PP283 - EVALUATING GLIM-DEFINED MALNUTRITION WITH SIX NUTRITIONAL SCREENING TOOLS IN PATIENTS WITH HEMATOLOGICAL MALIGNANCIES

PP283

EVALUATING GLIM-DEFINED MALNUTRITION WITH SIX NUTRITIONAL SCREENING TOOLS IN PATIENTS WITH HEMATOLOGICAL MALIGNANCIES

K. Nikolakopoulou^1,*, K. Sideris², A. Karachaliou², A. Kouka², N. Biniaris², N. Giannakopoulou², M. Arapaki³, E. Bazani⁴, V. Pappa⁴, N.-A. Viniou², K. A. Poulia¹, P. Diamantopoulos²

¹Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, ²Hematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, ³Hematology Department, Laikon General Hospital, National and Kapodistrian University of Athens, ⁴Hematology Department, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece

Rationale: Malnutrition is a negative prognostic factor for patients with hematological malignancies (HM). The aim of this study was to evaluate six nutritional screening tools in detecting Global Leadership Initiative on Malnutrition (GLIM)-defined malnutrition in patients with HM.

Methods: 167 patients [59.3% men, median age 67.0 (54.0-74.0) years; 97 inpatients] with HM were evaluated. Nutritional risk screening was performed using Malnutrition Universal Screening Tool (MUST), Nutritional Risk Screening-2002 (NRS-2002), Malnutrition Screening Tool (MST), Short Nutritional Assessment Questionnaire (SNAQ), Nutritional Risk Index (NRI) and Mini Nutritional Assessment-Short Form (MNA-SF). GLIM diagnostic criteria for malnutrition were applied. Agreement with GLIM criteria was assessed by Cohen’s kappa, and the diagnostic accuracy was determined by sensitivity, specificity, and positive/negative predictive value (PPV/NPV).

Results: Malnutrition was identified in 72.20% of the hospitalized patients and 51.40% of the outpatients. MUST showed high sensitivity (90.00% and 80.56%), specificity (96.30% and 100.0%), PPV (98.44% and 100.0%), NPV (78.79% and 82.93%), and almost perfect agreement with GLIM criteria (κ=0.808, p<0.001 and κ=0.801, p<0.001) in inpatients and outpatients, respectively. In hospitalized patients, NRS-2002 and MST had high specificity (100.00%) and PPV (100.00%), but low sensitivity (71.43%) and NPV (57.45%). MST and SNAQ exhibited high specificity (100.00%) and PPV (100.0%), but low sensitivity (50.00% and 41.67%, respectively) and NPV (65.38% and 61.82%, respectively) in outpatients. In both groups, NRI demonstrated the lowest sensitivity (47.06% and 17.86%, respectively) and poor agreement with GLIM criteria (κ=0.238, p=0.003 and κ=0.074, p=0.409, respectively).

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Conclusion: Malnutrition is highly prevalent in patients with HM, with MUST performing better in this population.

Disclosure of Interest: None declared