Abstract
Malnutrition is a common reality in many hospitals, especially in cancer patients. In order to avoid its late diagnosis, there are screening instruments that help professionals detect nutritional risk early, thus avoiding further damage to the nutritional status. To develop a nutritional screening tool for cancer patients undergoing outpatient treatment. This cross-sectional, observational study was carried out in cancer patients assisted at an outpatient clinic for nutritional care. Data were collected from nutritional care records, including bioelectrical and body composition data (by electrical bioimpedance spectroscopy), anthropometry (adductor pollicis muscle thickness, circumferences, and body mass index), routine clinical biochemical tests, and dynamometry. Malnourished patients were identified through screening using the NRS-2002 method, and all participants were classified according to the GLIM criterion as the control group (no risk and no malnutrition) and the malnourished group. The logistic regression method was used to select the variables that were more sensitive to nutritional risk, thus composing the final screening instrument. The study sample consisted of 72 patients, 58% male, with a mean age of 63 years (±13.3). The malnourished group had a higher frequency of sarcopenia, worse Karnofsky Performance Status (KPS), and lower values for weight, adductor pollicis muscle thickness (APMT), body mass index (BMI), calf circumference (CC), dynamometry (HAND), and fat mass index (FMI) than the control group. After multivariate analyses and analysis of covariance, the final model was devised in the form of an equation containing two variables, which were more associated with malnutrition, the BMI and the KPS. The screening instrument developed in this study resulted in an equation for screening nutritional risk, which included the variables KPS and BMI with 84% assertiveness.
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