ABSTRACT
Objective:
The Global Leadership Initiative on Malnutrition, introduced as a useful method in the diagnosis of malnutrition, is supported by little evidence in hospitalized individuals. Therefore, we reviewed this method with two objectives: 1) to compare the diagnostic accuracy of the Global Leadership Initiative on Malnutrition criteria with the Patient-Generated Subjective Global Assessment; 2) to determine the prevalence of malnutrition and its associated factors.
Methods:
Cross-sectional study, conducted with individuals hospitalized between April 2019 and July 2021. Sociodemographic, clinical and anthropometric information was investigated. Global Leadership Initiative on Malnutrition was the index test and Patient-Generated Subjective Global Assessment the standard reference to assess malnutrition. For diagnostic accuracy, measurements of sensitivity, specificity, area under the curve and kappa agreement were considered.
Results:
A total of 105 individuals participated (age 65.9±9.9 years). The prevalence of malnutrition in the total sample was 48.6% and 67.6% according to the Global Leadership Initiative on Malnutrition and Patient-Generated Subjective Global Assessment criteria, respectively. An association was observed between malnutrition and the variables that stand behind hospitalization, metabolic stress and anthropometric indicators (p<0.05). The comparison showed sensitivity and specificity values for the Global Leadership Initiative on Malnutrition criteria of 67.6% (95% CI: 56.1-77.3) and 91.2% (95% CI: 77.0-96.9) (total sample) and 71.7% (95% CI: 58.4-82.0) and 95.5% (95% CI: 78.2-99.2) (elderly), respectively. An agreement of 49% was observed, raising to 55% when the elderly were assessed separately.
Conclusion:
The Global Leadership Initiative on Malnutrition criteria presented adequate sensitivity conditions and specificity to diagnose malnutrition, moderate agreement with the reference standard and good applicability in hospitalized patients’ clinical practice. Prevalence of malnutrition was high, regardless of the method used, and was associated with the reason for hospitalization, metabolic stress and anthropometric indicators.
Keywords:
Aged; Anthropometry; Data accuracy; Hospitalization; Nutrition assessment
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Note: The blue circles (with and without filling) represent the total sample and the orange circles (with and without filling) represent the sub-sample of elderly people. The black circles represent the malnutrition classification according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and the green circles according to the Patient-Generated Subjective Global Assessment (PG-SGA).