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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2022.849036</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A Prospective Comparative Study of Health Inequalities and the Epidemiology of Stroke in French Guiana and Dijon, France</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Rochemont</surname> <given-names>Devi Rita</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mimeau</surname> <given-names>Emmanuelle</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Misslin</surname> <given-names>Caroline</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Papaix-Puech</surname> <given-names>Martine</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>de Toffol</surname> <given-names>Bertrand</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sabbah</surname> <given-names>Nadia</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1178893/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Delmas</surname> <given-names>Emmanuel</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Bejot</surname> <given-names>Yannick</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/239959/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Fournel</surname> <given-names>Isabelle</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/859471/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Nacher</surname> <given-names>Mathieu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/677030/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>CIC Inserm 1424, Centre d&#x00027;investigation Clinique, Centre Hospitalier de Cayenne</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff2"><sup>2</sup><institution>Service d&#x00027;accueil des Urgences, Centre Hospitalier de Cayenne</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff3"><sup>3</sup><institution>Service de M&#x000E9;decine, Centre Hospitalier de l&#x00027;Ouest Guyanais</institution>, <addr-line>Saint-Laurent-du-Maroni</addr-line>, <country>French Guiana</country></aff>
<aff id="aff4"><sup>4</sup><institution>Service des Urgences, Centre Hospitalier de Kourou</institution>, <addr-line>Kourou</addr-line>, <country>French Guiana</country></aff>
<aff id="aff5"><sup>5</sup><institution>Service de Neurologie, Centre Hospitalier de Cayenne</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff6"><sup>6</sup><institution>Service de Diab&#x000E9;tologie, Centre Hospitalier de Cayenne</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<aff id="aff7"><sup>7</sup><institution>Centre d&#x00027;investigation Clinique &#x02013; &#x000C9;pid&#x000E9;miologie Clinique, CIC Inserm 1432, Centre d&#x00027;investigation Clinique, CHRU de Dijon</institution>, <addr-line>Dijon</addr-line>, <country>France</country></aff>
<aff id="aff8"><sup>8</sup><institution>Registre des AVC de Dijon, EA7460, Service de Neurologie, Universit&#x000E9; de Bourgogne, CHRU Dijon</institution>, <addr-line>Dijon</addr-line>, <country>France</country></aff>
<aff id="aff9"><sup>9</sup><institution>UFR des Sciences de Sant&#x000E9;, Universit&#x000E9; de Bourgogne</institution>, <addr-line>Dijon</addr-line>, <country>France</country></aff>
<aff id="aff10"><sup>10</sup><institution>D&#x000E9;partement Formation Recherche (DFR) Sant&#x000E9;, Universit&#x000E9; de Guyane</institution>, <addr-line>Cayenne</addr-line>, <country>French Guiana</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Tapas Banerjee, National Neurosciences Centre, India</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Anthony Rudd, King&#x00027;s College London, United Kingdom; Natasa Krsto Rancic, University of Ni&#x00161;, Serbia</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Mathieu Nacher <email>mathieu.nacher66&#x00040;gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Life-Course Epidemiology and Social Inequalities in Health, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>849036</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Rochemont, Mimeau, Misslin, Papaix-Puech, de Toffol, Sabbah, Delmas, Bejot, Fournel and Nacher.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Rochemont, Mimeau, Misslin, Papaix-Puech, de Toffol, Sabbah, Delmas, Bejot, Fournel and Nacher</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>Background</title>
<p>In French Guiana poverty is widespread and specialized care is lacking. We aimed to compare strokes between precarious and non-precarious patients within French Guiana and to compare the epidemiology of ischemic strokes and their outcomes between French Guiana and mainland France.</p>
</sec>
<sec>
<title>Methods</title>
<p>A multicenter prospective cohort examined the influence of social inequalities on stroke characteristics. Consecutive patients aged &#x0003E; 18 years admitted for an acute ischemic stroke, confirmed by neuroimaging were eligible. Exclusion criteria were a history of symptomatic stroke, presence of other short-term life-threatening diseases and inability to contact patients by telephone during follow-up. Social deprivation was measured using the EPICES score, which is based on a multidimensional questionnaire.</p>
</sec>
<sec>
<title>Results</title>
<p>Overall, 652 patients with ischemic stroke were included. The patients in French Guiana were 7 years younger, were more frequently male, of sub-Saharan ancestry, they had a low level of education, and were more often precarious (67.7%) than the patients included in Dijon (39.2%). The origin of the ischemic stroke was predominantly lacunar for patients included in French Guiana and cardioembolic for patients included in Dijon, with greater severity for patients included in Dijon. The proportion of patients with known pre-stroke hypertension, diabetes, or a history of Transient Ischemic Accident was greater in French Guiana than in Dijon. In contrast, hypercholesterolemia, atrial fibrillation, and history of Myocardial Infarction were more frequently found in patients included in Dijon than in patients included in French Guiana. Fibrinolysis was less frequent in French Guiana than in Dijon, 24% of patients arriving early enough receiving thrombolysis in French Guiana vs. 45% in Dijon, <italic>P</italic> &#x0003C; 0.0001. However, after adjustment for patient characteristics, the effect of the center on the use of fibrinolysis disappeared. When comparing precarious and non-precarious patients within French Guiana, the main difference was the younger age and the lower mortality of precarious patients&#x02014;notably immigrants.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Precariousness was widespread in French Guiana. Within French Guiana, despite a younger age among foreigners than French patients, the risk factors, mechanisms, and outcomes were homogenous across socioeconomic strata. The observed differences between the two contrasted French territories suggested that, beyond health inequalities, the epidemiology of cardiovascular risk factors may differ between French Guiana and mainland France.</p>
</sec></abstract>
<kwd-group>
<kwd>ischemic stroke</kwd>
<kwd>risk factors</kwd>
<kwd>thrombolysis</kwd>
<kwd>health inequalities</kwd>
<kwd>epidemiology</kwd>
<kwd>French Guiana</kwd>
</kwd-group>
<contract-sponsor id="cn001">Minist&#x000E8;re des Solidarit&#x000E9;s et de la Sant&#x000E9;<named-content content-type="fundref-id">10.13039/501100014630</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="11"/>
<word-count count="7156"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Stroke represents a major cause of death, disability and dementia worldwide (<xref ref-type="bibr" rid="B1">1</xref>). It has been known for decades that the incidence and prognosis of stroke are worse in low and middle income countries relative to high income countries, a difference that has been increasing over time (<xref ref-type="bibr" rid="B1">1</xref>). Furthermore, within high income countries, there are also major differences in incidence and prognosis of stroke between the more socially disadvantaged groups relative to less disadvantaged (<xref ref-type="bibr" rid="B2">2</xref>). Although it is difficult to disentangle ethnicity and social factors, it has been suspected that ethnicities of African ancestry were more at risk for stroke; they also had a poorer prognosis. Whereas, some studies suggested that 39% of the excess mortality in Blacks was due to lower socioeconomic status, others, controlling for risk factors and health insurance level, found that the differences between blacks and non-blacks were in fact explained by the higher prevalence of standard cardiovascular risk factors in blacks relative to non-blacks (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>French Guiana is a multiethnic Amazonian territory with populations from African, European, and Asian ancestry. It is also a territory of great social contrast: It has the highest GDP per capita in Latin America, while 29% of the total population, and nearly half of adults, consists of foreigners with great social vulnerabilities (<xref ref-type="bibr" rid="B4">4</xref>). The incidence of patients hospitalized for ischemic stroke and hemorrhagic strokes in French Guiana is the highest of all French territories (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). The overall standardized incidence of stroke was 297 per 100 000 in 2017 (<xref ref-type="bibr" rid="B7">7</xref>). We have previously shown that social inequalities of health were present for nearly all major pathologies &#x02013;HIV, Cancer, Preterm birth, terminal renal failure- and that precarious populations often renounced care (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>). Despite being a French territory, French Guiana has a shortage of medical and paramedical staff, and a lack of specialized structures. Hence in 2018, there were an estimated 652 doctors and 2.4 neurologists per 100,000 inhabitants (<xref ref-type="bibr" rid="B14">14</xref>). The social differences in incidence, severity, and prognosis of strokes are possibly the result of greater frequency of risk factors, problems in accessing care, and the quality of emergency care and rehabilitation therapy. At a time when progress on the control of risk factors and improvement of emergency care of strokes have led to significant progress, the most socially vulnerable segments of the population may not benefit equally from these advances. Between 2011 and 2015 INDIA a prospective study was conducted in French Guiana and in Dijon, France. Because of the sociocultural complexity of French Guiana (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B15">15</xref>) and its lack of specialized care (<xref ref-type="bibr" rid="B16">16</xref>), we hypothesized that precariousness would be frequent in our cohort, and that it may influence presentation and outcomes. Our main objectives were to compare the epidemiology of ischemic strokes and their outcomes between French Guiana and mainland France, and to compare strokes between precarious and non-precarious patients within French Guiana; the main outcomes studied were risk factors, case fatality, stroke mechanism, treatment of stroke and outcomes were both compared between French Guiana and Dijon, and within French Guiana between the precarious and non-precarious.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Design</title>
<p>The French multicenter INDIA prospective cohort study (IN&#x000E9;galit&#x000E9;s sociales et pronostic des accidents vasculaires c&#x000E9;r&#x000E9;braux &#x000E0; Dijon et en Antilles-Guyane) was designed to examine the influence of social inequalities on stroke characteristics and prognosis and was previously described (<xref ref-type="bibr" rid="B5">5</xref>). Consecutive patients aged &#x0003E; 18 years admitted for an acute ischemic stroke, confirmed by neuroimaging, and who were able to be interviewed either personally or <italic>via</italic> a next of kin were eligible. Exclusion criteria were a history of symptomatic stroke, presence of other short-term life-threatening diseases and inability to contact patients (or support persons) by telephone during follow-up. Between June 2011 and October 2014, 1,573 patients were recruited in three neurology departments of university hospitals (Dijon, Burgundy; Fort-de-France, Martinique, Pointe &#x000E0; Pitre, and Guadeloupe) and emergency or medicine departments of three hospitals in French Guiana (Cayenne, Saint-Laurent du Maroni, Kourou). Among them, patients with subarachnoid hemorrhage and hemorrhagic stroke were excluded. For the present study, only participants with ischemic stroke included in French Guiana and Dijon were included (<italic>n</italic> = 652). <xref ref-type="fig" rid="F1">Figure 1</xref> shows the study flowchart. In French Guiana most patients were included in Cayenne (Cayenne 244 patients, Saint Laurent du Maroni 37 patients, and Kourou 17 patients). In French Guiana, there was no stroke unit so patients were admitted in normal medical wards.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow chart of patients included in Dijon and French Guiana.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-849036-g0001.tif"/>
</fig>
<p>According to French law relative to observational studies, all patients received written information about the study but signed consent was not required. The study protocol was approved by the Burgundy Ethics Committee (CPP Est 1, 16 May 2010) and the National Commission for Data Processing and Civil Liberties (15 April 2011).</p>
</sec>
<sec>
<title>Collected Data</title>
<p>Demographic data, preexisting conditions, pre-stroke mRS, admission NIHSS score categorizing stroke severity upon patient arrival and mechanism of stroke were collected at the time of inclusion. mRs and NIHSS score were also collected after discharge. Anamnestic information included medications, history of ischemic vascular diseases, known and suspected cardiovascular risk factors. Patients or patient kin were interviewed on the patient&#x00027;s socio economic status including geographic origin of parents or ancestors, marital status, employment status, education, housing conditions, wealth indicators. They were also interviewed on the patient&#x00027;s healthcare access including the time to reach the nearest primary care physician, the nearest hospital, health insurance, the number of consultations with a primary care physician, a dentist or a specialist within the previous year, colorectal cancer screening, previous hospitalization &#x02265;24 h in the 12 preceding months. Stroke therapies (including thrombolysis), healthcare trajectories, the duration of hospital stay, complementary examinations, and vital status at hospital discharge were also reported. The follow-up phone calls took place at 1, 6, and 12 months.</p>
<p>Social deprivation was measured at the individual level using the Evaluation de la Pr&#x000E9;carit&#x000E9; et des In&#x000E9;galit&#x000E9;s de sant&#x000E9; dans les Centres d&#x00027;Examen de Sant&#x000E9; (EPICES) score, which ranges from 0 (no deprivation) to 100 (Maximum deprivation) (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). The EPICES score is based on a multidimensional questionnaire comprising 11 items exploring socioeconomic conditions, leisure activities and family/social support and it can be used to assess precariousness and social deprivation between contrasted areas (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Patients were defined as precarious if the EPICES score was &#x0003E;30.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Descriptive results were expressed as percentages for categorical variables and as means &#x0002B;/- SD or medians [IQR] for continuous variables, as appropriate. Qualitative variables were compared with the Chi2 test, and quantitative variables with Student&#x00027;s <italic>t</italic>-test or non-parametric tests, as appropriate. Statistical analyses were performed with STATA 12 software (College Station, Texas). The statistical significance was set at 5%. In addition, unconditional logistic regression was used to adjust for potential confounders.</p>
</sec>
<sec>
<title>Ethics</title>
<p>The cohort was approved by the French Regulatory authorities CNIL (Commission Nationale de l&#x00027;Informatique et des Libert&#x000E9;s, autorisation n&#x000B0;911040) and the CPP Est 1/AFSSAPS (Comit&#x000E9; de protection des personnes Est 1, Agence National de S&#x000E9;curit&#x000E9; du m&#x000E9;dicament et des Produits de Sant&#x000E9;, autorisation n&#x000B0;2010/40 &#x02013; AFSSAPS n&#x000B0;2010-A00940-39).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Comparisons Between French Guiana and Dijon</title>
<p><xref ref-type="fig" rid="F1">Figure 1</xref> shows the flowchart of the INDIA study and the French Guiana-Dijon analysis. The patients included in French Guiana were nearly 7 years younger, were more frequently male, of sub-Saharan ancestry, with a level of education below the baccalaureate, and more often precarious than the patients included in Dijon&#x02014;67.7 vs. 39.4%. Patients included in French Guiana were also more often born in another country than patients included elsewhere (52 vs. 7.3%, <italic>p</italic> &#x0003C; 0.0001). <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref> shows the comparisons of socioeconomic characteristics and health care use between patients included in French Guiana and patients included in Dijon, France.</p>
<p>Access time to the nearest GP or hospital was greater for patients included in French Guiana. Patients included in French Guiana were less likely to have health insurance, but more likely to rely on welfare pensions or insurance [Revenu Minimum d&#x00027;Insertion, Revenu de Solidarit&#x000E9; Active, minimum vieillesse, Couverture Maladie Universelle compl&#x000E9;mentaire (CMUc), Aide M&#x000E9;dicale Etat] than patients included in Dijon, with less recourse to doctors (general practitioner and specialist) and dentists (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>).</p>
<sec>
<title>Stroke Mechanism</title>
<p>The origin of the ischemic stroke was predominantly lacunar for patients included in French Guiana and cardioembolic for patients included in Dijon, with a greater severity for patients included in Dijon (<xref ref-type="table" rid="T1">Table 1</xref>). Before their first ischemic stroke, patients included in French Guiana were less often on platelet antiaggregants or anti-coagulants than patients included in Dijon (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Stroke presentation, risk factors, and care comparisons between French Guiana and Dijon.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Dijon</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>French Guiana</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>N</italic> (418)</bold></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold><italic>N</italic> (234)</bold></th>
<th valign="top" align="center"><bold>%</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="6"><bold>Stroke classification</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>TOAST classification</bold></td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">Incomplete</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">24.4</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Large arteries</td>
<td valign="top" align="center">99</td>
<td valign="top" align="center">23.7</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">16.2</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Cardioembolic</td>
<td valign="top" align="center">157</td>
<td valign="top" align="center">37.6</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">12.0</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Other cause</td>
<td valign="top" align="center">139</td>
<td valign="top" align="center">33.2</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">47.4</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>NIHSS score at admission</bold></td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0013</td>
</tr>
<tr>
<td valign="top" align="left">0&#x02013;3</td>
<td valign="top" align="center">115</td>
<td valign="top" align="center">27.5</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">33.8</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">4&#x02013;9</td>
<td valign="top" align="center">123</td>
<td valign="top" align="center">29.4</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">37.8</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x02265;10</td>
<td valign="top" align="center">180</td>
<td valign="top" align="center">43.1</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">28.4</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Clinical characteristics</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x0003C;20</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">4.7</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;[20&#x02013;25]</td>
<td valign="top" align="center">122</td>
<td valign="top" align="center">29.2</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">25.6</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;[25&#x02013;30]</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">39.7</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">29.1</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x02265;30</td>
<td valign="top" align="center">94</td>
<td valign="top" align="center">22.5</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">17.5</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Missing</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">23.1</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Known hypertension before the stroke</td>
<td valign="top" align="center">251</td>
<td valign="top" align="center">60.1</td>
<td valign="top" align="center">164</td>
<td valign="top" align="center">70.4</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">18.4</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">28.8</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Known hypercholesterolemia</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">31.3</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">18.2</td>
<td valign="top" align="center">0.0003</td>
</tr>
<tr>
<td valign="top" align="left">Heart failure</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">8.6</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">5.2</td>
<td valign="top" align="center">0.109</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">32.1</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">7.4</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">Previous TIA</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">5.8</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">14.1</td>
<td valign="top" align="center">0.0003</td>
</tr>
<tr>
<td valign="top" align="left">History of MI</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.1</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol consumption</td>
<td valign="top" align="center">269</td>
<td valign="top" align="center">64.5</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">57.6</td>
<td valign="top" align="center">0.085</td>
</tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">19.6</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">22.8</td>
<td valign="top" align="center">0.345</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Therapeutic characteristics</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anti-platelet agents</td>
<td valign="top" align="center">115</td>
<td valign="top" align="center">27.5</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">14.5</td>
<td valign="top" align="center">0.0002</td>
</tr>
<tr>
<td valign="top" align="left">Anticoagulants</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">10.0</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">4.3</td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">Anti-hypertensives</td>
<td valign="top" align="center">247</td>
<td valign="top" align="center">59.2</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">51.7</td>
<td valign="top" align="center">0.064</td>
</tr>
<tr>
<td valign="top" align="left">IV fibrinolysis</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">39.7</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">13.7</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">IV fibrinolysis among 410 patients who arrived within 4.5 h of stroke</td>
<td valign="top" align="center">127</td>
<td valign="top" align="center">45.0</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">24.2</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Frequency of Thrombolysis</title>
<p>In bivariate analysis, the use of intravenous fibrinolysis was significantly less frequent in patients included in French Guiana than in patients included in Dijon; This remained true when the analysis was restricted to patients who arrived within a time frame compatible with fibrinolysis with only 24% of patients arriving early enough treated by thrombolysis in French Guiana vs. 45% in Dijon, <italic>P</italic> &#x0003C; 0.0001 (<xref ref-type="table" rid="T1">Table 1</xref>). However, when the analysis of patients who arrived within a time frame compatible with fibrinolysis adjusted for patient characteristics, the effect of the center on the use of fibrinolysis disappeared (<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 thrombolysis.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Univariate (</bold><italic><bold>n</bold></italic> <bold>&#x0003D;</bold> <bold>317)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Full model (</bold><italic><bold>n</bold></italic> <bold>&#x0003D;</bold> <bold>317)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Step by step (</bold><italic><bold>n</bold></italic> <bold>&#x0003D;</bold> <bold>317)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Crude OR</bold></th>
<th valign="top" align="center"><bold>IC 95%</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
<th valign="top" align="center"><bold>Adjusted OR</bold></th>
<th valign="top" align="center"><bold>IC 95%</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
<th valign="top" align="center"><bold>Adjusted OR</bold></th>
<th valign="top" align="center"><bold>IC 95%</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">French Guiana vs. Dijon</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.31&#x02013;0.88</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.39&#x02013;1.64</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.39&#x02013;1.56</td>
<td valign="top" align="center">0.48</td>
</tr>
<tr>
<td valign="top" align="left">Age &#x02265; 65 vs. &#x0003C;65 years</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.56&#x02013;1.42</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">0.35&#x02013;1.27</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.34&#x02013;1.15</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Woman vs. man</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">0.73&#x02013;1.78</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.37&#x02013;1.16</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.37&#x02013;1.13</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">High school degree</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.37&#x02013;1.10</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.32&#x02013;1.21</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.33&#x02013;1.23</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td/>
<td/>
<td valign="top" align="center">0.006</td>
<td/>
<td/>
<td valign="top" align="center">0.002</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x0003C;20</td>
<td valign="top" align="center">1.12</td>
<td valign="top" align="center">0.40&#x02013;3.07</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">0.36&#x02013;4.19</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">1.26</td>
<td valign="top" align="center">0.38&#x02013;4.23</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;[20&#x02013;25]</td>
<td valign="top" align="center">REF</td>
<td/>
<td/>
<td valign="top" align="center">REF</td>
<td/>
<td/>
<td valign="top" align="center">REF</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;[25&#x02013;30]</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.26&#x02013;0.79</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.20&#x02013;0.75</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.20&#x02013;0.73</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x02265;30</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.24&#x02013;0.92</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.17&#x02013;0.87</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.17&#x02013;0.83</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Missing</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.08&#x02013;0.63</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.04&#x02013;0.47</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.04&#x02013;0.47</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Known hypertension before the stroke</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">0.44&#x02013;1.08</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.43&#x02013;1.44</td>
<td valign="top" align="center">0.44</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.34&#x02013;1.14</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.28&#x02013;1.22</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.27&#x02013;1.15</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">Hypercholesterolemia</td>
<td valign="top" align="center">1.67</td>
<td valign="top" align="center">1.00&#x02013;2.79</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">2.77</td>
<td valign="top" align="center">1.44&#x02013;5.34</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">2.65</td>
<td valign="top" align="center">1.39&#x02013;5.03</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">0.87&#x02013;2.36</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">0.50&#x02013;2.10</td>
<td valign="top" align="center">0.93</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Previous TIA</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.23&#x02013;1.13</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.16&#x02013;1.03</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.16&#x02013;1.04</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left"><bold>TOAST classification</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.002</td>
<td/>
<td/>
<td valign="top" align="center">0.02</td>
<td/>
<td/>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Lacunes</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.04&#x02013;0.38</td>
<td valign="top" align="center">0.0003</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.04&#x02013;0.62</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.04&#x02013;0.57</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Large arteries</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.32&#x02013;1.08</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.25&#x02013;1.19</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.27&#x02013;1.09</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Cardioembolic</td>
<td valign="top" align="center">REF</td>
<td/>
<td/>
<td valign="top" align="center">REF</td>
<td/>
<td/>
<td valign="top" align="center">REF</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Other cause</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.50&#x02013;1.45</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.43&#x02013;1.89</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.47&#x02013;1.75</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left"><bold>NIHSS score at admission</bold></td>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">0&#x02013;3</td>
<td valign="top" align="center">REF</td>
<td/>
<td/>
<td valign="top" align="center">REF</td>
<td/>
<td/>
<td valign="top" align="center">REF</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4&#x02013;9</td>
<td valign="top" align="center">5.75</td>
<td valign="top" align="center">2.80&#x02013;11.77</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">8.01</td>
<td valign="top" align="center">3.56&#x02013;18.05</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">8.13</td>
<td valign="top" align="center">3.61&#x02013;18.30</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;10</td>
<td valign="top" align="center">6.53</td>
<td valign="top" align="center">3.28&#x02013;13.00</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">7.65</td>
<td valign="top" align="center">3.51&#x02013;16.65</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
<td valign="top" align="center">7.72</td>
<td valign="top" align="center">3.55&#x02013;16.80</td>
<td valign="top" align="center">&#x0003C;0.0001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Comorbidities</title>
<p>In terms of comorbidities, the proportion of patients with known pre-stroke hypertension, diabetes, or a history of Transient Ischemic Accident was greater in patients included in French Guiana than in patients included in Dijon (<xref ref-type="table" rid="T1">Table 1</xref>). In contrast, hypercholesterolemia, atrial fibrillation, and history of Myocardial Infarction were more frequently found in patients included in Dijon than in patients included in French Guiana (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Concerning the Body Mass Index (BMI), the proportion of missing data on this variable was significantly higher in patients included in French Guiana. In contrast, for patients with available data, the mean BMI did not differ significantly between patients included in French Guiana and patients included in Dijon (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec>
<title>Destination at Discharge</title>
<p>The patients included in French Guiana were more likely to be discharged toward home than the patients included in Dijon. The frequency of patients receiving rehabilitation did not differ significantly between Dijon and French Guiana, but rehabilitation appeared to be more quickly available in French Guiana than in Dijon, with the majority of patients included in Dijon being transferred to other wards upon discharge, whereas the majority of patients included in French Guiana returned home.</p>
</sec>
<sec>
<title>Prescription of Physical Therapy for Patients Discharged Home</title>
<p>The differences in physical therapy prescription observed between Dijon and French Guiana were explained by differences in patient characteristics; after adjustment for patient characteristics, the prescription of physical therapy when patients returned home was no longer associated with the inclusion center. There was no significant difference between the centers in the prescription of speech therapy sessions.</p>
</sec>
</sec>
<sec>
<title>Comparisons Between Socially Precarious and Non-precarious Patients Within French Guiana</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> shows the comparisons between socially precarious and non-precarious ischemic stroke patients and between foreign-born and French-born patients for patients in French Guiana.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Comparisons between precarious and non-precarious patients within French Guiana.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Socially precarious<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center"><bold>Socially non-precarious<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
<th valign="top" align="center"><bold>Foreign-born</bold></th>
<th valign="top" align="center"><bold>French-born</bold></th>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>(Epices score &#x0003E; 30)</bold></th>
<th valign="top" align="center"><bold>(Epices score &#x0003C;31)</bold></th>
<th/>
<th valign="top" align="center"><bold>(<italic>n</italic> &#x0003D; 126)</bold></th>
<th valign="top" align="center"><bold>(<italic>n</italic> &#x0003D; 108)</bold></th>
<th/>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>(<italic>n</italic> &#x0003D; 159)</bold></th>
<th valign="top" align="center"><bold>(<italic>n</italic> &#x0003D; 74)</bold></th>
<th/>
<th/>
<th/>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7"><bold>Vascular risk factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mean Age (SD)</td>
<td valign="top" align="center">61.56 years</td>
<td valign="top" align="center">63.92 years</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">60.6 years</td>
<td valign="top" align="center">64.3 years</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension <italic>N</italic> (%)</td>
<td valign="top" align="center">111 (70.25)</td>
<td valign="top" align="center">52(70.27)</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">94 (75.2)</td>
<td valign="top" align="center">70 (64.8)</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes <italic>N</italic> (%)</td>
<td valign="top" align="center">42 (26.58)</td>
<td valign="top" align="center">24 (32.43)</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">35 (28)</td>
<td valign="top" align="center">32 (29.63)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">Body mass index Mean (SD)</td>
<td valign="top" align="center">26.96 (5.18)</td>
<td valign="top" align="center">26.37 (4.09)</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">26.54 (5.26)</td>
<td valign="top" align="center">27.045 (4.40)</td>
<td valign="top" align="center">0.49</td>
</tr>
<tr>
<td valign="top" align="left">Hypercholesterolemia <italic>N</italic> (%)</td>
<td valign="top" align="center">28 (17.72)</td>
<td valign="top" align="center">14 (19.44)</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">19 (15.2)</td>
<td valign="top" align="center">23 (21.7)</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">Cardiac failure <italic>N</italic> (%)</td>
<td valign="top" align="center">9 (5.73)</td>
<td valign="top" align="center">3 (4.11)</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">4 (3.23)</td>
<td valign="top" align="center">8 (7.48)</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation <italic>N</italic> (%)</td>
<td valign="top" align="center">12 (7.69)</td>
<td valign="top" align="center">5(6.94)</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">1 (0.65)</td>
<td valign="top" align="center">9 (8.49)</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol (&#x0002B;3 glasses/day) <italic>N</italic> (%)</td>
<td valign="top" align="center">15 (9.74)</td>
<td valign="top" align="center">7 (9.46)</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">10 (8.13)</td>
<td valign="top" align="center">12(11.32)</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">Tobacco <italic>N</italic> (%)</td>
<td valign="top" align="center">60 (37.97)</td>
<td valign="top" align="center">29 (39.19)</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">46 (36.8)</td>
<td valign="top" align="center">44 (40.74)</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">Depression <italic>N</italic> (%)</td>
<td valign="top" align="center">11 (7.05)</td>
<td valign="top" align="center">5 (6.85)</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">5 (4.07)</td>
<td valign="top" align="center">11 (10.28)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Oral contraceptive <italic>N</italic> (%)(women only)</td>
<td valign="top" align="center">5 (8.62)</td>
<td valign="top" align="center">2 (6.67)</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">3 (10.64)</td>
<td valign="top" align="center">1 (4.88)</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left">Substitution Hormonotherapy substitutive <italic>N</italic> (%)(women only)</td>
<td valign="top" align="center">4 (6.90)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">47 (6.38)</td>
<td valign="top" align="center">41 (3.44)</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Prior vascular history</bold></td>
</tr>
<tr>
<td valign="top" align="left">Transient ischemic accident <italic>N</italic> (%)</td>
<td valign="top" align="center">21 (13.21)</td>
<td valign="top" align="center">12 (16.22)</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">13 (10.32)</td>
<td valign="top" align="center">20 (18.52)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial infarction <italic>N</italic> (%)</td>
<td valign="top" align="center">4 (2.52)</td>
<td valign="top" align="center">1 (1.35)</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">2 (1.59)</td>
<td valign="top" align="center">3 (2.78)</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">Lower limb arteriopathy <italic>N</italic> (%)</td>
<td valign="top" align="center">8 (5.03)</td>
<td valign="top" align="center">5 (6.76)</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">2 (1.59)</td>
<td valign="top" align="center">11 (10.19)</td>
<td valign="top" align="center">0.0042</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Angina pectoris N</italic> (%)</td>
<td valign="top" align="center">2 (1.26)</td>
<td valign="top" align="center">4 (5.4)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">2 (1.6)</td>
<td valign="top" align="center">4 (3.7)</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">Vascular surgery <italic>N</italic> (%)</td>
<td valign="top" align="center">4 (2.52)</td>
<td valign="top" align="center">3 (4.05)</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">7 (6.48)</td>
<td valign="top" align="center">0.0037</td>
</tr>
<tr>
<td valign="top" align="left">Angioplasty <italic>N</italic> (%)</td>
<td valign="top" align="center">4 (2.52)</td>
<td valign="top" align="center">2 (2.70)</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">1 (0.79)</td>
<td valign="top" align="center">5 (4.63)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Prior vascular history in the family</bold></td>
</tr>
<tr>
<td valign="top" align="left">Myocardial infarction (fam) <italic>N</italic> (%)</td>
<td valign="top" align="center">8 (8.2)</td>
<td valign="top" align="center">5 (7.7)</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">4 (5.25)</td>
<td valign="top" align="center">9 (10.11)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">Stroke (fam) <italic>N</italic> (%)</td>
<td valign="top" align="center">27 (22.69)</td>
<td valign="top" align="center">14 (21.21)</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">16 (17.2)</td>
<td valign="top" align="center">26 (27.96)</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes (fam) <italic>N</italic> (%)</td>
<td valign="top" align="center">52 (42.63)</td>
<td valign="top" align="center">24 (36.36)</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">36 (38.71)</td>
<td valign="top" align="center">40 (41.67)</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension (fam) <italic>N</italic> (%)</td>
<td valign="top" align="center">79 (66.39)</td>
<td valign="top" align="center">36 (59.01)</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">62 (68.13)</td>
<td valign="top" align="center">54 (60)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Treatment before stroke</bold></td>
</tr>
<tr>
<td valign="top" align="left">Platelet anti-agregant <italic>N</italic> (%)</td>
<td valign="top" align="center">24 (15.09)</td>
<td valign="top" align="center">9 (12.16)</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">13 (10.32)</td>
<td valign="top" align="center">21 (19.44)</td>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">Anti-coagulant <italic>N</italic> (%)</td>
<td valign="top" align="center">6 (3.8)</td>
<td valign="top" align="center">4 (5.48)</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">4 (3.3)</td>
<td valign="top" align="center">6 (5.6)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Anti-hypertensive treatment <italic>N</italic> (%)</td>
<td valign="top" align="center">79 (50.32)</td>
<td valign="top" align="center">40 (54.05)</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">62 (50.0)</td>
<td valign="top" align="center">58 (53.7)</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">Oral anti-diabetic <italic>N</italic> (%)</td>
<td valign="top" align="center">26 (16.46)</td>
<td valign="top" align="center">18 (24.66)</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">22 (17.6)</td>
<td valign="top" align="center">22 (20.56)</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left">Statin <italic>N</italic> (%)</td>
<td valign="top" align="center">22 (13.84)</td>
<td valign="top" align="center">9 (12.33)</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">12 (9.53)</td>
<td valign="top" align="center">19 (17.76)</td>
<td valign="top" align="center">0.065</td>
</tr>
<tr>
<td valign="top" align="left">Insulin <italic>N</italic> (%)</td>
<td valign="top" align="center">17 (10.69)</td>
<td valign="top" align="center">4 (5.48)</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">10 (7.9)</td>
<td valign="top" align="center">11 (10.28)</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">Psychotropic treatment <italic>N</italic> (%)</td>
<td valign="top" align="center">5 (3.38)</td>
<td valign="top" align="center">3 (4.11)</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">6 (4.8)</td>
<td valign="top" align="center">3 (2.8)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">Oral complements <italic>N</italic> (%)</td>
<td valign="top" align="center">4 (2.52)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">3 (2.38)</td>
<td valign="top" align="center">1 (0.9)</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Handicap prior to stroke</bold></td>
</tr>
<tr>
<td valign="top" align="left">Rankin no symptom <italic>N</italic> (%)</td>
<td valign="top" align="center">131 (82.91)</td>
<td valign="top" align="center">68 (91.89)</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">108 (86.4)</td>
<td valign="top" align="center">92 (85.19)</td>
<td valign="top" align="center">0.79</td>
</tr>
<tr>
<td valign="top" align="left">Rankin minimal symptom (1&#x02013;2/6) <italic>N</italic> (%)</td>
<td valign="top" align="center">13 (8.22)</td>
<td valign="top" align="center">1 (1.35)</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">8 (6.4)</td>
<td valign="top" align="center">6 (5.56)</td>
<td valign="top" align="center">0.79</td>
</tr>
<tr>
<td valign="top" align="left">Rankin moderate to severe symptom (3&#x02013;5/6) <italic>N</italic> (%)</td>
<td valign="top" align="center">14 (8.86)</td>
<td valign="top" align="center">5 (6.76)</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">9 (7.20)</td>
<td valign="top" align="center">10 (9.26)</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">Barthel complete autonomy <italic>N</italic> (%)</td>
<td valign="top" align="center">146 (92.41)</td>
<td valign="top" align="center">72 (98.63)</td>
<td valign="top" align="center">0.056</td>
<td valign="top" align="center">117 (93.6)</td>
<td valign="top" align="center">102 (95.33)</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Delay of care</bold></td>
</tr>
<tr>
<td valign="top" align="left">Stroke &#x02013;&#x0003E; Admission (mean in hours/iqr)</td>
<td valign="top" align="center">11.62 (1.23&#x02013;13.62)</td>
<td valign="top" align="center">8.43 (1.52&#x02013;6.63)</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">12.4 (1.22&#x02013;11.75)</td>
<td valign="top" align="center">8.68 (1.53&#x02013;8.34)</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">Admission &#x02013;&#x0003E;Thrombolysis (mean in hours/iqr)</td>
<td valign="top" align="center">2.27 (1.47&#x02013;2.68)</td>
<td valign="top" align="center">2.11 (1.5&#x02013;2.85)</td>
<td valign="top" align="center">0.6869</td>
<td valign="top" align="center">2.59 (1.65&#x02013;3.34)</td>
<td valign="top" align="center">1.75 (1.21&#x02013;2.23)</td>
<td valign="top" align="center">0.037</td>
</tr>
<tr>
<td valign="top" align="left">Stroke&#x02013;&#x0003E; Thrombolysis (mean in hours/iqr)</td>
<td valign="top" align="center">3.41 (2.92&#x02013;4.33)</td>
<td valign="top" align="center">4.11 (2.5&#x02013;4.5)</td>
<td valign="top" align="center">0.3501</td>
<td valign="top" align="center">4.03 (3.08&#x02013;4.46)</td>
<td valign="top" align="center">3.35 (2.33&#x02013;4.33)</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td valign="top" align="left">Thrombolysis performed <italic>N</italic> (%)</td>
<td valign="top" align="center">159 (11.95)</td>
<td valign="top" align="center">74 (17.57)</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">126 (12.7)</td>
<td valign="top" align="center">108 (14.81)</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Explorations realized</bold></td>
</tr>
<tr>
<td valign="top" align="left">Scanner</td>
<td valign="top" align="center">133 (83.6)</td>
<td valign="top" align="center">59 (79.73)</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">103 (81.74)</td>
<td valign="top" align="center">90 (83.33)</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left">1st MRI</td>
<td valign="top" align="center">95 (59.75)</td>
<td valign="top" align="center">56 (75.68)</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">71 (56.35)</td>
<td valign="top" align="center">81 (75)</td>
<td valign="top" align="center">0.0029</td>
</tr>
<tr>
<td valign="top" align="left">2nd MRI</td>
<td valign="top" align="center">4 (2.52)</td>
<td valign="top" align="center">2 (2.70)</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">4 (3.17)</td>
<td valign="top" align="center">2 (1.85)</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">Cervical and intracranial angioscanner</td>
<td valign="top" align="center">94 (59.12)</td>
<td valign="top" align="center">44 (59.46)</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">76 (60.32)</td>
<td valign="top" align="center">63 (58.33)</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">Supraaortic and transcranial doppler and ultrasonography</td>
<td valign="top" align="center">89 (55.97)</td>
<td valign="top" align="center">48 (64.86)</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">61 (48.4)</td>
<td valign="top" align="center">77 (71.3)</td>
<td valign="top" align="center">0.0004</td>
</tr>
<tr>
<td valign="top" align="left">EKG</td>
<td valign="top" align="center">158 (99.37)</td>
<td valign="top" align="center">74 (100)</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">125 (99.21)</td>
<td valign="top" align="center">108 (100)</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">Holter</td>
<td valign="top" align="center">75 (47.3)</td>
<td valign="top" align="center">35 (47.17)</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">59 (46.83)</td>
<td valign="top" align="center">51 (47.22)</td>
<td valign="top" align="center">0.95</td>
</tr>
<tr>
<td valign="top" align="left">Transthoracic Ultrasonography (TTU)</td>
<td valign="top" align="center">132 (83.02)</td>
<td valign="top" align="center">57 (77.03)</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">104 (82.54)</td>
<td valign="top" align="center">86 (79.63)</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">Transoesophageal ultrasonography (TU)</td>
<td valign="top" align="center">11 (6.92)</td>
<td valign="top" align="center">6 (8.11)</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">8 (6.35)</td>
<td valign="top" align="center">9 (8.33)</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Type of stroke</bold></td>
</tr>
<tr>
<td valign="top" align="left">Stroke severity: NIH &#x0003E; 10 (<italic>N</italic>/%)</td>
<td valign="top" align="center">43 (28.48)</td>
<td valign="top" align="center">14 (20)</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">33 (27.97)</td>
<td valign="top" align="center">24 (23.08)</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">Atheroma without supra-aortic stenosis</td>
<td valign="top" align="center">57 (35.85)</td>
<td valign="top" align="center">28 (37.84)</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">43 (34.13)</td>
<td valign="top" align="center">43 (39.81)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Intracranial atheroma</td>
<td valign="top" align="center">14 (8.81)</td>
<td valign="top" align="center">7 (8.81)</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">10 (7.94)</td>
<td valign="top" align="center">10 (9.26)</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">Sequelae of prior systematized stroke on imaging</td>
<td valign="top" align="center">10 (6.29)</td>
<td valign="top" align="center">10 (13.51)</td>
<td valign="top" align="center">0.067</td>
<td valign="top" align="center">7 (5.56)</td>
<td valign="top" align="center">13 (12.04)</td>
<td valign="top" align="center">0.077</td>
</tr>
<tr>
<td valign="top" align="left">Sequellae of prior lacunae on imaging</td>
<td valign="top" align="center">37 (23.27)</td>
<td valign="top" align="center">23 (31.08)</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">17 (24.60)</td>
<td valign="top" align="center">18 (26.85)</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Exit mode</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mean hospitalization duration (days)</td>
<td valign="top" align="center">14.18</td>
<td valign="top" align="center">17.62</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">13.83</td>
<td valign="top" align="center">16.97</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Stroke severity at discharge: NIH &#x0003E; 10 (<italic>N</italic>/%)</td>
<td valign="top" align="center">17 (18.48)</td>
<td valign="top" align="center">6 (14.63)</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">16 (21.05)</td>
<td valign="top" align="center">7 (12.07)</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">OR after adjusting for age</td>
<td valign="top" align="center">OR: 1.36</td>
<td valign="top" align="center">[IC:0.48&#x02013;3.75]</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">OR: 1.97</td>
<td valign="top" align="center">[IC:0.75&#x02013;5.18]</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">Aphasia</td>
<td valign="top" align="center">18 (11.61)</td>
<td valign="top" align="center">8 (11.76)</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">19 (15.32)</td>
<td valign="top" align="center">7 (7)</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Mode of exit &#x0003D; &#x0003E;Death</td>
<td valign="top" align="center">4 (2.52)</td>
<td valign="top" align="center">6 (8.11)</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">2 (1.59)</td>
<td valign="top" align="center">8 (7.41)</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">Exit toward reeducation department</td>
<td valign="top" align="center">50 (31.45)</td>
<td valign="top" align="center">22 (29.73)</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">40 (31.75)</td>
<td valign="top" align="center">33 (30.56)</td>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">Transfer toward another hospital/ward</td>
<td valign="top" align="center">11 (6.92)</td>
<td valign="top" align="center">5 (6.76)</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">11 (8.73)</td>
<td valign="top" align="center">5 (4.63)</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">Discharged toward home</td>
<td valign="top" align="center">94 (59.11)</td>
<td valign="top" align="center">41 (55.41)</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">73 (57.93)</td>
<td valign="top" align="center">62 (57.41)</td>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">Deceased at 12 months</td>
<td valign="top" align="center">7 (4.4)</td>
<td valign="top" align="center">8 (10.8)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">6 (4.76)</td>
<td valign="top" align="center">10 (9.26)</td>
<td valign="top" align="center">0.17</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>&#x0002A;</label><p><italic>For one patient the EPICES score was missing</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec>
<title>Demographic Characteristics</title>
<p>Overall, 234 patients with ischemic stroke were included in the three centers in French Guiana. Overall, 68.2% were considered precarious (<xref ref-type="table" rid="T2">Table 2</xref>). Over half of the population (52.49%) was born abroad. The main origins were Haiti 41.77%, Suriname 22.15%, Brazil 10.76%, Guyana 5.70%, and Saint Lucia 5.06%. Among precarious patients the proportion of foreign citizens was twice the proportion of French nationals (61.08 vs. 30.43%, respectively <italic>P</italic> &#x0003C; 0.0001). Precarious patients were younger than non-precarious (patients 60.77 years, SD: 14.5 vs. 64.4 years, SD: 14.29), <italic>p</italic> = 0.04. Foreign patients were younger than French patients (59.9 years, SD: 13.98 vs. 63.85 years, SD: 14.93), <italic>p</italic> = 0.01.</p>
</sec>
<sec>
<title>Stroke Mechanism</title>
<p>There was no significant difference in terms of ischemic stroke mechanism between precarious and non-precarious, and between foreign and French patients (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
</sec>
<sec>
<title>Risk Factors</title>
<p>There was no significant difference between socially precarious and non-precarious patients, and between French and Foreign patients for any cardiovascular risk factors (<xref ref-type="table" rid="T3">Table 3</xref>). For cardiovascular medical history, there was no significant difference between precarious and non-precarious patients (<xref ref-type="table" rid="T3">Table 3</xref>). However, when comparing French and foreign patients, French patients were significantly more likely to have a history of lower limb arteriopathy and a history of vascular surgery than foreign patients.</p>
<p>Socially precarious patients were more likely to have a pre-existing disability than non-precarious patients (<xref ref-type="table" rid="T3">Table 3</xref>). No such difference was observed when comparing French and Foreign patients.</p>
</sec>
<sec>
<title>Treatment Before the Stroke</title>
<p>There was no significant difference between socially precarious and non-precarious patients in terms of the following treatments: anti-clotting drugs, anti-hypertensives, statins, insulin, oral anti-diabetics, and psychotropic drugs. French patients were more likely to have been on platelet anti-aggregant therapy before the stroke than foreign patients (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
</sec>
<sec>
<title>Delays in Accessing Care</title>
<p>There was no significant difference between socially precarious and non-precarious patients in terms of delay between symptoms and admission, delay between admission and thrombolysis, and in the proportion of patients benefiting from thrombolysis (<xref ref-type="table" rid="T3">Table 3</xref>). Similarly, there was no significant difference between foreign and French patients in terms of symptoms to admission interval or in the proportion of patients benefiting from thrombolysis. However, French patients benefited from a significantly shorter delay between admission and thrombolysis than foreign patients (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
</sec>
<sec>
<title>Paraclinical Examinations</title>
<p>Socially precarious patients were less likely to benefit from a first intention MRI than non-precarious patients (<xref ref-type="table" rid="T3">Table 3</xref>). These differences remained significant after adjusting for age. There was no other difference for any other explorations. Foreign patients were also less likely to benefit from a first intention MRI and from Supra-aortic and trans-cranial Doppler and ultrasonography than French patients (<xref ref-type="table" rid="T3">Table 3</xref>). These differences remained significant after adjusting for age. There was no other difference between French and foreign patients for other explorations.</p>
</sec>
<sec>
<title>Severity of Stroke and Case Fatality</title>
<p>Upon admission to hospital, there was no difference regarding the severity of stroke (NIH severity of 10 and above) between foreign and French patients and between precarious and non-precarious patients (<xref ref-type="table" rid="T3">Table 3</xref>). This remained so despite adjustments for age. However, when looking at exit mode (<xref ref-type="table" rid="T3">Table 3</xref>), socially precarious patients were less likely to die. Similarly foreign patients were significantly less likely to die than French patients (<xref ref-type="table" rid="T3">Table 3</xref>). After adjusting for age, the trend persisted but the differences were no longer significant AOR = 0.25, 95% CI = 0.05&#x02013;1.2, <italic>P</italic> = 0.078 for precariousness and AOR = 0.23, 95% CI = 0.04&#x02013;1.2, <italic>P</italic> = 0.095 for being a foreigner. Within 12 months after admission, in crude analyses (<xref ref-type="table" rid="T3">Table 3</xref>) and after adjustment for age, there was also a non-significant trend toward lower mortality among precarious and among foreign patients.</p>
</sec>
<sec>
<title>Destination at Discharge</title>
<p>There was no significant difference between socially precarious or non-precarious patients, or between foreign and French patients in terms of discharge mode (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The comparison of ischemic stroke patient characteristics and outcomes between 2 contrasted French territories is important to pinpoint specific areas of intervention. Indeed, the characteristics of patients included in French Guiana were very different from those included in Dijon. Patients included in French Guiana were more precarious (EPICES score &#x0003E;30) than patients included in Dijon. Patients in French Guiana had a more precarious family situation; they were less often followed medically by general practitioners, specialists, and dentists. They were also less likely to have health insurance than in Dijon. The use of thrombolysis appeared less frequent in the patients included in French Guiana than in the patients included in Dijon but the difference disappeared after adjusting for patient characteristics.</p>
<p>Within French Guiana, there were also significant health inequalities which were more salient when comparing foreign patients with French patients than when comparing precarious patients using the EPICES score. Among stroke patients in French Guiana, Foreign patients were about 4 years younger than French patients. There was no significant difference between precarious and non-precarious patients regarding the delay between symptoms and admission, but among those who benefited from thrombolysis, French patients had a slightly shorter delay between admission and thrombolysis. Non-precarious patients were also more likely to benefit from first intention MRI than precarious patients. A counterintuitive finding was the lower 1-month mortality in socially precarious patients than in non-precarious patients, however the trend was no longer significant after adjusting for age and initial severity. This is different of what was observed in the UK where foreign patients generally have had a consistently higher mortality than UK citizens (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). One of the hypotheses to explain this lower case-fatality is that socially precarious and foreign patients were younger and had fewer comorbidities, which improved survival rates despite apparently more severe strokes. Recently, it was shown that socially precarious patients had increased mortality which was delayed between 3 and 12 months; but here again this was not observed, perhaps within French Guiana the total number of deaths was insufficient for robust statistical analyses (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>The study design did not include all patients with a stroke and thus did not allow calculating incidence. Over half of patients were foreign, which seems high and would suggest a higher incidence among foreign patients, but this corresponds to the demographic situation among adults in the general population of French Guiana (<xref ref-type="bibr" rid="B15">15</xref>). Over 2/3rds of the patients were considered socially precarious whereas in Dijon France it was 39.4%. Foreign patients were more frequently socially precarious than French-born patients. In French Guiana, 53% of persons live under the French National poverty level (<xref ref-type="bibr" rid="B4">4</xref>) and a study in 2011 showed that 73.3% of hospital patients in Cayenne were socially precarious (EPICES score&#x0003E;30). The proportion of socially precarious persons among stroke patients was high in French Guiana but it is difficult to affirm that the incidence of stroke was higher in precarious persons than in non-precarious persons; however the younger age at diagnosis would definitely suggest so. An important potential limitation in the present study is that the strict inclusion criteria requiring the presence of kin for patients with severe strokes and the requirement of reachability after discharge may have led to the exclusion of very precarious patients coming from the most remote areas of French Guiana, often late and alone. Not including these patients may have introduced a bias minimizing the representation of severe precarious patients consulting late. Future prospective studies in French Guiana should therefore have broader inclusion criteria to limit this bias. Patient follow-up by phone may have biased estimations as the availability of a phone may be less frequent in the precarious. Another limitation is that the Dijon Comprehensive Stroke Center may concentrate large artery occlusions that are referred from other smaller hospitals, which may partly explain the observed differences in mechanisms (more cardio-embolic etiology) and severity (greater NIHSS score on admission). Another potential limitation is that the comparisons within French Guiana may have required more statistical power to unmask differences between groups. Nevertheless, the present study was prospective and gives the first rigorous comparison of ischemic stroke between French Guiana and Dijon in France and the first study of health inequalities and stroke within French Guiana.</p>
<p>We have shown that among precarious populations, and notably among migrants, the picture for many diseases is often similar: a later presentation with more advanced disease and often more deaths (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Socially vulnerable populations will renounce care for reasons pertaining to cost or transport (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>). For reasons that are unclear, the more socially vulnerable patients and foreign-born seemed less likely to benefit from MRI both in 1st intention and for control. Foreign-born patients were less likely to benefit from supra-aortic and transcranial doppler and ultrasonography. Foreign-born patients also had longer intervals between admission and thrombolysis but not between stroke and thrombolysis. The interval between stroke and admission seemed longer but this was not statistically significant. Previous studies in other countries have also shown some social inequalities in the provision of care notably regarding delays, imagery, rehabilitation treatment and prevention, but there was no consistent pattern of inequality by socioeconomic status (<xref ref-type="bibr" rid="B2">2</xref>). Here, one plausible explanation could be that uncertainties linked to the frequent linguistic barriers among foreign patients require longer intervals to ensure patients do not have contraindications for MRI or thrombolysis.</p>
<p>Overall, foreign and more socially vulnerable patients were younger and had more severe lesions but they were less likely to have a past vascular history. Despite some elements suggesting decreased access to care and diagnostics they had increased survival and were generally oriented in the same manner. The overall picture is thus nuanced. There seem to be social inequalities of health regarding stroke, but not quite to a level observed elsewhere, because patient survival was higher among the most socially vulnerable, despite more severe lesions, presumably because they were younger. This difference with observations from elsewhere (<xref ref-type="bibr" rid="B2">2</xref>) may reflect particularities in the demographics of immigrants in French Guiana; it could also show that hospital care is relatively accessible for the most vulnerable (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>) in the universal health care system in French Guiana. In line with theoretical work on the strength of weak ties and structural holes, ego network studies suggested that social networks topology also had an influence on delays to consult (<xref ref-type="bibr" rid="B23">23</xref>). Here we did not find any differences in pre-hospital delays between precarious and non-precarious groups, perhaps the small size of the cities and limited alternatives makes the health system easier to grasp in case of emergency. However, for prevention, screening, non-urgent care and chronic diseases such as hypertension or diabetes social vulnerability may definitely lead to dramatic outcomes. Three quarters of stroke risk factors are behavioral and thus amenable to prevention (<xref ref-type="bibr" rid="B1">1</xref>). Proactive interventions have demonstrated potential for rapid impact, for instance the US Hypertension Detection and Follow-up Project 1976&#x02013;1979 rapidly lowered cardiovascular deaths by 26% (<xref ref-type="bibr" rid="B24">24</xref>). In the French territory with the highest incidence of stroke (<xref ref-type="bibr" rid="B6">6</xref>), this suggests that health promotion and screening efforts should be made to reach the population, and notably the most vulnerable groups, with rapid potential gains in terms of stroke-related morbidity and mortality. Beyond social inequalities in identifying the proximal determinants of stroke, studies have shown that the buildup toward these inequalities starts early in life with childhood circumstances, nutritional deficiencies during pregnancy and infancy (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B25">25</xref>). In the territory with the highest fertility rate in Latin America, and one of the highest preterm delivery rate (<xref ref-type="bibr" rid="B9">9</xref>), where 30% of the population is below the poverty level, improvements in mother and child care may lead to additional benefits with regards to stroke. Moreover, lead, which has been listed among the risk factors for stroke (<xref ref-type="bibr" rid="B1">1</xref>) is at concentrations above 50 micrograms among 25% pregnant women (<xref ref-type="bibr" rid="B26">26</xref>) and the awareness of the magnitude of this problem, which predominantly affects poorer populations, is only dawning on health authorities. What impact this could have on the risk of stroke among the more socially vulnerable remains to be determined.</p>
<p>In conclusion, within French Guiana, over 2/3rds of patients were socially precarious and over half were foreigners; the differences between socially precarious and non-precarious patients were not as important as described elsewhere; the main difference was that foreigners were younger than French patients at the time of their stroke. Ischemic stroke in French Guiana was strikingly different from ischemic stroke in Dijon: patients were substantially younger and poorer in French Guiana than in Dijon; strokes were predominantly lacunar in French Guianaand cardio-embolic in Dijon but this may have reflected referrals of patients with large artery obstruction to the large reference stroke center in Dijon. Although thrombolysis was substantially more frequent in Dijon than in French Guiana in the crude analysis, taking into account patient differences showed no difference in the proportion of thrombolysis between French Guiana and Dijon. Within French Guiana, the risk factors, mechanisms, and outcomes seemed relatively homogenous across socioeconomic strata. Therefore, the marked differences between 2 contrasted French territories suggest that beyond health inequalities there may be a different epidemiology of cardiovascular risk factors between French Guiana and mainland France.</p>
</sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, upon reasonable request.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The cohort was approved by the French Regulatory authorities CNIL (Commission Nationale de l&#x00027;Informatique et des Libert&#x000E9;s, autorisation n&#x000B0;911040) and the CPP Est 1/AFSSAPS (Comit&#x000E9; de protection des personnes Est 1, Agence National de S&#x000E9;curit&#x000E9; du m&#x000E9;dicament et des Produits de Sant&#x000E9;, autorisation n&#x000B0;2010/40 &#x02013; AFSSAPS n&#x000B0;2010-A00940-39). All patients or legal representatives gave consent to participate. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>DR, MN, IF, and YB: conception. DR, EM, CM, MP-P, IF, YB, and ED: study conduct and inclusions. DR and IF: data analysis. MN: first draft writing. DR, CM, BdT, NS, IF, and MN: review and editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The study was funded by the PHRC (Programme Hospitalier de Recherche Clinique), French Ministry of Health.</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="s9">
<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><sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2022.849036/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpubh.2022.849036/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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