Related Experiment Video
Updated: May 14, 2025

Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
Published on: February 26, 2013
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.
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.
Abstract:
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.
More Related Videos
Related Concept Videos
Factors affecting Blood pressure
Physiological Factors:
Disturbances in Heart Rhythm
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
Factors Influencing Heart Rate
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Antiarrhythmic Drugs: Class II Agents as β-Adrenergic Blockers
Exercise and Cardiovascular Response
Light to moderate physical activity initiates a series of interconnected responses in the body. The heart rate modestly increases in anticipation of the workout, followed by widespread vasodilation as oxygen consumption by skeletal muscles increases. This results in decreased peripheral resistance, increased capillary blood flow, and accelerated...
Decreased pulse rate
There are specific risk factors that can elevate the likelihood of developing bradycardia. Advanced age is a significant factor, with...

