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. 2024 Mar;39(3):325-333.
doi: 10.1007/s10654-024-01105-9. Epub 2024 Feb 26.

The Danish Nationwide Electrocardiogram (ECG) Cohort

Affiliations

The Danish Nationwide Electrocardiogram (ECG) Cohort

Christoffer Polcwiartek et al. Eur J Epidemiol. 2024 Mar.

Abstract

The electrocardiogram (ECG) is a non-invasive diagnostic tool holding significant clinical importance in the diagnosis and risk stratification of cardiac disease. However, access to large-scale, population-based digital ECG data for research purposes remains limited and challenging. Consequently, we established the Danish Nationwide ECG Cohort to provide data from standard 12-lead digital ECGs in both pre- and in-hospital settings, which can be linked to comprehensive Danish nationwide administrative registers on health and social data with long-term follow-up. The Danish Nationwide ECG Cohort is an open real-world cohort including all patients with at least one digital pre- or in-hospital ECG in Denmark from January 01, 2000, to December 31, 2021. The cohort includes data on standardized and uniform ECG diagnostic statements and ECG measurements including global parameters as well as lead-specific measures of waveform amplitudes, durations, and intervals. Currently, the cohort comprises 2,485,987 unique patients with a median age at the first ECG of 57 years (25th-75th percentiles, 40-71 years; males, 48%), resulting in a total of 11,952,430 ECGs. In conclusion, the Danish Nationwide ECG Cohort represents a novel and extensive population-based digital ECG dataset for cardiovascular research, encompassing both pre- and in-hospital settings. The cohort contains ECG diagnostic statements and ECG measurements that can be linked to various nationwide health and social registers without loss to follow-up.

Keywords: Danish nationwide administrative registers; ECG; Electrocardiogram; In-hospital; Population-based; Pre-hospital.

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Conflict of interest statement

Dr. Polcwiartek has received research grant support from the Danish Cardiovascular Academy (grant number: CPD5Y-2021003-DCA), funded by the Novo Nordisk Foundation (grant number: NNF20SA0067242) and the Danish Heart Foundation. Dr. Kragholm has received research grant support from GE Healthcare. All other authors have no relevant financial or non-financial interests to disclose.

Figures

Fig. 1
Fig. 1
The ECG reflects specific cardiac events and electrical activities. The P wave represents atrial depolarization, initiated by electrical impulses from the sinoatrial node. The PR interval represents conduction through the atrioventricular node. The QRS complex represents ventricular depolarization, marking the onset of systole and ventricular contraction. The T wave represents ventricular repolarization, with the ST segment representing an electrically neutral phase between ventricular depolarization (QRS complex) and repolarization (T wave). Finally, the QT interval represents the time taken for both ventricular depolarization and repolarization, effectively marking the time from ventricular isovolumetric contraction to relaxation. (A) The P and T waves can exhibit either unipolar or bipolar morphologies, resulting in positive, negative, or zero values for P, P′, T, and T′ waves depending on the waveform configuration. Due to the standard definition of the Q, S, and S′ waves as negative deflections, their amplitudes are represented as positive values, with the implicit understanding that they are negative deflections. STJ, commonly referred to as the J point, is defined as the ST level at QRS offset relative to QRS onset. The ST level at the QRS offset plus 1/16 of the average RR interval represents STM. Similarly, STE refers to the ST level at the QRS offset plus 1/8 of the average RR interval. (B) As opposed to human readers who may only inspect the QRS duration in any single lead of the ECG, the Marquette 12SL algorithm measures global intervals from the earliest to the latest waveform deflection across all 12 leads as represented by the red dots
Fig. 2
Fig. 2
Flowchart of the patient selection and ECG data sampling process with highlighted demographic characteristics of the cohort
Fig. 3
Fig. 3
(A) Denmark map with the total number and percentage of ECGs for each region. (B) Barplot of the ECG data coverage by region according to the Danish population for each year of the study period. (C) The number of patients with ECG data stratified by age and sex. (D) The number of ECGs per patient in the cohort

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