Abstract

A simple and accurate prognostic tool for Heart Failure (HF) patients is critical to improve follow-up. Different risk scores are accurate but with limited clinical applicability. The current study aims to derive and validate a simple predictive tool for HF prognosis. French outpatients with stable HF of two university hospitals were included in the derivation (N = 134) or in the validation (N = 274) sample and followed up for a median of 23 months. Potential predictors were variables with known association with mortality and easily available. The proSCANNED risk score was derived using a parametric survival model on complete case data; it includes 8 binary variables and its values are 0–8. In the validation sample, the ability of the score to discriminate the 1-year vital status was moderate (AUC = 0.71, IC95% = [0.64–0.71]). However, the stratification of the score in three groups showed a good calibration for patients in the low- and medium-risk risk group. The proSCANNED score is an easy-to-use tool in clinical practice with a good discrimination, stability, and calibration sufficient to improve the medical care of patients. Other follow up studies are necessary to assess score applicability in larger populations, and its impact.

Highlights

  • A simple and accurate prognostic tool for Heart Failure (HF) patients is critical to improve follow-up

  • Most of the models are based on single cohorts of patients and some are restricted to patients with reduced left ventricular ejection ­fraction[4,5,6] while other models are more complex, which limits their applicabillity to daily practice

  • Most of the patients (79, 46%) presented with dyspnea graded as New York Heart association (NYHA) class III

Read more

Summary

Introduction

A simple and accurate prognostic tool for Heart Failure (HF) patients is critical to improve follow-up. The increasing HF incidence in the population explains the growing need for new tools to enable accurate prognostic assessment This will allow for propper treatment and monitoring, thereby improving patients’ quality of life and reducing the cost burden on the health system. The Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC)[7] was based on the largest available database of HF patients- 39,372 patients from 30 studies, with a median follow-up of 2.5 years and aimed to provide a user-friendly score to quantify patient mortality risk. This score was built from 13 routinely available patient characteristics and can be calculated using an online calculator. Our aim was to define and validate a user-friendly, calculated score without using any device or website, based on the methodology and the characteristics defined by the MAGGIC score

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call