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Patient-Generated Subjective Global Assessment Short Form better predicts length of stay than Short Nutritional Assessment Questionnaire
- Source :
- Nutrition, 91-92:111366. ELSEVIER SCIENCE INC, Nutrition, 91-92(111366). Elsevier Science
- Publication Year :
- 2021
- Publisher :
- ELSEVIER SCIENCE INC, 2021.
-
Abstract
- 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.
- Subjects :
- 0301 basic medicine
Endocrinology, Diabetes and Metabolism
SCREENING TOOL
Hospital population
patients
patiënten
0302 clinical medicine
NECK-CANCER
Weight loss
Surveys and Questionnaires
risk factors
identity
RISK
OUTCOMES
Nutrition and Dietetics
Confounding
ASSOCIATION
SNAQ
Predictive value
voorspellen
Malnutrition screening
PG-SGA
medicine.symptom
Predictive validity
determineren
risicofactoren
medicine.medical_specialty
Nutritional Status
WEIGHT-LOSS
030209 endocrinology & metabolism
CANCER-PATIENTS
03 medical and health sciences
ziekenhuizen
medicine
Humans
In patient
ondervoeding
HEAD
IMPACT SYMPTOMS
030109 nutrition & dietetics
business.industry
Malnutrition
prediction
medicine.disease
Nutrition Assessment
Physical therapy
Length of stay
hospitals
business
Subjects
Details
- Language :
- English
- ISSN :
- 08999007
- Database :
- OpenAIRE
- Journal :
- Nutrition
- Accession number :
- edsair.doi.dedup.....67a3ab03c50c5ae6e22938654c28cdc7