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Samant M, Krings JG, Lew D, Goss CW, Koch T, McGregor MC, Boomer J, Hall CS, Schechtman KB, Sheshadri A, Peterson S, Erzurum S, DePew Z, Morrow LE, Hogarth DK, Tejedor R, Trevor J, Wechsler ME, Sam A, Shi X, Choi J, Castro M. Use of Quantitative CT Imaging to Identify Bronchial Thermoplasty Responders. Chest 2024; 165:775-784. [PMID: 38123124 PMCID: PMC11026166 DOI: 10.1016/j.chest.2023.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 11/12/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Bronchial thermoplasty (BT) is a treatment for patients with poorly controlled, severe asthma. However, predictors of treatment response to BT are defined poorly. RESEARCH QUESTION Do baseline radiographic and clinical characteristics exist that predict response to BT? STUDY DESIGN AND METHODS We conducted a longitudinal prospective cohort study of participants with severe asthma receiving BT across eight academic medical centers. Participants received three separate BT treatments and were monitored at 3-month intervals for 1 year after BT. Similar to prior studies, a positive response to BT was defined as either improvement in Asthma Control Test results of ≥ 3 or Asthma Quality of Life Questionnaire of ≥ 0.5. Regression analyses were used to evaluate the association between pretreatment clinical and quantitative CT scan measures with subsequent BT response. RESULTS From 2006 through 2017, 88 participants received BT, with 70 participants (79.5%) identified as responders by Asthma Control Test or Asthma Quality of Life Questionnaire criteria. Responders were less likely to undergo an asthma-related ICU admission in the prior year (3% vs 25%; P = .01). On baseline quantitative CT imaging, BT responders showed less air trapping percentage (OR, 0.90; 95% CI, 0.82-0.99; P = .03), a greater Jacobian determinant (OR, 1.49; 95% CI, 1.05-2.11), greater SD of the Jacobian determinant (OR, 1.84; 95% CI, 1.04-3.26), and greater anisotropic deformation index (OR, 3.06; 95% CI, 1.06-8.86). INTERPRETATION To our knowledge, this is the largest study to evaluate baseline quantitative CT imaging and clinical characteristics associated with BT response. Our results show that preservation of normal lung expansion, indicated by less air trapping, a greater magnitude of isotropic expansion, and greater within-lung spatial variation on quantitative CT imaging, were predictors of future BT response. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT01185275; URL: www. CLINICALTRIALS gov.
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Affiliation(s)
- Maanasi Samant
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in Saint Louis School of Medicine, Saint Louis, MO
| | - James G Krings
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in Saint Louis School of Medicine, Saint Louis, MO
| | - Daphne Lew
- Division of Biostatistics, Washington University in Saint Louis School of Medicine, Saint Louis, MO
| | - Charles W Goss
- Division of Biostatistics, Washington University in Saint Louis School of Medicine, Saint Louis, MO
| | - Tammy Koch
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in Saint Louis School of Medicine, Saint Louis, MO
| | - Mary Clare McGregor
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in Saint Louis School of Medicine, Saint Louis, MO
| | - Jonathan Boomer
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, KS
| | - Chase S Hall
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, KS
| | - Ken B Schechtman
- Division of Biostatistics, Washington University in Saint Louis School of Medicine, Saint Louis, MO
| | - Ajay Sheshadri
- Division of Pulmonary Critical Care Medicine, Department of Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Serpil Erzurum
- Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, OH
| | - Zachary DePew
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Creighton University Medical Center, Omaha, NE
| | - Lee E Morrow
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Creighton University Medical Center, Omaha, NE
| | - D Kyle Hogarth
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Chicago, Chicago, IL
| | - Richard Tejedor
- Division of Pulmonary and Critical Care, Department of Medicine, LSU Health Sciences Center, New Orleans, LA
| | - Jennifer Trevor
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | | | - Afshin Sam
- Division of Pulmonary and Critical Care, Department of Medicine, University of Arizona, Tuscon, AZ
| | - Xiaosong Shi
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, KS
| | - Jiwoong Choi
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, KS
| | - Mario Castro
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, KS.
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Trivedi AP, Hall C, Goss CW, Lew D, Krings JG, McGregor MC, Samant M, Sieren JP, Li H, Schechtman KB, Schirm J, McEleney S, Peterson S, Moore WC, Bleecker ER, Meyers DA, Israel E, Washko GR, Levy BD, Leader JK, Wenzel SE, Fahy JV, Schiebler ML, Fain SB, Jarjour NN, Mauger DT, Reinhardt JM, Newell JD, Hoffman EA, Castro M, Sheshadri A, Levy B, Cernadas M, Washko GR, Haley K, Cardet JC, Duvall M, Forth V, Le M, Fandozzi E, O'Neill A, Gentile K, Cinelli M, Tulchinsky A, Lawrance G, Czajkowski R, Lemole P, Antunes W, McGinnis A, Klokeid K, Phipatanakul W, Sheehan W, Bartnikas L, Baxi S, Crestani E, Etsy B, Gaffin J, Hauptman M, Kantor D, Lai P, Louisias M, Nelson K, Permaul P, Schneider L, Wright L, Minnicozzi S, Maciag M, Haktanir-Abul M, Gunnlaugsson S, Burke-Roberts E, Cunningham A, Ansel-Kelly E, Waskosky S, Ramsey A, Feloney L, Wenzel S, Fajt M, Celedon J, Larkin A, Di P, Chu HW, Gauthier M, Wu W, Jain S, Camiolo M, Rauscher C, Luyster F, Rebovich P, Demas J, Wunderley R, Vitari C, Ilnicki M, Srollo D, Takosky C, Lanzo R, Leader J, Lapic DM, Etling E, Rhodes D, Burger J, Glover E, Peters A, Smith C, Bonfiglio N, Trudeau J, Bang SJ, Lin Q, Liu CH, Kupul S, Jarjour N, Denlinger L, Lemanske R, Fain S, Viswanathan R, Moss M, Jackson D, Sorkness R, Ramratnam S, Tattersall M, Crisafi G, Klaus D, Wollet L, Bach J, Johansson M, Schiebler M, Esnault S, Mathur S, Yakey J, Floerke H, Guadarrama A, Maddox A, Peters B, Beaman K, Sumino K, Castro M, Bacharier L, Gierada D, Woods J, Schechtman K, Patterson B, Sheshadri A, Coverstone A, Shifren A, Quirk J, Byers D, Krings J, McGregor MC, Samant M, Tarsi J, Koch T, Curtis V, Yin-Declue H, Boomer J, Saylor M, Frei S, Rowe L, Sajol G, Kozlowski J, Hoffman E, Allard E, Atha J, Ching-Long L, Fahy J, Woodruff P, Ly N, Bhakta N, Peters M, Moreno C, Baum A, Liu D, Kalra A, Orain X, Charbit A, Njoku N, Dunican E, Teague WG, Greenwald R, DeBoer M, Wavell K, deRonde K, Erzurum S, Carl J, Khatri S, Dweik R, Comhair S, Sharp J, Lempel J, Farha S, Taliercio R, Aronica M, Zein J, Koo M, Painter TA, Hopkins K, Lawrence J, Abi-Saleh S, Labadia M, Qirjaz E, Wehrmann R, Arbruster D, Markle T, Matuska B, Baicker-McKee S, Wyszynski P, Fitzgerald K, Ross K, Gaston B, Myers R, Craven D, Roesch E, Thomas R, Logan L, Veri L, Gluvna A, Wallace J, Pryor M, Smith S, Allerton P, Emrich T, Hilliard J, Krenicky J, Smith L, Ferrebee M, Moore W, Bleecker E, Meyers D, Peters S, Li X, Hastie A, Ortega V, Hawkins G, Krings J, Ampleford E, Pippins A, Field P, Rector B, Sprissler R, Fransway B, Fitzpatrick A, Stephenson S, Mauger DT, Phillips B. Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts. Radiology 2022; 304:450-459. [PMID: 35471111 PMCID: PMC9340243 DOI: 10.1148/radiol.210363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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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Krings JG, Goss CW, Lew D, Samant M, McGregor MC, Boomer J, Bacharier LB, Sheshadri A, Hall C, Brownell J, Schechtman KB, Peterson S, McEleney S, Mauger DT, Fahy JV, Fain SB, Denlinger LC, Israel E, Washko G, Hoffman E, Wenzel SE, Castro M. Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3. J Allergy Clin Immunol 2021; 148:752-762. [PMID: 33577895 PMCID: PMC8349941 DOI: 10.1016/j.jaci.2021.01.029] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 12/02/2020] [Accepted: 01/08/2021] [Indexed: 01/07/2023]
Abstract
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.
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Affiliation(s)
- James G Krings
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, St Louis, Mo
| | - Charles W Goss
- Division of Biostatistics, Washington University in St Louis School of Medicine, St Louis, Mo
| | - Daphne Lew
- Division of Biostatistics, Washington University in St Louis School of Medicine, St Louis, Mo
| | - Maanasi Samant
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, St Louis, Mo
| | - Mary Clare McGregor
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, St Louis, Mo
| | - Jonathan Boomer
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, Kan
| | - Leonard B Bacharier
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tenn
| | - Ajay Sheshadri
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, Tex
| | - Chase Hall
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, Kan
| | - Joshua Brownell
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, University of Wisconsin, Madison, Wis
| | - Ken B Schechtman
- Division of Biostatistics, Washington University in St Louis School of Medicine, St Louis, Mo
| | | | | | - David T Mauger
- Division of Statistics and Bioinformatics, Department of Public Health Sciences, Pennsylvania State University, Hershey, Pa
| | - John V Fahy
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, the University of California San Francisco, San Francisco, Calif
| | - Sean B Fain
- Department of Radiology and Biomedical Engineering, University of Wisconsin, Madison, Wis
| | - Loren C Denlinger
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, University of Wisconsin, Madison, Wis
| | - Elliot Israel
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass
| | - George Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass
| | - Eric Hoffman
- Department of Radiology, Biomedical Engineering, and Medicine, University of Iowa, Iowa City, IA
| | - Sally E Wenzel
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, the University of Pittsburgh, Pittsburgh, Pa
| | - Mario Castro
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Kansas School of Medicine, Kansas City, Kan.
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Abstract
Patients with severe uncontrolled asthma have disproportionally high morbidity and healthcare utilization as compared with their peers with well-controlled disease. Although treatment options for these patients were previously limited, with unacceptable side effects, the emergence of biologic therapies for the treatment of asthma has provided promising targeted therapy for these patients. Biologic therapies target specific inflammatory pathways involved in the pathogenesis of asthma, particularly in patients with an endotype driven by type 2 (T2) inflammation. In addition to anti-IgE therapy that has improved outcomes in allergic asthma for more than a decade, three anti-IL-5 biologics and one anti-IL-4R biologic have recently emerged as promising treatments for T2 asthma. These targeted therapies have been shown to reduce asthma exacerbations, improve lung function, reduce oral corticosteroid use, and improve quality of life in appropriately selected patients. In addition to the currently approved biologic agents, several biologics targeting upstream inflammatory mediators are in clinical trials, with possible approval on the horizon. This article reviews the mechanism of action, indications, expected benefits, and side effects of each of the currently approved biologics for severe uncontrolled asthma and discusses promising therapeutic targets for the future.
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Affiliation(s)
- Mary Clare McGregor
- 1 Division of Pulmonary and Critical Care, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri; and
| | - James G Krings
- 1 Division of Pulmonary and Critical Care, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri; and
| | - Parameswaran Nair
- 2 Division of Respirology, Department of Medicine, St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada
| | - Mario Castro
- 1 Division of Pulmonary and Critical Care, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri; and
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