The Impact of Weight Categories on the Association Between Atrial Fibrillation/Flutter and Known Risk Factors: A

Kennedy Sparling1, Mehrtash Hashemzadeh1, Mohammad Reza Movahed1,2

  • 1Department of Medicine, University of Arizona, Phoenix, AZ 85054, USA.

PubMed

Insights

Obesity and morbid obesity independently predict atrial fibrillation and atrial flutter (Afib/Aflut). Traditional risk factors, male gender, and Caucasian race also predict Afib/Aflut across all weight categories.

Area of Science:

  • Cardiology
  • Epidemiology
  • Public Health

Background:

  • Atrial fibrillation and atrial flutter (Afib/Aflut) are common arrhythmias in emergency departments.
  • Understanding predictors of Afib/Aflut is crucial for patient management.

Purpose of the Study:

  • To identify predictors of Afib/Aflut in relation to cardiovascular risk factors and demographics.
  • To analyze these predictors across different weight categories.

Main Methods:

  • Utilized ICD-10 codes from the Nationwide Inpatient Sample (NIS) database (2016-2020).
  • Analyzed associations between Afib/Aflut and risk factors/demographics in various weight categories for adults >18 years.
  • Employed multivariate logistic regression to assess independent associations.

Main Results:

  • Identified 23,037,013 Afib/Aflut patients in the NIS database.
  • Obesity (OR 1.28) and morbid obesity (OR 1.9) were independently associated with Afib/Aflut.
  • Traditional risk factors, male gender, and Caucasian race remained independent predictors across all weight categories (e.g., overweight females OR 0.69, African Americans OR 0.62).

Conclusions:

  • Traditional cardiovascular risk factors consistently predict atrial fibrillation occurrence, irrespective of weight.
  • Caucasian race and male gender are significant independent predictors of Afib/Aflut.

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