Physiologic insights from the COPD genetic epidemiology study

Academic Article

Abstract

  • © 2019 COPD Foundation. All rights reserved. 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.
  • Authors

    Digital Object Identifier (doi)

    Author List

  • Stringer WW; Porszasz J; Bhatt SP; McCormack MC; Make BJ; Casaburi R
  • Start Page

  • 256
  • End Page

  • 266
  • Volume

  • 6
  • Issue

  • 3