Chronic Obstructive Pulmonary Diseases : Journal of the COPD Foundation Physiologic Insights from the COPD Genetic Epidemiology Study

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.

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[2]  E. Regan,et al.  Longitudinal Phenotypes and Mortality in Preserved Ratio Impaired Spirometry in the COPDGene Study , 2018, American journal of respiratory and critical care medicine.

[3]  Michael Eberlein,et al.  Predictive value of prebronchodilator and postbronchodilator spirometry for COPD features and outcomes , 2017, BMJ Open Respiratory Research.

[4]  Eric A Hoffman,et al.  Computed Tomography Measure of Lung at Risk and Lung Function Decline in Chronic Obstructive Pulmonary Disease , 2017, American journal of respiratory and critical care medicine.

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