PP042 - THE CONUT-BAS AND CONUT-BASM MODELS: A MULTIDIMENSIONAL APPROACH TO NUTRITIONAL ASSESSMENT IN OLDER ADULTS
PP042
THE CONUT-BAS AND CONUT-BASM MODELS: A MULTIDIMENSIONAL APPROACH TO NUTRITIONAL ASSESSMENT IN OLDER ADULTS
Z. EROĞLU SOYSAL1,*, A. TEMEL2, O. ULUSOY2, V. ATMIŞ1, V. AYKAÇ3, P. ARI4, S. DEMİRER5
1Department of Geriatrics, 2Department of Internal Medicine, Ankara University Faculty of Medicine, İbn-i Sina Hospital, Ankara, Türkiye, 3Deparment of Geriatrics, Charite Berlin University Faculty of Medicine, Berlin, Germany, 4Department of Clinical Nutrition, 5Department of General Surgery and Clinical Nutrition, Ankara University Faculty of Medicine, İbn-i Sina Hospital, Ankara, Türkiye
Rationale: Malnutrition is multifactorial, and multidimensional assessment may improve its detection. The Controlling Nutritional Status (CONUT) is a laboratory-based nutritional index, while masseter muscle thickness may provide complementary functional information.We aimed to evaluate a model incorporating CONUT, age, BMI, sex, and masseter muscle thickness (CONUT-BAS and CONUT-BASM) for detecting nutritional impairment in older adults.
Methods: Patients aged ≥65 years attending a geriatrics outpatient clinic were included. Exclusion criteria were active infection, inflammatory disease, malignancy, recent major head and neck trauma, and inability to complete assessments. Masseter muscle thickness (MMT) was measured by ultrasonography, and CONUT was calculated from standard components. Nutritional impairment was defined as an MNA score <24. CONUT and MMT were compared between groups using the independent samples t-test or Mann-Whitney U test, as appropriate. Two multivariable logistic regression models were constructed: CONUT-BAS (CONUT, age, sex, BMI) and CONUT-BASM (CONUT-BAS plus MMT). Discrimination was assessed by ROC analysis and AUC.
Results: The study included 134 geriatric outpatients (72.9±5.6 years, 58.2% female). Nutritional impairment was associated with higher CONUT[1 (IQR 2) vs 0 (IQR 1),p=0.036] and lower MMT[8.7 (IQR 1.6) vs 9.5 (IQR 2.2), p=0.006].In univariate analysis, both CONUT and MMT were significant; however, after adjustment for age, sex, and BMI, only CONUT remained independently associated with nutritional impairment(OR 1.52, 95% CI 1.05–2.20, p=0.026). CONUT-BAS had an AUC of 0.728 (75% sensitivity, 63.9% specificity), and adding MMT did not improve discrimination(AUC 0.726).
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Conclusion: CONUT-BAS and CONUT-BASM showed moderate discrimination for nutritional impairment in geriatric outpatients.
Disclosure of Interest: None declared