• Nutrition · Apr 2019

    Observational Study

    Different methods for diagnosis of sarcopenia and its association with nutritional status and survival in patients with advanced cancer in palliative care.

    • Jaqueline Rodrigues da Silva, Emanuelly Varea Maria Wiegert, Livia Oliveira, and Larissa Calixto-Lima.
    • Postgraduate Program, National Cancer Institute José Alencar Gomes da Silva, Rio de Janeiro, Brazil.
    • Nutrition. 2019 Apr 1; 60: 48-52.

    ObjectivesThe aim of the present study was to evaluate the association between sarcopenia, diagnosed by different muscle mass measurement techniques, with nutritional status and overall survival in patients with advanced cancer under palliative care.AimTo investigate the association of sarcopenia, according to distinct muscle mass measurement methods, with nutritional status and overall survival (OS).MethodsThis observational and prospective study, including 334 patients, defined sarcopenia as reduced muscle mass and strength. Muscle mass was evaluated adopting 3 different methods, mid-upper arm muscle area (MUAMA), calf circumference (CC) and appendicular skeletal muscle mass (ASMI) described by Baumgartner (1998) and adjusted for height. Strength was defined using a handgrip dynamometer and OS was established based on a 90 days follow-up after inclusion date. Kaplan-Meier curves were conducted for survival analyzes and the association between sarcopenia and OS was evaluated by Cox regression model RESULTS: Prevalence of sarcopenia varied from 27-65% according to the method used to evaluate muscle mass. Malnutrition assessed by different parameters was significantly higher in patients with sarcopenia. Patients considered sarcopenic by MUAMA (43 versus 67 days, p<0.001), CC (44 versus 77 days, p<0.001) and ASMI (48 versus 75 days, p<0.001) had significantly lower OS compared to non-sarcopenic patients. Sarcopenia evaluated by MUAMA (HR, 1.57; 95% CI, 1.12-2.18) and CC (HR, 2.00; 95% CI, 1.45-2.76) showed a higher risk of mortality.ConclusionSarcopenia diagnosed by MUAMA and CC could predict mortality and CC proved to be the best prognostic method for estimating OS in patients with advanced cancer in palliative care.Copyright © 2018 Elsevier Ltd. All rights reserved.

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