Xing-Liang Zhang1, Zhen Zhang1, Yun-Xia Zhu1, Jun Tao1, Yue Zhang1, Yan-Yan Wang1, Ying-Ying Ke1, Chen-Xi Ren1, Jun Xu1, Xiao-Yan Zhang2. 1. Department of Geriatrics, Shanghai Jiaotong University Affiliated Sixth People's Hospital, No. 600, Yi Shan road, Shanghai, 200233, China. 2. Department of Geriatrics, Shanghai Jiaotong University Affiliated Sixth People's Hospital, No. 600, Yi Shan road, Shanghai, 200233, China. zhangxy971088@hotmail.com.
Abstract
OBJECTIVE: This study aimed to examine the efficacy of Nutritional Risk Screening 2002 (NRS2002) and Mini Nutritional Assessment Short Form (MNA-SF) in recognizing sarcopenia and predicting its mortality in Chinese geriatric hospitalized patients. METHODS: A prospective analysis was performed in 430 hospitalized geriatric patients. Nutrition status was assessed using the NRS2002 and MNA-SF scales. Anthropometric measures and biochemical parameters were carried out for each patient. Sarcopenia was defined according to the revised consensus definition of the European Working Group on Sarcopenia in Older People (EWGSOP2). Patients were follow-up for up to 26 months. RESULTS: The overall prevalence of sarcopenia was 35.3% in this population. In the sarcopenic patients, 53 (34.9%) were malnutrition/nutritional risk according to NRS2002 assessment and 101 (66.4%) patients were malnutrition/nutritional risk according to MNA-SF assessment. NRS2002 vs MNA-SF showed moderate agreement (κ = 0.460, P < 0.001). Receiver operating characteristic analysis showed that the area under the curve of MNA-SF was larger than NRS2002 in recognizing sarcopenia (0.763 vs 0.649, P = 0.001). During a median follow-up time of 20.22 months, 48 (31.6%) sarcopenic patients died. The Kaplan-Meier curve demonstrated that malnutrition/nutritional risk patients according to whether NRS2002 or MNA-SF assessment had a higher risk of death than the normal nutrition patients (χ2 = 15.728, P < 0.001; χ2 = 7.039, P = 0.008, respectively). Age, serum albumin levels, and NRS2002 score were independent factors influencing the mortality. CONCLUSION: MNA-SF score may be better than the NRS2002 score to recognize sarcopenia in Chinese geriatric population. Both NRS2002 and MNA-SF scores could predict mortality, but NRS2002 score was the independent predict factor.
OBJECTIVE: This study aimed to examine the efficacy of Nutritional Risk Screening 2002 (NRS2002) and Mini Nutritional Assessment Short Form (MNA-SF) in recognizing sarcopenia and predicting its mortality in Chinese geriatric hospitalized patients. METHODS: A prospective analysis was performed in 430 hospitalized geriatric patients. Nutrition status was assessed using the NRS2002 and MNA-SF scales. Anthropometric measures and biochemical parameters were carried out for each patient. Sarcopenia was defined according to the revised consensus definition of the European Working Group on Sarcopenia in Older People (EWGSOP2). Patients were follow-up for up to 26 months. RESULTS: The overall prevalence of sarcopenia was 35.3% in this population. In the sarcopenic patients, 53 (34.9%) were malnutrition/nutritional risk according to NRS2002 assessment and 101 (66.4%) patients were malnutrition/nutritional risk according to MNA-SF assessment. NRS2002 vs MNA-SF showed moderate agreement (κ = 0.460, P < 0.001). Receiver operating characteristic analysis showed that the area under the curve of MNA-SF was larger than NRS2002 in recognizing sarcopenia (0.763 vs 0.649, P = 0.001). During a median follow-up time of 20.22 months, 48 (31.6%) sarcopenic patientsdied. The Kaplan-Meier curve demonstrated that malnutrition/nutritional risk patients according to whether NRS2002 or MNA-SF assessment had a higher risk of death than the normal nutrition patients (χ2 = 15.728, P < 0.001; χ2 = 7.039, P = 0.008, respectively). Age, serum albumin levels, and NRS2002 score were independent factors influencing the mortality. CONCLUSION:MNA-SF score may be better than the NRS2002 score to recognize sarcopenia in Chinese geriatric population. Both NRS2002 and MNA-SF scores could predict mortality, but NRS2002 score was the independent predict factor.
Authors: J Álvarez-Hernández; M Planas Vila; M León-Sanz; A García de Lorenzo; S Celaya-Pérez; P García-Lorda; K Araujo; B Sarto Guerri Journal: Nutr Hosp Date: 2012 Jul-Aug Impact factor: 1.057
Authors: Maria Amasene; María Medrano; Iñaki Echeverria; Miriam Urquiza; Ana Rodriguez-Larrad; Amaia Diez; Idoia Labayen; Besga-Basterra Ariadna Journal: Front Nutr Date: 2022-06-24