ID-5184 Wonca Abstracts supplement A-K 13-10-23 - Flipbook - Page 188
WONCA 2023 Supplement 1: WONCA 2023 abstracts (A–K)
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The GLIM criteria for defining malnutrition can predict twoyear unplanned hospital admission in unintentional weight
loss outpatients
Dr Ruoshu Duan, Jingjing Ren, Jiahong Zhu, Ying Liu
Department of General Practice, First Affiliated Hospital, School of Medicine, Zhejiang University
Background
This study aimed to assess malnutrition using the Global Leadership Initiative on Malnutrition (GLIM)
criteria and Subjective Global Assessment (SGA) at baseline and determine the GLIM criteria that best
predicted unplanned hospitalisation in unintentional weight loss (UWL) outpatients.
Methods
A retrospective cohort study of 257 adult outpatients with UWL was performed. The GLIM criteria and
SGA agreement were reported using Cohen’s kappa coefficient. Kaplan–Meier survival curves and
adjusted Cox regression analyses were used for survival data. Logistic regression was used for the
other correlation analysis.
Results
This study collected data from 257 patients for two years. Based on the GLIM criteria and SGA,
malnutrition prevalence was 79.0% and 72.0%, respectively (κ = 0.728, P < 0.001). Using SGA as
a standard, GLIM had a sensitivity of 97.8%, a specificity of 69.4%, a positive predictive value of
89.2% and a negative predictive value of 92.6%. Malnutrition was associated with higher rates of
unplanned hospital admission independent of other prognostic factors (GLIM: hazard ratio [HR] 2.85,
95% confidence interval (CI): 1.22, 6.68; SGA: HR 2.07, 95% CI: 1.13, 3.79). Of the five GLIM criteriarelated diagnostic combinations, disease burden or inflammation was the most important to predict
unplanned hospital admission in multivariable analysis (HR 3.27, 95% CI: 2.03, 5.28).
Conclusion
There was good agreement between the GLIM criteria and SGA. GLIM-defined malnutrition, as well
as all five GLIM criteria-related diagnosis combinations, had the potential to predict unplanned hospital
admissions in UWL outpatients within two years.
Key words
Global Leadership Initiative on Malnutrition, malnutrition universal screening tool, Subjective Global
Assessment, body mass index, general practice.
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