Smoking-associated Electrocardiographic Abnormalities Predict Cardiovascular Mortality: Insights from NHANES
Affan Irfan1, Daniel W Riggs2, George Koromia3
1Mayo Clinic.
Research Square
|January 23, 2024
Summary
Smoking alters electrocardiogram (ECG) intervals, increasing risks for cardiac events. Specific ECG changes like short PR and long JT intervals predict mortality in smokers, highlighting a need for broader cardiac risk assessment.
Area of Science:
- Cardiology
- Electrophysiology
- Public Health
Background:
- Smoking is linked to cardiac arrhythmias and sudden cardiac death, but underlying mechanisms are unclear.
- Abnormal electrocardiogram (ECG) durations, including QT, P wave, and PR intervals, are known predictors of cardiac events and mortality.
Approach:
- Utilized data from 5,633 adults in the NHANES III study to analyze associations between serum cotinine levels (a marker for smoking) and various ECG interval abnormalities.
- Employed survey-weighted multinomial logistic regression to compare short or long ECG intervals against a reference range in smokers versus non-smokers.
- Conducted linear regression with continuous cotinine levels to assess broader ECG effects and analyzed long-term mortality over 22 years.
Key Points:
- Smoking was associated with increased odds of short PR interval, PR segment, and QRS duration, and a long JT interval.
- Higher cotinine levels showed an inverse association with PR segment and rate-corrected QT (QTc) intervals.
- Several ECG abnormalities, including long JT, QRS, and QTc, and short QRS, predicted cardiovascular mortality in smokers during follow-up.
Conclusions:
- Smoking promotes rapid atrioventricular conduction, rapid ventricular depolarization, and slow ventricular repolarization.
- Electrophysiological abnormalities from smoking predict cardiovascular mortality, but traditional ECG risk markers like QTc may not capture these specific ventricular defects in smokers.
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