P378 - NUTRITIONAL STATUS AND PHASE ANGLE: PROGNOSTIC FACTORS IN ADULT ACUTE LEUKEMIA CARE

P378

NUTRITIONAL STATUS AND PHASE ANGLE: PROGNOSTIC FACTORS IN ADULT ACUTE LEUKEMIA CARE

T. Nantes Guiráo^1,*, J. M. Faccioli Sicchieri^1,2, G. Vendruscolo Pizo¹, P. Nogueira Bezan¹, J. Micheletti¹, L. Carvalho Palma², L. Lôbo de Figueiredo Pontes², A. Marliere Navarro^1,2

¹University of São Paulo, ²Hospital das Clínicas de Ribeirão Preto - FMRP USP, Ribeirão Preto, Brazil

Rationale: Acute leukemia, although infrequent in the adult population, presents significant challenges in understanding its influence on nutritional status (NS). This study aims to explore the relationship between NS and survival indicators, to possible develop more targeted and effective nutritional interventions.

Methods: This study focused on adult patients beginning treatment for acute leukemia. Nutritional status was determined using the Global Leadership Initiative on Malnutrition (GLIM) criteria and Body Mass Index (BMI). Body composition and phase angle (PA) were assessed using bioelectrical impedance spectroscopy. We used overall survival (time to death since diagnosis) and mortality as indicators of survival. Correlation tests were conducted at a significance level of p < 0.05.

Results: In this study, 15 patients were analyzed, with a mean age of 28 years (SD ± 15.26). Of these, 60% (n = 9) were female and 87% were diagnosed with acute lymphoblastic leukemia. The mean body mass index (BMI) was 28.54 kg/m² (SD ± 8.48), and the fat mass index (FMI) was 15 kg/m² (SD ± 10). Correlations were identified between BMI and time to death since diagnosis (r = 0.37), BMI and FMI (r = 0.92), and PA and time to death since diagnosis (r = 0.41).

Conclusion: Phase angle has been demonstrated to serve as an indicator of survival in conjunction with nutritional status.These findings highlight not only the importance of monitoring and intervening early in nutritional status, but also the need for a comprehensive nutritional assessment that goes beyond sole reliance on BMI. Incorporating additional nutritional indicators can help more effectively identify high-risk patients and optimize their treatment strategies as part of the therapeutic approach.

Disclosure of Interest: None declared