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Relationship between Novel Anthropometric Indices and the Prevalence of Abdominal Aortic Calcification: A Large Cross-Sectional Study.
Yin, Yanwei; Wu, Hanzhi; Lei, Fangmeng; Lu, Wenlin; Shen, Yanqing; Hu, Wenjing; Liu, Xiaoxiao; Ye, Xinhe; Yang, Chengjian.
  • Yin Y; Department of Cardiology, Wuxi No.2 People's Hospital, 214000 Wuxi, Jiangsu, China.
  • Wu H; Department of Cardiology, Wuxi No.2 People's Hospital, Wuxi Clinical College of Nanjing Medical University, 214000 Wuxi, Jiangsu, China.
  • Lei F; Department of Cardiology, Wuxi No.2 People's Hospital, 214000 Wuxi, Jiangsu, China.
  • Lu W; Department of Cardiology, Wuxi No.2 People's Hospital, 214000 Wuxi, Jiangsu, China.
  • Shen Y; Department of Cardiology, Wuxi No.2 People's Hospital, 214000 Wuxi, Jiangsu, China.
  • Hu W; Department of Cardiology, Wuxi No.2 People's Hospital, 214000 Wuxi, Jiangsu, China.
  • Liu X; Department of Cardiology, Wuxi No.2 People's Hospital, 214000 Wuxi, Jiangsu, China.
  • Ye X; Department of Cardiology, Wuxi No.2 People's Hospital, 214000 Wuxi, Jiangsu, China.
  • Yang C; Department of Cardiology, Wuxi No.2 People's Hospital, Wuxi Clinical College of Nanjing Medical University, 214000 Wuxi, Jiangsu, China.
Rev Cardiovasc Med ; 24(12): 349, 2023 Dec.
Article en En | MEDLINE | ID: mdl-39077070
ABSTRACT

Background:

The relationship between novel anthropometric indices, specifically a body shape index (ABSI) and body roundness index (BRI), with abdominal aortic calcification (AAC) or severe AAC (SAAC) is unclear. The aim of our study was therefore to investigate possible relationships between novel anthropometric indices and prevalence of AAC and SAAC.

Methods:

We obtained U.S. general population data from the National Health and Nutrition Examination Survey between 2013 and 2014. The study used restricted cubic spline (RCS) analysis, multivariable logistic regression modeling, subgroup analysis, and receiver operating characteristic (ROC) curve assessment. We investigated relationships between ABSI or BRI and AAC and SAAC risk. Associations between ABSI or BRI and the degree of AAC were also evaluated using a generalized additive model.

Results:

The study cohort was comprised of 1062 individuals. The RCS plots revealed a U-shaped curve associating ABSI with AAC risk. A similar trend emerged for SAAC, where the risk initially increased before subsequently decreasing with rising ABSI levels. Additionally, BRI exhibited a positive correlation with both AAC and SAAC risk. As ABSI and BRI values increased, the degree of AAC also increased. In ROC analysis, ABSI displayed a significantly larger area under the curve compared to BRI.

Conclusions:

ABSI is associated with AAC prevalence following a U-shaped curve. Additionally, BRI is positively correlated with AAC risk. ABSI demonstrates a superior discriminative ability for AAC compared to BRI. Therefore, maintaining an appropriate ABSI and BRI may reduce the prevalence of AAC.
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