Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3.


Journal

The Journal of allergy and clinical immunology
ISSN: 1097-6825
Titre abrégé: J Allergy Clin Immunol
Pays: United States
ID NLM: 1275002

Informations de publication

Date de publication:
09 2021
Historique:
received: 07 08 2020
revised: 02 12 2020
accepted: 08 01 2021
pubmed: 13 2 2021
medline: 11 11 2021
entrez: 12 2 2021
Statut: ppublish

Résumé

Currently, there is limited knowledge regarding which imaging assessments of asthma are associated with accelerated longitudinal decline in lung function. We aimed to assess whether quantitative computed tomography (qCT) metrics are associated with longitudinal decline in lung function and morbidity in asthma. We analyzed 205 qCT scans of adult patients with asthma and calculated baseline markers of airway remodeling, lung density, and pointwise regional change in lung volume (Jacobian measures) for each participant. Using multivariable regression models, we then assessed the association of qCT measurements with the outcomes of future change in lung function, future exacerbation rate, and changes in validated measurements of morbidity. Greater baseline wall area percent (β = -0.15 [95% CI = -0.26 to -0.05]; P < .01), hyperinflation percent (β = -0.25 [95% CI = -0.41 to -0.09]; P < .01), and Jacobian gradient measurements (cranial-caudal β = 10.64 [95% CI = 3.79-17.49]; P < .01; posterior-anterior β = -9.14, [95% CI = -15.49 to -2.78]; P < .01) were associated with more severe future lung function decline. Additionally, greater wall area percent (rate ratio = 1.06 [95% CI = 1.01-1.10]; P = .02) and air trapping percent (rate ratio =1.01 [95% CI = 1.00-1.02]; P = .03), as well as lower decline in the Jacobian determinant mean (rate ratio = 0.58 [95% CI = 0.41-0.82]; P < .01) and Jacobian determinant standard deviation (rate ratio = 0.52 [95% CI = 0.32-0.85]; P = .01), were associated with a greater rate of future exacerbations. However, imaging metrics were not associated with clinically meaningful changes in scores on validated asthma morbidity questionnaires. Baseline qCT measures of more severe airway remodeling, more small airway disease and hyperinflation, and less pointwise regional change in lung volumes were associated with future lung function decline and asthma exacerbations.

Sections du résumé

BACKGROUND
Currently, there is limited knowledge regarding which imaging assessments of asthma are associated with accelerated longitudinal decline in lung function.
OBJECTIVES
We aimed to assess whether quantitative computed tomography (qCT) metrics are associated with longitudinal decline in lung function and morbidity in asthma.
METHODS
We analyzed 205 qCT scans of adult patients with asthma and calculated baseline markers of airway remodeling, lung density, and pointwise regional change in lung volume (Jacobian measures) for each participant. Using multivariable regression models, we then assessed the association of qCT measurements with the outcomes of future change in lung function, future exacerbation rate, and changes in validated measurements of morbidity.
RESULTS
Greater baseline wall area percent (β = -0.15 [95% CI = -0.26 to -0.05]; P < .01), hyperinflation percent (β = -0.25 [95% CI = -0.41 to -0.09]; P < .01), and Jacobian gradient measurements (cranial-caudal β = 10.64 [95% CI = 3.79-17.49]; P < .01; posterior-anterior β = -9.14, [95% CI = -15.49 to -2.78]; P < .01) were associated with more severe future lung function decline. Additionally, greater wall area percent (rate ratio = 1.06 [95% CI = 1.01-1.10]; P = .02) and air trapping percent (rate ratio =1.01 [95% CI = 1.00-1.02]; P = .03), as well as lower decline in the Jacobian determinant mean (rate ratio = 0.58 [95% CI = 0.41-0.82]; P < .01) and Jacobian determinant standard deviation (rate ratio = 0.52 [95% CI = 0.32-0.85]; P = .01), were associated with a greater rate of future exacerbations. However, imaging metrics were not associated with clinically meaningful changes in scores on validated asthma morbidity questionnaires.
CONCLUSIONS
Baseline qCT measures of more severe airway remodeling, more small airway disease and hyperinflation, and less pointwise regional change in lung volumes were associated with future lung function decline and asthma exacerbations.

Identifiants

pubmed: 33577895
pii: S0091-6749(21)00176-7
doi: 10.1016/j.jaci.2021.01.029
pmc: PMC8349941
mid: NIHMS1671959
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

752-762

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR000427
Pays : United States
Organisme : NHLBI NIH HHS
ID : U10 HL109172
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL091762
Pays : United States
Organisme : NHLBI NIH HHS
ID : U10 HL109257
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL146002
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL069149
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007317
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002373
Pays : United States
Organisme : NHLBI NIH HHS
ID : U10 HL109086
Pays : United States
Organisme : NIH HHS
ID : S10 OD025214
Pays : United States
Organisme : NHLBI NIH HHS
ID : U10 HL109168
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001102
Pays : United States
Organisme : NHLBI NIH HHS
ID : U10 HL109152
Pays : United States
Organisme : NHLBI NIH HHS
ID : U10 HL109146
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002366
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002345
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

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Auteurs

James G Krings (JG)

Division of Pulmonary and Critical Care Medicine, Department of Medicine, St Louis, Mo.

Charles W Goss (CW)

Division of Biostatistics, Washington University in St Louis School of Medicine, St Louis, Mo.

Daphne Lew (D)

Division of Biostatistics, Washington University in St Louis School of Medicine, St Louis, Mo.

Maanasi Samant (M)

Division of Pulmonary and Critical Care Medicine, Department of Medicine, St Louis, Mo.

Mary Clare McGregor (MC)

Division of Pulmonary and Critical Care Medicine, Department of Medicine, St Louis, Mo.

Jonathan Boomer (J)

Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, Kan.

Leonard B Bacharier (LB)

Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tenn.

Ajay Sheshadri (A)

Division of Pulmonary and Critical Care Medicine, Department of Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, Tex.

Chase Hall (C)

Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, Kan.

Joshua Brownell (J)

Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, University of Wisconsin, Madison, Wis.

Ken B Schechtman (KB)

Division of Biostatistics, Washington University in St Louis School of Medicine, St Louis, Mo.

Samuel Peterson (S)

VIDA Diagnostics, Coralville, Iowa.

Stephen McEleney (S)

VIDA Diagnostics, Coralville, Iowa.

David T Mauger (DT)

Division of Statistics and Bioinformatics, Department of Public Health Sciences, Pennsylvania State University, Hershey, Pa.

John V Fahy (JV)

Division of Pulmonary and Critical Care Medicine, Department of Medicine, the University of California San Francisco, San Francisco, Calif.

Sean B Fain (SB)

Department of Radiology and Biomedical Engineering, University of Wisconsin, Madison, Wis.

Loren C Denlinger (LC)

Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, University of Wisconsin, Madison, Wis.

Elliot Israel (E)

Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass.

George Washko (G)

Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass.

Eric Hoffman (E)

Department of Radiology, Biomedical Engineering, and Medicine, University of Iowa, Iowa City, IA.

Sally E Wenzel (SE)

Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, the University of Pittsburgh, Pittsburgh, Pa.

Mario Castro (M)

Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, Kan. Electronic address: mcastro2@kumc.edu.

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Classifications MeSH