Literature DB >> 19765836

Derivation and validation of a simple clinical risk-model in heart failure based on 6 minute walk test performance and NT-proBNP status--do we need specificity for sex and beta-blockers?

L Frankenstein1, K Goode, L Ingle, A Remppis, D Schellberg, M Nelles, H A Katus, A L Clark, J G F Cleland, C Zugck.   

Abstract

BACKGROUND: It is unclear whether risk prediction strategies in chronic heart failure (CHF) need to be specific for sex or beta-blockers. We examined this problem and developed and validated the consequent risk models based on 6-minute-walk-test and NT-proBNP.
METHODS: The derivation cohort comprised 636 German patients with systolic dysfunction. They were validated against 676 British patients with similar aetiology. ROC-curves for 1-year mortality identified cut-off values separately for specificity (none, sex, beta-blocker, both). Patients were grouped according to number of cut-offs met (group I/II/III - 0/1/2 cut-offs).
RESULTS: Widest separation between groups was achieved with sex- and beta-blocker-specific cut offs. In the derivation population, 1-year mortality was 0%, 8%, 31% for group I, II and III, respectively. In the validation population, 1-year rates in the three risk groups were 2%, 7%, 14%, respectively, after application of the same cut-offs.
CONCLUSION: Risk stratification for CHF should perhaps take sex and beta-blocker usage into account. We derived and independently validated relevant risk models based on 6-minute-walk-tests and NT-proBNP. Specifying sex and use of beta-blockers identified three distinct sub-groups with widely differing prognosis. In clinical practice, it may be appropriate to tailor the intensity of follow-up and/or the treatment strategy according to the risk-group.
Copyright © 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19765836     DOI: 10.1016/j.ijcard.2009.08.005

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  4 in total

1.  An Appraisal of Biomarker-Based Risk-Scoring Models in Chronic Heart Failure: Which One Is Best?

Authors:  Barbara S Doumouras; Douglas S Lee; Wayne C Levy; Ana C Alba
Journal:  Curr Heart Fail Rep       Date:  2018-02

Review 2.  BNP and NT-proBNP as prognostic markers in persons with chronic stable heart failure.

Authors:  Mark Oremus; Andrew Don-Wauchope; Robert McKelvie; Pasqualina L Santaguida; Stephen Hill; Cynthia Balion; Ronald Booth; Judy A Brown; Usman Ali; Amy Bustamam; Nazmul Sohel; Parminder Raina
Journal:  Heart Fail Rev       Date:  2014-08       Impact factor: 4.214

3.  Multistate Model to Predict Heart Failure Hospitalizations and All-Cause Mortality in Outpatients With Heart Failure With Reduced Ejection Fraction: Model Derivation and External Validation.

Authors:  Jenica N Upshaw; Marvin A Konstam; David van Klaveren; Farzad Noubary; Gordon S Huggins; David M Kent
Journal:  Circ Heart Fail       Date:  2016-08       Impact factor: 8.790

4.  Differences in severity at admission for heart failure between rural and urban patients: the value of adding laboratory results to administrative data.

Authors:  Mark W Smith; Pamela L Owens; Roxanne M Andrews; Claudia A Steiner; Rosanna M Coffey; Halcyon G Skinner; Jill Miyamura; Ioana Popescu
Journal:  BMC Health Serv Res       Date:  2016-04-18       Impact factor: 2.655

  4 in total

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