Physiologic Insights from the COPD Genetic Epidemiology Study

William W Stringer; Janos Porszasz; Surya P Bhatt; Meredith C McCormack; Barry J Make; Richard Casaburi

doi:10.15326/jcopdf.6.3.2019.0128

Physiologic Insights from the COPD Genetic Epidemiology Study

Chronic Obstr Pulm Dis. 2019 Jul 24;6(3):256-266. doi: 10.15326/jcopdf.6.3.2019.0128.

Authors

William W Stringer¹, Janos Porszasz¹, Surya P Bhatt², Meredith C McCormack³, Barry J Make⁴, Richard Casaburi¹

Affiliations

¹ Los Angeles Biomedical Research Institute, Harbor-University of California, Los Angeles Medical Center, Torrance.
² Division of Pulmonary, Allergy, and Critical Care Medicine and Lung Health Center, University of Alabama, Birmingham.
³ Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland.
⁴ Department of Medicine, National Jewish Health, Denver, Colorado.

Abstract

COPD Genetic Epidemiology Study (COPDGene^®) manuscripts have provided important insights into chronic obstructive pulmonary disease (COPD) pathophysiology and outcomes, including a better understanding of COPD phenotypes relating computed tomography (CT) anatomic data to spirometric and patient-reported outcomes. Spirometry significantly underdiagnoses smoking-induced lung disease, and there is a marked improvement in sensitivity and specificity with CT scanning. This review also highlights the COPDGene^® exploration of specific spirometry phenotypes (e.g.,PRISm), contributors to spirometric decline, composite physiologic measures, asthma-COPD overlap (ACO) syndrome, consequences of bronchodilator responsiveness, newer methods to assess small airway dysfunction, and spirometric correlates of comorbid diseases such as obesity and diabetes.

Keywords: COPD Genetic Epidemiology; COPDGene; PRISm; Preserved Ratio Impaired Spirometry; asthma-COPD overlap; chronic obstructive pulmonary disease; copd.

Publication types

Review

Abstract

Publication types

Grants and funding