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Eur J Heart Fail. 2012 Jun;14(6):605-12. doi: 10.1093/eurjhf/hfs029. Epub 2012 Apr 25.

The PROTECT in-hospital risk model: 7-day outcome in patients hospitalized with acute heart failure and renal dysfunction.

Author information

  • 1Duke Clinical Research Institute, Duke University Medical Center, Durham, NC 27710, USA. christophe.oconnor@dm.duke.edu

Abstract

AIMS:

In patients with acute heart failure (AHF), early worsening heart failure (WHF) predicts a significant proportion of post-discharge readmissions and mortality. We aimed to identify the predictors of 7-day heart failure events or death in patients hospitalized with AHF.

METHODS AND RESULTS:

A predictive model and risk score for the short-term primary composite endpoint of 7-day death, HF rehospitalization, or WHF was created using variables collected within 24 h of admission from patients with complete data (n = 2015) enrolled in the PROTECT trial of AHF patients. The 7-day composite was experienced by 294 patients (14.6%), with a mortality rate of 1.8% (n = 37), HF rehospitalization rate of 0.5% (n = 9), and WHF rate of 13.1% (n = 264). In multivariable analyses, the strongest predictor of short-term morbidity and mortality was higher blood urea nitrogen (BUN) concentration. Additional independent predictors of a worse outcome were lower serum albumin, cholesterol, and systolic blood pressure, as well as higher heart rate and respiratory rate. Model coefficients were converted to an additive risk score for predicting the 7-day composite endpoint with a total point range of 0-100. The risk score allowed discrimination of a wide spectrum of risk (4.8% risk with score ≤35, to 28.7% risk with score >55).

CONCLUSIONS:

Using the PROTECT 7-day risk model and score, the main determinants of an adverse outcome for AHF patients included impaired metabolic status, neurohormonal activation, and reduced cardiac performance, gauged by BUN, serum albumin and cholesterol levels, systolic blood pressure, heart rate, and respiratory rate.

PMID:
22535795
[PubMed - indexed for MEDLINE]
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