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Moitra S, Mitra R, Moitra S. Comparison of race-specific and race-neutral GLI spirometric reference equations with an Indian reference equation. Respir Med 2024; 232:107764. [PMID: 39134159 DOI: 10.1016/j.rmed.2024.107764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/29/2024] [Accepted: 08/08/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Despite the increasing popularity and use of Global Lung Function Initiative (GLI) spirometric reference equations, the appropriateness of the race-specific and race-neutral GLI spirometric reference models among the Indian population has not been systematically investigated. METHODS In this cross-sectional analysis, we used spirometric measurements of 1123 healthy Indian adults (≥18 years of age). We computed reference values and z-scores for forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), and FEV1/FVC from race-specific and race-neutral GLI reference equations as well as from a widely used Indian reference equation. We studied heterogeneity between GLI equations and the Indian equations using Bland-Altman analysis, and the differences between the reference and observed values were compared using the Friedman test. RESULTS In Bland-Altman analysis, significant heterogeneity in FVC and FEV1 between race-specific and Indian equations was observed (bias: 10.4 % and 14.1 %, respectively), with less bias for FEV1/FVC (3.76 %). The race-neutral equations showed almost similar bias (9.8 %, 13.8 %, and 3.8 % for FVC, FEV1, and FEV1/FVC, respectively). Median differences in race-specific reference values from observed values for FVC and FEV1 were 0.49L and 0.44L, respectively, decreasing slightly with race-neutral equations (0.46L and 0.43L) whereas Indian models showed minimal differences (FVC: 0.10L, FEV1: 0.05L). Z-scores for FVC and FEV1 were significantly different between race-specific and race-neutral GLI equations, and both differed from Indian equations. CONCLUSION Both race-specific and race-neutral GLI reference equations are significantly different from the Indian equations, which underscores the importance of determining the suitability of global reference models before being used indiscriminately.
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Affiliation(s)
- Subhabrata Moitra
- Bagchi School of Public Health, Ahmedabad University, Ahmedabad, India.
| | - Ritabrata Mitra
- Deaprtment of Pulmonary Medicine, Institute of Post Graduate Medical Education & Research (IPGME & R) and SSKM Hospital, Kolkata, India
| | - Saibal Moitra
- Division of Allergy and Immunology, Apollo Multispecialty Hospital, Kolkata, India; Department of Pneumology, Allergy & Asthma Research Centre, Kolkata, India
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Spece LJ, Hee Wai T, Donovan LM, Duan KI, Plumley R, Crothers KA, Thakur N, Baugh A, Hayes S, Picazo F, Feemster LC, Au DH. The Impact of Changing Race-Specific Equations for Lung Function Tests among Veterans with Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc 2024; 21:1272-1280. [PMID: 38820262 DOI: 10.1513/annalsats.202312-1020oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/29/2024] [Indexed: 06/02/2024] Open
Abstract
Rationale: The American Thoracic Society recommended a single reference equation for spirometry, but the impact on patients is not known. Objectives: To estimate the effect of changing to a single reference equation among veterans with chronic obstructive pulmonary disease (COPD). Methods: A cross-sectional study was conducted including veterans aged ⩾40 to ⩽89 years with COPD and spirometry results from 21 facilities between 2010 and 2019. We collected race and ethnicity data from the electronic health record. We estimated the percentage change in the number of veterans with lung function meeting clinical thresholds used to determine eligibility for lung resection for cancer, lung volume reduction surgery (LVRS), and lung transplantation referral. We estimated the change for each level of U.S. Department of Veterans Affairs service connection and financial impact. Results: We identified 44,892 veterans (Asian, 0.5%; Black, 11.8%; White, 80.8%; and Hispanic, 1.8%). When changing to a single reference equation, Asian and Black veterans had reduced predicted lung function that could result in less surgical lung resection (4.4% and 11.1%, respectively) while increasing LVRS (1.7% and 3.8%) and lung transplantation evaluation for Black veterans (1.2%). White veterans had increased predicted lung function and could experience increased lung resection (8.1%), with less LVRS (3.3%) and lung transplantation evaluation (0.9%). Some Asian and Black veterans could experience increases in monthly disability payments (+$540.38 and +$398.38), whereas White veterans could see a decrease (-$588.79). When aggregated, Hispanic veterans experienced changes attributable to their racial identity and, because this sample was predominantly Hispanic White, had similar results to White veterans. Conclusions: Changing the reference equation could affect access to treatment and disability benefits, depending on race. If adopted, the use of discrete clinical thresholds needs to be reassessed, considering patient-centered outcomes.
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Affiliation(s)
- Laura J Spece
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Travis Hee Wai
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
| | - Lucas M Donovan
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Kevin I Duan
- Department of Medicine, University of Washington, Seattle, Washington
- Division of Respiratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada; and
| | - Robert Plumley
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
| | - Kristina A Crothers
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Neeta Thakur
- Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California
| | - Aaron Baugh
- Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California
| | - Sophia Hayes
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Fernando Picazo
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Laura C Feemster
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - David H Au
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
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Kaminsky DA, Anekonda VT, Verbanck S, Graham BL. Using the phase III slope of exhaled methane during a single breath D LCO test to assess ventilation heterogeneity. Respir Med 2024; 231:107725. [PMID: 38950682 DOI: 10.1016/j.rmed.2024.107725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 06/18/2024] [Accepted: 06/28/2024] [Indexed: 07/03/2024]
Abstract
BACKGROUND The Phase III slope from a single breath nitrogen washout test provides information about ventilation heterogeneity (VH) in the lungs. PURPOSE To determine if the Phase III slope from the exhaled tracer gas concentration during a standard, single breath DLCO test using rapid gas analysis provides similar information about VH. BASIC PROCEDURES Retrospective analysis of clinical pulmonary function laboratory data including spirometry, lung volumes, and DLCO. The normalized Phase III slope from the exhaled CH4 concentration (SnCH4) was compared among different patterns of physiologic abnormality and with VA/TLC as an indicator of VH. MAIN FINDINGS SnCH4 was the steepest in the group with "Obstruction and Low DLCO", with significant differences between this group and the "Normal", "Obstruction with Normal DLCO", "Mixed Obstruction and Restriction" and "Isolated Low DLCO" groups. SnCH4 was steeper in current and former smokers compared to non-smokers. Among the entire study sample, SnCH4 correlated with VA/TLC (Spearman rho = -0.56, p < 0.01) and remained a significant determinant of VA/TLC by regression modeling. PRINCIPAL CONCLUSIONS The SnCH4 derived from a standard, single breath DLCO test using rapid gas analysis varied among distinct patterns of physiologic abnormalities and was associated with VA/TLC as a measure of VH.
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Affiliation(s)
- David A Kaminsky
- Pulmonary and Critical Care, University of Vermont Larner College of Medicine, Given D213, 89 Beaumont Avenue, Burlington, VT, 05405, USA.
| | - Vishwanath T Anekonda
- Department of General Medicine, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
| | - Sylvia Verbanck
- Respiratory Division, Vrije Universiteit Brussel, Brussels, Belgium.
| | - Brian L Graham
- Emeritus Division of Respirology, Critical Care and Sleep Medicine University of Saskatchewan Saskatoon, SK, Canada.
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Cestelli L, Stavem K, Johannessen A, Gulsvik A, Nielsen R. Outcome-based Definition of the Lower Limit of Normal in Spirometry: A Study of 26,000 Young Adult Men. Ann Am Thorac Soc 2024; 21:1261-1271. [PMID: 38656819 DOI: 10.1513/annalsats.202312-1027oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/22/2024] [Indexed: 04/26/2024] Open
Abstract
Rationale: The definition of the lower limit of normal (LLN) of spirometric variables is not well established. Objectives: To investigate the relationship between spirometric abnormalities defined with different thresholds of the LLN and clinical outcomes and to explore the possibility of using different LLN thresholds according to the pretest probability of disease. Methods: We studied the associations between prebronchodilator spirometric abnormalities (forced expiratory volume in the first second [FEV1] < LLN, forced vital capacity [FVC] < LLN, airflow obstruction, spirometric restriction) defined with different thresholds of the LLN (10th, 5th, 2.5th, 1st percentile) and multiple outcomes (prevalence of spirometric abnormalities, respiratory symptoms, all-cause and respiratory mortality) in 26,091 30- to 46-year-old men who participated in a general population survey in Norway in 1988-1990 and were followed for 26 years. Analyses were performed with both local and Global Lung Function Initiative (GLI)-2012 reference equations, stratified by pretest risk (presence or absence of respiratory symptoms), and adjusted for age, body mass index, smoking, and education. Results: In the total population, the prevalence of airflow obstruction was 11.6% with GLI-LLN10, 11.0% with Local-LLN5, 6.1% with GLI-LLN5, 7.6% with Local-LLN2.5, and 3.5% with GLI-LLN2.5. The prevalence of spirometric restriction was 5.9% with GLI-LLN10, 5.2% with Local-LLN5, and 2.8% with GLI-LLN5. Increasingly lower thresholds of the LLN were associated with increasingly higher odds of respiratory symptoms and hazard of mortality for all spirometric abnormalities with both reference equations. Spirometric abnormalities defined with Local-LLN2.5 in asymptomatic subjects were associated with lower hazard of all-cause mortality (hazard ratio [HR], 1.50; 95% confidence interval [CI], 1.15-1.95 for FEV1 < LLN) than those defined with Local-LLN5 in the general population (HR, 1.67; 95% CI, 1.50-1.87 for FEV1 < LLN) and symptomatic subjects (HR, 1.67; 95% CI, 1.46-1.91 for FEV1 < LLN). Overall, the prevalence of spirometric abnormalities and associations with outcomes obtained with Local-LLN5 were comparable to those obtained with GLI-LLN10 and those obtained with Local-LLN2.5 to GLI-LLN5. Conclusions: There is a relationship between statistically based thresholds of the LLN of spirometric variables and clinical outcomes. Different thresholds of the LLN may be used in different risk subgroups of subjects, but the choice of the threshold needs to be evaluated together with the choice of reference equations.
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Affiliation(s)
| | - Knut Stavem
- Pulmonary Department and
- Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; and
| | - Ane Johannessen
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | | | - Rune Nielsen
- Department of Clinical Science and
- Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway
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Zheng Y, Liu W, Zhu X, Xu M, Lin B, Bai Y. Associations of dietary inflammation index and composite dietary antioxidant index with preserved ratio impaired spirometry in US adults and the mediating roles of triglyceride-glucose index: NHANES 2007-2012. Redox Biol 2024; 76:103334. [PMID: 39217849 DOI: 10.1016/j.redox.2024.103334] [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: 07/23/2024] [Revised: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Previous studies have shown that inflammatory and antioxidant dietary patterns can modify the risk of COPD, yet few studies have examined the association of these diets with its early signs (PRISm), and the potential role of metabolic disorders remains to be elucidated. METHODS Data from 9529 individuals who participated in the 2007-2012 National Health and Nutrition Examination Survey (NHANES) were analyzed. The Dietary Inflammation Index (DII) and the Dietary Antioxidant Composite Index (CDAI) were assessed using 24-h dietary recall, multiple metabolic indicators were calculated according to biochemical markers, and lung function parameters defined PRISm cases. Individual and joint effects of DII and CDAI were evaluated by generalized linear models and binary logistic regression models, and mediation effects of metabolic indicators were further explored by causal mediation analysis. RESULTS Increased DII was associated with decreased lung function (FEV1: β = -18.82, FVC: β = -29.2; OR = 1.04) and increased metabolic indicators (β = 0.316, 0.036, 0.916, 0.033, and 0.145 on MAP, UA, TC, TyG, and MS, respectively). Contrary to this, CDAI were positively and negatively associated with lung function (FEV1: β = 3.42; FVC: β = 4.91; PRISm: OR = 0.99) and metabolic indicators (β < 0), respectively. Joint effects of DII and CDAI indicated the minimal hazard effects of DII on TyG (β = -0.11), FEV1 (β = 72.62), FVC (β = 122.27), and PRISm (OR = 0.79) in subjects with high CDAI when compared with those with low CDAI (low DII + high CDAI vs. high DII + low CDAI). Furthermore, TyG mediated 13.74 %, 8.29 %, and 21.70 % of DII- and 37.30 %, 20.90 %, and 12.32 % of CDAI-FEV1, -FVC, and -PRISm associations, respectively. CONCLUSIONS These findings indicated that CDAI can attenuate the adverse effects of DII on metabolic disorders and lung function decline, which provides new insight for diet modification in preventing early lung dysfunction.
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Affiliation(s)
- Yuyu Zheng
- School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China
| | - Wanlu Liu
- School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China
| | - Xinyu Zhu
- School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China
| | - Mengya Xu
- School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China
| | - Baihao Lin
- School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China
| | - Yansen Bai
- School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China.
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Kazmerski TM, Stransky OM, Lee M, Prangley KA, Jain R, Georgiopoulos AM, Shaw DS, Taylor-Cousar J. Assessing the health impacts of parenthood on people with cystic fibrosis: the HOPeCF prospective cohort protocol. BMJ Open Respir Res 2024; 11:e002383. [PMID: 39209351 PMCID: PMC11367319 DOI: 10.1136/bmjresp-2024-002383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024] Open
Abstract
INTRODUCTION People with cystic fibrosis (CF) are living longer and healthier lives with a growing number considering and pursuing parenthood. The decision of whether to become a parent is complex for people with CF, and CF is a major factor in reproductive decision-making. Unfortunately, in people with CF who become parents, there are no prospective studies of disease trajectory, no data on the impact of parenthood on mental health, disease self-management, or quality of life, and no research regarding non-genetic parenthood. METHODS AND ANALYSIS Health Outcomes of Parents with CF (HOPeCF) is a prospective, multicentre observational cohort study which will enrol 146 new parents with CF of children less than 5 years of age. The primary aim of this 60-month study is to assess the rate of lung function decline as impacted by mental health, parental stress and responsibility, and the use of CF transmembrane conductance regulator modulators. In addition, we will conduct dyadic interviews with a subset of study participants and their key supports (partner/family/friend) to inform future interventions. ETHICS AND DISSEMINATION This longitudinal, observational multicentre study is a necessary and timely step in understanding parental health outcomes in CF and will provide data essential for care guidance to people with CF, their partners, and healthcare providers. The University of Pittsburgh Institutional Review Board approved this study (STUDY23080161). As people with a variety of paediatric-onset chronic diseases are living longer and considering parenthood, these results may have widespread applicability and will be distributed at international meetings and submitted to peer-reviewed journals.
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Affiliation(s)
- Traci M Kazmerski
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Center for Innovative Research on Gender Health Equity (CONVERGE), University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Olivia M Stransky
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Center for Innovative Research on Gender Health Equity (CONVERGE), University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - MinJae Lee
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kelly A Prangley
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Center for Innovative Research on Gender Health Equity (CONVERGE), University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Raksha Jain
- Department of Medicine, University of Texas Southwestern, Dallas, Texas, USA
| | - Anna M Georgiopoulos
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Daniel S Shaw
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Choi JY, Rhee CK. It is high time to discard a cut-off of 0.70 in the diagnosis of COPD. Expert Rev Respir Med 2024:1-11. [PMID: 39189795 DOI: 10.1080/17476348.2024.2397480] [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: 01/10/2024] [Accepted: 08/23/2024] [Indexed: 08/28/2024]
Abstract
INTRODUCTION Chronic obstructive pulmonary disease (COPD) has traditionally been diagnosed based on the criterion of an FEV1/FVC <0.70. However, this definition has limitations as it may only detect patients with later-stage disease, when pathologic changes have become irreversible. Consequently, it potentially omits individuals with early-stage disease, in whom the pathologic changes could be delayed or reversed. AREAS COVERED This narrative review summarizes recent evidence regarding early-stage COPD, which may not fulfill the spirometric criteria but nonetheless exhibits features of COPD or is at risk of future COPD progression. EXPERT OPINION A comprehensive approach, including symptoms assessment, various physiologic tests, and radiologic features, is required to diagnose COPD. This approach is necessary to identify currently underdiagnosed patients and to halt disease progression in at- risk patients.
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Affiliation(s)
- Joon Young Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chin Kook Rhee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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Ferguson ON, Mitchell RA, Schaeffer MR, Ramsook AH, Boyle KGPJM, Dhillon SS, Zhang J, Hind AS, Jensen D, Guenette JA. Physiological Factors Associated with Unsatisfied Inspiration at Peak Exercise in Healthy Adults. Med Sci Sports Exerc 2024; 56:1488-1494. [PMID: 38547388 DOI: 10.1249/mss.0000000000003437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
INTRODUCTION Contrary to common belief, a growing body of evidence suggests that unsatisfied inspiration (UI), an inherently uncomfortable quality of dyspnea, is experienced by ostensibly healthy adults during high-intensity exercise. Based on our understanding of the mechanisms of UI among people with chronic respiratory conditions, this analysis tested the hypothesis that the experience of UI at peak exercise in young, healthy adults reflects the combination of high ventilatory demand and critical inspiratory constraints. METHODS In a retrospective analysis design, data included 321 healthy individuals (129 females) aged 25 ± 5 yr. Data were collected during one visit to the laboratory, which included anthropometrics, spirometry, and an incremental cardiopulmonary cycling test to exhaustion. Metabolic and cardiorespiratory variables were measured at peak exercise, and qualitative descriptors of dyspnea at peak exercise were assessed using a list of 15 descriptor phrases. RESULTS Thirty-four percent of participants ( n = 109) reported sensations of UI at peak exercise. Compared with the non-UI group, the UI group achieved a significantly higher peak work rate (243 ± 77 vs 235 ± 69 W, P = 0.016, d = 0.10), rate of O 2 consumption (3.32 ± 1.02 vs 3.27 ± 0.96 L·min -1 , P = 0.018, d = 0.05), minute ventilation (120 ± 38 vs 116 ± 35 L·min -1 , P = 0.047, d = 0.11), and breathing frequency (50 ± 9 vs 47 ± 9 breaths per minute, P = 0.014, d = 0.33), while having a lower exercise-induced change (peak-baseline) in inspiratory capacity (0.07 ± 0.41 vs 0.20 ± 0.49 L, P = 0.023, d = 0.29). The inspiratory reserve volume to minute ventilation ratio at peak exercise was also lower in the UI versus non-UI group. Dyspnea intensity and unpleasantness ratings were significantly higher in the UI versus non-UI group at peak exercise (both P < 0.001). CONCLUSIONS Healthy individuals reporting UI at peak exercise have relatively greater inspiratory constraints compared with those who do not select UI.
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Affiliation(s)
| | | | | | | | | | - Satvir S Dhillon
- Centre for Heart Lung Innovation, Providence Research, The University of British Columbia and St. Paul's Hospital, Vancouver, BC, CANADA
| | - Julia Zhang
- Centre for Heart Lung Innovation, Providence Research, The University of British Columbia and St. Paul's Hospital, Vancouver, BC, CANADA
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Cooper B, Stanojevic S. Is lung function in a race against time? Exp Physiol 2024; 109:1244-1245. [PMID: 38699789 PMCID: PMC11291856 DOI: 10.1113/ep091490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Affiliation(s)
- Brendan Cooper
- Lung Function & Sleep Department, Queen Elizabeth HospitalUniversity Hospitals BirminghamBirminghamUK
| | - Sanja Stanojevic
- Department of Community Health and EpidemiologyDalhousie UniversityHalifaxNova ScotiaCanada
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10
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Adegunsoye A, Bachman WM, Flaherty KR, Li Z, Gupta S. Use of Race-Specific Equations in Pulmonary Function Tests Impedes Potential Eligibility for Care and Treatment of Pulmonary Fibrosis. Ann Am Thorac Soc 2024; 21:1156-1165. [PMID: 38386005 PMCID: PMC11298987 DOI: 10.1513/annalsats.202309-797oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 02/21/2024] [Indexed: 02/23/2024] Open
Abstract
Rationale: The use of race-specific reference values to evaluate pulmonary function has long been embedded into clinical practice; however, there is a growing consensus that this practice may be inappropriate and that the use of race-neutral equations should be adopted to improve access to health care. Objectives: To evaluate whether the use of race-neutral equations to assess percent predicted forced vital capacity (FVC%pred) impacts eligibility for clinical trials, antifibrotic therapy, and referral for lung transplantation in Black, Hispanic/Latino, and White patients with interstitial lung disease (ILD). Methods: FVC%pred values for patients from the Pulmonary Fibrosis Foundation Patient Registry were calculated using race-specific (Hankinson and colleagues, 1999), race-agnostic (Global Lung Function Initiative [GLI]-2012), and race-neutral (GLI-2022 or GLI-Global) equations. Eligibility for ILD clinical trials (FVC%pred >45% and <90%), antifibrotic therapy (FVC%pred >55% and <82%), and lung transplantation referral (FVC%pred <70%) based on GLI-2022 and GLI-2012 equations were compared with those based on the Hankinson 1999 equation. Results: Baseline characteristics were available for 1,882 patients (Black, n = 104; Hispanic/Latino, n = 103; White, n = 1,675), and outcomes were evaluated in 1,531 patients with FVC%pred within ±90 days of registry enrollment (Black, n = 78; Hispanic/Latino, n = 72; White, n = 1,381). Black patients were younger at the time of consent and more likely to be female compared with Hispanic/Latino or White patients. Compared with GLI-2022, the Hankinson 1999 equation misclassified 22% of Black patients, 14% of Hispanic/Latino patients, and 12% of White patients for ILD clinical trial eligibility; 21% of Black patients, 17% of Hispanic/Latino patients, and 19% of White patients for antifibrotic therapy eligibility; and 6% of Black patients, 14% of Hispanic/Latino patients, and 12% of White patients for lung transplantation referral. Similar trends were observed when comparing the GLI-2012 and Hankinson 1999 equations. Conclusions: Misclassification of patients for critical interventions is highly prevalent when using the Hankinson 1999 equation and highlights the need to consider adopting the race-neutral GLI-2022 equation for enhanced accuracy and more equitable representation in pulmonary health care. Our results make a compelling case for reevaluating the use of race as a physiological variable and emphasize the pressing need for continuous innovation to ensure equal and optimal care for all patients regardless of their race or ethnicity. Clinical trial registered with www.clinicaltrials.gov (NCT02758808).
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Affiliation(s)
- Ayodeji Adegunsoye
- Section of Pulmonary and Critical Care, Department of Medicine, The University of Chicago, Chicago, Illinois
| | | | - Kevin R. Flaherty
- Division of Pulmonary and Critical Care Medicine, Department of Medicine and
| | - Zhongze Li
- Statistical Analysis of Biomedical and Educational Research Group, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Sachin Gupta
- Genentech, Inc., South San Francisco, California; and
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11
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Brems JH, Balasubramanian A, Raju S, Putcha N, Fawzy A, Hansel NN, Wise RA, McCormack MC. Changes in Spirometry Interpretative Strategies: Implications for Classifying COPD and Predicting Exacerbations. Chest 2024; 166:294-303. [PMID: 38537688 PMCID: PMC11317812 DOI: 10.1016/j.chest.2024.03.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/09/2024] [Accepted: 03/21/2024] [Indexed: 04/18/2024] Open
Abstract
BACKGROUND Recent guidelines for spirometry interpretation recommend both race-neutral reference equations and use of z score thresholds to define severity of airflow obstruction. RESEARCH QUESTION How does the transition from race-specific to race-neutral equations impact severity classifications for patients with COPD when using % predicted vs z score thresholds, and do changes in severity correspond to clinical risk? STUDY DESIGN AND METHODS This retrospective cohort study included Black and White patients with COPD and available spirometry from the Johns Hopkins Health System. Global Lung Function Initiative (GLI) 2012 (race-specific) equations and GLI Global (race-neutral) equations were used to determine FEV1 % predicted and z score values. Patients were classified as having mild, moderate, or severe disease according to % predicted or z score thresholds. Associations between a change in severity classification from race-specific to race-neutral with COPD exacerbations and all-cause hospitalizations were evaluated using logistic regression. RESULTS This cohort included 13,324 patients, of whom 9,232 patients (69.3%) were White (mean age, 65.7 years) and 4,092 patients (30.7%) were Black (mean age, 61.1 years). More Black than White patients showed a change in severity classification between approaches when using % predicted thresholds (20.2% vs 6.1%; P < .001), but not with z score thresholds (12.6% vs 12.3%; P = .68). An increased severity classification with a race-neutral approach was associated with increased risk of exacerbation when using z score thresholds (OR, 2.34; 95% CI, 1.51-3.63), but not when using % predicted thresholds (OR, 1.08; 95% CI, 0.61-1.93). A decreased severity classification with a race-neutral approach was associated with lower risk of exacerbation with both % predicted (OR, 0.49; 95% CI, 0.28-0.87) and z score (OR 0.67; 95% CI, 0.50-0.90) thresholds. INTERPRETATION The proportions of Black and White individuals reclassified were similar with z score thresholds, and changes in severity corresponded to clinical risk with z scores. These results support recent recommendations for use of race-neutral equations and z score thresholds for spirometry interpretation.
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Affiliation(s)
- J Henry Brems
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD; Berman Institute of Bioethics (J. H. B.), Johns Hopkins University, Baltimore, MD.
| | - Aparna Balasubramanian
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD
| | - Sarath Raju
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD
| | - Nirupama Putcha
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD
| | - Ashraf Fawzy
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD
| | - Nadia N Hansel
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD
| | - Robert A Wise
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD
| | - Meredith C McCormack
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD
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12
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Kanj AN, Niven AS, Cowl CT, Yadav H. Rethinking the Role of Race in Lung Function: The Shift to Race-Neutral Spirometry Interpretation. Mayo Clin Proc 2024:S0025-6196(24)00263-5. [PMID: 39093270 DOI: 10.1016/j.mayocp.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 04/25/2024] [Accepted: 05/24/2024] [Indexed: 08/04/2024]
Affiliation(s)
- Amjad N Kanj
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
| | - Alexander S Niven
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
| | - Clayton T Cowl
- Division of Public Health, Infectious Diseases and Occupational Medicine, Mayo Clinic, Rochester, MN
| | - Hemang Yadav
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.
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13
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Raju S, Siddharthan T, McCormack MC, Patel SR, Kunisaki KM, D’Souza G, Cho JHJ, Stosor V, Morris A, Margolick JB, Brown TT, Punjabi NM. Influence of Impaired Diffusing Capacity and Sleep-disordered Breathing on Nocturnal Hypoxemia and Health Outcomes in Men with and without Human Immunodeficiency Virus. Ann Am Thorac Soc 2024; 21:1085-1093. [PMID: 38498872 PMCID: PMC11284323 DOI: 10.1513/annalsats.202309-757oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 03/18/2024] [Indexed: 03/20/2024] Open
Abstract
Rationale: Nocturnal hypoxemia is common in sleep-disordered breathing (SDB) and is associated with increased morbidity and mortality. Although impaired diffusing capacity of the lung for carbon monoxide (DlCO) is associated with daytime hypoxemia, its influence on SDB-related nocturnal hypoxemia is not known. Objectives: To characterize the effects of DlCO impairment on SDB-related nocturnal hypoxemia and associated health outcomes. Methods: Data from a multicenter cohort of men with and without human immunodeficiency virus (HIV) infection, with concomitant measures of DlCO and home-based polysomnography (n = 544), were analyzed. Multivariable quantile regression models characterized associations between DlCO and several measures of SDB-related hypoxemia (e.g., total sleep time with oxygen saturation as measured by pulse oximetry [SpO2] < 90% [T90]). Structural equation models were used to assess associations of impaired DlCO and SDB-related hypoxemia measures with prevalent hypertension and type 2 diabetes. Results: DlCO impairment (<80% predicted) was associated with sleep-related hypoxemia. Participants with severe SDB (apnea-hypopnea index ⩾ 30 events/h) and impaired DlCO had higher T90 (median difference, 15.0% [95% confidence interval (CI), 10.3% to 19.7%]) and average SDB-related desaturation (median difference, 1.0 [95% CI, 0.5 to 1.5]) and lower nadir SpO2 (median difference, -8.2% [95% CI, -11.4% to -4.9%]) and average SpO2 during sleep (median difference, -1.1% [95% CI, -2.1% to -0.01%]) than those with severe SDB and preserved DlCO. Higher T90 was associated with higher adjusted odds of prevalent hypertension (odds ratio, 1.39 [95% CI, 1.14 to 1.70]) and type 2 diabetes (odds ratio, 1.25 [95% CI, 1.07 to 1.46]). Conclusions: DlCO impairment in severe SDB was associated with sleep-related hypoxemia, prevalent hypertension, and type 2 diabetes. Assessment of SDB should be considered in those with impaired DlCO to guide testing and risk stratification strategies.
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Affiliation(s)
- Sarath Raju
- Division of Pulmonary and Critical Care Medicine and
| | - Trishul Siddharthan
- Division of Pulmonary and Critical Care Medicine and
- Division of Pulmonary and Critical Care Medicine, Miller School of Medicine, University of Miami, Miami, Florida
| | | | - Sanjay R. Patel
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Ken M. Kunisaki
- Section of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota
- Divison of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Gypsyamber D’Souza
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Joshua Hyong-Jin Cho
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California; and
| | - Valentina Stosor
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Alison Morris
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Joseph B. Margolick
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Todd T. Brown
- Division of Endocrinology, Diabetes, and Metabolism, School of Medicine, and
| | - Naresh M. Punjabi
- Division of Pulmonary and Critical Care Medicine and
- Division of Pulmonary and Critical Care Medicine, Miller School of Medicine, University of Miami, Miami, Florida
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14
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Yadav H, Herasevich S, Zhang Z, White BA, Hefazi Torghabeh M, Hogan WJ, Schulte PJ, Niven AS, Gajic O. Pulmonary function as a continuum of risk: critical care utilization and survival after allogeneic hematopoietic stem cell transplantation - a multicenter cohort study. Bone Marrow Transplant 2024; 59:942-949. [PMID: 38493276 DOI: 10.1038/s41409-024-02265-8] [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: 09/13/2023] [Revised: 03/04/2024] [Accepted: 03/06/2024] [Indexed: 03/18/2024]
Abstract
Abnormal pre-transplant pulmonary function tests (PFTs) are associated with reduced survival after allogeneic HCT. Existing scoring systems consider risk dichotomously, attributing risk only to those with abnormal lung function. In a multicenter cohort of 1717 allo-HCT recipients, we examined the association between pre-transplant PFT measures and need for ICU admission (120d), frequency of mechanical ventilation (120d) and overall survival (5 y). Predictive models were developed and validated using Cox proportional hazards, incorporating age, FEV1 (forced expiratory volume in 1-second) and diffusing capacity (DLCO). In univariate analysis, hazard ratios for each outcome (95% CI) were: mechanical ventilation (FEV1: 0.60 [0.52-0.69], DLCO: 0.69 [0.61-0.77], p < 0.001), ICU admission (FEV1: 0.74 [0.67-0.82], DLCO: 0.79 [0.72-0.86], p < 0.001) and overall survival (FEV1: HR 0.87 [0.81-0.94], DLCO: 0.83 [0.77-0.89], p < 0.001). A multivariable Cox model was developed and compared to the HCT-CI Pulmonary score in a validation cohort. This model was better at predicting need for ICU admission and mechanical ventilation, while both models predicted overall survival (p < 0.001). In conclusion, the risk conferred by pre-transplant pulmonary function should be considered in a continuous rather than dichotomous manner. A more granular prognostication system can better inform risk of critical care utilization in the early post-HCT period.
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Affiliation(s)
- Hemang Yadav
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Svetlana Herasevich
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA
| | - Zhenmei Zhang
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Bradley A White
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Philip J Schulte
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Alexander S Niven
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ognjen Gajic
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
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15
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Hayashi K, McDermott GC, Juge PA, Moll M, Cho MH, Wang X, Paudel ML, Doyle TJ, Kinney GL, Sansone-Poe D, Young K, Dellaripa PF, Wallace ZS, Regan EA, Hunninghake GM, Silverman EK, Ash SY, San Jose Estepar R, Washko GR, Sparks JA. Rheumatoid arthritis and changes on spirometry by smoking status in two prospective longitudinal cohorts. RMD Open 2024; 10:e004281. [PMID: 38886003 PMCID: PMC11184187 DOI: 10.1136/rmdopen-2024-004281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 05/30/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVE To compare longitudinal changes in spirometric measures between patients with rheumatoid arthritis (RA) and non-RA comparators. METHODS We analysed longitudinal data from two prospective cohorts: the UK Biobank and COPDGene. Spirometry was conducted at baseline and a second visit after 5-7 years. RA was identified based on self-report and disease-modifying antirheumatic drug use; non-RA comparators reported neither. The primary outcomes were annual changes in the per cent-predicted forced expiratory volume in 1 s (FEV1%) and per cent predicted forced vital capacity (FVC%). Statistical comparisons were performed using multivariable linear regression. The analysis was stratified based on baseline smoking status and the presence of obstructive pattern (FEV1/FVC <0.7). RESULTS Among participants who underwent baseline and follow-up spirometry, we identified 233 patients with RA and 37 735 non-RA comparators. Among never-smoking participants without an obstructive pattern, RA was significantly associated with more FEV1% decline (β=-0.49, p=0.04). However, in ever smokers with ≥10 pack-years, those with RA exhibited significantly less FEV1% decline than non-RA comparators (β=0.50, p=0.02). This difference was more pronounced among those with an obstructive pattern at baseline (β=1.12, p=0.01). Results were similar for FEV1/FVC decline. No difference was observed in the annual FVC% change in RA versus non-RA. CONCLUSIONS Smokers with RA, especially those with baseline obstructive spirometric patterns, experienced lower FEV1% and FEV1/FVC decline than non-RA comparators. Conversely, never smokers with RA had more FEV1% decline than non-RA comparators. Future studies should investigate potential treatments and the pathogenesis of obstructive lung diseases in smokers with RA.
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Affiliation(s)
- Keigo Hayashi
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Gregory C McDermott
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Pierre-Antoine Juge
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Matthew Moll
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary, Critical Care, Sleep and Allergy, Veterans Affairs Boston Healthcare System, West Roxbury, MA, USA
| | - Michael H Cho
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Xiaosong Wang
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Misti L Paudel
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Tracy J Doyle
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Gregory L Kinney
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Danielle Sansone-Poe
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kendra Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Paul F Dellaripa
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Zachary S Wallace
- Harvard Medical School, Boston, Massachusetts, USA
- Division Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Gary M Hunninghake
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Edwin K Silverman
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Raul San Jose Estepar
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - George R Washko
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jeffrey A Sparks
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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16
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McCormack M, Kaminsky DA. Beyond Diagnostics - Removing Race from Lung-Function Test Interpretation. N Engl J Med 2024; 390:2122-2123. [PMID: 38767237 DOI: 10.1056/nejme2403770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Affiliation(s)
- Meredith McCormack
- From the Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore (M.M.); and the Division of Pulmonary Disease and Critical Care Medicine, University of Vermont Larner College of Medicine, Burlington (D.A.K.)
| | - David A Kaminsky
- From the Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore (M.M.); and the Division of Pulmonary Disease and Critical Care Medicine, University of Vermont Larner College of Medicine, Burlington (D.A.K.)
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17
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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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Collaro AJ, Foong R, Chang AB, Marchant JM, Blake TL, Cole JF, Pearson G, Hii R, Brown H, Chatfield MD, Hall G, McElrea MS. Which reference equation should we use for interpreting spirometry values for First Nations Australians? A cross-sectional study. Med J Aust 2024; 220:523-529. [PMID: 38741358 DOI: 10.5694/mja2.52306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 10/11/2023] [Indexed: 05/16/2024]
Abstract
OBJECTIVES To evaluate the suitability of the Global Lung Function Initiative (GLI)-2012 other/mixed and GLI-2022 global reference equations for evaluating the respiratory capacity of First Nations Australians. DESIGN, SETTING Cross-sectional study; analysis of spirometry data collected by three prospective studies in Queensland, the Northern Territory, and Western Australia between March 2015 and December 2022. PARTICIPANTS Opportunistically recruited First Nations participants in the Indigenous Respiratory Reference Values study (Queensland, Northern Territory; age, 3-25 years; 18 March 2015 - 24 November 2017), the Healthy Indigenous Lung Function Testing in Adults study (Queensland, Northern Territory; 18 years or older; 14 August 2019 - 15 December 2022) and the Many Healthy Lungs study (Western Australia; five years or older; 10 October 2018 - 7 November 2021). MAIN OUTCOME MEASURES Goodness of fit to spirometry data for each GLI reference equation, based on mean Z-score and its standard deviation, and proportions of participants with respiratory parameter values within 1.64 Z-scores of the mean value. RESULTS Acceptable and repeatable forced expiratory volume in the first second (FEV1) values were available for 2700 First Nations participants in the three trials; 1467 were classified as healthy and included in our analysis (1062 children, 405 adults). Their median age was 12 years (interquartile range, 9-19 years; range, 3-91 years), 768 (52%) were female, and 1013 were tested in rural or remote areas (69%). Acceptable and repeatable forced vital capacity (FVC) values were available for 1294 of the healthy participants (88%). The GLI-2012 other/mixed and GLI-2022 global equations provided good fits to the spirometry data; the race-neutral GLI-2022 global equation better accounted for the influence of ageing on FEV1 and FVC, and of height on FVC. Using the GLI-2012 other/mixed reference equation and after adjusting for age, sex, and height, mean FEV1 (estimated difference, -0.34; 95% confidence interval [CI], -0.46 to -0.22) and FVC Z-scores (estimated difference, -0.45; 95% CI, -0.59 to -0.32) were lower for rural or remote than for urban participants, but their mean FEV1/FVC Z-score was higher (estimated difference, 0.14; 95% CI, 0.03-0.25). CONCLUSION The normal spirometry values of healthy First Nations Australians may be substantially higher than previously reported. Until more spirometry data are available for people in urban areas, the race-neutral GLI-2022 global or the GLI-2012 other/mixed reference equations can be used when assessing the respiratory function of First Nations Australians.
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Affiliation(s)
- Andrew J Collaro
- Queensland Hospital and Health Service, Brisbane, QLD
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD
| | - Rachel Foong
- Wal-yan Respiratory Research Centre, Telethon Kids Institute, Perth, WA
- Telethon Kids Institute, University of Western Australia, Perth
| | - Anne B Chang
- Queensland Hospital and Health Service, Brisbane, QLD
- Menzies School of Health Research, Darwin, NT
| | - Julie M Marchant
- Queensland Hospital and Health Service, Brisbane, QLD
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD
- Menzies School of Health Research, Darwin, NT
| | - Tamara L Blake
- Child Health Research Centre, University of Queensland, Brisbane, QLD
| | | | - Glenn Pearson
- Telethon Kids Institute, University of Western Australia, Perth
| | - Rebecca Hii
- Telethon Kids Institute, University of Western Australia, Perth
- St John of God Midland Public and Private Hospitals, Midland, WA
| | - Henry Brown
- Telethon Kids Institute, University of Western Australia, Perth
| | - Mark D Chatfield
- Child Health Research Centre, University of Queensland, Brisbane, QLD
| | - Graham Hall
- Telethon Kids Institute, University of Western Australia, Perth
| | - Margaret S McElrea
- Queensland Hospital and Health Service, Brisbane, QLD
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD
- Menzies School of Health Research, Darwin, NT
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Chedraoui C, Fakhry B, Sleiman J, Hu B, Attaway A, Bazeley P, Kim HJ, Zhang P, Cleveland, Zein JG, Phoenix. Sex Differences in Lung Function in Asthma Across the Ages. CHEST PULMONARY 2024; 2:100047. [PMID: 39006171 PMCID: PMC11242929 DOI: 10.1016/j.chpulm.2024.100047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Affiliation(s)
- Celine Chedraoui
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Battoul Fakhry
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Joelle Sleiman
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Bo Hu
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Amy Attaway
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Peter Bazeley
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Hyun Jo Kim
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Peng Zhang
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Cleveland
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Joe G Zein
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
| | - Phoenix
- Lerner Research Institute (C. C., B. F., J. S., and B. H.), Quantitative Health Sciences (B. H. and P. B.), and the Respiratory Institute (A. A. and P. Z.), Cleveland Clinic; the Case Western Reserve University (H. J. K.); and the Department of Medicine (J. G. Z.), Division of Pulmonary Medicine, Mayo Clinic
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20
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Haouzi P, Raghavan S, McCully J. Using the gli spirographic prediction equations to revisit the allometric relationships between lung volumes, height and age in adults. Respir Physiol Neurobiol 2024; 324:104243. [PMID: 38432596 DOI: 10.1016/j.resp.2024.104243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/19/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
The determination the forced vital capacity (FVC) and the forced expiratory volume in 1 second (FEV1) during spirometry studies, is at the core of the evaluation of the pulmonary function of patients with respiratory diseases. The Global Lung Function Initiative (GLI) offers the most extensive data set of normal lung functions available, which is currently used to determine the average expected/predicted FEV1 and FVC (predV), and their lower limit of normal (LLN, 5th percentile) at any given height and age for women and men. These prediction equations are currently expressed in a rather complex form: predV = exp [p+ (a x Ln (height) + (n x Ln (age)) + spline] and LLN = exp(Ln (predV) + Ln (1 - 1.645 x S x CV)/S); and are currently used to generate interpretations in commercialized spinographic system. However, as shown in this paper, these equations contain physiological and fundamental allometric information on lung volumes that become obvious when rewriting mean predicted values as a "simple" power function of height and LLN as a percentage of the mean predicted values. We therefore propose to present the equations of prediction obtained from the GLI data using simplified expressions in adults (18-95 years old) to reveal some of their physiological and allometric meaning. Indeed, when predicted FEV1 and FVC (predV) were expressed under the form predV= αx heightax b(age), the resulting exponent (a) ranges between 2 and 3, transforming the one dimension of a length (size) into a volume, akin to the third-order power (cubic) function of height historically used to predict lung volumes. Only one function, b (age), is necessary to replace all the factors related to age, including the tables of discrete data of spline functions original equations. Similarly, LLN can be expressed as LLN = c (age) xpredV to become a simple percentage of the predicted values, as a function of age. The equations with their respective new polynomial functions were validated in 52,764 consecutive spirometry tests performed in 2022 in 22,612 men and 30,152 women at the Cleveland Clinic. Using these equations, it become obvious that for both women and men, FEV1/FVC ratio decreases with the size as the exponent of the power function of height is lower for FEV1 than FVC. We conclude that rewriting the GLI predicted equations with simpler formulations restitutes to the GLI data some of their original allometric meaning, without altering the accuracy of their prediction.
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Affiliation(s)
- Philippe Haouzi
- Cleveland Clinic, Respiratory Institute, Department of Pulmonary Medicine, 9500 Euclid Avenue, Cleveland, OH 44195, United States.
| | - Sairam Raghavan
- Cleveland Clinic, Respiratory Institute, Department of Pulmonary Medicine, 9500 Euclid Avenue, Cleveland, OH 44195, United States
| | - Jonathan McCully
- Cleveland Clinic, Respiratory Institute, Department of Pulmonary Medicine, 9500 Euclid Avenue, Cleveland, OH 44195, United States
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21
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Zell-Baran LM, Krefft SD, Strand M, Rose CS. Longitudinal changes in lung function following post-9/11 military deployment in symptomatic veterans. Respir Med 2024; 227:107638. [PMID: 38641121 DOI: 10.1016/j.rmed.2024.107638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 04/05/2024] [Accepted: 04/15/2024] [Indexed: 04/21/2024]
Abstract
RATIONALE Exposure to burn pit smoke, desert and combat dust, and diesel exhaust during military deployment to Southwest Asia and Afghanistan (SWA) can cause deployment-related respiratory diseases (DRRDs) and may confer risk for worsening lung function after return. METHODS Study subjects were SWA-deployed veterans who underwent occupational lung disease evaluation (n = 219). We assessed differences in lung function by deployment exposures and DRRD diagnoses. We used linear mixed models to assess changes in lung function over time. RESULTS Most symptomatic veterans reported high intensity deployment exposure to diesel exhaust and burn pit particulates but had normal post-deployment spirometry. The most common DRRDs were deployment-related distal lung disease involving small airways (DDLD, 41%), deployment-related asthma (DRA, 13%), or both DRA/DDLD (24%). Those with both DDLD/DRA had the lowest estimated mean spirometry measurements five years following first deployment. Among those with DDLD alone, spirometry measurements declined annually, adjusting for age, sex, height, weight, family history of lung disease, and smoking. In this group, the forced expiratory volume in the first second/forced vital capacity (FEV1/FVC) ratio declined 0.2% per year. Those with more intense inhalational exposure had more abnormal lung function. We found significantly lower estimated FVC and total lung capacity five years following deployment among active duty participants (n = 173) compared to those in the reserves (n = 26). CONCLUSIONS More intense inhalational exposures were linked with lower post-deployment lung function. Those with distal lung disease (DDLD) experienced significant longitudinal decline in FEV1/FVC ratio, but other DRRD diagnosis groups did not.
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Affiliation(s)
- Lauren M Zell-Baran
- National Jewish Health, Division of Environmental and Occupational Health Sciences, Denver, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado, Aurora, USA.
| | - Silpa D Krefft
- National Jewish Health, Division of Environmental and Occupational Health Sciences, Denver, CO, USA; Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Colorado, Aurora, USA; Department of Environmental and Occupational Health, Colorado School of Public Health, Colorado, Aurora, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Veterans Administration Eastern Colorado Health Care System, Colorado, Aurora, USA
| | - Matthew Strand
- National Jewish Health, Biostatistics, Denver, CO, USA; University of Colorado, Department of Biostatistics and Informatics, Aurora, CO, USA
| | - Cecile S Rose
- National Jewish Health, Division of Environmental and Occupational Health Sciences, Denver, CO, USA; Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Colorado, Aurora, USA; Department of Environmental and Occupational Health, Colorado School of Public Health, Colorado, Aurora, USA
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22
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Wyatt ML, Sokolow AG, Brown RF, Kaslow JA, Tolle JJ, Weiner DJ, Rosas-Salazar C. Prevalence, stability, and clinical significance of an isolated low FEV 1 spirometry pattern in children. Pediatr Pulmonol 2024; 59:1747-1756. [PMID: 38558514 DOI: 10.1002/ppul.26987] [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: 12/12/2023] [Revised: 03/01/2024] [Accepted: 03/13/2024] [Indexed: 04/04/2024]
Abstract
OBJECTIVES In adults, an isolated low FEV1 pattern (an FEV1 below the lower limit of normal with a preserved FVC and FEV1/FVC) has been associated with the risk of developing airway obstruction. Our objective was to examine the prevalence, stability, and clinical significance of an isolated low FEV1 pattern in the pediatric population. METHODS We conducted a retrospective study of spirometries from children ages 6-21 years and categorized tests into spirometry patterns according to published guidelines and recent literature. In a subgroup of tests with an isolated low FEV1 pattern, we evaluated spirometry technique. We also examined the association of having a test with an isolated low FEV1 pattern with clinical markers of disease severity in a subgroup of children with cystic fibrosis (CF). RESULTS The isolated low FEV1 pattern was uncommon across the 29,979 tests included (n = 645 [2%]). In the 263 children with an isolated low FEV1 pattern who had a follow-up test performed, the most frequent spirometry pattern at last test was normal (n = 123 [47%]). A primary diagnosis of CF was associated with increased odds of having at least one test with an isolated low FEV1 pattern (OR = 8.37, 95% CI = 4.70-15.96, p < .001). The spirometry quality in a subgroup of tests with an isolated low FEV1 pattern (n = 50) was satisfactory. In the subgroup of children with CF (n = 102), those who had a test with an isolated low FEV1 pattern had higher odds of using oral antibiotics in the last 12 months than those who had a normal pattern (OR = 3.50, 95% CI = 1.15-10.63, p = .03). CONCLUSIONS The isolated low FEV1 pattern can occur repeatedly over time, usually transitions to a normal pattern, is not due to a poor spirometry technique, and could be clinically relevant in children with chronic lung diseases.
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Affiliation(s)
- MacKenzie L Wyatt
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Andrew G Sokolow
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rebekah F Brown
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jacob A Kaslow
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James J Tolle
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Daniel J Weiner
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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23
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Doumat G, Mehta GD, Espinola JA, Gallegos C, Zhu Z, Mansbach JM, Hasegawa K, Camargo CA. Race-Neutral Equations and Pulmonary Function Test Interpretation in Two Pediatric Cohorts. J Pediatr 2024; 273:114124. [PMID: 38815738 DOI: 10.1016/j.jpeds.2024.114124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/15/2024] [Accepted: 05/22/2024] [Indexed: 06/01/2024]
Abstract
OBJECTIVE To investigate the changes in predicted lung function measurements when using race-neutral equations in children, based upon the new Global Lung Initiative (GLI) reference equations, utilizing a race-neutral approach in interpreting spirometry results compared with the 2012 race-specific GLI equations. STUDY DESIGN We analyzed data from 2 multicenter prospective cohorts comprised of healthy children and children with history of severe (requiring hospitalization) bronchiolitis. Spirometry testing was done at the 6-year physical exam, and 677 tests were analyzed using new GLI Global and 2012 GLI equations. We used multivariable logistic regression, adjusted for age, height, and sex, to examine the association of race with the development of new impairment or increased severity (forced expiratory volume in the first second (FEV1) z-score ≤ -1.645) as per 2022 American Thoracic Society (ATS) guidelines. RESULTS Compared with the race-specific GLI, the race-neutral equation yielded increases in the median forced expiratory volume in the first second and forced vital capacity (FVC) percent predicted in White children but decreases in these two measures in Black children. The prevalence of obstruction increased in White children by 21%, and the prevalence of possible restriction increased in Black children by 222%. Compared with White race, Black race was associated with increased prevalence of new impairments (aOR 7.59; 95%CI, 3.00-19.67; P < .001) and increased severity (aOR 35.40; 95%CI, 4.70-266.40; P = .001). Results were similar across both cohorts. CONCLUSIONS As there are no biological justifications for the inclusion of race in spirometry interpretation, use of race-neutral spirometry reference equations led to an increase in both the prevalence and severity of respiratory impairments among Black children.
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Affiliation(s)
- George Doumat
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
| | - Geneva D Mehta
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Massachusetts Chan Medical School, Worcester, MA
| | - Janice A Espinola
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
| | - Catalina Gallegos
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
| | - Zhaozhong Zhu
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
| | | | - Kohei Hasegawa
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA.
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Lee JX, Ryan M, Mukharesh L, Dahlberg SE, Sun BZ, Hayden L, Phipatanakul W, Gaffin J. Comparison of home-based spirometry and oscillometry measurements in school-age children with bronchopulmonary dysplasia. Pediatr Pulmonol 2024. [PMID: 38804690 DOI: 10.1002/ppul.27072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 05/09/2024] [Accepted: 05/12/2024] [Indexed: 05/29/2024]
Abstract
INTRODUCTION This study compares home-based oscillometry and spirometry for characterizing respiratory system disease in school-aged children with bronchopulmonary dysplasia (BPD) in clinical research. We hypothesized higher rates of successful completion and abnormal cases identified through oscillometry, with correlations between device measurements. METHODS Participants 6-12 years old with BPD in the ongoing Air Quality, Environment and Respiratory Outcomes in BPD (AERO-BPD) study performed oscillometry followed by spirometry at two separate home visits. Parameters measured included airway resistance at 5 Hz(R5), resistance from 5 to 19 Hz(R5-19), resonance frequency(Fres), reactance at 5 Hz(X5), area under the curve between Fres and X5(AX), forced expiratory volume in 1 second(FEV1), forced vital capacity(FVC), and FEV1/FVC. Descriptive statistics identified the proportion of successful tests, correlation in measurements, and rate of lung disease for each device. RESULTS Among 76 subjects with 120 paired observations, 95% and 71% of participants successfully performed oscillometry and spirometry, respectively, at home visit one. 98% and 77% successfully performed oscillometry and spirometry, respectively, at home visit two. Odds ratios favored oscillometry (range 5.31-10.13, p < 0.01). FEV1 correlated with AX (correlation coefficient r = -0.27, p = 0.03); FEV1/FVC with AX (r = -0.32, p = 0.02); and FEV1/FVC with R5 (r = -0.37, p = 0.01). AX exhibited the highest prevalence of abnormality at 25%; other oscillometry parameters ranged from 5%-22%. Forty-five to sixty-four percent of participants had abnormal spirometry. Oscillometry assessments had significantly lower odds of capturing lung disease (odds ratios 0.07-0.24, p < 0.0001). CONCLUSIONS School-aged children with BPD demonstrated higher success rates in field-based oscillometry than spirometry. Spirometry exhibited higher rates of abnormality than oscillometry. Moderate correlation exists between device measurements.
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Affiliation(s)
- Julia X Lee
- Division of Pulmonary Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Morgan Ryan
- Biostatistics and Research Design Center, Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Lana Mukharesh
- Division of Pulmonary Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Suzanne E Dahlberg
- Division of Pulmonary Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Biostatistics and Research Design Center, Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Bob Z Sun
- Division of Pulmonary Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Lystra Hayden
- Division of Pulmonary Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Wanda Phipatanakul
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Allergy and Immunology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Jonathan Gaffin
- Division of Pulmonary Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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Cannon MF, Goldfarb DG, Zeig-Owens RA, Hall CB, Choi J, Cohen HW, Prezant DJ, Weiden MD. Normal Lung Function and Mortality in World Trade Center Responders and National Health and Nutrition Examination Survey III Participants. Am J Respir Crit Care Med 2024; 209:1229-1237. [PMID: 38163381 DOI: 10.1164/rccm.202309-1654oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024] Open
Abstract
Rationale: Low FEV1 is a biomarker of increased mortality. The association of normal lung function and mortality is not well described. Objectives: To evaluate the FEV1-mortality association among participants with normal lung function. Methods: A total of 10,999 Fire Department of the City of New York (FDNY) responders and 10,901 Third National Health and Nutrition Examination Survey (NHANES III) participants, aged 18-65 years with FEV1 ⩾80% predicted, were analyzed, with FEV1 percent predicted calculated using Global Lung Function Initiative Global race-neutral reference equations. Mortality data were obtained from linkages to the National Death Index. Cox proportional hazards models estimated the association between FEV1 and all-cause mortality, controlling for age, sex, race/ethnicity, smoking history, and, for FDNY, work assignment. Cohorts were followed for a maximum of 20.3 years. Measurements and Main Results: We observed 504 deaths (4.6%) of 10,999 for FDNY and 1,237 deaths (9.4% [weighted]) of 10,901 for NHANES III. Relative to FEV1 ⩾120% predicted, mortality was significantly higher for FEV1 100-109%, 90-99%, and 80-89% predicted in the FDNY cohort. In the NHANES III cohort, mortality was significantly higher for FEV1 90-99% and 80-89% predicted. Each 10% higher predicted FEV1 was associated with 15% (hazard ratio, 0.85; 95% confidence interval, 0.80-0.91) and 23% (hazard ratio, 0.77; 95% confidence interval, 0.71-0.84) lower mortality for FDNY and NHANES III, respectively. Conclusions: In both cohorts, higher FEV1 is associated with lower mortality, suggesting higher FEV1 is a biomarker of better health. These findings demonstrate that a single cross-sectional measurement of FEV1 is predictive of mortality over two decades, even when FEV1 is in the normal range.
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Affiliation(s)
- Madeline F Cannon
- Department of Medicine, Montefiore Medical Center, Bronx, New York
- Bureau of Health Services, Fire Department of the City of New York, Brooklyn, New York
| | - David G Goldfarb
- Department of Medicine, Montefiore Medical Center, Bronx, New York
- Bureau of Health Services, Fire Department of the City of New York, Brooklyn, New York
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York; and
| | - Rachel A Zeig-Owens
- Department of Medicine, Montefiore Medical Center, Bronx, New York
- Bureau of Health Services, Fire Department of the City of New York, Brooklyn, New York
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York; and
| | - Charles B Hall
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York; and
| | - Jaeun Choi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York; and
| | - Hillel W Cohen
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York; and
| | - David J Prezant
- Department of Medicine, Montefiore Medical Center, Bronx, New York
- Bureau of Health Services, Fire Department of the City of New York, Brooklyn, New York
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York; and
| | - Michael D Weiden
- Bureau of Health Services, Fire Department of the City of New York, Brooklyn, New York
- New York University Grossman School of Medicine, New York, New York
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Cadham CJ, Oh H, Han MK, Mannino D, Cook S, Meza R, Levy DT, Sánchez-Romero LM. The prevalence and mortality risks of PRISm and COPD in the United States from NHANES 2007-2012. Respir Res 2024; 25:208. [PMID: 38750492 PMCID: PMC11096119 DOI: 10.1186/s12931-024-02841-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/06/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND We estimated the prevalence and mortality risks of preserved ratio impaired spirometry (PRISm) and chronic obstructive pulmonary disease (COPD) in the US adult population. METHODS We linked three waves of pre-bronchodilator spirometry data from the US National Health and Nutritional Examination Survey (2007-2012) with the National Death Index. The analytic sample included adults ages 20 to 79 without missing data on age, sex, height, BMI, race/ethnicity, and smoking status. We defined COPD (GOLD 1, 2, and 3-4) and PRISm using FEV1/FVC cut points by the Global Initiative for Chronic Obstructive Lung Disease (GOLD). We compared the prevalence of GOLD stages and PRISm by covariates across the three waves. We estimated adjusted all-cause and cause-specific mortality risks by COPD stage and PRISm using all three waves combined. RESULTS Prevalence of COPD and PRISm from 2007-2012 ranged from 13.1%-14.3% and 9.6%-10.2%, respectively. We found significant differences in prevalence by sex, age, smoking status, and race/ethnicity. Males had higher rates of COPD regardless of stage, while females had higher rates of PRISm. COPD prevalence increased with age, but not PRISm, which was highest among middle-aged individuals. Compared to current and never smokers, former smokers showed lower rates of PRISm but higher rates of GOLD 1. COPD prevalence was highest among non-Hispanic White individuals, and PRISm was notably higher among non-Hispanic Black individuals (range 31.4%-37.4%). We found associations between PRISm and all-cause mortality (hazard ratio [HR]: 2.3 95% CI: 1.9-2.9) and various cause-specific deaths (HR ranges: 2.0-5.3). We also found associations between GOLD 2 (HR: 2.1, 95% CI: 1.7-2.6) or higher (HR: 4.2, 95% CI: 2.7-6.5) and all-cause mortality. Cause-specific mortality risk varied within COPD stages but typically increased with higher GOLD stage. CONCLUSIONS The prevalence of COPD and PRISm remained stable from 2007-2012. Greater attention should be paid to the potential impacts of PRISm due to its higher prevalence in minority groups and its associations with mortality across various causes including cancer.
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Affiliation(s)
- Christopher J Cadham
- School of Public Health, Department of Health Management and Policy, University of Michigan, Ann Arbor, MI, USA
| | - Hayoung Oh
- Georgetown University-Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - MeiLan K Han
- Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, MI, USA
| | - David Mannino
- Division of Pulmonary and Critical Care Medicine, University of Kentucky, Lexington, KY, USA
- COPD Foundation, Miami, FL, USA
| | - Steven Cook
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Rafael Meza
- BC Cancer Research Institute, Vancouver, Canada
| | - David T Levy
- Georgetown University-Lombardi Comprehensive Cancer Center, Washington, DC, USA
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Rosenfeld M, Cromwell EA, Schechter MS, Ren C, Flume PA, Szczesniak RD, Morgan WJ, Jain R. The impact of switching to race-neutral reference equations on FEV 1 percent predicted among people with cystic fibrosis . J Cyst Fibros 2024; 23:443-449. [PMID: 38556415 DOI: 10.1016/j.jcf.2024.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/26/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024]
Abstract
RATIONALE The American Thoracic Society recommended switching to race-neutral spirometry reference equations, as race is a social construct and to avoid normalizing disparities in lung function due to structural racism. Understanding the impact of the race-neutral equations on percent predicted forced expiratory volume in one second (ppFEV1) in people with cystic fibrosis (PwCF) will help prepare patients and providers to interpret pulmonary function test results. OBJECTIVE(S) To quantify the impact of switching from Global Lung Initiative (GLI) 2012 race-specific to GLI 2022 Global race-neutral reference equations on the distribution of ppFEV1 among PwCF of different races. METHODS Cross-sectional analysis of FEV1 among PwCF ages ≥6 years in the 2021 U.S. Cystic Fibrosis Foundation Patient Registry. We describe the absolute difference in ppFEV1 between the two reference equations by reported race and the effect of age and height on this difference. RESULTS With the switch to GLI Global, ppFEV1 will increase for White (median increase 4.7, (IQR: 3.1; 6.4)) and Asian (2.6 (IQR: 1.6; 3.7)) individuals and decrease for Black individuals (-7.7, (IQR: -10.9; -5.2)). Other race categories will see minimal changes in median ppFEV1. Individuals with higher baseline ppFEV1 and younger age will see a greater change in ppFEV1 (i.e., a greater improvement among White and Asian individuals and a greater decline among Black individuals). CONCLUSIONS Switching from GLI 2012 race-specific reference equations to GLI 2022 Global race-neutral equations will result in larger reductions in ppFEV1 among Black individuals with CF than increases among White and Asian people with CF.
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Affiliation(s)
- Margaret Rosenfeld
- Department of Pediatrics, University of Washington and Seattle Childrens Hospital, USA
| | | | - Michael S Schechter
- Division of Pulmonary and Sleep Medicine, Children's Hospital of Richmond at Viriginia Commonwealth University, USA
| | - Clement Ren
- Division of Pulmonary and Sleep Medicine, Children's Hospital of Philadelphia, USA
| | - Patrick A Flume
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Medical University of South Carolina, USA
| | - Rhonda D Szczesniak
- Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center, USA
| | - Wayne J Morgan
- Pediatric Pulmonary and Sleep Medicine, University of Arizona, USA
| | - Raksha Jain
- Internal Medicine, University of Texas Southwestern, USA
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Ahmed A, Brown A, Pollack Y, Vazhappilly J, Perry C, Thomas ER, Krishnan S, Dozor AJ. Relationship between FEV 1/FVC and age in children with asthma. Pediatr Pulmonol 2024; 59:1402-1409. [PMID: 38426807 DOI: 10.1002/ppul.26927] [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: 12/01/2023] [Revised: 02/06/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024]
Abstract
INTRODUCTION Forced expiratory volume in the first second (FEV1)/forced vital capacity (FVC) normally decreases through childhood, increases briefly during early adolescence, and then declines throughout life. The physiology behind this temporary increase during early adolescence is not well understood. The objective of this study was to determine if this pattern occurs in children with asthma. DESIGN Single-center, cross-sectional, retrospective analysis of pulmonary function tests obtained over a 5-year period in children 5-18 years of age with persistent asthma. RESULTS A total of 1793 patients satisfied all inclusion and exclusion criteria. The mean age (±SD) was 10.4 ± 3.8 years. Forty-eight percent were female. Mean FEV1/FVC was 0.83 ± 0.09. FEV1/FVC was lower at 5 years of age than in healthy children, declined from age 5 to 11 by 5.7% compared to 7.3% in healthy girls, and 5.8% compared to 9.4% in healthy boys. FEV1/FVC increased in early adolescence, but at age 16, was 5.6% lower in male children compared to healthy children, and 5.4% lower in females. The ratio was lower in obese children at all ages but demonstrated the same curvilinear shape as healthy children. In absolute terms, FEV1 grew proportionately more than FVC during early adolescence, so the ratio of FEV1/FVC increased during that period. The curvilinear shape of the curve remained in postbronchodilator testing, though significantly blunted. CONCLUSIONS FEV1/FVC is lower in children with persistent asthma than healthy children, but the "Shepherd's Hook" pattern is preserved. This was true in obese patients with asthma, although their FEV1/FVC ratios were lower throughout all stages of childhood and adolescence.
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Affiliation(s)
- Amal Ahmed
- Boston Children's Health Physicians, Valhalla, New York, USA
| | - Amy Brown
- Boston Children's Health Physicians, Valhalla, New York, USA
- Maria Fareri Children's Hospital at Westchester Medical Center, Valhalla, New York, USA
- New York Medical College, Valhalla, New York, USA
| | - Yehudit Pollack
- Boston Children's Health Physicians, Valhalla, New York, USA
- Maria Fareri Children's Hospital at Westchester Medical Center, Valhalla, New York, USA
- New York Medical College, Valhalla, New York, USA
| | | | | | | | - Sankaran Krishnan
- Boston Children's Health Physicians, Valhalla, New York, USA
- Maria Fareri Children's Hospital at Westchester Medical Center, Valhalla, New York, USA
- New York Medical College, Valhalla, New York, USA
| | - Allen J Dozor
- Boston Children's Health Physicians, Valhalla, New York, USA
- Maria Fareri Children's Hospital at Westchester Medical Center, Valhalla, New York, USA
- New York Medical College, Valhalla, New York, USA
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29
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Haouzi P, McCully J. The persistent mismeasure of spirometry in women. THE LANCET. RESPIRATORY MEDICINE 2024; 12:e31-e32. [PMID: 38697725 DOI: 10.1016/s2213-2600(24)00084-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/29/2024] [Accepted: 03/12/2024] [Indexed: 05/05/2024]
Affiliation(s)
- Philippe Haouzi
- Department of Pulmonary Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
| | - Johnathan McCully
- Department of Pulmonary Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, OH 44195, USA
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30
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Davidson SR, Idris MY, Awad CS, Henriques King M, Westney GE, Ponce M, Rodriguez AD, Lipsey KL, Flenaugh EL, Foreman MG. Race Adjustment of Pulmonary Function Tests in the Diagnosis and Management of COPD: A Scoping Review. Int J Chron Obstruct Pulmon Dis 2024; 19:969-980. [PMID: 38708410 PMCID: PMC11067926 DOI: 10.2147/copd.s430249] [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: 07/14/2023] [Accepted: 02/21/2024] [Indexed: 05/07/2024] Open
Abstract
Aim Increasing evidence suggests that the inclusion of self-identified race in clinical decision algorithms may perpetuate longstanding inequities. Until recently, most pulmonary function tests utilized separate reference equations that are race/ethnicity based. Purpose We assess the magnitude and scope of the available literature on the negative impact of race-based pulmonary function prediction equations on relevant outcomes in African Americans with COPD. Methods We performed a scoping review utilizing an English language search on PubMed/Medline, Embase, Scopus, and Web of Science in September 2022 and updated it in December 2023. We searched for publications regarding the effect of race-specific vs race-neutral, race-free, or race-reversed lung function testing algorithms on the diagnosis of COPD and COPD-related physiologic and functional measures. Joanna Briggs Institute (JBI) guidelines were utilized for this scoping review. Eligibility criteria: The search was restricted to adults with COPD. We excluded publications on other lung disorders, non-English language publications, or studies that did not include African Americans. The search identified publications. Ultimately, six peer-reviewed publications and four conference abstracts were selected for this review. Results Removal of race from lung function prediction equations often had opposite effects in African Americans and Whites, specifically regarding the severity of lung function impairment. Symptoms and objective findings were better aligned when race-specific reference values were not used. Race-neutral prediction algorithms uniformly resulted in reclassifying severity in the African Americans studied. Conclusion The limited literature does not support the use of race-based lung function prediction equations. However, this assertion does not provide guidance for every specific clinical situation. For African Americans with COPD, the use of race-based prediction equations appears to fall short in enhancing diagnostic accuracy, classifying severity of impairment, or predicting subsequent clinical events. We do not have information comparing race-neutral vs race-based algorithms on prediction of progression of COPD. We conclude that the elimination of race-based reference values potentially reduces underestimation of disease severity in African Americans with COPD.
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Affiliation(s)
- Sean Richard Davidson
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Muhammed Y Idris
- Clinical Research Center, Morehouse School of Medicine, Atlanta, GA, USA
- Center of Excellence for the Validation of Digital Health Technologies and Clinical Algorithms, Morehouse School of Medicine, Atlanta, GA, USA
| | - Christopher S Awad
- Clinical Research Center, Morehouse School of Medicine, Atlanta, GA, USA
| | - Marshaleen Henriques King
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Gloria E Westney
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Mario Ponce
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Anny D Rodriguez
- Clinical Research Center, Morehouse School of Medicine, Atlanta, GA, USA
| | - Kim L Lipsey
- Bernard Becker Medical Library, Washington University in St. Louis, St. Louis, MO, USA
| | - Eric L Flenaugh
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Marilyn G Foreman
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
- Center of Excellence for the Validation of Digital Health Technologies and Clinical Algorithms, Morehouse School of Medicine, Atlanta, GA, USA
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31
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Bhatt SP, Bodduluri S, Nakhmani A, Oelsner EC. Unadjusted Lower Limit of Normal for Airflow Obstruction. Am J Respir Crit Care Med 2024; 209:1028-1030. [PMID: 38301239 DOI: 10.1164/rccm.202312-2301le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 02/01/2024] [Indexed: 02/03/2024] Open
Affiliation(s)
- Surya P Bhatt
- UAB Lung Imaging Lab
- Division of Pulmonary, Allergy and Critical Care Medicine, and
| | - Sandeep Bodduluri
- UAB Lung Imaging Lab
- Division of Pulmonary, Allergy and Critical Care Medicine, and
| | - Arie Nakhmani
- UAB Lung Imaging Lab
- Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, Alabama; and
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32
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Mraz T, Asgari S, Karimi A, Breyer MK, Hartl S, Sunanta O, Ofenheimer A, Burghuber OC, Zacharasiewicz A, Lamprecht B, Schiffers C, Wouters EFM, Breyer-Kohansal R. Updated reference values for static lung volumes from a healthy population in Austria. Respir Res 2024; 25:155. [PMID: 38570835 PMCID: PMC10988832 DOI: 10.1186/s12931-024-02782-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 03/21/2024] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND Reference values for lung volumes are necessary to identify and diagnose restrictive lung diseases and hyperinflation, but the values have to be validated in the relevant population. Our aim was to investigate the Global Lung Function Initiative (GLI) reference equations in a representative healthy Austrian population and create population-derived reference equations if poor fit was observed. METHODS We analysed spirometry and body plethysmography data from 5371 respiratory healthy subjects (6-80 years) from the Austrian LEAD Study. Fit with the GLI equations was examined using z-scores and distributions within the limits of normality. LEAD reference equations were then created using the LMS method and the generalized additive model of location shape and scale package according to GLI models. RESULTS Good fit, defined as mean z-scores between + 0.5 and -0.5,was not observed for the GLI static lung volume equations, with mean z-scores > 0.5 for residual volume (RV), RV/TLC (total lung capacity) and TLC in both sexes, and for expiratory reserve volume (ERV) and inspiratory capacity in females. Distribution within the limits of normality were shifted to the upper limit except for ERV. Population-derived reference equations from the LEAD cohort showed superior fit for lung volumes and provided reproducible results. CONCLUSION GLI lung volume reference equations demonstrated a poor fit for our cohort, especially in females. Therefore a new set of Austrian reference equations for static lung volumes was developed, that can be applied to both children and adults (6-80 years of age).
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Affiliation(s)
- Tobias Mraz
- Department of Respiratory and Pulmonary Diseases, Vienna Healthcare Group, Clinic Penzing, Sanatoriumstrasse 2, Vienna, 1140, Austria.
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria.
| | - Shervin Asgari
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Ahmad Karimi
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Marie-Kathrin Breyer
- Department of Respiratory and Pulmonary Diseases, Vienna Healthcare Group, Clinic Penzing, Sanatoriumstrasse 2, Vienna, 1140, Austria
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
| | - Sylvia Hartl
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Owat Sunanta
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
| | - Alina Ofenheimer
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
- School of Nutrition and Translational Research in Metabolism, NUTRIM, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Otto C Burghuber
- Department of Respiratory and Pulmonary Diseases, Vienna Healthcare Group, Clinic Penzing, Sanatoriumstrasse 2, Vienna, 1140, Austria
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | | | - Bernd Lamprecht
- Department of Pulmonology, Kepler University Hospital, Linz, Austria
- Medical Faculty, Johannes Kepler University, Linz, Austria
| | | | - Emiel F M Wouters
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
- School of Nutrition and Translational Research in Metabolism, NUTRIM, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Robab Breyer-Kohansal
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Vienna Healthcare Group, Clinic Hietzing, Vienna, Austria
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Hua JT, Zell-Baran LM, Moore CM, Rose CS. Racial Differences in Respiratory Impairment, Pneumoconiosis, and Federal Compensation for Western U.S. Indigenous Coal Miners. Ann Am Thorac Soc 2024; 21:551-558. [PMID: 37916934 PMCID: PMC10995550 DOI: 10.1513/annalsats.202305-496oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/30/2023] [Indexed: 11/03/2023] Open
Abstract
Rationale: Indigenous populations in the United States face numerous health disparities, but the health of Indigenous workers is less well understood. In a recent surveillance study of active Indigenous coal miners, 3% had coal workers' pneumoconiosis/black lung, and 9% had respiratory impairment. However, occupational lung disease prevalence among Indigenous coal miners has not been directly compared with that among other race/ethnicity groups. Coal miners who are totally disabled from black lung may qualify for U.S. Department of Labor (DOL) compensation benefits, but it is unclear how current federal spirometry criteria affect qualification for Indigenous coal miners.Objectives: To compare findings of pneumoconiosis and respiratory impairment in Indigenous and non-Indigenous coal miners in the western United States and assess federal compensation qualification for Indigenous miners using different spirometry standards.Methods: We used voluntary medical surveillance data from 2002 to 2023 to compare the adjusted odds of pneumoconiosis and respiratory impairment between Indigenous/non-Indigenous coal miners. We examined the proportion of Indigenous miners meeting DOL criteria for federal compensation using different spirometry standards.Results: We identified 691 western U.S. coal miners with at least one year of coal mining employment, 289 Indigenous and 402 non-Indigenous (96% White/Hispanic). Indigenous miners had a greater odds ratio for pneumoconiosis for each additional decade of life (2.47 [95% confidence interval (CI), 1.66-3.68]) compared with non-Indigenous coal miners (1.48 [95% CI, 1.19-1.85]). For each decade, Indigenous coal miners also had a greater adjusted odds ratio for respiratory impairment (1.67 [95% CI, 1.25-2.24]) than non-Indigenous miners (1.06 [95% CI, 0.90-1.25]). Indigenous miners had an additional decline of 71 ml (95% CI, 6-136 ml) in forced expiratory volume in 1 second for each decade of life compared with non-Indigenous coal miners. Using the DOL-mandated Knudson (1976) spirometry standard rather than an Indigenous-specific standard, 6 of 18 (33%) Indigenous miners would not qualify for federal compensation.Conclusions: Indigenous coal miners experience greater adjusted odds for pneumoconiosis and respiratory impairment per decade of life and greater decline in forced expiratory volume in 1 second despite lower smoking rates. Structural inequities exist in federal spirometry requirements for Indigenous miners seeking DOL black lung benefits. Regulatory reform is needed to address barriers to compensation for these underrepresented workers.
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Affiliation(s)
- Jeremy T. Hua
- Division of Environmental and Occupational Health Sciences and
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, Colorado; and
- Department of Environmental and Occupational Health
| | - Lauren M. Zell-Baran
- Division of Environmental and Occupational Health Sciences and
- Department of Epidemiology, and
| | - Camille M. Moore
- Division of Biostatistics and Bioinformatics, Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado
| | - Cecile S. Rose
- Division of Environmental and Occupational Health Sciences and
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, Colorado; and
- Department of Environmental and Occupational Health
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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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Laurent-Lacroix C, Vincenti M, Matecki S, Mahé P, Moulis L, De La Villeon G, Guillaumont S, Requirand A, Moreau J, Lalande M, Picot MC, Amedro P, Gavotto A. Aerobic physical capacity and health-related quality of life in children with sickle cell disease. Pediatr Res 2024:10.1038/s41390-024-03143-1. [PMID: 38491141 DOI: 10.1038/s41390-024-03143-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 02/01/2024] [Accepted: 02/17/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Aerobic fitness is a predictor of cardiovascular health which correlates with health-related quality of life in the general population. The aim is to evaluate the aerobic capacity by cardiopulmonary exercise test (CPET) in children with sickle cell disease in comparison with healthy matched controls. METHODS Controlled cross-sectional study. RESULTS A total of 72 children (24 with sickle cell disease and 48 healthy controls), aged 6-17 years old were enrolled. Children with sickle cell disease had a poor aerobic capacity, with median VO2max Z-score values significantly lower than matched controls (-3.55[-4.68; -2.02] vs. 0.25[-0.22; 0.66], P < 0.01, respectively), and a high proportion of 92% children affected by an impaired aerobic capacity (VO2max Z-score < -1.64). The VO2max decrease was associated with the level of anemia, the existence of a homozygote HbS/S mutation, restrictive lung disease and health-related quality of life. CONCLUSION Aerobic capacity is poor in children with sickle cell disease. VO2max decrease is associated with the level of anemia, the existence of a homozygote HbS/S mutation, lung function, and health-related quality of life. These results represent a signal in favor of early initiation of cardiac rehabilitation in patients with sickle cell disease. CLINICAL TRIALS NCT05995743. IMPACT Aerobic fitness is a predictor of cardiovascular health which correlates with health-related quality of life in the general population. Aerobic capacity (VO2max) is poor in children with sickle cell disease, despite the absence of any pattern of heart failure. VO2max decrease was associated with the level of anemia, the existence of a homozygote HbS/S mutation, restrictive lung disease, and health-related quality of life. These results are in favor of early initiation of cardiac rehabilitation in children with sickle cell disease.
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Affiliation(s)
- Corentin Laurent-Lacroix
- Department of Pediatric and Congenital Cardiology, M3C Regional Reference CHD Centre, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
| | - Marie Vincenti
- Department of Pediatric and Congenital Cardiology, M3C Regional Reference CHD Centre, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
- PhyMedExp, CNRS, INSERM, University of Montpellier, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
| | - Stefan Matecki
- PhyMedExp, CNRS, INSERM, University of Montpellier, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
- Pediatric Functional Exploration Laboratory, Physiology Department, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
| | - Perrine Mahé
- Pediatric Department, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
- Reference Center on Rare Red Cell Disorders, Montpellier University Hospital, 34000, Montpellier, France
| | - Lionel Moulis
- Clinical Research and Epidemiology Unit, Montpellier University Hospital, 34000, Montpellier, France
| | - Gregoire De La Villeon
- Department of Pediatric and Congenital Cardiology, M3C Regional Reference CHD Centre, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
- Pediatric Cardiology and Rehabilitation Unit, St-Pierre Institute, 371 Avenue de l'Évêché de Maguelone, 34250, Palavas-Les-Flots, France
| | - Sophie Guillaumont
- Department of Pediatric and Congenital Cardiology, M3C Regional Reference CHD Centre, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
- Pediatric Cardiology and Rehabilitation Unit, St-Pierre Institute, 371 Avenue de l'Évêché de Maguelone, 34250, Palavas-Les-Flots, France
| | - Anne Requirand
- Pediatric Functional Exploration Laboratory, Physiology Department, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
| | - Johan Moreau
- Pediatric Functional Exploration Laboratory, Physiology Department, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
- Department of Pediatric Pneumology, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
| | - Muriel Lalande
- Pediatric Department, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France
- Reference Center on Rare Red Cell Disorders, Montpellier University Hospital, 34000, Montpellier, France
| | - Marie-Christine Picot
- Clinical Research and Epidemiology Unit, Montpellier University Hospital, 34000, Montpellier, France
- Clinical Investigation Centre, INSERM-CIC 1411, University of Montpellier, 34000, Montpellier, France
| | - Pascal Amedro
- Department of Pediatric and Congenital Cardiology, M3C National Reference Centre, Bordeaux University Hospital, 1 Avenue Magellan, 33604, Pessac, France
- IHU Liryc, Electrophysiology and Heart Modelling Institute, INSERM 1045, Bordeaux University Foundation, Avenue du Haut Lévêque, 33600, Pessac, France
| | - Arthur Gavotto
- PhyMedExp, CNRS, INSERM, University of Montpellier, 371 Avenue du Doyen Giraud, 34295, Montpellier, France.
- Pediatric Intensive Care Unit, Arnaud de Villeneuve Hospital, Montpellier University Hospital, 371 Avenue du Doyen Giraud, 34295, Montpellier, France.
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Eddy RL, Mummy D, Zhang S, Dai H, Bechtel A, Schmidt A, Frizzell B, Gerayeli FV, Leipsic JA, Leung JM, Driehuys B, Que LG, Castro M, Sin DD, Niedbalski PJ. Cluster Analysis to Identify Long COVID Phenotypes Using 129Xe Magnetic Resonance Imaging: A Multi-centre Evaluation. Eur Respir J 2024; 63:2302301. [PMID: 38331459 PMCID: PMC10973687 DOI: 10.1183/13993003.02301-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 01/26/2024] [Indexed: 02/10/2024]
Abstract
BACKGROUND Long COVID impacts ∼10% of people diagnosed with COVID-19, yet the pathophysiology driving ongoing symptoms is poorly understood. We hypothesised that 129Xe magnetic resonance imaging (MRI) could identify unique pulmonary phenotypic subgroups of long COVID, therefore we evaluated ventilation and gas exchange measurements with cluster analysis to generate imaging-based phenotypes. METHODS COVID-negative controls and participants who previously tested positive for COVID-19 underwent 129XeMRI ∼14-months post-acute infection across three centres. Long COVID was defined as persistent dyspnea, chest tightness, cough, fatigue, nausea and/or loss of taste/smell at MRI; participants reporting no symptoms were considered fully-recovered. 129XeMRI ventilation defect percent (VDP) and membrane (Mem)/Gas, red blood cell (RBC)/Mem and RBC/Gas ratios were used in k-means clustering for long COVID, and measurements were compared using ANOVA with post-hoc Bonferroni correction. RESULTS We evaluated 135 participants across three centres: 28 COVID-negative (40±16yrs), 34 fully-recovered (42±14yrs) and 73 long COVID (49±13yrs). RBC/Mem (p=0.03) and FEV1 (p=0.04) were different between long- and COVID-negative; FEV1 and all other pulmonary function tests (PFTs) were within normal ranges. Four unique long COVID clusters were identified compared with recovered and COVID-negative. Cluster1 was the youngest with normal MRI and mild gas-trapping; Cluster2 was the oldest, characterised by reduced RBC/Mem but normal PFTs; Cluster3 had mildly increased Mem/Gas with normal PFTs; and Cluster4 had markedly increased Mem/Gas with concomitant reduction in RBC/Mem and restrictive PFT pattern. CONCLUSION We identified four 129XeMRI long COVID phenotypes with distinct characteristics. 129XeMRI can dissect pathophysiologic heterogeneity of long COVID to enable personalised patient care.
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Affiliation(s)
- Rachel L Eddy
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - David Mummy
- Department of Radiology, Duke University, Durham, NC, USA
| | - Shuo Zhang
- Department of Radiology, Duke University, Durham, NC, USA
| | - Haoran Dai
- Department of Medical Physics, Duke University, Durham, NC, USA
| | - Aryil Bechtel
- Department of Radiology, Duke University, Durham, NC, USA
| | - Alexandra Schmidt
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Bradie Frizzell
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Firoozeh V Gerayeli
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Jonathon A Leipsic
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Janice M Leung
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Bastiaan Driehuys
- Department of Radiology, Duke University, Durham, NC, USA
- Department of Medical Physics, Duke University, Durham, NC, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Loretta G Que
- Division of Pulmonary, Department of Medicine, Duke University, Durham, NC, USA
| | - Mario Castro
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Don D Sin
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Peter J Niedbalski
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
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Abdulqawi R, Saleh RA, Alameer RM, Aldakhil H, AlKattan KM, Almaghrabi RS, Althawadi S, Hashim M, Saleh W, Yamani AH, Al-Mutairy EA. Donor respiratory multidrug-resistant bacteria and lung transplantation outcomes. J Infect 2024; 88:139-148. [PMID: 38237809 DOI: 10.1016/j.jinf.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/29/2023] [Accepted: 12/22/2023] [Indexed: 01/26/2024]
Abstract
RATIONALE Respiratory culture screening is mandatory for all potential lung transplant donors. There is limited evidence on the significance of donor multidrug-resistant (MDR) bacteria on transplant outcomes. Establishing the safety of allografts colonized with MDR bacteria has implications for widening an already limited donor pool. OBJECTIVES We aimed to describe the prevalence of respiratory MDR bacteria among our donor population and to test for associations with posttransplant outcomes. METHODS This retrospective observational study included all adult patients who underwent lung-only transplantation for the first time at King Faisal Specialist Hospital & Research Centre in Riyadh from January 2015 through May 2022. The study evaluated donor bronchoalveolar lavage and bronchial swab cultures. MAIN RESULTS Sixty-seven of 181 donors (37%) had respiratory MDR bacteria, most commonly MDR Acinetobacter baumannii (n = 24), methicillin-resistant Staphylococcus aureus (n = 18), MDR Klebsiella pneumoniae (n = 8), MDR Pseudomonas aeruginosa (n = 7), and Stenotrophomonas maltophilia (n = 6). Donor respiratory MDR bacteria were not significantly associated with allograft survival or chronic lung allograft dysfunction (CLAD) in adjusted hazard models. Sensitivity analyses revealed an increased risk for 90-day mortality among recipients of allografts with MDR Klebsiella pneumoniae (n = 6 with strains resistant to a carbapenem and n = 2 resistant to a third-generation cephalosporin only) compared to those receiving culture-negative allografts (25.0% versus 11.1%, p = 0.04). MDR Klebsiella pneumoniae (aHR 3.31, 95%CI 0.95-11.56) and Stenotrophomonas maltophilia (aHR 5.35, 95%CI 1.26-22.77) were associated with an increased risk for CLAD compared to negative cultures. CONCLUSION Our data suggest the potential safety of using lung allografts with MDR bacteria in the setting of appropriate prophylaxis; however, caution should be exercised in the case of MDR Klebsiella pneumoniae.
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Affiliation(s)
- Rayid Abdulqawi
- Lung Health Centre Department, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia; Alfaisal University, Riyadh, Saudi Arabia.
| | - Rana Ahmed Saleh
- Lung Health Centre Department, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Reem Mahmoud Alameer
- Section of Transplant Infectious Diseases, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Haifa Aldakhil
- Department of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Khaled Manae AlKattan
- Lung Health Centre Department, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia; Alfaisal University, Riyadh, Saudi Arabia
| | - Reem Saad Almaghrabi
- Section of Transplant Infectious Diseases, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Sahar Althawadi
- Pathology & Laboratory Medicine Department, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Mahmoud Hashim
- Lung Health Centre Department, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia; Alfaisal University, Riyadh, Saudi Arabia
| | - Waleed Saleh
- Lung Health Centre Department, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia; Alfaisal University, Riyadh, Saudi Arabia
| | - Amani Hassan Yamani
- Section of Transplant Infectious Diseases, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Eid Abdullah Al-Mutairy
- Lung Health Centre Department, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia; Alfaisal University, Riyadh, Saudi Arabia
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Hazlehurst MF, Dearborn LC, Sherris AR, Loftus CT, Adgent MA, Szpiro AA, Ni Y, Day DB, Kaufman JD, Thakur N, Wright RJ, Sathyanarayana S, Carroll KN, Moore PE, Karr CJ. Long-term ozone exposure and lung function in middle childhood. ENVIRONMENTAL RESEARCH 2024; 241:117632. [PMID: 37967704 PMCID: PMC11067856 DOI: 10.1016/j.envres.2023.117632] [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: 09/08/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND Ozone (O3) exposure interrupts normal lung development in animal models. Epidemiologic evidence further suggests impairment with higher long-term O3 exposure across early and middle childhood, although study findings to date are mixed and few have investigated vulnerable subgroups. METHODS Participants from the CANDLE study, a pregnancy cohort in Shelby County, TN, in the ECHO-PATHWAYS Consortium, were included if children were born at gestational age >32 weeks, completed a spirometry exam at age 8-9, and had a valid residential history from birth to age 8. We estimated lifetime average ambient O3 exposure based on each child's residential history from birth to age 8, using a validated fine-resolution spatiotemporal model. Spirometry was performed at the age 8-9 year study visit to assess Forced Expiratory Volume in the first second (FEV1) and Forced Vital Capacity (FVC) as primary outcomes; z-scores were calculated using sex-and-age-specific reference equations. Linear regression with robust variance estimators was used to examine associations between O3 exposure and continuous lung function z-scores, adjusted for child, sociodemographic, and home environmental factors. Potential susceptible subgroups were explored using a product term in the regression model to assess effect modification by child sex, history of bronchiolitis in infancy, and allergic sensitization. RESULTS In our sample (n = 648), O3 exposure averaged from birth to age 8 was modest (mean 26.6 [SD 1.1] ppb). No adverse associations between long-term postnatal O3 exposure were observed with either FEV1 (β = 0.12, 95% CI: -0.04, 0.29) or FVC (β = 0.03, 95% CI: -0.13, 0.19). No effect modification by child sex, history of bronchiolitis in infancy, or allergic sensitization was detected for associations with 8-year average O3. CONCLUSIONS In this sample with low O3 concentrations, we did not observe adverse associations between O3 exposures averaged from birth to age 8 and lung function in middle childhood.
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Affiliation(s)
- Marnie F Hazlehurst
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA.
| | - Logan C Dearborn
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
| | - Allison R Sherris
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
| | - Christine T Loftus
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
| | - Margaret A Adgent
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam A Szpiro
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Yu Ni
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA; School of Public Health, College of Health and Human Services, San Diego State University, San Diego, CA, USA
| | - Drew B Day
- Center for Child Health, Behavior, and Development of Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, USA
| | - Joel D Kaufman
- Departments of Epidemiology and of Environmental and Occupational Health Sciences, School of Public Health, and Department of Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Neeta Thakur
- Division of Pulmonary and Critical Care Medicine, School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Rosalind J Wright
- Departments of Pediatrics and of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sheela Sathyanarayana
- Department of Pediatrics, School of Medicine and Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, and Seattle Children's Research Institute, Seattle, WA, USA
| | - Kecia N Carroll
- Departments of Pediatrics and of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Paul E Moore
- Division of Allergy, Immunology, and Pulmonary Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Catherine J Karr
- Department of Pediatrics, School of Medicine and Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
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Enane LA, Duda SN, Chanyachukul T, Bolton-Moore C, Navuluri N, Messou E, Mbonze N, McDade LR, Figueiredo MC, Ross J, Evans D, Diero L, Akpata R, Zotova N, Freeman A, Pierre MF, Rupasinghe D, Ballif M, Byakwaga H, de Castro N, Tabala M, Sterling TR, Sohn AH, Fenner L, Wools-Kaloustian K, Poda A, Yotebieng M, Huebner R, Marcy O. The Tuberculosis Sentinel Research Network (TB-SRN) of the International epidemiology Databases to Evaluate AIDS (IeDEA): protocol for a prospective cohort study in Africa, Southeast Asia and Latin America. BMJ Open 2024; 14:e079138. [PMID: 38195167 PMCID: PMC10806577 DOI: 10.1136/bmjopen-2023-079138] [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: 08/23/2023] [Accepted: 11/23/2023] [Indexed: 01/11/2024] Open
Abstract
INTRODUCTION Tuberculosis (TB) is a leading infectious cause of death globally. It is the most common opportunistic infection in people living with HIV, and the most common cause of their morbidity and mortality. Following TB treatment, surviving individuals may be at risk for post-TB lung disease. The TB Sentinel Research Network (TB-SRN) provides a platform for coordinated observational TB research within the International epidemiology Databases to Evaluate AIDS (IeDEA) consortium. METHODS AND ANALYSIS This prospective, observational cohort study will assess treatment and post-treatment outcomes of pulmonary TB (microbiologically confirmed or clinically diagnosed) among 2600 people aged ≥15 years, with and without HIV coinfection, consecutively enrolled at 16 sites in 11 countries, across 6 of IeDEA's global regions. Data regarding clinical and sociodemographic factors, mental health, health-related quality of life, pulmonary function, and laboratory and radiographic findings will be collected using standardised questionnaires and data collection tools, beginning from the initiation of TB treatment and through 12 months after the end of treatment. Data will be aggregated for proposed analyses. ETHICS AND DISSEMINATION Ethics approval was obtained at all implementing study sites, including the Vanderbilt University Medical Center Human Research Protections Programme. Participants will provide informed consent; for minors, this includes both adolescent assent and the consent of their parent or primary caregiver. Protections for vulnerable groups are included, in alignment with local standards and considerations at sites. Procedures for requesting use and analysis of TB-SRN data are publicly available. Findings from TB-SRN analyses will be shared with national TB programmes to inform TB programming and policy, and disseminated at regional and global conferences and other venues.
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Affiliation(s)
- Leslie A Enane
- The Ryan White Center for Pediatric Infectious Diseases and Global Health, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Indiana University Center for Global Health Equity, Indianapolis, Indiana, USA
| | - Stephany N Duda
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | | | - Neelima Navuluri
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
| | - Eugène Messou
- Centre de Prise en Charge de Recherche et de Formation (Aconda-CePReF), Abidjan, Côte d'Ivoire
| | - Nana Mbonze
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - LaQuita R McDade
- Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Marina Cruvinel Figueiredo
- Vanderbilt Tuberculosis Center, Division of Infectious Diseases, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jeremy Ross
- TREAT Asia/amfAR - The Foundation for AIDS Research, Bangkok, Thailand
| | - Denise Evans
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lameck Diero
- Department of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Natalia Zotova
- Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Aimee Freeman
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Marie Flore Pierre
- The Haitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti
| | | | - Marie Ballif
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Helen Byakwaga
- Mbarara University of Science and Technology Faculty of Medicine, Mbarara, Uganda
| | | | - Martine Tabala
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Timothy R Sterling
- Vanderbilt Tuberculosis Center, Division of Infectious Diseases, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Annette H Sohn
- TREAT Asia/amfAR - The Foundation for AIDS Research, Bangkok, Thailand
| | - Lukas Fenner
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Kara Wools-Kaloustian
- Indiana University Center for Global Health Equity, Indianapolis, Indiana, USA
- Division of Infectious Diseases, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Armel Poda
- Centre Hospitalier Universitaire Sourô Sanou, Bobo Dioulasso, Burkina Faso
| | - Marcel Yotebieng
- Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Robin Huebner
- Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
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Foreman MG, Idris MY, Pemu P, Miles-Richardson S, Flenaugh EL, Kittles R. Race-based Reference Equation for Lung Function Testing in African Americans. Am J Respir Crit Care Med 2024; 209:115-116. [PMID: 37195273 PMCID: PMC10870884 DOI: 10.1164/rccm.202303-0590le] [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: 05/18/2023] Open
Affiliation(s)
- Marilyn G. Foreman
- Department of Medicine, Pulmonary and Critical Care Medicine
- Center of Excellence on Data Standards in Clinical Medicine
| | - Muhammed Y. Idris
- Department of Medicine, Pulmonary and Critical Care Medicine
- Center of Excellence on Data Standards in Clinical Medicine
| | - Priscilla Pemu
- Department of Medicine, Pulmonary and Critical Care Medicine
- Clinical Trials Center of Excellence
| | - Stephanie Miles-Richardson
- Department of Community Health and Preventive Medicine, and
- Center of Excellence on Environment and Climate Impact on Health, Morehouse School of Medicine, Atlanta, Georgia
| | | | - Rick Kittles
- Department of Community Health and Preventive Medicine, and
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41
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Wang RJ. The Race Arithmetic of the Global Lung Function Initiative Global Reference Equations. Am J Respir Crit Care Med 2024; 209:112-113. [PMID: 37193658 PMCID: PMC10870888 DOI: 10.1164/rccm.202303-0565le] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 05/16/2023] [Indexed: 05/18/2023] Open
Affiliation(s)
- Richard J Wang
- Department of Medicine, University of California, San Francisco, San Francisco, California
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Bhakta NR, Bime C, Kaminsky DA, McCormack MC, Stanojevic S, Burney P. Reply to Haynes and to Wang. Am J Respir Crit Care Med 2024; 209:118-119. [PMID: 37595270 PMCID: PMC10870891 DOI: 10.1164/rccm.202308-1315le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 08/17/2023] [Indexed: 08/20/2023] Open
Affiliation(s)
- Nirav R. Bhakta
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Christian Bime
- The College of Medicine, University of Arizona Health Sciences, Tucson, Arizona
| | | | | | - Sanja Stanojevic
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada; and
| | - Peter Burney
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
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Ekström M, Backman H, Mannino D. Clinical Implications of the Global Lung Function Initiative Race-Neutral Spirometry Reference Equations in Terms of Breathlessness and Mortality. Am J Respir Crit Care Med 2024; 209:104-106. [PMID: 37187171 DOI: 10.1164/rccm.202212-2229le] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023] Open
Affiliation(s)
- Magnus Ekström
- Faculty of Medicine, Department of Clinical Sciences Lund, Respiratory Medicine and Allergology, Lund University, Lund, Sweden
| | - Helena Backman
- Department of Public Health and Clinical Medicine, Section for Sustainable Health, the Obstructive Lung Disease in Northern Sweden Unit, Umeå University, Umeå, Sweden
| | - David Mannino
- Department of Medicine, University of Kentucky College of Medicine, Lexington, Kentucky; and
- COPD Foundation, Washington, District of Columbia
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Regan EA, Lowe ME, Make BJ, Curtis JL, Chen Q(G, Crooks JL, Wilson C, Oates GR, Gregg RW, Baldomero AK, Bhatt SP, Diaz AA, Benos PV, O’Brien JK, Young KA, Kinney GL, Conrad DJ, Lowe KE, DeMeo DL, Non A, Cho MH, Kallet J, Foreman MG, Westney GE, Hoth K, MacIntyre NR, Hanania NA, Wolfe A, Amaza H, Han M, Beaty TH, Hansel NN, McCormack MC, Balasubramanian A, Crapo JD, Silverman EK, Casaburi R, Wise RA. Early Evidence of Chronic Obstructive Pulmonary Disease Obscured by Race-Specific Prediction Equations. Am J Respir Crit Care Med 2024; 209:59-69. [PMID: 37611073 PMCID: PMC10870894 DOI: 10.1164/rccm.202303-0444oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/23/2023] [Indexed: 08/25/2023] Open
Abstract
Rationale: The identification of early chronic obstructive pulmonary disease (COPD) is essential to appropriately counsel patients regarding smoking cessation, provide symptomatic treatment, and eventually develop disease-modifying treatments. Disease severity in COPD is defined using race-specific spirometry equations. These may disadvantage non-White individuals in diagnosis and care. Objectives: Determine the impact of race-specific equations on African American (AA) versus non-Hispanic White individuals. Methods: Cross-sectional analyses of the COPDGene (Genetic Epidemiology of Chronic Obstructive Pulmonary Disease) cohort were conducted, comparing non-Hispanic White (n = 6,766) and AA (n = 3,366) participants for COPD manifestations. Measurements and Main Results: Spirometric classifications using race-specific, multiethnic, and "race-reversed" prediction equations (NHANES [National Health and Nutrition Examination Survey] and Global Lung Function Initiative "Other" and "Global") were compared, as were respiratory symptoms, 6-minute-walk distance, computed tomography imaging, respiratory exacerbations, and St. George's Respiratory Questionnaire. Application of different prediction equations to the cohort resulted in different classifications by stage, with NHANES and Global Lung Function Initiative race-specific equations being minimally different, but race-reversed equations moving AA participants to more severe stages and especially between the Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage 0 and preserved ratio impaired spirometry groups. Classification using the established NHANES race-specific equations demonstrated that for each of GOLD stages 1-4, AA participants were younger, had fewer pack-years and more current smoking, but had more exacerbations, shorter 6-minute-walk distance, greater dyspnea, and worse BODE (body mass index, airway obstruction, dyspnea, and exercise capacity) scores and St. George's Respiratory Questionnaire scores. Differences were greatest in GOLD stages 1 and 2. Race-reversed equations reclassified 774 AA participants (43%) from GOLD stage 0 to preserved ratio impaired spirometry. Conclusions: Race-specific equations underestimated disease severity among AA participants. These effects were particularly evident in early disease and may result in late detection of COPD.
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Affiliation(s)
| | - Melissa E. Lowe
- Biostatistics, Duke Cancer Center, Duke University Medical Center, Durham, North Carolina
| | - Barry J. Make
- Division of Pulmonary, Critical Care and Sleep Medicine
| | - Jeffrey L. Curtis
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Michigan
- Medical Service, Veterans Affairs Medical Center, Ann Arbor, Michigan
| | | | - James L. Crooks
- Division of Biostatistics and Bioinformatics
- Department of Immunology and Genomic Medicine, and
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado
| | - Carla Wilson
- Research Informatics Services, National Jewish Health, Denver, Colorado
| | | | - Robert W. Gregg
- Department of Epidemiology, University of Florida, Gainesville, Florida
| | - Arianne K. Baldomero
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Surya P. Bhatt
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | | | | | | | - Kendra A. Young
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado
| | - Gregory L. Kinney
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado
| | | | - Katherine E. Lowe
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve School of Medicine, Cleveland, Ohio
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amy Non
- Department of Anthropology, University of California, San Diego, La Jolla, California
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Marilyn G. Foreman
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Morehouse College, Atlanta, Georgia
| | - Gloria E. Westney
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Morehouse College, Atlanta, Georgia
| | - Karin Hoth
- Department of Psychiatry and
- Iowa Neuroscience Institute, University of Iowa, Iowa City, Iowa
| | - Neil R. MacIntyre
- Division of Pulmonary, Allergy and Critical Care Medicine, Duke University, Durham, North Carolina
| | - Nicola A. Hanania
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, Baylor University, Houston, Texas
| | - Amy Wolfe
- Section of Pulmonology and Critical Care, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | | | - MeiLan Han
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Michigan
| | - Terri H. Beaty
- Department of Epidemiology, Bloomberg School of Public Health, and
| | - Nadia N. Hansel
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland; and
| | - Meredith C. McCormack
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland; and
| | - Aparna Balasubramanian
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland; and
| | | | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Richard Casaburi
- Rehabilitation Clinical Trials Center, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Robert A. Wise
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland; and
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45
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Baugh A, Buhr RG, Bush A, Foreman M, Mannino DM. Strategies to Classify Lung Function: It's Not Black and White. Am J Respir Crit Care Med 2024; 209:19-20. [PMID: 37878872 PMCID: PMC10870882 DOI: 10.1164/rccm.202305-0807vp] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 10/25/2023] [Indexed: 10/27/2023] Open
Affiliation(s)
- Aaron Baugh
- College of Medicine, University of California, San Francisco, San Francisco, California
| | - Russell G. Buhr
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Andrew Bush
- Imperial Centre for Paediatrics and Child Health, Imperial College, London, United Kingdom
| | - Marilyn Foreman
- Pulmonary and Critical Care Medicine Division, Morehouse School of Medicine, Atlanta, Georgia
- Novartis Beacon of Hope Center of Excellence for Data Standards in Clinical Medicine, Atlanta, Georgia; and
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46
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Bowerman C, Bhakta NR, Brazzale D, Cooper BG, Cooper J, Gochicoa-Rangel L, Haynes J, Kaminsky DA, Lan LTT, Masekela R, McCormack MC, Steenbruggen I, Stanojevic S. Reply to: The Race Arithmetic of the Global Lung Function Initiative Global Reference Equations. Am J Respir Crit Care Med 2024; 209:114-115. [PMID: 37193659 PMCID: PMC10870871 DOI: 10.1164/rccm.202304-0729le] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 05/16/2023] [Indexed: 05/18/2023] Open
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, Victoria, Australia
| | - Brendan G. 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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47
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Backman H, Ekström M. Interpretative Implications of Not Adjusting for Race: A Switch to the Global Lung Function Initiative Global Spirometry Equations. Am J Respir Crit Care Med 2024; 209:10-12. [PMID: 37555753 PMCID: PMC10870887 DOI: 10.1164/rccm.202307-1245ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 08/08/2023] [Indexed: 08/10/2023] Open
Affiliation(s)
- Helena Backman
- Department of Public Health and Clinical Medicine Umeå University Umeå, Sweden
| | - Magnus Ekström
- Department of Clinical Sciences Lund Lund University Lund, Sweden
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48
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Wang RJ. Beyond Race-Specific Spirometry Reference Equations: What Comes Next? Am J Respir Crit Care Med 2024; 209:117-118. [PMID: 37595271 PMCID: PMC10870874 DOI: 10.1164/rccm.202305-0921le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/17/2023] [Indexed: 08/20/2023] Open
Affiliation(s)
- Richard J Wang
- Department of Medicine, University of California, San Francisco, San Francisco, California
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49
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Högman M, Bowerman C, Chavez L, Dressel H, Malinovschi A, Radtke T, Stanojevic S, Steenbruggen I, Turner S, Dinh-Xuan AT. ERS technical standard: Global Lung Function Initiative reference values for exhaled nitric oxide fraction ( F ENO50 ). Eur Respir J 2024; 63:2300370. [PMID: 37973177 DOI: 10.1183/13993003.00370-2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 09/22/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Elevated exhaled nitric oxide fraction at a flow rate of 50 mL·s-1 (F ENO50 ) is an important indicator of T-helper 2-driven airway inflammation and may aid clinicians in the diagnosis and monitoring of asthma. This study aimed to derive Global Lung Function Initiative reference equations and the upper limit of normal for F ENO50 . METHODS Available individual F ENO50 data were collated and harmonised using consensus-derived variables and definitions. Data collected from individuals who met the harmonised definition of "healthy" were analysed using the generalised additive models of location, scale and shape (GAMLSS) technique. RESULTS Data were retrospectively collated from 34 782 individuals from 34 sites in 15 countries, of whom 8022 met the definition of healthy (19 sites, 11 countries). Overall, height, age and sex only explained 12% of the between-subject variability of F ENO50 (R2=0.12). F ENO device was neccessary as a predictor of F ENO50 , such that the healthy range of values and the upper limit of normal varied depending on which device was used. The range of F ENO50 values observed in healthy individuals was also very wide, and the heterogeneity was partially explained by the device used. When analysing a subset of data in which F ENO50 was measured using the same device and a stricter definition of health (n=1027), between-site heterogeneity remained. CONCLUSION Available F ENO50 data collected from different sites using different protocols and devices were too variable to develop a single all-age reference equation. Further standardisation of F ENO devices and measurement are required before population reference values might be derived.
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Affiliation(s)
- Marieann Högman
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Cole Bowerman
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| | - Luis Chavez
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| | - Holger Dressel
- Division of Occupational and Environmental Medicine, Epidemiology, Biostatistics and Prevention Institute, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Andrei Malinovschi
- Department of Medical Sciences, Clinical Physiology, Uppsala University, Uppsala, Sweden
| | - Thomas Radtke
- Division of Occupational and Environmental Medicine, Epidemiology, Biostatistics and Prevention Institute, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Sanja Stanojevic
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| | | | - Steve Turner
- Women and Children Division, NHS Grampian, Aberdeen, UK
- Child Health, University of Aberdeen, Aberdeen, UK
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50
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Kanj AN, Scanlon PD, Yadav H, Smith WT, Herzog TL, Bungum A, Poliszuk D, Fick E, Lee AS, Niven AS. Application of Global Lung Function Initiative Global Spirometry Reference Equations across a Large, Multicenter Pulmonary Function Lab Population. Am J Respir Crit Care Med 2024; 209:83-90. [PMID: 37523681 PMCID: PMC10870880 DOI: 10.1164/rccm.202303-0613oc] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 07/31/2023] [Indexed: 08/02/2023] Open
Abstract
Rationale: Global Lung Function Initiative (GLI) Global spirometry reference equations were recently derived to offer a "race-neutral" interpretation option. The impact of transitioning from the race-specific GLI-2012 to the GLI Global reference equations is unknown. Objectives: Describe the direction and magnitude of changes in predicted lung function measurements in a population of diverse race and ethnicity using GLI Global in place of GLI-2012 reference equations. Methods: In this multicenter cross-sectional study using a large pulmonary function laboratory database, 109,447 spirometry tests were reanalyzed using GLI Global reference equations and compared with the existing GLI-2012 standard, stratified by self-reported race and ethnicity. Measurements and Main Results: Mean FEV1 and FVC percent predicted increased in the White and Northeast Asian groups and decreased in the Black, Southeast Asian, and mixed/other race groups. The prevalence of obstruction increased by 9.7% in the White group, and prevalences of possible restriction increased by 51.1% and 37.1% in the Black and Southeast Asian groups, respectively. Using GLI Global in a population with equal representation of all five race and ethnicity groups altered the interpretation category for 10.2% of spirometry tests. Subjects who self-identified as Black were the only group with a relative increase in the frequency of abnormal spirometry test results (32.9%). Conclusions: The use of GLI Global reference equations will significantly impact spirometry interpretation. Although GLI Global offers an innovative approach to transition from race-specific reference equations, it is important to recognize the continued need to place these data within an appropriate clinical context.
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Affiliation(s)
- Amjad N. Kanj
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - Paul D. Scanlon
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - Hemang Yadav
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - William T. Smith
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - Tyler L. Herzog
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - Aaron Bungum
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - Daniel Poliszuk
- Information Technology, Mayo Clinic, Rochester, Minnesota; and
| | - Edward Fick
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - Augustine S. Lee
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Jacksonville, Florida
| | - Alexander S. Niven
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
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