P271 - UTILITY OF BIOELECTRICAL IMPEDANCE VECTOR ANALYSIS IN HOSPITALIZED POLYMORBID PATIENTS WITH HEART FAILURE

P271

UTILITY OF BIOELECTRICAL IMPEDANCE VECTOR ANALYSIS IN HOSPITALIZED POLYMORBID PATIENTS WITH HEART FAILURE

D. M. Rodríguez Gómez^1,*, Y. García Delgado¹, P. Rodríguez del Rosario¹, M. Boronat Cortés¹, A. M. C. Wägner¹

¹Endocrinology and Clinical Nutrition, Hospital Insular de Gran Canaria, Las Palmas de Gran Canaria, Spain

Rationale: To evaluate bioelectrical impedance vector analysis (BIVA) with raw bioelectrical data as prognostic markers in polymorbid heart failure (HF) patients hospitalized with acute decompensation, where conventional nutritional tools are limited.

Methods: Prospective cohort study of patients admitted with HF to Internal Medicine Department of the Insular-Materno Infantil Universitary Hospital of Gran Canaria (Dec 2022–Apr 2023). Clinical data, comorbidities, functional status (Barthel Index), and nutritional risk (MNA-SF) were collected. BIVA at 50 kHz assessed raw BIVA parameters:resistance (R), reactance(Xc), phase angle (PhA). Outcomes included length of stay, in-hospital mortality, and mortality during follow-up (Dec 31, 2024). The association between raw BIVA parameters and in-hospital mortality was assessed using linear regression. For variables showing a significant relationship, ROC curve analysis was conducted to identify predictive cutoff points. The Mann–Whitney U test was used to evaluate mortality differences based on these cutoffs. Survival was analyzed using Cox regression and Kaplan–Meier curves. 

Results: 32 patients (78% women), mean age 81.6 years, were included. Women were older and had lower functional scores. Average hospital stay was 15.5 days. In-hospital mortality was 15.7%; overall mortality during follow-up was 43%. Xc and SPA were significantly associated with in-hospital mortality (Xc: p < 0.001; SPA: p = 0.012). Xc < 31.9 predicted mortality with 72% sensitivity and 100% specificity (AUC = 0.88). Reduced Xc was associated with higher in-hospital mortality (p = 0.006) and long-term mortality (HR 5.99; p = 0.003).

Image:

Conclusion: Older HF patients often present with complex clinical profiles that limit standard nutritional assessments. Raw BIVA data, especially reactance (Xc), enables quick bedside risk stratification and shows potential as a prognostic tool in this population.

Disclosure of Interest: None declared