ArticleJPEN. Journal of parenteral and enteral nutrition2026
Nutrition impact symptoms and the risk of malnutrition, frailty, and sarcopenia in adults with cancer: A cross-sectional latent class analysis.
Article in JPEN. Journal of parenteral and enteral nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Abstract
backgroundMalnutrition, frailty, and sarcopenia are common and interrelated in patients with cancer, yet their associations with nutrition impact symptom clusters remain unclear. This study examined the overlap of these conditions, and their relationships with symptom clusters in adults with cancer.
methodsMalnutrition was assessed using the Patient-Generated Subjective Global Assessment and Global Leadership Initiative on Malnutrition criteria, frailty using the FRAIL scale, and sarcopenia using the 2019 Asian Working Group for Sarcopenia consensus. Latent class analysis identified nutrition impact symptom clusters. Logistic regression models evaluated associations between symptom clusters and the three conditions.
resultsThis cross-sectional latent class analysis included 28,377 hospitalized adults with cancer (median age 58 years; 55.3% male). Gastrointestinal (41.0%) and lung (23.1%) cancers were the most common diagnoses. The prevalence of malnutrition, frailty and sarcopenia was 56.4%, 37.7%, and 16.9%, respectively. Weight loss and low muscle mass represent key shared features of their coexistence. Five nutrition impact symptom clusters were identified and ranked by severity. Patients with severe multi-symptom cluster had 3.87-fold higher odds of malnutrition and 6.03-fold higher odds of frailty. Patients with the gastrointestinal-dominant symptom cluster were most likely to experience malnutrition, whereas those with the sensory-alteration symptom cluster were most likely to exhibit frailty.
conclusionMaintaining stable body weight, particularly muscle mass, is crucial for cancer patients to reduce the risk of comorbidity among these conditions. Identifying nutrition impact symptom clusters and providing targeted interventions may help reduce the burden of these conditions and improve the efficiency of nutritional care.
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