Evidence mapPaperPMID 42252427Full record

ArticleBMC medical education2026

Knowledge level of ECG interpretation on STEMI, its equivalents and mimics among emergency department medical officers: a single-centre study.

Wan Syazmin Wan Mokhtar, Julina Md Noor, Muhammad Nur Azmi Baharuddin, Nurul Huda Ahmad, Mohd Shahril Ahmad Saman

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Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Wan Syazmin Wan MokhtarDepartment of Emergency Medicine, Faculty of Medicine, Universiti Teknologi MARA, Puncak Alam, Malaysia.
Julina Md NoorDepartment of Emergency Medicine, Faculty of Medicine, Universiti Teknologi MARA, Puncak Alam, Malaysia. julinamn@gmail.com.
Muhammad Nur Azmi BaharuddinDepartment of Emergency Medicine, Faculty of Medicine, Universiti Teknologi MARA, Puncak Alam, Malaysia.
Nurul Huda AhmadDepartment of Emergency Medicine, Faculty of Medicine, Universiti Teknologi MARA, Puncak Alam, Malaysia.
Mohd Shahril Ahmad SamanDepartment of Public Health, Faculty of Medicine, Universiti Teknologi MARA, Puncak Alam, Malaysia.

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6 · The paper itself

Abstract

backgroundAccurate electrocardiogram (ECG) interpretation is essential in emergency care, particularly for recognising ST-segment elevation myocardial infarction (STEMI), STEMI equivalents, and STEMI mimics. These patterns guide reperfusion decisions and early management, yet the evolving myocardial infarction paradigm has increased interpretive complexity. This study aimed to assess the ECG interpretation knowledge of STEMI, STEMI equivalents, and STEMI mimics among medical officers in the Emergency Department (ED) and to identify factors associated with their performance.

methodsA cross-sectional study was conducted among 62 medical officers in a high-volume tertiary ED in Malaysia (approximately 110,000 annual attendances). Participants completed a validated questionnaire comprising sociodemographic data, training background, and a 20-item ECG assessment focused on STEMI, STEMI equivalents, and mimics. Each ECG was scored dichotomously, and total scores were categorised using Bloom's cut-off values: poor (< 60%), moderate (60-79%), and good (≥ 80%). Simple logistic regression was used to screen associated variables (p < 0.25), followed by multiple logistic regression to identify independent predictors (p < 0.05).

resultsMost respondents demonstrated poor ECG interpretation knowledge (71%), while 29% achieved moderate scores; none attained a good level. At item level, participants performed better in identifying classical STEMI patterns but showed low accuracy for STEMI equivalents (e.g., posterior myocardial infarction, Smith-Modified Sgarbossa criteria) and mimics (e.g., pericarditis, benign early repolarisation, left ventricular aneurysm). In an exploratory multiple logistic regression analysis, two possible associations were observed: a 6-12-month interval between graduation and employment showed a possible association with higher odds of moderate knowledge (AOR 7.57, 95% CI 1.57-36.57, p = 0.012), and working experience of 2-5 years showed a possible association with lower odds of moderate knowledge compared with > 5 years of experience (AOR 0.19, 95% CI 0.04-0.96, p = 0.045). ECG course attendance, frequency, timing, confidence level, and number of ECGs interpreted per week were not significant predictors.

conclusionsThis single-centre exploratory study identified important gaps in the recognition of STEMI equivalents and mimics among ED medical officers. A 6-12-month interval between graduation and employment and more than 5 years of working experience showed possible associations with moderate knowledge; however, given the cross-sectional design, modest sample size, and wide confidence intervals, these findings are hypothesis-generating and should not be interpreted as evidence of causation. The results highlight a critical need for targeted training interventions focusing on high-risk, under-recognised ECG patterns to strengthen diagnostic accuracy and improve patient outcomes in the emergency care setting.

Indexed as

Clinical CompetenceElectrocardiographyEmergency Service, HospitalHealth Knowledge, Attitudes, PracticeST Elevation Myocardial InfarctionAdultCross-Sectional StudiesDiagnosis, DifferentialFemaleHumansMalaysiaMaleSurveys and QuestionnairesECG TrainingElectrocardiographyEmergency MedicineMyocardial InfarctionSTEMI EquivalentsSTEMI Mimics

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PMID42252427
PMCPMC13463640

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