PD089 - VALIDATION OF GLIM CRITERIA FOR DIAGNOSIS OF MALNUTRITION AND ASSOCIATION WITH FUNCTIONAL STATUS IN PATIENTS WITH HEMATOLOGICAL MALIGNANCIES

Linked sessions

PD089

VALIDATION OF GLIM CRITERIA FOR DIAGNOSIS OF MALNUTRITION AND ASSOCIATION WITH FUNCTIONAL STATUS IN PATIENTS WITH HEMATOLOGICAL MALIGNANCIES

K. Nikolakopoulou1,*, 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: Patients with hematological malignancies (HM) are at high risk of malnutrition. This study aimed to validate the Global Leadership Initiative on Malnutrition (GLIM) criteria in detecting malnutrition and investigate their association with functional status in patients with HM.

Methods: 167 patients [59.3% men, median age 67.0 (54.0-74.0) years; 97 inpatients] with HM from two university hospitals were enrolled. Nutritional status was evaluated using the nutritional assessment tool Subjective Global Assessment (SGA) and the GLIM diagnostic criteria for malnutrition. Sensitivity, specificity and positive/negative predictive value (PPV/NPV) were calculated to determine the diagnostic accuracy of GLIM criteria, while the agreement with SGA tool was assessed by Cohen’s kappa. Performance status was evaluated using Eastern Clinical Oncology Group (ECOG) scale and its correlation with malnutrition was examined by Spearman’s correlation analysis.

Results: According to the GLIM criteria, the prevalence of malnutrition was 72.2% and 51.4% in hospitalized patients and outpatients, respectively. 58.5% of inpatients and 37.1% of outpatients were diagnosed with malnutrition by SGA. GLIM criteria showed high sensitivity (98.3% and 100.0%) and NPV (96.3% and 100.0%), and satisfactory specificity (65.0% and 77.3%) and PPV (80.0% and 72.2%) compared to SGA, in inpatients and outpatients, respectively. In both groups, the level of agreement between the tools was substantial (κ=0.665, p<0.001 in inpatients and κ=0.716, p<0.001 in outpatients). No significant correlation was observed between malnutrition and functional status (r=0.077, p=0.452 in inpatients and r=-0.055, p=0.651 in outpatients).

Conclusion: GLIM criteria effectively identify malnutrition in patients with HM, supporting their implementation in oncology practice, despite no association with functional status.

Disclosure of Interest: None declared