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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2022.1101574</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Aging Neuroscience</subject>
<subj-group>
<subject>Correction</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Corrigendum: Systemic-immune-inflammation index as a promising biomarker for predicting perioperative ischemic stroke in older patients who underwent non-cardiac surgery</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Faqiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1529193/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Niu</surname> <given-names>Mu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Long</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1548502/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Yanhong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shi</surname> <given-names>Likai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cao</surname> <given-names>Jiangbei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mi</surname> <given-names>Weidong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ma</surname> <given-names>Yulong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/662742/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Jing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1514376/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Anesthesia and Operation Center, The First Medical Center, Chinese PLA General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University</institution>, <addr-line>Xuzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pain Medicine, The First Medical Center, Chinese PLA General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited and reviewed by: Yujie Chen, Army Medical University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Yulong Ma <email>yulongma123&#x00040;163.com</email></corresp>
<corresp id="c002">Jing Liu <email>liuj301&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Neuroinflammation and Neuropathy, a section of the journal Frontiers in Aging Neuroscience</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>14</volume>
<elocation-id>1101574</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Zhang, Niu, Wang, Liu, Shi, Cao, Mi, Ma and Liu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhang, Niu, Wang, Liu, Shi, Cao, Mi, Ma and Liu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<related-article id="RA1" related-article-type="corrected-article" journal-id="Front. Aging Neurosci." journal-id-type="nlm-ta" vol="14" page="865244" xlink:href="10.3389/fnagi.2022.865244" ext-link-type="doi">A corrigendum on <article-title>Systemic-immune-inflammation index as a promising biomarker for predicting perioperative ischemic stroke in older patients who underwent non-cardiac surgery</article-title> by Zhang, F., Niu, M., Wang, L., Liu, Y., Shi, L., Cao, J., Mi, W., Ma, Y., and Liu, J. (2022). <italic>Front. Aging Neurosci</italic>. 14:865244. doi: <object-id>10.3389/fnagi.2022.865244</object-id></related-article>
<kwd-group>
<kwd>systemic-immune-inflammation index (SII)</kwd>
<kwd>perioperative stroke</kwd>
<kwd>postoperative complication</kwd>
<kwd>inflammation</kwd>
<kwd>older patients</kwd>
<kwd>biomarker</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="1"/>
<page-count count="5"/>
<word-count count="1776"/>
</counts>
</article-meta>
</front>
<body>
<p>In the original article, there was a mistake in <xref ref-type="fig" rid="F1">Figure 1</xref> as published. &#x0201C;ASA physical status V&#x0201D; should be &#x0201C;ASA physical status &#x02265; IV.&#x0201D; In addition the corresponding <italic>n</italic> number was give as 391, but should be 1,091. In addition, the corresponding n number for &#x0201C;Missing data for any confounder&#x0201D; was 3,144 but should be 2,444. The revised <xref ref-type="fig" rid="F1">Figure 1</xref> appears below.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Study profile. ASA, American Society of Anesthesiologists; PSM, propensity score matching.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-14-1101574-g0001.tif"/>
</fig>
<p>There was also an error in <bold>Materials and methods</bold>, &#x0201C;<italic>Inclusion and exclusion criteria</italic>,&#x0201D; Paragraph 1. &#x0201C;Patients who presented with an American Society of Anesthesiologists (ASA) classification of V&#x0201D; should be &#x0201C;Patients who presented with an American Society of Anesthesiologists (ASA) classification of &#x02265;IV.&#x0201D; The corrected paragraph appears below:</p>
<p>&#x0201C;Patients who underwent non-cardiac surgery between January 2008 and August 2019 at Chinese PLA General Hospital were initially screened from a perioperative retrospective database. The inclusion criteria were as follows: (1) aged 65 yr or older; (2) underwent non-cardiac surgery; (3) received general anesthesia; and (4) were with duration of surgery &#x0003E; 60 min. Patients who presented with an American Society of Anesthesiologists (ASA) classification of &#x02265;IV, were performed under regional anesthesia, or had missing clinical data were excluded. Among patients who underwent multiple surgeries during the study period, only the first eligible surgery was considered. A flow diagram of the patient selection process is displayed in <xref ref-type="fig" rid="F1">Figure 1</xref>.&#x0201D; In the original article, there was also a mistake in the <bold>Abstract</bold>, &#x0201C;<italic>Conclusion</italic>&#x0201D; as published. The Abstract conclusion stated, &#x0201C;after non-cardiac surgery in elderly older patients.&#x0201D; This should be &#x0201C;after non-cardiac surgery in older patients.&#x0201D; The corrected paragraph appears below:</p>
<p>&#x0201C;<bold>Conclusion:</bold> Preoperative SII, which includes neutrophil, platelet, and lymphocyte counts obtained from routine blood analysis, was a potential prognostic biomarker for predicting perioperative ischemic stroke after non-cardiac surgery in older patients. An elevated SII, based on an optimal cut-off value of 583, was an independent risk factor for perioperative ischemic stroke.&#x0201D;</p>
<p>In the original article, there was also an error in <xref ref-type="table" rid="T1">Table 1</xref> and Supplementary Tables 2&#x02013;4. The covariates previously stated &#x0201C;Class III and IV&#x0201D; and &#x0201C;Arterial fibrillation.&#x0201D; The corrected covariates are &#x0201C;Class III&#x0201D; and &#x0201C;Atrial fibrillation or VHD.&#x0201D; The corrected <xref ref-type="table" rid="T1">Table 1</xref> appears below. The corrected Supplementary Tables 2&#x02013;4 appear in the Supplementary Material of the original article.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline characteristics of unadjusted sample and propensity score-matched sample (patients from 2008&#x02013;2019).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristic</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>Unadjusted sample</bold><break/> <bold>(</bold><italic><bold>n</bold></italic> = <bold>40,670)</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>PSM adjusted (1:1)</bold><break/> <bold>(</bold><italic><bold>n</bold></italic> = <bold>21,652)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>SII &#x0003C; 583</bold></th>
<th valign="top" align="center"><bold>SII &#x02265;583</bold></th>
<th valign="top" align="center"><bold><italic>P-</italic>value</bold></th>
<th valign="top" align="center"><bold>SMD</bold></th>
<th valign="top" align="center"><bold>SII &#x0003C; 583</bold></th>
<th valign="top" align="center"><bold>SII &#x02265;583</bold></th>
<th valign="top" align="center"><bold><italic>P-</italic>value</bold></th>
<th valign="top" align="center"><bold>SMD</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>(<italic>n</italic> = 29,060)</bold></th>
<th valign="top" align="center"><bold>(<italic>n</italic> = 11,610)</bold></th>
<th/>
<th/>
<th valign="top" align="center"><bold>(<italic>n</italic> = 10,826)</bold></th>
<th valign="top" align="center"><bold>(<italic>n</italic> = 10,826)</bold></th>
<th/>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Demographics</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age, y<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">70.0 (67.0,73.0)</td>
<td valign="top" align="center">70.0 (67.0,75.0)</td>
<td valign="top" align="center">0.126</td>
<td valign="top" align="center">0.152</td>
<td valign="top" align="center">70.0 (67.0,74.0)</td>
<td valign="top" align="center">70.0 (67.0,74.0)</td>
<td valign="top" align="center">0.556</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Female (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">13651 (47.0)</td>
<td valign="top" align="center">4683 (40.3)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">4458 (41.2)</td>
<td valign="top" align="center">4427 (40.9)</td>
<td valign="top" align="center">0.679</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup><xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">24.5 (22.3,26.9)</td>
<td valign="top" align="center">23.7 (21.5,26.0)</td>
<td valign="top" align="center">0.089</td>
<td valign="top" align="center">0.233</td>
<td valign="top" align="center">24.0 (21.6,26.4)</td>
<td valign="top" align="center">23.8 (21.5,26.0)</td>
<td valign="top" align="center">0.136</td>
<td valign="top" align="center">0.097</td>
</tr>
<tr>
<td valign="top" align="left"><bold>ASA classification (%)</bold><xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Class I</td>
<td valign="top" align="center">741 (2.5)</td>
<td valign="top" align="center">234 (2.0)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.197</td>
<td valign="top" align="center">261 (2.4)</td>
<td valign="top" align="center">230 (2.1)</td>
<td valign="top" align="center">0.356</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">Class II</td>
<td valign="top" align="center">22885 (78.8)</td>
<td valign="top" align="center">8255 (71.1)</td>
<td/>
<td/>
<td valign="top" align="center">7826 (72.3)</td>
<td valign="top" align="center">7793 (72.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Class III</td>
<td valign="top" align="center">5434 (18.7)</td>
<td valign="top" align="center">3121 (26.9)</td>
<td/>
<td/>
<td valign="top" align="center">2739 (25.3)</td>
<td valign="top" align="center">2803 (25.9)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Previous medical history</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hypertension (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">10874 (37.4)</td>
<td valign="top" align="center">4685 (40.4)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.060</td>
<td valign="top" align="center">4211 (38.9)</td>
<td valign="top" align="center">4360 (40.3)</td>
<td valign="top" align="center">0.257</td>
<td valign="top" align="center">0.021</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">6096 (21.0)</td>
<td valign="top" align="center">2756 (23.7)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">2436 (22.5)</td>
<td valign="top" align="center">2554 (23.6)</td>
<td valign="top" align="center">0.178</td>
<td valign="top" align="center">0.076</td>
</tr>
<tr>
<td valign="top" align="left">Prior ischemic stroke (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">1552 (5.3)</td>
<td valign="top" align="center">847 (7.3)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.080</td>
<td valign="top" align="center">682 (6.3)</td>
<td valign="top" align="center">765 (7.1)</td>
<td valign="top" align="center">0.228</td>
<td valign="top" align="center">0.068</td>
</tr>
<tr>
<td valign="top" align="left">Coronary heart disease (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">2879 (9.9)</td>
<td valign="top" align="center">1231 (10.6)</td>
<td valign="top" align="center">0.037</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">1070 (9.9)</td>
<td valign="top" align="center">1146(10.6)</td>
<td valign="top" align="center">0.093</td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation or VHD (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">454 (1.6)</td>
<td valign="top" align="center">202 (1.7)</td>
<td valign="top" align="center">0.215</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">165 (1.5)</td>
<td valign="top" align="center">180 (1.7)</td>
<td valign="top" align="center">0.447</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral vascular disease (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">1996 (6.9)</td>
<td valign="top" align="center">892 (7.7)</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.031</td>
<td valign="top" align="center">811 (7.5)</td>
<td valign="top" align="center">802 (7.4)</td>
<td valign="top" align="center">0.836</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Renal dysfunction (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref><xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">338 (1.2)</td>
<td valign="top" align="center">234 (2.0)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">191 (1.8)</td>
<td valign="top" align="center">205 (1.9)</td>
<td valign="top" align="center">0.456</td>
<td valign="top" align="center">0.047</td>
</tr>
<tr>
<td valign="top" align="left">&#x003B2;-blockers medication (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">2051 (7.1)</td>
<td valign="top" align="center">999 (8.6)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.058</td>
<td valign="top" align="center">869 (8.2)</td>
<td valign="top" align="center">931 (8.6)</td>
<td valign="top" align="center">0.167</td>
<td valign="top" align="center">0.065</td>
</tr>
<tr>
<td valign="top" align="left">Aspirin medication (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">2553 (8.8)</td>
<td valign="top" align="center">1174 (10.1)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.045</td>
<td valign="top" align="center">1024 (9.5)</td>
<td valign="top" align="center">1086 (10.0)</td>
<td valign="top" align="center">0.293</td>
<td valign="top" align="center">0.043</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Preoperative laboratory data</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin, g/L<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">132.0 (122.0,142.0)</td>
<td valign="top" align="center">125.0 (111.0,138.0)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">128.0 (114.0,140.0)</td>
<td valign="top" align="center">127.0 (113.0,139.0)</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">0.083</td>
</tr>
<tr>
<td valign="top" align="left">Albumin, g/L<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">40.3 (38.1,42.5)</td>
<td valign="top" align="center">40.5 (38.2,43.0)</td>
<td valign="top" align="center">0.223</td>
<td valign="top" align="center">0.481</td>
<td valign="top" align="center">38.9 (36.2,41.4)</td>
<td valign="top" align="center">38.8 (36.0,41.7)</td>
<td valign="top" align="center">0.837</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Total bilirubin, &#x003BC;mol/L<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">10.9 (8.4,14.2)</td>
<td valign="top" align="center">10.6 (7.8,15.6)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.291</td>
<td valign="top" align="center">10.7 (8.3,14.6)</td>
<td valign="top" align="center">10.6 (7.7,14.9)</td>
<td valign="top" align="center">0.202</td>
<td valign="top" align="center">0.093</td>
</tr>
<tr>
<td valign="top" align="left">Prothrombin time, s<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">13.1 (12.6,13.6)</td>
<td valign="top" align="center">13.2 (12.7,13.9)</td>
<td valign="top" align="center">0.123</td>
<td valign="top" align="center">0.176</td>
<td valign="top" align="center">13.2 (12.7,13.8)</td>
<td valign="top" align="center">13.2 (12.7,13.8)</td>
<td valign="top" align="center">0.600</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Surgical and anesthetic factors</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Preoperative MAP, mmHg</td>
<td valign="top" align="center">95.7 (88.7,103.0)</td>
<td valign="top" align="center">95.0 (87.3,102.3)</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">0.070</td>
<td valign="top" align="center">95.0 (87.3,102.3)</td>
<td valign="top" align="center">95.0 (88.0,102.7)</td>
<td valign="top" align="center">0.169</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Surgical procedures (%)</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Trauma surgery</td>
<td valign="top" align="center">433 (1.5)</td>
<td valign="top" align="center">602 (5.2)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.352</td>
<td valign="top" align="center">404 (3.7)</td>
<td valign="top" align="center">353 (3.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Spine</td>
<td valign="top" align="center">2751 (9.5)</td>
<td valign="top" align="center">715 (6.2)</td>
<td/>
<td/>
<td valign="top" align="center">758 (7.0)</td>
<td valign="top" align="center">711 (6.6)</td>
<td valign="top" align="center">0.258</td>
<td valign="top" align="center">0.041</td>
</tr>
<tr>
<td valign="top" align="left">Intra-abdominal surgery</td>
<td valign="top" align="center">9652 (33.2)</td>
<td valign="top" align="center">5159 (44.4)</td>
<td/>
<td/>
<td valign="top" align="center">4688 (43.3)</td>
<td valign="top" align="center">4690 (43.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Joint arthroplasty</td>
<td valign="top" align="center">3726 (12.8)</td>
<td valign="top" align="center">1031 (8.9)</td>
<td/>
<td/>
<td valign="top" align="center">987 (9.1)</td>
<td valign="top" align="center">1027 (9.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Urologic or gynecologic</td>
<td valign="top" align="center">3972 (13.7)</td>
<td valign="top" align="center">1219 (10.5)</td>
<td/>
<td/>
<td valign="top" align="center">1138 (10.6)</td>
<td valign="top" align="center">1209 (11.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Neurosurgery</td>
<td valign="top" align="center">1380 (4.7)</td>
<td valign="top" align="center">523 (4.5)</td>
<td/>
<td/>
<td valign="top" align="center">516 (4.8)</td>
<td valign="top" align="center">515 (4.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Thoracic or vascular</td>
<td valign="top" align="center">3362 (11.6)</td>
<td valign="top" align="center">1225 (10.5)</td>
<td/>
<td/>
<td valign="top" align="center">1172 (10.8)</td>
<td valign="top" align="center">1199 (11.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Other (plastic surgery, etc.)</td>
<td valign="top" align="center">3784 (13.0)</td>
<td valign="top" align="center">1136 (9.8)</td>
<td/>
<td/>
<td valign="top" align="center">1163 (10.7)</td>
<td valign="top" align="center">1122 (10.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Duration of procedures, min</td>
<td valign="top" align="center">155.0 (110.0,215.0)</td>
<td valign="top" align="center">170.0 (120.0.0,235.0)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.162</td>
<td valign="top" align="center">168.0 (118.0,231.0)</td>
<td valign="top" align="center">170.0 (120.0,235.0)</td>
<td valign="top" align="center">0.356</td>
<td valign="top" align="center">0.076</td>
</tr>
<tr>
<td valign="top" align="left">Estimated blood loss, mL</td>
<td valign="top" align="center">100.0 (50.0,200.0)</td>
<td valign="top" align="center">150.0 (50.0,300.0)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.083</td>
<td valign="top" align="center">140.0 (90.0,280.0)</td>
<td valign="top" align="center">145.7 (100.0,300.0)</td>
<td valign="top" align="center">0.167</td>
<td valign="top" align="center">0.096</td>
</tr>
<tr>
<td valign="top" align="left">MAP &#x02264; 65 mmHg (%)</td>
<td valign="top" align="center">12600 (43.4)</td>
<td valign="top" align="center">5749 (49.5)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.070</td>
<td valign="top" align="center">5125 (47.3)</td>
<td valign="top" align="center">5285 (48.8)</td>
<td valign="top" align="center">0.234</td>
<td valign="top" align="center">0.072</td>
</tr>
<tr>
<td valign="top" align="left">Crystalloid infusion, ml/kg/h</td>
<td valign="top" align="center">8.6 (6.5,11.4)</td>
<td valign="top" align="center">8.9 (6.6,11.8)</td>
<td valign="top" align="center">0.167</td>
<td valign="top" align="center">0.073</td>
<td valign="top" align="center">8.8 (6.6,11.7)</td>
<td valign="top" align="center">8.8 (6.5,11.7)</td>
<td valign="top" align="center">0.845</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Colloid infusion, ml/kg/h</td>
<td valign="top" align="center">2.9 (1.3,4.3)</td>
<td valign="top" align="center">3.1 (1.8,4.5)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.123</td>
<td valign="top" align="center">3.0 (1.6,4.4)</td>
<td valign="top" align="center">3.0 (1.8,4.5)</td>
<td valign="top" align="center">0.111</td>
<td valign="top" align="center">0.066</td>
</tr>
<tr>
<td valign="top" align="left">Blood transfusion (%)</td>
<td valign="top" align="center">3902 (13.4)</td>
<td valign="top" align="center">2322 (20.0)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.177</td>
<td valign="top" align="center">1998 (18.5)</td>
<td valign="top" align="center">2082 (19.2)</td>
<td valign="top" align="center">0.189</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<td valign="top" align="left">NSAIDs (%)</td>
<td valign="top" align="center">20502 (70.6)</td>
<td valign="top" align="center">8366 (72.1)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.033</td>
<td valign="top" align="center">7667 (70.8)</td>
<td valign="top" align="center">7709 (71.2)</td>
<td valign="top" align="center">0.539</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoid (%)</td>
<td valign="top" align="center">23749 (81.7)</td>
<td valign="top" align="center">9557 (82.3)</td>
<td valign="top" align="center">0.165</td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center">8905 (82.3)</td>
<td valign="top" align="center">8932 (82.5)</td>
<td valign="top" align="center">0.643</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Opioid dose, mg<xref ref-type="table-fn" rid="TN3"><sup>&#x02021;</sup></xref></td>
<td valign="top" align="center">120.0 (9.0,150.0)</td>
<td valign="top" align="center">135.0 (105.0,165.0)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.081</td>
<td valign="top" align="center">135.0 (100.0,150.0)</td>
<td valign="top" align="center">135.0 (105.0,165.0)</td>
<td valign="top" align="center">0.256</td>
<td valign="top" align="center">0.047</td>
</tr>
<tr>
<td valign="top" align="left">Volatile anesthetic (%)</td>
<td valign="top" align="center">27098 (93.2)</td>
<td valign="top" align="center">10819 (93.2)</td>
<td valign="top" align="center">0.840</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">10097 (93.3)</td>
<td valign="top" align="center">10110 (93.4)</td>
<td valign="top" align="center">0.744</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Preoperative NLR</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003C; 3</td>
<td valign="top" align="center">27796 (95.7)</td>
<td valign="top" align="center">4098 (35.3)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">1.643</td>
<td valign="top" align="center">10215 (94.4)</td>
<td valign="top" align="center">3951 (36.5)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">1.583</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;3</td>
<td valign="top" align="center">1264 (4.3)</td>
<td valign="top" align="center">7512 (64.7)</td>
<td/>
<td/>
<td valign="top" align="center">611 (5.6)</td>
<td valign="top" align="center">6875 (63.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Preoperative PLR</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003C; 119</td>
<td valign="top" align="center">18897 (65.0)</td>
<td valign="top" align="center">959 (8.3)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">1.458</td>
<td valign="top" align="center">6821 (63.0)</td>
<td valign="top" align="center">914 (8.4)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">1.385</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;119</td>
<td valign="top" align="center">10163 (35.0)</td>
<td valign="top" align="center">10651 (91.7)</td>
<td/>
<td/>
<td valign="top" align="center">4005 (37.0)</td>
<td valign="top" align="center">9912 (91.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Perioperative ischemic stroke (%)</td>
<td valign="top" align="center">126 (0.434)</td>
<td valign="top" align="center">111 (0.956)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.856</td>
<td valign="top" align="center">49 (0.453)</td>
<td valign="top" align="center">107 (0.988)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.939</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The data are presented as the median (inter-quartile range), mean (standard deviation) or n (%).</p>
<fn id="TN1"><label>&#x0002A;</label><p>Creatinine &#x0003E; 177 &#x003BC;m/l.</p></fn>
<fn id="TN2"><label>&#x02020;</label><p>Variables included in the propensity score.</p></fn>
<fn id="TN3"><label>&#x02021;</label><p>Including those prescribed intraoperatively and postoperatively (until 7 days after surgery).</p></fn>
<p>SII, systemic-immune-inflammation index; PSM, propensity score matching; SMD, standardized mean difference; BMI, body mass index; ASA, American Society of Anesthesiologists; VHD, valvular heart disease; MAP, mean arterial pressure; NSAIDs, non-steroid anti-inflammatory drugs; NLR, neutrophil-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio.</p>
</table-wrap-foot>
</table-wrap>
<p>In the original article there was also an error in <bold>Materials and methods</bold>, &#x0201C;<italic>Clinical outcome</italic>.&#x0201D; The definition of perioperative ischemic stroke was incomplete. The following information was not provided: &#x0201C;Diagnoses of stroke are confirmed by a combination of neuroimaging and clinical evidence of cerebrovascular ischemia during hospital stay.&#x0201D; The corrected paragraph appears below:</p>
<p>&#x0201C;The primary outcome of interest was perioperative ischemic stroke, defined as an episode of neurological dysfunction, such as motor, sensory, or cognitive dysfunction, caused by focal cerebral, spinal, or retinal infarction within 30 postoperative days (Sacco et al., <xref ref-type="bibr" rid="B1">2013</xref>). Diagnoses of stroke are confirmed by a combination of neuroimaging and clinical evidence of cerebrovascular ischemia during hospital stay. In our study, perioperative ischemic stroke patients were identified if discharge records included at least 1 ICD-9-CM/ICD-10-CM diagnosis code for stroke (Supplementary Table 1).&#x0201D;</p>
<p>We apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.</p>
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<title>Publisher&#x00027;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>
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<ref-list>
<title>References</title>
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<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sacco</surname> <given-names>R. L.</given-names></name> <name><surname>Kasner</surname> <given-names>S. E.</given-names></name> <name><surname>Broderick</surname> <given-names>J. P.</given-names></name> <name><surname>Caplan</surname> <given-names>L. R.</given-names></name> <name><surname>Connors</surname> <given-names>J. J.</given-names></name> <name><surname>Culebras</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association</article-title>. <source>Stroke</source> <volume>44</volume>, <fpage>2064</fpage>&#x02013;<lpage>2089</lpage>. <pub-id pub-id-type="doi">10.1161/STR.0b013e318296aeca</pub-id><pub-id pub-id-type="pmid">31329531</pub-id></citation></ref>
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</article>