Literature DB >> 32937078

Enrichment Benefits of Risk Algorithms for Pulmonary Arterial Hypertension Clinical Trials.

Jacqueline V Scott1,2, Christine E Garnett2, Manreet K Kanwar3, Norman L Stockbridge2, Raymond L Benza3.   

Abstract

Rationale: Event-driven primary endpoints are increasingly used in pulmonary arterial hypertension clinical trials, substantially increasing required sample sizes and trial lengths. The U.S. Food and Drug Administration advocates the use of prognostic enrichment of clinical trials by preselecting a patient population with increased likelihood of experiencing the trial's primary endpoint.
Objectives: This study compares validated clinical scales of risk (Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension, the French score, and Registry to Evaluate Early and Long-Term Pulmonary Arterial Hypertension Disease Management [REVEAL] 2.0) to identify patients who are likely to experience a clinical worsening event for trial enrichment.
Methods: Baseline data from three pulmonary arterial hypertension clinical trials (AMBITION [a Study of First-Line Ambrisentan and Tadalafil Combination Therapy in Subjects with Pulmonary Arterial Hypertension], SERAPHIN [Study of Macitentan on Morbidity and Mortality in Patients with Symptomatic Pulmonary Arterial Hypertension], and GRIPHON [Selexipag in Pulmonary Arterial Hypertension]) were pooled and standardized. Receiver operating curves were used to measure each algorithm's performance in predicting clinical worsening within the pooled placebo cohort. Power simulations were conducted to determine sample size and treatment time reductions for multiple enrichment strategies. A cost analysis was performed to illustrate potential financial savings by applying enrichment to GRIPHON.Measurements and Main
Results: All risk algorithms were compared using area under the receiver operating curve and substantially outperformed prediction per New York Heart Association Functional Class. The REVEAL 2.0's risk grouping provided the greatest time and sample size savings in AMBITION and GRIPHON for all enrichment strategies but lacked appropriate inputs (i.e., N-terminal-proB-type natriuretic peptide) to perform as well in SERAPHIN. Cost analysis applied to GRIPHON demonstrated the greatest financial benefit by enrolling patients with a REVEAL score ≥8.Conclusions: This preliminary study demonstrates the feasibility of risk algorithms for pulmonary arterial hypertension trial enrichment and a need for further investigation.

Entities:  

Keywords:  clinical trial enrichment; pulmonary arterial hypertension; risk score calculator

Mesh:

Substances:

Year:  2021        PMID: 32937078      PMCID: PMC7958501          DOI: 10.1164/rccm.202002-0357OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  19 in total

1.  Mortality in pulmonary arterial hypertension: prediction by the 2015 European pulmonary hypertension guidelines risk stratification model.

Authors:  Marius M Hoeper; Tilmann Kramer; Zixuan Pan; Christina A Eichstaedt; Jens Spiesshoefer; Nicola Benjamin; Karen M Olsson; Katrin Meyer; Carmine Dario Vizza; Anton Vonk-Noordegraaf; Oliver Distler; Christian Opitz; J Simon R Gibbs; Marion Delcroix; H Ardeschir Ghofrani; Doerte Huscher; David Pittrow; Stephan Rosenkranz; Ekkehard Grünig
Journal:  Eur Respir J       Date:  2017-08-03       Impact factor: 16.671

2.  Risk assessment, prognosis and guideline implementation in pulmonary arterial hypertension.

Authors:  Athénaïs Boucly; Jason Weatherald; Laurent Savale; Xavier Jaïs; Vincent Cottin; Grégoire Prevot; François Picard; Pascal de Groote; Mitja Jevnikar; Emmanuel Bergot; Ari Chaouat; Céline Chabanne; Arnaud Bourdin; Florence Parent; David Montani; Gérald Simonneau; Marc Humbert; Olivier Sitbon
Journal:  Eur Respir J       Date:  2017-08-03       Impact factor: 16.671

3.  Comparison of the Biomedica NT-proBNP enzyme immunoassay and the Roche NT-proBNP chemiluminescence immunoassay: implications for the prediction of symptomatic and asymptomatic structural heart disease.

Authors:  Thomas Mueller; Alfons Gegenhuber; Werner Poelz; Meinhard Haltmayer
Journal:  Clin Chem       Date:  2003-06       Impact factor: 8.327

4.  Adaptive enrichment designs for clinical trials.

Authors:  Noah Simon; Richard Simon
Journal:  Biostatistics       Date:  2013-03-21       Impact factor: 5.899

5.  Update in treatment options in pulmonary hypertension.

Authors:  Manreet K Kanwar; Thenappan Thenappan; Jean-Luc Vachiéry
Journal:  J Heart Lung Transplant       Date:  2016-01-15       Impact factor: 10.247

6.  Tables of the number of patients required in clinical trials using the logrank test.

Authors:  L S Freedman
Journal:  Stat Med       Date:  1982 Apr-Jun       Impact factor: 2.373

7.  Building the case for novel clinical trials in pulmonary arterial hypertension.

Authors:  John J Ryan; Jonathan D Rich; Bradley A Maron
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-01

8.  Initial Use of Ambrisentan plus Tadalafil in Pulmonary Arterial Hypertension.

Authors:  Nazzareno Galiè; Joan A Barberà; Adaani E Frost; Hossein-Ardeschir Ghofrani; Marius M Hoeper; Vallerie V McLaughlin; Andrew J Peacock; Gérald Simonneau; Jean-Luc Vachiery; Ekkehard Grünig; Ronald J Oudiz; Anton Vonk-Noordegraaf; R James White; Christiana Blair; Hunter Gillies; Karen L Miller; Julia H N Harris; Jonathan Langley; Lewis J Rubin
Journal:  N Engl J Med       Date:  2015-08-27       Impact factor: 91.245

9.  Clinical trial design and new therapies for pulmonary arterial hypertension.

Authors:  Olivier Sitbon; Mardi Gomberg-Maitland; John Granton; Michael I Lewis; Stephen C Mathai; Maurizio Rainisio; Norman L Stockbridge; Martin R Wilkins; Roham T Zamanian; Lewis J Rubin
Journal:  Eur Respir J       Date:  2019-01-24       Impact factor: 16.671

Review 10.  Offshore Pharmaceutical Trials: Evidence, Economics, and Ethics.

Authors:  Y Tony Yang; Brian Chen; Charles L Bennett
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2018-06-05
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  3 in total

1.  Improving clinical trial efficiency using a machine learning-based risk score to enrich study populations.

Authors:  Karola S Jering; Claudio Campagnari; Brian Claggett; Eric Adler; Liviu Klein; Faraz S Ahmad; Adriaan A Voors; Scott Solomon; Avi Yagil; Barry Greenberg
Journal:  Eur J Heart Fail       Date:  2022-05-22       Impact factor: 17.349

2.  Novel composite clinical endpoints and risk scores used in clinical trials in pulmonary arterial hypertension.

Authors:  Olivier Sitbon; Sylvia Nikkho; Raymond Benza; Chunqin Cq Deng; Harrison W Farber; Mardi G Maitland; Paul Hassoun; Christian Meier; Joanna Pepke-Zaba; Krishna Prasad; Werner Seeger; Paul A Corris
Journal:  Pulm Circ       Date:  2020-11-18       Impact factor: 3.017

3.  Risk, Results, and Costs: Optimizing Clinical Trial Efficiency through Prognostic Enrichment.

Authors:  Kert Viele; Timothy D Girard
Journal:  Am J Respir Crit Care Med       Date:  2021-03-15       Impact factor: 21.405

  3 in total

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