Literature DB >> 18779197

The many "small COPDs": COPD should be an orphan disease.

Stephen I Rennard1, Jørgen Vestbo2.   

Abstract

COPD is one of the most common causes of morbidity and mortality. Perhaps paradoxically, COPD also should be an orphan disease. Importantly, this could advance the development of treatments for COPD. There are two criteria for orphan status in the United States. Most widely known is the criterion of < 200,000 affected individuals; however, secondarily, is the impossibility for development costs to be recovered during the patent life of a product. COPD should qualify for the first criterion if the various conditions that comprise COPD are regarded separately. The subphenotyping of COPD into separate groups based on mechanism sets the stage for the rational development of therapeutics. In addition, many candidate treatments may alter the natural history of COPD. Testing them, however, will require large studies for a duration that will compromise the commercial life of any resulting product. Orphan status, therefore, could facilitate the development of treatments for both phenotypic subsets of COPD patients as well as aid the development of agents to alter the natural history of the disease. Post-drug approval regulations could require that agents approved under the orphan provisions are prospectively monitored, assuring that rigorous longitudinal data are generated. This approach could encourage the pharmaceutical industry to stratify studies based on a more detailed characterization of study subjects at baseline, thus approaching "many small COPDs" instead of a single large and heterogeneous COPD. This strategy may help to address the increasing burden that COPD presents and for which no novel clinical class of treatment has been introduced for 30 years.

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Year:  2008        PMID: 18779197     DOI: 10.1378/chest.07-3059

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  28 in total

1.  Do COPD subtypes really exist? COPD heterogeneity and clustering in 10 independent cohorts.

Authors:  Peter J Castaldi; Marta Benet; Hans Petersen; Nicholas Rafaels; James Finigan; Matteo Paoletti; H Marike Boezen; Judith M Vonk; Russell Bowler; Massimo Pistolesi; Milo A Puhan; Josep Anto; Els Wauters; Diether Lambrechts; Wim Janssens; Francesca Bigazzi; Gianna Camiciottoli; Michael H Cho; Craig P Hersh; Kathleen Barnes; Stephen Rennard; Meher Preethi Boorgula; Jennifer Dy; Nadia N Hansel; James D Crapo; Yohannes Tesfaigzi; Alvar Agusti; Edwin K Silverman; Judith Garcia-Aymerich
Journal:  Thorax       Date:  2017-06-21       Impact factor: 9.139

2.  Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema.

Authors:  Peter J Castaldi; Jennifer Dy; James Ross; Yale Chang; George R Washko; Douglas Curran-Everett; Andre Williams; David A Lynch; Barry J Make; James D Crapo; Russ P Bowler; Elizabeth A Regan; John E Hokanson; Greg L Kinney; Meilan K Han; Xavier Soler; Joseph W Ramsdell; R Graham Barr; Marilyn Foreman; Edwin van Beek; Richard Casaburi; Gerald J Criner; Sharon M Lutz; Steven I Rennard; Stephanie Santorico; Frank C Sciurba; Dawn L DeMeo; Craig P Hersh; Edwin K Silverman; Michael H Cho
Journal:  Thorax       Date:  2014-02-21       Impact factor: 9.139

Review 3.  Biomarkers of therapeutic response in patients with chronic obstructive pulmonary disease: a critical review of the literature.

Authors:  Ho Il Yoon; Don D Sin
Journal:  Drugs       Date:  2011-10-01       Impact factor: 9.546

4.  Serum eosinophils as a COPD biomarker: ready for prime time?

Authors:  Anand S Iyer; Mark T Dransfield
Journal:  Lancet Respir Med       Date:  2016-04-07       Impact factor: 30.700

5.  Recognizing the Many Faces of Chronic Obstructive Pulmonary Disease.

Authors:  Peter J Castaldi; Anil Vachani
Journal:  Am J Respir Crit Care Med       Date:  2016-06-01       Impact factor: 21.405

Review 6.  Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study.

Authors:  Peter J Castaldi; Adel Boueiz; Jeong Yun; Raul San Jose Estepar; James C Ross; George Washko; Michael H Cho; Craig P Hersh; Gregory L Kinney; Kendra A Young; Elizabeth A Regan; David A Lynch; Gerald J Criner; Jennifer G Dy; Stephen I Rennard; Richard Casaburi; Barry J Make; James Crapo; Edwin K Silverman; John E Hokanson
Journal:  Chest       Date:  2019-12-28       Impact factor: 9.410

Review 7.  Early chronic obstructive pulmonary disease: definition, assessment, and prevention.

Authors:  Stephen I Rennard; M Bradley Drummond
Journal:  Lancet       Date:  2015-05-02       Impact factor: 79.321

8.  Acquired cystic fibrosis transmembrane conductance regulator dysfunction in the lower airways in COPD.

Authors:  Mark T Dransfield; Andrew M Wilhelm; Brian Flanagan; Clifford Courville; Sherry L Tidwell; S Vamsee Raju; Amit Gaggar; Chad Steele; Li Ping Tang; Bo Liu; Steven M Rowe
Journal:  Chest       Date:  2013-08       Impact factor: 9.410

9.  Cluster analysis in severe emphysema subjects using phenotype and genotype data: an exploratory investigation.

Authors:  Michael H Cho; George R Washko; Thomas J Hoffmann; Gerard J Criner; Eric A Hoffman; Fernando J Martinez; Nan Laird; John J Reilly; Edwin K Silverman
Journal:  Respir Res       Date:  2010-03-16

10.  Exome Array Analysis Identifies a Common Variant in IL27 Associated with Chronic Obstructive Pulmonary Disease.

Authors:  Brian D Hobbs; Margaret M Parker; Han Chen; Taotao Lao; Megan Hardin; Dandi Qiao; Iwona Hawrylkiewicz; Pawel Sliwinski; Jae-Joon Yim; Woo Jin Kim; Deog Kyeom Kim; Peter J Castaldi; Craig P Hersh; Jarrett Morrow; Bartolome R Celli; Victor M Pinto-Plata; Gerald J Criner; Nathaniel Marchetti; Raphael Bueno; Alvar Agustí; Barry J Make; James D Crapo; Peter M Calverley; Claudio F Donner; David A Lomas; Emiel F M Wouters; Jorgen Vestbo; Peter D Paré; Robert D Levy; Stephen I Rennard; Xiaobo Zhou; Nan M Laird; Xihong Lin; Terri H Beaty; Edwin K Silverman; Michael H Cho
Journal:  Am J Respir Crit Care Med       Date:  2016-07-01       Impact factor: 21.405

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