Why the study?
Atrial fibrillation and atrial flutter are common emergency department arrhythmias, but the predictors associated with cardiovascular risk factors and demographics across different weight categories needed evaluation.
Does weight category affect the association between traditional risk factors or demographics and the presence of atrial fibrillation/flutter?
Does weight category affect the association between traditional risk factors or demographics and the presence of atrial fibrillation/flutter?
Traditional cardiovascular risk factors, male gender, and Caucasian race remain strong independent predictors of atrial fibrillation and flutter across all weight categories, while obesity itself is also independently associated with these arrhythmias.
Traditional atrial fibrillation predictors remain robust across weight categories; extends cross-sectional data but leaves causal modification by obesity open for longitudinal study.
Background/Objectives: Atrial fibrillation and atrial flutter (Afib/Aflut) are the most common arrhythmias presenting to the emergency department. The goal of this study was to evaluate any predictor of Afib/flut with cardiovascular risk factors and demographics based on weight categories. Methods: Using ICD-10 codes from the large Nationwide Inpatient Sample (NIS) database in the years 2016–2020, we evaluate any association between the presence of Afib/Aflut with risk factors and demographics in different weight categories in adults over the age of 18. Results: A total of 23,037,013 afib/flut patients were found in the NIS database. Obesity and morbid obesity were independently associated with the presence of Afib/Aflut (for multivariate OR obesity: 1.28, CI 1.27–1.28, p < 0.001; for morbid obesity: OR 1.9, CI 1.89–1.91, p < 0.001). Regardless of weight categories such as cachexia, overweight, obese, or morbidly obese, traditional risk factors remained independently associated with Afib/Aflut. Furthermore, male gender and Caucasians were independently associated with the presence of Afib/Aflut regardless of any weight categories. (For example, in the overweight categories, the multivariate OR for females was 0.69, CI: 0.69–0.69, p < 0.001, and for African Americans, OR 0.62, CI 0.61–0.62, p < 0.001). Conclusions: Traditional risk factors were persistently associated with the occurrence of atrial fibrillation regardless of weight categories. Furthermore, the Caucasian race and male gender were also strong independent predictors of Afib/Aflut.
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Sparling et al. (2025) studied this question.
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