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Sharifi H, Bertini CD, Alkhunaizi M, Hernandez M, Musa Z, Borges C, Turk I, Bashoura L, Dickey BF, Cheng GS, Yanik G, Galban CJ, Guo HH, Godoy MCB, Reinhardt JM, Hoffman EA, Castro M, Rondon G, Alousi AM, Champlin RE, Shpall EJ, Lu Y, Peterson S, Datta K, Nicolls MR, Hsu J, Sheshadri A. CT strain metrics allow for earlier diagnosis of bronchiolitis obliterans syndrome after hematopoietic cell transplant. Blood Adv 2024; 8:5156-5165. [PMID: 39163616 PMCID: PMC11470239 DOI: 10.1182/bloodadvances.2024013748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 07/29/2024] [Accepted: 07/29/2024] [Indexed: 08/22/2024] Open
Abstract
ABSTRACT Bronchiolitis obliterans syndrome (BOS) after hematopoietic cell transplantation (HCT) is associated with substantial morbidity and mortality. Quantitative computed tomography (qCT) can help diagnose advanced BOS meeting National Institutes of Health (NIH) criteria (NIH-BOS) but has not been used to diagnose early, often asymptomatic BOS (early BOS), limiting the potential for early intervention and improved outcomes. Using pulmonary function tests (PFTs) to define NIH-BOS, early BOS, and mixed BOS (NIH-BOS with restrictive lung disease) in patients from 2 large cancer centers, we applied qCT to identify early BOS and distinguish between types of BOS. Patients with transient impairment or healthy lungs were included for comparison. PFTs were done at month 0, 6, and 12. Analysis was performed with association statistics, principal component analysis, conditional inference trees (CITs), and machine learning (ML) classifier models. Our cohort included 84 allogeneic HCT recipients, 66 with BOS (NIH-defined, early, or mixed) and 18 without BOS. All qCT metrics had moderate correlation with forced expiratory volume in 1 second, and each qCT metric differentiated BOS from those without BOS (non-BOS; P < .0001). CITs distinguished 94% of participants with BOS vs non-BOS, 85% of early BOS vs non-BOS, 92% of early BOS vs NIH-BOS. ML models diagnosed BOS with area under the curve (AUC) of 0.84 (95% confidence interval [CI], 0.74-0.94) and early BOS with AUC of 0.84 (95% CI, 0.69-0.97). qCT metrics can identify individuals with early BOS, paving the way for closer monitoring and earlier treatment in this vulnerable population.
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Affiliation(s)
- Husham Sharifi
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Christopher D. Bertini
- Division of Pulmonary and Critical Care Medicine, University of Texas Health Science Center, Houston, TX
| | - Mansour Alkhunaizi
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Maria Hernandez
- Division of Hospital Medicine, Northwestern University, Chicago, IL
| | - Zayan Musa
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Carlos Borges
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Ihsan Turk
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Lara Bashoura
- Department of Pulmonary Medicine, MD Anderson Cancer Center, Houston, TX
| | - Burton F. Dickey
- Department of Pulmonary Medicine, MD Anderson Cancer Center, Houston, TX
| | - Guang-Shing Cheng
- Division of Pulmonary, Critical Care and Sleep Medicine, Fred Hutchinson Cancer Center, Seattle, WA
| | - Gregory Yanik
- Blood and Marrow Transplant Division, University of Michigan Health, Ann Arbor, MI
| | - Craig J. Galban
- Department of Radiology, Blood and Marrow Transplant Division, University of Michigan Health, Ann Arbor, MI
| | - Huawei Henry Guo
- Department of Radiology, Stanford University School of Medicine, Stanford, CA
| | - Myrna C. B. Godoy
- Department of Pulmonary Medicine, MD Anderson Cancer Center, Houston, TX
| | | | | | - Mario Castro
- Division of Pulmonary, Critical Care and Sleep Medicine, Kansas University Medical Center, Kansas City, KS
| | - Gabriela Rondon
- Department of Pulmonary Medicine, MD Anderson Cancer Center, Houston, TX
| | - Amin M. Alousi
- Department of Pulmonary Medicine, MD Anderson Cancer Center, Houston, TX
| | | | | | - Ying Lu
- Department of Biomedical Data Sciences, Stanford University, Stanford, CA
| | | | - Keshav Datta
- Department of Radiology, Stanford University School of Medicine, Stanford, CA
| | - Mark R. Nicolls
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Joe Hsu
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Ajay Sheshadri
- Division of Pulmonary and Critical Care Medicine, University of Texas Health Science Center, Houston, TX
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Alkhunaizi M, Patel B, Bueno L, Bhan N, Ahmed T, Arain MH, Saliba R, Rondon G, Dickey BF, Bashoura L, Ost DE, Li L, Wang S, Shpall E, Champlin RE, Mehta R, Popat UR, Hosing C, Alousi AM, Sheshadri A. Risk Factors for Bronchiolitis Obliterans Syndrome after Initial Detection of Pulmonary Impairment after Hematopoietic Cell Transplantation. Transplant Cell Ther 2023; 29:204.e1-204.e7. [PMID: 36503180 PMCID: PMC9992123 DOI: 10.1016/j.jtct.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022]
Abstract
Pulmonary chronic graft-versus-host-disease (cGVHD), or bronchiolitis obliterans syndrome (BOS), is a highly morbid complication of hematopoietic cell transplantation (HCT). The clinical significance of a single instance of pulmonary decline not meeting the criteria for BOS is unclear. We conducted a retrospective analysis in a cohort of patients who had an initial post-HCT decline in the absolute value of forced expiratory volume in 1 second (FEV1) of ≥10% or mid-expiratory flow rate of ≥25% but not meeting the criteria for BOS (pre-BOS). We examined the impact of clinical variables in patients with pre-BOS on the risk for subsequent BOS. Pre-BOS developed in 1325 of 3170 patients (42%), of whom 72 (5%) later developed BOS. Eighty-four patients developed BOS without detection of pre-BOS by routine screening. Among patients with pre-BOS, after adjusting for other significant variables, airflow obstruction (hazard ratio [HR], 2.0; 95% confidence interval [CI], 1.1 to 3.7; P = .02), percent-predicted FEV1 on decline (HR, .98; 95% CI, .97 to 1.0; P = .02), active cGVHD (HR, 7.7; 95% CI, 3.1 to 19.3; P < .001), peripheral blood stem cell source (HR, 3.8; 95% CI, 1.7 to 8.6; P = .001), and myeloablative conditioning (HR, 2.0; 95% CI, 1.1 to 3.5; P = .02) were associated with subsequent BOS. The absence of airflow obstruction and cGVHD had a negative predictive value of 100% at 6 months for subsequent BOS, but the positive predictive value of both factors was low (cGVHD, 3%; any obstruction, 4%; combined, 6%). Several clinical factors at the time of pre-BOS, particularly active cGVHD and airflow obstruction, increase the risk for subsequent BOS. These factors merit consideration to be included in screening practices to improve the detection of BOS, with the caveat that the predictive utility of these factors is limited by the overall low incidence of BOS among patients with pre-BOS.
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Affiliation(s)
| | - Badar Patel
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Luis Bueno
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico
| | - Neel Bhan
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Tahreem Ahmed
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Muhammad H Arain
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rima Saliba
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gabriela Rondon
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Burton F Dickey
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lara Bashoura
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David E Ost
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Shikun Wang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Elizabeth Shpall
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Richard E Champlin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rohtesh Mehta
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Uday R Popat
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chitra Hosing
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Amin M Alousi
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ajay Sheshadri
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Kishida Y, Shingai N, Hara K, Yomota M, Kato C, Sakai S, Kambara Y, Atsuta Y, Konuma R, Wada A, Murakami D, Nakashima S, Uchibori Y, Onai D, Hamamura A, Nishijima A, Toya T, Shimizu H, Najima Y, Kobayashi T, Sakamaki H, Ohashi K, Doki N. Impact of lung function impairment after allogeneic hematopoietic stem cell transplantation. Sci Rep 2022; 12:14155. [PMID: 35986078 PMCID: PMC9389505 DOI: 10.1038/s41598-022-18553-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/16/2022] [Indexed: 11/09/2022] Open
Abstract
Late-onset noninfectious pulmonary complications (LONIPC) are a major cause of morbidity and mortality after allogeneic hematopoietic stem cell transplantation (HSCT). However, the clinical impact of lung function deterioration itself in long-term adult survivors of HSCT remains to be fully investigated. This retrospective, longitudinal study aimed to investigate pulmonary function following HSCT in terms of its change and the clinical significance of its decline. We examined 167 patients who survived for at least 2 years without relapse. The median follow-up period was 10.3 years. A linear mixed-effects model showed that the slope of pulmonary function tests values, including percent vital capacity (%VC), percent forced expiratory volume in one second (%FEV1), and FEV1/forced VC ratio (FEV1%), decreased over time. The cumulative incidence of newly obstructive and restrictive lung function impairment (LFI) at 10 years was 15.7% and 19.5%, respectively. Restrictive LFI was a significant, independent risk factor for overall survival (hazard ratio 7.11, P = 0.007) and non-relapse mortality (hazard ratio 12.19, P = 0.003). Our data demonstrated that lung function declined over time after HSCT and that the decline itself had a significant impact on survival regardless of LONIPC.
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