Heterogeneous body compositions and all-cause mortality in acute coronary syndrome patients: a ten-year retrospective cohort study.

Autor:	Guang-Zhi LIAO, Lin BAI, Yu-Yang YE, Xue-Feng CHEN, Xin-Ru HU, Yong PENG
Předmět:	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
Zdroj:	Journal of Geriatric Cardiology; May2024, Vol. 21 Issue 5, p534-541, 8p
Abstrakt:	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 (Pnonlinearity = 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 (Pnonlinearity = 0.24 and Pnonlinearity = 0.38, respectively), while an increase in BF was associated with increased mortality (Pnonlinearity = 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]
Databáze:	Complementary Index
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