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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<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.2021.628077</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neurology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pre-treatment of Single and Double Antiplatelet and Anticoagulant With Intravenous Thrombolysis for Older Adults With Acute Ischemic Stroke: The TTT-AIS Experience</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Sheng-Feng</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="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1228376/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hu</surname> <given-names>Han-Hwa</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/560102/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ho</surname> <given-names>Bo-Lin</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Chih-Hung</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1113422/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chan</surname> <given-names>Lung</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/483912/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Huey-Juan</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/805370/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Yu</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/906263/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Yung-Yang</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Po-Lin</given-names></name>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Shinn-Kuang</given-names></name>
<xref ref-type="aff" rid="aff14"><sup>14</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wei</surname> <given-names>Cheng-Yu</given-names></name>
<xref ref-type="aff" rid="aff15"><sup>15</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/680372/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Yu-Te</given-names></name>
<xref ref-type="aff" rid="aff16"><sup>16</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname> <given-names>Jiunn-Tay</given-names></name>
<xref ref-type="aff" rid="aff17"><sup>17</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/414616/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chao</surname> <given-names>A-Ching</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1053033/overview"/>
</contrib>
<contrib contrib-type="author">
<collab>Taiwan Thrombolytic Therapy for Acute Ischemic Stroke (TTT-AIS) Study Group</collab>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Public Health, College of Public Health, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Critical Care Medicine, Taipei Medical University Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Clinical Pathology, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Neurology, Taipei Medical University-Shaung Ho Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Neurology, Kaohsiung Medical University Hospital</institution>, <addr-line>Kaohsiung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Neurology, Kaohsiung Medical University</institution>, <addr-line>Kaohsiung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Neurology, National Cheng Kung University Hospital</institution>, <addr-line>Tainan</addr-line>, <country>Taiwan</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Neurology, National Cheng Kung University</institution>, <addr-line>Tainan</addr-line>, <country>Taiwan</country></aff>
<aff id="aff10"><sup>10</sup><institution>Department of Neurology, Chi Mei Medical Center</institution>, <addr-line>Tainan</addr-line>, <country>Taiwan</country></aff>
<aff id="aff11"><sup>11</sup><institution>Department of Neurology, En Chu Kong Hospital</institution>, <addr-line>New Taipei City</addr-line>, <country>Taiwan</country></aff>
<aff id="aff12"><sup>12</sup><institution>Department of Neurology, Taipei Veterans General Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff13"><sup>13</sup><institution>Department of Neurology, Taichung Veterans General Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff14"><sup>14</sup><institution>Stroke Center and Department of Neurology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff15"><sup>15</sup><institution>Department of Neurology, Show Chwan Memorial Hospital</institution>, <addr-line>Changhua</addr-line>, <country>Taiwan</country></aff>
<aff id="aff16"><sup>16</sup><institution>Division of Neurology, Department of Medicine, Kaohsiung Veterans General Hospital</institution>, <addr-line>Kaohsiung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff17"><sup>17</sup><institution>Department of Neurology, National Defense Medical Center, Tri-Service General Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Peter Klivenyi, University of Szeged, Hungary</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Susanna Maria Zuurbier, Academic Medical Center, Netherlands; Dalius Jatuzis, Vilnius University, Lithuania</p></fn>
<corresp id="c001">&#x0002A;Correspondence: A-Ching Chao <email>achch&#x00040;cc.kmu.edu.tw</email></corresp>
<corresp id="c002">Han-Hwa Hu <email>hanhwa&#x00040;hotmail.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Stroke, a section of the journal Frontiers in Neurology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>02</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>628077</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>11</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>02</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Lin, Hu, Ho, Chen, Chan, Lin, Sun, Lin, Chen, Lin, Wei, Lin, Lee, Chao and Taiwan Thrombolytic Therapy for Acute Ischemic Stroke (TTT-AIS) Study Group.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Lin, Hu, Ho, Chen, Chan, Lin, Sun, Lin, Chen, Lin, Wei, Lin, Lee, Chao and Taiwan Thrombolytic Therapy for Acute Ischemic Stroke (TTT-AIS) Study Group</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license></permissions>
<abstract><p><bold>Background:</bold> This study aimed to investigate the safety and efficacy of single antiplatelet, anticoagulant and Dual Antiplatelet pre-treatment (DAPP) in older, moderate to high severity acute ischemic stroke patients treated with intravenous thrombolysis (IVT).</p>
<p><bold>Methods:</bold> A prospective cohort study was conducted to monitor the development of symptomatic intracranial hemorrhage (SICH) and functional outcomes at 90 days. Two different dosages of alteplase were used for IVT. Logistic regression models were used for analysis of the safety and efficacy outcomes.</p>
<p><bold>Results:</bold> A total of 1,156 patients were enrolled and categorized into six groups based on their pre-treatment medications: (1) aspirin (n = 213), (2) clopidogrel (<italic>n</italic> = 37), (3) DAPP of aspirin &#x0002B; clopidogrel (<italic>n</italic>= 27), (4) warfarin (<italic>n</italic> = 44), (5) any of the above pre-medications (<italic>n</italic> = 331), and (6) none of these medications as controls (<italic>n</italic> = 825). The DAPP group showed significantly increased SICH by the NINDS (adjusted OR: 4.90, 95% CI 1.28&#x02013;18.69) and the ECASS II (adjusted OR: 5.09, 95% CI: 1.01&#x02013;25.68) standards. The aspirin group was found to significantly improve the favorable functional outcome of the modified Rankin Scale (mRS) of 0&#x02013;1 (adjusted OR: 1.91, 95% CI, 1.31.2.78), but no significance for mRS of 0&#x02013;2 (adjusted OR: 1.39, 95% CI, 0.97&#x02013;1.99). The DAPP group also significantly increased mortality (adjusted OR: 4.75, 95% CI: 1.77&#x02013;12.72). A significant interaction between different dosages for IVT and the functional status was noted. Compared to standard dose, the DAPP group showed higher proportions of disability and mortality with low dose of IVT.</p>
<p><bold>Conclusion:</bold> For older adults with higher baseline severity of acute ischemic stroke, DAPP may increase the risk of SICH and mortality post IVT. However, DAPP is still not an indication to withdraw IVT and to prescribe low-dose IVT for older adults.</p></abstract>
<kwd-group>
<kwd>aspirin</kwd>
<kwd>clopidogrel</kwd>
<kwd>stroke</kwd>
<kwd>intracranial hemorrhage</kwd>
<kwd>intravenous thrombolysis</kwd>
</kwd-group>
<contract-num rid="cn001">108-2314-B-037-038-MY3</contract-num>
<contract-num rid="cn002">KMUH 108-8R61</contract-num>
<contract-sponsor id="cn001">Ministry of Science and Technology<named-content content-type="fundref-id">10.13039/100007225</named-content></contract-sponsor>
<contract-sponsor id="cn002">Kaohsiung Medical University Chung-Ho Memorial Hospital<named-content content-type="fundref-id">10.13039/501100011645</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="8"/>
<word-count count="5926"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>A <italic>post hoc</italic> analysis from the randomized controlled trial (RCT) of Enhanced Control of Hypertension and Thrombolysis Stroke (ENCHANTED) Study (<xref ref-type="bibr" rid="B1">1</xref>) indicated a significant interaction between the different doses of intravenous thrombolysis (IVT) and pre-treatment of antiplatelet (<xref ref-type="bibr" rid="B2">2</xref>). Compared to the standard dose of IVT with alteplase, the low-dose group showed increased favorable functional outcome after the pre-treatment with antiplatelets (<xref ref-type="bibr" rid="B2">2</xref>). They found that, the pre-treatment of antiplatelets with IVT revealed borderline significance for increased Symptomatic Intracranial Hemorrhage (SICH) (<xref ref-type="bibr" rid="B2">2</xref>) according to terms of the Safe Implementation of Thrombolysis in Stroke- Monitoring Study (SITS-MOST) criteria (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Previous studies on patients with acute ischemic stroke who were treated with IVT found a 2-fold risk of increased SICH with a single antiplatelet pre-treatment (<xref ref-type="bibr" rid="B4">4</xref>&#x02013;<xref ref-type="bibr" rid="B6">6</xref>), and 4- to 9-fold increased risk with dual antiplatelet pre-treatment (DAPP) (<xref ref-type="bibr" rid="B4">4</xref>&#x02013;<xref ref-type="bibr" rid="B6">6</xref>). This extremely high risk of increased SICH with DAPP was likely caused by selection bias. Two recent studies by Tsivgoulis et al. (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>) employed propensity score matching (PSM) to control the imbalance of the confounders between both the groups, with and without DAPP. Their results suggest that DAPP caused no significant increase in SICH by most standards except of the SITS-MOST criteria, and no significant improvement in the Favorable Functional Outcome (FFO) (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). A recent pooled analysis study showed similar findings at first (<xref ref-type="bibr" rid="B9">9</xref>); however, a recent letter to this study revealed that the pooled results were biased by duplicate data and disproved the major findings (<xref ref-type="bibr" rid="B10">10</xref>). They indicated that DAPP significantly increased SICH by deleting duplicate data (<xref ref-type="bibr" rid="B10">10</xref>). Thereafter, some issues remain to be answered. First, studies employing the PSM method focused on mild ischemic stroke severity with a National Institute of Health Stroke Scale (NIHSS) score of &#x0003C; 10 (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Second, there was a high heterogeneity in the definition of DAPP (including both aspirin &#x0002B; dipyridamole and aspirin &#x0002B; clopidogrel) and SICH standards in the pooled analysis (<xref ref-type="bibr" rid="B9">9</xref>). Third, we considered that older patients were more susceptible to bleeding with DAPP.</p>
<p>The aim of this study was to investigate whether pre-treatment with single antiplatelet, warfarin, and DAPP for acute ischemic stroke patients who were treated with IVT with the following characteristics: (1) older age, (2) moderate to high severity with high NIHSS score at baseline, and (3) the low-dose alteplase, imposed changed risk of SICH and the global functional outcomes.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Design and Patients</title>
<p>The Taiwan Thrombolytic Therapy for Acute Ischemic Stroke (TTT-AIS) study was a multicenter, prospective cohort design, which was conducted between December 1, 2004 and December 31, 2016, throughout all regions in Taiwan. A detailed description of the data collection of TTT-AIS has been published previously (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>). The TTT-AIS data sets include demographic characteristics, previous medical history, such as hypertension, diabetes mellitus, hyperlipidemia, atrial fibrillation, and alcoholism; time duration between stroke onset and IV thrombolysis; NIHSS at baseline; blood pressure at initial presentation; alteplase dose for IVT; levels of glucose, prothrombin time or international normalized ratio (INR), and activated partial thromboplastin time (aPTT) before IVT. All patients underwent brain computed tomography (CT) scans prior to IVT, and another brain CT scan was conducted within 24&#x02013;36 h post IVT. The indications and contraindications for IVT were referred to the SITS-MOST (<xref ref-type="bibr" rid="B13">13</xref>) study except an upper age limit of 80 years. Patients treated with oral anticoagulant (including warfarin) with INR &#x0003E;1.7 was excluded for IVT.</p>
<p>Patients were eligible for enrollment if they met the following inclusion criteria: (1) age &#x02265; 60 years, (2) clinical diagnosis of acute ischemic stroke with treatment of intravenous thrombolysis within 3 h of stroke onset, and (3) information on the antiplatelets or anticoagulants used before the stroke onset between December 1, 2004 and December 31, 2016. Based on this data, we categorized these patients into the 6 premedication groups: (1) aspirin use (ASA), (2) clopidogrel or ticlopidine use (P2Y12), (3) dual antiplatelets of aspirin and clopidogrel use (DAPP), (4) warfarin use (WAR), (5) any antiplatelet or anticoagulant use (Any AP/AC), and (6) no use of antiplatelets or anticoagulants (no AP/AC). This study was approved by the Institutional Review Board of Kaohsiung Medical University (reference number: KMUH-IRB-20140305). Informed consent was obtained from the patients prior to their inclusion in the study.</p>
</sec>
<sec>
<title>Outcome Measures</title>
<p>For the safety outcome, two standards for SICH were used: (1) the National Institute of Neurological Disorders and Stroke (NINDS) criteria (<xref ref-type="bibr" rid="B14">14</xref>); intracranial hemorrhage with an increase of NIHSS &#x02265; 1 point or death within 36 h, (2) the European-Australasian Acute Stroke Study II (ECASS II); (<xref ref-type="bibr" rid="B14">14</xref>) intracranial hemorrhage with deterioration of NIHSS &#x02265; 4 point or death compared with baseline NIHSS within 36 h. Functional outcomes were assessed according to the modified Rankin Scale (mRS) (<xref ref-type="bibr" rid="B15">15</xref>). For the efficacy outcome, two definitions of better outcomes were employed: the favorable functional outcome (FFO) was defined as mRS of 0&#x02013;1 at 90 days, and functional independence (FI) was taken as mRS of 0&#x02013;2 at 90 days. Mortality (mRS of 6) at 90 days was also assessed.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Continuous variables were compared using Student&#x00027;s <italic>t</italic>-test, while discrete variables were compared using the Chi-square or Fisher exact test. First, the associations among no AP/AC, prior AP/AC, and DAPP use on global functional outcome were analyzed using ordinal logistic regression analysis. Second, logistic regression was employed to estimate the OR (odds ratio) for outcome measures of SICH within 36 h of stroke onset and FFO, FI, and mortality at 90 days. The AP or AC na&#x000EF;ve (No AP/AC) group was used as the control group. In addition, multivariate regression models were applied to adjust for the characteristic difference between the premedication group and no AP/AC group. Statistical significance was defined as (two-tailed) <italic>P-</italic>value &#x0003C; 0.05. All analysis were performed with the SAS 9.4 software (SAS Institute, Cary, NC, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Characteristics of Enrolled Patients</title>
<p>A total of 1,156 patients aged &#x02265; 60 years were enrolled in this study (<xref ref-type="table" rid="T1">Table 1</xref>). Of these, 825 patients were categorized as having no AP/AC, and 331 were classified as having AP/AC. Of the any AP/ AC group, 213 patients were pre-treated with ASA, 37 with P2Y12, 27 with DAPP of ASA and clopidogrel, 44 with AC of warfarin, and 10 with other antiplatelets. Of the 10 patients, four patients were treated with dipyridamole and six stroke patients were with cilostazol, respectively (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). Of each group, the average age was in the range of 74&#x02013;77 years. Around 40% of the patients were female. Overall, age and sex distribution in the six groups were in fact homogenous without significant differences. Regarding medical comorbidities, the ASA group had higher proportions of hypertension and diabetes, and the WAR group had higher proportions of atrial fibrillation. Both the P2Y12 and DAPP groups showed no significant difference in medical comorbidity compared to the no AP/AC group. Laboratory tests of glucose, INR, aPTT, and blood pressure showed no statistical significance. Moreover, patients in all six groups had moderate to high severity of acute ischemic stroke at baseline (mean NIHSS between 13 and 16), and 70% of patients were treated with low-dose alteplase for IVT. The onset-to-needle time was approximately 120 min for each group.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of patients receiving antiplatelets and anticoagulants before intravenous thrombolysis (Total <italic>N</italic> = 1,156).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>ASA (<italic>n</italic> &#x0003D; 213)</bold></th>
<th valign="top" align="center"><bold>P2Y12 (<italic>n</italic> &#x0003D; 37)</bold></th>
<th valign="top" align="center"><bold>DAPP (<italic>n</italic> &#x0003D; 27)</bold></th>
<th valign="top" align="center"><bold>WAR (<italic>n</italic> &#x0003D; 44)</bold></th>
<th valign="top" align="center"><bold>Any AP/AC (<italic>n</italic> &#x0003D; 331)</bold></th>
<th valign="top" align="center"><bold>No AP/AC (<italic>n</italic> &#x0003D; 825)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">74.5 &#x000B1; 7.9</td>
<td valign="top" align="center">76.6 &#x000B1; 10.2</td>
<td valign="top" align="center">77.5 &#x000B1; 7.5</td>
<td valign="top" align="center">74.3 &#x000B1; 7.8</td>
<td valign="top" align="center">74.9 &#x000B1; 8.3</td>
<td valign="top" align="center">74.9 &#x000B1; 8.6</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Age groups (years)</bold></td>
</tr>
<tr>
<td valign="top" align="left">60&#x02013;69 years</td>
<td valign="top" align="center">30.5% (65/213)</td>
<td valign="top" align="center">32.4% (12/37)</td>
<td valign="top" align="center">18.5% (5/27)</td>
<td valign="top" align="center">34.1% (15/44)</td>
<td valign="top" align="center">30.8% (102/331)</td>
<td valign="top" align="center">30.2% (249/825)</td>
</tr>
<tr>
<td valign="top" align="left">70&#x02013;79 years</td>
<td valign="top" align="center">41.3% (88/213)</td>
<td valign="top" align="center">27.0% (10/37)</td>
<td valign="top" align="center">44.4% (12/27)</td>
<td valign="top" align="center">36.4% (16/44)</td>
<td valign="top" align="center">39.0% (129/331)</td>
<td valign="top" align="center">39.6% (327/825)</td>
</tr>
<tr>
<td valign="top" align="left">80&#x02013;89 years</td>
<td valign="top" align="center">24.4% (52/213)</td>
<td valign="top" align="center">29.7% (11/37)</td>
<td valign="top" align="center">33.3% (9/27)</td>
<td valign="top" align="center">27.3% (12/44)</td>
<td valign="top" align="center">25.7% (85/331)</td>
<td valign="top" align="center">24.9% (205/825)</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;90 years</td>
<td valign="top" align="center">3.8% (8/213)</td>
<td valign="top" align="center">10.8% (4/37)</td>
<td valign="top" align="center">3.7% (1/27)</td>
<td valign="top" align="center">2.3% (1/44)</td>
<td valign="top" align="center">4.5% (15/331)</td>
<td valign="top" align="center">5.3% (44/825)</td>
</tr>
<tr>
<td valign="top" align="left">Female sex (%)</td>
<td valign="top" align="center">39.0% (83/213)</td>
<td valign="top" align="center">32.4% (12/37)</td>
<td valign="top" align="center">48.2% (13/27)</td>
<td valign="top" align="center">43.2% (19/44)</td>
<td valign="top" align="center">39.9% (132/331)</td>
<td valign="top" align="center">39.5% (326/825)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Comorbidity (%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">83.1% (177/213)<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">83.8% (31/37)</td>
<td valign="top" align="center">59.3% (16/27)</td>
<td valign="top" align="center">65.9% (29/44)</td>
<td valign="top" align="center">78.9% (261/331)</td>
<td valign="top" align="center">74.4% (614/825)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">44.6% (95/213)<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">40.5% (15/37)</td>
<td valign="top" align="center">48.2% (13/27)</td>
<td valign="top" align="center">38.6% (17/44)</td>
<td valign="top" align="center">43.8% (145/331)<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">30.6% (252/825)</td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipidemia</td>
<td valign="top" align="center">27.2% (58/213)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">29.7% (11/37)</td>
<td valign="top" align="center">29.6% (8/27)</td>
<td valign="top" align="center">25.0% (11/44)</td>
<td valign="top" align="center">27.2% (90/331)<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">35.9% (296/825)</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="center">46.6% (90/193)</td>
<td valign="top" align="center">45.7% (16/35)</td>
<td valign="top" align="center">53.9% (14/26)</td>
<td valign="top" align="center">90.2% (37/41)<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">52.5% (159/303)<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">40.0% (303/757)</td>
</tr>
<tr>
<td valign="top" align="left">Alcoholism</td>
<td valign="top" align="center">5.6% (12/213)</td>
<td valign="top" align="center">8.1% (3/37)</td>
<td valign="top" align="center">11.1% (3/27)</td>
<td valign="top" align="center">4.6% (2/44)</td>
<td valign="top" align="center">6.3% (21/331)</td>
<td valign="top" align="center">4.9% (40/825)</td>
</tr>
<tr>
<td valign="top" align="left">Glucose (mg/dl)</td>
<td valign="top" align="center">151.8 &#x000B1; 53.9</td>
<td valign="top" align="center">156.0 &#x000B1; 49.0</td>
<td valign="top" align="center">183.7 &#x000B1; 95.5</td>
<td valign="top" align="center">141.9 &#x000B1; 52.1</td>
<td valign="top" align="center">153.2 &#x000B1; 57.7</td>
<td valign="top" align="center">148.4 &#x000B1; 69.8</td>
</tr>
<tr>
<td valign="top" align="left">Prothrombin time (INR)</td>
<td valign="top" align="center">1.02 &#x000B1; 0.11</td>
<td valign="top" align="center">1.00 &#x000B1; 0.07</td>
<td valign="top" align="center">0.99 &#x000B1; 0.11</td>
<td valign="top" align="center">1.13 &#x000B1; 0.21<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.03 &#x000B1; 0.13</td>
<td valign="top" align="center">1.02 &#x000B1; 0.10</td>
</tr>
<tr>
<td valign="top" align="left">aPTT</td>
<td valign="top" align="center">28.2 &#x000B1; 4.8</td>
<td valign="top" align="center">28.1 &#x000B1; 6.2</td>
<td valign="top" align="center">27.6 &#x000B1; 4.0</td>
<td valign="top" align="center">29.8 &#x000B1; 4.2</td>
<td valign="top" align="center">28.3 &#x000B1; 4.8</td>
<td valign="top" align="center">29.7 &#x000B1; 13.9</td>
</tr>
<tr>
<td valign="top" align="left">Systolic BP (mmHg)</td>
<td valign="top" align="center">158.2 &#x000B1; 28.2<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">159.1 &#x000B1; 27.4</td>
<td valign="top" align="center">162.9 &#x000B1; 29.5</td>
<td valign="top" align="center">152.4 &#x000B1; 31.0</td>
<td valign="top" align="center">157.7 &#x000B1; 28.5<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">164.9 &#x000B1; 29.6</td>
</tr>
<tr>
<td valign="top" align="left">Diastolic BP (mmHg)</td>
<td valign="top" align="center">88.9 &#x000B1; 19.1<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">87.9 &#x000B1; 18.5</td>
<td valign="top" align="center">89.4 &#x000B1; 18.3</td>
<td valign="top" align="center">88.9 &#x000B1; 21.3</td>
<td valign="top" align="center">88.8 &#x000B1; 19.0<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">92.0 &#x000B1; 19.2</td>
</tr>
<tr>
<td valign="top" align="left">Baseline NIHSS</td>
<td valign="top" align="center">13.1 &#x000B1; 6.6</td>
<td valign="top" align="center">14.5 &#x000B1; 7.0</td>
<td valign="top" align="center">15.5 &#x000B1; 5.1</td>
<td valign="top" align="center">15.9 &#x000B1; 7.7</td>
<td valign="top" align="center">13.8 &#x000B1; 6.8</td>
<td valign="top" align="center">13.9 &#x000B1; 7.2</td>
</tr>
<tr>
<td valign="top" align="left">Alteplase dose (mg/kg)</td>
<td valign="top" align="center">0.77 &#x000B1; 0.15<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.74 &#x000B1; 0.17</td>
<td valign="top" align="center">0.80 &#x000B1; 0.15</td>
<td valign="top" align="center">0.78 &#x000B1; 0.15</td>
<td valign="top" align="center">0.77 &#x000B1; 0.15<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.81 &#x000B1; 0.15</td>
</tr>
<tr>
<td valign="top" align="left">Standard dose</td>
<td valign="top" align="center">27.2% (58/213)</td>
<td valign="top" align="center">29.7% (11/37)</td>
<td valign="top" align="center">25.9% (7/27)</td>
<td valign="top" align="center">36.4% (16/44)</td>
<td valign="top" align="center">28.1% (93/331)</td>
<td valign="top" align="center">32.7% (270/825)</td>
</tr>
<tr>
<td valign="top" align="left">Low dose (&#x0003C;0.9 mg/kg)</td>
<td valign="top" align="center">72.8% (155/213)</td>
<td valign="top" align="center">70.3% (26/37)</td>
<td valign="top" align="center">74.1% (20/27)</td>
<td valign="top" align="center">63.6% (28/44)</td>
<td valign="top" align="center">71.9% (238/331)</td>
<td valign="top" align="center">67.3% (555/825)</td>
</tr>
<tr>
<td valign="top" align="left">Onset to needle time (min)</td>
<td valign="top" align="center">121.0 &#x000B1; 59.8</td>
<td valign="top" align="center">130.5 &#x000B1; 50.0</td>
<td valign="top" align="center">123.1 &#x000B1; 55.8</td>
<td valign="top" align="center">105.0 &#x000B1; 54.9</td>
<td valign="top" align="center">119.8 &#x000B1; 58.3</td>
<td valign="top" align="center">120.8 &#x000B1; 56.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>AC, anticoagulant; AP, antiplatelet; ASA, aspirin; aPTT, activated partial thromboplastin time; BP, blood pressure; DAPP, dual antiplatelet pre-treatment of aspirin and clopidogrel; INR, international normalized ratio; NIHSS, the National Institute of Health Stroke Scale; P2Y12, purinergic receptor P2Y12 inhibitor of clopidogrel and ticlopidine; WAR, warfarin</italic>.</p>
<p><italic>P-values indicate comparison of each AP/AC vs. No AP/AC (Student&#x00027;s t-test for continuous variable and Pearson Chi-squared test for categorical variables)</italic>.</p>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN2">
<label>&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.01</italic>,</p></fn>
<fn id="TN3">
<label>&#x0002A;&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.001</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Distribution of Global Functional Outcomes by Dosage of Alteplase</title>
<p>Global function outcomes for the three groups of no AP/AC, any AP/AC, and DAPP are shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. Compared to standard-dose alteplase, low-dose alteplase presented no significant increase in the ordinal mRS for no AP/AC (OR: 1.27, 95% CI, 0.96&#x02013;1.67), for any AP/AC (OR: 1.53, 95% CI, 0.93&#x02013;2.52), and for the DAPP group (OR: 2.12, 95% CI, 0.39&#x02013;11.67), respectively. However, a significant interaction was found between the dosage of alteplase and the use of DAPP (<italic>P</italic> = 0.0113). In the DAPP group, low-dose alteplase had a higher proportion of unfavorable functional outcomes and death.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Global functional outcomes at 90 days for groups of patients having pre-treatment without any antiplatelets or anticoagulants (no AP/AC), with any antiplatelets or anticoagulant (any AP/AC), and with dual antiplatelet (DAPP). &#x0002A;<italic>P</italic> &#x0003C; 0.05.</p></caption>
<graphic xlink:href="fneur-12-628077-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Outcome Measures of Safety</title>
<p>The outcome measures for each pre-treatment of the AP/AC groups are shown in <xref ref-type="table" rid="T2">Table 2</xref>. Except for the DAPP group, the cumulative incidence of SICH was &#x0007E;2&#x02013;5% by the NINDS and 1&#x02013;3% by the ECASS II standards for each group, respectively. The DAPP group showed an extremely high cumulative incidence of SICH (11.1 and 7.4% according to the NINDS and ECASS II criteria, respectively). Pre-treatment with single antiplatelet agents of ASA or P2Y12 or anticoagulant of warfarin consistently showed no significant increase in SICH in both the simple and multivariate logistic regression models. In contrast, the DAPP group exhibited a significantly higher risk of SICH by the NINDS (OR: 5.61, 95% CI, 1.55&#x02013;20.32, adjusted OR: 4.90, 95% CI, 1.28&#x02013;18.69 in the adjusted model) and the ECASS II standards (OR: 5.61, 95% CI, 1.55&#x02013;20.32 and adjusted OR: 4.90, 95% CI, 1.28&#x02013;18.69), respectively. Of the 10 patients with other antiplatelets, no patients developed SICH (<xref ref-type="supplementary-material" rid="SM1">supplementary Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Functional Outcome at 3 months (3 m).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Functional outcomes</bold></th>
<th valign="top" align="center"><bold>ASA (<italic>n</italic> &#x0003D; 188)</bold></th>
<th valign="top" align="center"><bold>P2Y12 (<italic>n</italic> &#x0003D; 32)</bold></th>
<th valign="top" align="center"><bold>DAPP (<italic>n</italic> &#x0003D; 22)</bold></th>
<th valign="top" align="center"><bold>WAR (<italic>n</italic> &#x0003D; 36)</bold></th>
<th valign="top" align="center"><bold>Any AP/ AC (<italic>n</italic> &#x0003D; 286)</bold></th>
<th valign="top" align="center"><bold>No AP/ AC (<italic>n</italic> &#x0003D; 682)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bcbdc0"><bold>SYMPTOMATIC INTRACRANIAL HEMORRHAGE (SICH)</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>SICH per NINDS</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>n</italic>/ total <italic>n</italic> (%)</td>
<td valign="top" align="center">3.3% (7/213)</td>
<td valign="top" align="center">5.4% (2/37)</td>
<td valign="top" align="center">11.1% (3/27)</td>
<td valign="top" align="center">2.3% (1/44)</td>
<td valign="top" align="center">3.9% (13/331)</td>
<td valign="top" align="center">2.2% (25/1,139)</td>
</tr>
<tr>
<td valign="top" align="left">OR (95% CI)</td>
<td valign="top" align="center">1.52 (0.63&#x02013;3.70)</td>
<td valign="top" align="center">2.56 (0.57&#x02013;11.48)</td>
<td valign="top" align="center">5.61 (1.55&#x02013;20.32)<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.04 (0.14&#x02013;7.99)</td>
<td valign="top" align="center">1.83 (0.89&#x02013;3.79)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left">Adjusted OR<xref ref-type="table-fn" rid="TN7"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">0.99 (0.38&#x02013;2.59)</td>
<td valign="top" align="center">1.95 (0.43&#x02013;8.84)</td>
<td valign="top" align="center">4.90 (1.28&#x02013;18.69)<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.83 (0.19&#x02013;6.94)</td>
<td valign="top" align="center">1.34 (0.62&#x02013;2.90)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>SICH per ECASS II</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>n</italic>/total <italic>n</italic> (%)</td>
<td valign="top" align="center">2.8% (6/213)</td>
<td valign="top" align="center">2.7% (1/37)</td>
<td valign="top" align="center">7.4% (2/27)</td>
<td valign="top" align="center">2.3% (1/44)</td>
<td valign="top" align="center">3.0% (10/331)</td>
<td valign="top" align="center">1.3% (11/825)</td>
</tr>
<tr>
<td valign="top" align="left">OR (95% CI)</td>
<td valign="top" align="center">2.15 (0.78&#x02013;5.87)</td>
<td valign="top" align="center">2.06 (0.26&#x02013;16.36)</td>
<td valign="top" align="center">5.92 (1.25&#x02013;28.13)<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.72 (0.22&#x02013;13.64)</td>
<td valign="top" align="center">2.31(0.97&#x02013;5.48)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left">Adjusted OR<xref ref-type="table-fn" rid="TN7"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">1.38 (0.46&#x02013;4.16)</td>
<td valign="top" align="center">1.68 (0.21&#x02013;13.69)</td>
<td valign="top" align="center">5.09 (1.01&#x02013;25.68)<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.97 (0.21&#x02013;18.75)</td>
<td valign="top" align="center">1.70(0.71&#x02013;4.51)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bcbdc0"><bold>FAVORABLE FUNCTIONAL OUTCOME (FFO)</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>mRS of 0&#x02013;1 at 90 days</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>n</italic>/ total <italic>n</italic> (%)</td>
<td valign="top" align="center">38.3% (72/188)</td>
<td valign="top" align="center">28.1% (9/32)</td>
<td valign="top" align="center">18.2% (4/22)</td>
<td valign="top" align="center">30.6% (11/36)</td>
<td valign="top" align="center">33.9% (97/286)</td>
<td valign="top" align="center">28.3% (193/682)</td>
</tr>
<tr>
<td valign="top" align="left">OR (95% CI)</td>
<td valign="top" align="center">1.57 (1.12&#x02013;2.21)<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.99 (0.45&#x02013;2.18)</td>
<td valign="top" align="center">0.56 (0.19&#x02013;1.69)</td>
<td valign="top" align="center">1.12 (0.54&#x02013;2.31)</td>
<td valign="top" align="center">1.30 (0.97&#x02013;1.75)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left">Adjusted OR<xref ref-type="table-fn" rid="TN7"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">1.91 (1.31&#x02013;2.78)<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.20 (0.51&#x02013;2.82)</td>
<td valign="top" align="center">0.66 (0.21&#x02013;2.06)</td>
<td valign="top" align="center">1.03 (0.43&#x02013;2.45)</td>
<td valign="top" align="center">1.51 (1.08&#x02013;2.10)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bcbdc0"><bold>FUNCTIONAL INDEPENDENCE (FI)</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>mRS of 0&#x02013;2 at 90 days</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>n</italic>/total <italic>n</italic> (%)</td>
<td valign="top" align="center">45.2% (85/188)</td>
<td valign="top" align="center">34.4% (11/32)</td>
<td valign="top" align="center">22.7% (17/22)</td>
<td valign="top" align="center">50.0% (18/36)</td>
<td valign="top" align="center">42.3% (121/286)</td>
<td valign="top" align="center">41.2% (281/682)</td>
</tr>
<tr>
<td valign="top" align="left">OR (95% CI)</td>
<td valign="top" align="center">1.18 (0.85&#x02013;1.63)</td>
<td valign="top" align="center">0.75 (0.36&#x02013;1.58)</td>
<td valign="top" align="center">0.42 (0.15&#x02013;1.15)</td>
<td valign="top" align="center">1.43 (0.73&#x02013;2.79)</td>
<td valign="top" align="center">1.05 (0.79&#x02013;1.38)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left">Adjusted OR<xref ref-type="table-fn" rid="TN7"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">1.39 (0.97&#x02013;1.99)</td>
<td valign="top" align="center">0.94 (0.42&#x02013;2.08)</td>
<td valign="top" align="center">0.54 (0.19&#x02013;1.55)</td>
<td valign="top" align="center">1.59 (0.75&#x02013;3.39)</td>
<td valign="top" align="center">1.19 (0.87&#x02013;1.62)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Death at 90 days</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>n</italic>/ total <italic>n</italic> (%)</td>
<td valign="top" align="center">7.5% (14/188)</td>
<td valign="top" align="center">15.6% (5/32)</td>
<td valign="top" align="center">36.4% (8/22)</td>
<td valign="top" align="center">8.3% (3/36)</td>
<td valign="top" align="center">10.5% (30/286)</td>
<td valign="top" align="center">10.6% (72/682)</td>
</tr>
<tr>
<td valign="top" align="left">OR (95% CI)</td>
<td valign="top" align="center">0.68 (0.38&#x02013;1.24)</td>
<td valign="top" align="center">1.57 (0.59&#x02013;4.20)</td>
<td valign="top" align="center">4.84 (1.96&#x02013;11.94)<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.77 (0.23&#x02013;2.58)</td>
<td valign="top" align="center">0.99 (0.63&#x02013;1.56)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
<tr>
<td valign="top" align="left">Adjusted OR<xref ref-type="table-fn" rid="TN7"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">0.68 (0.36&#x02013;1.29)</td>
<td valign="top" align="center">1.92 (0.70&#x02013;5.32)</td>
<td valign="top" align="center">4.75 (1.77&#x02013;12.72)<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.83 (0.24&#x02013;2.90)</td>
<td valign="top" align="center">0.99 (0.61&#x02013;1.61)</td>
<td valign="top" align="center">Ref. group</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>AC, anticoagulant; AP, antiplatelet; ASA, aspirin; DAPP, dual antiplatelet pre-treatment of aspirin and clopidogrel; ECASS II, the European-Australasian Acute Stroke Study II; FFO, favorable functional outcome; FI, functional independence; mRS, modified Rankin Scale; P2Y12, purinergic receptor P2Y12 inhibitor of clopidogrel and ticlopidine; NINDS, National Institute of Neurological Disorders and Stroke Study; SICH, symptomatic intracranial hemorrhage; War, warfarin; mRS, modified Rankin Scale; OR, odds ratio</italic>.</p>
<fn id="TN4">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN5">
<label>&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.01</italic>,</p></fn>
<fn id="TN6">
<label>&#x0002A;&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.001</italic>.</p></fn>
<fn id="TN7">
<label>&#x02020;</label>
<p><italic>Model adjusted for hypertension, diabetes, hyperlipidemia, atrial fibrillation, and alteplase dose</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Outcome Measures of Efficacy</title>
<p>For outcomes of FFO of mRS of 0&#x02013;1, the ASA group showed a greater number of patients with better functional outcome (38.3%) and the DAPP group showed a lower number of patients (18.2%). Among pre-treatment groups, the ASA group was the only one that showed significant improvements of FI (OR: 1.57, 95% CI, 1.12&#x02013;2.21, and adjusted OR: 1.91, 95% CI, 1.31&#x02013;2.78), respectively. Despite the DAPP group with a lower proportion of FFO, no significant difference was observed in the outcomes of FFO in comparison to the no AP/AC group. As for the FI of mRS of 0&#x02013;2, the trend was similar to that of FFO, but no significant difference was found among pre-treatment groups. For outcome of mortality, each group had &#x0003C;10% mortality, except for the P2Y12 (15.6%) and DAPP groups (36.4%). Of them, the DAPP group showed a significant 4- to 5-fold risk of mortality (OR: 4.84, 95% CI, 1.96&#x02013;11.94; adjusted OR: 4.75, 95% CI, 1.77&#x02013;12.72).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this study, we found a significant interaction between the dosage of alteplase and DAPP for the global functional outcome. In the DAPP group, low-dose alteplase had a higher proportion of unfavorable outcomes despite no significantly increased ordinal mRS. For the older adults, pre-treatment with ASA resulted in significant improvement of FFO but not FI. The DAPP group had lower proportions of better outcomes, but no significant difference in terms of FFO and FI compared to no AP/AC. However, DAPP was found to have a significantly increased 5-fold the risk of SICH with both NINDS and ECASS II standards. Mortality was found to be significantly increased by more than 4-fold in the DAPP group.</p>
<p>Our analysis was in line with most of the observational studies, which showed that prior dual antiplatelets increased the 4- to 9-fold risk of SICH (<xref ref-type="bibr" rid="B4">4</xref>&#x02013;<xref ref-type="bibr" rid="B6">6</xref>). In contrast, our results showed some disagreement from two recent studies employing propensity score matching (PSM) adjustment (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), which found that DAPP did not significantly increase SICH after adjustment for confounders. In fact, these studies employing PSM adjustment enrolled patients with mild severity of acute ischemic stroke (average NIHSS score of &#x0003C;10) (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), while we included patients with higher severity (mean NIHSS score of 13&#x02013;16). In addition, the control group showed different characteristics between these studies and ours (<xref ref-type="bibr" rid="B8">8</xref>). Their reference group included patients pre-treated with a single antiplatelet agent and no antiplatelets, whereas our reference group was treated without any AP/AC. Moreover, our patients were older. These characteristic differences between our enrolled patients and theirs, should cause the diverged results. On the other hand, the WAR group in our study showed no significant difference in comparison to no AP/AC. Since patients treated with warfarin with INR &#x0003E; 1.7 were excluded for IVT in our protocol, patients in the WAR group actually were below of their therapeutic range. This should explain the lower SICH rates in the WAR group.</p>
<p>Besides, this study revealed the real-world dosing patterns of IVT for eligible patients with acute ischemic stroke in Taiwan and other east Asian countries. In 2006, the Japan Alteplase Clinical Trial (J-ACT) showed equivalent efficacy and higher safety results of IV thrombolysis using alteplase at a dose of 0.6 mg/kg (<xref ref-type="bibr" rid="B16">16</xref>). Thereafter, the Japanese drug safety authority approved the dose. In 2010, an observational study in Taiwan (TTT-AIS) showed the standard dose of 0.9 mg/kg alteplase may not be optimal for aged population (<xref ref-type="bibr" rid="B11">11</xref>). In 2014, another study in Taiwan (TTT-AIS II) showed a lower dose of 0.6 mg/kg was associated with a better outcome for elderly (age group of 71&#x02013;80 years) as well (<xref ref-type="bibr" rid="B12">12</xref>). In the background, most of the neurologists in Taiwan tended to adopt a lower dose of alteplase for IV thrombolysis during our enrollment. On the other hand, in 2018, an another analysis for Taiwanese octogenarian stroke patients with higher severity (high NIHSS score of &#x02265; 14 at initial presentation) showed a standard dose of 0.9 mg/kg with higher rates of the FFO in comparison to lower dose of 0.6 mg/kg (<xref ref-type="bibr" rid="B17">17</xref>). For mild stroke (NIHSS score of 4&#x02013;8), both standard-dose and low-dose alteplase showed comparable rates of favorable functional outcomes, but low-dose alteplase for mild stroke showed much reduced mortality on day 90 for octogenarians (<xref ref-type="bibr" rid="B17">17</xref>). In our study, the stroke patient characteristics (<xref ref-type="table" rid="T1">Table 1</xref>) showed higher baseline severity (mean NIHSS score of 13&#x02013;15 for all pre-treatment groups). We considered a lower dose should be inadequate for the stroke patients with higher severity patients and the results showed higher death rates.</p>
<p>Our inclusion of stroke patients of &#x0003E;60 years for IVT should be representative of the majority stroke patients in Taiwan. The demographic data in Taiwan showed the incidence rates of first stroke for age below 60 years were extremely low (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Among the largest cohort of 8,562 stroke-free people in Taiwan followed for 4 years, the incidence rate of first stroke for age groups of 36&#x02013;44 and 45&#x02013;54 years were 2 per 100,000 and 12 per 100,000 person-years, respectively (<xref ref-type="bibr" rid="B18">18</xref>). The incidence rate of first stroke throughout all age groups was 104 per 100,000 person-years (<xref ref-type="bibr" rid="B18">18</xref>). In contrast, the incidence rate of first stroke for age groups of 55&#x02013;64, 65&#x02013;74, and over 75 years were, respectively, 41 per 100,000, 29 per 100,000 and 20 per 100,000 years (<xref ref-type="bibr" rid="B18">18</xref>). The proportion of first stroke incidence rate for age below 55 years in Taiwanese population was 13.5%.</p>
<p>The propensity score matching was not conducted in our study due to our multiple pre-treatment groups (five groups). Currently, methods of binary treatment (two groups) propensity scoring are well-developed and established completely (<xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B22">22</xref>). Methods of multinomial treatment (&#x0003E;2 groups) propensity scoring have been in the developing status and were increasing unstable with expanding the comparison groups since the current distance-based matching approach cannot be extended to more than three groups (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). Since we had five pre-treatment groups of ASA, P2Y12, DAPP, WAR, and any AP/AC, using the method of binary treatment propensity score matching would produce five reference groups of No AP/AC. The demographic and characteristic composition among the new five reference groups for those ASA, P2Y12, DAPP, WAR, and any AP/AC were totally different. The efficacy and safety outcome among the five pre-treatment groups were not comparable. To reasonably comparing with the five pre-treatment groups, we preferred to use method of multivariate logistic regression since they shared the same reference group.</p>
<p>Our studies have robust strengths and offer distinctive information. First, the patients enrolled were homogenous for the baseline demographic and medical characteristics among the six groups, such as age, sex, laboratory tests, alteplase dose, and the onset to needle time. Second, patients who were enrolled in the study had moderate to high baseline severity of acute ischemic stroke. Third, we found significant interactions between different doses of alteplase and DAPP. Fourth, we focused on older patients. This should offer the evidence that DAPP should still be cautious for older adults with acute ischemic stroke treated with IVT. Lastly, TTT-AIS was a multicenter study across all regions in Taiwan, and the representative nationwide cohort was used for analysis (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>). This study investigated the efficacy and safety of antithrombotic pre-treatment in real-life study model.</p>
<p>This study has some limitations. First, the prospective cohort study design in our study was still susceptible to residual confounding. Some unmeasured confounding effects were not controlled. In addition, the analysis in this study excluded patients aged &#x0003C;60 years, and these findings may not be applicable throughout all ages. Second, there were a small number of patients in the DAPP group (2.3%, <italic>n</italic> = 27) and therefore the outcomes of SICH per NINDS (three out of 27 patients, adjusted OR: 4.90, 95% CI 1.28&#x02013;18.69) and per ECASS II (two out of 27 patients, adjusted OR: 5.09, 95% CI: 1.01&#x02013;25.68) in the DAPP group showed wide confidence interval. Although the number of DAPP patients in this study was small, this low proportion reflects real-world conditions. Previous observational studies indicated that the proportion of DAPP ranged from 1.3 to 7.3% for all ischemic stroke patients treated with IVT. Third, warfarin group was not representative to those patients treated with sufficient dose of warfarin. Only stroke patients insufficiently treated with warfarin (INR &#x0003C;1.7) and IVT were included for this analysis. Lastly, some patients had incomplete follow-up at 90 days. In Taiwan, the prolonged hospital stay and readmission for stroke patients are serious problems. Since March 2014, the nationwide post-acute stroke care (PAC) program (<xref ref-type="bibr" rid="B26">26</xref>) was launched to improve the problems of shortage of acute beds, and overcrowded emergency departments. Stroke patients with stable neurological functional status for &#x02265;72 h and no uncontrolled complications were transferred to regional hospitals. Some patients participating in the PAC program were unwilling to be contacted. While the follow-up rates for groups of ASA, P2Y12, DAPP, and WAR groups were 88.3% (188/213), 86.5% (32/37), 81.5% (22/27), and 81.8% (36/44), the follow-rate for no AP/AC group was 82.7% (682/825). Theoretically, no differential incomplete follow-up (<xref ref-type="bibr" rid="B27">27</xref>) were found between groups with and without AP/AC pre-treatment, and the validity in our analysis was still assured.</p>
<p>In clinical practice, physicians should be cautious for older patients receiving DAPP before IVT. Since a significant interaction for functional outcome was noted between the different dosage of alteplase and use of DAPP (<xref ref-type="fig" rid="F1">Figure 1</xref>), standard-dose alteplase still could be considered for these stroke patients with high-risk and higher baseline severity. In our previous analysis for 249 old stroke patients over the age of 80 years, standard-dose alteplase was associated with an increased proportion of FI of mRS 0&#x02013;2 (34.8 vs. 22.2%) and a little increased mortality (13.5 vs. 9.3%) at 90 days (<xref ref-type="bibr" rid="B17">17</xref>). Nevertheless, the previous subgroup analysis for a total of 128 octogenarian patients of high severity (NIHSS &#x02265; 14) showed an increased proportion of FI of mRS 0&#x02013;2 (20.8 vs. 8.9%) and a near equivalent mortality (15.3 vs. 14.3%) (<xref ref-type="bibr" rid="B17">17</xref>). Although an early observational study of IVT in Japan showed similar functional outcomes and approved a low-dose IVT of 0.6 mg/kg (<xref ref-type="bibr" rid="B16">16</xref>), we did not recommend universal use of low-dose IVT for all older patients. Consequently, physicians should evaluate many factors of age, baseline stroke severity, comorbidities, and pre-treatment of antiplatelets and anticoagulants when prescribing the optimal dose of alteplase for acute ischemic stroke patients.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In conclusion, pre-treatment with ASA seems to improve functional outcomes in terms of FFO (mRS of 0&#x02013;1), but not of FI (mRS 0&#x02013;2). For older adults, DAPP increases the risk of SICH, especially for patients presenting themselves with moderate to high severity of acute ischemic stroke following IVT. In addition, DAPP increased the risk of mortality for older adults and showed no increase for the better outcomes in terms of FFO and FI. Nevertheless, DAPP still should not be the reason to hold IVT and to prescribe low-dose IVT in our analysis.</p>
</sec>
<sec sec-type="data-availability-statement" id="s6">
<title>Data Availability Statement</title>
<p>The datasets presented in this article are not readily available because distribution of dataset was restricted by Institutional Review Board of Kaohsiung Medical University. Requests to access the datasets should be directed to A-Ching Chao, <email>achch&#x00040;cc.kmu.edu.tw</email>.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Institutional Review Board of Kaohsiung Medical University. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>S-FL wrote the first draft of the manuscript. All authors contributed to the conception and design of the study, acquisition, analysis, and interpretation of data.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<sec sec-type="supplementary-material" id="s9">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fneur.2021.628077/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fneur.2021.628077/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn-group>
<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This study was supported by grants from the Ministry of Science and Technology (MOST) (Reference number: 108-2314-B-037-038-MY3) and Kaohsiung Medical University Hospital (Reference number: KMUH 108-8R61).</p></fn>
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