Does Muscle Composition Identify High-Risk Individuals in Chronic Kidney Disease? New AMRA Medical Study Says Yes, Reveals Strong Link to Mortality A recent study presented by AMRA Medical confirms that adverse muscle composition (AMC) is a strong predictor of all-cause mortality in individuals with chronic kidney disease (CKD). Using MRI-based analysis of nearly 900 UK Biobank participants with CKD, researchers found that those exhibiting both low muscle volume and high muscle fat infiltration faced a significantly elevated risk of death over a four-year follow-up period. The study, presented at major scientific conferences in 2024 and 2025, defines AMC as the coexistence of low muscle volume—measured as a sex- and BMI-independent z-score below the 25th percentile—and high muscle fat infiltration (MFI), exceeding the 75th percentile thresholds of >7.69% in men and >8.82% in women. Among the 894 participants analyzed, 32.3% met the criteria for AMC. Over a signify follow-up of 3.6 to 4 years, 50 participants died. In unadjusted analyses, individuals with AMC were over six times more likely to die compared to those with normal muscle composition (hazard ratio [HR] 6.17; 95% CI: 2.36–16.15; p<0.001). After adjusting for age, sex, BMI, proteinuria, grip strength, physical activity, smoking, alcohol use, cancer history, cardiovascular disease, and type 2 diabetes, the association remained robust, with AMC still linked to over four times higher mortality risk (HR 4.21; 95% CI: 1.49–11.84; p=0.007). These findings highlight the potential of MRI-derived muscle composition biomarkers to identify high-risk CKD patients who may benefit from targeted interventions such as nutritional support or exercise programs. By pinpointing this subgroup, AMC assessment could also improve the design of clinical trials evaluating emerging therapies for CKD. The research underscores the importance of moving beyond traditional kidney function markers to include muscle health in risk stratification strategies for chronic kidney disease. As precision imaging tools become more accessible, integrating muscle composition analysis into routine care may offer new opportunities to improve outcomes and survival in this vulnerable population.
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