Literature DB >> 35471111

Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts.

Abhaya P Trivedi1, Chase Hall1, Charles W Goss1, Daphne Lew1, James G Krings1, Mary Clare McGregor1, Maanasi Samant1, Jered P Sieren1, Huashi Li1, Ken B Schechtman1, Joshua Schirm1, Stephen McEleney1, Sam Peterson1, Wendy C Moore1, Eugene R Bleecker1, Deborah A Meyers1, Elliot Israel1, George R Washko1, Bruce D Levy1, Joseph K Leader1, Sally E Wenzel1, John V Fahy1, Mark L Schiebler1, Sean B Fain1, Nizar N Jarjour1, David T Mauger1, Joseph M Reinhardt1, John D Newell1, Eric A Hoffman1, Mario Castro1, Ajay Sheshadri1.   

Abstract

Background Clustering key clinical characteristics of participants in the Severe Asthma Research Program (SARP), a large, multicenter prospective observational study of patients with asthma and healthy controls, has led to the identification of novel asthma phenotypes. Purpose To determine whether quantitative CT (qCT) could help distinguish between clinical asthma phenotypes. Materials and Methods A retrospective cross-sectional analysis was conducted with the use of qCT images (maximal bronchodilation at total lung capacity [TLC], or inspiration, and functional residual capacity [FRC], or expiration) from the cluster phenotypes of SARP participants (cluster 1: minimal disease; cluster 2: mild, reversible; cluster 3: obese asthma; cluster 4: severe, reversible; cluster 5: severe, irreversible) enrolled between September 2001 and December 2015. Airway morphometry was performed along standard paths (RB1, RB4, RB10, LB1, and LB10). Corresponding voxels from TLC and FRC images were mapped with use of deformable image registration to characterize disease probability maps (DPMs) of functional small airway disease (fSAD), voxel-level volume changes (Jacobian), and isotropy (anisotropic deformation index [ADI]). The association between cluster assignment and qCT measures was evaluated using linear mixed models. Results A total of 455 participants were evaluated with cluster assignments and CT (mean age ± SD, 42.1 years ± 14.7; 270 women). Airway morphometry had limited ability to help discern between clusters. DPM fSAD was highest in cluster 5 (cluster 1 in SARP III: 19.0% ± 20.6; cluster 2: 18.9% ± 13.3; cluster 3: 24.9% ± 13.1; cluster 4: 24.1% ± 8.4; cluster 5: 38.8% ± 14.4; P < .001). Lower whole-lung Jacobian and ADI values were associated with greater cluster severity. Compared to cluster 1, cluster 5 lung expansion was 31% smaller (Jacobian in SARP III cohort: 2.31 ± 0.6 vs 1.61 ± 0.3, respectively, P < .001) and 34% more isotropic (ADI in SARP III cohort: 0.40 ± 0.1 vs 0.61 ± 0.2, P < .001). Within-lung Jacobian and ADI SDs decreased as severity worsened (Jacobian SD in SARP III cohort: 0.90 ± 0.4 for cluster 1; 0.79 ± 0.3 for cluster 2; 0.62 ± 0.2 for cluster 3; 0.63 ± 0.2 for cluster 4; and 0.41 ± 0.2 for cluster 5; P < .001). Conclusion Quantitative CT assessments of the degree and intraindividual regional variability of lung expansion distinguished between well-established clinical phenotypes among participants with asthma from the Severe Asthma Research Program study. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Verschakelen in this issue.

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Year:  2022        PMID: 35471111      PMCID: PMC9340243          DOI: 10.1148/radiol.210363

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   29.146


  31 in total

1.  Characterization of the severe asthma phenotype by the National Heart, Lung, and Blood Institute's Severe Asthma Research Program.

Authors:  Wendy C Moore; Eugene R Bleecker; Douglas Curran-Everett; Serpil C Erzurum; Bill T Ameredes; Leonard Bacharier; William J Calhoun; Mario Castro; Kian Fan Chung; Melissa P Clark; Raed A Dweik; Anne M Fitzpatrick; Benjamin Gaston; Mark Hew; Iftikhar Hussain; Nizar N Jarjour; Elliot Israel; Bruce D Levy; James R Murphy; Stephen P Peters; W Gerald Teague; Deborah A Meyers; William W Busse; Sally E Wenzel
Journal:  J Allergy Clin Immunol       Date:  2007-02       Impact factor: 10.793

2.  Registration-based assessment of regional lung function via volumetric CT images of normal subjects vs. severe asthmatics.

Authors:  Sanghun Choi; Eric A Hoffman; Sally E Wenzel; Merryn H Tawhai; Youbing Yin; Mario Castro; Ching-Long Lin
Journal:  J Appl Physiol (1985)       Date:  2013-06-06

Review 3.  Using imaging as a biomarker for asthma.

Authors:  Abhaya Trivedi; Chase Hall; Eric A Hoffman; Jason C Woods; David S Gierada; Mario Castro
Journal:  J Allergy Clin Immunol       Date:  2017-01       Impact factor: 10.793

4.  SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs.

Authors:  Jered P Sieren; John D Newell; R Graham Barr; Eugene R Bleecker; Nathan Burnette; Elizabeth E Carretta; David Couper; Jonathan Goldin; Junfeng Guo; MeiLan K Han; Nadia N Hansel; Richard E Kanner; Ella A Kazerooni; Fernando J Martinez; Stephen Rennard; Prescott G Woodruff; Eric A Hoffman
Journal:  Am J Respir Crit Care Med       Date:  2016-10-01       Impact factor: 21.405

5.  Sputum neutrophil counts are associated with more severe asthma phenotypes using cluster analysis.

Authors:  Wendy C Moore; Annette T Hastie; Xingnan Li; Huashi Li; William W Busse; Nizar N Jarjour; Sally E Wenzel; Stephen P Peters; Deborah A Meyers; Eugene R Bleecker
Journal:  J Allergy Clin Immunol       Date:  2013-12-09       Impact factor: 10.793

6.  Three-dimensional characterization of regional lung deformation.

Authors:  Ryan Amelon; Kunlin Cao; Kai Ding; Gary E Christensen; Joseph M Reinhardt; Madhavan L Raghavan
Journal:  J Biomech       Date:  2011-07-28       Impact factor: 2.712

Review 7.  Role of Biologics in Asthma.

Authors:  Mary Clare McGregor; James G Krings; Parameswaran Nair; Mario Castro
Journal:  Am J Respir Crit Care Med       Date:  2019-02-15       Impact factor: 21.405

8.  Effect of asthma exacerbations on health care costs among asthmatic patients with moderate and severe persistent asthma.

Authors:  Jasmina I Ivanova; Rachel Bergman; Howard G Birnbaum; Gene L Colice; Robert A Silverman; Kimmie McLaurin
Journal:  J Allergy Clin Immunol       Date:  2012-02-11       Impact factor: 10.793

9.  Baseline Features of the Severe Asthma Research Program (SARP III) Cohort: Differences with Age.

Authors:  W Gerald Teague; Brenda R Phillips; John V Fahy; Sally E Wenzel; Anne M Fitzpatrick; Wendy C Moore; Annette T Hastie; Eugene R Bleecker; Deborah A Meyers; Stephen P Peters; Mario Castro; Andrea M Coverstone; Leonard B Bacharier; Ngoc P Ly; Michael C Peters; Loren C Denlinger; Sima Ramratnam; Ronald L Sorkness; Benjamin M Gaston; Serpil C Erzurum; Suzy A A Comhair; Ross E Myers; Joe Zein; Mark D DeBoer; Anne-Marie Irani; Elliot Israel; Bruce Levy; Juan Carlos Cardet; Wanda Phipatanakul; Jonathan M Gaffin; Fernando Holguin; Merritt L Fajt; Shean J Aujla; David T Mauger; Nizar N Jarjour
Journal:  J Allergy Clin Immunol Pract       Date:  2017-08-31

10.  Cluster analysis and clinical asthma phenotypes.

Authors:  Pranab Haldar; Ian D Pavord; Ruth H Green; Dominic E Shaw; Michael A Berry; Michael Thomas; Christopher E Brightling; Andrew J Wardlaw
Journal:  Am J Respir Crit Care Med       Date:  2008-05-14       Impact factor: 21.405

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