Literature DB >> 16230258

Key issues in end point selection for heart failure trials: composite end points.

James D Neaton1, Gerry Gray, Bram D Zuckerman, Marvin A Konstam.   

Abstract

BACKGROUND: Composite outcomes are commonly used in heart failure trials. The aim of this article is to discuss the advantages and disadvantages of composite outcomes and recommend guidelines for reporting them. Examples are used to illustrate key points. METHODS AND
RESULTS: A workshop jointly planned by the Heart Failure Society of America and the US Food and Drug Administration was convened in April 2004. One of the panel discussions concerned the use of composite outcomes in heart failure trials. With use of composite outcomes, event rates are higher and if it is reasonable to assume that the treatment effect is similar for each component of the composite outcome, sample size will be smaller than using one of the components as the primary end point. Composites end points are difficult to interpret if effects are not similar for all components or if the effect of treatment is primarily on a more common, less serious component of the composite. Composite outcomes typically only focus on the first occurring event. This can lead to a substantial loss of information in some trials. When composite end points are used, data collection for all components should continue until the end of the trial so that each component can be separately evaluated.
CONCLUSION: Composite end points should be used with caution. Additional research is need on optimally weighting components of composite outcomes and to better using the entire event history of patients in heart failure trials. Further analyses of completed trials could be useful in this respect.

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Mesh:

Year:  2005        PMID: 16230258     DOI: 10.1016/j.cardfail.2005.08.350

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  35 in total

1.  Semiparametric regression for the weighted composite endpoint of recurrent and terminal events.

Authors:  Lu Mao; D Y Lin
Journal:  Biostatistics       Date:  2015-12-14       Impact factor: 5.899

2.  Large sample inference for a win ratio analysis of a composite outcome based on prioritized components.

Authors:  Ionut Bebu; John M Lachin
Journal:  Biostatistics       Date:  2015-09-08       Impact factor: 5.899

Review 3.  Drugs' development in acute heart failure: what went wrong?

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Review 4.  Problems with use of composite end points in cardiovascular trials: systematic review of randomised controlled trials.

Authors:  Ignacio Ferreira-González; Jason W Busse; Diane Heels-Ansdell; Victor M Montori; Elie A Akl; Dianne M Bryant; Pablo Alonso-Coello; Jordi Alonso; Andrew Worster; Suneel Upadhye; Roman Jaeschke; Holger J Schünemann; Gaietà Permanyer-Miralda; Valeria Pacheco-Huergo; Antònia Domingo-Salvany; Ping Wu; Edward J Mills; Gordon H Guyatt
Journal:  BMJ       Date:  2007-04-02

5.  Semiparametric temporal process regression of survival-out-of-hospital.

Authors:  Tianyu Zhan; Douglas E Schaubel
Journal:  Lifetime Data Anal       Date:  2018-05-23       Impact factor: 1.588

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Authors:  Paul S Myles
Journal:  J Extra Corpor Technol       Date:  2009-12

7.  Imaging of cardiac sympathetic activity in heart failure: Not out of the woods yet.

Authors:  Catherine Gebhard
Journal:  J Nucl Cardiol       Date:  2017-01-18       Impact factor: 5.952

8.  Automatic Methods to Extract New York Heart Association Classification from Clinical Notes.

Authors:  Rui Zhang; Sisi Ma; Liesa Shanahan; Jessica Munroe; Sarah Horn; Stuart Speedie
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2017-12-18

9.  Using Outcomes to Analyze Patients Rather than Patients to Analyze Outcomes: A Step toward Pragmatism in Benefit:risk Evaluation.

Authors:  Scott R Evans; Dean Follmann
Journal:  Stat Biopharm Res       Date:  2016-12-06       Impact factor: 1.452

10.  Testing for heterogeneity among the components of a binary composite outcome in a clinical trial.

Authors:  Janice Pogue; Lehana Thabane; P J Devereaux; Salim Yusuf
Journal:  BMC Med Res Methodol       Date:  2010-06-07       Impact factor: 4.615

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