Hand grip strength as predictor of undernutrition in hospitalized patients with cancer and a proposal of cut-off.

Autor: Mendes NP; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, MG, Brazil. Electronic address: neliamendes.nut@gmail.com., Barros TA; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, MG, Brazil., Faria BS; Hospital LifeCenter, Belo Horizonte, MG, Brazil., Aguiar ES; Hospital LifeCenter, Belo Horizonte, MG, Brazil., Oliveira CA; Hospital Das Clínicas, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Souza ECG; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, MG, Brazil., Pereira SS; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, MG, Brazil., Rosa COB; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
Jazyk: angličtina
Zdroj: Clinical nutrition ESPEN [Clin Nutr ESPEN] 2020 Oct; Vol. 39, pp. 210-214. Date of Electronic Publication: 2020 Jul 22.
DOI: 10.1016/j.clnesp.2020.06.011
Abstrakt: Background & Aims: Hand Grip Strength (HGS) has been proposed as an indicator of nutritional status, being an easy and non-invasive method and presenting high reliability among evaluators. However, there are no cut-off points. To compare HGS with objective methods of nutritional assessment and to propose a cut-off point for its use as a predictor of malnutrition in cancer patients.
Methods: This is a retrospective study with 76 patients (52.6% females, 56.8 ± 16.6 years old) admitted with a diagnosis of cancer in hospitals of Belo Horizonte (MG, Brazil). We evaluated the HGS of the dominant hand, Body Mass Index (BMI), calf circumference (CC), and arm circumference (AC), using the Receiver Operator Characteristic (ROC) curve analysis, being the Patient-Generated Subjective Global Assessment (PG-SGA) the reference method. Statistical tests were performed according to the distribution of the variables, verified by the Shapiro-Wilk test. The level of significance adopted was 5%.
Results: The HGS was higher in men (p = 0.001) and adults (p = 0.002). The HGS presented a better performance in the prediction of malnutrition (AUC = 0.766, 95% CI = 0.656-0.936) compared to the anthropometric indicators, with a cut-off point of 32.5 kg (sensitivity of 90.5% and specificity of 61.5%). The prevalence of malnutrition was 82.9% and 81.6% for PG-SGA and proposed cut-off point for HGS, respectively.
Conclusions: The HGS was more sensitive to identify individuals at risk of malnutrition compared to other recognized indicators of nutritional status, indicating its application in a hospital setting with cancer patients.
Competing Interests: Declaration of Competing Interest On behalf of all authors, the corresponding author states that there is no conflict of interest.
(Copyright © 2020 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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