FEV1Q: a race-neutral approach to assessing lung function

种族(生物学) 肺功能 医学 社会学 性别研究 内科学
作者
Aparna Balasubramanian,Robert A. Wise,Sanja Stanojevic,Martin R. Miller,Meredith C. McCormack
出处
期刊:The European respiratory journal [European Respiratory Society]
卷期号:63 (4): 2301622-2301622 被引量:2
标识
DOI:10.1183/13993003.01622-2023
摘要

Background Forced expiratory volume in 1 s quotient (FEV 1 Q) is a simple approach to spirometry interpretation that compares measured lung function to a lower boundary. This study evaluated how well FEV 1 Q predicts survival compared with current interpretation methods and whether race impacts FEV 1 Q. 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. FEV 1 Q was calculated as FEV 1 divided by 0.4 L for females or 0.5 L for males. Cumulative distributions of FEV 1 were compared across races. Cox proportional hazards models tested mortality risk from FEV 1 Q adjusting for age, sex, height, smoking, income and among UNOS individuals, referral diagnosis. Harrell's C-statistics were compared between absolute FEV 1 , FEV 1 Q, FEV 1 /height 2 , FEV 1 z-scores and FEV 1 % 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 FEV 1 values did not differ between Black and White individuals in either population (FEV 1 first percentile difference ≤0.01 L; p>0.05). Decreasing FEV 1 Q 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 FEV 1 Q compared with alternative FEV 1 approaches in both Black and White individuals. Conclusions FEV 1 Q is an intuitive and simple race-neutral approach to interpreting FEV 1 that predicts survival better than current alternative methods.
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