Risk factors for 5-year mortality in a cohort of elderly patients with sarcopenia

Background: The association between multiple risk factors and the mortality of sarcopenic patients has not been studied. This study's aim is to report the prevalence of sarcopenia among a sample of Italian hospitalized older adults, describe the physical function, body fat composition, cognitive, inflammatory and nutritional status of sarcopenic compared with non-sarcopenic subjects, and determine the risk factors associated with mortality in sarcopenic patients. Method: A total of 462 patients were enrolled and followed up for a period of 5 years. Sarcopenia was diagnosed according to the EWGSOP2 criteria. Factors associated with sarcopenia were identified with linear regression analysis. Logistic regression was applied to explore the association between the risk factors and mortality in sarcopenic subjects. Survival analyses and predictors of mortality were identified using Kaplan-Meier and Cox regression. Results: The prevalence of sarcopenia was 33.5%. Linear regression showed that sarcopenia was associated with Barthel index (B −9.63, p0.004), BMI (B −3.19, p<0.001) and android fat (B 1.85, p0.004). Of these factors, only the number of co-morbidities (OR 1.394 C95% 1.023–1.862 p 0.025) and MMSE scores (OR 0.857 C95% 0.79–0.930 p <0.001) were associated with mortality in sarcopenia. Kaplan-Meier and the log-rank tests showed the negative prognostic effect of low BMI (p0.007), albumin (p<0.001) and Barthel index (p 0.018). The Cox regression showed that mortality hazard is reduced with BMI >24.9 (HR 0.287 C95% 0.095–0.866 p 0.027). Conclusion: Sarcopenia is associated with low physical function and BMI but higher android fat. Low Barthel, BMI and albumin can significantly decrease the survival rate in sarcopenic patients. Whereas BMI >24.9 is associated with lower mortality hazard.