Publications by authors named "D C Meyers"

Asthma is a heterogeneous disease with variable presentation and characteristics. There is a critical need to identify underlying molecular endotypes of asthma. We performed the largest transcriptomic analysis of 808 bronchial epithelial cell (BEC) samples across 11 independent cohorts, including 3 cohorts from the Severe Asthma Research Program (SARP).

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Some research suggests that risk adjustment plays a substantial role in explaining the high levels of government spending on Medicare Advantage (MA). We studied whether the reliance on diagnosis codes to risk-adjust payments to MA plans leads to the inflation of submitted diagnoses. Our approach relied on a comparison among diagnoses included in hospital claims, health status measures from similarly timed health assessments completed by skilled nursing facility (SNF) clinicians, and short-term mortality data.

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Background: Current asthma guidelines, including those of the European Respiratory Society (ERS) and American Thoracic Society (ATS), suboptimally predict asthma remission, disease severity, and health-care utilisation. We aimed to establish a novel approach to assess asthma severity based on asthma health-care burden data.

Methods: We analysed prospectively collected data from the Severe Asthma Research Program III (SARP III; USA) and the European Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED; 11 European countries) to calculate a composite burden score based on asthma exacerbations and health-care utilisation, which was modified to include the use of short-acting beta agonists (SABAs) to reflect asthma symptom burden.

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Article Synopsis
  • Latin Americans are often overlooked in genetic studies, which can widen gaps in personalized medicine due to the challenges of accessing genetic data and consent processes.
  • The Genetics of Latin American Diversity (GLAD) Project compiles genetic information from over 53,000 individuals across various regions to explore diverse ancestry and gene flow in the Americas.
  • GLAD includes a tool called GLAD-match to align external genetic samples with its database while protecting individual privacy, thus supporting more inclusive genomic research and enhancing personalized medicine for Latin Americans.
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