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Heterogeneous body compositions and all-cause mortality in acute coronary syndrome patients: a ten-year retrospective cohort study.
- Source :
- Journal of Geriatric Cardiology; May2024, Vol. 21 Issue 5, p534-541, 8p
- Publication Year :
- 2024
-
Abstract
- BACKGROUND The association of different body components, including lean mass and body fat, with the risk of death in acute coronary syndrome (ACS) patients are unclear. METHODS We enrolled adults diagnosed with ACS at our center between January 2011 and December 2012 and obtained follow-up outcomes via telephone questionnaires. We used restricted cubic splines (RCS) with the Cox proportional hazards model to analyze the associations between body mass index (BMI), predicted lean mass index (LMI), predicted body fat percentage (BF), and the value of LMI/BF with 10-year mortality. We also examined the secondary outcome of death during hospitalization. RESULTS During the maximum 10-year follow-up of 1398 patients, 331 deaths (23.6%) occurred, and a U-shaped relationship was found between BMI and death risk (P<subscript>nonlinearity</subscript> = 0.03). After adjusting for age and history of diabetes, the overweight group (24 ≤ BMI < 28 kg/m²) had the lowest mortality (HR = 0.53, 95% CI: 0.29-0.99). Predicted LMI and LMI/BF had an inverse linear relationship with a 10-year death risk (P<subscript>nonlinearity</subscript> = 0.24 and P<subscript>nonlinearity</subscript> = 0.38, respectively), while an increase in BF was associated with increased mortality (P<subscript>nonlinearity</subscript> = 0.64). During hospitalization, 31 deaths (2.2%) were recorded, and the associations of the indicators with in-hospital mortality were consistent with the long-term outcome analyses. CONCLUSION Our study provides new insight into the “obesity paradox” in ACS patients, highlighting the importance of considering body composition heterogeneity. Predicted LMI and BF may serve as useful tools for assessing nutritional status and predicting the prognosis of ACS, based on their linear associations with all-cause mortality. [ABSTRACT FROM AUTHOR]
- Subjects :
- DIABETES complications
MORTALITY risk factors
RISK assessment
MYOCARDIAL infarction
ADIPOSE tissues
BODY mass index
MEDICAL personnel
RESEARCH funding
BODY composition
QUESTIONNAIRES
RETROSPECTIVE studies
HOSPITAL mortality
HOSPITALS
EVALUATION of medical care
DESCRIPTIVE statistics
ACUTE coronary syndrome
LONGITUDINAL method
ODDS ratio
LEAN body mass
NUTRITIONAL status
MACHINE learning
COMPARATIVE studies
CONFIDENCE intervals
OBESITY paradox
PROPORTIONAL hazards models
PSYCHOSOCIAL factors
REGRESSION analysis
DISEASE complications
Subjects
Details
- Language :
- English
- ISSN :
- 16715411
- Volume :
- 21
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Geriatric Cardiology
- Publication Type :
- Academic Journal
- Accession number :
- 178258571
- Full Text :
- https://doi.org/10.26599/1671-5411.2024.05.006