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Disease Progression Modeling in Chronic Obstructive Pulmonary Disease

Authors :
Barry J. Make
Venkata Bandi
Douglas Stinson
Ella A. Kazerooni
Harry B. Rossiter
Farnoush Banaei-Kashani
Xavier Soler
Arun C. Nachiappan
Paul J. Friedman
Karen M. Horton
Terri H. Beaty
Christine H. Wendt
Andrew Yen
Philip F. Judy
Ferdouse Begum
Jeffrey L. Curtis
Lystra P. Hayden
Joe W. Ramsdell
Peter J. Castaldi
Alejandro P. Comellas
Emily S. Wan
Susan Murray
Aladin M. Boriek
David Pace
Jessica Bon
Nadia N. Hansel
Chandra Dass
Marilyn G. Foreman
Neil R. MacIntyre
Kartik Shenoy
David A. Lynch
Brian D. Hobbs
Raúl San José Estépar
John D. Newell
Philip Alapat
Karin F. Hoth
Stephen M. Humphries
Robert M. Steiner
Alessandra Adami
R.P. Bowler
Parag Desai
Mustafa Al Qaisi
Anna Rozenshtein
Joel L. Weissfeld
Robert A. Wise
Nan M. Laird
Margaret M. Parker
Felix J. S. Bragman
Camille M. Moore
Abbie Begnaud
Allison A. Lambert
Elizabeth Guy
Michael R. Jacobs
Mario E. Ruiz
Dawn L. DeMeo
Sungho Won
Alex Kluiber
Amit D. Parulekar
John H. M. Austin
Nathaniel Marchetti
Dandi Qiao
Douglas Everett
Joseph H. Tashjian
Juerg Tschirren
Kendra A. Young
Adel Boueiz
James D. Crapo
Gregory L. Kinney
Richard Casaburi
Russell P. Bowler
Daniel C. Alexander
Francis Cordova
Craig P. Hersh
George R. Washko
H. Page McAdams
Amir Sharafkhaneh
A. James Mamary
J. Michael Wells
Lacey Washington
MeiLan K. Han
Mark T. Dransfield
Nirupama Putcha
Craig J. Galbán
Dmitry Prokopenko
Eric A. Hoffman
Gloria Westney
Katerina Kechris
Bojidar Rangelov
Carla Wilson
Charlene McEvoy
Divay Chandra
Edwin J R van Beek
Carlos H. Martinez
Kalpatha Guntupalli
Gregory D.N. Pearson
Diego Maselli-Caceres
James C. Ross
Katherine A. Pratte
Christoph Lange
David Ciccolella
Charlie Lan
R. Graham Barr
Phuwanat Sakornsakolpat
Aditi Satti
Irene Swift
Robert H. Brown
Hans Fischer
Victor Kim
Maria Elena Vega-Sanchez
Sandra G. Adams
Belinda D’Souza
Perry G. Pernicano
Bram van Ginneken
Hrudaya Nath
Byron Thomashow
Jim Crooks
Joanne Billings
Jered Sieren
Eitan Halper-Stromberg
Matthew J. Budoff
William C. Bailey
Eva M. van Rikxoort
Merry-Lynn McDonald
Francine L. Jacobson
Edwin K. Silverman
John E. Hokanson
Robert L. Jensen
John Hughes
Michael H. Cho
Alexandra L. Young
Steven G. Kelsen
Janos Porszasz
Jacqueline B. Hetmanski
Alex Swift
John R. Hurst
Elizabeth A. Regan
Anand S Iyer
Frank C. Sciurba
Mustafa A. Atik
Gerard J. Criner
Antonio Anzueto
Sharon M. Lutz
David J. Hawkes
Carl R. Fuhrman
William W. Stringer
Harvey O. Coxson
Berend C. Stoel
Eugene Berkowitz
Joyce D. Schroeder
Tadashi Allen
Surya P. Bhatt
Matthew Strand
Brad H. Thompson
Nicola A. Hanania
Brian Bell
Teresa Gray
Gilbert E. D'Alonzo
Richard Rosiello
Source :
American Journal of Respiratory and Critical Care Medicine, 201, 3, pp. 294-302, Am J Respir Crit Care Med, American Journal of Respiratory and Critical Care Medicine, American Journal of Respiratory and Critical Care Medicine, 201, 294-302
Publication Year :
2020

Abstract

Contains fulltext : 220761.pdf (Publisher’s version ) (Open Access) Rationale: The decades-long progression of chronic obstructive pulmonary disease (COPD) renders identifying different trajectories of disease progression challenging.Objectives: To identify subtypes of patients with COPD with distinct longitudinal progression patterns using a novel machine-learning tool called "Subtype and Stage Inference" (SuStaIn) and to evaluate the utility of SuStaIn for patient stratification in COPD.Methods: We applied SuStaIn to cross-sectional computed tomography imaging markers in 3,698 Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1-4 patients and 3,479 controls from the COPDGene (COPD Genetic Epidemiology) study to identify subtypes of patients with COPD. We confirmed the identified subtypes and progression patterns using ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints) data. We assessed the utility of SuStaIn for patient stratification by comparing SuStaIn subtypes and stages at baseline with longitudinal follow-up data.Measurements and Main Results: We identified two trajectories of disease progression in COPD: a "Tissue-->Airway" subtype (n = 2,354, 70.4%), in which small airway dysfunction and emphysema precede large airway wall abnormalities, and an "Airway-->Tissue" subtype (n = 988, 29.6%), in which large airway wall abnormalities precede emphysema and small airway dysfunction. Subtypes were reproducible in ECLIPSE. Baseline stage in both subtypes correlated with future FEV1/FVC decline (r = -0.16 [P < 0.001] in the Tissue-->Airway group; r = -0.14 [P = 0.011] in the Airway-->Tissue group). SuStaIn placed 30% of smokers with normal lung function at elevated stages, suggesting imaging changes consistent with early COPD. Individuals with early changes were 2.5 times more likely to meet COPD diagnostic criteria at follow-up.Conclusions: We demonstrate two distinct patterns of disease progression in COPD using SuStaIn, likely representing different endotypes. One third of healthy smokers have detectable imaging changes, suggesting a new biomarker of "early COPD."

Details

ISSN :
1073449X
Database :
OpenAIRE
Journal :
American Journal of Respiratory and Critical Care Medicine, 201, 3, pp. 294-302, Am J Respir Crit Care Med, American Journal of Respiratory and Critical Care Medicine, American Journal of Respiratory and Critical Care Medicine, 201, 294-302
Accession number :
edsair.doi.dedup.....a01d5a541d61561fcfd03951635c6234