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Li Y, Xing Z, Zhang X, Hu Y, Guo Y. Development and evaluation of spirometry reference equations at high altitude. Pulmonology 2025; 31:2433862. [PMID: 39633269 DOI: 10.1080/25310429.2024.2433862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 10/13/2024] [Indexed: 12/07/2024] Open
Abstract
Approximately 400 million people live at high altitudes worldwide, yet reference equations for spirometry in these populations are inadequately documented. This study aims to develop reference equations for spirometry and assess their applicability to residents at altitudes ranging from 2,100 to 4,700 metres above sea level. This extensive cross-sectional study encompassed healthy non-smokers aged 15 years or older living at Xinjiang and Tibet autonomous region, which covered eight high-altitude areas by a multistage stratified sampling procedure. All individuals underwent pre- and post-bronchodilator measurement. We used the Lambda-Mu-Sigma (LMS) method to establish reference equations for various spirometry parameters. We assessed model fit using mean absolute error (MAE), mean absolute percentage error (MAPE), and residual values (standard deviation), relative to established benchmarks such as GLI, ECSC, and NHANES III, to evaluate the applicability of our equations to high-altitude residents. Between June 2015 and August 2016, 3174 healthy subjects were included. The reference equations utilise age and height as independent variables, with improved accuracy achieved through spline functions. Our spirometry reference equations demonstrate minimal MAE, MAPE, and residual values (standard deviation) for most of the analysed spirometry parameters, stratified by gender. Our spirometry reference equations are more applicable to residents of high-altitude regions.
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Affiliation(s)
- Yanyan Li
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Department of Respiratory and Critical Care Medicine, Peking University Fifth School of Clinical Medicine, Beijing, China
| | - Zhenzhen Xing
- Research Center of Occupational Medicine, Peking University Third Hospital, Beijing, China
| | - Xiangda Zhang
- School of Public Health, Monash University, Melbourne, Australia
| | - Yanlu Hu
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Yanfei Guo
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
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2
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Carvalho ARS, Guimarães A, Basilio R, Conrado da Silva MA, Colli S, Galhós de Aguiar C, Pereira RC, Lisboa LG, Hochhegger B, Rodrigues RS. Automatic Quantification of Abnormal Lung Parenchymal Attenuation on Chest Computed Tomography Images Using Densitometry and Texture-based Analysis. J Thorac Imaging 2025; 40:e0804. [PMID: 39257277 DOI: 10.1097/rti.0000000000000804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2024]
Abstract
PURPOSE To compare texture-based analysis using convolutional neural networks (CNNs) against lung densitometry in detecting chest computed tomography (CT) image abnormalities. MATERIAL AND METHODS A U-NET was used for lung segmentation, and an ensemble of 7 CNN architectures was trained for the classification of low-attenuation areas (LAAs; emphysema, cysts), normal-attenuation areas (NAAs; normal parenchyma), and high-attenuation areas (HAAs; ground-glass opacities, crazy paving/linear opacity, consolidation). Lung densitometry also computes (LAAs, ≤-950 HU), NAAs (-949 to -700 HU), and HAAs (-699 to -250 HU). CNN-based and densitometry-based severity indices (CNN and Dens, respectively) were calculated as (LAA+HAA)/(LAA+NAA+HAA) in 812 CT scans from 176 normal subjects, 343 patients with emphysema, and 293 patients with interstitial lung disease (ILD). The correlation between CNN-derived and densitometry-derived indices was analyzed, alongside a comparison of severity indices among patient subgroups with emphysema and ILD, using the Spearman correlation and ANOVA with Bonferroni correction. RESULTS CNN-derived and densitometry-derived severity indices (SIs) showed a strong correlation (ρ=0.90) and increased with disease severity. CNN-SIs differed from densitometry SIs, being lower for emphysema and higher for moderate to severe ILD cases. CNN estimations for normal attenuation areas were higher than those from densitometry across all groups, indicating a potential for more accurate characterization of lung abnormalities. CONCLUSIONS CNN outputs align closely with densitometry in assessing lung abnormalities on CT scans, offering improved estimates of normal areas and better distinguishing similar abnormalities. However, this requires higher computing power.
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Affiliation(s)
- Alysson R S Carvalho
- Department of Radiology and Imaging Diagnosis, Hospital Universitário Polydoro Ernani de São Thiago, Universidade Federal de Santa Catarina, Florianópolis
- D'Or Institute for Research and Education
- Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro
- Laboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro
| | - Alan Guimarães
- Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro
| | | | | | | | - Carolina Galhós de Aguiar
- Department of Radiology and Imaging Diagnosis, Hospital Universitário Polydoro Ernani de São Thiago, Universidade Federal de Santa Catarina, Florianópolis
- D'Or Institute for Research and Education
| | - Rafael C Pereira
- Department of Radiology and Imaging Diagnosis, Hospital Universitário Polydoro Ernani de São Thiago, Universidade Federal de Santa Catarina, Florianópolis
- D'Or Institute for Research and Education
| | - Liseane G Lisboa
- Department of Radiology and Imaging Diagnosis, Hospital Universitário Polydoro Ernani de São Thiago, Universidade Federal de Santa Catarina, Florianópolis
- D'Or Institute for Research and Education
| | - Bruno Hochhegger
- D'Or Institute for Research and Education
- Department of Radiology, University of Florida, Gainesville, FL
| | - Rosana S Rodrigues
- Department of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro
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Becker EA. The Challenge of Implementing Race-Neutral PFT Reference Equations. Respir Care 2024; 69:1480-1481. [PMID: 39455253 PMCID: PMC11549628 DOI: 10.4187/respcare.12404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2024]
Affiliation(s)
- Ellen A Becker
- Emerita ProfessorDepartment of Cardiopulmonary SciencesRush UniversityChicago, Illinois
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Banerjee D, Aijaz S, Nassikas NJ, Singh P, Lakshman S, Boyd C, Brown Q, Mathew A, Rosen RK, Lantini R, Andrea SB, Walsh SR, Gartman EJ, Levinson A, Carino G, Braun L. Perspectives on Using Race in Pulmonary Function Testing: A National Survey Fellows and Program Directors. Respir Care 2024; 69:1371-1379. [PMID: 38918025 PMCID: PMC11549632 DOI: 10.4187/respcare.11734] [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] [Indexed: 06/27/2024]
Abstract
BACKGROUND Pulmonary function tests (PFTs) have historically used race-specific prediction equations. The recent American Thoracic Society guidelines recommend the use of a race-neutral approach in prediction equations. There are limited studies centering the opinions of practicing pulmonologists on the use of race in spirometry. Provider opinion will impact adoption of the new guideline. The aim of this study was to ascertain the beliefs of academic pulmonary and critical care providers regarding the use of race as a variable in spirometry prediction equations. METHODS We report data from 151 open-ended responses from a voluntary, nationwide survey (distributed by the Association of Pulmonary Critical Care Medicine Program Directors) of academic pulmonary and critical care providers regarding the use of race in PFT prediction equations. Responses were coded using inductive and deductive methods, and a thematic content analysis was conducted. RESULTS There was a balanced distribution of opinions among respondents supporting, opposing, or being unsure about the incorporation of race in spirometry prediction equations. Responses demonstrated a wide array of understanding related to the concept and definition of race and its relationship to physiology. CONCLUSIONS There was no consensus among providers regarding the use of race in spirometry prediction equations. Concepts of race having biologic implications persist among pulmonary providers and will likely affect the uptake of the Global Lung Function Initiative per the American Thoracic Society guidelines.
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Affiliation(s)
- Debasree Banerjee
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island.
| | - Sara Aijaz
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island
| | - Nicholas J Nassikas
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Parvati Singh
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Sneha Lakshman
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island
| | - Chelsea Boyd
- Department of Medicine, Brown University, Providence, Rhode Island
| | - Quincy Brown
- Department of Medicine, Brown University, Providence, Rhode Island
| | - Amy Mathew
- Department of Medicine, Brown University, Providence, Rhode Island
| | - Rochelle K Rosen
- Center for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, Rhode Island
| | - Ryan Lantini
- Center for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, Rhode Island
| | - Sarah B Andrea
- OHSU-PSU School of Public Health, Portland State University, Portland, Oregon
| | - Stephen R Walsh
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island
| | - Eric J Gartman
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island
| | - Andrew Levinson
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island
| | - Gerardo Carino
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island
| | - Lundy Braun
- Pathology and Laboratory Medicine and Africana Studies, Brown University, Providence, Rhode Island
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5
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Wang JZ, Chow R, Shin S, Yang S, Ambade P, Jama S, Frances R, Pakhale S. Race-Based Pulmonary Function Testing Correction in COPD Inhaler Therapy Trials: A Systematic Review. Int J Chron Obstruct Pulmon Dis 2024; 19:2285-2297. [PMID: 39416876 PMCID: PMC11481996 DOI: 10.2147/copd.s475875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Accepted: 09/06/2024] [Indexed: 10/19/2024] Open
Abstract
Purpose Race-based correction is widely utilized in clinical practice, but may contribute to overestimation of lung function, underdiagnoses in minority groups, and exclusion of minority groups from research trials. The aim of this systematic review is to examine the usage of race-based correction in pulmonary function testing (PFT) within chronic obstructive lung disease (COPD) research and its impact on the exclusion of minority groups from research trials. Methods We systematically searched Medline from 2010 to 2022 to identify randomized controlled trials (RCTs) that examine inhaler therapy for COPD. Article screening, critical appraisal, and data extraction were completed in duplicate by independent reviewers. Data regarding study design, inclusion criteria, demographics, and race-based correction were extracted and synthesized narratively. Results Of the 774 screened articles, we included 21 RCTs in the review, which were multinational trials involving 70696 study participants. All studies had an inclusion criteria of an FEV1 cutoff of 50% to 80%. Racial minorities remained underrepresented in the trials, with the proportion of black participants ranging from <1% to 4.7%. Four studies directly mentioned race-based correction, while the remainder of the studies did not provide any explicit details. After obtaining additional information by contacting authors and reviewing the citations, 15 were estimated to utilize race-based correction. Conclusion Race-based correction may be frequently utilized in major COPD RCTs, but there remains inconsistent reporting regarding the usage of race-based correction. This may contribute to the exclusion of racialized populations from research trials as there remains significant underrepresentation of racialized populations from research.
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Affiliation(s)
- Jean Z Wang
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Ryan Chow
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Sheojung Shin
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Sarah Yang
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Preshit Ambade
- Department of Health Management, Economics and Policy, Augusta University, Augusta, Georgia, USA
| | - Sadia Jama
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Razan Frances
- Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Smita Pakhale
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
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Lovinsky-Desir S, Hirsch JA, Hoffman EA, Allen NB, Bertoni AG, Guo J, Jacobs DR, Laine AF, Malinsky D, Michos ED, Sack C, Shen W, Watson KE, Wysoczanski A, Barr RG, Smith BM. Indices of Childhood Socioeconomic Status and Dysanapsis among Older Adults: The Multi-Ethnic Study of Atherosclerosis Lung Study. Ann Am Thorac Soc 2024; 21:1338-1342. [PMID: 38747708 PMCID: PMC11376360 DOI: 10.1513/annalsats.202401-006rl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Wei Shen
- Columbia UniversityNew York, New York
| | | | | | | | - Benjamin M. Smith
- Columbia UniversityNew York, New York
- McGill UniversityMontreal, Quebec, Canada
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Muro S, Kawayama T, Sugiura H, Seki M, Duncan EA, Bowen K, Marshall J, Megally A, Patel M. Benefits of budesonide/glycopyrronium/formoterol fumarate dihydrate on lung function and exacerbations of COPD: a post-hoc analysis of the KRONOS study by blood eosinophil level and exacerbation history. Respir Res 2024; 25:297. [PMID: 39103901 PMCID: PMC11302094 DOI: 10.1186/s12931-024-02918-8] [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: 03/28/2024] [Accepted: 07/17/2024] [Indexed: 08/07/2024] Open
Abstract
BACKGROUND Japanese guidelines recommend triple inhaled corticosteroid (ICS)/long-acting muscarinic antagonist (LAMA)/long-acting β2-agonist (LABA) therapy in patients with chronic obstructive pulmonary disease (COPD) and no concurrent asthma diagnosis who experience frequent exacerbations and have blood eosinophil (EOS) count ≥ 300 cells/mm3, and in patients with COPD and asthma with continuing/worsening symptoms despite receiving dual ICS/LABA therapy. These post-hoc analyses of the KRONOS study in patients with COPD and without an asthma diagnosis, examine the effects of fixed-dose triple therapy with budesonide/glycopyrronium/formoterol fumarate dihydrate (BGF) versus dual therapies on lung function and exacerbations based on blood EOS count - focusing on blood EOS count 100 to < 300 cells/mm3 - as a function of exacerbation history and COPD severity. METHODS In KRONOS, patients were randomized to receive treatments that included BGF 320/14.4/10 µg, glycopyrronium/formoterol fumarate dihydrate (GFF) 14.4/10 µg, or budesonide/formoterol fumarate dihydrate (BFF) 320/10 µg via metered dose inhaler (two inhalations twice-daily for 24 weeks). These post-hoc analyses assessed changes from baseline in morning pre-dose trough forced expiratory volume in 1 s (FEV1) over 12-24 weeks and moderate or severe COPD exacerbations rates over 24 weeks. The KRONOS study was not prospectively powered for these subgroup analyses. RESULTS Among patients with blood EOS count 100 to < 300 cells/mm3, least squares mean treatment differences for lung function improvement favored BGF over BFF in patients without an exacerbation history in the past year and in patients with moderate and severe COPD, with observed differences ranging from 62 ml to 73 ml across populations. In this same blood EOS population, moderate or severe exacerbation rates were reduced for BGF relative to GFF by 56% in patients without an exacerbation history in the past year, by 47% in patients with moderate COPD, and by 50% in patients with severe COPD. CONCLUSIONS These post-hoc analyses of patients with moderate-to-very severe COPD from the KRONOS study seem to indicate clinicians may want to consider a step-up to triple therapy in patients with persistent/worsening symptoms with blood EOS count > 100 cells/mm3, even if disease severity is moderate and there is no recent history of exacerbations. TRIAL REGISTRATION ClinicalTrials.gov registry number NCT02497001 (registration date, 13 July 2015).
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Affiliation(s)
- Shigeo Muro
- Department of Respiratory Medicine, Nara Medical University, 840 Shijo-cho, Nara, 634-8522, Japan.
| | - Tomotaka Kawayama
- Division of Respirology, Neurology and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume, Japan
| | - Hisatoshi Sugiura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Munehiro Seki
- Respiratory Inhalation, Medical Department, AstraZeneca K.K. Kita-ku, Osaka, Japan
| | | | - Karin Bowen
- Late RIA Biometrics, AstraZeneca, Gaithersburg, MD, USA
| | | | - Ayman Megally
- Late RIA, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Mehul Patel
- Late RIA, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
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Xu X, Han Q, Lin X, Lin J, Wang S. Association between dietary niacin intake and lung function among American adults: A cross-sectional analysis from national health and nutrition examination survey, 2007-2012. Heliyon 2024; 10:e33482. [PMID: 39027602 PMCID: PMC11255858 DOI: 10.1016/j.heliyon.2024.e33482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 06/08/2024] [Accepted: 06/21/2024] [Indexed: 07/20/2024] Open
Abstract
Background The pathogenesis of pulmonary senescence involves immune system dysregulation, oxidative stress, and mitochondrial dysfunction. The effects on lung function of niacin, an essential coenzyme involved in mitochondrial energy metabolism with known antioxidant properties, are poorly understood. Methods This cross-sectional study used data from the 2007-2012 National Health and Nutrition Examination Survey, including spirometry data and niacin intake information of 9706 adults. This study investigated various spirometry measures, such as forced expiratory volume in 1 s, forced vital capacity, pulse expiratory flow, (forced expiratory volume in 1 s)/(forced vital capacity)ratio, and predicted forced expiratory volume in 1 s and forced vital capacity percentages. Additionally, a secondary analysis was conducted using Global Initiative for Chronic Obstructive Lung Disease and chronic obstructive pulmonary disease. Foundation Spirometry Grade criteria to assess the relationship between niacin intake, airflow limitation, and obstruction. Multivariate regression models were used to adjust for relevant covariates. Results The study included 9706 U S. adults (4788 men and 4918 women) with a median age of 46.2 years. After adjusting for relevant factors, a positive correlation was observed between niacin intake and lung function. Compared to the lowest quintile of niacin intake (Q1, ≤14.5 mg/day), individuals in the highest quintile (Q5, >34.5 mg/day) exhibited significant increases in lung function parameters, including forced expiratory volume in 1s (69.84 mL, p = 0.003), pulse expiratory flow (254.48 mL, p < 0.001), (forced expiratory volume in 1 s)/(forced vital capacity)(0.01, p = 0.041), percent predicted forced expiratory volume in 1 s(2.05, p = 0.002), and percent predicted forced vital capacity(1.29, p = 0.042).Subset analyses of individuals with spirometry-defined airflow obstruction showed associations of high niacin intake with significantly improved forced expiratory volume, pulse expiratory flow, and percent predicted pulse expiratory flow and an interaction among race, education, and smoking status with respect to the relationship between niacin intake and lung function parameters. Conclusions Higher niacin intake was associated with increased measures of lung function. A diet rich in niacin-containing foods may play a role in improving lung health.
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Affiliation(s)
- Xiaoli Xu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Rehabilitation Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- School of Health, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Qiong Han
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Rehabilitation Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
- School of Health, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Xiaoying Lin
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Rehabilitation Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jianping Lin
- School of Health, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Shizhong Wang
- School of Health, Fujian Medical University, Fuzhou, Fujian Province, China
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Diao JA, He Y, Khazanchi R, Nguemeni Tiako MJ, Witonsky JI, Pierson E, Rajpurkar P, Elhawary JR, Melas-Kyriazi L, Yen A, Martin AR, Levy S, Patel CJ, Farhat M, Borrell LN, Cho MH, Silverman EK, Burchard EG, Manrai AK. Implications of Race Adjustment in Lung-Function Equations. N Engl J Med 2024; 390:2083-2097. [PMID: 38767252 PMCID: PMC11305821 DOI: 10.1056/nejmsa2311809] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
BACKGROUND Adjustment for race is discouraged in lung-function testing, but the implications of adopting race-neutral equations have not been comprehensively quantified. METHODS We obtained longitudinal data from 369,077 participants in the National Health and Nutrition Examination Survey, U.K. Biobank, the Multi-Ethnic Study of Atherosclerosis, and the Organ Procurement and Transplantation Network. Using these data, we compared the race-based 2012 Global Lung Function Initiative (GLI-2012) equations with race-neutral equations introduced in 2022 (GLI-Global). Evaluated outcomes included national projections of clinical, occupational, and financial reclassifications; individual lung-allocation scores for transplantation priority; and concordance statistics (C statistics) for clinical prediction tasks. RESULTS Among the 249 million persons in the United States between 6 and 79 years of age who are able to produce high-quality spirometric results, the use of GLI-Global equations may reclassify ventilatory impairment for 12.5 million persons, medical impairment ratings for 8.16 million, occupational eligibility for 2.28 million, grading of chronic obstructive pulmonary disease for 2.05 million, and military disability compensation for 413,000. These potential changes differed according to race; for example, classifications of nonobstructive ventilatory impairment may change dramatically, increasing 141% (95% confidence interval [CI], 113 to 169) among Black persons and decreasing 69% (95% CI, 63 to 74) among White persons. Annual disability payments may increase by more than $1 billion among Black veterans and decrease by $0.5 billion among White veterans. GLI-2012 and GLI-Global equations had similar discriminative accuracy with regard to respiratory symptoms, health care utilization, new-onset disease, death from any cause, death related to respiratory disease, and death among persons on a transplant waiting list, with differences in C statistics ranging from -0.008 to 0.011. CONCLUSIONS The use of race-based and race-neutral equations generated similarly accurate predictions of respiratory outcomes but assigned different disease classifications, occupational eligibility, and disability compensation for millions of persons, with effects diverging according to race. (Funded by the National Heart Lung and Blood Institute and the National Institute of Environmental Health Sciences.).
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Affiliation(s)
- James A Diao
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Yixuan He
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Rohan Khazanchi
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Max Jordan Nguemeni Tiako
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Jonathan I Witonsky
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Emma Pierson
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Pranav Rajpurkar
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Jennifer R Elhawary
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Luke Melas-Kyriazi
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Albert Yen
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Alicia R Martin
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Sean Levy
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Chirag J Patel
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Maha Farhat
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Luisa N Borrell
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Michael H Cho
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Edwin K Silverman
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Esteban G Burchard
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
| | - Arjun K Manrai
- From the Department of Biomedical Informatics, Harvard Medical School (J.A.D., P.R., L.M.-K., C.J.P., M.F., A.K.M.), the Computational Health Informatics Program, Boston Children's Hospital (J.A.D., A.K.M.), the Analytic and Translational Genetics Unit (Y.H., A.R.M.) and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.F.), Massachusetts General Hospital, Harvard Internal Medicine-Pediatrics Combined Residency Program, Brigham and Women's Hospital, Boston Children's Hospital, and Boston Medical Center (R.K.), the François-Xavier Bagnoud Center for Health and Human Rights, Harvard University (R.K.), the Department of Medicine (M.J.N.T.) and the Channing Division of Network Medicine and the Division of Pulmonary and Critical Care Medicine, Department of Medicine (M.H.C., E.K.S.), Brigham and Women's Hospital, and the Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center (S.L.), Boston, and the Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge (Y.H., A.R.M.) - all in Massachusetts; the Departments of Pediatrics (J.I.W.), Medicine (J.R.E., E.G.B.), and Bioengineering and Therapeutic Sciences (J.R.E., E.G.B.), University of California, San Francisco, San Francisco; the Department of Computer Science, Cornell University, Ithaca (E.P.), and the Department of Population Health Sciences, Weill Cornell Medical College (E.P.), and the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (L.N.B.), New York - all in New York; the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (L.M.-K.); and the Medical Scientist Training Program, University of Illinois at Chicago, Chicago (A.Y.)
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10
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Jandali B, Lyons M, Charles J, Zhang M, Theodore S, Pedroza C, Mayes MD, Assassi S. A Prospective Observational Study of Disease Severity and Mortality in Hispanic American Patients With Systemic Sclerosis. Arthritis Care Res (Hoboken) 2024; 76:768-776. [PMID: 38221717 PMCID: PMC11132947 DOI: 10.1002/acr.25300] [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: 06/18/2023] [Revised: 12/10/2023] [Accepted: 01/10/2023] [Indexed: 01/16/2024]
Abstract
OBJECTIVE To characterize disease manifestations in Hispanic American patients with systemic sclerosis (SSc) in comparison with non-Hispanic White and Black patients. METHODS Longitudinal clinical characteristics were collected prospectively in the Genetics versus Environment in Scleroderma Outcome Study cohort. All patients fulfilled the classification criteria for SSc and had a disease duration less than five years at enrollment. RESULTS A cohort of 427 patients, consisting of 124 Hispanic, 220 non-Hispanic White, and 83 non-Hispanic Black participants were examined. At enrollment, Hispanic patients were significantly younger but had longer disease duration, higher frequency of U1-RNP positivity as well as concurrent systemic lupus erythematosus (SLE) diagnosis, and lower income and educational levels in comparison to non-Hispanic White patients. Compared with non-Hispanic Black patients, Hispanic patients had more frequently limited cutaneous involvement and anticentromere antibodies. In the longitudinal analysis, Hispanic patients had significantly lower forced vital capacity percents predicted (point estimate, -9.3%; P < 0.001) than non-Hispanic White but not Black patients. Hispanic patients had similar longitudinal modified Rodnan Skin Scores like non-Hispanic White patients but lower measurements than non-Hispanic Black patients (point estimate, -3.2; P = 0.029). Hispanic patients had significantly higher serially obtained perceived functional disability scores than White patients (point estimate, 0.29; P < 0.001). Hispanic patients also had higher mortality rates than White Americans even after adjustment for age, gender, and socioeconomic statuses. CONCLUSION Hispanic patients have higher likelihood of having U1-RNP positivity and SLE overlap, more severe restrictive lung disease, as well as higher rate of mortality than non-Hispanic White patients.
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Affiliation(s)
- Bochra Jandali
- McGovern Medical School at the University of Texas Health Science Center at Houston, TX, USA
| | - Marka Lyons
- McGovern Medical School at the University of Texas Health Science Center at Houston, TX, USA
| | - Julio Charles
- McGovern Medical School at the University of Texas Health Science Center at Houston, TX, USA
| | - Meng Zhang
- McGovern Medical School at the University of Texas Health Science Center at Houston, TX, USA
| | - Samuel Theodore
- McGovern Medical School at the University of Texas Health Science Center at Houston, TX, USA
| | - Claudia Pedroza
- McGovern Medical School at the University of Texas Health Science Center at Houston, TX, USA
| | - Maureen D. Mayes
- McGovern Medical School at the University of Texas Health Science Center at Houston, TX, USA
| | - Shervin Assassi
- McGovern Medical School at the University of Texas Health Science Center at Houston, TX, USA
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11
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Ibad HA, Hathaway QA, Bluemke DA, Kasaeian A, Klein JG, Budoff MJ, Barr RG, Allison M, Post WS, Lima JAC, Demehri S. CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis. Eur Radiol 2024; 34:4163-4175. [PMID: 37951855 DOI: 10.1007/s00330-023-10372-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/04/2023] [Accepted: 08/14/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Pneumonia-related hospitalization may be associated with advanced skeletal muscle loss due to aging (i.e., sarcopenia) or chronic illnesses (i.e., cachexia). Early detection of muscle loss may now be feasible using deep-learning algorithms applied on conventional chest CT. OBJECTIVES To implement a fully automated deep-learning algorithm for pectoralis muscle measures from conventional chest CT and investigate longitudinal associations between these measures and incident pneumonia hospitalization according to Chronic Obstructive Pulmonary Disease (COPD) status. MATERIALS AND METHODS This analysis from the Multi-Ethnic Study of Atherosclerosis included participants with available chest CT examinations between 2010 and 2012. We implemented pectoralis muscle composition measures from a fully automated deep-learning algorithm (Mask R-CNN, built on the Faster Region Proposal Network (R-) Convolutional Neural Network (CNN) with an extension for mask identification) for two-dimensional segmentation. Associations between CT-derived measures and incident pneumonia hospitalizations were evaluated using Cox proportional hazards models adjusted for multiple confounders which include but are not limited to age, sex, race, smoking, BMI, physical activity, and forced-expiratory-volume-at-1 s-to-functional-vital-capacity ratio. Stratification analyses were conducted based on baseline COPD status. RESULTS This study included 2595 participants (51% female; median age: 68 (IQR: 61, 76)) CT examinations for whom we implemented deep learning-derived measures for longitudinal analyses. Eighty-six incident pneumonia hospitalizations occurred during a median 6.67-year follow-up. Overall, pectoralis muscle composition measures did not predict incident pneumonia. However, in fully-adjusted models, only among participants with COPD (N = 507), CT measures like extramyocellular fat index (hazard ratio: 1.98, 95% CI: 1.22, 3.21, p value: 0.02), were independently associated with incident pneumonia. CONCLUSION Reliable deep learning-derived pectoralis muscle measures could predict incident pneumonia hospitalization only among participants with known COPD. CLINICAL RELEVANCE STATEMENT Pectoralis muscle measures obtainable at zero additional cost or radiation exposure from any chest CT may have independent predictive value for clinical outcomes in chronic obstructive pulmonary disease patients. KEY POINTS •Identification of independent and modifiable risk factors of pneumonia can have important clinical impact on patients with chronic obstructive pulmonary disease. •Opportunistic CT measures of adipose tissue within pectoralis muscles using deep-learning algorithms can be quickly obtainable at zero additional cost or radiation exposure. •Deep learning-derived pectoralis muscle measurements of intermuscular fat and its subcomponents are independently associated with subsequent incident pneumonia hospitalization.
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Affiliation(s)
- Hamza A Ibad
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Russell H. Morgan, Baltimore, MD, USA
| | - Quincy A Hathaway
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Russell H. Morgan, Baltimore, MD, USA
- West Virginia University School of Medicine, Heart and Vascular Institute, Morgantown, WV, USA
| | - David A Bluemke
- University of Wisconsin School of Medicine and Public Health, Department of Radiology, Madison, WI, USA
| | - Arta Kasaeian
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Russell H. Morgan, Baltimore, MD, USA
| | - Joshua G Klein
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Russell H. Morgan, Baltimore, MD, USA
| | - Matthew J Budoff
- Harbor-UCLA Medical Center, Division of Cardiology, Torrance, CA, USA
| | - R Graham Barr
- Columbia University, Division of General Medicine, New York, NY, USA
| | - Matthew Allison
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Wendy S Post
- Johns Hopkins University School of Medicine, Division of Cardiology, Baltimore, MD, USA
| | - João A C Lima
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Russell H. Morgan, Baltimore, MD, USA
- Johns Hopkins University School of Medicine, Division of Cardiology, Baltimore, MD, USA
| | - Shadpour Demehri
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Russell H. Morgan, Baltimore, MD, USA.
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12
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Singer D, Chastek B, Sargent A, Johnson JC, Shetty S, Conoscenti C, Bernstein EJ. Impact of chronic fibrosing interstitial lung disease on healthcare use: association between fvc decline and inpatient hospitalization. BMC Pulm Med 2023; 23:337. [PMID: 37689630 PMCID: PMC10492374 DOI: 10.1186/s12890-023-02637-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 09/06/2023] [Indexed: 09/11/2023] Open
Abstract
BACKGROUND Many types of interstitial lung diseases (ILDs) may transition to progressive chronic-fibrosing ILDs with rapid lung function decline and a negative survival prognosis. In real-world clinical settings, forced vital capacity (FVC) measures demonstrating progressive decline may be linked to negative outcomes, including increased risks of costly healthcare resource utilization (HRU). Thus, we assessed the relationship between rate of decline in lung function and an increase in HRU, specifically inpatient hospitalization, among patients with chronic fibrosing ILD. METHODS This study utilized electronic health records from 01-Oct-2015 to 31-Oct-2019. Eligible patients (≥ 18 years old) had ≥ 2 fibrosing ILD diagnosis codes, clinical activity for ≥ 15 months, and ≥ 2 FVC tests occurring 6 months apart. Patients with missing demographic data, IPF, or use of nintedanib or pirfenidone were excluded. Two groups were defined by relative change in percent of predicted FVC (FVC% pred) from baseline to 6 months: significant decline (≥ 10%) vs. marginal decline/stable FVC (decrease < 10% or increase). The primary outcome was defined as the occurrence of an inpatient hospitalization 6 months after the first FVC value. Descriptive and multivariable analysis was conducted to examine the impact of FVC decline on occurrence of inpatient hospitalization. RESULTS The sample included 566 patients: 13% (n = 75) with significant decline and 87% (n = 491) with marginal decline/stable FVC; their mean age (SD) was 65 (13.7) years and 56% were female. Autoimmune diagnoses were observed among 40% of patients with significant decline, and 27% with marginal decline/stable FVC. The significant decline group had better lung function at baseline than the marginal/stable group. For patients with FVC% <80% at baseline, reduction of FVC% ≥10% was associated with significantly increased odds of an inpatient hospitalization (odds ratio [OR] 2.85; confidence interval [CI] 1.17, 6.94 [p = 0.021]). CONCLUSION Decline in FVC% ≥10% was associated with increased odds of inpatient hospitalization among patients with reduced lung function at baseline. These findings support the importance of preserving lung function among patients with fibrosing ILD.
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Affiliation(s)
- David Singer
- Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT USA
| | - Benjamin Chastek
- Optum, Health Economics and Outcomes Research, Eden Prairie, MN USA
| | - Andrew Sargent
- Optum, Health Economics and Outcomes Research, Eden Prairie, MN USA
| | | | - Sharash Shetty
- Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT USA
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13
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Beaverson S, Ngo VM, Pahuja M, Dow A, Nana-Sinkam P, Schefft M. Things We Do for No Reason™: Race adjustments in calculating lung function from spirometry measurements. J Hosp Med 2023; 18:845-847. [PMID: 36205323 DOI: 10.1002/jhm.12974] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/16/2022] [Accepted: 09/14/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Sarah Beaverson
- Virginia Commonwealth School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Victoria M Ngo
- Virginia Commonwealth School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Meera Pahuja
- Virginia Commonwealth School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Palliative Care and Infectious Diseases, Virginia Commonwealth University Health, Richmond, Virginia, USA
| | - Alan Dow
- Virginia Commonwealth School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Internal Medicine, Virginia Commonwealth University Health, Richmond, Virginia, USA
| | - Patrick Nana-Sinkam
- Virginia Commonwealth School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Division of Pulmonary Diseases & Critical Care Medicine, Virginia Commonwealth University Health, Richmond, Virginia, USA
| | - Matthew Schefft
- Virginia Commonwealth School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Pediatrics, Children's Hospital of Richmond at VCU Health, Richmond, Virginia, USA
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14
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Marciniuk DD, Becker EA, Kaminsky DA, McCormack MC, Stanojevic S, Bhakta NR, Bime C, Comondore V, Cowl CT, Dell S, Haynes J, Jaffe F, Mottram C, Sederstrom N, Townsend M, Iaccarino JM. Effect of Race and Ethnicity on Pulmonary Function Testing Interpretation: An American College of Chest Physicians (CHEST), American Association for Respiratory Care (AARC), American Thoracic Society (ATS), and Canadian Thoracic Society (CTS) Evidence Review and Research Statement. Chest 2023; 164:461-475. [PMID: 36972760 PMCID: PMC10475820 DOI: 10.1016/j.chest.2023.03.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/15/2023] [Accepted: 03/18/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Calls have been made to discontinue the routine use of race and ethnicity in medicine. Specific to respiratory medicine, the use of race- and ethnicity-specific reference equations for the interpretation of pulmonary function test (PFT) results has been questioned. RESEARCH QUESTIONS Three key questions were addressed: (1) What is the current evidence supporting the use of race- and ethnicity-specific reference equations for the interpretation of PFTs? (2) What are the potential clinical implications of the use or nonuse of race and ethnicity in interpreting PFT results? and (3) What research gaps and questions must be addressed and answered to understand better the effect of race and ethnicity on PFT results interpretation and potential clinical and occupational health implications? STUDY DESIGN AND METHODS A joint multisociety (American College of Chest Physicians, American Association for Respiratory Care, American Thoracic Society, and Canadian Thoracic Society) expert panel was formed to undertake a comprehensive evidence review and to develop a statement with recommendations to address the research questions. RESULTS Several assumptions and gaps, both in the published literature and in our evolving understanding of lung health, were identified. It seems that many past perceptions and practices regarding the effect of race and ethnicity on PFT results interpretation are based on limited scientific evidence and measures that lack reliability. INTERPRETATION A need exists for more and better research that will inform our field about these many uncertainties and will serve as a foundation for future recommendations in this area. The identified shortcomings should not be discounted or dismissed because they may enable flawed conclusions, unintended consequences, or both. Addressing the identified research gaps and needs would allow a better-a more informed-understanding of the effects of race and ethnicity on PFT results interpretation.
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Affiliation(s)
- Darcy D Marciniuk
- Division of Respirology, Critical Care and Sleep Medicine, Respiratory Research Center, University of Saskatchewan, Saskatoon, SK.
| | - Ellen A Becker
- Division of Respiratory Care, Department of Cardiopulmonary Sciences Rush University, Chicago, IL
| | - David A Kaminsky
- Pulmonary and Critical Care, University of Vermont Larner College of Medicine, Burlington, VT
| | | | - Sanja Stanojevic
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS
| | - Nirav R Bhakta
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA
| | | | - Vikram Comondore
- Division of Respirology, McMaster University, Hamilton, ON; Division of Respirology, William Osler Health System, Brampton, ON
| | - Clayton T Cowl
- Division of Public Health, Infectious Diseases and Occupational Medicine and the Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
| | - Sharon Dell
- Department of Pediatrics and BC Children's Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Jeffrey Haynes
- Pulmonary Function Laboratory, Elliot Health System, Manchester, NH
| | - Fred Jaffe
- Temple University Hospital, Philadelphia, PA
| | | | | | - Mary Townsend
- M.C. Townsend Associates, LLC, Pittsburgh, PA; University of Pittsburgh School of Public Health, Pittsburgh, PA
| | - Jonathan M Iaccarino
- American College of Chest Physicians, Chicago, IL; Chobanian and Avedisian School of Medicine, Boston University, Boston, MA
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15
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Tasch J, Abujaber S, Hattar L, Jose A, Price LL, LaCamera P, Avella H. Clinical Manifestations of Subjects With the Non-Specific Pulmonary Function Test Pattern. OPEN RESPIRATORY ARCHIVES 2023; 5:100253. [PMID: 37810424 PMCID: PMC10556774 DOI: 10.1016/j.opresp.2023.100253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 05/29/2023] [Indexed: 10/10/2023] Open
Abstract
Introduction Non-specific pattern (NSP) is a subgroup of preserved ratio impaired spirometry (PRISm) that requires a normal total lung capacity measurement. NSP has been historically classified as being an obstructive lung disease pattern. There has been heightened interest and investigation into PRISm recently as it has been associated with an increased likelihood of developing chronic obstructive pulmonary disease (COPD). Given the inherent challenges of understanding the clinical significance of the NSP, the aim of this study was to further explore the clinical characteristics of patients with this pulmonary function test pattern. Material and methods We identified 111 and 79 subjects using pre-bronchodilator (pre-BD) and post-bronchodilator (post-BD) values, respectively, that met criteria for NSP. The outpatient medical records were retrospectively reviewed for associated diagnoses that were then clustered into 'obstructive' or 'non-obstructive' groups based on the treating physician's primary pulmonary clinical diagnosis. Results Within this NSP cohort, cough, wheezing and sputum production were documented more frequently in those with an obstructive lung disease diagnosis. Whether identified using pre-BD or post-BD spirometric values, those with NSP and a positive BD response were more likely to carry an obstructive lung disease diagnosis. Conclusion Approximately one third of patients with NSP in this study were not given an obstructive lung disease diagnosis by their clinician, which supports the classification of NSP as not an exclusively obstructive lung disease pattern. However, the presence of supporting clinical symptoms, such as cough with sputum production and wheeze, and/or a positive BD response on PFT, support a diagnosis of obstruction in patients with NSP.
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Affiliation(s)
- James Tasch
- Division of Pulmonary, Critical Care and Sleep Medicine, Steward St. Elizabeth's Medical Center, Boston, MA, United States
| | - Samer Abujaber
- Division of Pulmonary, Critical Care and Sleep Medicine, Steward St. Elizabeth's Medical Center, Boston, MA, United States
| | - Laith Hattar
- Department of Medicine, Steward St. Elizabeth's Medical Center, Boston, MA, United States
| | - Aju Jose
- Department of Medicine, Steward St. Elizabeth's Medical Center, Boston, MA, United States
| | - Lori Lyn Price
- Clinical and Translational Science Institute, Tufts University, Boston, MA, United States
| | - Peter LaCamera
- Division of Pulmonary, Critical Care and Sleep Medicine, Steward St. Elizabeth's Medical Center, Boston, MA, United States
| | - Hernan Avella
- Division of Pulmonary, Critical Care and Sleep Medicine, Steward St. Elizabeth's Medical Center, Boston, MA, United States
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16
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Van Tho N, Phan TP, Dinh-Xuan AT, Ngo QC, Lan LTT. COPD Patients with Asthma Features in Vietnam: Prevalence and Suitability for Personalized Medicine. J Pers Med 2023; 13:901. [PMID: 37373890 DOI: 10.3390/jpm13060901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/24/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
COPD patients with asthma features usually benefit from inhaled corticosteroids (ICS)-containing regimens, but their burden and diagnostic criteria remain to be established. The aims of this study were to estimate the proportion of patients with asthma features among patients with physician-diagnosed COPD and to investigate differences in clinical characteristics and current medications between COPD patients with asthma features and patients with COPD alone. A cross-sectional study was conducted at two respiratory out-patient clinics at the University Medical Center in Ho Chi Minh City and Bach Mai Hospital in Ha Noi, Vietnam. COPD patients with asthma features were identified by attending physicians following the approach recommended by the GINA/GOLD joint committee. Of the 332 patients screened, 300 were enrolled in the study. The proportion of COPD patients with asthma features was 27.3% (95% confidence interval (95% CI) 22.6-32.6%). COPD patients with asthma features were younger, with higher FEV1 values, a greater proportion of positive bronchodilator reversibility tests, higher blood eosinophil count, and were more often treated with ICS/LABA (ICS/long-acting bronchodilator beta-2 agonist) than patients with COPD alone. The prevalence of COPD patients with asthma features is particularly high in Vietnam thus requiring appropriate action plans in clinical practice.
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Affiliation(s)
- Nguyen Van Tho
- Department of Tuberculosis and Lung Diseases, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
- Department of Pulmonary Functional Exploration, University Medical Center at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Thu Phuong Phan
- Department of Internal Medicine, Ha Noi Medical University, Ha Noi City, Vietnam
- Respiratory Center, Bach Mai Hospital, Ha Noi City, Vietnam
| | - Anh Tuan Dinh-Xuan
- AP-HP, Hôpital Cochin, Service de Physiologie-Explorations Fonctionnelles, Paris, France
| | - Quy Chau Ngo
- Department of Internal Medicine, Ha Noi Medical University, Ha Noi City, Vietnam
- Tam Anh General Hospital, Ha Noi City, Vietnam
| | - Le Thi Tuyet Lan
- Department of Pulmonary Functional Exploration, University Medical Center at Ho Chi Minh City, Ho Chi Minh City, Vietnam
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17
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Tho NV, Quan VTT, Dung DV, Phu NH, Dinh-Xuan AT, Lan LTT. GINA Implementation Improves Asthma Symptoms Control and Lung Function: A Five-Year Real-World Follow-Up Study. J Pers Med 2023; 13:jpm13050809. [PMID: 37240979 DOI: 10.3390/jpm13050809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/03/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
Symptoms control remains challenging for most patients with asthma. This study was conducted to evaluate the level of asthma symptoms control and lung function over 5 years of GINA (Global INitiative for Asthma) implementation. We included all patients with asthma who had been managed following GINA recommendations at the Asthma and COPD Outpatient Care Unit (ACOCU) of the University Medical Center in Ho Chi Minh City, Vietnam from October 2006 to October 2016. Of 1388 patients with asthma managed following GINA recommendations, the proportion of patients with well-controlled asthma significantly improved from 2.6% at baseline to 66.8% at month 3, 64.8% at year 1, 59.6% at year 2, 58.6% at year 3, 57.7% at year 4, and 59.5% at year 5 (p < 0.0001 for all comparisons). The proportion of patients with persistent airflow limitation significantly decreased from 26.7% at baseline to 12.6% at year 1 (p < 0.0001), 14.4% at year 2 (p < 0.0001), 15.9% at year 3 (p = 0.0006), 12.7% at year 4 (p = 0.0047), and 12.2% at year 5 (p = 0.0011). In patients with asthma managed according to GINA recommendations, asthma symptoms control and lung function improved after 3 months and the improvement was sustained over 5 years.
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Affiliation(s)
- Nguyen Van Tho
- Department of Tuberculosis and Lung Diseases, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
- Department of Pulmonary Functional Exploration, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Vu Tran Thien Quan
- Department of Pulmonary Functional Exploration, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
- Department of Pathophysiology-Immunology, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Do Van Dung
- Department of Biostatistics, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Nguyen Hoang Phu
- Department of Pulmonology, Dong Nai General Hospital, Bien Hoa City, Vietnam
| | - Anh Tuan Dinh-Xuan
- AP-HP, Hôpital Cochin, Service de Physiologie-Explorations Fonctionnelles, Paris, France
| | - Le Thi Tuyet Lan
- Department of Pulmonary Functional Exploration, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
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18
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Kim JS, Azarbarzin A, Podolanczuk AJ, Anderson MR, Cade BE, Kawut SM, Wysoczanski A, Laine AF, Hoffman EA, Gottlieb DJ, Garcia CK, Barr RG, Redline S. Obstructive Sleep Apnea and Longitudinal Changes in Interstitial Lung Imaging and Lung Function: The MESA Study. Ann Am Thorac Soc 2023; 20:728-737. [PMID: 36790913 PMCID: PMC10174121 DOI: 10.1513/annalsats.202208-719oc] [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: 08/20/2022] [Accepted: 02/15/2023] [Indexed: 02/16/2023] Open
Abstract
Rationale: Obstructive sleep apnea (OSA) has been hypothesized to be a risk factor in interstitial lung disease (ILD) and is associated with radiological markers that may represent the earlier stages of ILD. Prior studies have been limited by their cross-sectional design and potential confounding by body habitus. Objectives: To test the hypothesis that OSA severity is associated with more high-attenuation areas (HAAs) on computed tomography and worse lung function over time among older community-dwelling adults. Methods: We used data from participants in the MESA (Multi-Ethnic Study of Atherosclerosis) who had apnea-hypopnea index (AHI) measured from polysomnography (2010-2013), high attenuation areas (HAAs, -600 to -250 Hounsfield units, n = 784), assessments from exams 5 (2010-2012) and 6 (2016-2018) full-lung computed tomography scans, and spirometry assessments (n = 677). Linear mixed-effects models with random intercept were used to examine associations of OSA severity (i.e., AHI and hypoxic burden) with changes in HAAs, total lung volumes, and forced vital capacity (FVC) between exams 5 and 6. Potential confounders were adjusted for in the model, including age, sex, smoking history, height, and weight. Results: Among those with a higher AHI there were more men and a higher body mass index. Participants with AHI ⩾ 15 events/h and in the highest hypoxic burden quartile each had increases in HAAs of 11.30% (95% confidence interval [CI], 3.74-19.35%) and 9.85% (95% CI, 1.40-19.01%) per 10 years, respectively. There was a more rapid decline in total lung volumes imaged and FVC among those with AHI ⩾ 15 events/h of 220.2 ml (95% CI, 47.8-392.5 ml) and 3.63% (95% CI, 0.43-6.83%) per 10 years, respectively. Conclusions: A greater burden of hypoxia related to obstructive events during sleep was associated with increased lung densities over time and a more rapid decline in lung volumes regardless of body habitus. Our findings suggest OSA may be a contributing factor in the early stages of ILD.
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Affiliation(s)
- John S. Kim
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Ali Azarbarzin
- Division of Sleep and Circadian Sleep Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Anna J. Podolanczuk
- Division of Pulmonary and Critical Care Medicine, Weill Cornell Medical Center, New York, New York
| | | | - Brian E. Cade
- Division of Sleep and Circadian Sleep Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Steven M. Kawut
- Department of Medicine, Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Artur Wysoczanski
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Andrew F. Laine
- Department of Biomedical Engineering, Columbia University, New York, New York
| | - Eric A. Hoffman
- Department of Radiology
- Department of Medicine, and
- Department of Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Daniel J. Gottlieb
- Veterans Affairs Boston Healthcare System, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Christine Kim Garcia
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - R. Graham Barr
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- Department of Epidemiology, Mailman School of Public Health, New York, New York; and
| | - Susan Redline
- Division of Sleep and Circadian Sleep Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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Hines SE, Dement J, Cloeren M, Cranford K, Quinn PS, Ringen K. Restrictive spirometry pattern among construction trade workers. Am J Ind Med 2023; 66:484-499. [PMID: 36942569 DOI: 10.1002/ajim.23474] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/22/2023] [Accepted: 03/07/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Spirometry-based studies of occupational lung disease have mostly focused on obstructive or mixed obstructive/restrictive outcomes. We wanted to determine if restrictive spirometry pattern (RSP) is associated with occupation and increased mortality. METHODS Study participants included 18,145 workers with demographic and smoking data and repeatable spirometry. The mortality analysis cohort included 15,445 workers with known vital status and cause of death through December 31, 2016. Stratified analyses explored RSP prevalence by demographic and clinical variables and trade. Log-binomial regression models explored RSP risk factors while controlling for important confounders such as smoking, obesity, and comorbidities. Cox regression models explored mortality risk by spirometry category. RESULTS Prevalence of RSP was very high (28.6%). Mortality hazard ratios for RSP were 1.50 for all causes, 1.86 for cardiovascular diseases, 2.31 for respiratory diseases, and 1.66 for lung cancer. All construction trades except painters, machinists, and roofers had significantly elevated risk for RSP compared to our internal reference group. RSP was significantly associated with both parenchymal and pleural changes seen by chest X-ray. CONCLUSIONS Construction trade workers are at significantly increased risk for RSP independent of obesity. Individuals with RSP are at increased risk for all-cause mortality as well as mortality attributable to respiratory diseases, cardiovascular diseases, and lung cancer. RSP deserves greater attention in occupational medicine and epidemiology.
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Affiliation(s)
- Stella E Hines
- Division of Occupational and Environmental Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - John Dement
- Division of Occupational and Environmental Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Marianne Cloeren
- Division of Occupational and Environmental Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Kim Cranford
- Zenith American Solutions, Covina, California, USA
| | - Patricia S Quinn
- Energy Employees Department, CPWR Center for Construction Research and Training, Silver Spring, Maryland, USA
| | - Knut Ringen
- Energy Employees Department, CPWR Center for Construction Research and Training, Silver Spring, Maryland, USA
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20
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Kim JS, Kim J, Yin X, Hiura GT, Anderson MR, Hoffman EA, Raghu G, Noth I, Manichaikul A, Rich SS, Smith BM, Podolanczuk AJ, Garcia CK, Barr RG, Prince MR, Oelsner EC. Associations of hiatus hernia with CT-based interstitial lung changes: the MESA Lung Study. Eur Respir J 2023; 61:2103173. [PMID: 35777776 PMCID: PMC10203882 DOI: 10.1183/13993003.03173-2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 06/02/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Hiatus hernia (HH) is prevalent in adults with pulmonary fibrosis. We hypothesised that HH would be associated with markers of lung inflammation and fibrosis among community-dwelling adults and stronger among MUC5B (rs35705950) risk allele carriers. METHODS In the Multi-Ethnic Study of Atherosclerosis, HH was assessed from cardiac and full-lung computed tomography (CT) scans performed at Exam 1 (2000-2002, n=3342) and Exam 5 (2010-2012, n=3091), respectively. Percentage of high attenuation areas (HAAs; percentage of voxels with attenuation between -600 and -250 HU) was measured from cardiac and lung scans. Interstitial lung abnormalities (ILAs) were examined from Exam 5 scans (n=2380). Regression models were used to examine the associations of HH with HAAs, ILAs and serum matrix metalloproteinase-7 (MMP-7), and adjusted for age, sex, race/ethnicity, educational attainment, smoking, height, weight and scanner parameters for HAA analysis. RESULTS HH detected from Exam 5 scans was associated with a mean percentage difference in HAAs of 2.23% (95% CI 0.57-3.93%) and an increase of 0.48% (95% CI 0.07-0.89%) per year, particularly in MUC5B risk allele carriers (p-value for interaction=0.02). HH was associated with ILAs among those <80 years of age (OR for ILAs 1.78, 95% CI 1.14-2.80) and higher serum MMP-7 level among smokers (p-value for smoking interaction=0.04). CONCLUSIONS HH was associated with more HAAs over time, particularly among MUC5B risk allele carriers, and ILAs in younger adults, and may be a risk factor in the early stages of interstitial lung disease.
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Affiliation(s)
- John S Kim
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Jinhye Kim
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
- Department of Radiology, Westchester Medical Center, Valhalla, NY, USA
| | - Xiaorui Yin
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
| | - Grant T Hiura
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Eric A Hoffman
- Department of Radiology, Carver School of Medicine, University of Iowa, Iowa City, IA, USA
| | - Ganesh Raghu
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Imre Noth
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Ani Manichaikul
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Stephen S Rich
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Benjamin M Smith
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Medicine, McGill University, Montreal, QC, Canada
| | - Anna J Podolanczuk
- Division of Pulmonary and Critical Care, Weill Cornell Medical College, New York, NY, USA
| | - Christine Kim Garcia
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Martin R Prince
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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21
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Ringen K, Dement J, Welch L, Quinn P. How much have adverse occupational health outcomes among construction workers improved over time? Evidence from 25 years of medical screening. Am J Ind Med 2023; 66:18-29. [PMID: 36398410 DOI: 10.1002/ajim.23445] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Construction workers have always had a high risk of occupational illnesses. We used 25 years of data from a medical screening program serving older construction workers to determine how much health outcomes have improved over the past 60 years. METHODS We investigated changes in relative risk for chest radiographs consistent with pneumoconiosis, COPD by spirometry, lung cancer mortality, and audiometry-assessed hearing impairment among workers participating in a medical screening program. Results were stratified by decade of first construction employment: before 1960, 1960-1969, 1970-1979, 1980-1989, and after 1990. Poisson and Cox regression analyses assessed relative risk by decade adjusted for age, sex, smoking, and years of construction trade work. RESULTS Subjects were 94% male and, on average, 60 years old with 25 years of construction work. When compared to workers employed before 1960, those first employed after 1990 experienced the following reductions in model-adjusted relative risks: chronic obstructive pulmonary disease, 32%; all pneumoconiosis, 68%; parenchymal abnormalities, 35%; pleural abnormalities, 71%; hearing impairment, 20%; and lung cancer mortality, 48%. Risks started to decline in the 1960s with greatest reductions among workers first employed after 1970. CONCLUSIONS This study demonstrates the positive impact that adoption of occupational health protections have had over the past 60 years. The greatest risk reductions were observed for outcomes with strong regulatory and legal incentives to reduce exposures and associated risks, such as those associated with inhalation hazards (asbestos and silica), while lowest improvement was for hearing impairment, for which little regulatory enforcement and few prevention incentives have been adopted.
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Affiliation(s)
- Knut Ringen
- Energy Employees Department, CPWR-The Center for Construction Research and Training, Silver Spring, Maryland, USA
| | - John Dement
- Division of Occupational and Environmental Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Laura Welch
- Energy Employees Department, CPWR-The Center for Construction Research and Training, Silver Spring, Maryland, USA
| | - Patricia Quinn
- Energy Employees Department, CPWR-The Center for Construction Research and Training, Silver Spring, Maryland, USA
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22
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Kim W, Hecker J, Barr RG, Boerwinkle E, Cade B, Correa A, Dupuis J, Gharib SA, Lange L, London SJ, Morrison AC, O'Connor GT, Oelsner EC, Psaty BM, Vasan RS, Redline S, Rich SS, Rotter JI, Yu B, Lange C, Manichaikul A, Zhou JJ, Sofer T, Silverman EK, Qiao D, Cho MH. Assessing the contribution of rare genetic variants to phenotypes of chronic obstructive pulmonary disease using whole-genome sequence data. Hum Mol Genet 2022; 31:3873-3885. [PMID: 35766891 PMCID: PMC9652112 DOI: 10.1093/hmg/ddac117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/13/2022] [Accepted: 05/16/2021] [Indexed: 01/04/2023] Open
Abstract
RATIONALE Genetic variation has a substantial contribution to chronic obstructive pulmonary disease (COPD) and lung function measurements. Heritability estimates using genome-wide genotyping data can be biased if analyses do not appropriately account for the nonuniform distribution of genetic effects across the allele frequency and linkage disequilibrium (LD) spectrum. In addition, the contribution of rare variants has been unclear. OBJECTIVES We sought to assess the heritability of COPD and lung function using whole-genome sequence data from the Trans-Omics for Precision Medicine program. METHODS Using the genome-based restricted maximum likelihood method, we partitioned the genome into bins based on minor allele frequency and LD scores and estimated heritability of COPD, FEV1% predicted and FEV1/FVC ratio in 11 051 European ancestry and 5853 African-American participants. MEASUREMENTS AND MAIN RESULTS In European ancestry participants, the estimated heritability of COPD, FEV1% predicted and FEV1/FVC ratio were 35.5%, 55.6% and 32.5%, of which 18.8%, 19.7%, 17.8% were from common variants, and 16.6%, 35.8%, and 14.6% were from rare variants. These estimates had wide confidence intervals, with common variants and some sets of rare variants showing a statistically significant contribution (P-value < 0.05). In African-Americans, common variant heritability was similar to European ancestry participants, but lower sample size precluded calculation of rare variant heritability. CONCLUSIONS Our study provides updated and unbiased estimates of heritability for COPD and lung function, and suggests an important contribution of rare variants. Larger studies of more diverse ancestry will improve accuracy of these estimates.
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Affiliation(s)
- Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Julian Hecker
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Brian Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University of Public Health, Boston, MA 02118, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA 98109, USA
| | - Leslie Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, Department of Health and Human Services, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Alanna C Morrison
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - George T O'Connor
- Pulmonary Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Elizabeth C Oelsner
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Departments of Epidemiology and Health Services, University of Washington, Seattle, WA 98101, USA
| | - Ramachandran S Vasan
- Lung and Blood Institute Framingham Heart Study, Boston University and National Heart, Framingham, MA 01702, USA
- Department of Preventive Medicine and Epidemiology, School of Medicine and Public Health, Boston University, Boston, MA 02118, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Christoph Lange
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Jin J Zhou
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85721, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorder, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
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Hermann EA, Motahari A, Hoffman EA, Allen N, Bertoni AG, Bluemke DA, Eskandari A, Gerard SE, Guo J, Hiura GT, Kaczka DW, Michos ED, Nagpal P, Pankow J, Shah S, Smith BM, Stukovsky KH, Sun Y, Watson K, Barr RG. Pulmonary Blood Volume Among Older Adults in the Community: The MESA Lung Study. Circ Cardiovasc Imaging 2022; 15:e014380. [PMID: 35938411 PMCID: PMC9387743 DOI: 10.1161/circimaging.122.014380] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND The pulmonary vasculature is essential for gas exchange and impacts both pulmonary and cardiac function. However, it is difficult to assess and its characteristics in the general population are unknown. We measured pulmonary blood volume (PBV) noninvasively using contrast enhanced, dual-energy computed tomography to evaluate its relationship to age and symptoms among older adults in the community. METHODS The MESA (Multi-Ethnic Study of Atherosclerosis) is an ongoing community-based, multicenter cohort. All participants attending the most recent MESA exam were selected for contrast enhanced dual-energy computed tomography except those with estimated glomerular filtration rate <60 mL/min per 1.73 m2. PBV was calculated by material decomposition of dual-energy computed tomography images. Multivariable models included age, sex, race/ethnicity, education, height, weight, smoking status, pack-years, and scanner model. RESULTS The mean age of the 727 participants was 71 (range 59-94) years, and 55% were male. The race/ethnicity distribution was 41% White, 29% Black, 17% Hispanic, and 13% Asian. The mean±SD PBV in the youngest age quintile was 547±180 versus 433±194 mL in the oldest quintile (P<0.001), with an approximately linear decrement of 50 mL per 10 years of age ([95% CI, 32-67]; P<0.001). Findings were similar with multivariable adjustment. Lower PBV was associated independently with a greater dyspnea after a 6-minute walk (P=0.04) and greater composite dyspnea symptom scores (P=0.02). Greater PBV was also associated with greater height, weight, lung volume, Hispanic race/ethnicity, and nonsmoking history. CONCLUSIONS Pulmonary blood volume was substantially lower with advanced age and was associated independently with greater symptoms scores in the elderly.
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Affiliation(s)
- Emilia A. Hermann
- 1. Department of Medicine, Columbia University Medical Center, New York, NY
| | | | | | | | | | | | | | | | | | - Grant T. Hiura
- 1. Department of Medicine, Columbia University Medical Center, New York, NY
| | | | | | - Prashant Nagpal
- 2. University of Iowa, Iowa City, IA
- 5. University of Wisconsin-Madison, Madison WI
| | - Jim Pankow
- 7. University of Minnesota, Minneapolis, MN
| | | | - Benjamin M Smith
- 1. Department of Medicine, Columbia University Medical Center, New York, NY
| | | | - Yifei Sun
- 9. Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center, New York, NY
| | - Karol Watson
- 10. University of California, Los Angeles, Los Angeles, CA
| | - R. Graham Barr
- 1. Department of Medicine, Columbia University Medical Center, New York, NY
- 11. Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY
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Witonsky J, Elhawary JR, Eng C, Rodríguez-Santana JR, Borrell LN, Burchard EG. Race- and Ethnicity-Based Spirometry Reference Equations: Are They Accurate for Genetically Admixed Children? Chest 2022; 162:184-195. [PMID: 35033507 DOI: 10.1016/j.chest.2021.12.664] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Variation in genetic ancestry among genetically admixed racial and ethnic groups may influence the fit of guideline-recommended spirometry reference equations, which rely on self-identified race and ethnicity. RESEARCH QUESTION What is the influence of genetic ancestry on the fit of race- and ethnicity-based spirometry reference equations in populations of genetically admixed children? STUDY DESIGN AND METHODS Cross-sectional fit of guideline-recommended race- and ethnicity-based spirometry reference equations was evaluated in healthy control participants from case-control studies of asthma. Anthropometry, blood samples, and spirometric measurements were obtained for 599 genetically admixed children 8 to 21 years of age. Genetic ancestry was estimated using genome-wide genotype data. Equation fit, measured as a mean z score, was assessed in self-identified African American (n = 275) and Puerto Rican (n = 324) children as well as genetic ancestry-defined strata of each population. RESULTS For African American children, African American-derived equations fit for predicting FEV1 and FVC in those with an African ancestry more than the median (81.4%-100.0%), whereas composite equations for "other/mixed" populations fit for predicting FEV1 and FVC in those with African ancestry at or less than the median (30.7%-81.3%). For Puerto Rican children with African ancestry at or less than the median (6.4%-21.3%), White-derived equations fit both FEV1 and FVC, whereas for those with African ancestry more than the median (21.4%-87.5%), White-derived equations fit the FEV1 and the composite equations fit the FVC. INTERPRETATION Guideline-recommended spirometry reference equations yielded biased estimates of lung function in genetically admixed children with high variation of African ancestry. Spirometry could benefit from reference equations that incorporate genetic ancestry, either for more precise application of the current equations or the derivation and use of new equations.
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Affiliation(s)
- Jonathan Witonsky
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA.
| | - Jennifer R Elhawary
- Department of Medicine, University of California, San Francisco, San Francisco, CA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, CA
| | | | - Luisa N Borrell
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, NY
| | - Esteban G Burchard
- Department of Medicine and Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
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25
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Barros MC, Hochhegger B, Altmayer S, Zanon M, Sartori G, Watte G, do Nascimento MHS, Chatkin JM. The Normal Lung Index From Quantitative Computed Tomography for the Evaluation of Obstructive and Restrictive Lung Disease. J Thorac Imaging 2022; 37:246-252. [PMID: 35749622 DOI: 10.1097/rti.0000000000000629] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Our objective was to evaluate whether the normal lung index (NLI) from quantitative computed tomography (QCT) analysis can be used to predict mortality as well as pulmonary function tests (PFTs) in patients with chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD). MATERIALS AND METHODS Normal subjects (n=20) and patients with COPD (n=172) and ILD (n=114) who underwent PFTs and chest CT were enrolled retrospectively in this study. QCT measures included the NLI, defined as the ratio of the lung with attenuation between -950 and -700 Hounsfield units (HU) over the total lung volume (-1024 to -250 HU, mL), high-attenuation area (-700 to -250 HU, %), emphysema index (>6% of pixels < -950 HU), skewness, kurtosis, and mean lung attenuation. Coefficients of correlation between QCT measurements and PFT results in all subjects were calculated. Univariate and multivariate survival analyses were performed to assess mortality prediction by disease. RESULTS The Pearson correlation analysis showed that the NLI correlated moderately with the forced expiratory volume in 1 second in subjects with COPD (r=0.490, P<0.001) and the forced vital capacity in subjects with ILD (r=0.452, P<0.001). Multivariate analysis revealed that the NLI of <70% was a significant independent predictor of mortality in subjects with COPD (hazard ratio=3.14, P=0.034) and ILD (hazard ratio=2.72, P=0.005). CONCLUSION QCT analysis, specifically the NLI, can also be used to predict mortality in individuals with COPD and ILD.
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Affiliation(s)
| | | | | | - Matheus Zanon
- Irmandade Santa Casa de Misericordia de Porto Alegre, Porto Alegre
| | - Gabriel Sartori
- Irmandade Santa Casa de Misericordia de Porto Alegre, Porto Alegre
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Armstrong HF, Lederer D, Lovasi GS, Hiura G, Ventetuolo CE, Barr RG. Selective serotonin reuptake inhibitors and lung function in the multi-ethnic study of atherosclerosis lung study. Respir Med 2022; 196:106805. [PMID: 35306387 PMCID: PMC9453638 DOI: 10.1016/j.rmed.2022.106805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/28/2022] [Accepted: 03/06/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Depression in patients with Chronic Obstructive Pulmonary Disease (COPD) has been shown to be chronic and potentially increase the burden of symptoms. Selective serotonin reuptake inhibitors (SSRIs) have anti-inflammatory and serotonergic effects that may improve lung function. We hypothesized that participants taking SSRIs have better lung function than those not taking SSRIs. The dataset was the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. Use of SSRIs was assessed by medication inventory; spirometry was conducted following standard guidelines; dyspnea ratings were self-reported. RESULTS Contrary to our hypothesis, FEV1 was lower, and odds of dyspnea were higher among participants taking SSRIs as compared with those not taking an antidepressant; these differences persisted even with control for potential confounders including depressive symptoms. We found no evidence of a beneficial association between SSRI use and lung function or dyspnea in a large US-based cohort.
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Affiliation(s)
| | | | - Gina S Lovasi
- Drexel Dornsife School of Public Health, Philadelphia, USA.
| | - Grant Hiura
- Columbia University Medical Center, New York, USA.
| | | | - RGraham Barr
- Columbia University Medical Center, New York, USA.
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Ramsey NB, Apter AJ, Israel E, Louisias M, Noroski LM, Nyenhuis SM, Ogbogu PU, Perry TT, Wang J, Davis CM. Deconstructing the Way We Use Pulmonary Function Test Race-Based Adjustments. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2022; 10:972-978. [PMID: 35184982 DOI: 10.1016/j.jaip.2022.01.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 01/08/2022] [Accepted: 01/21/2022] [Indexed: 06/14/2023]
Abstract
Race is a social construct. It is used in medical diagnostic algorithms to adjust the readout for spirometry and other diagnostic tests. The authors review historic evidence about the origins of race adjustment in spirometry, and recent attention to the lack of scientific evidence for their continued use. Existing reference values imply that White patients have better lung function than non-White patients. They perpetuate the historical assumptions that human biological functions of the lung should be calculated differently on the basis of racial-skin color without considering the difficulty of using self-identified race. More importantly, they fail to consider the important effects of environmental exposures, socioeconomic differences, health care access, and prenatal factors on lung function. In addition, the use of "race adjustment" implies a White standard to which other non-White values need "adjustment." Because of the spirometric guidelines in place, the current diagnostic prediction adjustment practice may have untoward effects on patients not categorized as "White," including underdiagnosis in asthma and restrictive lung disease, undertreatment with lung transplant, undercompensation in workers compensation cases, and other unintended consequences. Individuals, institutions, national organizations, and policymakers should carefully consider the historic basis, and reconsider the current role of an automated, race-based adjustment in spirometry.
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Affiliation(s)
- Nicole B Ramsey
- Icahn School of Medicine at Mount Sinai, Kravis Children's Hospital, Department of Pediatrics, Division of Allergy and Immunology, The Elliot and Roslyn Jaffe Food Allergy Institute, New York, NY.
| | - Andrea J Apter
- University of Pennsylvania, Department of Medicine, Division of Allergy & Immunology, Philadelphia, Pa
| | - Elliot Israel
- Harvard Medical School, Brigham Women's Hospital, Divisions of Pulmonary & Critical Care and Allergy & Immunology, Boston, Mass
| | - Margee Louisias
- Brigham and Women's Hospital, Division of Allergy and Clinical Immunology, Harvard Medical School, Boston, Mass; Boston Children's Hospital, Division of Immunology, Boston, Mass
| | - Lenora M Noroski
- Division of Immunology, Allergy, and Retrovirology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas
| | - Sharmilee M Nyenhuis
- University of Illinois at Chicago, Department of Medicine, Division of Pulmonary, Critical Care, Sleep and Allergy, Chicago, Ill
| | - Princess U Ogbogu
- University Hospitals Rainbow Babies and Children's Hospital, Cleveland, Ohio; Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Tamara T Perry
- University of Arkansas for Medical Sciences and Arkansas Children's Research Institute, Little Rock, Ark
| | - Julie Wang
- Icahn School of Medicine at Mount Sinai, Kravis Children's Hospital, Department of Pediatrics, Division of Allergy and Immunology, The Elliot and Roslyn Jaffe Food Allergy Institute, New York, NY
| | - Carla M Davis
- Division of Immunology, Allergy, and Retrovirology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas
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Kanaya AM, Hsing AW, Panapasa SV, Kandula NR, Araneta MRG, Shimbo D, Wang P, Gomez SL, Lee J, Narayan KMV, Mau MKLM, Bose S, Daviglus ML, Hu FB, Islam N, Jackson CL, Kataoka-Yahiro M, Kauwe JSK, Liu S, Ma GX, Nguyen T, Palaniappan L, Setiawan VW, Trinh-Shevrin C, Tsoh JY, Vaidya D, Vickrey B, Wang TJ, Wong ND, Coady S, Hong Y. Knowledge Gaps, Challenges, and Opportunities in Health and Prevention Research for Asian Americans, Native Hawaiians, and Pacific Islanders: A Report From the 2021 National Institutes of Health Workshop. Ann Intern Med 2022; 175:574-589. [PMID: 34978851 PMCID: PMC9018596 DOI: 10.7326/m21-3729] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Asian Americans (AsA), Native Hawaiians, and Pacific Islanders (NHPI) comprise 7.7% of the U.S. population, and AsA have had the fastest growth rate since 2010. Yet the National Institutes of Health (NIH) has invested only 0.17% of its budget on AsA and NHPI research between 1992 and 2018. More than 40 ethnic subgroups are included within AsA and NHPI (with no majority subpopulation), which are highly diverse culturally, demographically, linguistically, and socioeconomically. However, data for these groups are often aggregated, masking critical health disparities and their drivers. To address these issues, in March 2021, the National Heart, Lung, and Blood Institute, in partnership with 8 other NIH institutes, convened a multidisciplinary workshop to review current research, knowledge gaps, opportunities, barriers, and approaches for prevention research for AsA and NHPI populations. The workshop covered 5 domains: 1) sociocultural, environmental, psychological health, and lifestyle dimensions; 2) metabolic disorders; 3) cardiovascular and lung diseases; 4) cancer; and 5) cognitive function and healthy aging. Two recurring themes emerged: Very limited data on the epidemiology, risk factors, and outcomes for most conditions are available, and most existing data are not disaggregated by subgroup, masking variation in risk factors, disease occurrence, and trajectories. Leveraging the vast phenotypic differences among AsA and NHPI groups was identified as a key opportunity to yield novel clues into etiologic and prognostic factors to inform prevention efforts and intervention strategies. Promising approaches for future research include developing collaborations with community partners, investing in infrastructure support for cohort studies, enhancing existing data sources to enable data disaggregation, and incorporating novel technology for objective measurement. Research on AsA and NHPI subgroups is urgently needed to eliminate disparities and promote health equity in these populations.
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Affiliation(s)
- Alka M Kanaya
- University of California, San Francisco, San Francisco, California (A.M.K., S.L.G., T.N., J.Y.T.)
| | - Ann W Hsing
- Stanford University, Stanford, California (A.W.H., P.W., L.P.)
| | | | | | | | - Daichi Shimbo
- Columbia University Irving Medical Center, New York, New York (D.S.)
| | - Paul Wang
- Stanford University, Stanford, California (A.W.H., P.W., L.P.)
| | - Scarlett L Gomez
- University of California, San Francisco, San Francisco, California (A.M.K., S.L.G., T.N., J.Y.T.)
| | - Jinkook Lee
- University of Southern California, Los Angeles, California (J.L., V.W.S.)
| | | | | | - Sonali Bose
- Icahn School of Medicine at Mount Sinai, New York, New York (S.B., B.V.)
| | | | - Frank B Hu
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (F.B.H.)
| | - Nadia Islam
- New York University Grossman School of Medicine, New York, New York (N.I., C.T.)
| | - Chandra L Jackson
- National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, Maryland (C.L.J.)
| | | | | | - Simin Liu
- Brown University, Providence, Rhode Island (S.L.)
| | - Grace X Ma
- Temple University, Philadelphia, Pennsylvania (G.X.M.)
| | - Tung Nguyen
- University of California, San Francisco, San Francisco, California (A.M.K., S.L.G., T.N., J.Y.T.)
| | | | - V Wendy Setiawan
- University of Southern California, Los Angeles, California (J.L., V.W.S.)
| | - Chau Trinh-Shevrin
- New York University Grossman School of Medicine, New York, New York (N.I., C.T.)
| | - Janice Y Tsoh
- University of California, San Francisco, San Francisco, California (A.M.K., S.L.G., T.N., J.Y.T.)
| | | | - Barbara Vickrey
- Icahn School of Medicine at Mount Sinai, New York, New York (S.B., B.V.)
| | - Thomas J Wang
- University of Texas Southwestern Medical Center, Dallas, Texas (T.J.W.)
| | - Nathan D Wong
- University of California, Irvine, Irvine, California (N.D.W.)
| | - Sean Coady
- National Heart, Lung, and Blood Institute, Bethesda, Maryland (S.C., Y.H.)
| | - Yuling Hong
- National Heart, Lung, and Blood Institute, Bethesda, Maryland (S.C., Y.H.)
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Kim JS, Axelsson GT, Moll M, Anderson MR, Bernstein EJ, Putman RK, Hida T, Hatabu H, Hoffman EA, Raghu G, Kawut SM, Doyle MF, Tracy R, Launer LJ, Manichaikul A, Rich SS, Lederer DJ, Gudnason V, Hobbs BD, Cho MH, Hunninghake GM, Garcia CK, Gudmundsson G, Barr RG, Podolanczuk AJ. Associations of Monocyte Count and Other Immune Cell Types with Interstitial Lung Abnormalities. Am J Respir Crit Care Med 2022; 205:795-805. [PMID: 34929108 PMCID: PMC10394677 DOI: 10.1164/rccm.202108-1967oc] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Rationale: Higher blood monocyte counts are associated with worse survival in adults with clinically diagnosed pulmonary fibrosis. Their association with the development and progression of interstitial lung abnormalities (ILA) in humans is unknown. Objectives: We evaluated the associations of blood monocyte count, and other immune cell types, with ILA, high-attenuation areas, and FVC in four independent cohorts. Methods: We included participants with measured monocyte counts and computed tomographic (CT) imaging enrolled in MESA (Multi-Ethnic Study of Atherosclerosis, n = 484), AGES-Reykjavik (Age/Gene Environment Susceptibility Study, n = 3,547), COPDGene (Genetic Epidemiology of COPD, n = 2,719), and the ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points, n = 646). Measurements and Main Results: After adjustment for covariates, a 1-SD increment in blood monocyte count was associated with ILA in MESA (odds ratio [OR], 1.3; 95% confidence interval [CI], 1.0-1.8), AGES-Reykjavik (OR, 1.2; 95% CI, 1.1-1.3), COPDGene (OR, 1.3; 95% CI, 1.2-1.4), and ECLIPSE (OR, 1.2; 95% CI, 1.0-1.4). A higher monocyte count was associated with ILA progression over 5 years in AGES-Reykjavik (OR, 1.2; 95% CI, 1.0-1.3). Compared with participants without ILA, there was a higher percentage of activated monocytes among those with ILA in MESA. Higher monocyte count was associated with greater high-attenuation areas in MESA and lower FVC in MESA and COPDGene. Associations of other immune cell types were less consistent. Conclusions: Higher blood monocyte counts were associated with the presence and progression of interstitial lung abnormalities and lower FVC.
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Affiliation(s)
- John S Kim
- Department of Medicine, and.,Department of Medicine, Columbia University, New York, New York
| | - Gísli Thor Axelsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Icelandic Heart Association, Kopavogur, Iceland
| | - Matthew Moll
- Division of Pulmonary and Critical Care and.,Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | | | | | | | - Tomoyuki Hida
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Eric A Hoffman
- Department of Radiology.,Department of Medicine, and.,Department of Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Ganesh Raghu
- Department of Medicine, University of Washington, Seattle, Washington
| | - Steven M Kawut
- Department of Medicine and.,Department of Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Margaret F Doyle
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Colchester, Vermont
| | - Russell Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Colchester, Vermont
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute of on Aging, National Institutes of Health, Bethesda, Maryland
| | - Ani Manichaikul
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Stephen S Rich
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia
| | | | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Icelandic Heart Association, Kopavogur, Iceland
| | - Brian D Hobbs
- Division of Pulmonary and Critical Care and.,Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Michael H Cho
- Division of Pulmonary and Critical Care and.,Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | | | | | - Gunnar Gudmundsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Department of Respiratory Medicine and Sleep, Landspitali University Hospital, Reykjavik, Iceland
| | - R Graham Barr
- Department of Medicine, Columbia University, New York, New York.,Department of Epidemiology, Mailman School of Public Health, New York, New York; and
| | - Anna J Podolanczuk
- Department of Medicine, Columbia University, New York, New York.,Division of Pulmonary and Critical Care Medicine, Weill Cornell Medical Center, New York, New York
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30
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The End of Race Correction in Spirometry for Pulmonary Function Testing and Surgical Implications. Ann Surg 2022; 276:e3-e5. [DOI: 10.1097/sla.0000000000005431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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31
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Min J, Putt ME, Yang W, Bertoni A, Ding J, Lima JA, Allison MA, Barr RG, Al-Naamani N, Patel RB, Beussink-Nelson L, Kawut S, Shah SJ, Freed BH. Association of Pericardial Fat with Cardiac Structure, Function and Mechanics: the Multi-Ethnic Study of Atherosclerosis. J Am Soc Echocardiogr 2022; 35:579-587.e5. [DOI: 10.1016/j.echo.2022.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/18/2021] [Accepted: 01/06/2022] [Indexed: 11/24/2022]
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Elmaleh-Sachs A, Balte P, Oelsner EC, Allen NB, Baugh AD, Bertoni AG, Hankinson JL, Pankow J, Post WS, Schwartz JE, Smith BM, Watson K, Barr RG. Race/Ethnicity, Spirometry Reference Equations and Prediction of Incident Clinical Events: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. Am J Respir Crit Care Med 2021; 205:700-710. [PMID: 34913853 DOI: 10.1164/rccm.202107-1612oc] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Normal values for forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) are currently calculated using cross-sectional reference equations that include terms for race/ethnicity, an approach that may reinforce disparities and is of unclear clinical benefit. OBJECTIVES To determine whether race/ethnic-based spirometry reference equations improve the prediction of incident chronic lower respiratory disease (CLRD) events and mortality compared to race/ethnic-neutral equations. METHODS The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study, a population-based, prospective cohort study of White, Black, Hispanic, and Asian adults, performed standardized spirometry in 2004-06. Predicted values for spirometry were calculated using race/ethnic-based equations following guidelines and, alternatively, race/ethnic-neutral equations without terms for race/ethnicity. Participants were followed for events through 2019. MEASUREMENTS AND MAIN RESULTS The mean age of 3,344 participants was 65 years and self-reported race/ethnicity was 36% White, 25% Black, 23% Hispanic, and 17% Asian. There were 181 incident CLRD-related events and 547 deaths over a median of 11.6 years. There was no evidence that percent-predicted FEV1 or FVC calculated by race/ethnic-based equations improved the prediction of CLRD-related events compared to that calculated by race/ethnic-neutral equations (difference in C-statistics -0.005, 95% CI -0.013, 0.003, and -0.008, 95% CI -0.016, -0.0006, respectively). Findings were similar for mortality (difference in C-statistics -0.002, 95% CI -0.008, 0.003, and -0.004, 95% CI -0.009, 0.001, respectively). CONCLUSIONS There was no evidence that race/ethnic-based spirometry reference equations improved the prediction of clinical events compared to race/ethnic-neutral equations. The inclusion of race/ethnicity in spirometry reference equations should be reconsidered.
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Affiliation(s)
- Arielle Elmaleh-Sachs
- Columbia University Irving Medical Center, 21611, General Medicine, New York, New York, United States
| | - Pallavi Balte
- Columbia University, Medicine, New York, New York, United States
| | | | | | - Aaron D Baugh
- UCSF, Division of Pulmonary and Critical Care Medicine, Department of Medicine and CVRI, San Francisco, California, United States
| | - Alain G Bertoni
- Wake Forest University, Department of Epidemiology and Prevention, Winston-Salem, North Carolina, United States
| | | | - Jim Pankow
- University of Minnesota School of Public Health, 43353, Minneapolis, Minnesota, United States
| | - Wendy S Post
- Johns Hopkins University, Medicine, Baltimore, Maryland, United States
| | - Joseph E Schwartz
- Columbia University Medical Center, Department of Medicine, New York, New York, United States
| | - Benjamin M Smith
- Columbia University Medical Center, Medicine, New York, New York, United States
| | - Karol Watson
- University of California at Los Angeles, Medicine, Los Angeles, California, United States
| | - R Graham Barr
- Columbia University, Epidemiology, New York, New York, United States;
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33
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Kim JS, Anderson MR, Bernstein EJ, Oelsner EC, Raghu G, Noth I, Tsai MY, Salvatore M, Austin JHM, Hoffman EA, Barr RG, Podolanczuk AJ. Associations of D-Dimer with Computed Tomographic Lung Abnormalities, Serum Biomarkers of Lung Injury, and Forced Vital Capacity: MESA Lung Study. Ann Am Thorac Soc 2021; 18:1839-1848. [PMID: 33861685 PMCID: PMC8641831 DOI: 10.1513/annalsats.202012-1557oc] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 04/08/2021] [Indexed: 12/30/2022] Open
Abstract
Rationale: The coagulation cascade may play a role in the pathogenesis of interstitial lung disease through increased production of thrombin and fibrin deposition. Whether circulating coagulation cascade factors are linked to lung inflammation and scarring among community-dwelling adults is unknown. Objectives: To test the hypothesis that higher baseline D-dimer concentrations are associated with markers of early lung injury and scarring. Methods: Using the MESA (Multi-Ethnic Study of Atherosclerosis) cohort (n = 6,814), we examined associations of baseline D-dimer concentrations with high attenuation areas from examination 1 (2000-2002; n = 6,184) and interstitial lung abnormalities from examination 5 computed tomographic (CT) scans (2010-2012; n = 2,227), and serum MMP-7 (matrix metalloproteinase-7) and SP-A (surfactant protein-A) from examination 1 (n = 1,098). We examined longitudinal change in forced vital capacity (FVC) from examinations 3-6 (2004-2018, n = 3,562). We used linear logistic regression and linear mixed models to examine associations and adjust for potential confounders. Results: The mean (standard deviation) age of the cohort was 62 (10) years, and the D-dimer concentration was 0.35 (0.69) ug/ml. For every 10% increase in D-dimer concentration, there was an increase in high attenuation area percentage of 0.27 (95% confidence interval (CI), 0.08-0.47) after adjustment for covariates. Associations were stronger among those older than 65 years (P values for interaction < 0.001). A 10% increase in D-dimer concentration was associated with an odds ratio of 1.05 for interstitial lung abnormalities (95% CI, 0.99-1.11). Higher D-dimer concentrations were associated with higher serum MMP-7 and a faster decline in FVC. D-dimer was not associated with SP-A. Conclusions: Higher D-dimer concentrations were associated with a greater burden of lung parenchymal abnormalities detected on CT scan, MMP-7, and FVC decline among community-dwelling adults.
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Affiliation(s)
- John S. Kim
- Department of Medicine, University of Virginia, Charlottesville, Virginia
- Department of Medicine
| | | | | | | | - Ganesh Raghu
- Department of Medicine, University of Washington, Seattle, Washington
| | - Imre Noth
- Department of Medicine, University of Virginia, Charlottesville, Virginia
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | | | | | - Eric A. Hoffman
- Departments of Radiology, Medicine, and Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, Iowa; and
| | - R. Graham Barr
- Department of Medicine
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York
| | - Anna J. Podolanczuk
- Department of Medicine
- Department of Medicine, Weill Cornell Medical Center, New York, New York
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34
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Abstract
RATIONALE The effect of insulin resistance on left ventricular function is well documented, however less is known regarding its effect on the right ventricle (RV). OBJECTIVES To evaluate the association between insulin resistance and RV function by echocardiography in a cohort of adults without baseline cardiovascular disease. METHODS We performed a retrospective cohort study in the Multi-Ethnic Study of Atherosclerosis (MESA). Linear regression was used to examine the association between overall insulin resistance measured by the mean triglyceride to HDL cholesterol ratio (TG:HDL), and change in TG:HDL over time for each participant with echocardiographic RV function. Logistic regression was used to calculate the odds ratios of RV systolic and diastolic dysfunction. RESULTS Among 3,032 participants, higher mean TG:HDL was associated with lower (worse) absolute RV longitudinal strain (β -0.38; 95%CI -0.64, -0.13; p<0.01), tricuspid annular plane systolic excursion (TAPSE; β -0.05; 95%CI -0.07, -0.04; p<0.001) and higher odds of abnormal RV strain (OR 1.26; 95%CI 1.08, 1.47; p<0.01) and abnormal TAPSE (OR 1.31; 95%CI 1.14, 1.51; p<0.001). TG:HDL was also associated with lower tricuspid E/A ratio (β -0.03; 95%CI -0.04, -0.01; p<0.01), higher E/e' ratio (β 0.15; 95%CI 0.07, 0.23; p<0.001), and higher odds of graded RV diastolic dysfunction (OR 1.19; 95%CI 1.03, 1.39; p<0.05). These associations remained following multivariable adjustment. CONCLUSIONS Insulin resistance was associated with decreased RV systolic and diastolic function after adjusting for alternative causes of RV dysfunction, suggesting that insulin resistant individuals are at risk for early RV dysfunction, even in the absence of cardiovascular disease.
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35
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Brigham EP, Anderson JA, Brook RD, Calverley PMA, Celli BR, Cowans NJ, Crim C, Diserens JE, Martinez FJ, McCormack MC, Newby DE, Yates J, Vestbo J, Wu TD, Wise RA. Challenging the obesity paradox: extreme obesity and COPD mortality in the SUMMIT trial. ERJ Open Res 2021; 7:00902-2020. [PMID: 34322545 PMCID: PMC8311131 DOI: 10.1183/23120541.00902-2020] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 05/01/2021] [Indexed: 01/06/2023] Open
Abstract
Populations with COPD demonstrate higher survival in overweight and obese compared with normal weight; the “obesity paradox”. Relationships in less-severe COPD are unclear, as is the impact of cardiovascular risk, and few studies include individuals at extremes of obesity. We examined the relationship between body mass index (BMI; defined as underweight: <20 kg·m−2, normal: 20–25 kg·m−2, overweight: 25– <30 kg·m−2, obese class I: 30– <35 kg·m−2, class II: 35– <40 kg·m−2 and class III: ≥40 kg·m−2), morbidity, and mortality in the SUMMIT trial population (n=16 485), characterised by moderate COPD and heightened cardiovascular risk with a substantial proportion with class III obesity. The association between BMI category and time to event was modelled via proportional hazards (reference normal weight) adjusted for demographics and cardiorespiratory disease. Consistent with the paradox, underweight individuals demonstrated higher mortality (hazard ratio (HR) 1.31 (95% CI 1.04–1.64)), with lower mortality among overweight (HR 0.62 (95% CI 0.52–0.73)) and obese class I (HR 0.75 (95% CI 0.62–0.90)). However, mortality increased in obese class III (HR 1.36 (95% CI 1.00–1.86)). Death was primarily attributable to cardiovascular causes. Within a large, multinational cohort with moderate COPD and increased cardiovascular risk, the phenomenon of reduced mortality with obesity did not persist at BMI >40 kg·m−2, suggesting that obesity may not remain protective at the extremes in this population. In a population with moderate COPD, at heightened cardiovascular risk and containing a substantial proportion of individuals with BMI ≥40 kg/m2, BMI and mortality demonstrate a U-shaped (rather than J-shaped) relationshiphttps://bit.ly/3hDztI6
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Affiliation(s)
- Emily P Brigham
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Medicine, Baltimore, MD, USA
| | | | - Robert D Brook
- Division of Cardiovascular Diseases, Wayne State University, Detroit, MI, USA
| | - Peter M A Calverley
- Dept of Medicine, Clinical Sciences Centre, University of Liverpool, University Hospital Aintree, Liverpool, UK
| | - Bartolome R Celli
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Courtney Crim
- Research and Development, GlaxoSmithKline, Research Triangle Park, NC, USA
| | | | - Fernando J Martinez
- Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Meredith C McCormack
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Medicine, Baltimore, MD, USA
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Julie Yates
- Research and Development, GlaxoSmithKline, Research Triangle Park, NC, USA
| | - Jorgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine, Manchester Academic Health Sciences Centre, The University of Manchester and Manchester University NHS Foundation Trust, Manchester, UK
| | - Tianshi David Wu
- Section of Pulmonary, Critical Care, and Sleep Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Robert A Wise
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Medicine, Baltimore, MD, USA
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36
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Moll M, Jackson VE, Yu B, Grove ML, London SJ, Gharib SA, Bartz TM, Sitlani CM, Dupuis J, O'Connor GT, Xu H, Cassano PA, Patchen BK, Kim WJ, Park J, Kim KH, Han B, Barr RG, Manichaikul A, Nguyen JN, Rich SS, Lahousse L, Terzikhan N, Brusselle G, Sakornsakolpat P, Liu J, Benway CJ, Hall IP, Tobin MD, Wain LV, Silverman EK, Cho MH, Hobbs BD. A systematic analysis of protein-altering exonic variants in chronic obstructive pulmonary disease. Am J Physiol Lung Cell Mol Physiol 2021; 321:L130-L143. [PMID: 33909500 PMCID: PMC8321852 DOI: 10.1152/ajplung.00009.2021] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/15/2021] [Accepted: 04/27/2021] [Indexed: 12/14/2022] Open
Abstract
Genome-wide association studies (GWASs) have identified regions associated with chronic obstructive pulmonary disease (COPD). GWASs of other diseases have shown an approximately 10-fold overrepresentation of nonsynonymous variants, despite limited exonic coverage on genotyping arrays. We hypothesized that a large-scale analysis of coding variants could discover novel genetic associations with COPD, including rare variants with large effect sizes. We performed a meta-analysis of exome arrays from 218,399 controls and 33,851 moderate-to-severe COPD cases. All exome-wide significant associations were present in regions previously identified by GWAS. We did not identify any novel rare coding variants with large effect sizes. Within GWAS regions on chromosomes 5q, 6p, and 15q, four coding variants were conditionally significant (P < 0.00015) when adjusting for lead GWAS single-nucleotide polymorphisms A common gasdermin B (GSDMB) splice variant (rs11078928) previously associated with a decreased risk for asthma was nominally associated with a decreased risk for COPD [minor allele frequency (MAF) = 0.46, P = 1.8e-4]. Two stop variants in coiled-coil α-helical rod protein 1 (CCHCR1), a gene involved in regulating cell proliferation, were associated with COPD (both P < 0.0001). The SERPINA1 Z allele was associated with a random-effects odds ratio of 1.43 for COPD (95% confidence interval = 1.17-1.74), though with marked heterogeneity across studies. Overall, COPD-associated exonic variants were identified in genes involved in DNA methylation, cell-matrix interactions, cell proliferation, and cell death. In conclusion, we performed the largest exome array meta-analysis of COPD to date and identified potential functional coding variants. Future studies are needed to identify rarer variants and further define the role of coding variants in COPD pathogenesis.
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Affiliation(s)
- Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Victoria E Jackson
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Bing Yu
- School of Public Health, University of Texas Health Science Center, Houston, Texas
| | - Megan L Grove
- School of Public Health, University of Texas Health Science Center, Houston, Texas
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services Research, Research Triangle Park, Durham, North Carolina
| | - Sina A Gharib
- Center for Lung Biology, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Washington, Seattle, Washington
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, Washington
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - George T O'Connor
- Division of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Pulmonary Center, Boston University School of Medicine, Boston Medical Center, Boston, Massachusetts
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
- Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | | | - Woo Jin Kim
- Department of Internal Medicine, Kangwon National University, Chuncheon, South Korea
| | - Jinkyeong Park
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang-Si, Gyeonggi-do, South Korea
| | - Kun Hee Kim
- Department of Convergence Medicine and Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Buhm Han
- Department of Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Jennifer N Nguyen
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Lies Lahousse
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Bioanalysis, Ghent University, Ghent, Belgium
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Guy Brusselle
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Phuwanat Sakornsakolpat
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Jiangyuan Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Christopher J Benway
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Ian P Hall
- NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Brian D Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
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Abstract
: Spirometry in the occupational health setting plays a critical role in the primary, secondary, and tertiary prevention of workplace-related lung disease. Recognizing the central role of spirometry in workplace respiratory programs, the American College of Occupational and Environmental Medicine (ACOEM) developed three spirometry position statements in the past two decades, which summarized advances of particular relevance to occupational health practice. However, since these statements were published, there have been important developments in federal regulations and in official American Thoracic Society recommendations which affect occupational spirometry testing. This 2020 ACOEM guidance statement incorporates these spirometry testing changes into its recommendations to provide current information for all users of spirometry test results, from those who perform or supervise testing to those who only interpret or review results.
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38
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Fujikura K, Albini A, Barr RG, Parikh M, Kern J, Hoffman E, Hiura GT, Bluemke DA, Carr J, Lima JAC, Michos ED, Gomes AS, Prince MR. Aortic enlargement in chronic obstructive pulmonary disease (COPD) and emphysema: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD study. Int J Cardiol 2021; 331:214-220. [PMID: 33587941 PMCID: PMC8026709 DOI: 10.1016/j.ijcard.2021.02.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 12/25/2020] [Accepted: 02/05/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND The prevalence of abdominal aortic aneurysm is high in chronic obstructive pulmonary disease (COPD) population. Emphysema involves proteolytic destruction of elastic fibers. Therefore, emphysema may also contribute to thoracic aorta dilatation. This study assessed aorta dilation in smokers stratified by presence of COPD, emphysema and airway thickening. METHODS Aorta diameters were measured on 3D magnetic resonance angiography in smokers recruited from the Multi-Ethnic Study of Atherosclerosis (MESA), the Emphysema and Cancer Action Project (EMCAP), and the local community. COPD was defined by standard spirometric criteria; emphysema was measured quantitatively on computed tomography and bronchitis was determined from medical history. RESULTS Participants (n = 315, age 58-79) included 150 with COPD and 165 without COPD, of whom 56% and 19%, respectively, had emphysema. Subjects in the most severe quartile of emphysematous change showed the largest diameter at all four aorta locations compared to those in the least severe quartiles (all p < 0.001). Comparing subjects with and without COPD, aorta diameters were larger in participants with severe COPD in ascending and arch (both p < 0.001), and abdominal aorta (p = 0.001). Chronic bronchitis and bronchial wall thickness did not correlate with aorta diameter. In subjects with emphysema, subjects with coexistence of COPD showed larger aorta than those without COPD in ascending (p = 0.003), arch (p = 0.002), and abdominal aorta (p = 0.04). CONCLUSIONS This study showed larger aorta diameter in subjects with COPD and severe emphysema compared to COPD related to chronic bronchitis or bronchial wall thickening.
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Affiliation(s)
- Kana Fujikura
- Advanced Cardiovascular Imaging Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, ML, USA
| | | | - R Graham Barr
- Department of Medicine, Columbia University, New York, USA
| | - Megha Parikh
- Department of Medicine, Columbia University, New York, USA
| | - Julia Kern
- Department of Medicine, Columbia University, New York, USA
| | - Eric Hoffman
- Department of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, USA
| | - Grant T Hiura
- Department of Medicine, Columbia University, New York, USA
| | - David A Bluemke
- Department of Radiology, University of Wisconsin, Madison, USA
| | - James Carr
- Department of Radiology, Northwestern University, Chicago, USA
| | - João A C Lima
- Division of Cardiology, Johns Hopkins University, Baltimore, USA
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University, Baltimore, USA
| | - Antoinette S Gomes
- Department of Radiology, University of California-Los Angeles, School of Medicine, Los Angeles, USA
| | - Martin R Prince
- Department of Radiology, Weill Cornell Medicine, NY, New York, USA.
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39
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Berger KI, Wohlleber M, Goldring RM, Reibman J, Farfel MR, Friedman SM, Oppenheimer BW, Stellman SD, Cone JE, Shao Y. Respiratory impedance measured using impulse oscillometry in a healthy urban population. ERJ Open Res 2021; 7:00560-2020. [PMID: 33816605 PMCID: PMC8005688 DOI: 10.1183/23120541.00560-2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/02/2020] [Indexed: 11/12/2022] Open
Abstract
This study derives normative prediction equations for respiratory impedance in a healthy asymptomatic urban population using an impulse oscillation system (IOS). In addition, this study uses body mass index (BMI) in the equations to describe the effect of obesity on respiratory impedance. Data from an urban population comprising 472 healthy asymptomatic subjects that resided or worked in lower Manhattan, New York City were retrospectively analysed. This population was the control group from a previously completed case–control study of the health effects of exposure to World Trade Center dust. Since all subjects underwent spirometry and oscillometry, these previously collected data allowed a unique opportunity to derive normative prediction equations for oscillometry in an urban, lifetime non-smoking, asymptomatic population without underlying respiratory disease. Normative prediction equations for men and women were successfully developed for a broad range of respiratory oscillometry variables with narrow confidence bands. Models that used BMI as an independent predictor of oscillometry variables (in addition to age and height) demonstrated equivalent or better fit when compared with models that used weight. With increasing BMI, resistance and reactance increased compatible with lung and airway compression from mass loading. This study represents the largest cohort of healthy urban subjects assessed with an IOS device. Normative prediction equations were derived that should facilitate application of IOS in the clinical setting. In addition, the data suggest that modelling of lung function may be best performed using height and BMI as independent variables rather than the traditional approach of using height and weight. Prediction equations for respiratory impedance were derived in an urban cohort incorporating the effects of mass loading from obesity. Urban exposures had minimal effect on impedance allowing application of the equations to a broad range of populations.https://bit.ly/3a3zZvd
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Affiliation(s)
- Kenneth I Berger
- Dept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.,André Cournand Pulmonary Physiology Laboratory, Bellevue Hospital, New York, NY, USA
| | - Margaret Wohlleber
- Dept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.,André Cournand Pulmonary Physiology Laboratory, Bellevue Hospital, New York, NY, USA
| | - Roberta M Goldring
- Dept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.,André Cournand Pulmonary Physiology Laboratory, Bellevue Hospital, New York, NY, USA
| | - Joan Reibman
- Dept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.,Dept of Environmental Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Mark R Farfel
- World Trade Center Health Registry, New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Stephen M Friedman
- World Trade Center Health Registry, New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Beno W Oppenheimer
- Dept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.,André Cournand Pulmonary Physiology Laboratory, Bellevue Hospital, New York, NY, USA
| | - Steven D Stellman
- World Trade Center Health Registry, New York City Department of Health and Mental Hygiene, New York, NY, USA.,Mailman School of Public Health, Columbia University, New York, NY, USA
| | - James E Cone
- World Trade Center Health Registry, New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Yongzhao Shao
- Dept of Population Health, NYU Grossman School of Medicine, New York, NY, USA
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40
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Siddharthan T, Pollard SL, Jackson P, Robertson NM, Wosu AC, Rahman N, Padalkar R, Sekitoleko I, Namazzi E, Alupo P, Hurst JR, Kalyesubula R, Dowdy D, Wise R, Barnes PJ, Checkley W, Kirenga B. Effectiveness of low-dose theophylline for the management of biomass-associated COPD (LODOT-BCOPD): study protocol for a randomized controlled trial. Trials 2021; 22:213. [PMID: 33726828 PMCID: PMC7962083 DOI: 10.1186/s13063-021-05163-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 02/28/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND COPD is a leading cause of death globally, with the majority of morbidity and mortality occurring in low- and middle-income country (LMIC) settings. While tobacco-smoke exposure is the most important risk factor for COPD in high-income settings, household air pollution from biomass smoke combustion is a leading risk factor for COPD in LMICs. Despite the high burden of biomass smoke-related COPD, few studies have evaluated the efficacy of pharmacotherapy in this context. Currently recommended inhaler-based therapy for COPD is neither available nor affordable in most resource-limited settings. Low-dose theophylline is an oral, once-a-day therapy, long used in high-income countries (HICs), which has been proposed for the management of COPD in LMICs in the absence of inhaled steroids and/or bronchodilators. The Low-dose Theophylline for the Management of Biomass-Associated COPD (LODOT-BCOPD) trial investigates the clinical efficacy and cost-effectiveness of low-dose theophylline for the management of biomass-related COPD in a low-income setting. METHODS LODOT-BCOPD is a randomized, double-blind, placebo-controlled trial to test the efficacy of low-dose theophylline in improving respiratory symptoms in 110 participants with moderate to severe COPD in Central Uganda. The inclusion criteria are as follows: (1) age 40 to 80 years, (2) full-time resident of the study area, (3) daily biomass exposure, (4) post-bronchodilator FEV1/FVC below the 5th percentile of the Global Lung Initiative mixed ethnic reference population, and (5) GOLD Grade B-D COPD. Participants will be randomly assigned to receive once daily low-dose theophylline (200 mg ER, Unicontin-E) or placebo for 52 weeks. All participants will receive education about self-management of COPD and rescue salbutamol inhalers. We will measure health status using the St. George's Respiratory Questionnaire (SGRQ) and quality of life using the EuroQol-5D (EQ-5D) at baseline and every 6 months. In addition, we will assess household air pollution levels, serum inflammatory biomarkers (fibrinogen, hs-CRP), and theophylline levels at baseline, 1 month, and 6 months. The primary outcome is change in SGRQ score at 12 months. Lastly, we will assess the cost-effectiveness of the intervention by calculating quality-adjusted life years (QALYs) from the EQ-5D. TRIAL REGISTRATION ClinicalTrials.gov NCT03984188 . Registered on June 12, 2019 TRIAL ACRONYM: Low-dose Theophylline for the Management of Biomass-Associated COPD (LODOT-BCOPD).
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Affiliation(s)
- Trishul Siddharthan
- Division of Pulmonary and Critical Care, University of Miami, School of Medicine, Johns Hopkins University, 1951 NW 7th Ave, Suite 2308, Miami, FL, 33136, USA. .,Center for Global Non-Communicable Diseases, Johns Hopkins University, Baltimore, USA.
| | - Suzanne L Pollard
- Division of Pulmonary and Critical Care, University of Miami, School of Medicine, Johns Hopkins University, 1951 NW 7th Ave, Suite 2308, Miami, FL, 33136, USA.,Center for Global Non-Communicable Diseases, Johns Hopkins University, Baltimore, USA
| | - Peter Jackson
- Division of Pulmonary and Critical Care, Virginia Commonwealth University, Richmond, USA
| | - Nicole M Robertson
- Division of Pulmonary and Critical Care, University of Miami, School of Medicine, Johns Hopkins University, 1951 NW 7th Ave, Suite 2308, Miami, FL, 33136, USA.,Center for Global Non-Communicable Diseases, Johns Hopkins University, Baltimore, USA
| | - Adaeze C Wosu
- Center for Global Non-Communicable Diseases, Johns Hopkins University, Baltimore, USA.,Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Nihaal Rahman
- Division of Pulmonary and Critical Care, University of Miami, School of Medicine, Johns Hopkins University, 1951 NW 7th Ave, Suite 2308, Miami, FL, 33136, USA.,Center for Global Non-Communicable Diseases, Johns Hopkins University, Baltimore, USA
| | - Roma Padalkar
- Division of Pulmonary and Critical Care, University of Miami, School of Medicine, Johns Hopkins University, 1951 NW 7th Ave, Suite 2308, Miami, FL, 33136, USA.,Center for Global Non-Communicable Diseases, Johns Hopkins University, Baltimore, USA
| | - Isaac Sekitoleko
- Makerere University Lung Institute, Makerere College of Health Sciences, Kampala, Uganda
| | - Esther Namazzi
- Makerere University Lung Institute, Makerere College of Health Sciences, Kampala, Uganda
| | - Patricia Alupo
- Makerere University Lung Institute, Makerere College of Health Sciences, Kampala, Uganda
| | - John R Hurst
- UCL Respiratory, University College London, London, UK
| | - Robert Kalyesubula
- Department of Physiology, Makerere College of Health Sciences, Kampala, Uganda.,African Community Center for Social Sustainability, Nakaseke, Uganda
| | - David Dowdy
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Robert Wise
- Division of Pulmonary and Critical Care, University of Miami, School of Medicine, Johns Hopkins University, 1951 NW 7th Ave, Suite 2308, Miami, FL, 33136, USA.,Center for Global Non-Communicable Diseases, Johns Hopkins University, Baltimore, USA
| | - Peter J Barnes
- National Health and Lung Institute, Imperial College, London, UK
| | - William Checkley
- Division of Pulmonary and Critical Care, University of Miami, School of Medicine, Johns Hopkins University, 1951 NW 7th Ave, Suite 2308, Miami, FL, 33136, USA.,Center for Global Non-Communicable Diseases, Johns Hopkins University, Baltimore, USA
| | - Bruce Kirenga
- Makerere University Lung Institute, Makerere College of Health Sciences, Kampala, Uganda
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41
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Kim JS, Thomashow MA, Yip NH, Burkart KM, Lo Cascio CM, Shimbo D, Barr RG. Randomization to Omega-3 Fatty Acid Supplementation and Endothelial Function in COPD: The COD-Fish Randomized Controlled Trial. CHRONIC OBSTRUCTIVE PULMONARY DISEASES-JOURNAL OF THE COPD FOUNDATION 2021; 8. [PMID: 33150779 DOI: 10.15326/jcopdf.8.1.2020.0132] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Rationale Studies suggest a pathogenic role of endothelial dysfunction in chronic obstructive lung disease (COPD). Omega-3 (n-3) polyunsaturated fatty acid (PUFA) supplementation improves endothelial function in other diseases but has not been examined in COPD. Objective We hypothesized that n-3 PUFA supplementation would improve systemic endothelial function in COPD. We performed a pilot randomized, placebo-controlled, double-blind, phase 2 superiority trial (NCT00835289). Methods Adults with moderate and severe stable COPD (79% with emphysema on computed tomography [CT]) were randomized to high-dose fish oil capsules or placebo daily for 6 months. The primary endpoint was percentage change in brachial artery flow-mediated dilation (FMD) from baseline to 6 months. Secondary endpoints included peripheral arterial tonometry, endothelial microparticles (EMPs), 6-minute walk distance, respiratory symptoms, and pulmonary function. Results Thirty-three of 40 randomized participants completed all measurements. Change in FMD after 6 months did not differ between the fish oil and placebo arms (-1.1%, 95% CI -5.0-2.9, p=0.59). CD31+ EMPs increased in the fish oil arm (0.9%, 95% CI 0.1-1.7, p=0.04). More participants in the fish oil arm reported at least a 4-point improvement in the St George's Respiratory Questionnaire (SGRQ) compared to placebo (8 versus 1; p=0.01). There were no significant changes in other secondary endpoints. There were 4 serious adverse events determined to be unrelated to the study (3 in the fish oil arm and 1 in the placebo arm). Conclusion Randomization to n-3 PUFAs for 6 months did not change systemic endothelial function in COPD. Changes in EMPs and SGRQ suggest n-3 PUFAs might have biologic and clinical effects that warrant further investigation.
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Affiliation(s)
- John S Kim
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States.,Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Michael A Thomashow
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States.,Kaiser Permanante San Francisco Medical Center, San Francisco, California, United States
| | - Natalie H Yip
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States
| | - Kristin M Burkart
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States
| | - Christian M Lo Cascio
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States
| | - Daichi Shimbo
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States
| | - R Graham Barr
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States.,Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, United States
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42
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Lee JH, Park YH, Kang DR, Lee SJ, Lee MK, Kim SH, Yong SJ, Lee WY. Risk of Pneumonia Associated with Inhaled Corticosteroid in Patients with Chronic Obstructive Pulmonary Disease: A Korean Population-Based Study. Int J Chron Obstruct Pulmon Dis 2020; 15:3397-3406. [PMID: 33402820 PMCID: PMC7778438 DOI: 10.2147/copd.s286149] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 12/11/2020] [Indexed: 12/20/2022] Open
Abstract
Introduction Inhaled corticosteroids (ICSs) are recommended for patients with frequent exacerbation of chronic obstructive pulmonary disease (COPD). However, accumulating evidence has indicated the risk of pneumonia from the use of ICS. This study aimed to investigate the association between ICS and pneumonia in the real-world clinical setting. Methods A retrospective cohort study was performed using nationwide population data from the Korea National Health Insurance Service. Subjects who had a new diagnosis of COPD and who received inhaled bronchodilators without a diagnosis of pneumonia before the initiation of bronchodilators were identified. Subjects were followed up until their first diagnosis of pneumonia. The risk of pneumonia in ICS users was compared to that in non-ICS users. Results A total of 87,594 subjects were identified and 1:1 matched to 22,161 ICS users and non-ICS users. More ICS users were diagnosed with pneumonia compared to non-ICS users (33.73% versus 24.51%, P<0.0001). The incidence rate per 100,000 person-years was 8904.98 for ICS users and 6206.79 for non-ICS users. The hazard ratio (HR) of pneumonia for ICS users was 1.62 (95% CI 1.54–1.70). The HR of subjects prescribed with the lowest ICS cumulative dose was 1.35 (1.27–1.43). The HR increased to 1.51 (1.42–1.60), 1.96 (1.85–2.09), and 2.03 (1.89–2.18) as the cumulative dose increased. Pneumonia was strongly associated with fluticasone propionate (1.79 (1.70–1.89)) and fluticasone furoate (1.80 (1.61–2.01)) use, compared to the use of other types of ICS. Conclusion ICS increases the risk of pneumonia in patients with COPD. Hence, ICS should be carefully prescribed in patients with risk factors for pneumonia while considering the cumulative doses and subtypes of ICS.
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Affiliation(s)
- Ji-Ho Lee
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - You Hyun Park
- Department of Biostatistics, Yonsei University, Seoul, Korea
| | - Dae Ryong Kang
- Department of Precision Medicine & Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Seok Jeong Lee
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Myoung Kyu Lee
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Sang-Ha Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Suk Joong Yong
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Won-Yeon Lee
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
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43
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Mogensen I, Jacinto T, Alving K, Fonseca JA, Janson C, Malinovschi A. Inflammatory patterns in fixed airflow obstruction are dependent on the presence of asthma. PLoS One 2020; 15:e0243109. [PMID: 33270766 PMCID: PMC7714172 DOI: 10.1371/journal.pone.0243109] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 11/13/2020] [Indexed: 12/26/2022] Open
Abstract
RATIONALE Fixed airflow obstruction (FAO) can complicate asthma. Inflammation is a proposed underlying mechanism. OBJECTIVE Our aim in this cross-sectional investigation was to evaluate the blood leucocyte pattern and level of exhaled nitric oxide in asthmatics and non-asthmatics with or without FAO. METHODS A total of 11,579 individuals aged ≥20 years from the US National Health and Nutrition Examination Survey were included. They were grouped as: controls without asthma and FAO (n = 9,935), asthmatics without FAO (n = 674), asthmatics with FAO (n = 180) and non-asthmatics with FAO (n = 790). FAO was defined as post-bronchodilator FEV1/FVC < lower limit of normal. Exhaled nitric oxide ≥ 25ppb, blood eosinophil levels ≥300 cells/μL, and blood neutrophil levels ≥5100 cells/μL were defined as elevated. Stratified analyses for smoking and smoking history were performed. RESULTS Elevated blood eosinophil levels were more common in all groups compared to the controls, with the highest prevalence in the group with asthma and fixed airflow obstruction (p<0.01). In a multiple logistic regression model adjusted for potential confounders including smoking, the asthma groups had significantly higher odds ratios for elevated B-Eos levels compared to the control group (odds ratio 1.4, (confidence interval: 1.1-1.7) for the asthma group without fixed airflow obstruction and 2.5 (1.4-4.2) for the asthma group with fixed airflow obstruction). The group with fixed airflow obstruction without asthma had higher odds ratio for elevated blood neutrophil levels compared to the controls: 1.4 (1.1-1.8). Smoking and a history of smoking were associated to elevated B-Neu levels. CONCLUSION Fixed airflow obstruction in asthma was associated with elevated blood eosinophil levels, whereas fixed airflow obstruction without asthma was associated with elevated blood neutrophil levels.
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Affiliation(s)
- Ida Mogensen
- Dept. of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
- Dept. of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
- * E-mail:
| | - Tiago Jacinto
- CINTESIS, Faculdade de Medicina da Universidade do Porto & Instituto e Hospital CUF, Porto, Portugal
| | - Kjell Alving
- Pediatric Research, Dept. of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
| | - João A. Fonseca
- CINTESIS, Faculdade de Medicina da Universidade do Porto & Instituto e Hospital CUF, Porto, Portugal
| | - Christer Janson
- Dept. of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Andrei Malinovschi
- Dept. of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
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Siddharthan T, Wosu AC, Pollard SL, Hossen S, Alupo P, Shade T, Kalyesubula R, Quaderi S, Wise RA, Hurst JR, Kirenga B, Checkley W. A Novel Case-Finding Instrument for Chronic Obstructive Pulmonary Disease in Low- and Middle-Income Country Settings. Int J Chron Obstruct Pulmon Dis 2020; 15:2769-2777. [PMID: 33173289 PMCID: PMC7648534 DOI: 10.2147/copd.s268076] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/23/2020] [Indexed: 12/15/2022] Open
Abstract
Background Low- and middle-income countries (LMICs) account for >90% of deaths and illness episodes related to COPD; however, this condition is commonly underdiagnosed in these settings. Case-finding instruments for COPD may improve diagnosis and identify individuals that need treatment, but few have been validated in resource-limited settings. Methods We conducted a population-based cross-sectional study in Uganda to assess the diagnostic accuracy of a respiratory symptom, exposure and functional questionnaire in combination with peak expiratory flow for COPD diagnosis using post-bronchodilator FEV1/FVC z-score below the 5th percentile as the gold standard. We included locally relevant exposure questions and statistical learning techniques to identify the most important risk factors for COPD. We used 80% of the data to develop the case-finding instrument and validated it in the remaining 20%. We evaluated for calibration and discrimination using standard approaches. The final score, COLA (COPD in LMICs Assessment), included seven questions, age and pre-bronchodilator peak expiratory flow. Results We analyzed data from 1,173 participants (average age 47 years, 46.9% male, 4.5% with COPD) with acceptable and reproducible spirometry. The seven questions yielded a cross-validated area-under-the-curve [AUC] of 0.68 (95% CI 0.61-0.75) with higher scores conferring greater odds of COPD. The inclusion of peak expiratory flow and age improved prediction in a validation sample (AUC=0.83, 95% CI 0.78-0.88) with a positive predictive value of 50% and a negative predictive value of 96%. The final instrument (COLA) included seven questions, age and pre-bronchodilator peak expiratory flow. Conclusion COLA predicted COPD in urban and rural settings in Uganda has high calibration and discrimination, and could serve as a simple, low-cost screening tool in resource-limited settings.
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Affiliation(s)
- Trishul Siddharthan
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
| | - Adaeze C Wosu
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Suzanne L Pollard
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
| | - Shakir Hossen
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
| | - Patricia Alupo
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
- Makerere Lung Institute, Makerere University, Kampala, Uganda
| | - Timothy Shade
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
| | - Robert Kalyesubula
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | | | - Robert A Wise
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - John R Hurst
- UCL Respiratory, University College London, London, UK
| | - Bruce Kirenga
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
- Makerere Lung Institute, Makerere University, Kampala, Uganda
| | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
| | - On behalf of LiNK Cohort Study Investigators
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
- Makerere Lung Institute, Makerere University, Kampala, Uganda
- UCL Respiratory, University College London, London, UK
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Zhao X, Qiao D, Yang C, Kasela S, Kim W, Ma Y, Shrine N, Batini C, Sofer T, Taliun SAG, Sakornsakolpat P, Balte PP, Prokopenko D, Yu B, Lange LA, Dupuis J, Cade BE, Lee J, Gharib SA, Daya M, Laurie CA, Ruczinski I, Cupples LA, Loehr LR, Bartz TM, Morrison AC, Psaty BM, Vasan RS, Wilson JG, Taylor KD, Durda P, Johnson WC, Cornell E, Guo X, Liu Y, Tracy RP, Ardlie KG, Aguet F, VanDenBerg DJ, Papanicolaou GJ, Rotter JI, Barnes KC, Jain D, Nickerson DA, Muzny DM, Metcalf GA, Doddapaneni H, Dugan-Perez S, Gupta N, Gabriel S, Rich SS, O'Connor GT, Redline S, Reed RM, Laurie CC, Daviglus ML, Preudhomme LK, Burkart KM, Kaplan RC, Wain LV, Tobin MD, London SJ, Lappalainen T, Oelsner EC, Abecasis GR, Silverman EK, Barr RG, Cho MH, Manichaikul A. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. Nat Commun 2020; 11:5182. [PMID: 33057025 PMCID: PMC7598941 DOI: 10.1038/s41467-020-18334-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.
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Affiliation(s)
- Xutong Zhao
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Silva Kasela
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Yanlin Ma
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Chiara Batini
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sarah A Gagliano Taliun
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, TX, 77030, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Brian E Cade
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
| | - Laura R Loehr
- Department of Medicine, UNC School of Medicine, Chapel Hill, NC, 27599, USA
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Ramachandran S Vasan
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
- Department of Preventive Medicine and Epidemiology, Boston University School of Medicine and Public Health, Boston, MA, 02118, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Elaine Cornell
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, 27701, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | | | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - David J VanDenBerg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - George J Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Donna M Muzny
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ginger A Metcalf
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | | | - Shannon Dugan-Perez
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - George T O'Connor
- Boston University School Of Medicine, Pulmonary Center, Boston, MA, 02118, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Robert M Reed
- Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | | | - Kristin M Burkart
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, 10461, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Durham, NC, 27709, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Goncalo R Abecasis
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA.
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Kawamatsu S, Jin R, Araki S, Yoshioka H, Sato H, Sato Y, Hisaka A. Scores of Health-Related Quality of Life Questionnaire Worsen Consistently in Patients of COPD: Estimating Disease Progression over 30 Years by SReFT with Individual Data Collected in SUMMIT Trial. J Clin Med 2020; 9:jcm9082676. [PMID: 32824840 PMCID: PMC7464378 DOI: 10.3390/jcm9082676] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 08/11/2020] [Accepted: 08/14/2020] [Indexed: 01/04/2023] Open
Abstract
The aim of this study was to elucidate the lifelong disease progression of chronic obstructive pulmonary disease (COPD) with biomarker changes and identify their influencing factors, by utilizing a new analysis method, Statistical Restoration of Fragmented Time-course (SReFT). Individual patient data (n = 1025) participating in the Study to Understand Mortality and MorbidITy (SUMMIT, NCT01313676), which was collected within the observational period of 4 years, were analyzed. The SReFT analysis suggested that scores of St. George’s Respiratory Questionnaire and COPD assessment test, representative scores of the health-related quality of life (HRQOL) questionnaire, increased consistently for 30 years of disease progression, which was not detected by conventional analysis with a linear mixed effect model. It was estimated by the SReFT analysis that normalized forced expiratory volume in one second for age, sex, and body size (%FEV1) reduced for the initial 10 years from the onset of the disease but thereafter remained constant. The analysis of HRQOL scores and lung functions suggested that smoking cessation slowed COPD progression by approximately half and that exacerbation accelerated it considerably. In conclusion, this retrospective study utilizing SReFT elucidated the progression of COPD over 30 years and associated quantitative changes in the HRQOL scores and lung functions.
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Affiliation(s)
- Shinya Kawamatsu
- Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1, Inohana, Chuo-ku, Chiba 260-8675, Japan; (S.K.); (R.J.); (S.A.); (H.Y.); (H.S.)
- Clinical Operations, Japan Development, GlaxoSmithKline, Tokyo 107-0052, Japan
| | - Ryota Jin
- Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1, Inohana, Chuo-ku, Chiba 260-8675, Japan; (S.K.); (R.J.); (S.A.); (H.Y.); (H.S.)
| | - Shogo Araki
- Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1, Inohana, Chuo-ku, Chiba 260-8675, Japan; (S.K.); (R.J.); (S.A.); (H.Y.); (H.S.)
| | - Hideki Yoshioka
- Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1, Inohana, Chuo-ku, Chiba 260-8675, Japan; (S.K.); (R.J.); (S.A.); (H.Y.); (H.S.)
| | - Hiromi Sato
- Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1, Inohana, Chuo-ku, Chiba 260-8675, Japan; (S.K.); (R.J.); (S.A.); (H.Y.); (H.S.)
| | - Yasunori Sato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo 160-8582, Japan;
| | - Akihiro Hisaka
- Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1, Inohana, Chuo-ku, Chiba 260-8675, Japan; (S.K.); (R.J.); (S.A.); (H.Y.); (H.S.)
- Correspondence: ; Tel.: +81-43-226-2880
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Moll M, Sakornsakolpat P, Shrine N, Hobbs BD, DeMeo DL, John C, Guyatt AL, McGeachie MJ, Gharib SA, Obeidat M, Lahousse L, Wijnant SRA, Brusselle G, Meyers DA, Bleecker ER, Li X, Tal-Singer R, Manichaikul A, Rich SS, Won S, Kim WJ, Do AR, Washko GR, Barr RG, Psaty BM, Bartz TM, Hansel NN, Barnes K, Hokanson JE, Crapo JD, Lynch D, Bakke P, Gulsvik A, Hall IP, Wain L, Weiss ST, Silverman EK, Dudbridge F, Tobin MD, Cho MH. Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts. THE LANCET. RESPIRATORY MEDICINE 2020; 8:696-708. [PMID: 32649918 PMCID: PMC7429152 DOI: 10.1016/s2213-2600(20)30101-6] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 01/24/2020] [Accepted: 02/17/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes. METHODS We constructed a polygenic risk score using a genome-wide association study of lung function (FEV1 and FEV1/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV1/FVC <0·7 and FEV1 <80% of predicted). Associations were tested using logistic regression models, adjusting for age, sex, height, smoking pack-years, and principal components of genetic ancestry. We assessed predictive performance of models by area under the curve. In a subset of studies, we also studied quantitative and qualitative CT imaging phenotypes that reflect parenchymal and airway pathology, and patterns of reduced lung growth. FINDINGS The polygenic risk score was associated with COPD in European (odds ratio [OR] per SD 1·81 [95% CI 1·74-1·88] and non-European (1·42 [1·34-1·51]) populations. Compared with the first decile, the tenth decile of the polygenic risk score was associated with COPD, with an OR of 7·99 (6·56-9·72) in European ancestry and 4·83 (3·45-6·77) in non-European ancestry cohorts. The polygenic risk score was superior to previously described genetic risk scores and, when combined with clinical risk factors (ie, age, sex, and smoking pack-years), showed improved prediction for COPD compared with a model comprising clinical risk factors alone (AUC 0·80 [0·79-0·81] vs 0·76 [0·75-0·76]). The polygenic risk score was associated with CT imaging phenotypes, including wall area percent, quantitative and qualitative measures of emphysema, local histogram emphysema patterns, and destructive emphysema subtypes. The polygenic risk score was associated with a reduced lung growth pattern. INTERPRETATION A risk score comprised of genetic variants can identify a small subset of individuals at markedly increased risk for moderate-to-severe COPD, emphysema subtypes associated with cigarette smoking, and patterns of reduced lung growth. FUNDING US National Institutes of Health, Wellcome Trust.
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Affiliation(s)
- Matthew Moll
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Catherine John
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Anna L Guyatt
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Michael J McGeachie
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, Department of Medicine, University of Washington, Seattle, WA, USA; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ma'en Obeidat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Sara R A Wijnant
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Guy Brusselle
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Respiratory Medicine, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | | | | | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Ruth Tal-Singer
- GlaxoSmithKline Research and Development, Collegeville, PA, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA; Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA; Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Sungho Won
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea; Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, South Korea; Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Woo Jin Kim
- Department of Internal Medicine, Kangwon National University, Chuncheon, South Korea
| | - Ah Ra Do
- Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, South Korea
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - R Graham Barr
- Department of Medicine and Department of Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Nadia N Hansel
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Kathleen Barnes
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - James D Crapo
- Division of Pulmonary, Critical Care, and Sleep Medicine, National Jewish Health, Denver, CO, USA
| | - David Lynch
- Department of Radiology, National Jewish Health, Denver, CO, USA
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amund Gulsvik
- Division of Respiratory Medicine, Queen's Medical Centre, Nottingham, UK
| | - Ian P Hall
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Louise Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK; National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Frank Dudbridge
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK; National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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Shin B, Kim SH, Yong SJ, Lee WY, Park S, Lee SJ, Lee SJ, Lee MK. Early readmission and mortality in acute exacerbation of chronic obstructive pulmonary disease with community-acquired pneumonia. Chron Respir Dis 2020; 16:1479972318809480. [PMID: 30428701 PMCID: PMC6301835 DOI: 10.1177/1479972318809480] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are important causes of hospital admission and mortality. Pneumonia is a major contributor to hospitalization for AECOPD and has a close relationship with poor outcomes. We performed a prospective cohort study to evaluate the prognosis of AECOPD patients with or without community-acquired pneumonia (CAP) who hospitalized from January 2012 to December 2015. We investigated mortality and readmission rates within 6 months after the first admission between two groups and analyzed the difference of survival rate according to readmission duration (≤30 vs. >30 days) or intensive care unit (ICU) treatment. Total 308 AECOPD patients (134 with CAP and 174 without CAP) were enrolled. The mean age was 72.3 ± 9.5 years old, and 235 patients (76.3%) were male. The 180-day mortality was higher in AECOPD with CAP than without CAP (24.6% vs. 13.2%; hazard ratio (HR): 1.982; 95% CI: 1.164–3.375; p = 0.012). However, readmission rate showed no significant difference between two groups (51.5% vs. 46.6%; HR: 1.172; 95% CI: 0.850–1.616; p = 0.333). It showed a significantly lower survival rate in AECOPD with CAP rather than without CAP when were readmitted within 30 days (HR: 1.738; 95% CI:1.063–3.017; p = 0.031). According to ICU treatment, survival rate was not significantly different between two groups. Multivariate analysis revealed the readmission within 30 days (p < 0.001), serum hemoglobin concentration (p = 0.010), and albumin level (p = 0.049) were significantly associated with 180-day mortality of AECOPD with CAP. AECOPD with CAP showed lower survival rate than AECOPD without CAP during 6 months. Early readmission within 30 days was significantly associated with an increased risk of mortality.
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Affiliation(s)
- Beomsu Shin
- 1 Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea
| | - Sang-Ha Kim
- 1 Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea
| | - Suk Joong Yong
- 1 Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea
| | - Won-Yeon Lee
- 1 Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea
| | - Sunmin Park
- 1 Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea
| | - Sang Jun Lee
- 1 Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea
| | - Seok Jeong Lee
- 1 Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea
| | - Myoung Kyu Lee
- 1 Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea.,2 Department of Evidence Based Medicine, Wonju College of Medicine, Yonsei University, Gangwon, Korea
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Wang C, Yang T, Kang J, Chen R, Zhao L, He H, Assam PN, Su R, Bourne E, Ballal S, DeAngelis K, Dorinsky P. Efficacy and Safety of Budesonide/Glycopyrrolate/Formoterol Fumarate Metered Dose Inhaler in Chinese Patients with COPD: A Subgroup Analysis of KRONOS. Adv Ther 2020; 37:1591-1607. [PMID: 32152869 PMCID: PMC7140742 DOI: 10.1007/s12325-020-01266-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Indexed: 12/30/2022]
Abstract
INTRODUCTION This pre-specified subgroup analysis evaluated the efficacy and safety of budesonide/glycopyrrolate/formoterol fumarate metered dose inhaler (BGF MDI) triple therapy versus corresponding dual therapies in the China subgroup of the phase III, double-blind KRONOS study in patients with moderate to very severe chronic obstructive pulmonary disease (COPD). METHODS Patients were randomized 2:2:1:1 to BGF MDI 320/18/9.6 μg, glycopyrrolate/formoterol fumarate (GFF) MDI 18/9.6 μg, budesonide/formoterol fumarate (BFF) MDI 320/9.6 μg, or budesonide/formoterol fumarate dry powder inhaler (BUD/FORM DPI) 400/12 μg twice daily for 24 weeks. The primary endpoint was change from baseline in morning pre-dose trough forced expiratory volume in 1 s (FEV1) over weeks 12-24. Secondary endpoints included symptoms, health-related quality of life, and safety. Rate of moderate/severe COPD exacerbations was an additional efficacy endpoint. RESULTS In the China subgroup (n = 432; 22.7% of the KRONOS population), BGF MDI demonstrated nominally significant improvements in the primary endpoint versus BFF MDI (least squares mean (LSM) difference 68 mL; P = 0.0035) and BUD/FORM DPI (LSM difference 78 mL; P = 0.0010) but not GFF MDI (LSM difference - 4 mL; P = 0.8316). BGF MDI demonstrated at least numerical improvements versus comparators in secondary lung function and symptom endpoints. BGF MDI reduced the rate of moderate/severe COPD exacerbations versus GFF MDI (rate ratio 0.41; P = 0.0030), with numerical benefits versus BFF MDI and BUD/FORM DPI. All treatments were well tolerated. CONCLUSIONS Results demonstrated that BGF MDI showed benefits on lung function (vs inhaled corticosteroid/long-acting β2-agonist), as well as symptoms and exacerbations relative to dual therapies. Findings support BGF MDI use in Chinese patients with moderate to very severe COPD. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov NCT02497001.
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Affiliation(s)
- Chen Wang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2, East Yinghua Street, Chaoyang District, Beijing, 100029, China.
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.
- National Clinical Research Center for Respiratory Diseases, Beijing, China.
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Department of Respiratory Medicine, Capital Medical University, Beijing, China.
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2, East Yinghua Street, Chaoyang District, Beijing, 100029, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Department of Respiratory Medicine, Capital Medical University, Beijing, China
| | - Jian Kang
- The First Hospital of China Medical University, Shenyang, China
| | - Rongchang Chen
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Li Zhao
- Shengjing Hospital of China Medical University, Shenyang, China
| | - Huijie He
- The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | | | - Rong Su
- AstraZeneca, Shanghai, China
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50
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Fu Z, Jiang H, Xu Z, Li H, Wu N, Yin P. Objective secondhand smoke exposure in chronic obstructive pulmonary disease patients without active smoking: the U.S. National Health and Nutrition Examination Survey (NHANES) 2007-2012. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:445. [PMID: 32395489 PMCID: PMC7210150 DOI: 10.21037/atm.2020.03.145] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background Secondhand smoke (SHS) may be related to worse outcomes in chronic obstructive pulmonary disease (COPD), but the reported SHS prevalence in different studies varied from 27% to 65% and the effects of SHS are still questionable among these patients. The study aims were to estimate the objective SHS prevalence and explore the SHS impact on outcomes among COPD patients without active smoking. Methods A cross-sectional design combined with longitudinal death outcome. We selected COPD patients over 40 years old based on the spirometry from National Health and Nutrition Examination Survey (2007–2012), and used the tobacco-specific biomarkers [cotinine and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanonol] to determine exposure statuses (active smoking, SHS exposure, or no smoke exposure). Then we estimated the short-term (past 2–4 days) and medium-term (past 6–12 weeks) SHS prevalence among 334 patients without active smoking. Weighted multiple regressions were performed to assess the associations between medium-term SHS exposure and outcomes (symptoms, health status, medical institution visits, and death). Results Among the patients without active smoking, the objective prevalence rates of short-term and medium-term SHS were 66.65% [95% confidence interval (CI), 59.63–73.67%] and 34.91% (95% CI, 28.86%–40.96%), respectively. Medium-term SHS exposure showed a significant effect (odds ratio, 3.57; 95% CI, 1.22–10.40) on more chronic coughing after adjusting for the covariates and indicated a trend of unadjusted increasing death risk (log-rank test, P=0.01). Conclusions Among COPD patients without active smoking, both short-term and medium-term SHS exposure are prevalent. Chronic cough may be the most susceptible patient-centred outcome related to medium-term SHS exposure. The crude longitudinal trend of elevated death risk associated with medium-term SHS exposure deserves further study.
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Affiliation(s)
- Zhen Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hongwei Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhongyu Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hongyu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Nanjin Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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