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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

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

Simple clinical criteria to determine the prognosis of heart failure

J Thomas Heywood1, Wafaa Elatre, Ramdas G Pai

  • 1Department of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.

Journal of Cardiovascular Pharmacology and Therapeutics
|October 8, 2005
PubMed

Insights

Ejection fraction improvement is key for heart failure survival. In patients without improvement, age and renal function predict outcomes, guiding prognostic assessments.

Area of Science:

  • Cardiology
  • Internal Medicine
  • Clinical Research

Background:

  • Congestive heart failure (CHF) survival prediction is crucial for patient management.
  • Existing scoring systems often focus on specific populations (e.g., transplant recipients) or neglect treatment response.
  • Easily obtainable clinical parameters are needed for accessible prognostic models in CHF.

Purpose of the Study:

  • To identify simple clinical parameters predicting survival in patients with CHF and reduced ejection fraction.
  • To develop a prognostic model incorporating patient response to therapy.

Main Methods:

  • Analysis of 680 patients with ejection fraction <40%, followed for up to 5 years.
  • Utilized univariate and multivariate Cox regression models to identify survival predictors.
  • Constructed Kaplan-Meier survival functions and calculated 1- and 5-year mortality rates.

Main Results:

  • Ejection fraction improvement, age, diabetes mellitus, serum creatinine, and blood urea nitrogen (BUN) were univariate predictors.
  • Ejection fraction improvement, age, and BUN emerged as significant multivariate predictors.
  • A model demonstrated improved ejection fraction (>15 units) correlated with 2% 1-year and 11% 5-year mortality.

Conclusions:

  • Ejection fraction improvement is the strongest predictor of survival in systolic dysfunction.
  • Serial echocardiograms to monitor ejection fraction changes offer significant prognostic value.
  • In patients without ejection fraction improvement, age and renal function (BUN) are critical survival determinants.
Abstract

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