<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<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.2021.642426</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>Outcomes of Ischemic Stroke and Associated Factors Among Elderly Patients With Large-Artery Atherosclerosis: A Hospital-Based Follow-Up Study in China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Qianqian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cui</surname> <given-names>Jingjing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xie</surname> <given-names>Yuanli</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Min</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Huifang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname> <given-names>Xiaofei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jiang</surname> <given-names>Fenghua</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1173325/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Neurology, Dongying People&#x00027;s Hospital</institution>, <addr-line>Dongying</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Rehabilitation Medicine, Dongying People&#x00027;s Hospital</institution>, <addr-line>Dongying</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Mira Katan, University Hospital Z&#x000FC;rich, Switzerland</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Gian Marco De Marchis, University of Basel, Switzerland; Raffaele Ornello, University of L&#x00027;Aquila, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Fenghua Jiang <email>jfhjfh2020&#x00040;126.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>
<fn fn-type="other" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>04</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>642426</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>12</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>03</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Wu, Cui, Xie, Wang, Zhang, Hu and Jiang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Wu, Cui, Xie, Wang, Zhang, Hu and Jiang</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>Large-artery atherosclerotic (LAA) stroke is the most common subtype of ischemic stroke. However, risk factors for long-term outcomes of LAA stroke in the elderly Chinese population have not been well-described. Therefore, we aimed to assess outcomes and risk factors at 3, 12, and 36 months after LAA stroke onset among stroke patients aged 60 years and older. All consecutive LAA patients aged &#x02265; 60 years were prospectively recruited from Dongying People&#x00027;s Hospital between January 2016 and December 2018. The clinical features and outcome data at 3, 12, and 36 months after stroke were collected. Differences in outcomes and relationship between outcomes and risk factors were assessed. A total of 1,772 patients were included in our study (61.7% male, 38.3% female). The rates of mortality, recurrence, and dependency were 6.6, 12.6, and 12.6%, respectively, at 3 months after stroke onset. The corresponding rate rose rapidly at 36 months (23.2, 78.7, and 79.7%, respectively). We found the positive predictors associated outcomes at 3, 12, and 36 months after stroke onset. The relative risk (RR) with 95% confidential interval (CI) is 1.06 (1.02&#x02013;1.10, <italic>P</italic> = 0.006) at 3 months, 1.06 (1.02&#x02013;1.10, <italic>P</italic> = 0.003) at12 months, and 1.10 (1.05&#x02013;1.15, <italic>P</italic> &#x0003C; 0.001) at 36 months after stroke onset for age; 1.09 (1.01&#x02013;1.19, <italic>P</italic> = 0.029) at 12 months for fasting plasma glucose (FPG) level; 4.25 (2.14&#x02013;8.43, <italic>P</italic> &#x0003C; 0.001) at 3 months, 4.95 (2.70&#x02013;9.10, <italic>P</italic> &#x0003C; 0.001) at 12 months, and 4.82 (2.25&#x02013;10.32, <italic>P</italic> &#x0003C; 0.001) at 36 months for moderate stroke; 7.56 (3.42&#x02013;16.72, <italic>P</italic> &#x0003C; 0.001) at 3 months, 11.08 (5.26&#x02013;23.34, <italic>P</italic> &#x0003C; 0.001) at 12 months, and 14.30 (4.85&#x02013;42.11, <italic>P</italic> &#x0003C; 0.001) at 36 months for severe stroke, compared to mild stroke. Hypersensitive C-reactive protein (hs-CRP) level was an independent risk factor for mortality at different follow-up times, with the RR (95%) of 1.02 (1.01&#x02013;1.02, <italic>P</italic> &#x0003C; 0.001) at 3 months, 1.01 (1.00&#x02013;1.02, <italic>P</italic> = 0.002) at 12 months. White blood cell count (WBC) level was associated with both stroke recurrence (RR = 1.09, 95%CI: 1.01&#x02013;1.18, <italic>P</italic> = 0.023) and dependency (RR = 1.10, 95%CI: 1.02&#x02013;1.19, <italic>P</italic> = 0.018) at 3 months. In contrast, a higher level of low-density lipoprotein cholesterol (LDL-C) within the normal range was a protective factor for recurrence and dependency at shorter follow-up times, with the RR (95%) of 0.67 (0.51&#x02013;0.89, <italic>P</italic> = 0.005) and 0.67 (0.50&#x02013;0.88, <italic>P</italic> = 0.005), respectively. These findings suggest that it is necessary to control the risk factors of LAA to reduce the burden of LAA stroke. Especially, this study provides a new challenge to explore the possibility of lowering LDL-C level for improved stroke prognosis.</p></abstract>
<kwd-group>
<kwd>outcomes</kwd>
<kwd>ischemic stroke</kwd>
<kwd>risk factors</kwd>
<kwd>elderly</kwd>
<kwd>large-artery atherosclerosis</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="9"/>
<word-count count="6249"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Stroke affects more than 10 million people worldwide annually and is the second-most common cause of death and the third-most common cause of long-term disability (<xref ref-type="bibr" rid="B1">1</xref>). Stroke can seriously affect the quality of life of patients and initiates a heavy burden on the families of patients and society (<xref ref-type="bibr" rid="B2">2</xref>). Large-artery atherosclerotic (LAA) stroke is the most common subtype of ischemic stroke, especially among Asian population accounting for about 33%, moreover, LAA increasing fastest among all subtypes reaching 5.7% annually (<xref ref-type="bibr" rid="B3">3</xref>). Compared with other stroke mechanisms, patients with macrovascular atherosclerosis such as internal carotid artery, intracranial vessel, or posterior circulation atherosclerosis had the highest risk of first stroke and early stroke recurrence (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Underlying mechanisms of stroke caused by large atherosclerosis are diverse, including arterial-to-arterial emboli, <italic>in situ</italic> thromboembolism, hemodynamic impairment, and branching occlusive disease (BOD), and lesions could be in the lacunae, subcortical, cortical, or these bindings (<xref ref-type="bibr" rid="B6">6</xref>). Different studies on the prognosis and risk factors of ischemic stroke subtypes have shown that dyslipidemia, hypertension, diabetes, and obesity affect the prevalence of stroke and stroke-related mortality (<xref ref-type="bibr" rid="B7">7</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>). Other traditional cardiovascular risk factors such as sex, race, smoking, alcohol consumption, risk-reducing medication, blood glucose level, and obesity can also increase the progression of atherosclerosis and thus affect the prognosis of this subtype of stroke (<xref ref-type="bibr" rid="B10">10</xref>). Furthermore, homocysteine and hs-CRP levels have also predicted stroke-related mortality (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Although previous studies explored the prognostic outcomes of LAA stroke, few have explored the risk factors that affected the prognosis of this subtype of stroke among elderly patients. Therefore, we aimed to assess the outcomes and their risk factors at 3, 12, and 36 months after LAA stroke onset among stroke patients aged 60 years and older.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Participants</title>
<p>This was a prospective, single-center, hospital-based study that recruited patients from the stroke unit of Dongying People&#x00027;s Hospital, a tertiary general hospital in Shandong province, China, between January 2016 and December 2018, and all information of following-up was collected before January 2020. Consecutive patients who experienced a first LAA ischemic stroke were recruited. Patients who died before the imaging examination, those who experienced transient ischemic attack, and those under 60 years old were excluded.</p>
<p>The study was approved by the ethics committee for medical research at Dongying People&#x00027;s Hospital. Written informed consent was obtained from each participant during recruitment.</p></sec>
<sec>
<title>LAA Diagnosis Criteria</title>
<p>We selected LAA stroke [the Trial Org 10172 in Acute Stroke Treatment (TOAST) classification] patients who were diagnosed by clinicians according to the following criteria (<xref ref-type="bibr" rid="B13">13</xref>): (a) clinical findings include those of cerebral cortical impairment or brain stem or cerebellar dysfunction; (b) cortical or cerebellar lesions and brainstem or subcortical hemispheric infarcts &#x0003E; 1.5 cm in diameter on CT or MRI; and (c) supportive evidence by duplex imaging of a stenosis of &#x0003E;50% of an appropriate intracranial or extracranial artery.</p></sec>
<sec>
<title>Definitions of Clinical Features</title>
<p>Clinical features included stroke severity, stroke risk factors (hypertension, diabetes mellitus, atrial fibrillation, hyperlipidemia, obesity, current smoking, and drinking), neurological function scores [National Institutes of Health Stroke Scale (NIHSS), Barthel Index (BI), and modified Rankin Scale (mRS) scores], and laboratory test values [levels of fasting plasma glucose (FPG), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), high-sensitivity hypersensitive C-reactive protein (hs-CRP), white blood cell count (WBC), and blood platelets count (BPC)].</p>
<p>Stroke severity was categorized into three groups according to the National Institutes of Health Stroke Scale (NIHSS) score: mild (NIHSS score: &#x02264;7), moderate (NIHSS score: 8&#x02013;16), and severe (NIHSS score: &#x02265;17) (<xref ref-type="bibr" rid="B14">14</xref>). Hypertension was defined as systolic blood pressure &#x02265; 140 mmHg, diastolic blood pressure &#x02265; 90 mmHg, or taking medication for hypertension. Diabetes mellitus was defined as a FPG level &#x02265; 7.0 mmol/L or taking medication for diabetes. Obesity was defined as a body mass index of &#x02265; 28.0 kg/m<sup>2</sup>. Atrial fibrillation (AF) was defined as defined as a self-reported previous history of AF by patients or the presence of AF detected using 12-lead electrocardiography during hospitalization. Current smoking was defined as smoking &#x02265;1 cigarette per day for more than 1 year and current drinking as drinking alcohol at least once per week for more than 1 year.</p></sec>
<sec>
<title>Outcome Assessments</title>
<p>Outcomes included mortality, recurrence, and dependency at 3, 12, and 36 months after stroke onset. Mortality was defined as all-cause cumulative death during the follow-up period. Recurrence was defined as new-onset focal or global neurological dysfunction of vascular origin occurring &#x0003E;30 days after the initial stroke. Dependency was defined as an mRS score &#x0003E; 2.</p>
<p>Follow-up evaluations were conducted at 3, 12, and 36 months after stroke onset for all patients by the same trained senior neurologist in a face-to-face interview, except for patients who were re-examined in their local hospitals for whom information was collected by telephone. The investigator contacted the relatives or caregivers of survivors who could not be reached by telephone.</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>Continuous variables (age, FPG, TC, TG, hs-CRP, WBC, BPC, HDL-C, and LDL-C) are presented as means and standard deviation (SD). Categorical variables (stroke severity, hypertension, diabetes mellitus, obesity, current smoking, and current drinking) are presented as numbers with frequency. In the univariate analysis, continuous variables were compared with Student&#x00027;s <italic>t</italic>-tests and categorical variables were compared using chi-squared tests. In the multivariate analysis, dependent variables were stroke outcomes at 3, 12, and 36 months after stroke onset and the independent variable were variables which <italic>P</italic> &#x02264; 0.05 in the univariate analysis. The results of multivariate analysis were expressed as the adjusted relative risk (RR) and 95% confidence interval (CI). <italic>P</italic>-values &#x02264; 0.05 were considered statistically significant. SPSS for Windows (version 22.0; SPSS Inc., Chicago, IL, USA) was used for analyses.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Baseline Characteristics of Patients With LAA</title>
<p>In this study, a total of 1,772 patients (&#x02265;60 years) with LAA ischemic stroke were involved in this follow-up study. The mean age was 70.60 years; 1,094 (61.7%) patients were men, and 678 (38.3%) were women. According to stroke severity, patients were classified into three grades: 63.2% mild, 27.1% moderate, and 9.7% severe. The prevalence of hypertension, AF, diabetes, and hyperlipidemia at baseline was 75.6, 6.9, 34.0, and 26.2%, respectively, smoking and drinking rates were 32.8 and 14.7%, respectively. The rate of obesity for these individuals was 13.4% at baseline. Average laboratory test values were FPG, 6.89 &#x000B1; 2.92 mmol/L; TC, 4.92 &#x000B1; 1.13 mmol/L; TG, 1.51 &#x000B1; 1.01 mmol/L; HDL-C, 1.09 &#x000B1; 0.30 mmol/L; LDL-C, 2.96 &#x000B1; 0.88 mmol/L; and WBC, 7.78 &#x000B1; 2.65 &#x000D7; 10<sup>9</sup>/L (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline characteristics of patients with LAA stroke (age &#x02265; 60 years) stratified by sex group.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Men</bold></th>
<th valign="top" align="center"><bold>Women</bold></th>
<th valign="top" align="center"><bold>Total</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Case, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,094 (61.7)</td>
<td valign="top" align="center">678 (38.3)</td>
<td valign="top" align="center">1,772</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Stroke severity</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Mild</td>
<td valign="top" align="center">712 (65.1)</td>
<td valign="top" align="center">407 (60.0)</td>
<td valign="top" align="center">1,119 (63.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Moderate</td>
<td valign="top" align="center">290 (26.5)</td>
<td valign="top" align="center">190 (28.0)</td>
<td valign="top" align="center">480 (27.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Severe</td>
<td valign="top" align="center">91 (8.3)</td>
<td valign="top" align="center">81 (11.9)</td>
<td valign="top" align="center">172 (9.7)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Clinical risk factors</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Hypertension</td>
<td valign="top" align="center">774 (70.7)</td>
<td valign="top" align="center">566 (83.5)</td>
<td valign="top" align="center">1,340 (75.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Diabetes mellitus</td>
<td valign="top" align="center">333 (30.4)</td>
<td valign="top" align="center">270 (39.8)</td>
<td valign="top" align="center">603 (34.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Atrial fibrillation</td>
<td valign="top" align="center">66 (6.0)</td>
<td valign="top" align="center">56 (8.3)</td>
<td valign="top" align="center">122 (6.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Hyperlipoidemia</td>
<td valign="top" align="center">286 (26.1)</td>
<td valign="top" align="center">178 (26.3)</td>
<td valign="top" align="center">464 (26.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Obesity</td>
<td valign="top" align="center">100 (9.1)</td>
<td valign="top" align="center">138 (20.4)</td>
<td valign="top" align="center">238 (13.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Current smoking</td>
<td valign="top" align="center">487 (44.5)</td>
<td valign="top" align="center">95 (14.0)</td>
<td valign="top" align="center">582 (32.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Current drinking</td>
<td valign="top" align="center">250 (22.9)</td>
<td valign="top" align="center">10 (1.5)</td>
<td valign="top" align="center">260 (14.7)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Laboratory tests, mean (SD)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;FPG, mmol/L</td>
<td valign="top" align="center">6.71 (2.84)</td>
<td valign="top" align="center">7.16 (3.02)</td>
<td valign="top" align="center">6.89 (2.92)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;TC, mmol/L</td>
<td valign="top" align="center">4.65 (1.01)</td>
<td valign="top" align="center">5.38 (1.18)</td>
<td valign="top" align="center">4.92 (1.13)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;TG, mmol/L</td>
<td valign="top" align="center">1.41 (0.89)</td>
<td valign="top" align="center">1.68 (1.17)</td>
<td valign="top" align="center">1.51 (1.01)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;HDL-C, mmol/L</td>
<td valign="top" align="center">1.05 (0.30)</td>
<td valign="top" align="center">1.16 (0.29)</td>
<td valign="top" align="center">1.09 (0.30)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;LDL-C, mmol/L</td>
<td valign="top" align="center">2.80 (0.80)</td>
<td valign="top" align="center">3.21 (0.95)</td>
<td valign="top" align="center">2.96 (0.88)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;WBC,10<sup>9</sup>/L</td>
<td valign="top" align="center">7.86 (0.73)</td>
<td valign="top" align="center">7.63 (2.51)</td>
<td valign="top" align="center">7.78 (2.65)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;BPC, 10<sup>9</sup>/L</td>
<td valign="top" align="center">208.44 (93.32)</td>
<td valign="top" align="center">234.73 (71.64)</td>
<td valign="top" align="center">218.43 (86.65)</td>
</tr>
<tr>
<td valign="top" align="left">Age, year, mean (SD)</td>
<td valign="top" align="center">70.08 (7.59)</td>
<td valign="top" align="center">71.44 (7.38)</td>
<td valign="top" align="center">70.60 (7.54)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Neurological function, median (range)</bold></td>
</tr>
<tr>
<td valign="top" align="left">NIHSS</td>
<td valign="top" align="center">5.00 (8)</td>
<td valign="top" align="center">6.00 (8)</td>
<td valign="top" align="center">6.00 (8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;BI</td>
<td valign="top" align="center">60.00 (50)</td>
<td valign="top" align="center">55.00 (45)</td>
<td valign="top" align="center">50.00 (50)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;mRs</td>
<td valign="top" align="center">3.00 (2)</td>
<td valign="top" align="center">3.00 (2)</td>
<td valign="top" align="center">3.00 (2)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Of these patients, there were 93.5% (1,657/1,772), 88.3% (1,171/1,326), and 82.0% (341/416) patients finished the following-up at 3 months, 1 year, and 3 years after stroke, respectively.</p></sec>
<sec>
<title>Outcomes at 3, 12, and 36 Months After Stroke Onset</title>
<p>The rates of mortality, recurrence, and dependency rose rapidly after stroke onset. At 3 months after onset, the rates of mortality, recurrence, and dependency were 6.6, 12.6, and 12.6%, respectively, rising to 10.8, 34.3, and 33.0% at 12 months and 23.2, 78.7, and 79.7% at 36 months (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Factors associated with outcomes at 3-, 12-, and 36-month after stroke among patients with LAA by univariate analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>3 months</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>1 year</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>3 year</bold></th>
<th/>
<th/>
</tr>
<tr style="border-top: thin solid #000000;">
<th/>
<th valign="top" align="center"><bold>Mortality</bold></th>
<th valign="top" align="center"><bold>Recurrence</bold></th>
<th valign="top" align="center"><bold>Dependency</bold></th>
<th valign="top" align="center"><bold>Mortality</bold></th>
<th valign="top" align="center"><bold>Recurrence</bold></th>
<th valign="top" align="center"><bold>Dependency</bold></th>
<th valign="top" align="center"><bold>Mortality</bold></th>
<th valign="top" align="center"><bold>Recurrence</bold></th>
<th valign="top" align="center"><bold>Dependency</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total, <italic>n</italic> (%)</td>
<td valign="top" align="center">110 (6.6)</td>
<td valign="top" align="center">196 (12.6)</td>
<td valign="top" align="center">195 (12.6)</td>
<td valign="top" align="center">127 (10.8)</td>
<td valign="top" align="center">371 (34.3)</td>
<td valign="top" align="center">345 (33.0)</td>
<td valign="top" align="center">79 (23.2)</td>
<td valign="top" align="center">236 (78.7)</td>
<td valign="top" align="center">208 (79.7)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Sex</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Men</td>
<td valign="top" align="center">71 (6.9)</td>
<td valign="top" align="center">124 (13.0)</td>
<td valign="top" align="center">123 (12.9)</td>
<td valign="top" align="center">78 (10.9)</td>
<td valign="top" align="center">231 (35.2)</td>
<td valign="top" align="center">216 (34.0)</td>
<td valign="top" align="center">45 (22.1)</td>
<td valign="top" align="center">140 (79.1)</td>
<td valign="top" align="center">128 (80.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Women</td>
<td valign="top" align="center">39 (6.1)</td>
<td valign="top" align="center">72 (12.1)</td>
<td valign="top" align="center">72 (12.1)</td>
<td valign="top" align="center">49 (10.7)</td>
<td valign="top" align="center">140 (33.0)</td>
<td valign="top" align="center">129 (31.6)</td>
<td valign="top" align="center">34 (25.0)</td>
<td valign="top" align="center">96 (78.0)</td>
<td valign="top" align="center">80 (78.4)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Stroke severity</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Mild</td>
<td valign="top" align="center">24 (2.2)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">109 (10.3)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">108 (10.2)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">27 (3.6)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">217 (29.6)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">211 (29.0)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">17 (8.5)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">146 (75.3)</td>
<td valign="top" align="center">139 (76.0)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Moderate</td>
<td valign="top" align="center">45 (10.2)</td>
<td valign="top" align="center">68 (17.1)</td>
<td valign="top" align="center">68 (17.1)</td>
<td valign="top" align="center">53 (16.6)</td>
<td valign="top" align="center">121 (42.8)</td>
<td valign="top" align="center">111 (41.6)</td>
<td valign="top" align="center">39 (36.8)</td>
<td valign="top" align="center">74 (84.1)</td>
<td valign="top" align="center">58 (86.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Severe</td>
<td valign="top" align="center">41 (29.9)</td>
<td valign="top" align="center">18 (18.6)</td>
<td valign="top" align="center">18 (18.6)</td>
<td valign="top" align="center">47 (49.0)</td>
<td valign="top" align="center">32 (50.8)</td>
<td valign="top" align="center">22 (44.9)</td>
<td valign="top" align="center">23 (67.6)</td>
<td valign="top" align="center">16 (88.9)</td>
<td valign="top" align="center">11 (100)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Clinical risk factors</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">86 (6.9)</td>
<td valign="top" align="center">158 (13.6)</td>
<td valign="top" align="center">158 (13.6)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">101 (11.7)</td>
<td valign="top" align="center">284 (35.8)</td>
<td valign="top" align="center">263 (34.5)</td>
<td valign="top" align="center">60 (24.4)</td>
<td valign="top" align="center">168 (78.9)</td>
<td valign="top" align="center">150 (80.6)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">33 (5.9)</td>
<td valign="top" align="center">62 (11.8)</td>
<td valign="top" align="center">62 (11.8)</td>
<td valign="top" align="center">45 (11.5)</td>
<td valign="top" align="center">124 (34.0)</td>
<td valign="top" align="center">111 (31.9)</td>
<td valign="top" align="center">30 (24.4)</td>
<td valign="top" align="center">89 (80.9)</td>
<td valign="top" align="center">78 (83.9)</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="center">14 (12.6)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">17 (17.3)</td>
<td valign="top" align="center">17 (17.3)</td>
<td valign="top" align="center">18 (22.5)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">31 (45.6)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">27 (43.5)</td>
<td valign="top" align="center">8 (36.4)</td>
<td valign="top" align="center">16 (84.2)</td>
<td valign="top" align="center">13 (92.9)</td>
</tr>
<tr>
<td valign="top" align="left">Obesity</td>
<td valign="top" align="center">17 (7.8)</td>
<td valign="top" align="center">21 (10.4)</td>
<td valign="top" align="center">21 (10.4)</td>
<td valign="top" align="center">18 (12.6)</td>
<td valign="top" align="center">50 (38.5)</td>
<td valign="top" align="center">46 (36.8)</td>
<td valign="top" align="center">14 (28.6)</td>
<td valign="top" align="center">38 (88.4)</td>
<td valign="top" align="center">31 (88.6)</td>
</tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td valign="top" align="center">25 (4.7)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">65 (12.7)</td>
<td valign="top" align="center">64 (12.5)</td>
<td valign="top" align="center">25 (7.1)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">109 (32.8)</td>
<td valign="top" align="center">105 (32.1)</td>
<td valign="top" align="center">15 (16.9)</td>
<td valign="top" align="center">61 (75.3)</td>
<td valign="top" align="center">55 (74.3)</td>
</tr>
<tr>
<td valign="top" align="left">Current drinking</td>
<td valign="top" align="center">8 (3.3)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">30 (12.8)</td>
<td valign="top" align="center">29 (12.3)</td>
<td valign="top" align="center">9 (5.2)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">50 (30.3)</td>
<td valign="top" align="center">49 (30.1)</td>
<td valign="top" align="center">6 (14.0)</td>
<td valign="top" align="center">33 (80.5)</td>
<td valign="top" align="center">29 (78.4)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Laboratory tests, mean (SD)</bold></td>
</tr>
<tr>
<td valign="top" align="left">FPG, mmol/L</td>
<td valign="top" align="center">7.91 (3.43)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">7.38 (3.57)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">7.39 (3.58)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">7.86 (3.42)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">6.83 (3.11)</td>
<td valign="top" align="center">6.79 (3.11)</td>
<td valign="top" align="center">7.26 (3.43)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">6.38 (2.26)</td>
<td valign="top" align="center">6.31 (2.02)</td>
</tr>
<tr>
<td valign="top" align="left">TC, mmol/L</td>
<td valign="top" align="center">4.96 (1.25)</td>
<td valign="top" align="center">4.91 (1.23)</td>
<td valign="top" align="center">4.91 (1.23)</td>
<td valign="top" align="center">4.99 (1.28)</td>
<td valign="top" align="center">4.89 (1.07)</td>
<td valign="top" align="center">4.87 (1.06)</td>
<td valign="top" align="center">5.10 (1.23)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">4.86 (1.01)</td>
<td valign="top" align="center">4.80 (1.01)</td>
</tr>
<tr>
<td valign="top" align="left">TG, mmol/L</td>
<td valign="top" align="center">1.28 (0.68)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.50 (0.84)</td>
<td valign="top" align="center">1.51 (0.84)</td>
<td valign="top" align="center">1.41 (1.02)</td>
<td valign="top" align="center">1.50 (1.03)</td>
<td valign="top" align="center">1.46 (0.96)</td>
<td valign="top" align="center">1.22 (0.59)</td>
<td valign="top" align="center">1.40 (0.78)</td>
<td valign="top" align="center">1.41 (0.80)</td>
</tr>
<tr>
<td valign="top" align="left">HDL-C, mmol/L</td>
<td valign="top" align="center">1.16 (0.56)</td>
<td valign="top" align="center">1.13 (0.28)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.14 (0.28)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.15 (0.52)</td>
<td valign="top" align="center">1.10 (0.28)</td>
<td valign="top" align="center">1.10 (0.29)</td>
<td valign="top" align="center">1.13 (0.31)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.03 (0.26)</td>
<td valign="top" align="center">1.02 (0.26)</td>
</tr>
<tr>
<td valign="top" align="left">LDL-C, mmol/L</td>
<td valign="top" align="center">3.09 (1.03)</td>
<td valign="top" align="center">2.83 (0.87)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">2.83 (0.87)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.10 (1.05)</td>
<td valign="top" align="center">2.99 (0.86)</td>
<td valign="top" align="center">2.99 (0.86)</td>
<td valign="top" align="center">3.28 (1.03)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.10 (0.84)</td>
<td valign="top" align="center">3.06 (0.84)</td>
</tr>
<tr>
<td valign="top" align="left">WBC,10<sup>9</sup>/L</td>
<td valign="top" align="center">9.70 (3.35)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">8.11 (3.47)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">8.12 (3.48)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">9.39 (3.36)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">7.96 (3.13)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">7.84 (3.06)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">9.09 (3.08)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">7.48 (2.97)</td>
<td valign="top" align="center">7.33 (2.97)</td>
</tr>
<tr>
<td valign="top" align="left">BPC, 10<sup>9</sup>/L</td>
<td valign="top" align="center">211.48 (80.32)</td>
<td valign="top" align="center">219.58 (78.01)</td>
<td valign="top" align="center">220.22 (77.71)</td>
<td valign="top" align="center">213.70 (88.84)</td>
<td valign="top" align="center">214.06 (72.61)</td>
<td valign="top" align="center">211.96 (68.05)</td>
<td valign="top" align="center">219.43 (82.40)</td>
<td valign="top" align="center">214.80 (69.76)</td>
<td valign="top" align="center">210.86 (65.82)</td>
</tr>
<tr>
<td valign="top" align="left">HCY, &#x003BC;mol/L</td>
<td valign="top" align="center">14.51 (8.54)</td>
<td valign="top" align="center">14.80 (10.18)</td>
<td valign="top" align="center">14.84 (10.21)</td>
<td valign="top" align="center">15.18 (9.38)</td>
<td valign="top" align="center">16.32 (12.83)</td>
<td valign="top" align="center">16.21 (12.89)</td>
<td valign="top" align="center">16.41 (13.69)</td>
<td valign="top" align="center">14.80 (11.02)</td>
<td valign="top" align="center">14.33 (9.64)</td>
</tr>
<tr>
<td valign="top" align="left">hs-CRP, mmol/L</td>
<td valign="top" align="center">40.07 (56.06)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">15.58 (29.47)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">15.70 (29.58)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">35.77 (55.15)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">13.64 (30.63)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">12.55 (27.43)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">25.70 (44.43)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">8.50 (20.44)</td>
<td valign="top" align="center">7.91 (19.29)</td>
</tr>
<tr>
<td valign="top" align="left">Age at onset, year,<break/> mean (SD)</td>
<td valign="top" align="center">74.32 (8.16)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">71.39 (8.12)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">71.44 (8.11)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">73.72 (7.87)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">71.17 (7.34)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">71.23 (7.42)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">73.32 (7.65)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">70.55 (6.75)</td>
<td valign="top" align="center">70.32 (6.70)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>Univariate Factors Associated With Stroke-Related Outcomes</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows that stroke severity, FPG level, hs-CRP level, WBC, and age were significantly correlated with 3-, 12-, and 36-month mortality (all <italic>P</italic> &#x0003C; 0.001 at 3- and 12-month; <italic>P</italic> &#x0003C; 0.001, <italic>P</italic> = 0.005, <italic>P</italic> &#x0003C; 0.001, <italic>P</italic> &#x0003C; 0.001, and <italic>P</italic> &#x0003C; 0.001 at 36-month). Smoking, drinking, and AF were associated with 3- and 12-month mortality (<italic>P</italic> = 0.025, <italic>P</italic> = 0.024, and <italic>P</italic> = 0.009 at 3-month; <italic>P</italic> = 0.007, <italic>P</italic> = 0.010, and <italic>P</italic> = 0.001 at 12-month). Moreover, TC, HDL-C, and LDL-C levels were correlated with 36-month mortality (<italic>P</italic> = 0.028, <italic>P</italic> = 0.004, and <italic>P</italic> = 0.050, respectively).</p>
<p>Stroke severity, hs-CRP level, WBC, and age were correlated with 3- and 12-month recurrence (<italic>P</italic> &#x0003C; 0.001, <italic>P</italic> = 0.005, <italic>P</italic> = 0.004, and <italic>P</italic> = 0.010 at 3-month; <italic>P</italic> &#x0003C; 0.001, <italic>P</italic> = 0.001, <italic>P</italic> = 0.002, and <italic>P</italic> &#x0003C; 0.001 at 12-month). FPG and HDL-C, and LDL-C were correlated with 3-month recurrence. Moreover, AF was associated with 12-month recurrence (<italic>P</italic> = 0.043). However, no risk factors were found associated with recurrence at 36 months after stroke onset.</p>
<p>Stroke severity was correlated with 3-, 12-, and 36-month dependence (all <italic>P</italic> &#x0003C; 0.001). Hypersensitive CRP level, WBC, and age were associated with 3- and 12-month dependence (<italic>P</italic> = 0.005, <italic>P</italic> = 0.003, and <italic>P</italic> = 0.007 at 3-month; <italic>P</italic> = 0.002, <italic>P</italic> = 0.018, and <italic>P</italic> &#x0003C; 0.001 at 12-month). Hypertension and FPG, HDL-C, and LDL-C levels were associated with 3-month dependence (<italic>P</italic> = 0.039, <italic>P</italic> = 0.004, <italic>P</italic> = 0.013, and <italic>P</italic> = 0.044, respectively).</p></sec>
<sec>
<title>Predictors of Outcomes in the Multivariate Analysis</title>
<sec>
<title>Mortality</title>
<p>In the multivariate analysis, both stroke severity and older age were associated with higher risk of mortality at 3, 12, and 36 months after stroke onset. Compared with mildly affected stroke patients, severely affected stroke increased mortality risk 6.56-fold (95% CI: 3.42&#x02013;16.72, <italic>P</italic> &#x0003C; 0.001) at 3 months and 13.3-fold (95% CI: 4.85&#x02013;42.11, <italic>P</italic> &#x0003C; 0.001) at 36 months after stroke onset. For each 1-year increased in age, mortality risk increased 6% at 3 months (95% CI: 1.02&#x02013;1.10, <italic>P</italic> = 0.006) and 10% at 36 months after stroke onset. Moreover, AF increased 1.77-fold mortality risk (95% CI: 1.29&#x02013;5.94, <italic>P</italic> = 0.009) only at 12 months. In addition, higher FPG (95% CI: 1.01&#x02013;1.19, <italic>P</italic> = 0.029) and hs-CRP (95% CI: 1.00&#x02013;1.02, <italic>P</italic> = 0.002) levels were also risk factors of mortality at 12 months after stroke onset (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Predictors of mortality at 3, 12, and 36 months after stroke in the multivariate analysis.</p></caption>
<graphic xlink:href="fneur-12-642426-g0001.tif"/>
</fig></sec>
<sec>
<title>Recurrence</title>
<p>The hazard of mortality 3 months after stroke was associated with a higher FPG level (RR = 1.11, 95% CI: 1.04&#x02013;1.18, <italic>P</italic> = 0.001), LDL-C level (RR = 0.67, 95% CI: 0.51&#x02013;0.89, <italic>P</italic> = 0.005), WBC (RR = 1.09, 95% CI: 1.01&#x02013;1.18, <italic>P</italic> = 0.023), and older age (RR = 1.06, 95% CI: 1.02&#x02013;1.09, <italic>P</italic> = 0.001). The risk of 12-month recurrence in moderately affected and severely affected patients were 1.59-fold (95% CI: 1.12&#x02013;2.25, <italic>P</italic> = 0.009) and 2-fold higher (95% CI: 1.07&#x02013;3.74, <italic>P</italic> = 0.030) than in mildly affected patients. For each 1 &#x000D7; 10<sup>9</sup>/L increase in WBC, the risk of recurrence increased 6% (95% CI: 1.00&#x02013;1.13, <italic>P</italic> = 0.050); for each 1-year increase in age, the risk of recurrence increased 3% (95% CI: 1.01&#x02013;1.05, <italic>P</italic> = 0.005) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Predictors of recurrence at 3, 12, and 36 months after stroke in the multivariate analysis.</p></caption>
<graphic xlink:href="fneur-12-642426-g0002.tif"/>
</fig></sec>
<sec>
<title>Dependence</title>
<p>For each unit increase in FPG and LDL-C levels and WBC, the risk of 3-month dependency increased 11% (95% CI: 1.04&#x02013;1.18, <italic>P</italic> = 0.001), decreased 33% (95% CI: 0.50&#x02013;0.88, <italic>P</italic> = 0.005), and increased 10% (95% CI: 1.02&#x02013;1.19, <italic>P</italic> = 0.018), respectively. The risk of 12-month dependency in moderately affected patients was 54% higher than in mildly affected patients (95% CI: 1.08&#x02013;2.20, <italic>P</italic> = 0.018). Moreover, older age increased the risk of dependency at both 3 months (RR = 1.06, 95% CI: 1.03&#x02013;1.10, <italic>P</italic> &#x0003C; 0.001) and 12 months (RR = 1.04, 95% CI: 1.01&#x02013;1.06, <italic>P</italic> = 0.002) after stroke onset (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Predictors of dependency at 3, 12, and 36 months after stroke in the multivariate analysis.</p></caption>
<graphic xlink:href="fneur-12-642426-g0003.tif"/>
</fig></sec></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This was a hospital-based follow-up study that explored outcomes and associated risk factors of LAA stroke in China in patients aged 60 years and older. The rates of mortality, recurrence, and dependency all dramatically increased between 3 and 36 months after stroke onset. Factors associated with this increase included older age, higher FPG levels, and stroke severity. Moreover, hs-CRP was an independent risk factor for mortality at 12 months after stroke onset. Furthermore, WBC level was associated with both stroke recurrence and dependency. In contrast, a higher LDL-C level was a protective factor for recurrence and dependency in short times.</p>
<p>Different cohort studies and population studies in Africa, such as TSIP, INTERSTROKE, and SIREN, have shown that older age was the strongest, immutable risk factor for stroke, and similar results have been reported for developed countries (<xref ref-type="bibr" rid="B15">15</xref>). Stroke involves cerebral vessel arteriosclerosis, which is a silent progressive process that can begin early in life and usually develops with age (<xref ref-type="bibr" rid="B16">16</xref>). Two hospital-based studies have shown that age was an important inverse predictor of functional recovery after ischemic stroke for 3 months, independent of stroke severity, characteristics, and complications, while the association of age with prognostic outcome is non-linear and extends to young stroke patients (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Other studies that examined risk factors for stroke subtypes based on the TOAST classification revealed that age was independently associated with short term (90-day) mortality in patients with LAA stroke (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B19">19</xref>). The Atherosclerosis Risk in Communities (ARIC) study also reported that age was an independent risk factor for non-lacunar ischemic stroke subtypes after long term follow-up (<xref ref-type="bibr" rid="B20">20</xref>). Consistent with previous results, our study also clearly showed that older age increased the risk of outcomes at short and long term after the onset of LAA stroke, further validating the effect of age on the prognosis of this subtype of stroke.</p>
<p>Stroke severity was another important risk factor for stroke outcomes. One clinical trial included 1,281 stroke patients and used the TOAST classification to classify stroke and NIHSS to quantify neurological impairment at baseline. The results showed that NIHSS scores strongly predicted the likelihood of recovery in patients after stroke. Scores &#x02265;16 indicated higher likelihood of death or severe disability, while score &#x02264; 6 indicated good recovery (<xref ref-type="bibr" rid="B21">21</xref>). A study in Italy also showed that NIHSS score was an important predictor of functional decline at 3 months (<xref ref-type="bibr" rid="B17">17</xref>). A study of gender differences in China also found that stroke severity was an independent risk factor for mortality, dependence, and recurrence in men and women at 3 and 12 months after stroke (<xref ref-type="bibr" rid="B22">22</xref>). In our study, the results showed an increased risk of prognosis (mortality, recurrence, and dependence) in moderate and severe relative to mild stroke over three periods. These results all confirmed that baseline NIHSS scores could be used as predictors of outcome after stroke.</p>
<p>Previous studies reported that high FPG level was correlated with poor outcomes of ischemic stroke (<xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). A study reported that acute ischemic stroke patients with a favorable neurologic outcome (90-day mRS scores &#x02264; 2) had a significantly lower baseline FPG level than those with an unfavorable neurologic outcome (6.6 &#x000B1; 1.96 vs. 8.12 &#x000B1; 4.02; <italic>P</italic> = 0.002) (<xref ref-type="bibr" rid="B24">24</xref>). The 6.5-year prospective Northern Manhattan Study (NOMAS) reported that diabetic subjects with elevated FPG level [HR 2.7 (95% CI 2.0&#x02013;3.8)] were at increased risk of stroke, but those with a target FPG level (&#x0003C;7.0 mmol/L) were not, even after adjustment (<xref ref-type="bibr" rid="B26">26</xref>). Patients with type 2 diabetes were more likely to suffer from obesity, transient ischemic attack, and stroke caused by LAA and had a worse prognosis than in patients without diabetes (<xref ref-type="bibr" rid="B27">27</xref>). Moreover, increased FPG level on admission has been associated with poorer functional outcomes, irrespective of diabetes status after an acute ischemic stroke (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>). Another study showed that the risk of ischemic stroke increased by 8.5% for each 1 mmol/L increase in FPG level, even in non-diabetic patients (<xref ref-type="bibr" rid="B23">23</xref>). The results of the present study showed that elevated FPG level was an independent risk factor for 3- and 12-month outcomes, further illustrating that high FPG level is a strong prediction factor for poor outcomes of LAA stroke; accordingly, early intervention and management should be considered to improve LAA stroke prognosis.</p>
<p>Increasing evidence suggests that inflammation is a key process in the pathogenesis of atherosclerosis. After acute stroke, CRP level is elevated due to tissue injury and infection, proportional to the severity of acute events. In addition, CRP level had the greatest increase in patients with LAA stroke, and baseline CRP level can independently predict the risk of stroke recurrence (<xref ref-type="bibr" rid="B31">31</xref>). Furthermore, serum hs-CRP level was associated with morphological characteristics of rapidly progressing carotid atherosclerosis, suggesting that hs-CRP level was a sensitive marker of the presence of active atherosclerotic disease (<xref ref-type="bibr" rid="B32">32</xref>). Furthermore, in a case-control study, serum CRP level in patients with all ischemic stroke subtypes were significantly higher in both the acute phase and at 3-month follow-up (<xref ref-type="bibr" rid="B33">33</xref>). Rost et al. found that high serum CRP level can predict the future risk of ischemic stroke in elderly patients (<xref ref-type="bibr" rid="B34">34</xref>). Another marker of inflammatory response is the leukocyte level. Compared with the quartile with lowest leukocyte counts at baseline, patients in the top quartile had higher risks for ischemic stroke (<xref ref-type="bibr" rid="B35">35</xref>). Evaluating WBC level was also related with both poor short- and long-term outcomes (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). The association was strongest for those with LAA stroke compared with other subtypes (adjusted hazard ratio 1.48, 0.98&#x02013;2.24) (<xref ref-type="bibr" rid="B38">38</xref>). The present results further suggest that CRP is an independent risk factors for mortality (both short- and long-term) and that WBC level is associated with both stroke recurrence and dependency, adding new evidence for the role of CRP and WBC level in stroke prognosis.</p>
<p>The relationships between LDL-C levels and stroke outcomes remain controversial. A study explored a population with higher LDL cholesterol that was &#x0003E;15 times more likely to have ischemic stroke than in a control group (<xref ref-type="bibr" rid="B39">39</xref>). Similarly, another showed that a LDL-C level of &#x02265;2.6 mmol/L at admission was an independent risk factor for intracranial atherosclerotic stroke (<xref ref-type="bibr" rid="B9">9</xref>). In contrast, other studies reported no clear relationship between LDL-C and ischemic stroke (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Moreover, in contrast to the present results, a multi-center retrospective study revealed that compared with lower LDL-C levels, levels in the third quartile were less likely to exhibit unfavorable outcomes after ischemic stroke (<xref ref-type="bibr" rid="B42">42</xref>). Another national cohort study also supports this point, reporting that among the middle-aged and elderly Chinese population, a lower LDL-C level was associated with increased all-cause mortality risk (<xref ref-type="bibr" rid="B43">43</xref>). The current results suggest that LDL-C is a protective factor for short-term recurrence and dependence after stroke onset. Regardless, the average LDL-C level at baseline was classified as normal (&#x0003C;3.36 mmol/L) according to NCEP ATP III criteria (<xref ref-type="bibr" rid="B44">44</xref>). It may be that among patients with normal LDL-C levels, a higher level may be negatively associated with stroke outcomes: this hypothesis requires further prospective and well-designed studies for validation.</p>
<p>There are several limitations in the current study. First, the data in our study were collected from a single center in northern China, which may limit the generalization of our results. Moreover, patients recruited in our study were limited 60 years and older, comparisons between the present study and previous ones are limited by the age. Third, all the influencing factors were collected and measured at admission, and no follow-up information was available. Third, we were unable to analyze the impact of other risk factors such as medication adherence after discharge for prognosis. However, these factors have little impact on our current findings. Future studies need to refine information concerning changes in risk factors and drug administration during follow-up. Finally, we did not collect information about lipid lowering drugs, which may affect our evaluation on the association between LDL-C and outcomes.</p></sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In conclusion, this was a hospital-based study that explored outcomes and associated risk factors among old Chinese LAA stroke patients. Older age, higher FPG level, and stroke severity were independent risk factors for mortality, recurrence, and dependence in LAA stroke. In addition, WBC was a risk factor for recurrence and dependency. Moreover, higher LDL-C level may reduce the risk of short-term recurrence and dependence following stroke in China. Therefore, it is necessary to control risk factors for LAA to reduce the burden of LAA stroke. In particular, this study provides a new challenge to determine whether lowering LDL-C level may improve stroke prognosis.</p></sec>
<sec sec-type="data-availability-statement" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by The Ethics Committee for medical research at Dongying People&#x00027;s Hospital. The patients/participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s8">
<title>Author Contributions</title>
<p>FJ contributed to the study design, performed data collection, data interpretation, critical review, and performed data analysis. QW and JC contributed to drafting of the article. QW, JC, YX, MW, HZ, and XH performed data collection, case diagnoses, and confirmation of case diagnoses. All authors read, revised, and approved the final version of the paper.</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>
<ack><p>We thank all participants for their efforts in this study.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wafa</surname> <given-names>HA</given-names></name> <name><surname>Wolfe</surname> <given-names>C</given-names></name> <name><surname>Bhalla</surname> <given-names>A</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name></person-group>. <article-title>Long-term trends in death and dependence after ischaemic strokes: a retrospective cohort study using the South London Stroke Register (SLSR)</article-title>. <source>PLoS Med</source>. (<year>2020</year>) <volume>17</volume>:<fpage>e1003048</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pmed.1003048</pub-id><pub-id pub-id-type="pmid">32163411</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname> <given-names>W</given-names></name> <name><surname>Li</surname> <given-names>S</given-names></name> <name><surname>San</surname> <given-names>F</given-names></name> <name><surname>Zhang</surname> <given-names>S</given-names></name> <name><surname>Shen</surname> <given-names>Q</given-names></name> <name><surname>Guo</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Retrospective analysis of prognosis and risk factors of patients with stroke by TOAST</article-title>. <source>Medicine (Baltimore)</source>. (<year>2018</year>) <volume>97</volume>:<fpage>e0412</fpage>. <pub-id pub-id-type="doi">10.1097/MD.0000000000010412</pub-id><pub-id pub-id-type="pmid">29642209</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ornello</surname> <given-names>R</given-names></name> <name><surname>Degan</surname> <given-names>D</given-names></name> <name><surname>Tiseo</surname> <given-names>C</given-names></name> <name><surname>Di Carmine</surname> <given-names>C</given-names></name> <name><surname>Perciballi</surname> <given-names>L</given-names></name> <name><surname>Pistoia</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Distribution and temporal trends from 1993 to 2015 of ischemic stroke subtypes: a systematic review and meta-analysis</article-title>. <source>Stroke</source>. (<year>2018</year>) <volume>49</volume>:<fpage>814</fpage>&#x02013;<lpage>19</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.117.020031</pub-id><pub-id pub-id-type="pmid">29535272</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Starostka-Tatar</surname> <given-names>A</given-names></name> <name><surname>&#x00141;abuz-Roszak</surname> <given-names>B</given-names></name> <name><surname>Skrzypek</surname> <given-names>M</given-names></name> <name><surname>Lasek-Bal</surname> <given-names>A</given-names></name> <name><surname>Gasior</surname> <given-names>M</given-names></name> <name><surname>Gierlotka</surname> <given-names>M</given-names></name></person-group>. <article-title>Characteristics of hospitalizations due to acute stroke in the Silesian Province, Poland, between 2009 and 2015</article-title>. <source>Neurol Neurochir Pol</source>. (<year>2018</year>) <volume>52</volume>:<fpage>252</fpage>&#x02013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.1016/j.pjnns.2017.11.010</pub-id><pub-id pub-id-type="pmid">29221869</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lange</surname> <given-names>MC</given-names></name> <name><surname>Ribas</surname> <given-names>G</given-names></name> <name><surname>Scavasine</surname> <given-names>V</given-names></name> <name><surname>Ducci</surname> <given-names>RS-P</given-names></name> <name><surname>Mendes</surname> <given-names>DC</given-names></name> <name><surname>Z&#x000E9;tola</surname> <given-names>VHF</given-names></name> <etal/></person-group>. <article-title>Stroke recurrence in the different subtypes of ischemic stroke. The importance of the intracranial disease</article-title>. <source>Arq Neuropsiquiatr</source>. (<year>2018</year>) <volume>76</volume>:<fpage>649</fpage>&#x02013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1590/0004-282x20180095</pub-id><pub-id pub-id-type="pmid">30427503</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marulanda-Londo&#x000F1;o</surname> <given-names>E</given-names></name> <name><surname>Chaturvedi</surname> <given-names>S</given-names></name></person-group>. <article-title>Stroke due to large vessel atherosclerosis: five new things</article-title>. <source>Neurol Clin Pract</source>. (<year>2016</year>) <volume>6</volume>:<fpage>252</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1212/CPJ.0000000000000247</pub-id><pub-id pub-id-type="pmid">29443138</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cant&#x000FA;-Brito</surname> <given-names>C</given-names></name> <name><surname>Ruiz-Sandoval</surname> <given-names>JL</given-names></name> <name><surname>Murillo-Bonilla</surname> <given-names>LM</given-names></name> <name><surname>Chiquete</surname> <given-names>E</given-names></name> <name><surname>Le&#x000F3;n-Jim&#x000E9;nez</surname> <given-names>C</given-names></name> <name><surname>Arauz</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Acute care and one-year outcome of Mexican patients with first-ever acute ischemic stroke: the PREMIER study</article-title>. <source>Rev Neurol</source>. (<year>2010</year>) <volume>51</volume>:<fpage>641</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="pmid">21108226</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Deleu</surname> <given-names>D</given-names></name> <name><surname>Inshasi</surname> <given-names>J</given-names></name> <name><surname>Akhtar</surname> <given-names>N</given-names></name> <name><surname>Ali</surname> <given-names>J</given-names></name> <name><surname>Vurgese</surname> <given-names>T</given-names></name> <name><surname>Ali</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Risk factors, management and outcome of subtypes of ischemic stroke: a stroke registry from the Arabian Gulf</article-title>. <source>J Neurol Sci.</source> (<year>2011</year>) <volume>300</volume>:<fpage>142</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.jns.2010.08.023</pub-id><pub-id pub-id-type="pmid">20875650</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lei</surname> <given-names>C</given-names></name> <name><surname>Wu</surname> <given-names>B</given-names></name> <name><surname>Liu</surname> <given-names>M</given-names></name> <name><surname>Chen</surname> <given-names>Y</given-names></name></person-group>. <article-title>Risk factors and clinical outcomes associated with intracranial and extracranial atherosclerotic stenosis acute ischemic stroke</article-title>. <source>J Stroke Cerebrovasc Dis</source>. (<year>2014</year>) <volume>23</volume>:<fpage>1112</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.jstrokecerebrovasdis.2013.09.024</pub-id><pub-id pub-id-type="pmid">24189455</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qu</surname> <given-names>B</given-names></name> <name><surname>Qu</surname> <given-names>T</given-names></name></person-group>. <article-title>Causes of changes in carotid intima-media thickness: a literature review</article-title>. <source>Cardiovasc Ultrasound</source>. (<year>2015</year>) <volume>13</volume>:<fpage>46</fpage>. <pub-id pub-id-type="doi">10.1186/s12947-015-0041-4</pub-id></citation>
</ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shi</surname> <given-names>Z</given-names></name> <name><surname>Guan</surname> <given-names>Y</given-names></name> <name><surname>Huo</surname> <given-names>YR</given-names></name> <name><surname>Liu</surname> <given-names>S</given-names></name> <name><surname>Zhang</surname> <given-names>M</given-names></name> <name><surname>Lu</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Elevated total homocysteine levels in acute ischemic stroke are associated with long-term mortality</article-title>. <source>Stroke.</source> (<year>2015</year>) <volume>46</volume>:<fpage>2419</fpage>&#x02013;<lpage>25</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.115.009136</pub-id><pub-id pub-id-type="pmid">26199315</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname> <given-names>D</given-names></name> <name><surname>Hu</surname> <given-names>D</given-names></name> <name><surname>Zhang</surname> <given-names>Q</given-names></name> <name><surname>Sun</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name></person-group>. <article-title>Increased high-sensitivity C-reactive protein, erythrocyte sedimentation rate and lactic acid in stroke patients with internal carotid artery occlusion</article-title>. <source>Arch Med Sci</source>. (<year>2016</year>) <volume>12</volume>:<fpage>546</fpage>&#x02013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.5114/aoms.2014.47879</pub-id><pub-id pub-id-type="pmid">27279846</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Adams</surname> <given-names>HP</given-names> <suffix>Jr.</suffix></name> <name><surname>Bendixen</surname> <given-names>BH</given-names></name> <name><surname>Kappelle</surname> <given-names>LJ</given-names></name> <name><surname>Biller</surname> <given-names>J</given-names></name> <name><surname>Love</surname> <given-names>BB</given-names></name> <name><surname>Gordon</surname> <given-names>DL</given-names></name> <etal/></person-group>. <article-title>Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment</article-title>. <source>Stroke</source>. (<year>1993</year>) <volume>24</volume>:<fpage>35</fpage>&#x02013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1161/01.STR.24.1.35</pub-id><pub-id pub-id-type="pmid">7678184</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>JS</given-names></name> <name><surname>Lee</surname> <given-names>KB</given-names></name> <name><surname>Roh</surname> <given-names>H</given-names></name> <name><surname>Ahn</surname> <given-names>MY</given-names></name> <name><surname>Hwang</surname> <given-names>HW</given-names></name></person-group>. <article-title>Gender differences in the functional recovery after acute stroke</article-title>. <source>J Clin Neurol</source>. (<year>2010</year>) <volume>6</volume>:<fpage>183</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.3988/jcn.2010.6.4.183</pub-id><pub-id pub-id-type="pmid">21264198</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Akinyemi</surname> <given-names>RO</given-names></name> <name><surname>Owolabi</surname> <given-names>MO</given-names></name> <name><surname>Ihara</surname> <given-names>M</given-names></name> <name><surname>Damasceno</surname> <given-names>A</given-names></name> <name><surname>Ogunniyi</surname> <given-names>A</given-names></name> <name><surname>Dotchin</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Stroke, cerebrovascular diseases and vascular cognitive impairment in Africa</article-title>. <source>Brain Res Bull</source>. (<year>2019</year>) <volume>145</volume>:<fpage>97</fpage>&#x02013;<lpage>108</lpage>. <pub-id pub-id-type="doi">10.1016/j.brainresbull.2018.05.018</pub-id><pub-id pub-id-type="pmid">29807146</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Scheen</surname> <given-names>AJ</given-names></name></person-group>. <article-title>From atherosclerosis to atherothrombosis: from a silent chronic pathology to an acute critical event</article-title>. <source>Rev Med Liege</source>. (<year>2018</year>) <volume>73</volume>:<fpage>224</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="pmid">29926559</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Turcato</surname> <given-names>G</given-names></name> <name><surname>Cervellin</surname> <given-names>G</given-names></name> <name><surname>Cappellari</surname> <given-names>M</given-names></name> <name><surname>Bonora</surname> <given-names>A</given-names></name> <name><surname>Zannoni</surname> <given-names>M</given-names></name> <name><surname>Bovi</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Early function decline after ischemic stroke can be predicted by a nomogram based on age, use of thrombolysis, RDW and NIHSS score at admission</article-title>. <source>J Thromb Thrombolysis.</source> (<year>2017</year>) <volume>43</volume>:<fpage>394</fpage>&#x02013;<lpage>400</lpage>. <pub-id pub-id-type="doi">10.1007/s11239-016-1456-y</pub-id><pub-id pub-id-type="pmid">27838806</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Knoflach</surname> <given-names>M</given-names></name> <name><surname>Matosevic</surname> <given-names>B</given-names></name> <name><surname>R&#x000FC;cker</surname> <given-names>M</given-names></name> <name><surname>Furtner</surname> <given-names>M</given-names></name> <name><surname>Mair</surname> <given-names>A</given-names></name> <name><surname>Wille</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Functional recovery after ischemic stroke&#x02013;a matter of age: data from the Austrian Stroke Unit Registry</article-title>. <source>Neurology</source>. (<year>2012</year>) <volume>78</volume>:<fpage>279</fpage>&#x02013;<lpage>85</lpage>. <pub-id pub-id-type="doi">10.1212/WNL.0b013e31824367ab</pub-id></citation>
</ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Soriano-T&#x000E1;rraga</surname> <given-names>C</given-names></name> <name><surname>Giralt-Steinhauer</surname> <given-names>E</given-names></name> <name><surname>Mola-Caminal</surname> <given-names>M</given-names></name> <name><surname>Ois</surname> <given-names>A</given-names></name> <name><surname>Rodr&#x000ED;guez-Campello</surname> <given-names>A</given-names></name> <name><surname>Cuadrado-Godia</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Biological age is a predictor of mortality in ischemic stroke</article-title>. <source>Sci Rep</source>. (<year>2018</year>) <volume>8</volume>:<fpage>4148</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-018-22579-0</pub-id><pub-id pub-id-type="pmid">29515201</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ohira</surname> <given-names>T</given-names></name> <name><surname>Shahar</surname> <given-names>E</given-names></name> <name><surname>Chambless</surname> <given-names>LE</given-names></name> <name><surname>Rosamond</surname> <given-names>WD</given-names></name> <name><surname>Mosley</surname> <given-names>TH</given-names> <suffix>Jr.</suffix></name> <name><surname>Folsom</surname> <given-names>AR</given-names></name></person-group>. <article-title>Risk factors for ischemic stroke subtypes: the atherosclerosis risk in communities study</article-title>. <source>Stroke</source>. (<year>2006</year>) <volume>37</volume>:<fpage>2493</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1161/01.STR.0000239694.19359.88</pub-id><pub-id pub-id-type="pmid">16931783</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Adams</surname> <given-names>HP</given-names> <suffix>Jr.</suffix></name> <name><surname>Davis</surname> <given-names>PH</given-names></name> <name><surname>Leira</surname> <given-names>EC</given-names></name> <name><surname>Chang</surname> <given-names>KC</given-names></name> <name><surname>Bendixen</surname> <given-names>BH</given-names></name> <name><surname>Clarke</surname> <given-names>WR</given-names></name> <etal/></person-group>. <article-title>Baseline NIH stroke scale score strongly predicts outcome after stroke: a report of the trial of org 10172 in acute stroke treatment (TOAST)</article-title>. <source>Neurology</source>. (<year>1999</year>) <volume>53</volume>:<fpage>126</fpage>&#x02013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1212/WNL.53.1.126</pub-id><pub-id pub-id-type="pmid">10408548</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zou</surname> <given-names>C</given-names></name> <name><surname>Wei</surname> <given-names>C</given-names></name> <name><surname>Wang</surname> <given-names>Z</given-names></name> <name><surname>Jin</surname> <given-names>Y</given-names></name></person-group>. <article-title>Sex differences in outcomes and risk factors among elderly patients with ischemic stroke</article-title>. <source>Oncotarget</source>. (<year>2017</year>) <volume>8</volume>:<fpage>104582</fpage>&#x02013;<lpage>93</lpage>. <pub-id pub-id-type="doi">10.18632/oncotarget.21967</pub-id><pub-id pub-id-type="pmid">29262663</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xing</surname> <given-names>L</given-names></name> <name><surname>Liu</surname> <given-names>S</given-names></name> <name><surname>Tian</surname> <given-names>Y</given-names></name> <name><surname>Yan</surname> <given-names>H</given-names></name> <name><surname>Jing</surname> <given-names>L</given-names></name> <name><surname>Chen</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>C-R relationship between fasting plasma glucose and unfavorable outcomes in patients of ischemic stroke without diabetes</article-title>. <source>J Stroke Cerebrovasc Dis</source>. (<year>2019</year>) <volume>28</volume>:<fpage>1400</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.jstrokecerebrovasdis.2019.02.009</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>F</given-names></name> <name><surname>Jiang</surname> <given-names>B</given-names></name> <name><surname>Kanesan</surname> <given-names>L</given-names></name> <name><surname>Zhao</surname> <given-names>Y</given-names></name> <name><surname>Yan</surname> <given-names>B</given-names></name></person-group>. <article-title>Higher admission fasting plasma glucose levels are associated with a poorer short-term neurologic outcome in acute ischemic stroke patients with good collateral circulation</article-title>. <source>Acta Diabetol</source>. (<year>2018</year>) <volume>55</volume>:<fpage>703</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1007/s00592-018-1139-6</pub-id><pub-id pub-id-type="pmid">29651557</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yao</surname> <given-names>T</given-names></name> <name><surname>Zhan</surname> <given-names>Y</given-names></name> <name><surname>Shen</surname> <given-names>J</given-names></name> <name><surname>Xu</surname> <given-names>L</given-names></name> <name><surname>Peng</surname> <given-names>B</given-names></name> <name><surname>Cui</surname> <given-names>Q</given-names></name> <etal/></person-group>. <article-title>Association between fasting blood glucose and outcomes and mortality in acute ischaemic stroke patients with diabetes mellitus: a retrospective observational study in Wuhan, China</article-title>. <source>BMJ Open</source>. (<year>2020</year>) <volume>10</volume>:<fpage>e037291</fpage>. <pub-id pub-id-type="doi">10.1136/bmjopen-2020-037291</pub-id><pub-id pub-id-type="pmid">32580989</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boden-Albala</surname> <given-names>B</given-names></name> <name><surname>Cammack</surname> <given-names>S</given-names></name> <name><surname>Chong</surname> <given-names>J</given-names></name> <name><surname>Wang</surname> <given-names>C</given-names></name> <name><surname>Wright</surname> <given-names>C</given-names></name> <name><surname>Rundek</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Diabetes, fasting glucose levels, and risk of ischemic stroke and vascular events: findings from the Northern Manhattan study (NOMAS)</article-title>. <source>Diabetes Care</source>. (<year>2008</year>) <volume>31</volume>:<fpage>1132</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.2337/dc07-0797</pub-id><pub-id pub-id-type="pmid">18339972</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Putaala</surname> <given-names>J</given-names></name> <name><surname>Liebkind</surname> <given-names>R</given-names></name> <name><surname>Gordin</surname> <given-names>D</given-names></name> <name><surname>Thorn</surname> <given-names>LM</given-names></name> <name><surname>Haapaniemi</surname> <given-names>E</given-names></name> <name><surname>Forsblom</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Diabetes mellitus and ischemic stroke in the young: clinical features and long-term prognosis</article-title>. <source>Neurology</source>. (<year>2011</year>) <volume>76</volume>:<fpage>1831</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1212/WNL.0b013e31821cccc2</pub-id><pub-id pub-id-type="pmid">21606455</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mandava</surname> <given-names>P</given-names></name> <name><surname>Martini</surname> <given-names>SR</given-names></name> <name><surname>Munoz</surname> <given-names>M</given-names></name> <name><surname>Dalmeida</surname> <given-names>W</given-names></name> <name><surname>Sarma</surname> <given-names>AK</given-names></name> <name><surname>Anderson</surname> <given-names>JA</given-names></name> <etal/></person-group>. <article-title>Hyperglycemia worsens outcome after rt-PA primarily in the large-vessel occlusive stroke subtype</article-title>. <source>Transl Stroke Res</source>. (<year>2014</year>) <volume>5</volume>:<fpage>519</fpage>&#x02013;<lpage>25</lpage>. <pub-id pub-id-type="doi">10.1007/s12975-014-0338-x</pub-id><pub-id pub-id-type="pmid">24699843</pub-id></citation></ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Masrur</surname> <given-names>S</given-names></name> <name><surname>Cox</surname> <given-names>M</given-names></name> <name><surname>Bhatt</surname> <given-names>DL</given-names></name> <name><surname>Smith</surname> <given-names>EE</given-names></name> <name><surname>Ellrodt</surname> <given-names>G</given-names></name> <name><surname>Fonarow</surname> <given-names>GC</given-names></name> <etal/></person-group>. <article-title>Association of acute and chronic hyperglycemia with acute ischemic stroke outcomes post-thrombolysis: findings from get with the guidelines-stroke</article-title>. <source>J Am Heart Assoc</source>. (<year>2015</year>) <volume>4</volume>:<fpage>e002193</fpage>. <pub-id pub-id-type="doi">10.1161/JAHA.115.002193</pub-id><pub-id pub-id-type="pmid">26408015</pub-id></citation></ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gofir</surname> <given-names>A</given-names></name> <name><surname>Mulyono</surname> <given-names>B</given-names></name> <name><surname>Sutarni</surname> <given-names>S</given-names></name></person-group>. <article-title>Hyperglycemia as a prognosis predictor of length of stay and functional outcomes in patients with acute ischemic stroke</article-title>. <source>Int J Neurosci</source>. (<year>2017</year>) <volume>127</volume>:<fpage>923</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1080/00207454.2017.1280793</pub-id><pub-id pub-id-type="pmid">28074658</pub-id></citation></ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kelly</surname> <given-names>PJ</given-names></name> <name><surname>Murphy</surname> <given-names>S</given-names></name> <name><surname>Coveney</surname> <given-names>S</given-names></name> <name><surname>Purroy</surname> <given-names>F</given-names></name> <name><surname>Lemmens</surname> <given-names>R</given-names></name> <name><surname>Tsivgoulis</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Anti-inflammatory approaches to ischaemic stroke prevention</article-title>. <source>J Neurol Neurosurg Psychiatry</source>. (<year>2018</year>) <volume>89</volume>:<fpage>211</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1136/jnnp-2016-314817</pub-id><pub-id pub-id-type="pmid">28935831</pub-id></citation></ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schillinger</surname> <given-names>M</given-names></name> <name><surname>Exner</surname> <given-names>M</given-names></name> <name><surname>Mlekusch</surname> <given-names>W</given-names></name> <name><surname>Sabeti</surname> <given-names>S</given-names></name> <name><surname>Amighi</surname> <given-names>J</given-names></name> <name><surname>Nikowitsch</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Inflammation and carotid artery&#x02013;risk for atherosclerosis study (ICARAS)</article-title>. <source>Circulation</source>. (<year>2005</year>) <volume>111</volume>:<fpage>2203</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1161/01.CIR.0000163569.97918.C0</pub-id><pub-id pub-id-type="pmid">15851593</pub-id></citation></ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ladenvall</surname> <given-names>C</given-names></name> <name><surname>Jood</surname> <given-names>K</given-names></name> <name><surname>Blomstrand</surname> <given-names>C</given-names></name> <name><surname>Nilsson</surname> <given-names>S</given-names></name> <name><surname>Jern</surname> <given-names>C</given-names></name> <name><surname>Ladenvall</surname> <given-names>P</given-names></name></person-group>. <article-title>Serum C-reactive protein concentration and genotype in relation to ischemic stroke subtype</article-title>. <source>Stroke</source>. (<year>2006</year>) <volume>37</volume>:<fpage>2018</fpage>&#x02013;<lpage>23</lpage>. <pub-id pub-id-type="doi">10.1161/01.STR.0000231872.86071.68</pub-id><pub-id pub-id-type="pmid">16809555</pub-id></citation></ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rost</surname> <given-names>NS</given-names></name> <name><surname>Wolf</surname> <given-names>PA</given-names></name> <name><surname>Kase</surname> <given-names>CS</given-names></name> <name><surname>Kelly-Hayes</surname> <given-names>M</given-names></name> <name><surname>Silbershatz</surname> <given-names>H</given-names></name> <name><surname>Massaro</surname> <given-names>JM</given-names></name> <etal/></person-group>. <article-title>Plasma concentration of C-reactive protein and risk of ischemic stroke and transient ischemic attack: the Framingham study</article-title>. <source>Stroke</source>. (<year>2001</year>) <volume>32</volume>:<fpage>2575</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1161/hs1101.098151</pub-id><pub-id pub-id-type="pmid">11692019</pub-id></citation></ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Grau</surname> <given-names>AJ</given-names></name> <name><surname>Boddy</surname> <given-names>AW</given-names></name> <name><surname>Dukovic</surname> <given-names>DA</given-names></name> <name><surname>Buggle</surname> <given-names>F</given-names></name> <name><surname>Lichy</surname> <given-names>C</given-names></name> <name><surname>Brandt</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Leukocyte count as an independent predictor of recurrent ischemic events</article-title>. <source>Stroke</source>. (<year>2004</year>) <volume>35</volume>:<fpage>1147</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1161/01.STR.0000124122.71702.64</pub-id><pub-id pub-id-type="pmid">15017013</pub-id></citation></ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Quan</surname> <given-names>K</given-names></name> <name><surname>Wang</surname> <given-names>A</given-names></name> <name><surname>Zhang</surname> <given-names>X</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name></person-group>. <article-title>Leukocyte count and adverse clinical outcomes in acute ischemic stroke patients</article-title>. <source>Front Neurol</source>. (<year>2019</year>) <volume>10</volume>:<fpage>1240</fpage>. <pub-id pub-id-type="doi">10.3389/fneur.2019.01240</pub-id><pub-id pub-id-type="pmid">32038447</pub-id></citation></ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>WY</given-names></name> <name><surname>Peng</surname> <given-names>TI</given-names></name> <name><surname>Weng</surname> <given-names>WC</given-names></name> <name><surname>Chien</surname> <given-names>YY</given-names></name> <name><surname>Wu</surname> <given-names>CL</given-names></name> <name><surname>Lee</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Higher leukocyte count is associated with higher risk of 3-year mortality in non-diabetic patients with first-ever ischemic stroke</article-title>. <source>J Neurol Sci</source>. (<year>2012</year>) <volume>316</volume>:<fpage>93</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.jns.2012.01.018</pub-id><pub-id pub-id-type="pmid">22336697</pub-id></citation></ref>
<ref id="B38">
<label>38.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Elkind</surname> <given-names>MS</given-names></name> <name><surname>Sciacca</surname> <given-names>RR</given-names></name> <name><surname>Boden-Albala</surname> <given-names>B</given-names></name> <name><surname>Rundek</surname> <given-names>T</given-names></name> <name><surname>Paik</surname> <given-names>MC</given-names></name> <name><surname>Sacco</surname> <given-names>RL</given-names></name></person-group>. <article-title>Relative elevation in baseline leukocyte count predicts first cerebral infarction</article-title>. <source>Neurology</source>. (<year>2005</year>) <volume>64</volume>:<fpage>2121</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1212/01.WNL.0000165989.12122.49</pub-id><pub-id pub-id-type="pmid">15985584</pub-id></citation></ref>
<ref id="B39">
<label>39.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Biswas</surname> <given-names>N</given-names></name> <name><surname>Sangma</surname> <given-names>MA</given-names></name></person-group>. <article-title>Serum LDL (low density lipoprotein) as a risk factor for ischemic stroke</article-title>. <source>Mymensingh Med J</source>. (<year>2016</year>) <volume>25</volume>:<fpage>425</fpage>&#x02013;<lpage>32</lpage>. <pub-id pub-id-type="pmid">27612886</pub-id></citation></ref>
<ref id="B40">
<label>40.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shahar</surname> <given-names>E</given-names></name> <name><surname>Chambless</surname> <given-names>LE</given-names></name> <name><surname>Rosamond</surname> <given-names>WD</given-names></name> <name><surname>Boland</surname> <given-names>LL</given-names></name> <name><surname>Ballantyne</surname> <given-names>CM</given-names></name> <name><surname>McGovern</surname> <given-names>PG</given-names></name> <etal/></person-group>. <article-title>Plasma lipid profile and incident ischemic stroke: the atherosclerosis risk in communities (ARIC) study</article-title>. <source>Stroke</source>. (<year>2003</year>) <volume>34</volume>:<fpage>623</fpage>&#x02013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1161/01.STR.0000057812.51734.FF</pub-id><pub-id pub-id-type="pmid">12624282</pub-id></citation></ref>
<ref id="B41">
<label>41.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>W</given-names></name> <name><surname>Liu</surname> <given-names>M</given-names></name> <name><surname>Wu</surname> <given-names>B</given-names></name> <name><surname>Liu</surname> <given-names>H</given-names></name> <name><surname>Wang</surname> <given-names>LC</given-names></name> <name><surname>Tan</surname> <given-names>S</given-names></name></person-group>. <article-title>Serum lipid levels and 3-month prognosis in Chinese patients with acute stroke</article-title>. <source>Adv Ther</source>. (<year>2008</year>) <volume>25</volume>:<fpage>329</fpage>&#x02013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1007/s12325-008-0045-7</pub-id><pub-id pub-id-type="pmid">18414815</pub-id></citation></ref>
<ref id="B42">
<label>42.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>S</given-names></name> <name><surname>Tian</surname> <given-names>Y</given-names></name> <name><surname>Yan</surname> <given-names>H</given-names></name> <name><surname>Zhang</surname> <given-names>B</given-names></name> <name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Xing</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Association between low-density lipoprotein cholesterol (LDL-C) level and unfavorable outcomes in participants of ischemic stroke without diabetes: a multi-center retrospective study</article-title>. <source>Med Sci Monit</source>. (<year>2019</year>) <volume>25</volume>:<fpage>5934</fpage>&#x02013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.12659/MSM.917798</pub-id><pub-id pub-id-type="pmid">31397429</pub-id></citation></ref>
<ref id="B43">
<label>43.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>L</given-names></name> <name><surname>Wu</surname> <given-names>Y</given-names></name> <name><surname>Yu</surname> <given-names>S</given-names></name> <name><surname>Shen</surname> <given-names>Y</given-names></name> <name><surname>Ke</surname> <given-names>C</given-names></name></person-group>. <article-title>Low-density lipoprotein cholesterol and all-cause mortality: findings from the China health and retirement longitudinal study</article-title>. <source>BMJ Open</source>. (<year>2020</year>) <volume>10</volume>:<fpage>e036976</fpage>. <pub-id pub-id-type="doi">10.1136/bmjopen-2020-036976</pub-id><pub-id pub-id-type="pmid">32801200</pub-id></citation></ref>
<ref id="B44">
<label>44.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>Expert Panel on Detection Evaluation and Treatment of High Blood Cholesterol in Adults</collab></person-group>. <article-title>Executive summary of the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)</article-title>. <source>JAMA</source>. (<year>2001</year>) <volume>285</volume>:<fpage>2486</fpage>&#x02013;<lpage>97</lpage>. <pub-id pub-id-type="doi">10.1001/jama.285.19.2486</pub-id></citation></ref>
</ref-list>
</back>
</article>