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Nevin Manimala Statistics

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

Am J Respir Crit Care Med. 2022 Nov 16. doi: 10.1164/rccm.202205-0963OC. Online ahead of print.

ABSTRACT

RATIONALE: 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.

OBJECTIVE: To develop a race-neutral reference equation for spirometry interpretation.

METHODS: 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.

MEASUREMENTS AND MAIN RESULTS: 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.

CONCLUSIONS: The use of a single “Global” spirometry equation reflects the wide range of lung function observed within and between populations. Given the inherent limitations of any reference equation, the use of GLI Global equations to interpret spirometry requires careful consideration of an individual’s symptoms and medical history when used to make clinical, employment, and insurance decisions.

PMID:36383197 | DOI:10.1164/rccm.202205-0963OC

By Nevin Manimala

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