Comparison of Race-Neutral versus Race-Specific Spirometry Equations for Evaluation of Child Asthma.
cross_sectional · Level IV
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- Record sourced from PubMed, PMID 39642347.
- Also identified by DOI 10.1164/rccm.202407-1288OC and PMC identifier 11936140.
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Abstract
<b>Rationale:</b> Race-based estimates of pulmonary function in children could influence the evaluation of asthma in children from racial and ethnic minoritized backgrounds. <b>Objectives:</b> To determine if race-neutral (Global Lung Function Initiative [GLI]-Global) versus race-specific (GLI-Race-Specific) reference equations differentially impact spirometry evaluation of childhood asthma. <b>Methods:</b> The analysis included 8,719 children aged 5 to <12 years from 27 cohorts across the United States grouped by parent-reported race and ethnicity. We analyzed how the equations affected FEV<sub>1</sub>, FVC, and FEV<sub>1</sub>/FVC <i>z</i>-scores. We used multivariable logistic models to evaluate associations between <i>z</i>-scores calculated with different equations and asthma diagnosis, emergency department visits, and hospitalization. <b>Measurements and Main Results:</b> For Black children, the GLI-Global versus GLI-Race-Specific equations estimated significantly lower <i>z</i>-scores for FEV<sub>1</sub> and FVC but similar values for FEV<sub>1</sub>/FVC, thus increasing the proportion of children classified with low FEV<sub>1</sub> by 14%. Although both equations yielded strong inverse relationships between FEV<sub>1</sub> and FEV<sub>1</sub>/FVC <i>z</i>-scores and asthma outcomes, these relationships varied across racial and ethnic groups (<i>P</i> < 0.05). For any given FEV<sub>1</sub> or FEV<sub>1</sub>/FVC <i>z</i>-score, asthma diagnosis and emergency department visits were higher among Black and Hispanic than among White children (<i>P</i> < 0.05). For FEV<sub>1</sub>, GLI-Global equations estimated asthma outcomes that were more uniform across racial and ethnic groups. <b>Conclusions:</b> Parent-reported race and ethnicity influenced relationships between lung function and asthma outcomes. Our data show no advantage to race-specific equations for evaluating childhood asthma, and the potential for race-specific equations to obscure lung impairment in disadvantaged children strongly supports using race-neutral equations.
Medical subject headings
- Asthma
- Racial Groups
- Spirometry