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Evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension

Selection of endpoints for clinical trials in pulmonary arterial hypertension (PAH) is challenging because of the small numbers of patients and the changing expectations of patients, clinicians, and regulators in this evolving therapy area. The most commonly used primary endpoint in PAH trials has b...

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Autores principales: Caccamo, Marco, Harrell, Frank E., Hemnes, Anna R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405062/
https://www.ncbi.nlm.nih.gov/pubmed/37554146
http://dx.doi.org/10.1002/pul2.12271
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author Caccamo, Marco
Harrell, Frank E.
Hemnes, Anna R.
author_facet Caccamo, Marco
Harrell, Frank E.
Hemnes, Anna R.
author_sort Caccamo, Marco
collection PubMed
description Selection of endpoints for clinical trials in pulmonary arterial hypertension (PAH) is challenging because of the small numbers of patients and the changing expectations of patients, clinicians, and regulators in this evolving therapy area. The most commonly used primary endpoint in PAH trials has been 6‐min walk distance (6MWD), leading to the approval of several targeted therapies. However, single surrogate endpoints such as 6MWD or hemodynamic parameters may not correlate with clinical outcomes. Composite endpoints of clinical worsening have been developed to reflect patients' overall condition more accurately, although there is no standard definition of worsening. Recently there has been a shift to composite endpoints assessing clinical improvement, and risk scores developed from registry data are increasingly being used. Biomarkers are another area of interest, although brain natriuretic peptide and its N‐terminal prohormone are the only markers used for risk assessment or as endpoints in PAH. A range of other genetic, metabolic, and immunologic markers is currently under investigation, along with conventional and novel imaging modalities. Patient‐reported outcomes are an increasingly important part of evaluating new therapies, and several PAH‐specific tools are now available. In the future, alternative statistical techniques and trial designs, such as patient enrichment strategies, will play a role in evaluating PAH‐targeted therapies. In addition, modern sequencing techniques, imaging analyses, and high‐dimensional statistical modeling/machine learning may reveal novel markers that can play a role in the diagnosis and monitoring of PAH.
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spelling pubmed-104050622023-08-08 Evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension Caccamo, Marco Harrell, Frank E. Hemnes, Anna R. Pulm Circ Review Articles Selection of endpoints for clinical trials in pulmonary arterial hypertension (PAH) is challenging because of the small numbers of patients and the changing expectations of patients, clinicians, and regulators in this evolving therapy area. The most commonly used primary endpoint in PAH trials has been 6‐min walk distance (6MWD), leading to the approval of several targeted therapies. However, single surrogate endpoints such as 6MWD or hemodynamic parameters may not correlate with clinical outcomes. Composite endpoints of clinical worsening have been developed to reflect patients' overall condition more accurately, although there is no standard definition of worsening. Recently there has been a shift to composite endpoints assessing clinical improvement, and risk scores developed from registry data are increasingly being used. Biomarkers are another area of interest, although brain natriuretic peptide and its N‐terminal prohormone are the only markers used for risk assessment or as endpoints in PAH. A range of other genetic, metabolic, and immunologic markers is currently under investigation, along with conventional and novel imaging modalities. Patient‐reported outcomes are an increasingly important part of evaluating new therapies, and several PAH‐specific tools are now available. In the future, alternative statistical techniques and trial designs, such as patient enrichment strategies, will play a role in evaluating PAH‐targeted therapies. In addition, modern sequencing techniques, imaging analyses, and high‐dimensional statistical modeling/machine learning may reveal novel markers that can play a role in the diagnosis and monitoring of PAH. John Wiley and Sons Inc. 2023-08-07 /pmc/articles/PMC10405062/ /pubmed/37554146 http://dx.doi.org/10.1002/pul2.12271 Text en © 2023 The Authors. Pulmonary Circulation published by John Wiley & Sons Ltd on behalf of Pulmonary Vascular Research Institute. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Review Articles
Caccamo, Marco
Harrell, Frank E.
Hemnes, Anna R.
Evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension
title Evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension
title_full Evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension
title_fullStr Evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension
title_full_unstemmed Evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension
title_short Evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension
title_sort evolution and optimization of clinical trial endpoints and design in pulmonary arterial hypertension
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405062/
https://www.ncbi.nlm.nih.gov/pubmed/37554146
http://dx.doi.org/10.1002/pul2.12271
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