학술논문
Reconsidering the Utility of Race-Specific Lung Function Prediction Equations.
Document Type
article
Author
Baugh, Aaron D; Shiboski, Stephen; Hansel, Nadia N; Ortega, Victor; Barjaktarevic, Igor; Barr, R Graham; Bowler, Russell; Comellas, Alejandro P; Cooper, Christopher B; Couper, David; Criner, Gerard; Curtis, Jeffrey L; Dransfield, Mark; Ejike, Chinedu; Han, MeiLan K; Hoffman, Eric; Krishnan, Jamuna; Krishnan, Jerry A; Mannino, David; Paine, Robert; Parekh, Trisha; Peters, Stephen; Putcha, Nirupama; Rennard, Stephen; Thakur, Neeta; Woodruff, Prescott G
Source
American Journal of Respiratory and Critical Care Medicine. 205(7)
Subject
Language
Abstract
Rationale: African American individuals have worse outcomes in chronic obstructive pulmonary disease (COPD). Objectives: To assess whether race-specific approaches for estimating lung function contribute to racial inequities by failing to recognize pathological decrements and considering them normal. Methods: In a cohort with and at risk for COPD, we assessed whether lung function prediction equations applied in a race-specific versus universal manner better modeled the relationship between FEV1, FVC, and other COPD outcomes, including the COPD Assessment Test, St. George's Respiratory Questionnaire, computed tomography percent emphysema, airway wall thickness, and 6-minute-walk test. We related these outcomes to differences in FEV1 using multiple linear regression and compared predictive performance between fitted models using root mean squared error and Alpaydin's paired F test. Measurements and Main Results: Using race-specific equations, African American individuals were calculated to have better lung function than non-Hispanic White individuals (FEV1, 76.8% vs. 71.8% predicted; P = 0.02). Using universally applied equations, African American individuals were calculated to have worse lung function. Using Hankinson's Non-Hispanic White equation, FEV1 was 64.7% versus 71.8% (P