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Race/Ethnicity, Spirometry Reference Equations, and Prediction of Incident Clinical Events :The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study

  • Arielle Elmaleh-Sachs
  • , Pallavi Balte
  • , Elizabeth C. Oelsner
  • , Norrina B. Allen
  • , Aaron Baugh
  • , Alain G. Bertoni
  • , John L. Hankinson
  • , Jim Pankow
  • , Wendy S. Post
  • , Joseph E. Schwartz
  • , Benjamin M. Smith
  • , Karol Watson
  • , R. Graham Barr

Research output: Contribution to journalArticlepeer-review

Abstract

Rationale: Normal values for FEV1 and FVC are currently calculated using cross-sectional reference equations that include terms for race/ethnicity, an approach that may reinforce disparities and is of unclear clinical benefit. Objectives: To determine whether race/ethnicity–based spirometry reference equations improve the prediction of incident chronic lower respiratory disease (CLRD) events and mortality compared with race/ethnicity–neutral equations. Methods: The MESA Lung Study, a population-based, prospective cohort study of White, Black, Hispanic, and Asian adults, performed standardized spirometry from 2004 to 2006. Predicted values for spirometry were calculated using race/ ethnicity–based equations following guidelines and, alternatively, race/ethnicity–neutral equations without terms for race/ethnicity. Participants were followed for events through 2019. Measurements and Main Results: The mean age of 3,344 participants was 65 years, and self-reported race/ethnicity was 36% White, 25% Black, 23% Hispanic, and 17% Asian. There were 181 incident CLRD-related events and 547 deaths over a median of 11.6 years. There was no evidence that percentage predicted FEV1 or FVC calculated using race/ethnicity–based equations improved the prediction of CLRD-related events compared with those calculated using race/ethnicity–neutral equations (difference in C statistics for FEV1, 20.005; 95% confidence interval [CI], 20.013 to 0.003; difference in C statistic for FVC, 20.008; 95% CI, 20.016 to 20.0006). Findings were similar for mortality (difference in C statistics for FEV1, 20.002; 95% CI, 20.008 to 0.003; difference in C statistics for FVC, 20.004; 95% CI, 20.009 to 0.001). Conclusions: There was no evidence that race/ethnicity–based spirometry reference equations improved the prediction of clinical events compared with race/ethnicity–neutral equations. The inclusion of race/ethnicity in spirometry reference equations should be reconsidered.

Original languageEnglish (US)
Pages (from-to)700-710
Number of pages11
JournalAmerican journal of respiratory and critical care medicine
Volume205
Issue number6
DOIs
StatePublished - Mar 15 2022

Bibliographical note

Funding Information:
Supported by NHLBI grants R01-HL077612, R01-HL093081, and R01-HL130506. Additional support was provided by Health Resources and Services Administration grant T32HP10260. MESA was supported by NHLBI contracts 75N92020D00001, HHSN268201500003I, N01-HC-95159, 75N92020D00005, N01-HC-95160, 75N92020D00002, N01-HC-95161, 75N92020D00003, N01-HC-95162, 75N92020D0006, N01-HC-95163, 75N92020D00004, N01-HC-95164, 75N92020D00007, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, and N01-HC-95169 and by National Center for Advancing Translational Sciences grants UL1-TR-000040, UL1-TR-001079, and UL1-TR-001420.

Publisher Copyright:
© 2022 by the American Thoracic Society

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • chronic lower respiratory disease
  • pulmonary function tests
  • race/ethnicity–based reference equations
  • racism
  • spirometry

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