Patient-Generated Subjective Global Assessment Short Form better predicts length of stay than Short Nutritional Assessment Questionnaire

Objective: Malnutrition screening instruments used in hospitals mainly include criteria to identify characteristics of malnutrition. However, to tackle malnutrition in an early stage, identifying risk factors for malnutrition in addition to characteristics may be valuable. The aim of this study was to determine the predictive validity of the Patient-Generated Subjective Global Assessment (PG-SGA SF), which addresses malnutrition characteristics and risk factors, and the Short Nutritional Assessment Questionnaire (SNAQ), which addresses mainly malnutrition characteristics, for length stay (LOS) in a mixed hospital population. Methods: Patients (N = 443) were screened with the PG-SGA SF and SNAQ in the first 72 h after admission the lung, cardiology, or surgery ward. The McNemar-Bowker test was used to investigate the symmetry between the SNAQ and PG-SGA SF categorization for low, medium, and high risk. The predictive value of the PG-SGA SF and SNAQ was assessed by gamma-regression before and after adjusting for several confounders. Results: Of the 443 patients included, 23% and 58% were categorized as being at medium/high risk for malnutrition according to the SNAQ and PG-SGA SF, respectively. The regression analysis indicated that LOS high-risk patients according to PG-SGA SF was 36% longer than that of low-risk patients (P = 0.001). LOS patients at high risk according to the SNAQ did not significantly differ from that of SNAQ low-risk patients. Conclusions: The PG-SGA SF, as a proactive malnutrition screening instrument, predicts LOS in various hospital wards, whereas the SNAQ, as a reactive instrument, does not. Therefore, we recommend the PG-SGA for proactive screening for malnutrition risk. (C) 2021 The Authors. Published by Elsevier Inc.

Automated summary

This study aimed to investigate the predictive validity of two malnutrition screening tools in different hospital wards, and found that PG-SGA SF as a proactive screening tool can predict length of stay, while SNAQ cannot. Therefore, proactive screening for malnutrition risk using PG-SGA is recommended.