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DOI 10.1159/000550891

Медицинская библиотека · Cardiorenal medicine · 2026

The Relationship between Sarcopenia and All-Cause and Cardiovascular Mortality Risk among Middle-Aged and Older Adults across Stages 0-3 of Cardiovascular-Kidney-Metabolic Syndrome: Evidence from NHANES and CHARLS.

Chen Yan, Liu Yujun, Liu Shiqi, Mu Yafeng, Feng Zhihai

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

INTRODUCTION

Sarcopenia has been proved to be associated with cardiovascular diseases (CVD), chronic kidney disease, and metabolic disorders, but the relationship between sarcopenia and all-cause and cardiovascular mortality risk among middle-aged and older adults across stages 0-3 of cardiovascular-kidney-metabolic (CKM) syndrome remains unclear. This study aimed to investigate the relationship between sarcopenia and all-cause and cardiovascular mortality risk among middle-aged and older adults across stages 0-3 of CKM syndrome based on Nutrition Examination Survey (NHANES) 2011-2018 and the China Health and Retirement Longitudinal Study (CHARLS) 2011-2020.

METHODS

Multivariable Cox regression analysis was performed to analyze the association of sarcopenia with all-cause and CVD mortality. Restricted cubic spline (RCS) analysis was conducted to explore the non-linear relationship between body mass index (BMI)-adjusted muscle mass (appendicular skeletal muscle mass divided by BMI, ASMI) and all-cause and CVD mortality, and machine learning (ML) models were developed for mortality risk prediction. The CHARLS database was utilized as validation to enhance the stability of the results.

RESULTS

Over an average follow-up of 5.11 years, NHANES recorded 85 all-cause deaths and 12 CVD deaths. After the full adjustment, sarcopenia was significantly associated with all-cause mortality (weighted hazard ratio [HR] = 3.428, 95% confidence interval [CI] 1.484-7.915, p = 0.004) and CVD mortality (weighted HR = 1.070, 95% CI 1.009-1.570, p = 0.049). RCS analysis revealed a nonlinear negative relationship between ASMI and CVD mortality (p for nonlinear = 0.009). ML models demonstrated better predictive performance, with random forest (area under the curve = 0.766) achieving the highest accuracy. In the CHARLS cohort, sarcopenia significantly increases all-cause mortality (HR = 2.519, 95% CI 1.402-4.527, p < 0.001), and subgroup analysis reported consistent results with the main analysis.

CONCLUSION

Sarcopenia was significantly associated with all-cause mortality and with CVD mortality in fully adjusted models, though the latter association was modest, and exhibits good predictive performance for mortality among middle-aged and older individuals within CKM stages 0-3.

Для цитирования: Chen Yan, Liu Yujun, Liu Shiqi, Mu Yafeng, Feng Zhihai. The Relationship between Sarcopenia and All-Cause and Cardiovascular Mortality Risk among Middle-Aged and Older Adults across Stages 0-3 of Cardiovascular-Kidney-Metabolic Syndrome: Evidence from NHANES and CHARLS.. Cardiorenal medicine. 2026. DOI: 10.1159/000550891.

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