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It’s been well-documented that racial and ethnic disparities exist across many areas of healthcare. In recent years, however, the focus has begun to shift—from simply recognizing these disparities to actively addressing them. Nowhere is this more critical than in the tools and practices we use to diagnose and manage disease.
One such tool is the pulmonary function test (PFT), a standard test used to assess how well the lungs work (1). For over a decade, major medical organizations—including the American Thoracic Society (ATS)—have recommended using race- and ethnicity-specific reference equations to interpret these tests. The idea was to “normalize” expected lung function based on the patient’s racial or ethnic background (2, 3).
But this approach has a major flaw: race is a social construct, not a biological one. By embedding race into the very algorithms we use for diagnosis, we risk reinforcing the very disparities we're trying to dismantle.
The Problem with Race-Specific Equations
Using race-specific equations in pulmonary testing can unintentionally normalize lower lung function values in certain populations—particularly Black individuals. This can lead to underdiagnosis or delayed treatment of pulmonary conditions like asthma or COPD.
In fact, it wasn’t until 2022 that the Global Lung Function Initiative (GLI) released race-neutral average reference equations (GLI-Global and GLI-Other), and it was only in 2023 that the ATS and the European Respiratory Society (ERS) formally recommended transitioning to these updated equations (2).
What the Research Shows
A study by Rosenfeld and colleagues explored what happens when we stop adjusting pulmonary test results for race. They found that using the GLI-Global equations led to a higher average ppFEV1 (percent predicted forced expiratory volume in one second) in White patients (+4.6%) and a lower ppFEV1 in Black patients (-7.7%) (2).
This is significant. The decline seen in Black patients with the race-neutral model suggests that prior race-specific equations may have underestimated the severity of lung disease in this population (2). What was once considered "normal" for Black patients may have, in fact, masked serious illness (2).
Similarly, a study by Burbank and colleagues found that applying race-neutral spirometry equations led to more children being classified with uncontrolled asthma (ppFEV1 < 80%)—regardless of whether their asthma control test (ACT) labelled them as controlled (ACT >19) or uncontrolled (ACT ≤19). Among children with controlled asthma (measured by ACT score >19), those who shifted from “controlled” (≥80%) to “uncontrolled” (<80%) lung function also had significantly lower FEV1/FVC ratios, indicating worse airway obstruction (3).
What This Means for Health Equity
These findings highlight a stark reality: race-specific equations, though well-intended, may perpetuate disparities by obscuring the true burden of disease in certain racial and ethnic groups (2, 3).
Shifting to race-neutral reference equations is not just a technical correction—it’s a step toward more equitable healthcare. It allows us to detect disease earlier, treat it more effectively, and ensure that our diagnostic tools do not unintentionally reflect or reinforce systemic biases.
The Road Ahead
As the medical community continues to reevaluate long-standing practices, it’s vital to center health equity in our decisions. The adoption of race-neutral equations in pulmonary function testing is a powerful example of how evidence-based updates can drive more just and inclusive care.
While this transition is still unfolding, it represents meaningful progress in aligning science with social responsibility—and in ensuring that all patients, regardless of race, receive the care they truly need.
- Lung Function Tests [Online]. American Lung Association: [date unknown]. https://www.lung.org/lung-health-diseases/lung-procedures-and-tests/lung-function-tests [7 Oct. 2025].
- Rosenfeld M, Cromwell EA, Schechter MS, Ren C, Flume PA, Szczesniak RD, Morgan WJ, Jain R. The impact of switching to race-neutral reference equations on FEV1 percent predicted among people with cystic fibrosis,. Journal of Cystic Fibrosis 23: 443–449, 2024. doi: 10.1016/j.jcf.2024.03.013.
- Burbank AJ, Atkinson CE, Espaillat AE, Schworer SA, Mills K, Rooney J, Loughlin CE, Phipatanakul W, Hernandez ML. Race-specific spirometry equations may overestimate asthma control in Black children and adolescents. Respiratory Research 24: 203, 2023. doi: 10.1186/s12931-023-02505-3.
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