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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2025.1667855</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Atrial fibrillation is associated with increased in-hospital mortality and complications after IV t-PA in acute ischemic stroke: evidence from the China Stroke Center Alliance (CSCA)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Xie</surname>
<given-names>Liwen</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<xref ref-type="author-notes" rid="fn0002"><sup>&#x2021;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Ruhui</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liang</surname>
<given-names>Zhigang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/624661"/>
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<contrib contrib-type="author">
<name>
<surname>Du</surname>
<given-names>Minghui</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3103909"/>
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<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Hanye</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Tianhao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Luan</surname>
<given-names>Zhuqing</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Zhongwen</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Kaixuan</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1098733"/>
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<aff id="aff1"><label>1</label><institution>Department of Neurology, Yantai Yuhuangding Hospital Affiliated to Qingdao University</institution>, <city>Yantai</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>The Second Clinical Medical College, Binzhou Medical University</institution>, <city>Yantai</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Zhigang Liang, <email xlink:href="mailto:zgliang@hotmail.com">zgliang@hotmail.com</email></corresp>
<fn fn-type="equal" id="fn0001">
<label>&#x2020;</label>
<p>These authors share first authorship</p>
</fn>
<fn fn-type="other" id="fn0002">
<label>&#x2021;</label>
<p>ORCID: Liwen Xie, <uri xlink:href="http://orcid.org/0000-0002-6358-415X">orcid.org/0000-0002-6358-415X</uri></p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-14">
<day>14</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1667855</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>08</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>30</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Xie, Liu, Liang, Du, Yuan, Zhang, Luan, Sun and Yang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Xie, Liu, Liang, Du, Yuan, Zhang, Luan, Sun and Yang</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-14">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background and purpose</title>
<p>Regarding the prognosis of patients with acute ischemic stroke (AIS) complicated by atrial fibrillation (AF) after thrombolysis, previous studies have reported conflicting results. This research investigates the connection between AF and in-hospital mortality following intravenous thrombolysis (IVT) in individuals with AIS.</p>
</sec>
<sec>
<title>Methods</title>
<p>Patient data were obtained from the Chinese Stroke Center Alliance (CSCA). This study constitutes a multicenter, retrospective cohort analysis, focusing on patients who received IVT using t-PA following an AIS. The primary outcome is adverse functional outcomes, characterized by in-hospital mortality. Safety outcomes mainly include cerebral hemorrhage. Univariate and multivariate logistic regression analyses were used to evaluate the relationship between AF and IVT outcomes.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 48,294 patients participated in the study, including 5,465 with a history of AF. Baseline characteristics indicated that patients in the AF group were of advanced age at the time of onset (74&#x202F;years vs. 65&#x202F;years, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). The NIHSS score at admission was higher (11 vs. 5, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and a modified Rankin Scale (mRS) score &#x2265;3 before admission was more common (28.7% vs. 24.8%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Regarding safety results, patients suffering from AF had higher in-hospital mortality (3.1% vs. 0.8%; adjusted OR 1.77, 95% CI 1.41&#x2013;2.23).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The study highlights that having a past of AF is linked to a higher chance of cerebral hemorrhage and in-hospital mortality in Chinese AIS patients following IVT. AF history is a strong predictor of in-hospital mortality (AUC&#x202F;=&#x202F;0.85).</p>
</sec>
</abstract>
<kwd-group>
<kwd>atrial fibrillation</kwd>
<kwd>cerebral hemorrhage</kwd>
<kwd>in-hospital mortality</kwd>
<kwd>intravenous thrombolysis</kwd>
<kwd>stroke</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Key Projects of Medical and Health Science and Technology in Shandong Province</institution>
</institution-wrap>
</funding-source>
<award-id rid="sp1">202303070650</award-id>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>Yantai Science and Technology Plan Project</institution>
</institution-wrap>
</funding-source>
<award-id rid="sp2">2021YD033</award-id>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was partially supported by grants from the Yantai Science and Technology Plan Project (2021YD033) and Key Projects of Medical and Health Science and Technology in Shandong Province (202303070650).</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="9"/>
<word-count count="6179"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Stroke</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Ischemic stroke accounts for 82.6% of all strokes in China, making it the primary cause of disability-adjusted life years and death (<xref ref-type="bibr" rid="ref1">1</xref>). Intravenous delivery of tissue plasminogen activator (t-PA) has demonstrated enhancements in clinical outcomes for individuals experiencing acute ischemic stroke (AIS) (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Atrial fibrillation (AF) is a risk factor for stroke that increases the likelihood of having one by almost five times (<xref ref-type="bibr" rid="ref4">4</xref>). Survivors of AIS often experience major adverse cardiovascular events (MACE) within 2&#x202F;years, with the presence of AF further heightening the risk of MACE following a stroke (<xref ref-type="bibr" rid="ref5">5</xref>).</p>
<p>Can AIS patients with AF safely undergo thrombolysis and experience substantial benefits from this treatment? Opinions on this subject remain divided. It is worth noting that in patients with acute ischemic stroke and atrial fibrillation, early recurrent embolization has been identified as one of the most important predictors for in-hospital mortality (<xref ref-type="bibr" rid="ref6">6</xref>), underscoring the potential severity of AF-related strokes. Kazumi et al. indicated that AF was independently linked to insufficient early recanalization following t-PA treatment (<xref ref-type="bibr" rid="ref7">7</xref>). Additionally, a history of AF has been linked to early ischemic stroke recurrence following intravenous thrombolysis (IVT) (<xref ref-type="bibr" rid="ref8">8</xref>). However, Brown et al. discovered that there was no correlation between atrial fibrillation (AF) and significant neurological improvement within 24&#x202F;h following the administration of t-PA (<xref ref-type="bibr" rid="ref9">9</xref>). In contrast, other studies suggest that AIS patients with AF who undergo IVT may experience fewer adverse outcomes than those without AF (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>Philipp et al. conducted a prospective randomized controlled trial (RCT) and found that patients taking direct oral anticoagulants (DOACs) did not develop symptomatic intracerebral hemorrhage (ICH) following IVT with alteplase, even beyond approved indications (<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>We hypothesize that AIS patients with a history of AF respond less favorably to t-PA treatment compared to those without AF. This research seeks to investigate the traits, in-hospital mortality rates, and complications associated with AIS patients who received t-PA treatment, both with and without a prior history of AF, utilizing registry data from the China Stroke Center Alliance (CSCA).</p>
</sec>
<sec sec-type="methods" id="sec2">
<title>Methods</title>
<p>The data used in this study were sourced from the China Stroke Center Alliance (CSCA) database, a nationwide, multicenter, prospective, continuous quality improvement initiative. Written informed consent was obtained from all patients or their legal surrogates at the time of enrollment into the CSCA database. Furthermore, the specific protocol for this study was reviewed and approved by the Ethics Committee of Beijing Tiantan Hospital, Capital Medical University. All statistical analyses were performed using de-identified data to protect patient privacy (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
<sec id="sec4">
<title>Patient characteristics</title>
<p>Data on patients was gathered from all hospitals within the CSCA network from January 2018 to October 2023. The criteria for inclusion were determined: (1) Patients aged 18&#x202F;years or older; (2) Diagnosis of AIS based on WHO standards, confirmed by brain computed tomography (CT) or magnetic resonance imaging (MRI); (3) Receipt of IVT with t-PA within 4.5&#x202F;h of symptom onset in China (<xref ref-type="bibr" rid="ref14">14</xref>); (4) Admission can occur either directly or via the emergency department. Patients were excluded: (1) Missing data, such as information on complications, in-hospital mortality, or AF status; (2) Patients undergoing endovascular treatment (EVT) after IVT.</p>
</sec>
<sec id="sec5">
<title>Clinical outcome measurement</title>
<p>The main focus was on measuring in-hospital mortality as the primary outcome, defined as a poor functional result. Secondary outcomes included recurrent stroke, cerebral hemorrhage, pneumonia, urinary tract infection, deep vein thrombosis, depression, seizure, and cardiac or respiratory arrest.</p>
</sec>
<sec id="sec6">
<title>Statistical analysis</title>
<p>Continuous variables were expressed as interquartile ranges (IQR), while categorical variables were shown as percentages. Baseline characteristics were assessed using Wilcoxon rank-sum tests for continuous variables and &#x03C7;<sup>2</sup> tests for categorical variables to compare differences. Odds ratios (ORs) and their 95% confidence intervals (CIs), including adjusted ORs, were calculated through univariate and multivariate logistic regression analyses. Adjustments were made for variables including mortality, stroke recurrence, cerebral hemorrhage, pneumonia, urinary tract infection, deep vein thrombosis, depression, seizure, and cardiac or respiratory arrest. Statistical analyses were conducted utilizing SAS 9.4, with a significance level set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<title>Result</title>
<p>Initially 1,006,798 patients were screened from the CSCA database. After excluding 168,569 patients without a diagnosis of AIS, 783,575 patients without IV t-PA treatment, and 6,217 patients who underwent EVT following IV t-PA, 143 patients with missing death information, and 19 patients without complication data, adding up to 48,294 patients with AIS who received IV thrombolysis were included in the final analysis. Of these, 16,759 (34.7%) were women. The patient selection process is outlined in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Study flowchart.</p>
</caption>
<graphic xlink:href="fneur-16-1667855-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart illustrating patient selection from the original CSCA database with 1,006,798 entries. Exclusions include patients without an IV t-PA diagnosis and those who underwent EVT, reducing to 48,437 with an ICH diagnosis. Further exclusions for missing death and complication information leave 48,294 eligible patients. These are divided into 42,829 with a history of AF and 5,465 without.</alt-text>
</graphic>
</fig>
<sec id="sec8">
<title>Baseline characteristics of patients</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref>, Baseline table, summarizes the demographic and clinical profiles of patients. Patients suffering from AF tended to be older, were more inclined to smoke, and had higher rates of prior stroke, transient ischemic attack (TIA), coronary heart disease (CHD), myocardial infarction (MI), heart failure, chronic obstructive pulmonary disease (COPD), and peripheral vascular disease compared to those without AF. They were also more likely to have a pre-admission Modified Rankin Scale (MRS) score of &#x2265;3. Conversely, patients with AF had lower systolic blood pressure, consumed less alcohol, and had a lower prevalence of diabetes.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Baseline characteristics of patients with or without history of AF.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Total (<italic>n</italic>&#x202F;=&#x202F;48,294 [100%])</th>
<th align="center" valign="top">Without history of AF (<italic>n</italic>&#x202F;=&#x202F;42,829 [88.7%])</th>
<th align="center" valign="top">With history of AF (<italic>n</italic>&#x202F;=&#x202F;5,465 [11.3%])</th>
<th align="center" valign="top"><italic>p</italic> Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5">Demographic</td>
</tr>
<tr>
<td align="left" valign="top">Age, years (IQR)</td>
<td align="char" valign="top" char="(">66.0 (57.0&#x2013;74.0)</td>
<td align="char" valign="top" char="(">65.0 (56.0&#x2013;73.0)</td>
<td align="char" valign="top" char="(">74.0 (67.0&#x2013;80.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="top" char="(">31,535 (65.3)</td>
<td align="char" valign="top" char="(">28,766 (67.2)</td>
<td align="char" valign="top" char="(">2,769 (50.7)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Physical examination</td>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td align="char" valign="top" char="(">23.4 (21.1&#x2013;25.5)</td>
<td align="char" valign="top" char="(">23.4 (21.2&#x2013;25.6)</td>
<td align="char" valign="top" char="(">22.9 (20.5&#x2013;25.1)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Systolic blood pressure, mmHg (IQR)</td>
<td align="char" valign="top" char="(">150.0 (136.0&#x2013;168.0)</td>
<td align="char" valign="top" char="(">151.0 (137.0&#x2013;168.0)</td>
<td align="char" valign="top" char="(">148.0 (134.0&#x2013;164.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Diastolic blood pressure, mmHg (IQR)</td>
<td align="char" valign="top" char="(">87.0 (79.0&#x2013;97.0)</td>
<td align="char" valign="top" char="(">87.0 (79.0&#x2013;97.0)</td>
<td align="char" valign="top" char="(">87.0 (78.0&#x2013;97.0)</td>
<td align="char" valign="top" char=".">0.33</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Behavioral history</td>
</tr>
<tr>
<td align="left" valign="top">Current smoking, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">28,039 (58.1)</td>
<td align="char" valign="top" char="(">24,235 (56.6)</td>
<td align="char" valign="top" char="(">3,804 (69.6)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Drinking, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">12,507 (25.9)</td>
<td align="char" valign="top" char="(">11,514 (26.9)</td>
<td align="char" valign="top" char="(">993 (18.2)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Medical history</td>
</tr>
<tr>
<td align="left" valign="top">Prior stroke or transient ischemic stroke, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">12,641 (26.2)</td>
<td align="char" valign="top" char="(">10,751 (25.1)</td>
<td align="char" valign="top" char="(">1890 (34.6)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">29,019 (60.1)</td>
<td align="char" valign="top" char="(">25,660 (59.9)</td>
<td align="char" valign="top" char="(">3,359 (61.5)</td>
<td align="char" valign="top" char=".">0.03</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes mellitus, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">8,595 (17.8)</td>
<td align="char" valign="top" char="(">7,711 (18.0)</td>
<td align="char" valign="top" char="(">884 (16.2)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Dyslipidemia, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">3,238 (6.7)</td>
<td align="char" valign="top" char="(">2,828 (6.6)</td>
<td align="char" valign="top" char="(">410 (7.5)</td>
<td align="char" valign="top" char=".">0.01</td>
</tr>
<tr>
<td align="left" valign="top">Prior coronary heart disease or myocardial infarction, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">4,747 (9.8)</td>
<td align="char" valign="top" char="(">3,620 (8.5)</td>
<td align="char" valign="top" char="(">1,127 (20.6)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Heart failure, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">700 (1.4)</td>
<td align="char" valign="top" char="(">312 (0.7)</td>
<td align="char" valign="top" char="(">388 (7.1)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Chronic obstructive pulmonary disease, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">598 (1.2)</td>
<td align="char" valign="top" char="(">449 (1.0)</td>
<td align="char" valign="top" char="(">149 (2.7)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Peripheral vascular disease, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">668 (1.4)</td>
<td align="char" valign="top" char="(">506 (1.2)</td>
<td align="char" valign="top" char="(">162 (3.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Treatment</td>
</tr>
<tr>
<td align="left" valign="top">Antiplatelet agents, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">8,045 (16.7)</td>
<td align="char" valign="top" char="(">6,502 (15.2)</td>
<td align="char" valign="top" char="(">1,543 (28.2)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Anticoagulant agents, <italic>n</italic> (%)</bold></td>
<td align="char" valign="top" char="(">1830 (3.8)</td>
<td align="char" valign="top" char="(">1,096 (2.6)</td>
<td align="char" valign="top" char="(">734 (13.4)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Antihypertensive agents, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">20,358 (42.2)</td>
<td align="char" valign="top" char="(">17,753 (41.5)</td>
<td align="char" valign="top" char="(">2,605 (47.7)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Antidiabetic agents, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">6,513 (13.5)</td>
<td align="char" valign="top" char="(">5,817 (13.6)</td>
<td align="char" valign="top" char="(">696 (12.7)</td>
<td align="char" valign="top" char=".">0.08</td>
</tr>
<tr>
<td align="left" valign="top">Chinese patent drug, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">2,930 (6.1)</td>
<td align="char" valign="top" char="(">2,393 (5.6)</td>
<td align="char" valign="top" char="(">537 (9.8)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Scales and laboratory result</td>
</tr>
<tr>
<td align="left" valign="top">Baseline modified ranking scale &#x003E;3, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">12,180 (25.2)</td>
<td align="char" valign="top" char="(">10,613 (24.8)</td>
<td align="char" valign="top" char="(">1,567 (28.7)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top"><bold>NIHSS score at admission (IQR)</bold></td>
<td align="char" valign="top" char="(">6.0 (3.0&#x2013;11.0)</td>
<td align="char" valign="top" char="(">5.0 (3.0&#x2013;10.0)</td>
<td align="char" valign="top" char="(">11.0 (5.0&#x2013;16.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Fasting blood glucose, mmol/L (IQR)</td>
<td align="char" valign="top" char="(">5.8 (5.0&#x2013;7.1)</td>
<td align="char" valign="top" char="(">5.8 (5.0&#x2013;7.1)</td>
<td align="char" valign="top" char="(">5.9 (5.1&#x2013;7.2)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Low-density Lipoprotein, mmol/L (IQR)</td>
<td align="char" valign="top" char="(">2.7 (2.1&#x2013;3.3)</td>
<td align="char" valign="top" char="(">2.7 (2.1&#x2013;3.4)</td>
<td align="char" valign="top" char="(">2.4 (1.9&#x2013;3.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Hemocysteine, (IQR)</td>
<td align="char" valign="top" char="(">13.3 (10.0&#x2013;18.7)</td>
<td align="char" valign="top" char="(">13.3 (10.0&#x2013;18.7)</td>
<td align="char" valign="top" char="(">13.6 (10.2&#x2013;18.3)</td>
<td align="char" valign="top" char=".">0.30</td>
</tr>
<tr>
<td align="left" valign="top">Blood platelet, (IQR)</td>
<td align="char" valign="top" char="(">201.0 (161.0&#x2013;244.0)</td>
<td align="char" valign="top" char="(">204.0 (165.0&#x2013;246.0)</td>
<td align="char" valign="top" char="(">178.0 (142.0&#x2013;218.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Other information</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Onset to IVT, min (%)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">0&#x2013;3&#x202F;h, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">28,859 (60.1)</td>
<td align="char" valign="top" char="(">25,441 (59.7)</td>
<td align="char" valign="top" char="(">3,418 (62.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;4.5&#x202F;h, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">17,904 (37.3)</td>
<td align="char" valign="top" char="(">15,997 (37.5)</td>
<td align="char" valign="top" char="(">1907 (35.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;4.5&#x202F;h, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">1,277 (2.7)</td>
<td align="char" valign="top" char="(">1,166 (2.7)</td>
<td align="char" valign="top" char="(">111 (2.0)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, Body Mass Index; NIHSS, National Institute of Health Stroke Scale; IVT, intravenous thrombolysis.</p>
</table-wrap-foot>
</table-wrap>
<p>Regarding treatment, 13.4% (734/5,465) of patients with AF were prescribed oral anticoagulants compared to 2.6% (1,096/42,829) of those without AF. Antiplatelet agents were used in 15.2% (650/5,465) of patients with AF and 28.2% (1,543/42,829) of patients without AF. Patients who did not have AF were more likely to undergo thrombolysis after a time period exceeding 4.5&#x202F;h from symptom onset.</p>
<p>To further delineate the specific cardiac disorders in AIS patients with AF, we referred to the study by Pujadas-Capmany et al. (<xref ref-type="bibr" rid="ref15">15</xref>). In their cohort of 402 cardioembolic stroke patients, the most frequent etiology was hypertrophic hypertensive heart disease complicated with AF (29.8%), followed by isolated AF (21.9%), left ventricular systolic dysfunction (22.6%), and rheumatic mitral valve disease (12.4%). Although systematic transthoracic echocardiography data were not available for all patients in our cohort, our AF patients exhibited a higher prevalence of heart failure, coronary heart disease, and peripheral vascular disease, indirectly suggesting an underlying burden of structural heart disease. These findings collectively underscore the importance of identifying and managing specific cardiac abnormalities in stroke patients with AF for comprehensive management and secondary prevention.</p>
</sec>
<sec id="sec9">
<title>Safety outcomes</title>
<p>Regarding the safety outcomes presented in <xref ref-type="table" rid="tab2">Table 2</xref> (safe outcome), after adjusting for variables such as age, sex, hypertension, diabetes mellitus, heart failure, history of stroke or transient ischemic attack (TIA), coronary heart disease (CHD) or myocardial infarction (MI), chronic obstructive pulmonary disease (COPD), smoking, alcohol consumption, LDL-C, fasting plasma glucose (FPG), homocysteine (HCY), platelet count (PLT), NIHSS score, mRS score, and other factors, the in-hospital mortality rate was 3.1% (170/5465) among patients who have previously been diagnosed with atrial fibrillation(AF), compared to 0.8% (359/42829) among those without AF (crude OR 3.89; 95% CI 3.23&#x2013;4.69). Following adjustment for multiple variables, the statistical significance of this difference persisted (adjusted OR 1.77; 95% CI 1.41&#x2013;2.23).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Rate of in-hospital mortality and complications in IV t-PA treated AIS patients with VS. without a history of AF.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Outcome</th>
<th align="center" valign="top" rowspan="2">With history of AF [Event/<italic>N</italic> (%)]</th>
<th align="center" valign="top" rowspan="2">Without history of AF [Event/<italic>N</italic> (%)]</th>
<th align="center" valign="top" colspan="2">Unadjusted</th>
<th align="center" valign="top" colspan="2">Multivariable adjusted&#x002A;</th>
</tr>
<tr>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Mortality</td>
<td align="center" valign="bottom">170/5465 (3.1)</td>
<td align="center" valign="bottom">359/42829 (0.8)</td>
<td align="char" valign="bottom" char="(">3.89 (3.23, 4.69)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">1.77 (1.41, 2.23)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Complication</td>
</tr>
<tr>
<td align="left" valign="middle">Stroke recurrence</td>
<td align="center" valign="bottom">310/5465 (5.7)</td>
<td align="center" valign="bottom">1934/42829 (4.5)</td>
<td align="char" valign="bottom" char="(">1.27 (1.13, 1.44)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">1.00 (0.86, 1.15)</td>
<td align="char" valign="bottom" char=".">0.953</td>
</tr>
<tr>
<td align="left" valign="middle">Cerebral hemorrhage</td>
<td align="center" valign="bottom">472/5465 (8.6)</td>
<td align="center" valign="bottom">1160/42829 (2.7)</td>
<td align="char" valign="bottom" char="(">3.46 (3.09, 3.87)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">2.15 (1.88, 2.46)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Pneumonia</td>
<td align="center" valign="bottom">1425/5465 (26.1)</td>
<td align="center" valign="bottom">4602/42829 (10.7)</td>
<td align="char" valign="bottom" char="(">2.98 (2.78, 3.19)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">1.48 (1.36, 1.61)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Urinary tract infection</td>
<td align="center" valign="bottom">154/5465 (2.8)</td>
<td align="center" valign="bottom">553/42829 (1.3)</td>
<td align="char" valign="bottom" char="(">2.25 (1.88, 2.70)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">1.29 (1.04, 1.59)</td>
<td align="char" valign="bottom" char=".">0.020</td>
</tr>
<tr>
<td align="left" valign="middle">Deep vein thrombosis</td>
<td align="center" valign="bottom">127/5465 (2.3)</td>
<td align="center" valign="bottom">518/42829 (1.2)</td>
<td align="char" valign="bottom" char="(">1.98 (1.63, 2.41)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">1.32 (1.04, 1.66)</td>
<td align="char" valign="bottom" char=".">0.020</td>
</tr>
<tr>
<td align="left" valign="middle">Depression</td>
<td align="center" valign="bottom">104/5465 (1.9)</td>
<td align="center" valign="bottom">607/42829 (1.4)</td>
<td align="char" valign="bottom" char="(">1.36 (1.11, 1.68)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">1.16 (0.91, 1.47)</td>
<td align="char" valign="bottom" char=".">0.237</td>
</tr>
<tr>
<td align="left" valign="middle">seizure</td>
<td align="center" valign="bottom">72/5465 (1.3)</td>
<td align="center" valign="bottom">237/42829 (0.6)</td>
<td align="char" valign="bottom" char="(">2.39 (1.83, 3.12)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">1.46 (1.07, 2.01)</td>
<td align="char" valign="bottom" char=".">0.018</td>
</tr>
<tr>
<td align="left" valign="middle">Cardiac or respiratory arrest</td>
<td align="center" valign="bottom">139/5465 (2.5)</td>
<td align="center" valign="bottom">273/42829 (0.6)</td>
<td align="char" valign="bottom" char="(">4.15 (3.38, 5.11)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
<td align="char" valign="bottom" char="(">1.77 (1.38, 2.29)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Adjusted for Abbreviations: mRS, Modified Ranking Score; OR, Odds Ratio; SD, Standardized Deviation; CI, Confidence Interval.</p>
</table-wrap-foot>
</table-wrap>
<p>In terms of complications, the incidence of cerebral hemorrhage during hospitalization was 8.6% (472/5465) in patients with a history of AF compared to 2.7% (1,160/42829) in those without AF. Statistical analysis demonstrated significant differences between the two groups (adjusted OR 2.15; 95% CI 1.88&#x2013;2.46). Additionally, patients who have previously received a diagnosis of AF demonstrated a higher likelihood of developing pneumonia (adjusted OR 1.48; 95% CI 1.36&#x2013;1.61) and cardiac or respiratory arrest (adjusted OR 1.77; 95% CI 1.38&#x2013;2.29).</p>
<p>Subgroup analyses (<xref ref-type="fig" rid="fig2">Figure 2</xref>) explored the relationship between age, sex, NIHSS on admission, time from symptom onset to IV thrombolysis (IVT), and current smoking. These analyses revealed that, except for current smoking, patients diagnosed with AF consistently exhibited a higher in-hospital mortality rate. Notably, among patients without a history of AF, those over 75&#x202F;years old (crude OR 2.03; 95% CI 1.42&#x2013;2.91) and patients who are female (crude OR 2.11; 95% CI 1.51&#x2013;2.94) derived significant benefits from IVT.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Subgroup analysis. NIHSS, National Institute of Health Stroke Scale; IVT, intravenous thrombolysis.</p>
</caption>
<graphic xlink:href="fneur-16-1667855-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Forest plot showing odds ratios comparing groups with and without a history of atrial fibrillation (AF) across subgroups: overall, age, gender, NIHSS, onset to IVT, and smoking status. The odds ratios indicate a higher likelihood of outcomes in patients with AF history, with significant p-values in most subgroups showing increased odds for those with AF history. The bars represent confidence intervals.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec10">
<title>Predictive factors outcomes</title>
<p>Logistic regression analysis identified a history of AF as a predictive factor for in-hospital mortality in AIS patients after thrombolysis. The factor&#x2019;s predictive accuracy was evaluated through the area under the receiver operating characteristic (ROC) curve. It achieved an AUC of 0.859, along with a sensitivity of 74.9% and a specificity of 83.5% (refer to <xref ref-type="fig" rid="fig3">Figure 3</xref>). This suggests that AF is a reliable predictor of in-hospital mortality following thrombolysis, with substantial clinical utility.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>ROC curve of atrial fibrillation history for predicting in-hospital mortality in acute ischemic stroke patients after intravenous thrombolysis.</p>
</caption>
<graphic xlink:href="fneur-16-1667855-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">ROC curve graph illustrating model performance with sensitivity on the y-axis and one minus specificity on the x-axis. The curve, shown in blue, demonstrates the area under the curve as 0.8593.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec11">
<title>Discussion</title>
<p>This study, involving nearly 50,000 patients, highlights that approximately 8.6% of individuals with a history of AF experience cerebral hemorrhage following intravenous thrombolysis. While the specific causes of in-hospital death (e.g., neurological vs. non-neurological) were not available for analysis, the significantly higher rates of cerebral hemorrhage, pneumonia, and cardiac/respiratory arrest in the AF group (<xref ref-type="table" rid="tab2">Table 2</xref>) nevertheless suggest that both neurological complications and systemic medical issues contribute to the elevated mortality observed. Moreover, a history of AF was identified as a strong predictor of in-hospital mortality after thrombolytic therapy. Patients over the age of 75 and female patients experienced particularly elevated mortality rates.</p>
<p>Globally, it is well-established that individuals with AF are at a heightened risk of both mortality and cerebral hemorrhage after thrombolytic therapy. The findings of this study align with those of previous research (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). Additionally, TIAN et al. demonstrated through a line chart prediction model that patients with AF face an increased risk of early functional decline following intravenous thrombolysis for AIS (<xref ref-type="bibr" rid="ref17">17</xref>). However, the underlying causes of these disparities remain incompletely understood.</p>
<p>Potential explanations include the following: Patients diagnosed with AF, the stroke type is frequently cardiogenic. The efficacy of IVT depends on several factors, including the thrombus&#x2019;s location and size, the drug&#x2019;s ability to penetrate it, and the time elapsed since the thrombus&#x2019;s formation (<xref ref-type="bibr" rid="ref16">16</xref>). Patients with AF often develop thrombi within the heart chambers, which become increasingly difficult to dissolve as they enlarge or persist over time. Prior studies have shown that AF patients often present with elevated baseline NIHSS scores, likely due to larger infarct sizes and impaired collateral circulation (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). Our baseline characteristics align with this; patients with AF chosen in CSCA exhibit elevated NIHSS scores. Yet, elevated NIHSS scores might be linked to increased rates of bleeding, ultimately resulting in higher in-hospital mortality rates. Hans et al. performed a comparison study on stroke patients with and without AF using data from a multimodal magnetic resonance imaging (MRI) trial that incorporated echoplanar imaging with diffusion and perfusion assessments. Their findings indicated that AF is linked to more severe baseline hypoperfusion, leading to larger infarct sizes, an elevated risk of hemorrhagic transformation, and poorer clinical results (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>We hypothesize that patients with a history of AF are more likely to be on anticoagulants compared to those with newly diagnosed AF. It is important to note that the analysis was conducted under the predetermined data agreement of the CSCA, which did not include variables such as AF subtype, duration, or adequacy of anticoagulation. Future research with access to these specific clinical details would be valuable in further elucidating the mechanisms behind our findings. This may lead to a higher risk of bleeding conversion during IVT while still on anticoagulants, ultimately resulting in an increased mortality rate. Therefore, it is expected that after undergoing IVT, patients with a history of AF will have a higher mortality rate compared to those newly diagnosed with the condition. However, a retrospective study has suggested that both newly diagnosed and previously diagnosed AF are linked to the risk of rICH, with newly diagnosed patients being more susceptible to rICH than those with a history of the condition. The possible reasons for this include the higher likelihood of asymptomatic cerebral infarction in newly diagnosed AF patients compared to those with a history of AF. Additionally, newly diagnosed AF patients may have experienced AF previously but remained undiagnosed due to the absence of an electrocardiogram examination. Asymptomatic AF patients are less likely to be detected, and no AF waveform may appear during electrocardiogram evaluations. Furthermore, newly diagnosed AF patients are unlikely to be prescribed medications such as antiplatelet, anticoagulant, or statin (<xref ref-type="bibr" rid="ref20">20</xref>) lipid-lowering therapy (<xref ref-type="bibr" rid="ref21">21</xref>). rICH can result in severe consequences, particularly an increased in-hospital mortality rate. Based on the research mentioned above, it is speculated that the higher in-hospital mortality rate among patients with AF undergoing IVT is more likely attributed to AF itself, rather than a high NIHSS score.</p>
<p>Our investigation also revealed that gender disparities are associated with outcomes following thrombolysis. The systematic review by Appelros et al. demonstrated that women, despite having a lower overall incidence of stroke, are more severely affected, presenting at an older age and experiencing higher one-month case fatality. This finding is corroborated by other studies which also indicate that the global burden of stroke, in terms of severity, is consistently greater in women than in men (<xref ref-type="bibr" rid="ref22 ref23 ref24">22&#x2013;24</xref>). Recent studies have shown that younger women with ischemic stroke have lower incidence rates than younger men, while older women have higher rates compared to older men (<xref ref-type="bibr" rid="ref25">25</xref>). The antithrombotic properties of endogenous estrogen are believed to be responsible for this trend. Zhou et al. (<xref ref-type="bibr" rid="ref26">26</xref>) discovered that women tend to benefit more from treatment than men in cases of ischemic stroke, a finding that aligns with our observations.</p>
<p>Considering the potential risks associated with newly diagnosed AF and a history of AF in patients with AIS, it is imperative to enhance awareness and implement appropriate strategies for AF detection (<xref ref-type="bibr" rid="ref27">27</xref>). Community hospitals can perform electrocardiogram screenings for AF in residents and provide education on the risks associated with AF-related strokes (<xref ref-type="bibr" rid="ref27">27</xref>). Targeting high-risk groups for stroke recurrence, such as patients with cryptogenic stroke, implantable cardiac monitoring devices (ICMs) can be used (<xref ref-type="bibr" rid="ref28">28</xref>) to identify occult AF. These devices offer diagnostic and preventive benefits for unexplained stroke.</p>
<p>Shimada et al. (<xref ref-type="bibr" rid="ref29">29</xref>) revealed that the occurrence of premature atrial contractions (PACs) in individuals with cryptogenic stroke exhibits a dose-dependent relationship with the detection of atrial fibrillation, suggesting that patients with more frequent PACs are at an elevated risk of being diagnosed with AF. Furthermore, the STROKE AF study highlights that among patients diagnosed with AIS and categorized as having large artery atherosclerosis (LAD) or small vessel occlusive disease (SVD), 12% developed AF within a year (<xref ref-type="bibr" rid="ref30">30</xref>), as monitored by an implanted cardiac monitor (ICM). The inclusion of ICMs in routine testing is recommended for cases of unexplained stroke (<xref ref-type="bibr" rid="ref31">31</xref>). When used as a secondary prevention measure, ICMs are particularly beneficial for patients who have congestive heart failure and left atrial enlargement (<xref ref-type="bibr" rid="ref32">32</xref>).</p>
<p>Considering that patients who have AIS combined with AF have poorer IVT treatment results than those without AF (<xref ref-type="bibr" rid="ref33">33</xref>), low-dose recombinant tissue plasminogen activator (rt-PA) (&#x003C;0.85&#x202F;mg/kg) may be considered to improve prognosis (<xref ref-type="bibr" rid="ref34">34</xref>). Additionally, anticoagulant-treated AF patients undergoing endovascular thrombectomy (EVT) show better functional outcomes after 90&#x202F;days, with a comparable rate of sICH. Administering thrombolysis prior to performing EVT in patients with atrial fibrillation has been shown to improve functional results at 90&#x202F;days and reduce mortality rates (<xref ref-type="bibr" rid="ref35">35</xref>). Q et al. (<xref ref-type="bibr" rid="ref36">36</xref>) indicate that the combination of IVT and EVT enhances functional outcomes and reduces mortality rates in suffering from AIS caused by large vessel occlusion (AIS-LVO), particularly in those with AF. Declining IVT in conjunction with EVT could potentially be detrimental to patients with AF.</p>
<p>Conversely, Nogueira et al. (<xref ref-type="bibr" rid="ref37">37</xref>) performed a combined analysis of data from two studies conducted in China and Japan. Three categories of Asian patients were examined: those with AF, patients experiencing the onset of EVT more than 180&#x202F;min after symptom onset, and patients with occlusion of the intracranial internal carotid artery (ICA). The analysis suggested that employing EVT alone may result in superior outcomes compared to the combination of IVT and EVT. The optimal treatment approach for patients with AF in conjunction with AIS remains undetermined, necessitating further in-depth research.</p>
<p>Our study has several limitations. First, it only includes patient data from Chinese hospitals, which limits our ability to assess the safety variations of IVT in patients with AF and AIS across different ethnic groups. Moreover, the patients we recruited did not include those who underwent thrombectomy or bridging thrombolysis. Secondly, the analysis incorporates data from nearly 50,000 patients, which led to some missing data points within the database. Additionally, certain data, such as Modified Rankin Scale (MRS) scores and imaging information on the sizes and subtypes of stroke, were not reported in the CSCA project. This limitation restricts the scope of our prognostic data analysis. Lastly, as a retrospective analysis, we cannot completely eliminate the possibility of selection bias.</p>
<sec id="sec12">
<title>Future research directions</title>
<p>While this study identified a history of AF as a significant predictor of in-hospital mortality following thrombolysis, future research should strive to identify earlier electrophysiological markers. Bay&#x00E9;s syndrome, characterized by advanced interatrial block, is an under-recognized cardiac rhythm disorder with substantial clinical implications. Recent evidence has established it as a novel and independent risk factor for atrial fibrillation and cardioembolic stroke, and it may be responsible for a proportion of unexplained, cryptogenic strokes (<xref ref-type="bibr" rid="ref38">38</xref>). Therefore, a promising and essential line of future inquiry would be to systematically evaluate the impact of Bay&#x00E9;s syndrome as a predictor for incident atrial fibrillation and increased in-hospital mortality in patients with AIS. Investigating this association could facilitate the earlier identification of high-risk patients and potentially inform novel targeted prevention and intervention strategies.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec13">
<title>Conclusion</title>
<p>In China, we have found that AF is independently linked to cerebral hemorrhage in AIS patients and serves as a significant predictor of in-hospital mortality for those receiving IVT. To lower in-hospital mortality rates among AIS patients undergoing IVT, it is essential to implement community electrocardiogram screenings, monitor high-risk populations with ICMs, and promote standardized management approaches for strokes related to AF across the country. Moving forward, it is important to expand research variables and further investigate the best treatment strategies for patients with AIS who also have AF. Future studies should also consider the heterogeneity of AF (e.g., subtype, anticoagulation status), the role of cardiac monitoring in cryptogenic stroke, and the potential impact of Bay&#x00E9;s syndrome on stroke mechanisms and outcomes.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec14">
<title>Data availability statement</title>
<p>This study utilized data from the China Stroke Center Alliance (CSCA) database. The CSCA is a national, hospital-based, multicenter, voluntary, continuous quality improvement initiative. The data coordinating center is located at the China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital. Requests to access the datasets should be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec15">
<title>Ethics statement</title>
<p>The study protocol for this retrospective analysis was approved by the Institutional Ethics Committee of Beijing Tiantan Hospital. All patient data were derived from the CSCA registry, for which written informed consent covering the use of anonymized data for research was obtained at the time of initial patient enrollment. Data were collected, coded, and de-identified via a secure web-based platform and transmitted in compliance with national privacy standards. All procedures adhered to ethical guidelines for human subject research and data protection.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>LX: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Data curation, Formal analysis, Supervision, Validation. RL: Methodology, Writing &#x2013; review &#x0026; editing. ZLi: Funding acquisition, Resources, Supervision, Writing &#x2013; review &#x0026; editing. MD: Investigation, Validation, Writing &#x2013; review &#x0026; editing. HY: Investigation, Writing &#x2013; review &#x0026; editing. TZ: Validation, Writing &#x2013; review &#x0026; editing. ZLu: Investigation, Validation, Writing &#x2013; review &#x0026; editing. ZS: Formal analysis, Writing &#x2013; review &#x0026; editing. KY: Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank all participants and investigators of this study for their excellent contributions.</p>
</ack>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec18">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec19">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn fn-type="custom" custom-type="edited-by" id="fn0003">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/639673/overview">William Huynh</ext-link>, University of New South Wales, Australia</p>
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<fn fn-type="custom" custom-type="reviewed-by" id="fn0004">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/674836/overview">Adria Arboix</ext-link>, Sacred Heart University Hospital, Spain</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1096650/overview">Yingkun He</ext-link>, Henan Provincial People's Hospital, China</p>
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