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体重类别对心房颤动/扑动与已知危险因素之间关联的影响:一项全国住院患者数据分析。

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

作者信息

Sparling Kennedy, Hashemzadeh Mehrtash, Movahed Mohammad Reza

机构信息

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

Department of Medicine, University of Arizona Sarver Heart Center, Tucson, AZ 85719, USA.

出版信息

J Clin Med. 2025 Mar 23;14(7):2187. doi: 10.3390/jcm14072187.

Abstract

: 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. : 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. : 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, < 0.001; for morbid obesity: OR 1.9, CI 1.89-1.91, < 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, < 0.001, and for African Americans, OR 0.62, CI 0.61-0.62, < 0.001). : 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.

摘要

心房颤动和心房扑动(房颤/房扑)是急诊科最常见的心律失常。本研究的目的是基于体重类别评估房颤/房扑与心血管危险因素及人口统计学特征之间的任何预测因素。:利用2016 - 2020年大型全国住院患者样本(NIS)数据库中的ICD - 10编码,我们评估了18岁以上成年人不同体重类别中房颤/房扑的存在与危险因素及人口统计学特征之间的任何关联。:在NIS数据库中总共发现了23,037,013例房颤/房扑患者。肥胖和病态肥胖与房颤/房扑的存在独立相关(多变量OR值:肥胖为1.28,CI为1.27 - 1.28,<0.001;病态肥胖为OR 1.9,CI为1.89 - 1.91,<0.001)。无论体重类别是恶病质、超重、肥胖还是病态肥胖,传统危险因素都与房颤/房扑独立相关。此外,无论体重类别如何,男性和白种人与房颤/房扑的存在独立相关。(例如,在超重类别中,女性的多变量OR值为0.69,CI:0.69 - 0.69,<0.001,非裔美国人的OR值为0.62,CI为0.61 - 0.62,<0.001)。:无论体重类别如何,传统危险因素都与房颤的发生持续相关。此外,白种人和男性也是房颤/房扑的强有力独立预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0308/11989971/92c73e9a691d/jcm-14-02187-g001.jpg

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