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.
Department of Sport Rehabilitation Sciences, University of Liège, 4000, Liège, Belgium.
Aging Clin Exp Res. 2021 Jun;33(6):1507-1517. doi: 10.1007/s40520-021-01880-5. Epub 2021 May 15.
The capacity of malnutrition screening to predict the onset of sarcopenia is unknown.
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.
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.
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).
A full diagnosis of malnutrition seems more useful than a simple malnutrition screening to predict the incidence of sarcopenia over 5 years.
营养不良筛查预测肌少症发生的能力尚不清楚。
本研究旨在探讨营养不良筛查与肌少症发生的相关性，然后评估营养不良诊断对预测肌少症的附加价值，随访时间为 5 年。
在基线时根据 MNA 短表（MNA-SF）和长表（MNA-LF）进行营养不良筛查，并根据 GLIM 定义进行诊断。肌少症采用欧洲老年人肌少症工作组（EWGSOP2）标准定义。采用 Kaplan-Meier 分析和调整后的 Cox 回归分析来探讨营养状况与肌少症发生的相关性。
共分析了 418 名参与者（中位年龄 71.7 岁（67.7-76.8），60%为女性），用于我们的第一个目标。其中，64 名（15.3%）参与者在随访期间出现肌少症。在调整后的模型中，MNA 两种形式的营养不良与肌少症的发生风险均无显著相关性（MNA-SF：HR 为 1.68（95%CI 0.95-2.99）；MNA-LF：HR 为 1.67（95%CI 0.86-3.26））。然而，在 337 名可以进行 GLIM 评估的参与者中，有 46 名参与者出现肌少症，与营养良好的参与者相比，营养不良的参与者在 5 年后发生肌少症的风险更高，调整后的 HR 为 3.19（95%CI 1.56-6.50）。
与简单的营养不良筛查相比，全面的营养不良诊断似乎更能预测 5 年内肌少症的发生。
