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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2022.740656</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>Correlation Between Intracranial Carotid Artery Calcification and Prognosis of Acute Ischemic Stroke After Intravenous Thrombolysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Shen</surname> <given-names>Yuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Dong</surname> <given-names>Zhifeng</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Gang</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhong</surname> <given-names>Jianguo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Pan</surname> <given-names>Pinglei</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/843237/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Zhipeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Shi</surname> <given-names>Haicun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1397459/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Neurology, Yancheng Third People&#x00027;s Hospital</institution>, <addr-line>Yancheng</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Neurology, The Yancheng School of Clinical Medicine of Nanjing Medical University</institution>, <addr-line>Yancheng</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>The Sixth Affiliated Hospital of Nantong University</institution>, <addr-line>Nantong</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People&#x00027;s Hospital</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Medical Imaging, Yancheng Third People&#x00027;s Hospital</institution>, <addr-line>Yancheng</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Central Laboratory, Yancheng Third People&#x00027;s Hospital</institution>, <addr-line>Yancheng</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jean-Claude Baron, University of Cambridge, United Kingdom</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mehmet Akif Top&#x000E7;uoglu, Hacettepe University, Turkey; Janine Gronewold, Essen University Hospital, Germany</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Haicun Shi <email>shihaicun41&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Stroke, a section of the journal Frontiers in Neurology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>740656</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Shen, Dong, Xu, Zhong, Pan, Chen and Shi.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Shen, Dong, Xu, Zhong, Pan, Chen and Shi</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>
<sec>
<title>Objective</title>
<p>To investigate the correlation between prognosis and intracranial carotid artery calcification (ICAC) in patients with acute ischemic stroke (AIS) who receive intravenous thrombolysis (IVT).</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 156 AIS patients who received IVT from March 2019 to March 2020 were enrolled. The modified Woodcock visual score was used to evaluate ICAC in nonenhanced head CT scans. Patients were divided into high calcification burden (HCB; score &#x02265;3) and low calcification burden (LCB; score &#x0003C;3) groups. Demographic, laboratory, imaging and clinical data were compared between the two groups, and whether HCB was a prognostic factor was evaluated.</p>
</sec>
<sec>
<title>Results</title>
<p>Compared with the LCB group, the HCB group had a higher incidence of atrial fibrillation (49.2 vs.22.1%, <italic>P</italic> &#x0003C; 0.001) and coronary heart disease (24.6 vs. 10.0%, <italic>P</italic> = 0.019) and higher serum homocysteine [15.31 (12.15, 17.50) vs. 14.40 (11.20, 16.20), <italic>P</italic> = 0.036] and hemoglobin A1c (6.93 &#x000B1; 1.77 vs. 6.37 &#x000B1; 0.74, <italic>P</italic> = 0.023) levels. Binary logistic regression analysis showed that atrial fibrillation (OR = 3.031, 95% CI: 1.312&#x02013;7.006, <italic>P</italic> = 0.009) and HbA1c (OR = 1.488, 95% CI: 1.050&#x02013;2.109, <italic>P</italic> = 0.026) were independent risk factors for ICAC. After adjusting for other risk factors, symptomatic-side and bilateral ICACs were independent risk factors for poor prognosis (OR = 1.969, 95% CI: 1.220&#x02013;3.178, <italic>P</italic> = 0.006), (OR = 1.354, 95% CI: 1.065&#x02013;1.722, <italic>P</italic> = 0.013) and mortality (OR = 4.245, 95% CI: 1.114&#x02013;16.171, <italic>P</italic> = 0.034), (OR = 2.414, 95% CI = 1.152&#x02013;5.060, <italic>P</italic> = 0.020) in patients with AIS who received IVT.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>ICAC is closely related to the prognosis of acute ischemic stroke after intravenous thrombolysis.</p>
</sec></abstract>
<kwd-group>
<kwd>acute stroke</kwd>
<kwd>calcification</kwd>
<kwd>prognosis</kwd>
<kwd>carotid artery</kwd>
<kwd>intravenous thrombolysis</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="39"/>
<page-count count="9"/>
<word-count count="6395"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Thrombolysis is known to improve outcomes following acute ischemic stroke. Intravenous thrombolysis using recombinant tissue-type plasminogen activator (rt-PA) is still considered the first line of treatment (<xref ref-type="bibr" rid="B1">1</xref>). However, the effect of thrombolysis is influenced by many factors.</p>
<p>Intracranial carotid artery calcification (ICAC) was first observed with radiographic pathology in the early 1960s (<xref ref-type="bibr" rid="B2">2</xref>). Later studies found that 69.4% of Chinese patients (<xref ref-type="bibr" rid="B3">3</xref>) and 82.2% of Dutch patients who were &#x0003E;55 years had ICAC on conventional head computed tomography (CT) (<xref ref-type="bibr" rid="B4">4</xref>). Vascular calcification is part of the atherosclerotic process and may indicates severe stenosis (<xref ref-type="bibr" rid="B5">5</xref>). Atherosclerotic calcification occurs in the form of hydroxyapatite deposits that resemble bone mineralization (<xref ref-type="bibr" rid="B6">6</xref>). The more advanced stages consist of calcified plaques. Confirmation of the coronary calcium score as a predictor of future cardiac events has spurred researchers&#x00027; interest in ICAC. Recent clinical studies have demonstrated the risk factors for intracranial arterial calcification and its clinical significance (<xref ref-type="bibr" rid="B7">7</xref>). Studies have shown that intracranial vascular calcification is related to a higher risk of stroke independent of cardiovascular risk factors (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). However, in contrast to the coronary vasculature, few studies have investigated the relationship between ICACs and the prognosis of patients with acute ischemic stroke (AIS) who receive intravenous thrombolysis (IVT) (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>). And the conclusions of these studies are controversial. The question of whether atherosclerotic calcification might have distinct prognostic effects on stroke patients and therefore warrant specific treatment strategies still needs to be investigated.</p>
<p>In this context, we examined the relationship of the burden of ICAC with poor outcome, complications and mortality in patients treated with IVT for AIS. Studying the effect of ICAC on the prognosis of IVT in AIS may not only help to understand the relationship between ICAC and stroke, but also modify the acute management strategy, because ICAC information is usually available before treatment decision-making (<xref ref-type="bibr" rid="B13">13</xref>).</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Patients</title>
<p>Medical records of the patients registered in China Cerebrovascular Disease Registration Platform with discharged diagnosis of &#x0201C;AIS&#x0201D; between March 2019 to March 2020 in the stroke center of our hospital were reviewed.</p>
</sec>
<sec>
<title>Inclusion Criteria</title>
<p>Inclusion criteria included the following: (1) 18 years of age or older; (2) diagnosis of AIS based on the diagnostic criteria of acute cerebral infarction formulated by the Compilation Committee of Chinese Cerebrovascular Disease Prevention Guidelines (<xref ref-type="bibr" rid="B14">14</xref>); (3) hospital admission within 4.5 h of ictus; and (4) receipt of standard thrombolytic treatment.</p>
</sec>
<sec>
<title>Exclusion Criteria</title>
<p>In order to increase the safety, feasibility and rationality of the study and increase the homogeneity of the study object to a certain extent, the following cases are excluded: (1) posterior circulation infarction; (2) pre-stroke Modified Rankin Scale (mRS) score &#x0003E; 2; (3) standard contraindications for intravenous rt-PA therapy; (4) Patients receiving endovascular treatment; and (5) patients with malignant tumors, severe liver and kidney dysfunction or drug/alcohol abuse.</p>
<p>The study was approved by the ethics committee of our hospital.</p>
</sec>
<sec>
<title>AIS Management</title>
<p>All AIS patients were treated with rt-PA at a dose of 0.9 mg/kg according to internationally recognized guidelines. Routine monitoring of neurological function scores and blood pressure was conducted. Cranial CT was repeated 24 h after thrombolysis to determine whether there was intracranial hemorrhage. If there was no intracranial hemorrhage, antithrombotic therapy and statin therapy were administered.</p>
</sec>
<sec>
<title>Demographics and Detailed Clinical Data</title>
<p>The following information was collected from all patients: sex, age, and medical history, including hypertension, diabetes mellitus, hyperlipidemia, atrial fibrillation, coronary heart disease, and history of smoking or alcohol intake. Definition of hypertension: systolic blood pressure &#x02265; 140 mmHg or diastolic blood pressure &#x02265;90 mmHg (measured at least three times at different times and in the same way at rest), or normal blood pressure when taking antihypertensive drugs; Definition of diabetes: dry mouth, polyuria, emaciation and other diabetes symptoms and random blood glucose &#x02265;11.1 mmol/L, or fasting blood glucose &#x02265;7.0 mmol/L, or oral glucose tolerance test (OGTT) 2 h blood glucose &#x02265;11.1 mmol/L, (at least two times); Definition of dyslipidemia (serum triglycerides &#x0003E;1.7 mmol/L, low-density lipoprotein &#x0003E;3.4 mmol/L, total cholesterol &#x0003E;5.2 mmol/L or by the use of lipid-lowering agents); Atrial fibrillation and coronary heart disease were determined according to previous medical history and ECG, or was being treated for it. Smoking history: smokers who smoke more than 1 cigarette a day for more than 1 year; those who quit smoking for more than 15 years are equivalent to non-smoking; Definition of drinking: The conversion method of alcohol consumption and the standard of excessive drinking refer to the research of Kehui Liu et al. (<xref ref-type="bibr" rid="B15">15</xref>). Patient baseline characteristics were recorded: systolic and diastolic blood pressure, TOAST classification, onset to needle time (ONT) (min), door to needle time (DNT) (min), NIHSS while admitted, mRS score while admitted, and NIHSS on the seventh day. &#x0201C;Improvement&#x0201D; was defined as a decrease in the NIHSS score by &#x02265; 4 points at the 7th day after treatment. &#x0201C;Deterioration&#x0201D; was described as an increase of at least four points in NIHSS at the end of the 7th day. Complications of symptomatic intracranial hemorrhage (sICH) were registered. We investigated laboratory data on admission to our hospital, including data on glucose, total cholesterol, low-density lipoprotein, hemoglobin A1c (HbA1c), creatinine, C-reactive protein, homocysteine, and fibrinogen levels.</p>
</sec>
<sec>
<title>Assessment of ICAC</title>
<p>All included patients underwent a non-contrast cranial CT axial scan (Discovery CT750HD CT Scanner; GE Healthcare, USA) at admission, all images were reconstructed at 0.625 mm axial sections. The ICAC scores were evaluated by a radiology specialist and a neurologist who were blinded to the clinical information, using the modified version of the Woodcock visual scoring (<xref ref-type="bibr" rid="B16">16</xref>). They had received standardized training before CT images evaluation. Bone window CT scans (modified window level: approximately 350 HU; width: 1,000 HU) through the skull base were used to calculate total carotid siphon calcification (TCSC) and symptomatic side calcification in the carotid siphon. The interrater agreement was excellent, the intraclass correlation coefficient from the two observers was 0.863 (<italic>P</italic> &#x0003C; 0.001). If the result was inconsistent, it should be decided by both parties through consultation. The calcification score of siphon segment represents the severity of internal carotid artery calcification. Absence or near absence of calcifications was recorded as one point; thin and discontinuous calcification was scored as two points; thin and continuous, or thick and discontinuous calcification was scored as three points; and thick and continuous calcification was recorded as four points (<xref ref-type="fig" rid="F1">Figure 1</xref>). The calcification score was dichotomized into high calcification burden (HCB; score &#x02265;3) and low calcification burden (LCB; score &#x0003C;3) groups (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Intracranial internal carotid artery calcification score: <bold>(A)</bold>, Absence or near absence of calcifications, score = 1; <bold>(B)</bold>, thin and discontinuous calcification, score = 2; <bold>(C)</bold>, thick and discontinuous calcification, score = 3; <bold>(D)</bold>, thick and continuous calcification, score = 4.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-13-740656-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Follow-Up</title>
<p>Patient neurological function was evaluated at 3 months after discharge using the mRS score by trained neurologists blinded to other clinical data. The patients who were unable to show up for the follow-up visits were subjected to the mRS score questionnaire via multiple phone calls.</p>
<p>The mRS score was dichotomized into favorable (mRS score 0&#x02013;2 [good recovery, no significant disability, slight disability]) or unfavorable [mRS score 3&#x02013;6 (moderate disability, moderately severe disability, severe disability, or death)].</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>SPSS for Windows, version 22.0 (IBM Corporation, New York, USA) was used for statistical analysis. Continuous variables were presented as the mean &#x000B1; SD or median (interquartile range), and categorical variables were presented as percentages. The chi-square test was used for categorical data. The normally distributed variables were compared with independent <italic>t</italic>-tests, and the Mann-Whitney <italic>U</italic>-test was used for continuous non-normally distributed variables. Logistic regression was used for the multivariate analysis of baseline characteristics as risk factors for ICAC. The factors with statistical significance (<italic>P</italic> &#x0003C; 0.1) in univariate analysis were taken as independent variables and entered into logistic regression equation for statistical analysis. An enter method was used to design the final model. To further evaluate the interactive effect of atrial fibrillation and HbA1c, a new term (atrial fibrillation &#x000D7; HbA1c) was calculated and included in the relevant regression models as an additional variable. Multivariate logistic regression analyses were used to analyze whether ICAC was an independent risk factor for intracranial hemorrhage, poor prognosis at 3 months, and mortality after thrombolysis adjusted for potential influencing factors selected based on univariate analyses, <italic>P</italic> &#x0003C; 0.05 was taken as the cut-off for inclusion. <italic>P</italic> &#x0003C; 0.05 and 95% CIs of ORs (logistic regression) were considered statistically significant.</p>
</sec>
</sec>
<sec id="s3">
<title>Result</title>
<p>A total of 156 patients were included in the study. A total of 61 patients (39.1%) had a high calcification burden (HCB). A comparison of the baseline characteristics of HCB patients and LCB patients was summarized in <xref ref-type="table" rid="T1">Table 1</xref>. Compared with patients in the LCB group, patients in the HCB group had a higher incidence of atrial fibrillation (49.2 vs. 22.1%, <italic>P</italic> &#x0003C; 0.001) and coronary heart disease (24.6 vs. 10.0%, <italic>P</italic> = 0.019), and higher HbA1c (6.93 &#x000B1; 1.77 vs. 6.37 &#x000B1; 0.74, <italic>P</italic> = 0.023) and higher serum homocysteine levels (15.31 [12.15, 17.50] vs. 14.40 [11.20, 16.20], <italic>P</italic> = 0.036). Stroke etiology, admission clinical parameters and clinical outcomes of HCB patients and LCB groups were compared. The NIHSS score while admitted to the HCB group was significantly higher than that of the LCB group [8.00 (3.00, 16.50) vs. 5.00 (2.00, 10.00), <italic>P</italic> = 0.004]. The NIHSS score on the 7th day was significantly higher in the HCB group than the LCB group [5.00 (0.50, 12.50) vs. 1.00 (0, 4.00), <italic>P</italic> &#x0003C; 0.001], and the proportion of deterioration (deterioration in NIHSS &#x02265;4) in the HCB group was higher than that in the LCB group (11.5 vs. 2.1%, <italic>P</italic> = 0.029). The mRS score of the HCB group was higher than that of the LCB group at 3 months [3.00 (0, 4.50) vs. 1.00 (0, 3.00), <italic>P</italic> &#x0003C; 0.001] (<xref ref-type="table" rid="T2">Table 2</xref>). The potential risk factors for ICAC were listed in <xref ref-type="fig" rid="F2">Figure 2</xref>. After correction for other risk factors, atrial fibrillation (OR = 3.031, 95% CI: 1.312&#x02013;7.006, <italic>P</italic> = 0.009) and HbA1c (OR = 1.488, 95% CI: 1.050&#x02013;2.109, <italic>P</italic> = 0.026) were independent risk factors for ICAC. The interaction term model showed that the interaction between atrial fibrillation and HbA1c was not significant (OR = 1.459, 95% CI: 0.503&#x02013;4.440, <italic>P</italic> = 0.469). Clinical characteristics associated with poor outcome, sICH, mortality were shown in <xref ref-type="table" rid="T3">Table 3</xref>. Univariate analysis showed that symptomatic side and total modified Woodcock score were associated with poor outcome [1.00 (0, 2.00) vs. 2.00 (1.00, 3.00), <italic>P</italic> &#x0003C; 0.001], [2.00 (0, 4.00) vs. 4.00 (2.00, 6.00), <italic>P</italic> &#x0003C; 0.001], sICH [1.00 (0, 2.00) vs. 2.00 (1.00, 3.00), <italic>P</italic> = 0.007], [2.00 (0, 4.00) vs. 4.00 (2.00, 6.00), <italic>P</italic> = 0.009] and mortality [1.00 (1.00, 2.00) vs. 3.00 (2.50, 3.00), <italic>P</italic> &#x0003C; 0.001], [2.00 (1.00, 4.00) vs. 6.00 (4.00, 6.00), <italic>P</italic> &#x0003C; 0.001] (<xref ref-type="fig" rid="F3">Figure 3</xref>). In the multivariate logistic regression analysis, symptomatic side and total modified Woodcock score were independently associated with poor outcome (OR = 1.969, 95% CI: 1.220&#x02013;3.178, <italic>P</italic> = 0.006 and OR = 1.354, 95% CI: 1.065-1.722, <italic>P</italic> = 0.013) and death (OR = 4.245, 95% CI: 1.114&#x02013;16.171, <italic>P</italic> = 0.034 and OR = 2.414, 95% CI: 1.152&#x02013;5.060, <italic>P</italic> = 0.020), but not with sICH (OR = 1.200, 95% CI: 0.700&#x02013;2.057, <italic>P</italic> = 0.508 and OR = 1.093, 95% CI: 0.833&#x02013;1.435, <italic>P</italic> = 0.521), as shown in <xref ref-type="table" rid="T4">Table 4</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Comparation of baseline characteristics of HCB and LCB groups.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Group</bold></th>
<th valign="top" align="center"><bold>Total (<italic>n</italic> &#x0003D; 156)</bold></th>
<th valign="top" align="center"><bold>HCB (<italic>n</italic> &#x0003D; 61)</bold></th>
<th valign="top" align="center"><bold>LCB (<italic>n</italic> &#x0003D; 95)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">70.81 &#x000B1; 10.41</td>
<td valign="top" align="center">72.80 &#x000B1; 11.91</td>
<td valign="top" align="center">69.54 &#x000B1; 9.17</td>
<td valign="top" align="center">0.056</td>
</tr>
<tr>
<td valign="top" align="left">gende, male (<italic>n</italic>, %)</td>
<td valign="top" align="center">97 (62.2)</td>
<td valign="top" align="center">41 (67.2)</td>
<td valign="top" align="center">56 (58.9)</td>
<td valign="top" align="center">0.299</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension (<italic>n</italic>, %)</td>
<td valign="top" align="center">110 (70.5)</td>
<td valign="top" align="center">44 (72.1)</td>
<td valign="top" align="center">66 (69.5)</td>
<td valign="top" align="center">0.722</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus (<italic>n</italic>, %)</td>
<td valign="top" align="center">28 (17.9)</td>
<td valign="top" align="center">13 (21.3)</td>
<td valign="top" align="center">15 (15.8)</td>
<td valign="top" align="center">0.380</td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipemia (<italic>n</italic>, %)</td>
<td valign="top" align="center">26 (16.7)</td>
<td valign="top" align="center">9 (14.8)</td>
<td valign="top" align="center">17 (17.9)</td>
<td valign="top" align="center">0.608</td>
</tr>
<tr>
<td valign="top" align="left">Coronary heart disease (<italic>n</italic>, %)</td>
<td valign="top" align="center">25 (16.0)</td>
<td valign="top" align="center">15 (24.6)</td>
<td valign="top" align="center">10 (10.0)</td>
<td valign="top" align="center">0.019</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation (<italic>n</italic>, %)</td>
<td valign="top" align="center">51 (32.7)</td>
<td valign="top" align="center">30 (49.2)</td>
<td valign="top" align="center">21 (22.1)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Smoking, (<italic>n</italic>, %)</td>
<td valign="top" align="center">36 (23.1)</td>
<td valign="top" align="center">11 (18.0)</td>
<td valign="top" align="center">25 (26.3)</td>
<td valign="top" align="center">0.231</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol intake (<italic>n</italic>, %)</td>
<td valign="top" align="center">20 (12.8)</td>
<td valign="top" align="center">6 (9.8)</td>
<td valign="top" align="center">14 (14.7)</td>
<td valign="top" align="center">0.372</td>
</tr>
<tr>
<td valign="top" align="left">Systolic pressure (mmHg)</td>
<td valign="top" align="center">158.56 &#x000B1; 24.54</td>
<td valign="top" align="center">158.85 &#x000B1; 23.27</td>
<td valign="top" align="center">158.10 &#x000B1; 26.61</td>
<td valign="top" align="center">0.854</td>
</tr>
<tr>
<td valign="top" align="left">Diastolic pressure (mmHg)</td>
<td valign="top" align="center">89.81 &#x000B1; 13.02</td>
<td valign="top" align="center">89.65 &#x000B1; 12.83</td>
<td valign="top" align="center">89.90 &#x000B1; 13.22</td>
<td valign="top" align="center">0.906</td>
</tr>
<tr>
<td valign="top" align="left">Glycemia (mmol/L)</td>
<td valign="top" align="center">6.61 (5.43,7.87)</td>
<td valign="top" align="center">6.56 (5.32,8.30)</td>
<td valign="top" align="center">6.62 (5.44,7.71)</td>
<td valign="top" align="center">0.658</td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol (mmol/L)</td>
<td valign="top" align="center">4.14 &#x000B1; 0.94</td>
<td valign="top" align="center">4.25 &#x000B1; 0.99</td>
<td valign="top" align="center">4.08 &#x000B1; 0.90</td>
<td valign="top" align="center">0.281</td>
</tr>
<tr>
<td valign="top" align="left">Low density lipoprotein (mmol/L)</td>
<td valign="top" align="center">2.39 &#x000B1; 0.79</td>
<td valign="top" align="center">2.50 &#x000B1; 0.87</td>
<td valign="top" align="center">2.32 &#x000B1; 0.72</td>
<td valign="top" align="center">0.176</td>
</tr>
<tr>
<td valign="top" align="left">Lp-PLA2 (ng/ml)</td>
<td valign="top" align="center">446.17 &#x000B1; 90.18</td>
<td valign="top" align="center">435.20 &#x000B1; 140.97</td>
<td valign="top" align="center">451.62 &#x000B1; 161.86</td>
<td valign="top" align="center">0.115</td>
</tr>
<tr>
<td valign="top" align="left">HbA1c (%)</td>
<td valign="top" align="center">6.59 &#x000B1; 1.27</td>
<td valign="top" align="center">6.93 &#x000B1; 1.77</td>
<td valign="top" align="center">6.37 &#x000B1; 0.74</td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<td valign="top" align="left">Homocysteine (umol/L)</td>
<td valign="top" align="center">14.88 (11.53,16.70)</td>
<td valign="top" align="center">15.31 (12.15, 17.50)</td>
<td valign="top" align="center">14.40 (11.20,16.20)</td>
<td valign="top" align="center">0.036</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine (umol/L)</td>
<td valign="top" align="center">69.15 (59.00, 78.38)</td>
<td valign="top" align="center">71.23 (59.35 84.05)</td>
<td valign="top" align="center">64.50 (58.00,76.30)</td>
<td valign="top" align="center">0.136</td>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/L)</td>
<td valign="top" align="center">3.82 (0.65, 6.41)</td>
<td valign="top" align="center">5.58 (0.61 7.52)</td>
<td valign="top" align="center">3.21 (0.65,6.22)</td>
<td valign="top" align="center">0.265</td>
</tr>
<tr>
<td valign="top" align="left">Fibrinogen (g/L)</td>
<td valign="top" align="center">2.94 (2.48, 3.32)</td>
<td valign="top" align="center">3.00 (2.74 3.73)</td>
<td valign="top" align="center">2.90 (2.37,3.25)</td>
<td valign="top" align="center">0.090</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>HCB, high calcification burden; LCB, low calcification burden; Lp-PLA2, Lipoprotein-associated phospholipase A2; HbA1c, hemoglobin A1c; CRP, C-reactive protein</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Comparation of stroke etiology, admission clinical parameters and clinical outcomes of HCB and LCB groups.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Group</bold></th>
<th valign="top" align="center"><bold>Total (<italic>n</italic> &#x0003D; 156)</bold></th>
<th valign="top" align="center"><bold>HCB (<italic>n</italic> &#x0003D; 61)</bold></th>
<th valign="top" align="center"><bold>LCB (<italic>n</italic> &#x0003D; 95)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>TOAST classification</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="left">Large artery atherosclerosis (<italic>n</italic>, %)</td>
<td valign="top" align="center">71 (45.5)</td>
<td valign="top" align="center">32 (52.5)</td>
<td valign="top" align="center">39 (41.1)</td>
<td valign="top" align="center">0.163</td>
</tr>
<tr>
<td valign="top" align="left">Lacunar infart (<italic>n</italic>, %)</td>
<td valign="top" align="center">57 (36.5)</td>
<td valign="top" align="center">14 (23.0)</td>
<td valign="top" align="center">43 (45.3)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Cardioembolism (<italic>n</italic>, %)</td>
<td valign="top" align="center">27 (17.3)</td>
<td valign="top" align="center">15 (24.6)</td>
<td valign="top" align="center">12 (12.6)</td>
<td valign="top" align="center">0.054</td>
</tr>
<tr>
<td valign="top" align="left">Undetermined inconplete evaluation (<italic>n</italic>, %)</td>
<td valign="top" align="center">1 (0.6)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">1 (1.1)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">ONT (min)</td>
<td valign="top" align="center">149.50 (116.25,192.75)</td>
<td valign="top" align="center">152.79 &#x000B1; 53.35</td>
<td valign="top" align="center">152.24 &#x000B1; 54.74</td>
<td valign="top" align="center">0.951</td>
</tr>
<tr>
<td valign="top" align="left">DNT (min)</td>
<td valign="top" align="center">50.24 &#x000B1; 21.92</td>
<td valign="top" align="center">52.69 &#x000B1; 25.20</td>
<td valign="top" align="center">48.67 &#x000B1; 19.51</td>
<td valign="top" align="center">0.266</td>
</tr>
<tr>
<td valign="top" align="left">NIHSS while admitted</td>
<td valign="top" align="center">6.00 (2.00, 12.00)</td>
<td valign="top" align="center">8.00 (3.00, 16.50)</td>
<td valign="top" align="center">5.00 (2.00,10.00)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">mRS while admitted</td>
<td valign="top" align="center">4.00 (2.00, 4.00)</td>
<td valign="top" align="center">4.00 (2.50, 5.00)</td>
<td valign="top" align="center">3.00 (2.00, 4.00)</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">NIHSS at seventh day</td>
<td valign="top" align="center">2.00 (0, 8.00)</td>
<td valign="top" align="center">5.00 (0.50, 12.50)</td>
<td valign="top" align="center">1.00 (0, 4.00)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Improvement in NIHSS &#x02265;4 (<italic>n</italic>, %)</td>
<td valign="top" align="center">51 (32.7)</td>
<td valign="top" align="center">19 (31.1)</td>
<td valign="top" align="center">32 (33.7)</td>
<td valign="top" align="center">0.742</td>
</tr>
<tr>
<td valign="top" align="left">Deterioration in NIHSS &#x02265;4 (<italic>n</italic>, %)</td>
<td valign="top" align="center">9 (5.8)</td>
<td valign="top" align="center">7 (11.5)</td>
<td valign="top" align="center">2 (2.1)</td>
<td valign="top" align="center">0.029</td>
</tr>
<tr>
<td valign="top" align="left">Bleeding complication (<italic>n</italic>, %)</td>
<td valign="top" align="center">22 (14.1)</td>
<td valign="top" align="center">13 (21.3)</td>
<td valign="top" align="center">9 (9.5)</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr>
<td valign="top" align="left">mRS at 3 months</td>
<td valign="top" align="center">1.00 (0,3.00)</td>
<td valign="top" align="center">3.00 (0,4.50)</td>
<td valign="top" align="center">1.00 (0, 3.00)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>TOAST, Trial of Org 10172 in Acute Stroke Treatment; ONT, onset to needle time; DNT, door to needle time; NIHSS, National Institutes of Health Stroke Scale</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Risk factors for ICAC.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-13-740656-g0002.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Univariate analysis: clinical characteristics associated with poor outcome, sICH, mortality.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Poor outcome</bold></th>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>sICH</bold></th>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Mortality</bold></th>
<th/>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Yes (<italic>n</italic> &#x0003D; 37)</bold></th>
<th valign="top" align="center"><bold>No (<italic>n</italic> &#x0003D; 119)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>Yes (<italic>n</italic> &#x0003D; 22)</bold></th>
<th valign="top" align="center"><bold>No (<italic>n</italic> &#x0003D; 134)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>Yes (<italic>n</italic> &#x0003D; 9)</bold></th>
<th valign="top" align="center"><bold>No (<italic>n</italic> &#x0003D; 147)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">76.41 &#x000B1; 8.65</td>
<td valign="top" align="center">69.08 &#x000B1; 10.33</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">78.50 &#x000B1; 7.58</td>
<td valign="top" align="center">69.55 &#x000B1; 10.29</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">79.78 &#x000B1; 6.26</td>
<td valign="top" align="center">70.27 &#x000B1; 10.38</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">sex, male (<italic>n</italic>, %)</td>
<td valign="top" align="center">17 (45.9)</td>
<td valign="top" align="center">80 (67.2)</td>
<td valign="top" align="center">0.020</td>
<td valign="top" align="center">10 (45.5)</td>
<td valign="top" align="center">87 (64.9)</td>
<td valign="top" align="center">0.081</td>
<td valign="top" align="center">5 (55.6)</td>
<td valign="top" align="center">92 (62.6)</td>
<td valign="top" align="center">0.730</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension (<italic>n</italic>, %)</td>
<td valign="top" align="center">29 (78.4)</td>
<td valign="top" align="center">81 (68.1)</td>
<td valign="top" align="center">0.230</td>
<td valign="top" align="center">13 (59.1)</td>
<td valign="top" align="center">97 (72.4)</td>
<td valign="top" align="center">0.205</td>
<td valign="top" align="center">8 (88.9)</td>
<td valign="top" align="center">102 (69.4)</td>
<td valign="top" align="center">0.213</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus (<italic>n</italic>, %)</td>
<td valign="top" align="center">7 (18.9)</td>
<td valign="top" align="center">21 (17.6)</td>
<td valign="top" align="center">0.860</td>
<td valign="top" align="center">2 (9.1)</td>
<td valign="top" align="center">26 (19.4)</td>
<td valign="top" align="center">0.370</td>
<td valign="top" align="center">3 (33.3)</td>
<td valign="top" align="center">25 (17.0)</td>
<td valign="top" align="center">0.204</td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipemia (<italic>n</italic>, %)</td>
<td valign="top" align="center">5 (13.5)</td>
<td valign="top" align="center">21 (17.6)</td>
<td valign="top" align="center">0.556</td>
<td valign="top" align="center">2 (9.1)</td>
<td valign="top" align="center">24 (17.9)</td>
<td valign="top" align="center">0.536</td>
<td valign="top" align="center">1 (11.1)</td>
<td valign="top" align="center">25 (17.0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Coronary heart disease (<italic>n</italic>,%)</td>
<td valign="top" align="center">11 (29.7)</td>
<td valign="top" align="center">14 (11.8)</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">10 (45.5)</td>
<td valign="top" align="center">15 (11.2)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">4 (44.4)</td>
<td valign="top" align="center">21 (14.3)</td>
<td valign="top" align="center">0.017</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation (<italic>n</italic>, %)</td>
<td valign="top" align="center">21 (56.8)</td>
<td valign="top" align="center">30 (25.2)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">13 (59.1)</td>
<td valign="top" align="center">38 (28.4)</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">6 (66.7)</td>
<td valign="top" align="center">45 (30.6)</td>
<td valign="top" align="center">0.025</td>
</tr>
<tr>
<td valign="top" align="left">Smoking, (<italic>n</italic>, %)</td>
<td valign="top" align="center">3 (8.1)</td>
<td valign="top" align="center">33 (27.7)</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">36 (26.9)</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">36 (24.5)</td>
<td valign="top" align="center">0.091</td>
</tr>
<tr>
<td valign="top" align="left">Drinking histrory (<italic>n</italic>, %)</td>
<td valign="top" align="center">3 (8.1)</td>
<td valign="top" align="center">17 (14.3)</td>
<td valign="top" align="center">0.326</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">20 (14.9)</td>
<td valign="top" align="center">0.052</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">20 (13.6)</td>
<td valign="top" align="center">0.119</td>
</tr>
<tr>
<td valign="top" align="left">Systolic pressure (mmHg)</td>
<td valign="top" align="center">163.22 &#x000B1; 31.09</td>
<td valign="top" align="center">16.88 &#x000B1; 21.90</td>
<td valign="top" align="center">0.169</td>
<td valign="top" align="center">161.14 &#x000B1; 25.49</td>
<td valign="top" align="center">157.93 &#x000B1; 24.33</td>
<td valign="top" align="center">0.570</td>
<td valign="top" align="center">162.22 &#x000B1; 23.43</td>
<td valign="top" align="center">158.15 &#x000B1; 24.55</td>
<td valign="top" align="center">0.629</td>
</tr>
<tr>
<td valign="top" align="left">Diastolic pressure (mmHg)</td>
<td valign="top" align="center">91.03 &#x000B1; 13.96</td>
<td valign="top" align="center">89.34 &#x000B1; 12.67</td>
<td valign="top" align="center">0.492</td>
<td valign="top" align="center">90.68 &#x000B1; 12.01</td>
<td valign="top" align="center">89.59 &#x000B1; 13.15</td>
<td valign="top" align="center">0.715</td>
<td valign="top" align="center">94.11 &#x000B1; 14.78</td>
<td valign="top" align="center">89.48 &#x000B1; 12.85</td>
<td valign="top" align="center">0.299</td>
</tr>
<tr>
<td valign="top" align="left">Glycemia (mmol/L)</td>
<td valign="top" align="center">6.89 (6.10, 8.30)</td>
<td valign="top" align="center">6.47 (5.30, 7.71)</td>
<td valign="top" align="center">0.256</td>
<td valign="top" align="center">6.91 (5.61, 8.11)</td>
<td valign="top" align="center">6.59 (5.40, 7.84)</td>
<td valign="top" align="center">0.603</td>
<td valign="top" align="center">7.83 (6.62, 12.54)</td>
<td valign="top" align="center">6.50 (5.32, 7.71)</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol (mmol/L)</td>
<td valign="top" align="center">4.16 &#x000B1; 0.82</td>
<td valign="top" align="center">4.14 &#x000B1; 0.97</td>
<td valign="top" align="center">0.922</td>
<td valign="top" align="center">4.05 &#x000B1; 0.95</td>
<td valign="top" align="center">4.16 &#x000B1; 0.94</td>
<td valign="top" align="center">0.620</td>
<td valign="top" align="center">4.51 &#x000B1; 0.72</td>
<td valign="top" align="center">4.12 &#x000B1; 0.95</td>
<td valign="top" align="center">0.228</td>
</tr>
<tr>
<td valign="top" align="left">Low density lipoprotein (mmol/L)</td>
<td valign="top" align="center">2.37 &#x000B1; 0.75</td>
<td valign="top" align="center">2.40 &#x000B1; 0.80</td>
<td valign="top" align="center">0.848</td>
<td valign="top" align="center">2.31 &#x000B1; 0.76</td>
<td valign="top" align="center">2.40 &#x000B1; 0.79</td>
<td valign="top" align="center">0.539</td>
<td valign="top" align="center">2.60 &#x000B1; 0.62</td>
<td valign="top" align="center">2.38 &#x000B1; 0.80</td>
<td valign="top" align="center">0.413</td>
</tr>
<tr>
<td valign="top" align="left">Lp-PLA2 (ng/ml)</td>
<td valign="top" align="center">446.09<break/>(443.21, 468.85)</td>
<td valign="top" align="center">444.44<break/>(441.47, 448.40)</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">446.22<break/>(443.27, 449.59)</td>
<td valign="top" align="center">444.79<break/>(441.68, 449.08)</td>
<td valign="top" align="center">0.293</td>
<td valign="top" align="center">451.65<break/>(446.31, 615.27)</td>
<td valign="top" align="center">444.81<break/>(441.75, 448.20)</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">HbA1c (%)</td>
<td valign="top" align="center">6.59 (6.25,6.64)</td>
<td valign="top" align="center">6.58 (6.20,6.62)</td>
<td valign="top" align="center">0.513</td>
<td valign="top" align="center">6.57 (6.25,6.61)</td>
<td valign="top" align="center">6.58 (6.20,6.63)</td>
<td valign="top" align="center">0.342</td>
<td valign="top" align="center">6.60 (6.53,7.00)</td>
<td valign="top" align="center">6.58 (6.20,6.63)</td>
<td valign="top" align="center">0.225</td>
</tr>
<tr>
<td valign="top" align="left">Homocysteine (umol/L)</td>
<td valign="top" align="center">15.31 (12.70,17.45)</td>
<td valign="top" align="center">14.70 (11.40,16.40)</td>
<td valign="top" align="center">0.180</td>
<td valign="top" align="center">16.07 (13.80,18.13)</td>
<td valign="top" align="center">14.65 (11.38,16.50)</td>
<td valign="top" align="center">0.041</td>
<td valign="top" align="center">16.80 (12.00,18.20)</td>
<td valign="top" align="center">14.88 (11.50,16.56)</td>
<td valign="top" align="center">0.401</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine (umol/L)</td>
<td valign="top" align="center">70.80<break/>(59.38, 79.95)</td>
<td valign="top" align="center">65.90<break/>(58.00, 78.50)</td>
<td valign="top" align="center">0.402</td>
<td valign="top" align="center">72.75<break/>(58.75, 86.00)</td>
<td valign="top" align="center">67.80<break/>(58.75, 78.00)</td>
<td valign="top" align="center">0.203</td>
<td valign="top" align="center">72.10<break/>(60.65, 89.70)</td>
<td valign="top" align="center">68.20<break/>(58.00, 78.00)</td>
<td valign="top" align="center">0.386</td>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/L)</td>
<td valign="top" align="center">6.11 (1.83, 7.65)</td>
<td valign="top" align="center">3.26 (0.50, 6.22)</td>
<td valign="top" align="center">0.072</td>
<td valign="top" align="center">2.11 (0.50, 6.53)</td>
<td valign="top" align="center">4.67 (0.66, 6.42)</td>
<td valign="top" align="center">0.389</td>
<td valign="top" align="center">7.36 (6.02,12.29)</td>
<td valign="top" align="center">3.21 (0.55,6.34)</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">Fibrinogen (g/L)</td>
<td valign="top" align="center">3.00 (2.50, 3.32)</td>
<td valign="top" align="center">2.93 (2.44, 3.37)</td>
<td valign="top" align="center">0.594</td>
<td valign="top" align="center">2.66 (2.36, 3.14)</td>
<td valign="top" align="center">2.96 (2.55, 3.37)</td>
<td valign="top" align="center">0.148</td>
<td valign="top" align="center">3.05 (2.86, 3.98)</td>
<td valign="top" align="center">2.93 (2.48, 3.31)</td>
<td valign="top" align="center">0.307</td>
</tr>
<tr>
<td valign="top" align="left">ONT (min)</td>
<td valign="top" align="center">150.00 (120.00,182.50)</td>
<td valign="top" align="center">146.00 (113.00,200.00)</td>
<td valign="top" align="center">0.758</td>
<td valign="top" align="center">145.50 (101.25,212.00)</td>
<td valign="top" align="center">150.00 (117.75,192.25)</td>
<td valign="top" align="center">0.931</td>
<td valign="top" align="center">157.00 (112.00,202.50)</td>
<td valign="top" align="center">147.00 (116.00,193.00)</td>
<td valign="top" align="center">0.595</td>
</tr>
<tr>
<td valign="top" align="left">DNT (min)</td>
<td valign="top" align="center">47.00<break/>(31.50, 59.00)</td>
<td valign="top" align="center">47.00<break/>(35.00, 59.00)</td>
<td valign="top" align="center">0.992</td>
<td valign="top" align="center">45.00<break/>(30.25, 60.50)</td>
<td valign="top" align="center">47.00<break/>(35.00, 58.25)</td>
<td valign="top" align="center">0.648</td>
<td valign="top" align="center">46.00<break/>(36.00,84.50)</td>
<td valign="top" align="center">47.00<break/>(34.00, 59.00)</td>
<td valign="top" align="center">0.487</td>
</tr>
<tr>
<td valign="top" align="left">NIHSS baseline</td>
<td valign="top" align="center">16.00<break/>(11.00, 18.50)</td>
<td valign="top" align="center">4.00<break/>(2.00, 8.00)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">13.00<break/>(8.00, 17.00)</td>
<td valign="top" align="center">5.00<break/>(2.00, 11.00)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">18.00<break/>(17.00, 22.00)</td>
<td valign="top" align="center">5.00<break/>(2.00, 11.00)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">sICH (<italic>n</italic>,%)</td>
<td valign="top" align="center">13 (35.1)</td>
<td valign="top" align="center">9 (7.6)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td/>
<td valign="top" align="center">2 (22.2)</td>
<td valign="top" align="center">20 (13.6)</td>
<td valign="top" align="center">0.615</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Comparation of symptomatic side and total modified Woodcock score of poor outcome, sICH and death.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-13-740656-g0003.tif"/>
</fig>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Univariate and multivariate regression models for the relationship between ICAC and poor outcome, sICH, and mortality.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Poor outcome</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>sICH</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Mortality</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Modified woodcock scores</bold></th>
<th valign="top" align="center"><bold>OR (95%CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>OR (95%CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>OR (95%CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7"><bold>Crude association</bold></td>
</tr>
<tr>
<td valign="top" align="left">Symptomatic side</td>
<td valign="top" align="center">2.210 (1.491&#x02013;3.276)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.832 (1.161&#x02013;2.891)</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">6.101 (1.641&#x02013;22.680)</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Contralateral side</td>
<td valign="top" align="center">1.893 (1.333&#x02013;2.687)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.602 (1.065&#x02013;2.412)</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">4.003 (1.612&#x02013;9.941)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">1.471 (1.212&#x02013;1.786)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.336 (1.068&#x02013;1.670)</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">2.354 (1.332&#x02013;4.159)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Adjusted association</bold></td>
</tr>
<tr>
<td valign="top" align="left">Symptomatic side</td>
<td valign="top" align="center">1.969 (1.220&#x02013;3.178)</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">1.200 (0.700&#x02013;2.057)</td>
<td valign="top" align="center">0.508</td>
<td valign="top" align="center">4.245 (1.114&#x02013;16.171)</td>
<td valign="top" align="center">0.034</td>
</tr>
<tr>
<td valign="top" align="left">Contralateral side</td>
<td valign="top" align="center">1.341 (0.830&#x02013;2.169)</td>
<td valign="top" align="center">0.231</td>
<td valign="top" align="center">1.154 (0.699&#x02013;1.905)</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center">3.514 (0.854&#x02013;14.464)</td>
<td valign="top" align="center">0.082</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">1.354 (1.065&#x02013;1.722)</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">1.093 (0.833&#x02013;1.435)</td>
<td valign="top" align="center">0.521</td>
<td valign="top" align="center">2.414 (1.152&#x02013;5.060)</td>
<td valign="top" align="center">0.020</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Poor outcome, adjusted for gender, age, atrial fibrillation, coronary artery disease, smoking, NIHSS baseline, complication</italic>.</p>
<p><italic>ICH, adjusted for age, atrial fibrillation, coronary artery disease, smoking, homocysteine, NIHSS baseline</italic>.</p>
<p><italic>Mortality, adjusted for age, atrial fibrillation, coronary artery disease, glycemia, LpAa2, CRP, NIHSS baseline, TOAST classification, sICH, symptomatic intracranial hemorrhage</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The retrospective patient cohort study including 156 acute ischemic stroke patients who received intravenous thrombolysis analyses risk factors for ICAC and the prognostic value of high ICAC for functional decline, intracranial hemorrhage and all-cause mortality during 3 months follow-up. The main findings of the study were that atrial fibrillation and HbA1c were independent risk factors for ICAC and that total ICAC score and ICAC score of the symptomatic side predicted the outcomes of functional decline, intracranial hemorrhage and all-cause mortality.</p>
<p>Although our study found that ICAC was closely related to atrial fibrillation, whether there was a causal relationship between ICAC and atrial fibrillation was uncertain. Atrial fibrillation may be a downstream reaction of ICAC. It is generally believed that most patients with ICAC have coronary artery calcification, which is a risk factor for atrial fibrillation (<xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Previous studies have found that diabetes mellitus or random blood glucose are independent risk factors for ICAC (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Although our study did not find a correlation between immediate blood glucose and ICAC, we found that elevated glycosylated hemoglobin was an independent risk factor for ICAC. Glycosylated hemoglobin is a biomarker of average glucose levels that can be used to follow hyperglycemia over the long term (<xref ref-type="bibr" rid="B24">24</xref>). Levels of glycosylated hemoglobin are a biomarker for vascular health (<xref ref-type="bibr" rid="B25">25</xref>). The relationships between high HbA1c and ICAC might be explained by the negative effect of poor glycemic control. Artery calcification may be caused by the accumulation of advanced glycation end products (<xref ref-type="bibr" rid="B26">26</xref>). The important driving factors of atherosclerotic calcification in diabetes include endothelial dysfunction, oxidative stress, changes in mineral metabolism, increased production of inflammatory cytokines and release of osteoprogenitor cells from bone marrow to circulation (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>ICAC is a manifestation of vascular aging and a risk factor for acute cerebrovascular disease. However, there are few studies on the effect of thrombolysis and the prognosis of acute ischemic stroke. Vascular calcification can be divided into two different forms in morphology, depending on the location, namely, in the intima or media (<xref ref-type="bibr" rid="B28">28</xref>). The effect of carotid artery calcification on vascular remodeling and intimal injury is still unclear (<xref ref-type="bibr" rid="B29">29</xref>). Some studies have shown that ICAC can lead to vascular stenosis, thus affecting the pass rate and success rate of intra-arterial mechanical thrombectomy (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>The effect of ICAC on intravenous thrombolysis is still unclear. Xin et al. (<xref ref-type="bibr" rid="B10">10</xref>) found that after correcting other risk factors, ICAC had no effect on the efficacy and prognosis of intravenous thrombolysis. However, Wu et al.&#x00027;s (<xref ref-type="bibr" rid="B31">31</xref>) study suggested that ICAC may form microemboli after intravenous thrombolysis to embolize distant small vessels, resulting in a poor thrombolytic effect or aggravation of symptoms. Our study found that patients with HCB in the siphon segment of the internal carotid artery had a worse response to thrombolysis than patients with LCB. The proportion of patients with HCB whose NIHSS score increased more than 4 points after thrombolysis was higher than that of patients with LCB. This result is consistent with the studies of Lee et al. and T&#x000E1;buas-Pereira et al. (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Considering that calcification is a sign of more severe atherosclerosis, we can reasonably expect that increased arterial calcification would impair autoregulation and make blood vessels more likely to rupture. However, whether ICAC is a risk factor for intracerebral hemorrhage after thrombolysis is still controversial. Lin et al. (<xref ref-type="bibr" rid="B17">17</xref>) asserted that ICAC was a risk factor for intracranial hemorrhage after thrombolysis. However, studies by Lee et al. and T&#x000E1;buas-Pereira et al. (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B22">22</xref>) suggested that there was no correlation between ICAC and symptomatic intracranial hemorrhage. In our study, after correcting for other confounding factors, ICAC was not an independent risk factor for post-thrombolytic hemorrhage. The reasons for these differences may include the following: (1). The research methods used in each study had different calcification scoring standards; (2). Selection bias and the coexistence of other covariates were not considered in other studies; (3). The research found that patients with HCB have a higher proportion of atrial fibrillation, and cardiogenic cerebral embolism caused by atrial fibrillation was prone to postinfarction hemorrhage, and therefore, the existence of these confounding factors led to the deviation of the results; and (4). Another contributor may be the type of calcification, which was not distinguished in any of these studies.</p>
<p>The cycle of repeated rupture and healing of the plaque, accompanied by inflammation of the core and fibrous cap, leads to the presence of heterogeneity and calcified carotid plaque (<xref ref-type="bibr" rid="B32">32</xref>). In animal models, vascular calcification is related to the severity of arteriosclerosis. Vascular calcification and decreased vascular elasticity can make organs more susceptible to the impact of high blood flow and systolic pressure fluctuations, resulting in decreased vascular perfusion (<xref ref-type="bibr" rid="B33">33</xref>&#x02013;<xref ref-type="bibr" rid="B35">35</xref>). ICAC can reflect systemic vascular calcification. The higher mortality rate of patients with HCB after thrombolysis may be related to the higher rate of cardiovascular calcification, including aortic calcification. High coincident calcification may be associated with ischemic event recurrence, including stroke and acute coronary syndrome recurrence. In our study, there was significant difference in the prevalence of coronary heart disease between the two groups, and the effect on recurrent coronary heart disease after stroke was uncertain. In our study, after adjusting for other confounders, ICAC was an independent risk factor for mortality after thrombolysis in stroke. ICAC was associated with all-cause mortality in our cohort.</p>
<p>Lee et al. (<xref ref-type="bibr" rid="B22">22</xref>) found that the proportion of patients with HCB whose mRS score was higher than two points at 90 days was higher, while some other studies (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B12">12</xref>) posited that complicated with ICAC was not related to the three-month prognosis. After correcting for confounding factors such as sex, age, atrial fibrillation, coronary artery disease, smoking, NIHSS baseline, and complications, we found that ICAC was still an independent risk factor for poor prognosis of acute ischemic stroke at 3 months after thrombolysis. In our study, we found that HCB was positively related to the basic NIHSS score, which is an independent risk factor for poor prognosis (<xref ref-type="bibr" rid="B36">36</xref>&#x02013;<xref ref-type="bibr" rid="B39">39</xref>). However, after correction of the basic NIHSS score, HCB was still an independent risk factor for poor prognosis at 3 months.</p>
<p>An important strength is that only few studies have investigated the relationship between ICAC and the prognosis of patients with acute ischemic stroke who receive intravenous thrombolysis. Yet, our study has several limitations. First, we investigated the prognosis of patients at only 3 months after discharge; longer-term follow-up studies are needed in the future. Second, this was a single-center study, and there was inevitably selection bias. And the sample size is relatively small, especially the sample of sICH and mortality, which leads to the imbalance of sample size. This could have affected the meaningfulness of results obtained. All of these limitations will be addressed in future studies by using a larger sample size. Third, patients who underwent revascularization treatment or received conventional conservative treatment within 4.5 h of onset were not included in the study. We would consider including such patients in the next study. Fourth, undoubtly, the un-calcified plaques were also identified as risk factor to their prognosis. However, in the original design of the project, only calcified plaques were studied, and the number and size of un-calcified plaques were not counted. The interaction between those morphologic characteristics of plaques will be added in future studies. And the types of calcification were not distinguished in our study.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Our study showed that atrial fibrillation and glycosylated hemoglobin were independently associated with the prevalence of ICAC. ICAC was an independent risk factor for poor prognosis and mortality of cerebral infarction after intravenous thrombolysis. CT scans coupled with modeling algorithms will provide an objective marker for the prognosis of intravenous thrombolysis in acute cerebral infarction. Intervention of atrial fibrillation or control of high glycosylated hemoglobin may improve the prognosis of acute cerebral infarction after thrombolysis from another perspective.</p>
</sec>
<sec sec-type="data-availability" 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 Ethics Committee of the Yancheng Third 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>YS and ZD drafted the manuscript. YS, PP, and ZC participated in the literature collection. YS and GX analyzed the MRI features. HS and JZ reviewed and revised the manuscript. All authors read and approved the final manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the Research Project Fund of Clinical College of Jiangsu Medical Vocational College (20209127).</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>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
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