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Published on: July 20, 2022
The Effect of Anthropometric Measurements on the Incidence of Atrial Fibrillation in Patients With Acute Myocardial
Tulay Oskay1, Yasin Turker2, Alten Oskay3
1Department of Cardiology, Bucak State Hospital, Burdur, TUR.
Insights
Body mass index and waist circumference do not predict atrial fibrillation after myocardial infarction. Age, pulse rate, peak troponin T, and CICU stay are key predictors of AFib in acute MI patients.
Area of Science:
- Cardiology
- Internal Medicine
- Clinical Research
Background:
- Atrial fibrillation (AFib) is a common arrhythmia post-myocardial infarction (MI).
- Anthropometric factors like BMI and waist circumference are investigated for AFib risk.
- Understanding AFib predictors is crucial for patient management after acute MI.
Purpose of the Study:
- To assess the impact of Body Mass Index (BMI) and waist circumference on new-onset AFib in acute myocardial infarction (MI) patients.
- To identify independent predictors of AFib following acute MI.
Main Methods:
- Prospective, cross-sectional, observational study in a coronary intensive care unit (CICU).
- Included patients with ST-elevation MI (STEMI) or non-STEMI (NSTEMI).
- Collected demographic, clinical, laboratory, and anthropometric data; continuous ECG monitoring for AFib detection; multiple regression analysis for predictor identification.
Main Results:
- AFib occurred in 9.3% of the study cohort.
- No significant differences in BMI or waist circumference were found between patients with and without AFib.
- Independent predictors of AFib included older age, elevated pulse rate, higher peak troponin T levels, and longer CICU stay.
Conclusions:
- BMI and waist circumference are not significant predictors of AFib in the acute phase of MI.
- Age, pulse rate, peak troponin T, and CICU length of stay are significant independent predictors of AFib development post-MI.
Abstract:
Background and objective Atrial fibrillation (AFib) is the most common supraventricular arrhythmia occurring after myocardial infarction (MI). Height, body weight, waist and hip circumference, and body mass index (BMI) are considered potential risk factors for the development of AFib. The aim of this study was to investigate the effect of BMI and waist circumference on the incidence of AFib in patients with acute MI. Methods This prospective, cross-sectional, observational study was conducted in the coronary intensive care unit (CICU) of a tertiary care university hospital between July 2014 and February 2016. Patients diagnosed with ST-elevation myocardial infarction (STEMI) or non-ST-elevation myocardial infarction (NSTEMI) were included. Demographic, clinical, echocardiographic, and laboratory data, past medical history, and anthropometric measurements were recorded. Continuous electrocardiography (ECG) monitoring was performed for following up on the occurrence of AFib. Then, AFib predictors were identified using multiple regression analysis. Results AFib developed in 31 (9.3%) patients in the cohort. No significant difference was observed between patients with or without AFib in terms of BMI and waist circumference values (p=0.686 vs. p=0.728, respectively). Factors associated with AFib development as per the multivariate analyses included age (OR: 1.051, 95% CI: 1.013-1.09; p=0.008), pulse rate (OR: 1.043, 95% CI: 1.018-1.069; p=0.001), peak troponin T value (OR: 1.356, 95% CI: 1.135-1.619; p=0.001), and length of CICU stay (OR: 2.247, 95% CI: 1.163-4.340; p=0.016). Conclusion BMI and waist circumference measurements were similar in patients with and without AFib during acute MI. Age, pulse rate, peak troponin T, and duration of CICU stay were identified as independent predictors of AFib development.
