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March 21, 2026Cardiorenal Medicine1 citationsOpen Access

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

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YCYan ChenYLYujun LiuSLShiqi Liu

Key Points

  • To explore the link between sarcopenia and all-cause and cardiovascular mortality in older adults across CKM stages 0-3.
  • Analyzed NHANES data from 2011-2018 and CHARLS data from 2011-2020.
  • Used multivariable Cox regression to assess mortality risk.
  • Conducted RCS analysis to evaluate the relationship between muscle mass and mortality.
  • Developed machine learning models for mortality risk prediction.
  • Sarcopenia linked to all-cause mortality (HR = 3.428) and cardiovascular mortality (HR = 1.070).
  • RCS analysis showed a significant non-linear relationship between muscle mass and CVD mortality.
  • Machine learning model (random forest) achieved high predictive accuracy (AUC=0.766).
  • CHARLS data supported findings, showing sarcopenia increases all-cause mortality (HR = 2.519).

Abstract

Background: Sarcopenia has been proved to be associated with cardiovascular diseases, 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. Purpose: 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 cardiovascular disease (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 HR = 3.428, 95% 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 robust predictive performance, with random forest (AUC=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 is significantly associated with all–cause and CVD mortality, and exhibits robust predictive performance for mortality among middle-aged and older individuals within CKM stages 0–3.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69be36bf6e48c4981c675e2ahttps://doi.org/10.1159/000550891
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Association of sarcopenia and longitudinal changes in sarcopenia status with all-cause mortality in individuals with cardiovascular-kidney-metabolic syndrome2026
  2. 2Association between sarcopenia and components of metabolic syndrome among Chinese older adults: a population-based longitudinal study using CHARLS2025 · 8 citations
  3. 3Association of sarcopenic obesity with advanced cardiovascular-kidney-metabolic syndrome and incident cardiovascular disease: a longitudinal and cross-sectional study2026
  4. 4#986 Sarcopenia and chronic kidney disease among adults over 45 years old: findings from CHARLS2024
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