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

<b>Background/Objectives</b>: 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. <b>Methods</b>: 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. <b>Results</b>: 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, <i>p</i> < 0.001; for morbid obesity: OR 1.9, CI 1.89-1.91, <i>p</i> < 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, <i>p</i> < 0.001, and for African Americans, OR 0.62, CI 0.61-0.62, <i>p</i> < 0.001). <b>Conclusions</b>: 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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Journal
Journal of Clinical Medicine
Published
2025-03-23
DOI
https://doi.org/10.3390/jcm14072187
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
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article

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

Mohammad Reza Movahed, Kennedy Sparling, Mehrtash Hashemzadeh
Journal of Clinical Medicine
Atrial Fibrillation Management and Outcomes
article

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

Mohammad Reza Movahed, Kennedy Sparling, Mehrtash Hashemzadeh
article en

Abstract

<b>Background/Objectives</b>: 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. <b>Methods</b>: 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. <b>Results</b>: 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, <i>p</i> < 0.001; for morbid obesity: OR 1.9, CI 1.89-1.91, <i>p</i> < 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, <i>p</i> < 0.001, and for African Americans, OR 0.62, CI 0.61-0.62, <i>p</i> < 0.001). <b>Conclusions</b>: 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.

Journal of Clinical MedicineVol. 14(7)
University of Arizona (US)
Openalex Percentile: Top 92%
Atrial Fibrillation Management and Outcomes
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The Impact of Weight Categories on the Association Between Atrial Fibrillation/Flutter and Known Risk Factors: A Nationwide Inpatient Data Analysis — Mohammad Reza Movahed, Kennedy Sparling, et al. · Journal of Clinical Medicine (2025) | TGRS Research Map | TGRS