Data · dataset · 2026
Data Scare
Listed in ScienceDB
This dataset supports the manuscript titled "External Validation of the SCARE Score for Predicting Acute Myocardial Infarction in Patients Calling Emergency Medical Communication Centers: A Prospective Multicenter Study".
Description
It contains standardized clinical and demographic data collected from 2,042 patients who called one of four French Emergency Medical Communication Centers (EMCCs: Angers, Orléans, 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’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 43–57 years, 15 points for >57 years)Smoking status (8 points)Pain suggestive of myocardial ischemia (6 points)Inaugural pain (5 points)Sweating (7 points)Dispatcher’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.
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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–February 25, 2020).Geographical Scope: The study included patients from four EMCCs in France (Angers, Orléans, 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 "." 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.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.35930 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Heart 65% · Myocardial infarction 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.35930 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[anatomy].local:anatomy:heart | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[disease].local:disease:myocardial-infarction | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |