P716 - DECODING MALNUTRITION RISKS: A GLIM-BASED EVALUATION OF NUTRITIONAL SCREENING TOOLS IN HOSPITALIZED ELDERLY
P716
DECODING MALNUTRITION RISKS: A GLIM-BASED EVALUATION OF NUTRITIONAL SCREENING TOOLS IN HOSPITALIZED ELDERLY
S. Arslan1,*, K. TARI SELCUK1, A. AYDIN2, E. ÖZTAŞ3
1Nutrition and Dietetics, Bandirma Onyedi Eylul University, Balikesir, 2Nutrition and Dietetics, Istanbul Okan University, Istanbul, 3Faculty of Medicine, Bandirma Onyedi Eylul University, Balikesir, Türkiye
Rationale: Malnutrition is a critical public health concern among hospitalized elderly patients, leading to increased morbidity, prolonged hospital stays, and higher healthcare costs. This study aims to evaluate the diagnostic performance of widely used nutritional screening tools against the GLIM criteria to identify the most effective tool for malnutrition detection in clinical practice.
Methods: This cross-sectional study evaluated 842 hospitalized elderly patients aged ≥65 years at Bandırma Training and Research Hospital (June–October 2024). Nutritional status was assessed using MNA-SF, NRS-2002, GMS, and MST, with GLIM criteria as the reference standard. Anthropometric and nutritional data were collected using standardized techniques. Diagnostic performance was analyzed via sensitivity, specificity, and ROC curves. Statistical analyses were conducted in SPSS version 23 (p<0.05).
Results: Malnutrition prevalence among hospitalized elderly patients was 24.5% per GLIM criteria. MNA-SF showed the highest accuracy (88.71%) and specificity (91.2%), while GMS had the highest sensitivity (94.2%). MST and NRS-2002 had moderate performance (Cohen's kappa: 0.620 and 0.587). Malnourished patients had significantly lower BMI, mid-upper arm, and calf circumferences, and longer hospital stays (p<0.05). These findings underscore the need for precise screening tools in elderly care.
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Conclusion: MNA-SF was the most accurate tool for detecting malnutrition in hospitalized elderly patients, aligning well with GLIM criteria. GMS showed high sensitivity, effectively identifying at-risk individuals. Integrating reliable tools like MNA-SF into clinical practice can improve early detection and patient outcomes. Further research is needed to establish a universal gold-standard screening tool.
Disclosure of Interest: None declared