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Race/Ethnicity, Spirometry Reference Equations, and Prediction of Incident Clinical Events: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.
Elmaleh-Sachs, Arielle; Balte, Pallavi; Oelsner, Elizabeth C; Allen, Norrina B; Baugh, Aaron; Bertoni, Alain G; Hankinson, John L; Pankow, Jim; Post, Wendy S; Schwartz, Joseph E; Smith, Benjamin M; Watson, Karol; Barr, R Graham.
Afiliação
  • Elmaleh-Sachs A; Department of Medicine and.
  • Balte P; Department of Medicine and.
  • Oelsner EC; Department of Medicine and.
  • Allen NB; Department of Preventive Medicine, Northwestern University School of Medicine, Chicago, Illinois.
  • Baugh A; Department of Medicine, University of California, San Francisco, San Francisco, California.
  • Bertoni AG; Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.
  • Hankinson JL; Hankinson Consulting, Inc., Athens, Georgia.
  • Pankow J; Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota.
  • Post WS; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Schwartz JE; Department of Psychiatry and Behavioral Sciences, Stony Brook University, Stony Brook, New York; and.
  • Smith BM; Department of Medicine and.
  • Watson K; Department of Medicine, University of California, Los Angeles, Los Angeles, California.
  • Barr RG; Department of Medicine and.
Am J Respir Crit Care Med ; 205(6): 700-710, 2022 03 15.
Article em En | MEDLINE | ID: mdl-34913853
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, -0.005; 95% confidence interval [CI], -0.013 to 0.003; difference in C statistic for FVC, -0.008; 95% CI, -0.016 to -0.0006). Findings were similar for mortality (difference in C statistics for FEV1, -0.002; 95% CI, -0.008 to 0.003; difference in C statistics for FVC, -0.004; 95% CI, -0.009 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Etnicidade / Aterosclerose Tipo de estudo: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Etnicidade / Aterosclerose Tipo de estudo: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article