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Combining hand grip strength with nutritional screening tools in elderly patients with chronic kidney disease
Author(s) -
Anja Vukomanović,
Ivica Vrdoljak,
Ines Panjkota Krbavčić,
Tea Vrdoljak Margeta,
Martina Bituh
Publication year - 2021
Publication title -
hrvatski časopis za prehrambenu tehnologiju, biotehnologiju i nutricionizam
Language(s) - English
Resource type - Journals
eISSN - 1847-7461
pISSN - 1847-3423
DOI - 10.31895/hcptbn.16.1-2.7
Subject(s) - malnutrition , anthropometry , medicine , receiver operating characteristic , grip strength , kidney disease , clinical practice , hemodialysis , gold standard (test) , disease , physical therapy , intensive care medicine
Malnutrition in vulnerable patient populations must be rapidly detected using techniques that are easy to incorporate into everyday clinical practice.The new recommendations defined the 7-point Subjective Global Assessment (SGA) as optimal for nutritional assessment in chronic kidney disease(CKD), while Geriatric Nutrition Risk Index (GNRI) demands additional examination in elderly. This study aimed to determine the accuracy ofseveral concise tools used in the clinical practice and the correlation of this tools with functional method hand grip strength (HGS) in elderly patientswith CKD. In this cross-sectional study, anthropometric and functional data for 50 elderly hemodialysis patients were analyzed using numeroussurvey-based tools for screening nutritional status (Malnutrition Screening Tool – MST, Nutritional Risk Screening 2002 - NRS2002, MalnutritionUniversal Screening Tool - MUST, Mini Nutritional Assessment - MNA, GNRI), which we compared to the standard 7-point SGA nutritionalassessment tool. The sensitivity, specificity, and accuracy of these tools for detecting malnutrition were compared with the standard by using receiveroperating characteristic (ROC) curve analysis. 7-point SGA classified 36.6% of participants as well nourished, and 63.4% as mildly to moderatelymalnourished, while the simplest alternative methods showed lower accuracy, classifying much higher proportions of participants as well nourished(MST, 92.0%; NRS2002, 80.4%). MNA had the highest accuracy based on receiver operating characteristic curves. HGS correlated moderately with7-point SGA (r = 0.331), MNA (r = 0.410), and GNRI (r = 0.320). Our small study suggests that MNA is the best tool for malnutrition risk screeningin elderly with CKD. Combining HGS with concise tools, such as GNRI, may provide better results and unburden healthcare professionals.

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