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    <responseDate>2026-10-11T22:34:14Z</responseDate>
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    <identifier>10.57760/sciencedb.35930</identifier>
    <datestamp>2026-01-27T11:24:04Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-01-27</dc:date>
  <dc:title>Data Scare</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.35930</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports the manuscript titled &amp;quot;External Validation of the SCARE Score for Predicting Acute Myocardial Infarction in Patients Calling Emergency Medical Communication Centers: A Prospective Multicenter Study&amp;quot;. It contains standardized clinical and demographic data collected from 2,042 patients who called one of four French Emergency Medical Communication Centers (EMCCs: Angers, Orl&amp;eacute;ans, Poitiers, and Tours) for non-traumatic chest pain between October 1, 2019, and February 25, 2020.Data Generation processingData Collection: The data were collected prospectively during emergency calls by trained EMCC dispatchers using a blinded standardized form (not showing SCARE score values). The form included:Demographic information: Age, gender, smoking status.Clinical symptoms: Pain characteristics (suggestive of myocardial ischemia, inaugural pain), sweating, dispatcher&amp;rsquo;s assessment of AMI likelihood.Outcome data: Diagnosis of acute myocardial infarction (AMI), confirmed through hospital records and reviewed by an independent cardiologist using the Fourth Universal Definition of Myocardial Infarction (2018).SCARE Score Calculation: The SCARE score was calculated retrospectively for each patient based on the following variables:Male gender (10 points)Age (13 points for 43&amp;ndash;57 years, 15 points for &amp;gt;57 years)Smoking status (8 points)Pain suggestive of myocardial ischemia (6 points)Inaugural pain (5 points)Sweating (7 points)Dispatcher&amp;rsquo;s conviction of AMI (11 points)Data Processing: The dataset was cleaned to remove incomplete entries and cross-verified with hospital records to confirm AMI diagnoses. Statistical analyses were performed using R software (version 4.0.2).Temporal and Geographical ScopeTemporal Scope: Data were collected over a 5-month period (October 1, 2019&amp;ndash;February 25, 2020).Geographical Scope: The study included patients from four EMCCs in France (Angers, Orl&amp;eacute;ans, Poitiers, Tours).Dataset structureThe dataset is provided as a CSV file (Stat_scare.csv)Data QualityMissing Data: Less than 1% of the dataset contains missing values, primarily due to incomplete dispatcher assessments. Missing data were not imputed and are marked as &amp;quot;.&amp;quot; in the CSV file.Data Errors: No systematic errors were identified. Outliers were cross-verified with hospital records to ensure accuracy.Reuse of DataThis dataset can be reused for:Validation of prehospital risk scores for AMI or other cardiac events.Comparative studies on dispatcher assessment accuracy.Development of machine learning models for predicting AMI in prehospital settings.Sex-based analyses of AMI prediction tools (the dataset includes gender-specific data).Citation RequestIf you reuse this dataset, please cite the associated manuscript: Garrouste V, Guerineau A, Moumneh T, et al. External Validation of the SCARE Score for Predicting Acute Myocardial Infarction in Patients Calling Emergency Medical Communication Centers: A Prospective Multicenter Study.</dc:description>
  <dc:subject>Risk Assessment; Emergency Medical Services; External validation; Triage; SCARE Score; Acute Myocardial Infarction.</dc:subject>
  <dc:creator>Vincent GARROUSTE</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

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