{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T19:02:21Z","timestamp":1793300541921,"version":"4.5.0"},"reference-count":49,"publisher":"American Medical Association (AMA)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"\n Importance<\/jats:title>\n Race and ethnicity are routinely used to inform pulmonary function test (PFT) interpretation. However, there is no biological justification for such use, and it may reinforce health disparities.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n To compare the PFT interpretations produced with race-neutral and race-specific equations.<\/jats:p>\n <\/jats:sec>\n \n Design, Setting, and Participants<\/jats:title>\n In this cross-sectional study, race-neutral reference equations recently developed by the Global Lung Function Initiative (GLI) were used to interpret PFTs performed at an academic medical center between January 2010 and December 2020. The interpretations produced with these race-neutral reference equations were compared with those produced using the race and ethnicity\u2013specific reference equations produced by GLI in 2012. The analysis was conducted from April to October 2022.<\/jats:p>\n <\/jats:sec>\n \n Main Outcomes and Measures<\/jats:title>\n The primary outcomes were differences in the percentage of obstructive, restrictive, mixed, and nonspecific lung function impairments identified using the 2 sets of reference equations. Secondary outcomes were differences in severity of these impairments.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n PFTs were interpreted from 2722 Black (686 men [25.4%]; mean [SD] age, 51.8 [13.9] years) and 5709 White (2654 men [46.5%]; mean [SD] age, 56.4 [14.3] years) individuals. Among Black individuals, replacing the race-specific reference equations with the race-neutral reference equations was associated with an increase in the prevalence of restriction from 26.8% (95% CI, 25.2%-28.5%) to 37.5% (95% CI, 35.7%-39.3%) and of a nonspecific pattern of impairment from 3.2% (95% CI, 2.5%- 3.8%) to 6.5% (95% CI, 5.6%-7.4%) and no significant change in the prevalence of obstruction (19.9% [95% CI, 18.4%-21.4%] vs 19.5% [95% CI, 18.0%-21.0%]). Among White individuals, replacing the race-specific reference equations with the race-neutral reference equations was associated with a decrease in the prevalence of restriction from 22.6% (95% CI, 21.5%-23.6%) to 18.0% (95% CI, 17.0%-19.0%), a decrease in the prevalence of a nonspecific pattern of impairment from 8.7% (95% CI, 7.9%-9.4%) to 4.0% (95% CI, 3.5%-4.5%), and no significant change in the percentage with obstruction from 23.9% (95% CI, 22.8%-25.1%) to 25.1% (95% CI, 23.9%- 26.2%). The race-neutral reference equations were associated with an increase in severity in 22.8% (95% CI, 21.2%-24.4%) of Black individuals and a decrease in severity in 19.3% (95% CI, 18.2%-20.3%) of White individuals vs the race-specific reference equations.<\/jats:p>\n <\/jats:sec>\n \n Conclusions and Relevance<\/jats:title>\n In this cross-sectional study, the use of race-neutral reference equations to interpret PFTs resulted in a significant increase in the number of Black individuals with respiratory impairments along with a significant increase in the severity of the identified impairments. More work is needed to quantify the effect these reference equations would have on diagnosis, referral, and treatment patterns.<\/jats:p>\n <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2023.16174","type":"journal-article","created":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T11:33:04Z","timestamp":1685619184000},"page":"e2316174","source":"Crossref","is-referenced-by-count":99,"title":["Global, Race-Neutral Reference Equations and Pulmonary Function Test Interpretation"],"prefix":"10.1001","volume":"6","author":[{"given":"Alexander T.","family":"Moffett","sequence":"first","affiliation":[{"name":"Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Philadelphia"},{"name":"Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia"},{"name":"Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cole","family":"Bowerman","sequence":"additional","affiliation":[{"name":"Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada"},{"name":"Michael G. 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Medicine, University of Pennsylvania, Philadelphia"},{"name":"Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia"},{"name":"Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia"},{"name":"Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia"},{"name":"Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gary E.","family":"Weissman","sequence":"additional","affiliation":[{"name":"Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Philadelphia"},{"name":"Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia"},{"name":"Leonard Davis Institute of Health Economics, University of Pennsylvania, 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