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A Race-neutral Approach to the Interpretation of Lung Function Measurements.

Authors :
Bowerman, Cole
Bhakta, Nirav R.
Brazzale, Danny
Cooper, Brendan R.
Cooper, Julie
Gochicoa-Rangel, Laura
Haynes, Jeffrey
Kaminsky, David A.
Le Thi Tuyet Lan
Masekela, Refiloe
McCormack, Meredith C.
Steenbruggen, Irene
Stanojevic, Sanja
Lan, Le Thi Tuyet
Source :
American Journal of Respiratory & Critical Care Medicine; 3/15/2023, Vol. 207 Issue 6, p768-774, 17p
Publication Year :
2023

Abstract

<bold>Rationale: </bold>The use of self-reported race/ethnicity to interpret lung function measurements has historically assumed that the observed differences in lung function between racial and ethnic group were due to thoracic cavity size differences relative to standing height. Very few studies have considered the influence of environmental and social determinants on pulmonary function. Consequently, the use of race and ethnicity specific reference equations may further marginalize disadvantaged populations.<bold>Objective: </bold>To develop a race-neutral reference equation for spirometry interpretation.<bold>Methods: </bold>NHANES III data (n=6,984) were re-analyzed with sitting height and the Cormic index to investigate whether body proportions were better predictors of lung function than race and ethnicity. Further, the original Global Lung Function Initiative (GLI) data (n= 74,185) were re-analyzed with inverse-probability weights to create race-neutral GLI Global (2022) equations.<bold>Measurements and Main Results: </bold>The inclusion of sitting height slightly improved statistical precision of reference equations compared with using standing height alone, but did not explain observed differences in spirometry between the NHANES III race and ethnic groups. GLI-Global (2022) equations, which do not require the selection of race and ethnicity, had similar fit to the GLI-2012 'other' equations and wider limits of normal.<bold>Conclusions: </bold>The use of a single "Global" spirometry equation reflects the wide range of lung function observed within and between populations. Given the inherent limitations of any reference equation, the use of GLI Global equations to interpret spirometry requires careful consideration of an individual's symptoms and medical history when used to make clinical, employment, and insurance decisions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1073449X
Volume :
207
Issue :
6
Database :
Complementary Index
Journal :
American Journal of Respiratory & Critical Care Medicine
Publication Type :
Academic Journal
Accession number :
162478081
Full Text :
https://doi.org/10.1164/rccm.202205-0963OC