Literature DB >> 33731823

Conception and bicentric validation of the proSCANNED score, a simplified bedside prognostic score for Heart Failure patients.

Claire Duflos1,2, Kamila Solecki3, Michel Galinier4,5, Romain Itier4, Jerome Roncalli4, Anne-Laure Goger3, Bara Mandoraah3, Eran Kalmanovich3, Fabien Huet3, Audrey Agullo3, Delphine Delseny3, Jean-Christophe Macia3, Florence Leclercq3, Gregoire Mercier1,2, François Roubille6,7.   

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.

Entities:  

Year:  2021        PMID: 33731823      PMCID: PMC7969617          DOI: 10.1038/s41598-021-85767-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  24 in total

1.  2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation. Developed with the special contribution of the European Heart Rhythm Association.

Authors:  A John Camm; Gregory Y H Lip; Raffaele De Caterina; Irene Savelieva; Dan Atar; Stefan H Hohnloser; Gerhard Hindricks; Paulus Kirchhof
Journal:  Eur Heart J       Date:  2012-08-24       Impact factor: 29.983

Review 2.  Epidemiology of Heart Failure in Europe.

Authors:  Aldo Pietro Maggioni
Journal:  Heart Fail Clin       Date:  2015-08-08       Impact factor: 3.179

3.  Factors related to morbidity and mortality in patients with chronic heart failure with systolic dysfunction: the HF-ACTION predictive risk score model.

Authors:  Christopher M O'Connor; David J Whellan; Daniel Wojdyla; Eric Leifer; Robert M Clare; Stephen J Ellis; Lawrence J Fine; Jerome L Fleg; Faiez Zannad; Steven J Keteyian; Dalane W Kitzman; William E Kraus; David Rendall; Ileana L Piña; Lawton S Cooper; Mona Fiuzat; Kerry L Lee
Journal:  Circ Heart Fail       Date:  2011-11-23       Impact factor: 8.790

4.  Predictors of mortality and morbidity in patients with chronic heart failure.

Authors:  Stuart J Pocock; Duolao Wang; Marc A Pfeffer; Salim Yusuf; John J V McMurray; Karl B Swedberg; Jan Ostergren; Eric L Michelson; Karen S Pieper; Christopher B Granger
Journal:  Eur Heart J       Date:  2005-10-11       Impact factor: 29.983

5.  Heart failure prognostic models: why bother?

Authors:  Keith D Aaronson; Jennifer Cowger
Journal:  Circ Heart Fail       Date:  2012-01       Impact factor: 8.790

6.  Predicting survival in heart failure: validation of the MAGGIC heart failure risk score in 51,043 patients from the Swedish heart failure registry.

Authors:  Ulrik Sartipy; Ulf Dahlström; Magnus Edner; Lars H Lund
Journal:  Eur J Heart Fail       Date:  2013-12-14       Impact factor: 15.534

7.  Which heart failure patients profit from natriuretic peptide guided therapy? A meta-analysis from individual patient data of randomized trials.

Authors:  Hans-Peter Brunner-La Rocca; Luc Eurlings; A Mark Richards; James L Januzzi; Matthias E Pfisterer; Ulf Dahlström; Yigal M Pinto; Patric Karlström; Hans Erntell; Rudolf Berger; Hans Persson; Christopher M O'Connor; Deddo Moertl; Hanna K Gaggin; Christopher M Frampton; M Gary Nicholls; Richard W Troughton
Journal:  Eur J Heart Fail       Date:  2015-09-30       Impact factor: 15.534

8.  The MUSIC Risk score: a simple method for predicting mortality in ambulatory patients with chronic heart failure.

Authors:  Rafael Vazquez; Antoni Bayes-Genis; Iwona Cygankiewicz; Domingo Pascual-Figal; Lilian Grigorian-Shamagian; Ricardo Pavon; Jose R Gonzalez-Juanatey; José M Cubero; Luis Pastor; Jordi Ordonez-Llanos; Juan Cinca; Antoni Bayes de Luna
Journal:  Eur Heart J       Date:  2009-02-24       Impact factor: 29.983

9.  Predictors of fatal and non-fatal outcomes in the Controlled Rosuvastatin Multinational Trial in Heart Failure (CORONA): incremental value of apolipoprotein A-1, high-sensitivity C-reactive peptide and N-terminal pro B-type natriuretic peptide.

Authors:  Hans Wedel; John J V McMurray; Magnus Lindberg; John Wikstrand; John G F Cleland; Jan H Cornel; Peter Dunselman; Ake Hjalmarson; John Kjekshus; Michel Komajda; Timo Kuusi; Johan Vanhaecke; Finn Waagstein
Journal:  Eur J Heart Fail       Date:  2009-01-24       Impact factor: 15.534

Review 10.  Risk prediction in patients with heart failure: a systematic review and analysis.

Authors:  Kazem Rahimi; Derrick Bennett; Nathalie Conrad; Timothy M Williams; Joyee Basu; Jeremy Dwight; Mark Woodward; Anushka Patel; John McMurray; Stephen MacMahon
Journal:  JACC Heart Fail       Date:  2014-09-03       Impact factor: 12.035

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