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Predicting sudden cardiac death in a general population using an electrocardiographic risk score.
- Source :
- Heart; 11/15/2019, Vol. 105 Issue 22, pN.PAG-N.PAG, 1p
- Publication Year :
- 2019
-
Abstract
- <bold>Objective: </bold>We investigated whether combining several ECG abnormalities would identify general population subjects with a high sudden cardiac death (SCD) risk.<bold>Methods: </bold>In a sample of 6830 participants (mean age 51.2±13.9 years; 45.5% male) in the Mini-Finland Health Survey, a general population cohort representative of the Finnish adults aged ≥30 years conducted in 1978-1980, we examined their ECGs, following subjects for 24.3±10.4 years. We analysed the association between individual ECG abnormalities and 10-year SCD risk and developed a risk score using five ECG abnormalities independently associated with SCD risk: heart rate >80 beats per minute, PR duration >220 ms, QRS duration >110 ms, left ventricular hypertrophy and T-wave inversion. We validated the score using an external general population cohort of 10 617 subjects (mean age 44.0±8.5 years; 52.7% male).<bold>Results: </bold>No ECG abnormalities were present in 4563 subjects (66.8%), while 96 subjects (1.4%) had ≥3 ECG abnormalities. After adjusting for clinical factors, the SCD risk increased progressively with each additional ECG abnormality. Subjects with ≥3 ECG abnormalities had an HR of 10.23 (95% CI 5.29 to 19.80) for SCD compared with those without abnormalities. The risk score similarly predicted SCD risk in the validation cohort, in which subjects with ≥3 ECG abnormalities had HR 10.82 (95% CI 3.23 to 36.25) for SCD compared with those without abnormalities.<bold>Conclusion: </bold>The ECG risk score successfully identified general population subjects with a high SCD risk. Combining ECG risk markers may improve the risk stratification for SCD. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13556037
- Volume :
- 105
- Issue :
- 22
- Database :
- Complementary Index
- Journal :
- Heart
- Publication Type :
- Academic Journal
- Accession number :
- 139720383
- Full Text :
- https://doi.org/10.1136/heartjnl-2019-315437