Laetitia Lengelé1, Olivier Bruyère2,3,4, Charlotte Beaudart2, Jean-Yves Reginster2,5, Médéa Locquet2. 1. WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU-Sart Tilman, Quartier Hôpital, Avenue Hippocrate 13 (Bât. B23), 4000, Liège, Belgium. llengele@uliege.be. 2. WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU-Sart Tilman, Quartier Hôpital, Avenue Hippocrate 13 (Bât. B23), 4000, Liège, Belgium. 3. Department of Sport Rehabilitation Sciences, University of Liège, 4000, Liège, Belgium. 4. Physical, Rehabilitation Medicine and Sports Traumatology, University Hospital of Liège, SportS2, 4000, Liège, Belgium. 5. Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Abstract
BACKGROUND: The capacity of malnutrition screening to predict the onset of sarcopenia is unknown. AIM: Our first objective is to explore the association between the screening of malnutrition and the incidence of sarcopenia and then, to assess the added value of the diagnosis of malnutrition to predict sarcopenia over a 5-year follow-up. METHODS: Malnutrition was screened at baseline according to the MNA short-form (MNA-SF) and long-form (MNA-LF) and was diagnosed by the GLIM definition. Sarcopenia was defined using the European Working Group on Sarcopenia in Older People (EWGSOP2) criteria. Kaplan-Meier analysis and adjusted Cox regression were performed to explore the association between nutritional status and the incidence of sarcopenia. RESULTS: A total of 418 participants were analyzed (median age 71.7 years (67.7 - 76.8), 60% women) for our first objective. Among them, 64 (15.3%) became sarcopenic during the follow-up period. In the adjusted model, the incidence of sarcopenia was nonsignificantly associated with the risk of malnutrition for both forms of the MNA (MNA-SF: HR of 1.68 (95% CI 0.95 - 2.99); MNA-LF: HR of 1.67 (95% CI 0.86 - 3.26)). However, among the 337 participants for which a GLIM assessment was possible and in which 46 participants became sarcopenic, malnourished subjects had a higher risk than well-nourished participants of developing sarcopenia after 5 years, with an adjusted HR of 3.19 (95% CI 1.56 - 6.50). CONCLUSION: A full diagnosis of malnutrition seems more useful than a simple malnutrition screening to predict the incidence of sarcopenia over 5 years.
BACKGROUND: The capacity of malnutrition screening to predict the onset of sarcopenia is unknown. AIM: Our first objective is to explore the association between the screening of malnutrition and the incidence of sarcopenia and then, to assess the added value of the diagnosis of malnutrition to predict sarcopenia over a 5-year follow-up. METHODS:Malnutrition was screened at baseline according to the MNA short-form (MNA-SF) and long-form (MNA-LF) and was diagnosed by the GLIM definition. Sarcopenia was defined using the European Working Group on Sarcopenia in Older People (EWGSOP2) criteria. Kaplan-Meier analysis and adjusted Cox regression were performed to explore the association between nutritional status and the incidence of sarcopenia. RESULTS: A total of 418 participants were analyzed (median age 71.7 years (67.7 - 76.8), 60% women) for our first objective. Among them, 64 (15.3%) became sarcopenic during the follow-up period. In the adjusted model, the incidence of sarcopenia was nonsignificantly associated with the risk of malnutrition for both forms of the MNA (MNA-SF: HR of 1.68 (95% CI 0.95 - 2.99); MNA-LF: HR of 1.67 (95% CI 0.86 - 3.26)). However, among the 337 participants for which a GLIM assessment was possible and in which 46 participants became sarcopenic, malnourished subjects had a higher risk than well-nourished participants of developing sarcopenia after 5 years, with an adjusted HR of 3.19 (95% CI 1.56 - 6.50). CONCLUSION: A full diagnosis of malnutrition seems more useful than a simple malnutrition screening to predict the incidence of sarcopenia over 5 years.
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