15 minutes were 1.27 (95% CI 0.66&#x2010;2.54), 1.28 (95% CI 0.58&#x2010;2.64), and 1.38 (95% CI 0.86&#x2010;2.28), respectively.</p><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Results of stratification analysis.</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Stratifications</td><td align="left" valign="bottom">Time with MAP<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup>&#x003C;70 mm Hg (min)</td><td align="left" valign="bottom">OR<sup><xref ref-type="table-fn" rid="table3fn2">b</xref></sup> (95% CI)</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">Age &#x003C;80</td><td align="left" valign="top">0.5&#x2010;5</td><td align="left" valign="top">Reference</td><td align="left" valign="top">Reference</td></tr><tr><td align="left" valign="top">Age &#x003C;80</td><td align="left" valign="top">5&#x2010;10</td><td align="left" valign="top">1.11 (0.85&#x2010;1.44)</td><td align="left" valign="top">.43</td></tr><tr><td align="left" valign="top">Age &#x003C;80</td><td align="left" valign="top">10&#x2010;15</td><td align="left" valign="top">0.86 (0.62&#x2010;1.17)</td><td align="left" valign="top">.34</td></tr><tr><td align="left" valign="top">Age &#x003C;80</td><td align="left" valign="top">˃15</td><td align="left" valign="top">1.31 (1.09&#x2010;1.59)</td><td align="left" valign="top">&#x003C;.01</td></tr><tr><td align="left" valign="top">Age &#x2265;80</td><td align="left" valign="top">0.5&#x2010;5</td><td align="left" valign="top">Reference</td><td align="left" valign="top">Reference</td></tr><tr><td align="left" valign="top">Age &#x2265;80</td><td align="left" valign="top">5&#x2010;10</td><td align="left" valign="top">1.27 (0.66&#x2010;2.54)</td><td align="left" valign="top">.42</td></tr><tr><td align="left" valign="top">Age &#x2265;80</td><td align="left" valign="top">10&#x2010;15</td><td align="left" valign="top">1.28 (0.58&#x2010;2.64)</td><td align="left" valign="top">.52</td></tr><tr><td align="left" valign="top">Age &#x2265;80</td><td align="left" valign="top">˃15</td><td align="left" valign="top">1.38 (0.86&#x2010;2.28)</td><td align="left" valign="top">.19</td></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>MAP: mean arterial pressure.</p></fn><fn id="table3fn2"><p><sup>b</sup>OR: odds ratio.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-3"><title>Validation of the IOH Threshold for Older Adult Patients in Shanghai Changhai Hospital</title><p>A total of 13,418 older adult surgical patients were included at Changhai Hospital. Among them, 296 patients (2.2%) experienced MACE (<xref ref-type="fig" rid="figure1">Figure 1</xref>). The baseline characteristics of the patients are presented in Table S1 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. Univariate logistic regression analysis revealed a significant association between IOH and MACE (OR 1.01, 95% CI 1.00&#x2010;1.01, <italic>P</italic>&#x003C;.001). Following adjustment for confounding factors, including age, sex, history of cerebrovascular disease, history of coronary heart disease, history of valvular heart disease, history of HF, history of arrhythmia, history of hypertension, history of peripheral arterial disease, history of renal insufficiency, SCr, preoperative hemoglobin, preoperative fibrinogen, ASA grades, surgery duration, emergency surgery status, intraoperative blood loss, and intraoperative crystalloid infusion volume, the association between IOH and MACE remained robust (adjusted OR 1.01, 95% CI 1.00&#x2010;1.01, <italic>P</italic>&#x003C;.001). Furthermore, we found that IOH lasting &#x2265;15 minutes was associated with a significantly increased risk of MACE (adjusted OR 2.01, 95% CI 1.55&#x2010;2.59, <italic>P</italic>&#x003C;.001; Table S2 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). These results are consistent with findings from the PLAGH study.</p></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Findings</title><p>In this study, we investigated and validated the correlation between IOH and MACE in older adult patients undergoing noncardiac surgery from PLAGH and Shanghai Changhai Hospital. The findings indicate that the risk of MACE in older adult patients increases as MAP decreases during noncardiac surgery. Specifically, when the lowest intraoperative MAP falls below 70 mm Hg, there is a significant increase in the risk of MACE. Using an intraoperative MAP of 70 mm Hg as the reference threshold for IOH, the risk of MACE demonstrates a dose-dependent increase. In addition, if the duration of intraoperative MAP below 70 mm Hg exceeds 15 minutes, the risk of MACE increases above 50%. Consequently, using a MAP of 70 mm Hg as the reference threshold for IOH could offer more valuable guidance for older adult patients.</p><p>The relationship between IOH and postoperative complications has been extensively investigated by researchers [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref21">21</xref>-<xref ref-type="bibr" rid="ref26">26</xref>]. Previous studies have consistently demonstrated an association between the severity of IOH and postoperative complications [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref27">27</xref>-<xref ref-type="bibr" rid="ref30">30</xref>]. This severity encompasses not only the extent of the reduction but also the duration of hypotension and the area under the hypotension threshold. In line with previous studies, the results of our study demonstrate a strong correlation between the severity of IOH, as measured by time, AUC, or TWA-MAP, using a reference threshold of MAP 70 mm Hg, and the occurrence of MACE. Notably, our study also found that when MAP falls below 70 mm Hg for more than 15 minutes during surgery, the risk of MACE increases significantly. This finding may have important clinical implications. In liver resection surgery, where hepatic inflow occlusion is often necessary, the determination of an appropriate occlusion time is crucial. Our observation that MAP below 70 mm Hg for more than 15 minutes is associated with a 50% increased risk of MACE can serve as a valuable reference point in this context.</p><p>However, our study differs from previous research in terms of the currently accepted threshold for IOH. While the most used IOH threshold is a MAP of 65 mm Hg, our study suggests that a higher threshold of 70 mm Hg may be more suitable for older adult surgical patients. This discrepancy may be attributed to the fact that previous studies encompassed a general population, including patients aged 18 years and older or 45 years and older, whereas our study specifically focused on individuals aged 65 years and older. As mentioned earlier, the cardiovascular system of older adult patients is often delicately balanced, and even minor fluctuations in hemodynamics can have irreversible and severe consequences.</p><p>It is important to note the physiological differences in the very older adult population (aged 80 years and older). Within this cohort, blood pressure variability tends to be greater, necessitating more cautious monitoring and management during surgery. Although our study accounted for various confounding factors that may affect blood pressure fluctuations and the occurrence of postoperative MACE, the limitations inherent to retrospective studies prevented the adjustment for all potential confounders. As a result, our analyses did not yield sufficient statistical significance in this very old group. The specific factors contributing to the lack of significant findings could include the unique cardiovascular responses and decreased physiologic reserves that characterize this demographic. Our results underscore the need for future studies to refine the thresholds for IOH in older patients, as traditional metrics may not adequately reflect the risks faced by this vulnerable population.</p><p>This study has 2 main limitations. First, the occurrence of MACE was lower than that in other research, and this was primarily attributed to the limitations inherent in retrospective studies. The reliance solely on patients&#x2019; medical records for the identification of postoperative MACE may have led to underrecognition of specific cases of acute MI because of the absence of postoperative troponin monitoring. Second, although this study showed that a 25% decrease from baseline MAP was associated with MACE, no significant association was found in the subsequent validation analyses. This was also probably due to the limitations inherent in retrospective studies.</p></sec><sec id="s4-2"><title>Conclusion</title><p>For older adult patients undergoing noncardiac surgery, intraoperative MAP should be kept above 70 mm Hg to reduce the risk of postoperative MACE. However, for patients older than 80 years, further research is needed to explore the accurate threshold for IOH.</p></sec></sec></body><back><ack><p>We thank Professor Lan Sun, Professor Longtao Wu, Professor Wei Wei, Professor Linlin Xu, and Lei Mo of Shanghai Lejiu Healthcare Technology for their technical assistance in the data extraction and statistical analyses. We also thank Angela Morben, DVM, ELS, from Liwen Bianji (Edanz) for editing the English text of a draft of this manuscript.</p><p>This research was supported by the National Key Research and Development Program of China (2018YFC2001900) and the Beijing Nova Program (Z211100002121171). The authors declare no competing financial interests.</p></ack><notes><sec><title>Data Availability</title><p>The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p></sec></notes><fn-group><fn fn-type="con"><p>Conception and design of study: KZ</p><p>Conceptualization: HL</p><p>Data curation: MW, TZ, BM, JL, QF, SY, LB</p><p>Formal analysis: KZ</p><p>Funding acquisition: WM</p><p>Methodology: KZ</p><p>Project administration: WM</p><p>Resources: LB, WM, HL</p><p>Software: KZ</p><p>Supervision: YL, JC</p><p>Writing-original draft: KZ, CL</p><p>Writing-review &#x0026; editing: WM, HL, LB</p></fn><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">ACEI</term><def><p>angiotensin-converting enzyme inhibitor</p></def></def-item><def-item><term id="abb2">ARB</term><def><p>angiotensin receptor blocker</p></def></def-item><def-item><term id="abb3">ASA</term><def><p>American Society of Anesthesiologists</p></def></def-item><def-item><term id="abb4">AUC</term><def><p>area under the curve</p></def></def-item><def-item><term id="abb5">ECG</term><def><p>electrocardiogram</p></def></def-item><def-item><term id="abb6">HF</term><def><p>heart failure</p></def></def-item><def-item><term id="abb7">IOH</term><def><p>intraoperative hypotension</p></def></def-item><def-item><term id="abb8">MACE</term><def><p>major adverse cardiac event</p></def></def-item><def-item><term id="abb9">MAP</term><def><p>mean arterial pressure</p></def></def-item><def-item><term id="abb10">MI</term><def><p>myocardial infarction</p></def></def-item><def-item><term id="abb11">OR</term><def><p>odds ratio</p></def></def-item><def-item><term id="abb12">PLAGH</term><def><p>People&#x2019;s Liberation Army General Hospital</p></def></def-item><def-item><term id="abb13">SCr</term><def><p>serum creatinine</p></def></def-item><def-item><term 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