Related Experiment Video
Updated: Mar 27, 2026

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
OBESICA study: relationship between BMI and acute heart failure outcome
Òscar Miró1, Miguel A Rizzi, Pablo Herrero
1aEmergency Department, Hospital Clínic bResearch Group 'Emergency Department: Processes and Pathologies', IDIBAPS cEmergency Department, Hospital de la Santa Creu i Sant Pau dEmergency Department, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona eEmergency Department, Hospital Universitario Central de Asturias, Oviedo fEmergency Department gResearch institute Sanitaria, Hospital Clínico San Carlos, Madrid hEmergency Department, Hospital General de Alicante, Alicante, Spain.
Body Mass Index (BMI) in acute heart failure (AHF) patients showed an initial inverse association with mortality, but this link vanished after accounting for other prognostic factors. BMI is not a reliable predictor for AHF outcomes in emergency settings.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- Acute heart failure (AHF) poses a significant health burden.
- The role of Body Mass Index (BMI) in AHF patient outcomes requires further clarification.
- Understanding prognostic factors is crucial for effective AHF management.
Purpose of the Study:
- To investigate the association between BMI and patient outcomes in acute heart failure.
- To determine if BMI can predict mortality or emergency department revisits in AHF patients.
- To assess the clinical utility of BMI in risk stratification for AHF.
Main Methods:
- Secondary analysis of the prospective, multicenter Epidemiology of Acute Heart Failure in Emergency department Registry.
- Inclusion of 1562 AHF patients with follow-up at 3 months and 1 year.
- Proportional risk models used to analyze mortality and revisits in relation to BMI, adjusting for confounding variables.
Main Results:
- BMI was inversely associated with mortality (P<0.001) but not revisits (P=0.70).
- Low weight patients had increased mortality risk (HR 1.75), while overweight/obese patients had reduced risk.
- These associations disappeared after adjusting for confounding factors and other predictive variables.
Conclusions:
- Initial observed relationship between BMI and AHF outcomes is confounded by other factors.
- BMI alone is not a reliable indicator for predicting mortality or reconsultation risk in AHF patients.
- Emergency physicians should not solely rely on BMI for risk estimation in AHF management.
More Related Videos
04:05Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
10:21Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test
Published on: September 22, 2023
Related Concept Videos
Heart Failure IV: Classification and Diagnostic Evaluation
Heart Failure V: Medical Management
Heart Failure VII: Nursing Interventions
Heart Failure I: Introduction
Pathophysiology of Heart Failure
Heart Failure Drugs: β-Blockers