Association Between ECG Abnormalities and Mortality in a Low-Risk Population.
Sung Ho Lee1, Mi Yeon Lee2, Jeonggyu Kang3
1Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.
Electrocardiogram (ECG) abnormalities are linked to increased mortality risk, even in low-risk individuals. Specific findings like left atrial enlargement and left ventricular hypertrophy significantly predict cardiovascular death.
Area of Science:
- Cardiology
- Preventive Medicine
- Medical Diagnostics
Background:
- Electrocardiogram (ECG) is a key noninvasive tool for screening cardiovascular disease and arrhythmias.
- The prognostic value of ECG abnormalities in low-risk populations remains uncertain.
- This study investigates the association between ECG findings and mortality in a large cohort.
Purpose of the Study:
- To evaluate the impact of baseline ECG abnormalities on all-cause and cardiovascular mortality.
- To identify specific ECG abnormalities associated with increased mortality risk.
- To clarify the prognostic significance of ECG findings in a general medical check-up population.
Main Methods:
- Retrospective analysis of baseline ECG data from 660,383 patients.
- Classification of ECG abnormalities using the Minnesota Code.
- Assessment of all-cause and cardiovascular mortality over a median follow-up of 8.8 years.
Main Results:
- 3.6% of participants had major and 16.7% had minor ECG abnormalities.
- Major ECG abnormalities correlated with higher all-cause (HR 1.11) and cardiovascular mortality (HR 1.92).
- Specific abnormalities like left atrial enlargement, left ventricular hypertrophy, and atrial fibrillation were significant predictors of cardiovascular mortality.
Conclusions:
- ECG abnormalities are associated with increased cardiovascular mortality in a low-risk population.
- Left atrial enlargement, left ventricular hypertrophy, atrial fibrillation, and major Q-wave/ST-T abnormalities are key indicators.
- ECG screening can identify individuals at higher risk for adverse cardiovascular outcomes.
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