Abstract
BackgroundLoss of muscle mass (MM) is common in advanced stages of cancer, with an impact on worsening quality of life (QoL). In the current study the relationship of a previously proposed simple grade system to assess MM phenotypes with QoL was investigated to strengthen its clinical significance. AimTo verify whether the MM phenotypes, which were evaluated by using a grading system, are associated with the quality of life (QoL) of patients with incurable cancer. MethodsSecondary data from a cohort of patients with incurable cancer in palliative care, were analyzed. The grade system considers measurements of the muscle area arm and handgrip strength. Based on these measurements, patients are classified as probably non-sarcopenic (Nsarc), probably sarcopenic (PSarc), and sarcopenic (Sarc). The outcome measure was QoL domains assessed by the EORTC QoL Questionnaire Core-15. Logistic regression models were used to verify the association of the domains of QoL with the MM phenotypes. ResultsA total of 770 patients were included, median age 62 years and 56.6% females. The PSarc group had significantly worse scores in the QoL domains when compared to the Nsarc group (physical p= 0.001, emotional p= 0.018, fatigue p<0.001, nausea p= 0.017, insomnia p= 0.001, appetite loss p= 0.002, and global health p= 0.043). Adjusted logistic regression analysis showed an increased risk of worse QoL in the PSarc and Sarc, when compared to NSarc, respectively (Odds ratio [OR], 95% confidence interval [CI]): physical (OR: 2.54, CI: 1.78-3.62 and OR: 7.18, CI: 4.24-12.17), emotional (OR: 1.61, CI: 1.15-2.24 and OR: 1.49, CI: 1.01-2.20), fatigue (OR: 1.89, CI: 1.35-2.64 and OR: 1.83, CI: 1.23-2.71), insomnia (OR: 2.01, CI: 1.43-2.83 and OR: 3.11, CI: 2.04-4.75), while an appetite loss was associated with the PSarc (OR: 1.40, CI: 1.02-1.96), together with global health in the Sarc group (OR: 1.56, CI: 1.06-2.29). ConclusionThe severity of the MM phenotype was associated with a worse QoL domains. Our results highlight the importance of MM preserving to affecting QoL status. The grading system can be useful for predicting the QoL in those patients, and its usefulness can potentially impact clinical and therapeutic decision-making.
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