title: Prognostic validity of 3-Minute Nutrition Screening (3-MinNS) in predicting length of hospital stay, readmission, cost of hospitalisation and mortality: a cohort study.
abstract: It is important to identify patients who are at risk of malnutrition upon hospital admission as malnutrition results in poor outcomes such as longer length of hospital stay, readmission, hospitalisation cost and mortality. The aim of this study was to determine the prognostic validity of 3-Minute Nutrition Screening (3-MinNS) in predicting hospital outcomes in patients admitted to an acute tertiary hospital through a list of diagnosis-related groups (DRG). In this study, 818 adult patients were screened for risk of malnutrition using 3-MinNS within 24 hours of admission. Mortality data was collected from the National Registry with other hospitalisation outcomes retrieved from electronic hospital records. The results were adjusted for age, gender and ethnicity, and matched for DRG. Patients identified to be at risk of malnutrition (37%) using 3-MinNS had significant positive association with longer length of hospital stay (6.6 ± 7.1 days vs 4.5 ± 5.5 days, p<0.001), higher hospitalisation cost (S$4540 ± 7190 vs S$3630 ± 4961, p<0.001) and increased mortality rate at 1 year (27.8% vs 3.9%), 2 years (33.8% vs 7.2%) and 3 years (39.1% vs 10.5%); p<0.001 for all. The 3-MinNS is able to predict clinical outcomes and can be used to screen newly admitted patients for nutrition risk so that appropriate nutrition assessment and early nutritional intervention can be initiated.
authors.affiliation: Dietetics Department, National University Hospital, 5 Lower Kent Ridge Road, Main Building, Level 1, Singapore 119074. su_lin_lim@nuhs.edu.sg.
authors.forename: Su Lin
authors.initials: SL
authors.lastname: Lim
authors.forename: Coryn Jingmin
authors.initials: CJ
authors.lastname: Lee
authors.forename: Yiong Huak
authors.initials: YH
authors.lastname: Chan
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000886:Anthropometry; D003365:Costs and Cost Analysis; D005006:Ethnicity; D005260:Female; D006760:Hospitalization / Q000191:economics*; D006801:Humans; D007902:Length of Stay; D008297:Male; D044342:Malnutrition / Q000175:diagnosis; D008875:Middle Aged; D009026:Mortality; D015596:Nutrition Assessment; D009752:Nutritional Status; D010359:Patient Readmission / Q000706:statistics & numerical data*; D011379:Prognosis; D012307:Risk Factors; D016896:Treatment Outcome