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Boas H, Ren CL. Pediatric pulmonology year in review 2023: Physiology. Pediatr Pulmonol 2024; 59:1856-1861. [PMID: 38546004 DOI: 10.1002/ppul.26993] [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: 03/01/2024] [Revised: 03/15/2024] [Accepted: 03/15/2024] [Indexed: 07/22/2024]
Abstract
Application of the principles of pulmonary physiology and lung development to the care and management of respiratory disease in children is a distinguishing feature of pediatric pulmonology. In 2023, this was evident in numerous publications in Pediatric Pulmonology and other journals. This review will highlight some of the papers in this area.
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Affiliation(s)
- Heather Boas
- Division of Pulmonary and Sleep Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Clement L Ren
- Division of Pulmonary and Sleep Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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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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3
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Balasubramanian A, Wise RA, Stanojevic S, Miller MR, McCormack MC. FEV 1Q: a race-neutral approach to assessing lung function. Eur Respir J 2024; 63:2301622. [PMID: 38485146 PMCID: PMC11027150 DOI: 10.1183/13993003.01622-2023] [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: 09/22/2023] [Accepted: 02/19/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Forced expiratory volume in 1 s quotient (FEV1Q) is a simple approach to spirometry interpretation that compares measured lung function to a lower boundary. This study evaluated how well FEV1Q predicts survival compared with current interpretation methods and whether race impacts FEV1Q. METHODS White and Black adults with complete spirometry and mortality data from the National Health and Nutrition Examination Survey (NHANES) III and the United Network for Organ Sharing (UNOS) database for lung transplant referrals were included. FEV1Q was calculated as FEV1 divided by 0.4 L for females or 0.5 L for males. Cumulative distributions of FEV1 were compared across races. Cox proportional hazards models tested mortality risk from FEV1Q adjusting for age, sex, height, smoking, income and among UNOS individuals, referral diagnosis. Harrell's C-statistics were compared between absolute FEV1, FEV1Q, FEV1/height2, FEV1 z-scores and FEV1 % predicted. Analyses were stratified by race. RESULTS Among 7182 individuals from NHANES III and 7149 from UNOS, 1907 (27%) and 991 (14%), respectively, were Black. The lower boundary FEV1 values did not differ between Black and White individuals in either population (FEV1 first percentile difference ≤0.01 L; p>0.05). Decreasing FEV1Q was associated with increasing hazard ratio (HR) for mortality (NHANES III HR 1.33 (95% CI 1.28-1.39) and UNOS HR 1.18 (95% CI 1.12-1.23)). The associations were not confounded nor modified by race. Discriminative power was highest for FEV1Q compared with alternative FEV1 approaches in both Black and White individuals. CONCLUSIONS FEV1Q is an intuitive and simple race-neutral approach to interpreting FEV1 that predicts survival better than current alternative methods.
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Affiliation(s)
- Aparna Balasubramanian
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Robert A Wise
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Sanja Stanojevic
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| | - Martin R Miller
- Institute of Applied Health Sciences, University of Birmingham, Birmingham, UK
| | - Meredith C McCormack
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
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Sheshadri A, Rajaram R, Baugh A, Castro M, Correa AM, Soto F, Daniel CR, Li L, Evans SE, Dickey BF, Vaporciyan AA, Ost DE. Association of Preoperative Lung Function with Complications after Lobectomy Using Race-Neutral and Race-Specific Normative Equations. Ann Am Thorac Soc 2024; 21:38-46. [PMID: 37796618 PMCID: PMC10867917 DOI: 10.1513/annalsats.202305-396oc] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 10/04/2023] [Indexed: 10/07/2023] Open
Abstract
Rationale: Pulmonary function testing (PFT) is performed to aid patient selection before surgical resection for non-small cell lung cancer (NSCLC). The interpretation of PFT data relies on normative equations, which vary by race, but the relative strength of association of lung function using race-specific or race-neutral normative equations with postoperative pulmonary complications is unknown. Objectives: To compare the strength of association of lung function, using race-neutral or race-specific equations, with surgical complications after lobectomy for NSCLC. Methods: We studied 3,311 patients who underwent lobectomy for NSCLC and underwent preoperative PFT from 2001 to 2021. We used Global Lung Function Initiative equations to generate race-specific and race-neutral normative equations to calculate percentage predicted forced expiratory volume in 1 second (FEV1%). The primary outcome of interest was the occurrence of postoperative pulmonary complications within 30 days of surgery. We used unadjusted and race-adjusted logistic regression models and least absolute shrinkage and selection operator analyses adjusted for relevant comorbidities to measure the association of race-specific and race-neutral FEV1% with pulmonary complications. Results: Thirty-one percent of patients who underwent surgery experienced pulmonary complications. Higher FEV1, whether measured with race-neutral (odds ratio [OR], 0.98 per 1% change in FEV1% [95% confidence interval (CI), 0.98-0.99]; P < 0.001) or race-specific (OR, 0.98 per 1% change in FEV1% [95% CI, 0.98-0.98]; P < 0.001) normative equations, was associated with fewer postoperative pulmonary complications. The area under the receiver operator curve for pulmonary complications was similar for race-adjusted race-neutral (0.60) and race-specific (0.60) models. Using least absolute shrinkage and selection operator regression, higher FEV1% was similarly associated with a lower rate of pulmonary complications in race-neutral (OR, 0.99 per 1% [95% CI, 0.98-0.99]) and race-specific (OR, 0.99 per 1%; 95% CI, 0.98-0.99) models. The marginal effect of race on pulmonary complications was attenuated in all race-specific models compared with all race-neutral models. Conclusions: The choice of race-specific or race-neutral normative PFT equations does not meaningfully affect the association of lung function with pulmonary complications after lobectomy for NSCLC, but the use of race-neutral equations unmasks additional effects of self-identified race on pulmonary complications.
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Affiliation(s)
| | | | - Aaron Baugh
- Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, San Francisco, California; and
| | - Mario Castro
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, Missouri
| | | | | | | | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
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5
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Sitarik AR, Wegienka G, Johnson CC, Joseph CLM. Impact of Spirometry Race-Correction on Preadolescent Black and White Children. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2023; 11:3097-3106. [PMID: 37301437 PMCID: PMC10592501 DOI: 10.1016/j.jaip.2023.05.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 05/24/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Race-correction for Black patients is standard practice in spirometry testing. History suggests that these corrections are at least partially a result of racist assumptions regarding lung anatomy among Black individuals, which can potentially lead to less frequent diagnoses of pulmonary diseases in this population. OBJECTIVE To evaluate the impact of race-correction in spirometry testing among Black and White preadolescents, and examine the frequency of current asthma symptoms in Black children who were differentially classified depending on whether race-corrected or race-uncorrected reference equations were deployed. METHODS Data from Black and White children who completed a clinical examination at age 10 years from a Detroit-based unselected birth cohort were analyzed. Global Lung Initiative 2012 reference equations were applied to spirometry data using both race-corrected and race-uncorrected (ie, population-average) equations. Abnormal results were defined as values less than the fifth percentile. Asthma symptoms were assessed concurrently using the International Study of Asthma and Allergies in Childhood questionnaire, while asthma control was assessed using the Asthma Control Test. RESULTS The impact of race-correction on forced expiratory volume in 1 second (FEV1)/forced vital capacity ratio was minimal, but abnormal classification of FEV1 results more than doubled among Black children when race-uncorrected equations were used (7% vs 18.1%) and were almost 8 times greater based on forced vital capacity classification (1.5% vs 11.4%). More than half of Black children differentially classified on FEV1 (whose FEV1 was classified as normal with race-corrected equations but abnormal with race-uncorrected equations) experienced asthma symptoms in the past 12 months (52.6%), which was significantly higher than the percentage of Black children consistently classified as normal (35.5%, P = .049), but similar to that of Black children consistently classified as abnormal using both race-corrected and race-uncorrected equations (62.5%, P = .60). Asthma Control Test scores were not different based on classification. CONCLUSIONS Race-correction had an extensive impact on spirometry classification in Black children, and differentially classified children had a higher rate of asthma symptoms than children consistently classified as normal. Spirometry reference equations should be reevaluated to be aligned with current scientific perspectives on the use of race in medicine.
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Affiliation(s)
| | - Ganesa Wegienka
- Department of Public Health Sciences, Henry Ford Health, Detroit, Mich
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Abstract
In the United States, asthma and chronic obstructive pulmonary disease (COPD) disproportionately affect African Americans, Puerto Ricans, and other minority groups. Compared with non-Hispanic whites, minorities have been marginalized and more frequently exposed to environmental risk factors such as tobacco smoke and outdoor and indoor pollutants. Such divergent environmental exposures, alone or interacting with heredity, lead to disparities in the prevalence, morbidity, and mortality of asthma and COPD, which are worsened by lack of access to health care. In this article, we review the burden and risk factors for racial or ethnic disparities in asthma and COPD and discuss future directions in this field.
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Affiliation(s)
- Erick Forno
- Division of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Victor E Ortega
- Division of Respiratory Medicine, Department of Medicine, Mayo Clinic, Phoenix, AZ, USA
| | - Juan C Celedón
- Division of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA.
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7
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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: 3.0] [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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8
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Baugh AD, Woodruff P, Shiboski S, Glidden DV, Ortega VE, Thakur N. Spirometry in Mixed-Race Civil War Veterans. Ann Am Thorac Soc 2023; 20:1217-1219. [PMID: 37159952 PMCID: PMC10405614 DOI: 10.1513/annalsats.202301-090rl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023] Open
Affiliation(s)
- Aaron D. Baugh
- University of California, San FranciscoSan Francisco, California
| | | | - Stephen Shiboski
- University of California, San FranciscoSan Francisco, California
| | - David V. Glidden
- University of California, San FranciscoSan Francisco, California
| | | | - Neeta Thakur
- University of California, San FranciscoSan Francisco, California
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9
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Pham J, Bui DS, Lodge CJ, Abramson MJ, Lowe AJ, Li S, Win AK, Hew M, Dharmage SC. Genetic ancestry is associated with asthma, and this could be modified by environmental factors. A systematic review. Clin Exp Allergy 2023; 53:668-671. [PMID: 37051940 PMCID: PMC10947234 DOI: 10.1111/cea.14308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 03/03/2023] [Accepted: 03/11/2023] [Indexed: 04/14/2023]
Affiliation(s)
- Jonathan Pham
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global HealthThe University of MelbourneMelbourneVictoriaAustralia
- Asthma, Allergy and Clinical Immunology Service, Department of Respiratory MedicineAlfred HospitalMelbourneVictoriaAustralia
| | - Dinh S. Bui
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Caroline J. Lodge
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Michael J. Abramson
- School of Public Health & Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Adrian J. Lowe
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Shuai Li
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global HealthThe University of MelbourneParkvilleVictoriaAustralia
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVictoriaAustralia
| | - Aung K. Win
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Mark Hew
- Asthma, Allergy and Clinical Immunology Service, Department of Respiratory MedicineAlfred HospitalMelbourneVictoriaAustralia
| | - Shyamali C. Dharmage
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global HealthThe University of MelbourneMelbourneVictoriaAustralia
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10
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Mabelane T, Masekela R, Dandara C, Hadebe S. Immunogenetics and pharmacogenetics of allergic asthma in Africa. FRONTIERS IN ALLERGY 2023; 4:1165311. [PMID: 37228580 PMCID: PMC10203899 DOI: 10.3389/falgy.2023.1165311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 04/20/2023] [Indexed: 05/27/2023] Open
Abstract
Asthma is a common chronic condition in children and in an African setting is often highly prevalent in urban areas as compared to rural areas. Asthma is a heritable disease and the genetic risk is often exacerbated by unique localised environmental factors. The Global Initiative for Asthma (GINA) recommendation for the control of asthma includes inhaled corticosteroids (ICS) alone or together with short-acting β2-agonists (SABA) or long-acting β2-agonists (LABA). While these drugs can relieve asthma symptoms, there is evidence of reduced efficacy in people of African ancestry. Whether this is due to immunogenetics, genomic variability in drug metabolising genes (pharmacogenetics) or genetics of asthma-related traits is not well defined. Pharmacogenetic evidence of first-line asthma drugs in people of African ancestry is lacking and is further compounded by the lack of representative genetic association studies in the continent. In this review, we will discuss the paucity of data related to the pharmacogenetics of asthma drugs in people of African ancestry, mainly drawing from African American data. We will further discuss how this gap can be bridged to improve asthma health outcomes in Africa.
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Affiliation(s)
- Tshegofatso Mabelane
- Department of Medicine, Sefako Makgatho Health Science University, Ga-Rankuwa, South Africa
| | - Refiloe Masekela
- Department of Paediatrics, Nelson Mandela School of Medicine, Inkosi Albert Luthuli Hospital, University of KwaZulu-Natal, Durban, South Africa
| | - Collet Dandara
- Division of Human Genetics, Department of Pathology, Faculty of Health Sciences and Institute of Infectious Diseases Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Platform for Pharmacogenomics Research and Translation, South African Medical Research Council, Cape Town, South Africa
| | - Sabelo Hadebe
- Division of Immunology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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11
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Bowerman C, Bhakta NR, Brazzale D, Cooper BR, Cooper J, Gochicoa-Rangel L, Haynes J, Kaminsky DA, Lan LTT, Masekela R, McCormack MC, Steenbruggen I, Stanojevic S. A Race-neutral Approach to the Interpretation of Lung Function Measurements. Am J Respir Crit Care Med 2023; 207:768-774. [PMID: 36383197 DOI: 10.1164/rccm.202205-0963oc] [Citation(s) in RCA: 55] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Rationale: The use of self-reported race and ethnicity to interpret lung function measurements has historically assumed that the observed differences in lung function between racial and ethnic groups were because of thoracic cavity size differences relative to standing height. Very few studies have considered the influence of environmental and social determinants on pulmonary function. Consequently, the use of race and ethnicity-specific reference equations may further marginalize disadvantaged populations. Objectives: To develop a race-neutral reference equation for spirometry interpretation. Methods: National Health and Nutrition Examination Survey (NHANES) III data (n = 6,984) were reanalyzed with sitting height and the Cormic index to investigate whether body proportions were better predictors of lung function than race and ethnicity. Furthermore, the original GLI (Global Lung Function Initiative) data (n = 74,185) were reanalyzed with inverse-probability weights to create race-neutral GLI global (2022) equations. Measurements and Main Results: The inclusion of sitting height slightly improved the statistical precision of reference equations compared with using standing height alone but did not explain observed differences in spirometry between the NHANES III race and ethnic groups. GLI global (2022) equations, which do not require the selection of race and ethnicity, had a similar fit to the GLI 2012 "other" equations and wider limits of normal. Conclusions: The use of a single global spirometry equation reflects the wide range of lung function observed within and between populations. Given the inherent limitations of any reference equation, the use of GLI global equations to interpret spirometry requires careful consideration of an individual's symptoms and medical history when used to make clinical, employment, and insurance decisions.
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Affiliation(s)
- Cole Bowerman
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Nirav R Bhakta
- Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California San Francisco, San Francisco, California
| | - Danny Brazzale
- Department of Respiratory and Sleep Medicine, Austin Hospital, Heidelberg, Germany
| | - Brendan R Cooper
- Lung Function & Sleep, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Julie Cooper
- Lung Function & Sleep, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Laura Gochicoa-Rangel
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Jeffrey Haynes
- Pulmonary Function Laboratory, Elliot Health System, Manchester, New Hampshire
| | - David A Kaminsky
- Pulmonary Disease and Critical Care Medicine, University of Vermont College of Medicine, Burlington, Vermont
| | | | - Refiloe Masekela
- Department of Paediatrics and Child Health, Faculty of Health Sciences, School of Clinical Medicine, University of Kwazulu-Natal, Durban, South Africa
| | - Meredith C McCormack
- Division of Pulmonary and Critical Care, Johns Hopkins School of Medicine, Baltimore, Maryland; and
| | | | - Sanja Stanojevic
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
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12
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Change Management Strategies Towards Dismantling Race-Based Structural Barriers in Radiology. Acad Radiol 2023; 30:658-665. [PMID: 36804171 DOI: 10.1016/j.acra.2023.01.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/21/2023]
Abstract
Political momentum for antiracist policies grew out of the collective trauma highlighted during the COVID pandemic. This prompted discussions of root cause analyses for differences in health outcomes among historically underserved populations, including racial and ethnic minorities. Dismantling structural racism in medicine is an ambitious goal that requires widespread buy-in and transdisciplinary collaborations across institutions to establish systematic, rigorous approaches that enable sustainable change. Radiology is at the center of medical care and renewed focus on equity, diversity, and inclusion (EDI) provides an opportune window for radiologists to facilitate an open forum to address racialized medicine to catalyze real and lasting change. The framework of change management can help radiology practices create and maintain this change while minimizing disruption. This article discusses how change management principles can be leveraged by radiology to lead EDI interventions that will encourage honest dialogue, serve as a platform to support institutional EDI efforts, and lead to systemic change.
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13
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Nassar AH, Adib E, Abou Alaiwi S, El Zarif T, Groha S, Akl EW, Nuzzo PV, Mouhieddine TH, Perea-Chamblee T, Taraszka K, El-Khoury H, Labban M, Fong C, Arora KS, Labaki C, Xu W, Sonpavde G, Haddad RI, Mouw KW, Giannakis M, Hodi FS, Zaitlen N, Schoenfeld AJ, Schultz N, Berger MF, MacConaill LE, Ananda G, Kwiatkowski DJ, Choueiri TK, Schrag D, Carrot-Zhang J, Gusev A. Ancestry-driven recalibration of tumor mutational burden and disparate clinical outcomes in response to immune checkpoint inhibitors. Cancer Cell 2022; 40:1161-1172.e5. [PMID: 36179682 PMCID: PMC9559771 DOI: 10.1016/j.ccell.2022.08.022] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 07/01/2022] [Accepted: 08/18/2022] [Indexed: 01/28/2023]
Abstract
The immune checkpoint inhibitor (ICI) pembrolizumab is US FDA approved for treatment of solid tumors with high tumor mutational burden (TMB-high; ≥10 variants/Mb). However, the extent to which TMB-high generalizes as an accurate biomarker in diverse patient populations is largely unknown. Using two clinical cohorts, we investigated the interplay between genetic ancestry, TMB, and tumor-only versus tumor-normal paired sequencing in solid tumors. TMB estimates from tumor-only panels substantially overclassified individuals into the clinically important TMB-high group due to germline contamination, and this bias was particularly pronounced in patients with Asian/African ancestry. Among patients with non-small cell lung cancer treated with ICIs, those misclassified as TMB-high from tumor-only panels did not associate with improved outcomes. TMB-high was significantly associated with improved outcomes only in European ancestries and merits validation in non-European ancestry populations. Ancestry-aware tumor-only TMB calibration and ancestry-diverse biomarker studies are critical to ensure that existing disparities are not exacerbated in precision medicine.
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Affiliation(s)
- Amin H Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT 06510, USA; Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Elio Adib
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Talal El Zarif
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Stefan Groha
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Elie W Akl
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Pier Vitale Nuzzo
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Tarek H Mouhieddine
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Tomin Perea-Chamblee
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kodi Taraszka
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Habib El-Khoury
- Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Muhieddine Labban
- Department of Urologic Surgery, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Christopher Fong
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kanika S Arora
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Chris Labaki
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Wenxin Xu
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Guru Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Robert I Haddad
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Kent W Mouw
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - F Stephen Hodi
- Melanoma Center, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Noah Zaitlen
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, 1275 York Avenue, New York, NY 10065, USA
| | - Nikolaus Schultz
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Michael F Berger
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Laura E MacConaill
- Department of Pathology, Brigham and Women's Hospital, Boston, MA 02115, USA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Guruprasad Ananda
- Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Toni K Choueiri
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Deborah Schrag
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jian Carrot-Zhang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Alexander Gusev
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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14
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Developing CIRdb as a catalog of natural genetic variation in the Canary Islanders. Sci Rep 2022; 12:16132. [PMID: 36168029 PMCID: PMC9514705 DOI: 10.1038/s41598-022-20442-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 09/13/2022] [Indexed: 11/29/2022] Open
Abstract
The current inhabitants of the Canary Islands have a unique genetic makeup in the European diversity landscape due to the existence of African footprints from recent admixture events, especially of North African components (> 20%). The underrepresentation of non-Europeans in genetic studies and the sizable North African ancestry, which is nearly absent from all existing catalogs of worldwide genetic diversity, justify the need to develop CIRdb, a population-specific reference catalog of natural genetic variation in the Canary Islanders. Based on array genotyping of the selected unrelated donors and comparisons against available datasets from European, sub-Saharan, and North African populations, we illustrate the intermediate genetic differentiation of Canary Islanders between Europeans and North Africans and the existence of within-population differences that are likely driven by genetic isolation. Here we describe the overall design and the methods that are being implemented to further develop CIRdb. This resource will help to strengthen the implementation of Precision Medicine in this population by contributing to increase the diversity in genetic studies. Among others, this will translate into improved ability to fine map disease genes and simplify the identification of causal variants and estimate the prevalence of unattended Mendelian diseases.
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15
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The Contribution of Anthropometry and Socioeconomic Status to Racial Differences in Measures of Lung Function. Chest 2022; 162:635-646. [DOI: 10.1016/j.chest.2022.04.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 11/19/2022] Open
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16
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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: 1.5] [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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17
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Wright JL, Davis WS, Joseph MM, Ellison AM, Heard-Garris NJ, Johnson TL. Eliminating Race-Based Medicine. Pediatrics 2022; 150:186963. [PMID: 35491483 DOI: 10.1542/peds.2022-057998] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/29/2022] [Indexed: 02/03/2023] Open
Affiliation(s)
- Joseph L Wright
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland.,Department of Health Policy and Management, University of Maryland School of Public Health, College Park, Maryland
| | - Wendy S Davis
- Department of Pediatrics, Robert Larner, MD, College of Medicine, University of Vermont, Burlington, Vermont
| | - Madeline M Joseph
- Departments of Emergency Medicine and Pediatrics, University of Florida College of Medicine - Jacksonville, Jacksonville, Florida
| | - Angela M Ellison
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Nia J Heard-Garris
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Tiffani L Johnson
- Department of Emergency Medicine, University of California, Davis, Sacramento, California
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18
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Asgari S, Luo Y, Huang CC, Zhang Z, Calderon R, Jimenez J, Yataco R, Contreras C, Galea JT, Lecca L, Jones D, Moody DB, Murray MB, Raychaudhuri S. Higher native Peruvian genetic ancestry proportion is associated with tuberculosis progression risk. CELL GENOMICS 2022; 2. [PMID: 35873671 PMCID: PMC9306274 DOI: 10.1016/j.xgen.2022.100151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
We investigated whether ancestry-specific genetic factors affect tuberculosis (TB) progression risk in a cohort of admixed Peruvians. We genotyped 2,105 patients with TB and 1,320 household contacts (HHCs) who were infected with Mycobacterium tuberculosis (M. tb) but did not develop TB and inferred each individual’s proportion of native Peruvian genetic ancestry. Our HHC study design and our data on potential confounders allowed us to demonstrate increased risk independent of socioeconomic factors. A 10% increase in individual-level native Peruvian genetic ancestry proportion corresponded to a 25% increased TB progression risk. This corresponds to a 3-fold increased risk for individuals in the highest decile of native Peruvian genetic ancestry versus the lowest decile, making native Peruvian genetic ancestry comparable in effect to clinical factors such as diabetes. Our results suggest that genetic ancestry is a major contributor to TB progression risk and highlight the value of including diverse populations in host genetic studies. Our understanding of how genetic differences among human populations may affect susceptibility to infectious diseases is very limited. Asgari et al. show that the proportion of native genetic ancestry in contemporary Peruvians affects the risk of progression from latent to active tuberculosis even after accounting for differences in socio-demographic factors.
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19
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The Challenges of Using Race- and Ethnicity-Based Spirometry Reference Equations in Genetically Admixed Populations. Chest 2022; 162:11-13. [DOI: 10.1016/j.chest.2022.01.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 01/26/2022] [Indexed: 11/21/2022] Open
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20
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Graham BL, Miller MR, Thompson BR. Addressing the effect of ancestry on lung volume. Eur Respir J 2022; 59:59/6/2200882. [PMID: 35714993 DOI: 10.1183/13993003.00882-2022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 11/05/2022]
Affiliation(s)
- Brian L Graham
- Division of Respirology, Critical Care and Sleep Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Martin R Miller
- Institute of Applied Health Sciences, University of Birmingham, Birmingham, UK
| | - Bruce R Thompson
- Melbourne School of Health Science, University of Melbourne, Victoria, Australia
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21
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Achieving equity through science and integrity: dismantling race-based medicine. Pediatr Res 2022; 91:1641-1644. [PMID: 35383261 DOI: 10.1038/s41390-022-02041-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 03/13/2022] [Indexed: 02/04/2023]
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22
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Sze DFL, Howarth TP, Lake CD, Ben Saad H, Heraganahally SS. Differences in the Spirometry Parameters Between Indigenous and Non-Indigenous Patients with COPD: A Matched Control Study. Int J Chron Obstruct Pulmon Dis 2022; 17:869-881. [PMID: 35480554 PMCID: PMC9037718 DOI: 10.2147/copd.s361839] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/11/2022] [Indexed: 12/16/2022] Open
Abstract
Background Comparison of spirometry parameters between Indigenous and non-Indigenous patients with underlying chronic obstructive pulmonary disease (COPD) has been sparsely reported in the past. In this study, differences in the lung function parameters (LFPs), in particular spirometry values for forced vital capacity (FVC), forced expiratory volume in one second (FEV1) and FEV1/FVC ratio between Indigenous and non-Indigenous patients with COPD were assessed. Methods In this retrospective study, Indigenous and non-Indigenous patients with a diagnosis of COPD between 2012-2020 according to spirometry criteria (ie; post-bronchodilator (BD) FEV1/FVC < 0.7) were included. A further analysis was undertaken to compare the differences in the spirometry parameters, including lower limit of normal (LLN) values matching for age, sex, height and smoking status between these two diverse ethnic populations. Results A total of 240/742 (32%) Indigenous and 873/4579 (19%) non-Indigenous patients were identified to fit the criteria for COPD. Indigenous patients were significantly younger (mean difference 9.9 years), with a greater proportion of females (50% vs 33%), underweight (20% vs 8%) and current smokers (47% vs 32%). Prior to matching, Indigenous patients' post-BD percent predicted values for FVC, FEV1, and FEV1/FVC ratio were 17, 17%, and -2 points lower (Hedges G measure of effect size large (0.91), large (0.87), and small (0.25), respectively). Among the matched cohort (111 Indigenous and non-Indigenous), Indigenous patients LFPs remained significantly lower, with a mean difference of 16%, 16%, and -4, respectively (Hedges G large (0.94), large (0.92) and small (0.41), respectively). The differences persisted despite no significant differences in LLN values for these parameters. Conclusion Indigenous Australian patients with COPD display a significantly different demographic and clinical profile than non-Indigenous patients. LFPs were significantly lower, which may or may not equate to greater severity of disease in the absence of normative predictive lung function reference values specific to this population.
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Affiliation(s)
- Dorothy F L Sze
- Department of Respiratory and Sleep Medicine, Royal Darwin Hospital, Darwin, NT, Australia
| | - Timothy P Howarth
- College of Health and Human Sciences, Charles Darwin University, Darwin, NT, Australia.,Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, NT, Australia
| | - Clair D Lake
- Pulmonary Function Laboratory, Royal Darwin Hospital, Darwin, NT, Australia
| | - Helmi Ben Saad
- Laboratory of Physiology, Faculty of Medicine of Sousse, University of Sousse, Sousse, Tunisia.,Research laboratory "Heart Failure, LR12SP09", Farhat HACHED Hospital, Faculty of Medicine of Sousse, University of Sousse, Sousse, Tunisia
| | - Subash S Heraganahally
- Department of Respiratory and Sleep Medicine, Royal Darwin Hospital, Darwin, NT, Australia.,Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, NT, Australia.,College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
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23
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Greenberg MB, Gandhi M, Davidson C, Carter EB. Society for Maternal-Fetal Medicine Consult Series #62: Best practices in equitable care delivery-Addressing systemic racism and other social determinants of health as causes of obstetrical disparities. Am J Obstet Gynecol 2022; 227:B44-B59. [PMID: 35378098 DOI: 10.1016/j.ajog.2022.04.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
The Centers for Disease Control and Prevention define social determinants of health as "the conditions in the places where people live, learn, work, and play" that can affect health outcomes. Systemic racism is a root cause of the power and wealth imbalances that affect social determinants of health, creating disproportionate rates of comorbidities and adverse outcomes in the communities of racial and ethnic minority groups. Focusing primarily on disparities between Black and White individuals born in the United States, this document reviews the effects of social determinants of health and systemic racism on reproductive health outcomes and recommends multilevel approaches to mitigate disparities in obstetrical outcomes.
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24
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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: 12] [Impact Index Per Article: 6.0] [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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25
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Kaminsky DA. Is There a Role for Using Race-Specific Reference Equations? Yes and No. Am J Respir Crit Care Med 2022; 205:746-748. [PMID: 35196477 PMCID: PMC9836213 DOI: 10.1164/rccm.202201-0006ed] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Affiliation(s)
- David A Kaminsky
- Pulmonary and Critical Care University of Vermont College of Medicine Burlington, Vermont
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Baugh AD, Shiboski S, Hansel NN, Ortega V, Barjaktarevic I, Barr RG, Bowler R, Comellas AP, Cooper CB, Couper D, Criner G, Curtis JL, Dransfield M, Ejike C, Han MK, Hoffman E, Krishnan J, Krishnan JA, Mannino D, Paine R, Parekh T, Peters S, Putcha N, Rennard S, Thakur N, Woodruff PG. Reconsidering the Utility of Race-Specific Lung Function Prediction Equations. Am J Respir Crit Care Med 2022; 205:819-829. [PMID: 34913855 PMCID: PMC9836221 DOI: 10.1164/rccm.202105-1246oc] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 12/15/2021] [Indexed: 02/04/2023] Open
Abstract
Rationale: African American individuals have worse outcomes in chronic obstructive pulmonary disease (COPD). Objectives: To assess whether race-specific approaches for estimating lung function contribute to racial inequities by failing to recognize pathological decrements and considering them normal. Methods: In a cohort with and at risk for COPD, we assessed whether lung function prediction equations applied in a race-specific versus universal manner better modeled the relationship between FEV1, FVC, and other COPD outcomes, including the COPD Assessment Test, St. George's Respiratory Questionnaire, computed tomography percent emphysema, airway wall thickness, and 6-minute-walk test. We related these outcomes to differences in FEV1 using multiple linear regression and compared predictive performance between fitted models using root mean squared error and Alpaydin's paired F test. Measurements and Main Results: Using race-specific equations, African American individuals were calculated to have better lung function than non-Hispanic White individuals (FEV1, 76.8% vs. 71.8% predicted; P = 0.02). Using universally applied equations, African American individuals were calculated to have worse lung function. Using Hankinson's Non-Hispanic White equation, FEV1 was 64.7% versus 71.8% (P < 0.001). Using the Global Lung Initiative's Other race equation, FEV1 was 70.0% versus 77.9% (P < 0.001). Prediction errors from linear regression were less for universally applied equations compared with race-specific equations when examining FEV1% predicted with the COPD Assessment Test (P < 0.01), St. George's Respiratory Questionnaire (P < 0.01), and airway wall thickness (P < 0.01). Although African American participants had greater adversity (P < 0.001), less adversity was only associated with better FEV1 in non-Hispanic White participants (P for interaction = 0.041). Conclusions: Race-specific equations may underestimate COPD severity in African American individuals.Clinical trial registered with www.clinicaltrials.gov (NCT01969344).
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Affiliation(s)
- Aaron D. Baugh
- University of California San Francisco, San Francisco, California
| | - Stephen Shiboski
- University of California San Francisco, San Francisco, California
| | | | - Victor Ortega
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Igor Barjaktarevic
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - R. Graham Barr
- Columbia University Medical Center, Columbia University, New York, New York
| | | | | | | | - David Couper
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina
| | - Gerard Criner
- Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania
| | - Jeffrey L. Curtis
- University of Michigan, Ann Arbor, Michigan
- Veterans Administration Ann Arbor Healthcare System, Ann Arbor, Michigan
| | | | | | | | - Eric Hoffman
- Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | | | | | | | | | | | - Stephen Peters
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | | | - Neeta Thakur
- University of California San Francisco, San Francisco, California
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Witonsky J, Elhawary JR, Eng C, Rodríguez-Santana JR, Borrell LN, Burchard EG. Genetic Ancestry to Improve Precision of Race/Ethnicity-based Lung Function Equations in Children. Am J Respir Crit Care Med 2022; 205:725-727. [PMID: 35085059 DOI: 10.1164/rccm.202109-2088le] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
| | | | - Celeste Eng
- University of California San Francisco San Francisco, California
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McCormack MC, Balasubramanian A, Matsui EC, Peng RD, Wise RA, Keet CA. Race, Lung Function, and Long-Term Mortality in the National Health and Nutrition Examination Survey III. Am J Respir Crit Care Med 2022; 205:723-724. [PMID: 34597248 DOI: 10.1164/rccm.202104-0822le] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
| | | | | | - Roger D Peng
- Johns Hopkins Bloomberg School of Public Health Baltimore, Maryland
| | - Robert A Wise
- Johns Hopkins School of Medicine Baltimore, Maryland
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29
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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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Bhakta NR, Balmes JR. A Good Fit Versus One Size for All: Alternatives to Race in the Interpretation of Pulmonary Function Tests. Am J Respir Crit Care Med 2022; 205:616-618. [PMID: 35120297 DOI: 10.1164/rccm.202201-0076ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Nirav R Bhakta
- University of California San Francisco, 8785, San Francisco, California, United States;
| | - John R Balmes
- University of California, Berkeley, Environmental Health Sciences, School of Public Health, Berkeley, California, United States.,University of California, San Francisco, Department of Medicine, San Francisco, California, United States
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Fifor A, Krukowski K, Honda JR. Sex, ancestry, senescence, and aging (SAnSA) are stark drivers of nontuberculous mycobacterial pulmonary disease. J Clin Tuberc Other Mycobact Dis 2022; 26:100297. [PMID: 35059508 PMCID: PMC8760511 DOI: 10.1016/j.jctube.2022.100297] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Nontuberculous mycobacterial (NTM) pulmonary disease (PD) disproportionately affects otherwise healthy, older, Caucasian females. The reasons behind this are likely multifactorial involving several conspiring factors. A variety of factors are thought to contribute to increased susceptibility to NTM in the older adult including exposure to various environmental conditions and contaminants across the lifespan, genetic risk factors, hormonal changes, and immunodeficiency. Independent of sex and ancestry, respiratory muscle atrophy intensifies with age and an aging immune system can show functional decline of macrophages, poor lung migration and homing of dendritic cells, promotion of aberrant pro-inflammatory responses, acceleration of inflammation related to aging, and increased immunosenescence. The purpose of this review is to synthesize the current body of knowledge regarding the roles of sex, ancestry, senescence, and aging (SAnSA) in NTM acquisition and the possible mechanisms involved in NTM PD, highlighting age-related respiratory and immune system changes. We also summarize molecular tools and biomarkers of these fields and contextualize these into the study of NTM PD. Finally, we discuss the relevance of biomarkers described for senescence and aging and senolytic therapies as potentially new adjunctive strategies to reduce the burden of NTM PD.
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Ekström M, Mannino D. Research race-specific reference values and lung function impairment, breathlessness and prognosis: Analysis of NHANES 2007-2012. Respir Res 2022; 23:271. [PMID: 36182912 PMCID: PMC9526909 DOI: 10.1186/s12931-022-02194-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/22/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Spirometry reference values differ by race/ethnicity, which is controversial. We evaluated the effect of race-specific references on prevalence of lung function impairment and its relation to breathlessness and mortality in the US population. METHODS Population-based analysis of the National Health and Nutrition Examination Survey (NHANES) 2007-2012. Race/ethnicity was analyzed as black, white, or other. Reference values for forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) were calculated for each person using the Global Lung Initiative (GLI)-2012 equations for (1) white; (2) black; and (3) other/mixed people. Outcomes were prevalence of lung function impairment (< lower limit of normal [LLN]), moderate/severe impairment (< 50%pred); exertional breathlessness; and mortality until 31 December, 2015. RESULTS We studied 14,123 people (50% female). Compared to those for white, black reference values identified markedly fewer cases of lung function impairment (FEV1) both in black people (9.3% vs. 36.9%) and other non-white (1.5% vs. 9.5%); and prevalence of moderate/severe impairment was approximately halved. Outcomes by impairment differed by reference used: white (best), other/mixed (intermediate), and black (worst outcomes). Black people with FEV1 ≥ LLNblack but < LLNwhite had 48% increased rate of breathlessness and almost doubled mortality, compared to blacks ≥ LLNwhite. White references identified people with good outcomes similarly in black and white people. Findings were similar for FEV1 and FVC. CONCLUSION Compared to using a common reference (for white) across the population, race-specific spirometry references did not improve prediction of breathlessness and prognosis, and may misclassify lung function as normal despite worse outcomes in black people.
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Affiliation(s)
- Magnus Ekström
- grid.4514.40000 0001 0930 2361Faculty of Medicine, Department of Clinical Sciences Lund, Respiratory Medicine, Allergology and Palliative Medicine, Lund University, Lund, Sweden ,grid.414525.30000 0004 0624 0881Department of Medicine, Blekinge Hospital, SE-37185 Karlskrona, Sweden
| | - David Mannino
- grid.266539.d0000 0004 1936 8438Department of Medicine, University of Kentucky College of Medicine, Lexington, KY USA ,grid.477168.b0000 0004 5897 5206COPD Foundation, Washington, D.C USA
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Wang C, Siff J, Greco PJ, Warren E, Thornton JD, Tarabichi Y. The Impact of an Electronic Health Record Intervention on Spirometry Completion in Patients with Chronic Obstructive Pulmonary Disease. COPD 2022; 19:142-148. [PMID: 35392743 PMCID: PMC9202241 DOI: 10.1080/15412555.2022.2049736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 02/07/2022] [Accepted: 02/25/2022] [Indexed: 11/12/2022]
Abstract
Spirometry is necessary to diagnose chronic obstructive pulmonary disease (COPD), yet a large proportion of patients are diagnosed and treated without having received testing. This study explored whether the effects of interventions using the electronic health record (EHR) to target patients diagnosed with COPD without confirmatory spirometry impacted the incidence rates of spirometry referrals and completions. This retrospective before and after study assessed the impact of provider-facing clinical decision support that identified patients who had a diagnosis of COPD but had not received spirometry. Spirometry referrals, completions, and results were ascertained 1.5 years prior to and 1.5 years after the interventions were initiated. Inhaler prescriptions by class were also tallied. There were 10,949 unique patients with a diagnosis of COPD who were eligible for inclusion. 4,895 patients (44.7%) were excluded because they had completed spirometry prior to the cohort start dates. The pre-intervention cohort consisted of 2,622 patients, while the post-intervention cohort had 3,392. Spirometry referral rates pre-intervention were 20.2% compared to 31.6% post-intervention (p < 0.001). Spirometry completion rates rose from 13.2% pre-intervention to 19.3% afterwards (p < 0.001). 61.7% (585 of 948) had no evidence of airflow obstruction. After excluding patients with a diagnosis of asthma, 25.8% (126 of 488) patients who had no evidence of airflow obstruction had prescriptions for long-acting bronchodilators or inhaled steroids. A concerted EHR intervention modestly increased spirometry referral and completion rates in patients with a diagnosis of COPD without prior spirometry and decreased misclassification of disease.
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Affiliation(s)
- Christine Wang
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Jonathan Siff
- Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA
- The Population Health Research Institute, The MetroHealth System, Cleveland, OH, USA
| | - Peter J. Greco
- Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA
- The Population Health Research Institute, The MetroHealth System, Cleveland, OH, USA
| | - Edward Warren
- Division of Pulmonary, Critical Care, and Sleep Medicine, The MetroHealth System, Cleveland, OH, USA
| | - J. Daryl Thornton
- The Population Health Research Institute, The MetroHealth System, Cleveland, OH, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, The MetroHealth System, Cleveland, OH, USA
- Center for Reducing Health Disparities, The MetroHealth Campus of Case Western Reserve University, Cleveland, OH, USA
| | - Yasir Tarabichi
- Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA
- The Population Health Research Institute, The MetroHealth System, Cleveland, OH, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, The MetroHealth System, Cleveland, OH, USA
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Kouri A, Dandurand RJ, Usmani OS, Chow CW. Exploring the 175-year history of spirometry and the vital lessons it can teach us today. Eur Respir Rev 2021; 30:30/162/210081. [PMID: 34615699 DOI: 10.1183/16000617.0081-2021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 07/02/2021] [Indexed: 12/25/2022] Open
Abstract
175 years have elapsed since John Hutchinson introduced the world to his version of an apparatus that had been in development for nearly two centuries, the spirometer. Though he was not the first to build a device that sought to measure breathing and quantify the impact of disease and occupation on lung function, Hutchison coined the terms spirometer and vital capacity that are still in use today, securing his place in medical history. As Hutchinson envisioned, spirometry would become crucial to our growing knowledge of respiratory pathophysiology, from Tiffeneau and Pinelli's work on forced expiratory volumes, to Fry and Hyatt's description of the flow-volume curve. In the 20th century, standardization of spirometry further broadened its reach and prognostic potential. Today, spirometry is recognized as essential to respiratory disease diagnosis, management and research. However, controversy exists in some of its applications, uptake in primary care remains sub-optimal and there are concerns related to the way in which race is factored into interpretation. Moving forward, these failings must be addressed, and innovations like Internet-enabled portable spirometers may present novel opportunities. We must also consider the physiologic and practical limitations inherent to spirometry and further investigate complementary technologies such as respiratory oscillometry and other emerging technologies that assess lung function. Through an exploration of the storied history of spirometry, we can better contextualize its current landscape and appreciate the trends that have repeatedly arisen over time. This may help to improve our current use of spirometry and may allow us to anticipate the obstacles confronting emerging pulmonary function technologies.
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Affiliation(s)
- Andrew Kouri
- Division of Respirology, Dept of Medicine, St. Michael's Hospital, Unity Health Toronto, Ontario, Canada
| | - Ronald J Dandurand
- Lakeshore General Hospital, Quebec, Canada.,Dept of Medicine, Respiratory Division, McGill University, Montreal, Quebec, Canada.,Montreal Chest Institute, Meakins-Christie Labs and Oscillometry Unit of the Centre for Innovative Medicine, McGill University Health Centre and Research Institute, Montreal, Canada
| | - Omar S Usmani
- National Heart and Lung Institute, Imperial College London and Royal Brompton Hospital, London, UK
| | - Chung-Wai Chow
- Dept of Medicine, University of Toronto, Toronto, Canada.,Division of Respirology and Multi-Organ Transplant Programme, Dept of Medicine, Toronto General Hospital, University Health Network, Toronto, Canada
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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: 56] [Impact Index Per Article: 18.7] [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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Wan ES, Balte P, Schwartz JE, Bhatt SP, Cassano PA, Couper D, Daviglus ML, Dransfield MT, Gharib SA, Jacobs DR, Kalhan R, London SJ, Acien AN, O’Connor GT, Sanders JL, Smith BM, White W, Yende S, Oelsner EC. Association Between Preserved Ratio Impaired Spirometry and Clinical Outcomes in US Adults. JAMA 2021; 326:2287-2298. [PMID: 34905031 PMCID: PMC8672237 DOI: 10.1001/jama.2021.20939] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 11/03/2021] [Indexed: 11/14/2022]
Abstract
Importance Chronic lung diseases are a leading cause of morbidity and mortality. Unlike chronic obstructive pulmonary disease, clinical outcomes associated with proportional reductions in expiratory lung volumes without obstruction, otherwise known as preserved ratio impaired spirometry (PRISm), are poorly understood. Objective To examine the prevalence, correlates, and clinical outcomes associated with PRISm in US adults. Design, Setting, and Participants The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study was a retrospective study with harmonized pooled data from 9 US general population-based cohorts (enrollment, 65 251 participants aged 18 to 102 years of whom 53 701 participants had valid baseline lung function) conducted from 1971-2011 (final follow-up, December 2018). Exposures Participants were categorized into mutually exclusive groups by baseline lung function. PRISm was defined as the ratio of forced expiratory volume in the first second to forced vital capacity (FEV1:FVC) greater than or equal to 0.70 and FEV1 less than 80% predicted; obstructive spirometry FEV1:FVC ratio of less than 0.70; and normal spirometry FEV1:FVC ratio greater than or equal to 0.7 and FEV1 greater than or equal to 80% predicted. Main Outcomes and Measures Main outcomes were all-cause mortality, respiratory-related mortality, coronary heart disease (CHD)-related mortality, respiratory-related events (hospitalizations and mortality), and CHD-related events (hospitalizations and mortality) classified by adjudication or validated administrative criteria. Absolute risks were adjusted for age and smoking status. Poisson and Cox proportional hazards models comparing PRISm vs normal spirometry were adjusted for age, sex, race and ethnicity, education, body mass index, smoking status, cohort, and comorbidities. Results Among all participants (mean [SD] age, 53.2 [15.8] years, 56.4% women, 48.5% never-smokers), 4582 (8.5%) had PRISm. The presence of PRISm relative to normal spirometry was significantly associated with obesity (prevalence, 48.3% vs 31.4%; prevalence ratio [PR], 1.68 [95% CI, 1.55-1.82]), underweight (prevalence, 1.4% vs 1.0%; PR, 2.20 [95% CI, 1.72-2.82]), female sex (prevalence, 60.3% vs 59.0%; PR, 1.07 [95% CI, 1.01-1.13]), and current smoking (prevalence, 25.2% vs 17.5%; PR, 1.33 [95% CI, 1.22-1.45]). PRISm, compared with normal spirometry, was significantly associated with greater all-cause mortality (29.6/1000 person-years vs 18.0/1000 person-years; difference, 11.6/1000 person-years [95% CI, 10.0-13.1]; adjusted hazard ratio [HR], 1.50 [95% CI, 1.42-1.59]), respiratory-related mortality (2.1/1000 person-years vs 1.0/1000 person-years; difference, 1.1/1000 person-years [95% CI, 0.7-1.6]; adjusted HR, 1.95 [95% CI, 1.54-2.48]), CHD-related mortality (5.4/1000 person-years vs 2.6/1000 person-years; difference, 2.7/1000 person-years [95% CI, 2.1-3.4]; adjusted HR, 1.55 [95% CI, 1.36-1.77]), respiratory-related events (12.2/1000 person-years vs 6.0/1000 person-years; difference, 6.2/1000 person-years [95% CI, 4.9-7.5]; adjusted HR, 1.90 [95% CI, 1.69-2.14]), and CHD-related events (11.7/1000 person-years vs 7.0/1000 person-years; difference, 4.7/1000 person-years [95% CI, 3.7-5.8]; adjusted HR, 1.30 [95% CI, 1.18-1.42]). Conclusions and Relevance In a large, population-based sample of US adults, baseline PRISm, compared with normal spirometry, was associated with a small but statistically significant increased risk for mortality and adverse cardiovascular and respiratory outcomes. Further research is needed to explore whether this association is causal.
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Affiliation(s)
- Emily S. Wan
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, Massachusetts
- VA Boston Healthcare System, Boston, Massachusetts
| | | | - Joseph E. Schwartz
- Columbia University, New York, New York
- Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | | | | | | | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago
| | | | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle
| | | | | | - Stephanie J. London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | | | | | - Jason L. Sanders
- Division of Pulmonary and Critical Care, Brigham and Women’s Hospital, Boston, Massachusetts
| | | | | | - Sachin Yende
- University of Pittsburgh, Pittsburgh, Pennsylvania
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Ortega VE, Daya M, Szefler SJ, Bleecker ER, Chinchilli VM, Phipatanakul W, Mauger D, Martinez FD, Herrera-Luis E, Pino-Yanes M, Hawkins GA, Ampleford EJ, Kunselman SJ, Cox C, Bacharier LB, Cabana MD, Cardet JC, Castro M, Denlinger LC, Eng C, Fitzpatrick AM, Holguin F, Hu D, Jackson DJ, Jarjour N, Kraft M, Krishnan JA, Lazarus SC, Lemanske RF, Lima JJ, Lugogo N, Mak A, Moore WC, Naureckas ET, Peters SP, Pongracic JA, Sajuthi SP, Seibold MA, Smith LJ, Solway J, Sorkness CA, Wenzel S, White SR, Burchard EG, Barnes K, Meyers DA, Israel E, Wechsler ME. Pharmacogenetic studies of long-acting beta agonist and inhaled corticosteroid responsiveness in randomised controlled trials of individuals of African descent with asthma. THE LANCET. CHILD & ADOLESCENT HEALTH 2021; 5:862-872. [PMID: 34762840 PMCID: PMC8787857 DOI: 10.1016/s2352-4642(21)00268-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 08/13/2021] [Accepted: 08/17/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Pharmacogenetic studies in asthma cohorts, primarily made up of White people of European descent, have identified loci associated with response to inhaled beta agonists and corticosteroids (ICSs). Differences exist in how individuals from different ancestral backgrounds respond to long-acting beta agonist (LABA) and ICSs. Therefore, we sought to understand the pharmacogenetic mechanisms regulating therapeutic responsiveness in individuals of African descent. METHODS We did ancestry-based pharmacogenetic studies of children (aged 5-11 years) and adolescents and adults (aged 12-69 years) from the Best African Response to Drug (BARD) trials, in which participants with asthma uncontrolled with low-dose ICS (fluticasone propionate 50 μg in children, 100 μg in adolescents and adults) received different step-up combination therapies. The hierarchal composite outcome of pairwise superior responsiveness in BARD was based on asthma exacerbations, a 31-day difference in annualised asthma-control days, or a 5% difference in percentage predicted FEV1. We did whole-genome admixture mapping of 15 159 ancestral segments within 312 independent regions, stratified by the two age groups. The two co-primary outcome comparisons were the step up from low-dose ICS to the quintuple dose of ICS (5 × ICS: 250 μg twice daily in children and 500 μg twice daily in adolescents and adults) versus double dose (2-2·5 × ICS: 100 μg twice daily in children, 250 μg twice daily in adolescents and adults), and 5 × ICS versus 100 μg fluticasone plus a LABA (salmeterol 50 μg twice daily). We used a genome-wide significance threshold of p<1·6 × 10-4, and tested for replication using independent cohorts of individuals of African descent with asthma. FINDINGS We included 249 unrelated children and 267 unrelated adolescents and adults in the BARD pharmacogenetic analysis. In children, we identified a significant admixture mapping peak for superior responsiveness to 5 × ICS versus 100 μg fluticasone plus salmeterol on chromosome 12 (odds ratio [ORlocal African] 3·95, 95% CI 2·02-7·72, p=6·1 × 10-5) fine mapped to a locus adjacent to RNFT2 and NOS1 (rs73399224, ORallele dose 0·17, 95% CI 0·07-0·42, p=8·4 × 10-5). In adolescents and adults, we identified a peak for superior responsiveness to 5 × ICS versus 2·5 × ICS on chromosome 22 (ORlocal African 3·35, 1·98-5·67, p=6·8 × 10-6) containing a locus adjacent to TPST2 (rs5752429, ORallele dose 0·21, 0·09-0·52, p=5·7 × 10-4). We replicated rs5752429 and nominally replicated rs73399224 in independent African American cohorts. INTERPRETATION BARD is the first genome-wide pharmacogenetic study of LABA and ICS response in clinical trials of individuals of African descent to detect and replicate genome-wide significant loci. Admixture mapping of the composite BARD trial outcome enabled the identification of novel pharmacogenetic variation accounting for differential therapeutic responses in people of African descent with asthma. FUNDING National Institutes of Health, National Heart, Lung, and Blood Institute.
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Affiliation(s)
- Victor E Ortega
- Department of Internal Medicine, Section for Pulmonary, Critical Care, Allergy, and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Michelle Daya
- Department of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO, USA
| | - Stanley J Szefler
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Denver, CO, USA
| | - Eugene R Bleecker
- Department of Internal Medicine, Division of Genetics, Genomics, and Precision Medicine, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Vernon M Chinchilli
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Wanda Phipatanakul
- Division of Pediatric Allergy and Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Dave Mauger
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Fernando D Martinez
- Asthma and Airway Disease Research Center, University of Arizona Health Sciences, Tucson, AZ, USA
| | - Esther Herrera-Luis
- Department of Biochemistry, La Laguna, Tenerife, Spain; Microbiology, Cell Biology, and Genetics, La Laguna, Tenerife, Spain; Genomics and Health Group, La Laguna, Tenerife, Spain; Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - Maria Pino-Yanes
- Department of Biochemistry, La Laguna, Tenerife, Spain; Microbiology, Cell Biology, and Genetics, La Laguna, Tenerife, Spain; Genomics and Health Group, La Laguna, Tenerife, Spain; Universidad de La Laguna, La Laguna, Tenerife, Spain; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Gregory A Hawkins
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Elizabeth J Ampleford
- Department of Internal Medicine, Section for Pulmonary, Critical Care, Allergy, and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Susan J Kunselman
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Corey Cox
- Department of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO, USA
| | - Leonard B Bacharier
- Department of Pediatrics, Washington University School of Medicine, St Louis, MO, USA
| | - Michael D Cabana
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Juan Carlos Cardet
- Department of Internal Medicine, Division of Allergy and Immunology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Mario Castro
- Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Loren C Denlinger
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | | | - Fernando Holguin
- Department of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO, USA
| | - Donglei Hu
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Daniel J Jackson
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, USA
| | - Nizar Jarjour
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Monica Kraft
- Department of Internal Medicine, Division of Genetics, Genomics, and Precision Medicine, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Jerry A Krishnan
- Breathe Chicago Center, Division of Pulmonary, Critical Care, Sleep, and Allergy, University of Illinois, Chicago, IL, USA
| | - Stephen C Lazarus
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Robert F Lemanske
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, USA
| | - John J Lima
- Center for Pharmacogenomics and Translational Research, Nemours Children's Health System, Jacksonville, FL, USA
| | - Njira Lugogo
- Department of Medicine, Division of Pulmonary and Critical Care, University of Michigan, Ann Arbor, MI, USA
| | - Angel Mak
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Wendy C Moore
- Department of Internal Medicine, Section for Pulmonary, Critical Care, Allergy, and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Stephen P Peters
- Department of Internal Medicine, Section for Pulmonary, Critical Care, Allergy, and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jacqueline A Pongracic
- Department of Pediatrics, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Satria P Sajuthi
- Center for Genes, Environment, and Health, Department of Pediatrics, National Jewish Health, Denver, CO, USA
| | - Max A Seibold
- Department of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO, USA; Center for Genes, Environment, and Health, Department of Pediatrics, National Jewish Health, Denver, CO, USA
| | - Lewis J Smith
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Julian Solway
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Christine A Sorkness
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Sally Wenzel
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steven R White
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Esteban G Burchard
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kathleen Barnes
- Department of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO, USA
| | - Deborah A Meyers
- Department of Internal Medicine, Division of Genetics, Genomics, and Precision Medicine, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Elliot Israel
- Department of Pulmonary and Critical Care Medicine and Allergy and Immunology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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An Overview of Health Disparities in Asthma. THE YALE JOURNAL OF BIOLOGY AND MEDICINE 2021; 94:497-507. [PMID: 34602887 PMCID: PMC8461584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Asthma is a heterogeneous disease characterized by inflammation in the respiratory airways which manifests clinically with wheezing, cough, and episodic periods of chest tightness; if left untreated it can lead to permanent obstruction or death. In the US, asthma affects all ages and genders, and individuals from racial and ethnic minority groups are disproportionately burdened by this disease. The financial cost of asthma exceeds $81 billion every year and despite all the resources invested, asthma is responsible for over 3,500 deaths annually in the nation. In this overview, we highlight important factors associated with health disparities in asthma. While they are complex and overlap, we group these factors in five domains: biological, behavioral, socio-cultural, built environment, and health systems. We review the biological domain in detail, which traditionally has been best studied. We also acknowledge that implicit and explicit racism is an important contributor to asthma disparities and responsible for many of the socio-environmental factors that worsen outcomes in this disease.
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Gaffney AW, McCormick D, Woolhandler S, Christiani DC, Himmelstein DU. Prognostic implications of differences in forced vital capacity in black and white US adults: Findings from NHANES III with long-term mortality follow-up. EClinicalMedicine 2021; 39:101073. [PMID: 34458707 PMCID: PMC8379634 DOI: 10.1016/j.eclinm.2021.101073] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Because Forced Vital Capacity (FVC) is reduced in Black relative to White Americans of the same age, sex, and height, standard lung function prediction equations assign a lower "normal" range for Black patients. The prognostic implications of this race correction are uncertain. METHODS We analyzed 5,294 White and 3,743 Black participants age 20-80 in NHANES III, a nationally-representative US survey conducted 1988-94, which we linked to the National Death Index to assess mortality through December 31, 2015. We calculated the FVC-percent predicted among Black and White participants, first applying NHANES III White prediction equations to all persons, and then using standard race-specific prediction equations. We used Cox proportional hazard models to calculate the association between race and all-cause mortality without and with adjustment for FVC (using each FVC metric), smoking, socioeconomic factors, and comorbidities. FINDINGS Black participants' age- and sex-adjusted mortality was greater than White participants (HR 1.46; 95%CI:1.29, 1.65). With adjustment for FVC in liters (mean 3.7 L for Black participants, 4.3 L for White participants) or FVC percent-predicted using White equations for everyone, Black race was no longer independently predictive of higher mortality (HR∼1.0). When FVC-percent predicted was "corrected" for race, Black individuals again showed increased mortality hazard. Deaths attributed to chronic respiratory disease were infrequent for both Black and White individuals. INTERPRETATION Lower FVC in Black people is associated with elevated risk of all-cause mortality, challenging the standard assumption about race-based normal limits. Black-White disparities in FVC may reflect deleterious social/environmental exposures, not innate differences. FUNDING No funding.
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Affiliation(s)
- Adam W Gaffney
- Cambridge Health Alliance, Cambridge, USA
- Harvard Medical School, Boston, USA
| | - Danny McCormick
- Cambridge Health Alliance, Cambridge, USA
- Harvard Medical School, Boston, USA
| | - Steffie Woolhandler
- Cambridge Health Alliance, Cambridge, USA
- Harvard Medical School, Boston, USA
- City University of New York at Hunter College, New York, USA
| | - David C. Christiani
- Harvard Medical School, Boston, USA
- Harvard T.H. Chan School of Public Health, Boston, USA
| | - David U. Himmelstein
- Cambridge Health Alliance, Cambridge, USA
- Harvard Medical School, Boston, USA
- City University of New York at Hunter College, New York, USA
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Bhakta NR, Kaminsky DA, Bime C, Thakur N, Hall GL, McCormack MC, Stanojevic S. Addressing Race in Pulmonary Function Testing by Aligning Intent and Evidence With Practice and Perception. Chest 2021; 161:288-297. [PMID: 34437887 PMCID: PMC8783030 DOI: 10.1016/j.chest.2021.08.053] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/29/2021] [Accepted: 08/17/2021] [Indexed: 10/27/2022] Open
Abstract
The practice of using race or ethnicity in medicine to explain differences between individuals is being called into question because it may contribute to biased medical care and research that perpetuates health disparities and structural racism. A commonly cited example is the use of race or ethnicity in the interpretation of pulmonary function test (PFT) results, yet the perspectives of practicing pulmonologists and physiologists are missing from this discussion. This discussion has global relevance for increasingly multicultural communities in which the range of values that represent normal lung function is uncertain. We review the underlying sources of differences in lung function, including those that may be captured by race or ethnicity, and demonstrate how the current practice of PFT measurement and interpretation is imperfect in its ability to describe accurately the relationship between function and health outcomes. We summarize the arguments against using race-specific equations as well as address concerns about removing race from the interpretation of PFT results. Further, we outline knowledge gaps and critical questions that need to be answered to change the current approach of including race or ethnicity in PFT results interpretation thoughtfully. Finally, we propose changes in interpretation strategies and future research to reduce health disparities.
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Affiliation(s)
- Nirav R Bhakta
- University of California, San Francisco, San Francisco, CA.
| | | | - Christian Bime
- College of Medicine, The University of Arizona Health Science, Tucson, AZ
| | - Neeta Thakur
- University of California, San Francisco, San Francisco, CA; Zuckerberg San Francisco General Hospital, San Francisco, CA
| | - Graham L Hall
- Children's Lung Health, Wal-yan Respiratory Research Centre, Telethon Kids Institute and School of Allied Health, Curtin University, Perth, WA, Australia
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Delecaris AO, Averill SH, Krasinkiewicz J, Saunders JL, Ren CL. Pediatric pulmonology year in review 2020: Physiology. Pediatr Pulmonol 2021; 56:2444-2448. [PMID: 34043883 DOI: 10.1002/ppul.25504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/11/2021] [Accepted: 05/13/2021] [Indexed: 11/06/2022]
Abstract
Pulmonary physiology is a core element of pediatric pulmonology care and research. This article reviews some of the notable publications in physiology that were published in Pediatric Pulmonology in 2020.
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Affiliation(s)
- Angela O Delecaris
- Division of Pediatric Pulmonology, Allergy and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana, USA.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Samantha H Averill
- Division of Pediatric Pulmonology, Allergy and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana, USA.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jonathan Krasinkiewicz
- Division of Pediatric Pulmonology, Allergy and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana, USA.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jessica L Saunders
- Division of Pediatric Pulmonology, Allergy and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana, USA.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Clement L Ren
- Division of Pediatric Pulmonology, Allergy and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana, USA.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Mersha TB, Qin K, Beck AF, Ding L, Huang B, Kahn RS. Genetic ancestry differences in pediatric asthma readmission are mediated by socioenvironmental factors. J Allergy Clin Immunol 2021; 148:1210-1218.e4. [PMID: 34217757 DOI: 10.1016/j.jaci.2021.05.046] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 05/17/2021] [Accepted: 05/28/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Social and financial hardships, combined with disease managment and environmental factors explain approximately 80% of the observed disparity in asthma-related readmissions between Black and White children. OBJECTIVE We sought to determine whether asthma-related readmissions differed by degree of African ancestry and the extent to which such an association would also be explained by socioenvironmental risk factors. METHODS This study used data from a prospective cohort study of 695 Black and White children aged 1 to 16 years with an asthma-related admission. The primary outcome was a similar readmission within 12 months. Each subject's African ancestry was determined by single nucleotide polymorphisms on a continuous scale ranging from 0 to 1 (0 = no African ancestry; 1 = 100% African ancestry). We also assessed 37 social, environmental, and clinical variables that we clustered into 6 domains (for example, hardship, disease management). Survival and mediation analyses were conducted. RESULTS A total of 134 children (19.3%) were readmitted within 12 months. Higher African ancestry was associated with asthma readmission (odds ratio 1.11, 95% confidence interval 1.05-1.18 for every 10% increase in African ancestry) with adjustment for age and gender. The association between African ancestry and readmission was mediated by hardship (sβ = 3.42, P < .001) and disease management (sβ = 0.046, P = .001), accounting for >50% of African ancestry's effect on readmission. African ancestry was no longer significantly associated with readmission (sβ = 0.035, P = .388) after accounting for these mediators. CONCLUSIONS African ancestry was strongly associated with readmission, and the association was mediated by family hardship and disease management. These results are consistent with the notion that asthma-related racial disparities are driven by factors like structural racism and social adversity.
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Affiliation(s)
- Tesfaye B Mersha
- Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, College of Medicine, Cincinnati, Ohio.
| | - Ke Qin
- Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, College of Medicine, Cincinnati, Ohio
| | - Andrew F Beck
- Division of General and Community Pediatrics, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio; Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, College of Medicine, Cincinnati, Ohio
| | - Lili Ding
- Division of Biostatistics and Epidemiology, Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, College of Medicine, Cincinnati, Ohio
| | - Bin Huang
- Division of Biostatistics and Epidemiology, Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, College of Medicine, Cincinnati, Ohio
| | - Robert S Kahn
- Division of General and Community Pediatrics, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, College of Medicine, Cincinnati, Ohio
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McGarry ME, McColley SA. Cystic fibrosis patients of minority race and ethnicity less likely eligible for CFTR modulators based on CFTR genotype. Pediatr Pulmonol 2021; 56:1496-1503. [PMID: 33470563 PMCID: PMC8137541 DOI: 10.1002/ppul.25285] [Citation(s) in RCA: 99] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 12/21/2020] [Accepted: 12/31/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Cystic fibrosis transmembrane conductance regulator (CFTR) modulators are disease-modifying medications for cystic fibrosis (CF) and are shown to be efficacious for only specific CFTR mutations. CFTR mutation frequency varies by ancestry, which is different from but related to demographic racial and ethnic group. Eligibility for CFTR modulator therapy has not been previously reported by race and ethnicity. METHODS We conducted a cross-sectional study of patients in the 2018 CF Foundation Patient Registry. We analyzed the percentage of patients in each US Census defined racial and ethnic group eligible for CFTR modulators based on CFTR mutations approved by the US FDA and then based on both mutations and FDA approval by age. We compared lung function based on CFTR modulator eligibility and prescription. FINDINGS Based on CFTR mutations alone, 92.4% of non-Hispanic White patients, 69.7% of Black/African American patients, 75.6% of Hispanic patients, and 80.5% of other race patients eligible for CFTR modulators. For each CFTR modulator, Black/African American patients were least likely to have eligible mutations, and non-Hispanic White patients were most likely. There was no difference in the disparity between racial and/or ethnic groups with the addition of current FDA approval by age. The lowest pulmonary function in the cohort was seen in non-Hispanic White, Black/African American, and Hispanic patients not eligible for CFTR modulators. INTERPRETATION Patients with CF from minority groups are less likely to be eligible for CFTR modulators. Because people with CF who are racial and ethnic minorities have increased disease severity and earlier mortality, this will further contribute to health disparities.
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Affiliation(s)
- Meghan E McGarry
- Department of Pediatrics, University of California, San Francisco, California, USA
| | - Susanna A McColley
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Pediatrics, Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
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Ung L, Agarwala AV, Chodosh J. Achieving Racial Equity Within Medical Institutions: An Appeal for Action. Mayo Clin Proc 2021; 96:1401-1403. [PMID: 34088412 DOI: 10.1016/j.mayocp.2021.02.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 01/18/2021] [Accepted: 02/22/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Lawson Ung
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA; Infectious Disease Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Aalok V Agarwala
- Department of Anesthesiology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA
| | - James Chodosh
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA; Infectious Disease Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA.
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Goddard PC, Keys KL, Mak ACY, Lee EY, Liu AK, Samedy-Bates LA, Risse-Adams O, Contreras MG, Elhawary JR, Hu D, Huntsman S, Oh SS, Salazar S, Eng C, Himes BE, White MJ, Burchard EG. Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function. Genet Epidemiol 2021; 45:190-208. [PMID: 32989782 PMCID: PMC7902343 DOI: 10.1002/gepi.22365] [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: 05/06/2020] [Revised: 08/21/2020] [Accepted: 09/14/2020] [Indexed: 11/06/2022]
Abstract
Bronchodilator (BD) drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of BD medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung function measures taken before BD medication have been extensively studied, and the genetics of the BD response itself have received some attention. However, few studies have focused on the genetics of post-BD lung function. To address this gap, we analyzed lung function phenotypes in 1103 subjects from the Study of African Americans, Asthma, Genes, and Environment, a pediatric asthma case-control cohort, using an integrative genomic analysis approach that combined genotype, locus-specific genetic ancestry, and functional annotation information. We integrated genome-wide association study (GWAS) results with an admixture mapping scan of three pulmonary function tests (forced expiratory volume in 1 s [FEV1 ], forced vital capacity [FVC], and FEV1 /FVC) taken before and after albuterol BD administration on the same subjects, yielding six traits. We identified 18 GWAS loci, and five additional loci from admixture mapping, spanning several known and novel lung function candidate genes. Most loci identified via admixture mapping exhibited wide variation in minor allele frequency across genotyped global populations. Functional fine-mapping revealed an enrichment of epigenetic annotations from peripheral blood mononuclear cells, fetal lung tissue, and lung fibroblasts. Our results point to three novel potential genetic drivers of pre- and post-BD lung function: ADAMTS1, RAD54B, and EGLN3.
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Affiliation(s)
- Pagé C. Goddard
- Department of Genetics, Stanford University, Stanford, California, USA
- Department of Medicine, University of California, San Francisco, California, USA
| | - Kevin L. Keys
- Department of Medicine, University of California, San Francisco, California, USA
- Berkeley Institute for Data Science, University of California, Berkeley, California, USA
| | - Angel C. Y. Mak
- Department of Medicine, University of California, San Francisco, California, USA
| | - Eunice Y. Lee
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
| | - Amy K. Liu
- Department of Neurology, University of California, San Francisco, California, USA
| | - Lesly-Anne Samedy-Bates
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
| | - Oona Risse-Adams
- Department of Medicine, University of California, San Francisco, California, USA
- Department of Biology, University of California, Santa Cruz, California, USA
| | - María G. Contreras
- Department of Medicine, University of California, San Francisco, California, USA
- Department of Biology, San Francisco State University, San Francisco, California, USA
| | - Jennifer R. Elhawary
- Department of Medicine, University of California, San Francisco, California, USA
| | - Donglei Hu
- Department of Medicine, University of California, San Francisco, California, USA
| | - Scott Huntsman
- Department of Medicine, University of California, San Francisco, California, USA
| | - Sam S. Oh
- Department of Medicine, University of California, San Francisco, California, USA
| | - Sandra Salazar
- Department of Medicine, University of California, San Francisco, California, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, California, USA
| | - Blanca E. Himes
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Marquitta J. White
- Department of Medicine, University of California, San Francisco, California, USA
| | - Esteban G. Burchard
- Department of Medicine, University of California, San Francisco, California, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
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Ahmed S, Nutt CT, Eneanya ND, Reese PP, Sivashanker K, Morse M, Sequist T, Mendu ML. Examining the Potential Impact of Race Multiplier Utilization in Estimated Glomerular Filtration Rate Calculation on African-American Care Outcomes. J Gen Intern Med 2021; 36:464-471. [PMID: 33063202 PMCID: PMC7878608 DOI: 10.1007/s11606-020-06280-5] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 09/28/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Advancing health equity entails reducing disparities in care. African-American patients with chronic kidney disease (CKD) have poorer outcomes, including dialysis access placement and transplantation. Estimated glomerular filtration rate (eGFR) equations, which assign higher eGFR values to African-American patients, may be a mechanism for inequitable outcomes. Electronic health record-based registries enable population-based examination of care across racial groups. OBJECTIVE To examine the impact of the race multiplier for African-Americans in the CKD-EPI eGFR equation on CKD classification and care delivery. DESIGN Cross-sectional study SETTING: Two large academic medical centers and affiliated community primary care and specialty practices. PARTICIPANTS A total of 56,845 patients in the Partners HealthCare System CKD registry in June 2019, among whom 2225 (3.9%) were African-American. MEASUREMENTS Exposures included race, age, sex, comorbidities, and eGFR. Outcomes were transplant referral and dialysis access placement. RESULTS Of 2225 African-American patients, 743 (33.4%) would hypothetically be reclassified to a more severe CKD stage if the race multiplier were removed from the CKD-EPI equation. Similarly, 167 of 687 (24.3%) would be reclassified from stage 3B to stage 4. Finally, 64 of 2069 patients (3.1%) would be reassigned from eGFR > 20 ml/min/1.73 m2 to eGFR ≤ 20 ml/min/1.73 m2, meeting the criterion for accumulating kidney transplant priority. Zero of 64 African-American patients with an eGFR ≤ 20 ml/min/1.73 m2 after the race multiplier was removed were referred, evaluated, or waitlisted for kidney transplant, compared to 19.2% of African-American patients with eGFR ≤ 20 ml/min/1.73 m2 with the default CKD-EPI equation. LIMITATIONS Single healthcare system in the Northeastern United States and relatively small African-American patient cohort may limit generalizability. CONCLUSIONS Our study reveals a meaningful impact of race-adjusted eGFR on the care provided to the African-American CKD patient population.
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Affiliation(s)
- Salman Ahmed
- Division of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Cameron T Nutt
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Nwamaka D Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter P Reese
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Karthik Sivashanker
- Department of Diversity, Inclusion, and Experience, Brigham and Women's Hospital, Boston, MA, USA
- Department of Quality and Safety, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michelle Morse
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- EqualHealth, Tabarre, Haiti
- EqualHealth, Brookline, MA, USA
| | - Thomas Sequist
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Quality, Patient Experience and Equity, Partners HealthCare, Boston, MA, USA
| | - Mallika L Mendu
- Division of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Quality and Safety, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Population Health, Partners HealthCare, Boston, MA, USA
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Brown LL, Zhang YS, Mitchell U. Black Older Adults in the Age of Biomarkers, Physical Functioning, and Genomics: Heterogeneity, Community Engagement, and Bioethics. ANNUAL REVIEW OF GERONTOLOGY & GERIATRICS 2021; 41:183-210. [PMID: 37008388 PMCID: PMC10065475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
There are persistent disparities in all-cause mortality between Blacks and Whites in the United States. Black Americans also carry the greatest burden of morbidity from different diseases of aging including heart disease, stroke, hypertension, type 2 diabetes, and certain types of cancer. Health disparities research, and particularly race/ethnic comparison studies of physical health and aging, have consistently positioned Black health in frameworks of disadvantage, suggesting that regardless of the outcome, Black people are in worse states of health and well-being relative to Whites. Yet, extensive evidence suggests that there is significant within-group variability in the aging process among Black older adults. The use of biological, physical performance, and genomic data in survey settings offer new tools and insights to interrogate heterogeneity in Black health. This chapter examines indicators of biological, physical performance, and genetic markers of aging among a national sample of Black Americans ages 54+ years with the aim of addressing two questions about heterogeneity among Black older adults: (a) How do these measures vary by age and gender among Black older adults? (b) Which indicators predict health and mortality among Black older adults? The results indicate that biological, physical performance, and genomic measures of health, generally, have more variation than simple yes or no measures of a disease, condition, or diagnosis among Black older adults, providing counternarratives to the disadvantage frameworks that dominate characterizations of Black health and aging. However, bioethical challenges limit the utility of biomarkers, physical performance, and genomics measures for Black populations.
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48
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Seedahmed MI, Baugh AD, Kempker JA. Higher serum vitamin D levels are associated with decreased odds of obstructive lung disease in the general population: an NHANES analysis (2007-2008 to 2009-2010). BMJ Open Respir Res 2020; 7:7/1/e000798. [PMID: 33384287 PMCID: PMC7780517 DOI: 10.1136/bmjresp-2020-000798] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 12/13/2020] [Accepted: 12/14/2020] [Indexed: 11/09/2022] Open
Abstract
Background Obstructive lung disease is a significant cause of morbidity and healthcare burden within the USA. A growing body of evidence has suggested that vitamin D levels can influence the course or incidence of obstructive lung disease. However, there is an insufficient previous investigation of this association. Study design and methods We used the National Health and Nutrition Examination Survey (NHANES) cycles 2007–2008 and 2009–2010 spirometry results of individuals aged 40 years and older to assess the association between serum 25-hydroxyvitamin D levels and obstructive lung disease, as defined by the American Thoracic Society using the lower limit of normal. We used stage multivariate survey-logistic regression. Results The final model included age, gender, body mass index, pack-years smoking history, season, income-to-poverty ratio and race/ethnicity. In the primary analysis using vitamin D as a continuous variable, there was no association between vitamin D levels and obstructive lung disease. We noted a trend between ‘other Hispanic’ self-identified race and serum vitamin D levels wherein higher levels were associated with higher odds of obstructive lung disease in this ethnicity, but not among other racial or ethnic groups (OR (95% CI)=1.40 (0.98 to 1.99), p=0.06). In a secondary analysis, when vitamin D was measured as a categorical variable, there was a significant association between the highest levels of serum vitamin D levels and lesser odds of obstructive lung disease (OR (95% CI)=0.77 [0.61 to 0.98], p=0.04). Conclusions Higher serum vitamin D levels among adults are associated with decreased odds of obstructive lung disease in the general population. Results among non-Mexican Hispanic participants highlight the need for further research in minority populations. More work is needed to address the course and incidence of lung disease in the USA.
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Affiliation(s)
| | - Aaron D Baugh
- Pulmonary, University of California San Francisco, San Francisco, California, USA
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49
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Heraganahally SS, Howarth T, White E, Sorger L, Biancardi E, Ben Saad H. Lung function parameters among Australian Aboriginal 'apparently healthy' adults: an Australian Caucasian and Global Lung Function Initiative (GLI-2012) various ethnic norms comparative study. Expert Rev Respir Med 2020; 15:833-843. [PMID: 33166208 DOI: 10.1080/17476348.2021.1847649] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: There is sparse literature evidence evaluating the applicability of the GLI-2012 spirometric norms for Australian Aboriginal adults.Methods: Lung function parameters (LFPs) were compared between Australian Aboriginal and Australian Caucasians, and the fit of Australian Aboriginals LFPs with various ethnic GLI equations was tested.Results: Of 1350 and 5634 Pulmonary function tests (PFTs) in Australian Aboriginal and Australian Caucasian adults, 153 and 208 PFTs matched for anthropometrics and normal chest radiology, respectively. Absolute FVC and FEV1 values were 20% lower in Australian Aboriginals compared to Australian Caucasians. Differences remained significant after accounting for age, sex, height, weight and smoking status in multivariate regression (FVC -0.84 L (-0.98, -0.71), FEV1 - 0.72 L (-0.84, -0.59), but with nearly preserved FEV1/FVC. GLI-2012 transformation resulted in z-scores significantly below zero for each of FVC, FEV1 and FEV1/FVC with z-scores ranging from -4.52 (-4.87, -4.16) for North East Asian FVC transformation for males, to -0.34 (-0.73, 0.05) for Black FVC transformation for females.Conclusions: Australian Aboriginal adults had 20% lower values for FVC and FEV1 but nearly preserved absolute FEV1/FVC in comparison to Australian Caucasians. The GLI-2012 spirometric norms do not appear to fit for Australian Aboriginal adults regardless of which ethnicity options selected, including 'others/mixed'.
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Affiliation(s)
- Subash S Heraganahally
- Department of Respiratory and Sleep Medicine, Royal Darwin Hospital, Darwin, Australia.,College of Medicine and Public Health, Flinders University, Adelaide, Australia.,Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, Australia
| | - Timothy Howarth
- Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, Australia.,College of Health and Human Sciences, Charles Darwin University, Darwin, Australia
| | - Elisha White
- Department of Respiratory and Sleep Medicine, Royal Darwin Hospital, Darwin, Australia
| | - Lisa Sorger
- Department of Medical Imaging, Royal Darwin Hospital, Darwin, Australia
| | - Edwina Biancardi
- Department of Respiratory and Sleep Medicine, Royal Darwin Hospital, Darwin, Australia
| | - Helmi Ben Saad
- Faculté de Médecine de Sousse, Laboratoire de Physiologie, Université de Sousse, Sousse, Tunisia.,Department of Physiology and Functional Exploration, Farhat HACHED Hospital of Sousse, Sousse, Tunisia.,Heart Failure Research Laboratory (LR12SP09), Farhat HACHED Hospital, Sousse, Tunisia
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50
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Lee EY, Mak ACY, Hu D, Sajuthi S, White MJ, Keys KL, Eckalbar W, Bonser L, Huntsman S, Urbanek C, Eng C, Jain D, Abecasis G, Kang HM, Germer S, Zody MC, Nickerson DA, Erle D, Ziv E, Rodriguez-Santana J, Seibold MA, Burchard EG. Whole-Genome Sequencing Identifies Novel Functional Loci Associated with Lung Function in Puerto Rican Youth. Am J Respir Crit Care Med 2020; 202:962-972. [PMID: 32459537 PMCID: PMC7528787 DOI: 10.1164/rccm.202002-0351oc] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 05/27/2020] [Indexed: 12/22/2022] Open
Abstract
Rationale: Puerto Ricans have the highest childhood asthma prevalence in the United States (23.6%); however, the etiology is uncertain.Objectives: In this study, we sought to uncover the genetic architecture of lung function in Puerto Rican youth with and without asthma who were recruited from the island (n = 836).Methods: We used admixture-mapping and whole-genome sequencing data to discover genomic regions associated with lung function. Functional roles of the prioritized candidate SNPs were examined with chromatin immunoprecipitation sequencing, RNA sequencing, and expression quantitative trait loci data.Measurements and Main Results: We discovered a genomic region at 1q32 that was significantly associated with a 0.12-L decrease in the lung volume of exhaled air (95% confidence interval, -0.17 to -0.07; P = 6.62 × 10-8) with each allele of African ancestry. Within this region, two SNPs were expression quantitative trait loci of TMEM9 in nasal airway epithelial cells and MROH3P in esophagus mucosa. The minor alleles of these SNPs were associated with significantly decreased lung function and decreased TMEM9 gene expression. Another admixture-mapping peak was observed on chromosome 5q35.1, indicating that each Native American ancestry allele was associated with a 0.15-L increase in lung function (95% confidence interval, 0.08-0.21; P = 5.03 × 10-6). The region-based association tests identified four suggestive windows that harbored candidate rare variants associated with lung function.Conclusions: We identified common and rare genetic variants that may play a critical role in lung function among Puerto Rican youth. We independently validated an inflammatory pathway that could potentially be used to develop more targeted treatments and interventions for patients with asthma.
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Affiliation(s)
- Eunice Y. Lee
- Department of Bioengineering and Therapeutic Sciences and
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Angel C. Y. Mak
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Donglei Hu
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Satria Sajuthi
- Department of Pediatrics, Center for Genes, Environment, and Health, and
| | - Marquitta J. White
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Kevin L. Keys
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | - Luke Bonser
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Scott Huntsman
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Cydney Urbanek
- Department of Pediatrics, Center for Genes, Environment, and Health, and
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | - Gonçalo Abecasis
- Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan
- Regeneron Pharmaceuticals, Tarrytown, New York
| | - Hyun M. Kang
- Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan
| | | | | | - Deborah A. Nickerson
- Department of Genome Sciences, University of Washington, Seattle, Washington
- Northwest Genomics Center, Seattle, Washington
- Brotman Baty Institute, Seattle, Washington
| | - David Erle
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Elad Ziv
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | - Max A. Seibold
- Department of Pediatrics, Center for Genes, Environment, and Health, and
- Department of Pediatrics, National Jewish Health, Denver, Colorado
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado–Anschutz Medical Campus, Aurora, Colorado
| | - Esteban G. Burchard
- Department of Bioengineering and Therapeutic Sciences and
- Department of Medicine, University of California, San Francisco, San Francisco, California
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