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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2025.1512558</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Atrial fibrillation screening in Syrian patients reporting to the emergency department during the ongoing conflict: a cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Antoun</surname><given-names>Ibrahim</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="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2715072/overview"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Alkhayer</surname><given-names>Alkassem</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Jalal Eldin</surname><given-names>Aref</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Alkhayer</surname><given-names>Alamer</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Salama</surname><given-names>Ibrahim</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2883300/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Yazji</surname><given-names>Khaled</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Somani</surname><given-names>Riyaz</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Ng</surname><given-names>G. Andr&#x00E9;</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/427031/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Zakkar</surname><given-names>Mustafa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/963976/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Cardiovascular Sciences, University of Leicester</institution>, <addr-line>Leicester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Faculty of Medicine, University of Aleppo</institution>, <addr-line>Aleppo</addr-line>, <country>Syria</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Medicine, University of Tishreen&#x0027;s Hospital</institution>, <addr-line>Latakia</addr-line>, <country>Syria</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Department of Intensive Care, Guys and St Thomas Hospital</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Department of Cardiology, The View Hospital</institution>, <addr-line>Doha</addr-line>, <country>Qatar</country></aff>
<aff id="aff6"><label><sup>6</sup></label><institution>Department of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital</institution>, <addr-line>Leicester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff7"><label><sup>7</sup></label><institution>NIHR Leicester Biomedical Research Centre, Department of Research</institution>, <addr-line>Leicester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff8"><label><sup>8</sup></label><institution>Department of Cardiac Surgery, University Hospitals of Leicester NHS Trust, Glenfield Hospital</institution>, <addr-line>Leicester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff9"><label><sup>9</sup></label><institution>Faculty of Medicine, University of Damascus</institution>, <addr-line>Damascus</addr-line>, <country>Syria</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Mate Vamos, University of Szeged, Hungary</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Yoga Yuniadi, Universitas Indonesia, Indonesia</p>
<p>Karam Motawea, Alexandria University, Egypt</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Ibrahim Antoun <email>ia277@leicester.ac.uk</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>20</day><month>02</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1512558</elocation-id>
<history>
<date date-type="received"><day>16</day><month>10</month><year>2024</year></date>
<date date-type="accepted"><day>04</day><month>02</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Antoun, Alkhayer, Jalal Eldin, Alkhayer, Salama, Yazji, Somani, Ng and Zakkar.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Antoun, Alkhayer, Jalal Eldin, Alkhayer, Salama, Yazji, Somani, Ng and Zakkar</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Atrial fibrillation (AF) is the most common arrhythmia worldwide. Data regarding AF screening in conflict countries&#x2019; emergency departments (ED) is lacking.</p>
</sec><sec><title>Methods</title>
<p>We included consecutive patients &#x003E;40 years old who reported to the ED of a Syrian tertiary centre between July 2024 and September 2024. Patients had routine 12-lead electrocardiograms (ECGs) regardless of presenting complaints. Two cardiology consultants blindly verified ECG findings. We excluded critically unwell patients and ECG discrepancies between the two consultants. Data were taken from patients&#x2019; medical notes.</p>
</sec><sec><title>Results</title>
<p>The final analysis included 694 patients, 101 (15&#x0025;) had AF on the ECG. The most common presenting complaints and ECG abnormality were trauma (44&#x0025;) and sinus tachycardia (15&#x0025;), respectively. <sans-serif>Compared to the rest of the patients, AF patients were older (66 vs. 59 years; <italic>p</italic></sans-serif>&#x2009;&#x003C;&#x2009;<sans-serif>0.001), had a lower proportion of males (39&#x0025; vs. 54&#x0025;; <italic>p</italic></sans-serif>&#x2009;&#x003D;&#x2009;<sans-serif>0.01), a higher prevalence of diabetes mellitus (49&#x0025; vs. 21&#x0025;; <italic>p</italic></sans-serif>&#x2009;&#x003D;&#x2009;<sans-serif>0.01), and more cases of congestive cardiac failure</sans-serif> (CCF) <sans-serif>(38&#x0025; vs. 17&#x0025;; <italic>p</italic></sans-serif>&#x2009;&#x003C;&#x2009;<sans-serif>0.001).</sans-serif> AF patients also had a higher <sans-serif>CHA</sans-serif>&#x2082;<sans-serif>DS</sans-serif>&#x2082;<sans-serif>-VASc score</sans-serif> (3 vs. 2; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). CCF [odds ratio [OR]: 3.3, 95&#x0025; confidence interval [CI]: 1.5&#x2013;6.4, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001] and a higher CHA&#x2082;DS&#x2082;-VASc score(OR: 4, 95&#x0025; CI: 1.6&#x2013;7.7, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) were independently associated with positive AF screening.</p>
</sec><sec><title>Conclusion</title>
<p>15&#x0025; of patients reporting to this Syrian ED had positive AF screening. CCF and CHA&#x2082;DS&#x2082;-VASc scores are predictive of AF.</p>
</sec>
</abstract>
<kwd-group>
<kwd>atrial fibrillation</kwd>
<kwd>ECG</kwd>
<kwd>screening</kwd>
<kwd>Syria</kwd>
<kwd>conflict</kwd>
</kwd-group><contract-num rid="cn001">RE/24/130031</contract-num><contract-num rid="cn002">RG/17/3/32774</contract-num><contract-num rid="cn003">MR/S037306/1</contract-num><contract-num rid="cn004">NIHR204553</contract-num><contract-num rid="cn005">CH/12/1/29419</contract-num><contract-num rid="cn007">NIHR203327</contract-num><contract-sponsor id="cn001">British Heart Foundation Research Excellence Award</contract-sponsor><contract-sponsor id="cn002">British Heart Foundation Programme</contract-sponsor><contract-sponsor id="cn003">Medical Research Council Biomedical Catalyst Developmental Pathway Funding Scheme</contract-sponsor><contract-sponsor id="cn004">NIHR i4i</contract-sponsor><contract-sponsor id="cn005">British Heart Foundation</contract-sponsor><contract-sponsor id="cn006">University of Leicester</contract-sponsor><contract-sponsor id="cn007">Leicester NIHR Biomedical Research Centre</contract-sponsor><counts>
<fig-count count="2"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="33"/><page-count count="7"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Cardiac Rhythmology</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Atrial fibrillation (AF) is the most common type of arrhythmia worldwide, and its prevalence in middle&#x2014;to low-income countries is underestimated (<xref ref-type="bibr" rid="B1">1</xref>). AF in the developed world is well studied. Still, there is little data on AF management and demographics in the Middle East, with only four data registries (<xref ref-type="bibr" rid="B2">2</xref>). AF-related research in Arab countries contributes only 0.7&#x0025; of AF research worldwide (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Syria has been suffering from a conflict since 2011. It has been deprived of healthcare funding and resources, particularly exacerbated during the cholera and COVID-19 outbreaks (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Therefore, less than 50&#x0025; of its hospitals operate as usual, with more than half its healthcare workforce forced to leave the country due to conflict (<xref ref-type="bibr" rid="B6">6</xref>). AF management in hospitals during the current economic and political turmoil is unclear, with a scarcity of published inpatient figures and outcomes originating from Syrian healthcare (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Although late advances in AF management have enhanced the AF burden and symptom control, readmission rates continue to increase and have been one of the primary sources of AF-related financial constraints on healthcare economies around the world. One crucial problem is the fact that up to around one-third of AF may be asymptomatic (<xref ref-type="bibr" rid="B11">11</xref>), and this may account for a large proportion of the 20&#x0025; of patients who suffer a stroke without any apparent underlying cause. In a previous study, subclinical atrial tachyarrhythmia detected by implanted devices (defibrillators or pacemakers) was associated with a more than two-fold increase in thromboembolic events (<xref ref-type="bibr" rid="B12">12</xref>). In the developed world, opportunistic screening for AF has been explored in pharmacy settings and primary care (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). However, this has proven challenging in a conflict setting such as Syria, where the main patient pool is inside hospitals admitted through the emergency department (ED). Therefore, we aimed to explore the feasibility of opportunistic AF screening in a tertiary Syrian ED department to assess the prevalence of undiagnosed AF.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<sec id="s2a"><title>Study design and data collection</title>
<p>This single-centre cross-sectional observational study was conducted at Tishreen&#x0027;s University Hospital, Latakia, Syria. It is a large teaching hospital and tertiary care centre with around 860 beds. On average, the hospital provides free healthcare to approximately 50,000&#x2013;60,000 inpatients yearly, with an even more significant number of outpatients seeking care in various medical departments. The ED has around 50 beds across different units, including triage, critical care, and observation. The study included patients over 40 years old reporting the ED between the 1st of July 2024 and the 1st of September 2024. A 12-lead ECG was conducted routinely regardless of the presenting complaint. Two general cardiology consultants blindly reviewed ECGs. We excluded patients with a critical condition or hemodynamic instability, and patients with discrepancies in ECG diagnosis between the two cardiology consultants. ED and medical clinical charts were examined for patients&#x2019; demographics. The research reported in this article adhered to the Declaration of Helsinki. The project was conducted as part of an audit approved by the hospital board and involved prospective analysis of anonymised collected data (reference: 277/C). The reporting of this observational study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines (<xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec id="s2b"><title>Study outcomes</title>
<p>The study&#x0027;s primary outcomes included the prevalence of AF in patients presenting to ED. A secondary analysis explored the correlation between demographics and the presence of AF.</p>
</sec>
<sec id="s2c"><title>Statistical analysis</title>
<p>Continuous variables are expressed as median and interquartile range (IRQ). Categorical variables are expressed as counts and percentages (&#x0025;). Pearson&#x0027;s <italic>&#x03C7;</italic> 2 or Fisher&#x0027;s exact test was used for categorical variables between groups. Students&#x2019; <italic>t</italic>-tests and Kruskal&#x2013;Wallis tests were used to compare continuous variables between the groups depending on the normality of the distribution. We used logistic regression to examine the relationship between demographics and AF presence. Our multivariable model was constructed <italic>a priori</italic> and included demographics that are statistically significant in the univariable model. A 2-sided <italic>p</italic>-value &#x003C;0.05 was considered statistically significant. Statistical analysis was performed using GraphPad Prism V10.3 for Mac (San Diego, California, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Patients characteristics and primary outcomes</title>
<p>After applying the selection criteria in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>, 694 patients were included in the final analysis, of which 101 had unknown AF proven on the 12-lead ECG (15&#x0025;). Demographics are demonstrated in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. Males comprised 57&#x0025; of the cohort, with a median age of 61 (IQR: 52&#x2013;68 years). <sans-serif>Compared to the rest of the patients, AF patients were older (66 vs. 59 years; <italic>p</italic></sans-serif>&#x2009;&#x003C;&#x2009;<sans-serif>0.001), had a lower proportion of males (39&#x0025; vs. 54&#x0025;; <italic>p</italic></sans-serif>&#x2009;&#x003D;&#x2009;<sans-serif>0.01), a higher prevalence of diabetes mellitus (49&#x0025; vs. 21&#x0025;; <italic>p</italic></sans-serif>&#x2009;&#x003D;&#x2009;<sans-serif>0.01), and more cases of congestive cardiac failure</sans-serif> (CCF) <sans-serif>(38&#x0025; vs. 17&#x0025;; <italic>p</italic></sans-serif>&#x2009;&#x003C;&#x2009;<sans-serif>0.001)</sans-serif>. This resulted in a higher CHA&#x2082;DS&#x2082;-VASc score in AF patients [3 [2&#x2013;4] vs. 2 [1&#x2013;3]; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001]. Other ECG findings and patients&#x2019; presenting complaints are shown in <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>. ECG was normal in 247 (36&#x0025;). The most common ECG abnormality was sinus tachycardia in 115 patients (17&#x0025;), and the most common presenting complaints were trauma (44&#x0025;), followed by respiratory complaints (12&#x0025;) and chest pain/syncope (7&#x0025;).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flow chart of the patient selection criteria. AF, atrial fibrillation; ED, emergency department.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1512558-g001.tif"/>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Demographics and characteristics of patients stratified by 12-lead electrocardiogram results.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Overall <break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;694)</th>
<th valign="top" align="center">AF <break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;101)</th>
<th valign="top" align="center">No AF <break/>(593)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Demographics, <italic>n</italic> (&#x0025;) or median (IQR)</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">61 (52&#x2013;68)</td>
<td valign="top" align="center">69 (65<italic>&#x2013;</italic>71<italic>)</italic></td>
<td valign="top" align="center">59 (50&#x2013;66)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">361 (52&#x0025;)</td>
<td valign="top" align="center">39 (39&#x0025;)</td>
<td valign="top" align="center">322 (54&#x0025;)</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Cardiovascular comorbidities, <italic>n</italic> (&#x0025;) or median (IQR)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">226 (33&#x0025;)</td>
<td valign="top" align="center">31 (31&#x0025;)</td>
<td valign="top" align="center">195 (33&#x0025;)</td>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left">Ischemic heart disease</td>
<td valign="top" align="center">107 (15&#x0025;)</td>
<td valign="top" align="center">19 (19&#x0025;)</td>
<td valign="top" align="center">88 (15&#x0025;)</td>
<td valign="top" align="center">0.42</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">176 (25&#x0025;)</td>
<td valign="top" align="center">49 (49&#x0025;)</td>
<td valign="top" align="center">127 (21&#x0025;)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cerebrovascular disease</td>
<td valign="top" align="center">133 (19&#x0025;)</td>
<td valign="top" align="center">23 (22&#x0025;)</td>
<td valign="top" align="center">110 (19&#x0025;)</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">Congestive cardiac failure</td>
<td valign="top" align="center">136 (20&#x0025;)</td>
<td valign="top" align="center">38 (38&#x0025;)</td>
<td valign="top" align="center">98 (17&#x0025;)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral artery disease</td>
<td valign="top" align="center">98 (14&#x0025;)</td>
<td valign="top" align="center">19 (19&#x0025;)</td>
<td valign="top" align="center">79 (13&#x0025;)</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">CHA&#x2082;DS&#x2082;-VASc score</td>
<td valign="top" align="center">2 (1&#x2013;3)</td>
<td valign="top" align="center">3 (2&#x2013;4)</td>
<td valign="top" align="center">2 (1&#x2013;3)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">PCI within the last year</td>
<td valign="top" align="center">33 (5&#x0025;)</td>
<td valign="top" align="center">2 (4&#x0025;)</td>
<td valign="top" align="center">31 (5&#x0025;)</td>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">CABG within the last year</td>
<td valign="top" align="center">18 (3&#x0025;)</td>
<td valign="top" align="center">5 (5&#x0025;)</td>
<td valign="top" align="center">13 (2&#x0025;)</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">Thyroid disease</td>
<td valign="top" align="center">28 (4&#x0025;)</td>
<td valign="top" align="center">6 (6&#x0025;)</td>
<td valign="top" align="center">23 (4&#x0025;)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Other comorbidities, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Anaemia</td>
<td valign="top" align="center">106 (15&#x0025;)</td>
<td valign="top" align="center">14 (14&#x0025;)</td>
<td valign="top" align="center">92 (16&#x0025;)</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left">Active malignancy</td>
<td valign="top" align="center">51 (7&#x0025;)</td>
<td valign="top" align="center">7 (7&#x0025;)</td>
<td valign="top" align="center">44 (7&#x0025;)</td>
<td valign="top" align="center">0.91</td>
</tr>
<tr>
<td valign="top" align="left">Chronic liver failure</td>
<td valign="top" align="center">50 (8&#x0025;)</td>
<td valign="top" align="center">2 (4&#x0025;)</td>
<td valign="top" align="center">48 (8&#x0025;)</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">Chronic lung disease</td>
<td valign="top" align="center">73 (11&#x0025;)</td>
<td valign="top" align="center">7 (7&#x0025;)</td>
<td valign="top" align="center">66 (11&#x0025;)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney failure</td>
<td valign="top" align="center">64 (9&#x0025;)</td>
<td valign="top" align="center">11 (11&#x0025;)</td>
<td valign="top" align="center">53 (9&#x0025;)</td>
<td valign="top" align="center">0.35</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>CABG, coronary artery bypass graft; PCI, percutaneous coronary intervention.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Admissions aetiology and electrocardiogram results. ECG, electrocardiogram; AF, atrial fibrillation; PAC, premature atrial contraction; PVC, premature ventricular contraction.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1512558-g002.tif"/>
</fig>
</sec>
<sec id="s3b"><title>Secondary outcomes</title>
<p>Logistic regression models are demonstrated in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. Univariable regression showed that older age [odds ratio [OR]: 2, 95&#x0025; confidence interval [CI]: 1.2&#x2013;3.8, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.02], females (OR: 2.2, 95&#x0025; CI: 1.2&#x2013;4.1, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.01), DM (OR: 2.3, 95&#x0025; CI: 1.2&#x2013;4.2, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.004), CCF (OR: 3.1, 95&#x0025; CI: 1.5&#x2013;5.7, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.01) and a higher CHA&#x2082;DS&#x2082;-VASc score (OR: 2, 95&#x0025; CI: 1.6&#x2013;2.5, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) were associated with positive AF screening. The multivariable logistic regression model demonstrated that CCF (OR: 3.3, 95&#x0025; CI: 1.5&#x2013;6.4, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and a CHA&#x2082;DS&#x2082;-VASc score (OR: 4, 95&#x0025; CI: 1.6&#x2013;7.7, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) were independently associated with positive AF screening.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Logistic regression model regarding predictors of atrial fibrillation in the study.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variables</th>
<th valign="top" align="center" colspan="2">Univariable analysis</th>
<th valign="top" align="center" colspan="2">Multivariable analysis</th>
</tr>
<tr>
<th valign="top" align="center">OR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">OR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (per year increase)</td>
<td valign="top" align="center">2 (1.2&#x2013;3.8)</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">1.6 (0.5&#x2013;4.9)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Sex (female compared to male)</td>
<td valign="top" align="center">2.2 (1.2&#x2013;4.1)</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">1.5 (0.7&#x2013;3)</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus (yes vs. no)</td>
<td valign="top" align="center">2.3 (1.2&#x2013;4.2)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">1.7 (0.8&#x2013;29)</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Congestive cardiac failure (yes vs. no)</td>
<td valign="top" align="center">3.1 (1.5&#x2013;5.7)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3.3 (1.5&#x2013;6.4)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral vascular disease (yes vs. no)</td>
<td valign="top" align="center">1.5 (0.7&#x2013;3.3)</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Cerebrovascular event (yes vs. no)</td>
<td valign="top" align="center">1.2 (0.7&#x2013;2.6)</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Ischemic heart disease (yes vs. no)</td>
<td valign="top" align="center">1.3 (0.6&#x2013;2.8)</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Hypertension (yes vs. no)</td>
<td valign="top" align="center">1.3 (0.6&#x2013;2)</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CHA&#x2082;DS&#x2082;-VASc score (per 1 point increase)</td>
<td valign="top" align="center">2 (1.6&#x2013;2.5)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">4 (1.6&#x2013;7.7)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Chronic lung disease (yes vs. no)</td>
<td valign="top" align="center">1 (0.9&#x2013;1)</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Thyroid disease (yes vs. no)</td>
<td valign="top" align="center">1.2 (0.5&#x2013;3.9)</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Anaemia (yes vs. no)</td>
<td valign="top" align="center">1.1 (0.8&#x2013;2.2)</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Active malignancy (yes vs. no)</td>
<td valign="top" align="center">1.1 (0.9&#x2013;1)</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Chronic liver failure (yes vs. no)</td>
<td valign="top" align="center">1.3 (0.8&#x2013;2)</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Chronic lung disease (yes vs. no)</td>
<td valign="top" align="center">1 (0.9&#x2013;1)</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney failure (yes vs. no)</td>
<td valign="top" align="center">1.1 (0.8&#x2013;1.2)</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>OR, odds ratio; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>This is the first study describing the utility of opportunistic ED-based screening for AF in Syria and the Middle East. It highlights two significant novel findings for the Syrian-Arabic population: 15&#x0025; had a positive screening for AF, and the CHA<sub>2</sub>DS<sub>2</sub>-VASc score and CCF were independently associated with positive AF screening.</p>
<p>As AF is known to have enormous implications on economies worldwide (<xref ref-type="bibr" rid="B16">16</xref>), recent studies have focused on many aspects of AF, including hospitalisation and readmission rates (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). AF screening can identify more cases, but there is limited evidence on how it affects health outcomes. Anticoagulation treatment was associated with a reduced risk of mortality and first stroke, but it also increased the risk of significant bleeding. Therefore, the exact extent of this risk is uncertain, and no trials have assessed the benefits and risks of anticoagulation specifically for screen-detected populations (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Previous studies have reported conflicting results on the role of ECG screening for AF detection. For example, Fitzmaurice et al. demonstrated that both systematic and opportunistic screening in primary care increased AF detection rates compared to routine practice, with no significant difference between the two approaches (<xref ref-type="bibr" rid="B20">20</xref>). However, this study highlighted that systematic screening required more resource allocation without significantly improving detection rates, raising questions about cost-effectiveness. On the other hand, Morgan et al. showed that systematic nurse-led screening achieved significantly higher detection rates than opportunistic screening (4.5&#x0025; vs. 1.3&#x0025;) (<xref ref-type="bibr" rid="B21">21</xref>). This finding underscores the role of healthcare professionals in enhancing AF detection, though variability in results across practices and concerns about scalability in low-resource settings remain.</p>
<p>Lowres et al. further demonstrated the utility of modern technology such as iECGs, which yielded a fourfold increase in AF detection compared to routine care. However, despite improved AF diagnosis, no significant reduction in clinical events (e.g., stroke) was observed, and the high cost of &#x0024;10,780 per diagnosis limits its applicability, especially in resource-limited or conflict-affected settings (<xref ref-type="bibr" rid="B22">22</xref>). The US Preventive Services Task Force statement 2018 concluded that evidence was insufficient to assess the benefits and harms of AF screening with routine ECGs (<xref ref-type="bibr" rid="B23">23</xref>). However, these data were pulled from countries without conflict and with fully functional healthcare. In a conflict country, including Syria, an ED visit is an opportunity to screen for common conditions in adults and the elderly population, including AF.</p>
<p>Our positive AF detection of 15&#x0025; far exceeds rates reported in the developed world. For example, a multicentral US-based study showed an AF prevalence of 1.1&#x0025; in the ED-based screening (<xref ref-type="bibr" rid="B24">24</xref>). There was no previous data from a developing world country undergoing conflict for comparison. Our results can be compared to findings from various studies conducted in developing countries. This comparison is essential to understand AF&#x0027;s prevalence and detection rates in different healthcare settings, particularly in low-resource environments. AF prevalence in the developing world was proposed to be between 1&#x0025; and 7.4&#x0025; in the general population and between 1&#x0025; and 56&#x0025; in hospital settings, keeping with our rate (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). In rural India, a community-based screening program revealed a high burden of unrecognized AF, with detection rates significantly influenced by the methodology employed. Soni et al. reported that their innovative approach, which involved randomised home-based serial screening of individuals aged 50 years and older, yielded a higher AF detection rate than previous studies that utilised a single rhythm check (<xref ref-type="bibr" rid="B27">27</xref>). This suggests that the detection rate can vary significantly based on the screening strategy, which may also apply to the Syrian context. Moreover, a study conducted in Sweden found a total AF prevalence of 12.3&#x0025; in a screened population, indicating that similar screening efforts in different geographical locations can yield comparable detection rates (<xref ref-type="bibr" rid="B28">28</xref>). In another study focusing on low-resource settings, Evans et al. emphasised the feasibility of using mobile ECG technology for AF screening, which detected a significant proportion of AF cases that would otherwise remain undiagnosed (<xref ref-type="bibr" rid="B29">29</xref>). This suggests that the integration of technology in screening processes can enhance detection rates, potentially leading to a higher prevalence being reported in similar settings. This comparison underscores the importance of addressing resource limitations and the compounded impact of conflict on healthcare delivery, highlighting the need for tailored strategies to improve AF screening in such settings.</p>
<p>Our higher AF rates may partially be attributed to the Syrian conflict, which has been ongoing since 2011 and has massively affected health infrastructure. It resulted in a high turnover of skilled staff and inadequate nurses and allied health professionals (<xref ref-type="bibr" rid="B30">30</xref>). Only half of the country&#x0027;s hospitals and primary healthcare centres are fully functional (<xref ref-type="bibr" rid="B30">30</xref>). Although there was no data before the conflict for comparison, the current data is likely to reflect the current state of play throughout this war-torn country. This included reduced access to preventive healthcare and a higher burden of cardiovascular risk factors and disruptions in healthcare infrastructure, which likely contributed to our high AF pickup rate.</p>
<p>Furthermore, socioeconomic disparities may affect the ability of patients to adhere to management plans and to attend follow-up appointments. Financial constraints may also limit access to necessary interventions and medications, leading to patients developing complications from the patient&#x0027;s cardiac conditions (<xref ref-type="bibr" rid="B31">31</xref>). Furthermore, the high AF prevalence observed in this study may also be influenced by conflict-specific factors, such as psychological stress and trauma, which are known contributors to cardiovascular disease. However, due to logistical constraints in the ED, data on these variables could not be collected. Future studies should address this gap by integrating psychosocial and conflict-related stressors assessments into the study design. CCF and CHA&#x2082;DS&#x2082;-VASc scores are known predictors of AF (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>), and our study&#x0027;s findings align with those. CCF contributes to changes in the atria, increasing the prevalence of AF due to mechanical stress, activation of certain hormones, and inflammation (<xref ref-type="bibr" rid="B33">33</xref>). The components of the CHA&#x2082;DS&#x2082;-VASc score, particularly CCF, indicate the shared risk factors for stroke and the development of AF. The more risk factors a patient has (as noted in the CHA&#x2082;DS&#x2082;-VASc score), the greater the likelihood of developing AF. Therefore, policymakers should put a strategy to screen these patients for AF as they appear to be at a higher risk in our Syrian cohort. Our study was limited to three months due to logistical constraints and the reliance on real-time prospective data collection to ensure accuracy. However, extending the study period to a full year could provide more comprehensive data, accounting for seasonal variations in ED presentations. Future studies should consider longer data collection durations to capture a broader spectrum of AF cases and patient demographics.</p>
<p>This study offers new insights into the prevalence and predictors of AF in a conflict-affected environment, emphasising the feasibility of opportunistic AF screening in EDs. It highlights the necessity for further research to examine the broader impact of conflict-specific factors, such as psychological stress, on cardiovascular health. Furthermore, the findings pave the way for larger, multi-centre studies investigating AF prevalence and management in other conflict- or low-resource settings, thereby contributing to the global understanding of AF in underrepresented populations. From a clinical standpoint, this study demonstrates that routine ECG screening in the ED can effectively identify undiagnosed AF, even in resource-limited and conflict-affected environments. Identifying CHA<sub>2</sub>DS<sub>2</sub>-VASc score and CCF as independent predictors of AF can help clinicians stratify high-risk patients for targeted screening and early intervention. This approach has the potential to reduce stroke risk and improve outcomes in underserved populations by facilitating timely anticoagulation therapy and other appropriate management strategies.</p>
</sec>
<sec id="s4a"><title>Limitations</title>
<p>Data collection was limited to a single tertiary care centre in Latakia. This city was relatively less affected by the Syrian conflict than the other northern and eastern regions of Syria. Therefore, our results might not be generalisable to other centres/regions, given the significant heterogeneity in the quality and level of hospital supplies and staffing. Additionally, our analysis included only routinely collected data within the medical records and by the number of patients who presented to the hospital. Therefore, other variables potentially impacting AF prevalence may have yet to be identified. Our ECG screening might have missed paroxysmal AF and subclinical AF patients. Thus, AF prevalence might have been underestimated. This study&#x0027;s duration was limited to three months, which may have introduced seasonal biases in patient presentations. Additionally, expanding the study retrospectively or prospectively for a full year could yield more representative data on AF prevalence and its associated risk factors. This remains a key area for future research.</p>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>Opportunistic AF screening in Syrian EDs could play a crucial role in identifying AF and initiating appropriate treatment, particularly in a conflict setting where access to routine medical care is significantly limited. A higher CHA&#x2082;DS&#x2082;-VASc score and the presence of CCF were independently associated with the presence of AF.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><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" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Tishreen&#x0027;s University Hospital, Latakia. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because data was collected anonymously and as a part of an audit approved by the institution.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>IA: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AlkA: Data curation, Methodology, Validation, Writing &#x2013; review &#x0026; editing. AJ: Methodology, Writing &#x2013; review &#x0026; editing. AlaA: Data curation, Methodology, Writing &#x2013; review &#x0026; editing. IS: Writing &#x2013; review &#x0026; editing. KY: Writing &#x2013; review &#x0026; editing. RS: Writing &#x2013; review &#x0026; editing. GN: Writing &#x2013; review &#x0026; editing. MZ: Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. GAN is supported by British Heart Foundation Research Excellence Award (RE/24/130031), British Heart Foundation Programme Grant (RG/17/3/32774), Medical Research Council Biomedical Catalyst Developmental Pathway Funding Scheme (MR/S037306/1) and NIHR i4i grant (NIHR204553). MZ is supported by the British Heart Foundation (CH/12/1/29419) to the University of Leicester, which provides funding matched to this BHF award to; and the Leicester NIHR Biomedical Research Centre (NIHR203327).</p>
</sec>
<sec id="s10" sec-type="COI-statement"><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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s12" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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