Clinical nutrition ESPEN · 2020
Hand grip strength as predictor of undernutrition in hospitalized patients with cancer and a proposal of cut-off.
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Mendes Nélia Pinheiro, Barros Thalita Alves de, Faria Bruna Soares, Aguiar Erica Silva, Oliveira Cristiane Alves de, Souza Eliana Carla Gomes de, Pereira Solange Silveira, Rosa Carla de Oliveira Barbosa
Аннотация
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.
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.