Key result
The WEJU-tECG registry contains 20,280 patients with high ECG data completeness, where computerised interpretation had a negative predictive value of 80% for STEMI and 94% for NSTEMI.
Why the study?
The content, data quality, and research potential of the newly established West Jutland Tele-Electrocardiogram Registry had not been presented.
Observational (n=20,280)
No
The WEJU-tECG registry provides a large, high-quality dataset of prehospital tele-ECGs linked to Danish national registries, offering significant research potential for acute cardiac care.
AIM: To present the content, data quality, and research potential of the West Jutland Tele-Electrocardiogram Registry (WEJU-tECG). METHODS: Danish patients reporting symptoms indicating heart disease in the prehospital setting are subjected to a 12-lead tele-electrocardiogram (ECG) in the ambulance, which is digitally sent to a local tele-centre. WEJU-tECG is a newly established Danish registry containing information from the individual tele-ECGs received at the Regional Hospital West Jutland tele-centre. RESULTS: WEJU-tECG holds extracted information from all tele-ECGs with a valid Civil Personal Register number between 2011 and 2020. WEJU-tECG contains information on patient characteristics, tele-ECG data (including a computerised tele-ECG interpretation), vital signs, and time information. A unique Civil Personal Register number allows individual-level linkage between WEJU-tECG and other Danish registries and enables complete follow-up. WEJU-tECG contains 43,696 tele-ECGs from 29,489 different patient contacts among 20,280 different patients. WEJU-tECG contains 5566 patients with ST-segment deviations. The median age is 67 years and 45% are women. Completeness is highest for time information (100% for all variables), tele-ECG data (99% for heart rate, the specific intervals and axes, and QRS duration, and 86% for J-point deviation), and patient characteristics (100% for all variables). Completeness is lowest for vital signs (13% for systolic, diastolic, and mean arterial blood pressure, and 12% for blood oxygen saturation). The computerised tele-ECG interpretation had a negative predictive value of 80% for ST-segment elevation myocardial infarction and 94% for non-ST-segment elevation myocardial infarction and a positive predictive value of 45% for ST-segment elevation myocardial infarction and 32% for non-ST-segment elevation myocardial infarction.
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Bonnesen et al. (2022) conducted an observational in Symptoms indicating heart disease (n=20,280). WEJU-tECG registry was evaluated on Data completeness and predictive value of computerised tele-ECG interpretation. The WEJU-tECG registry contains 20,280 patients with high ECG data completeness, where computerised interpretation had a negative predictive value of 80% for STEMI and 94% for NSTEMI.
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