Physiologic insights from the COPD genetic epidemiology study

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

Research output: Contribution to journalReview article

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.

Original languageEnglish (US)
Pages (from-to)256-266
Number of pages11
JournalChronic Obstructive Pulmonary Diseases
Volume6
Issue number3
DOIs
Publication statusPublished - Jan 1 2019

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Keywords

  • Asthma-COPD overlap
  • Chronic obstructive pulmonary disease
  • COPD
  • COPD Genetic Epidemiology
  • COPDGene
  • Preserved Ratio Impaired Spirometry
  • PRISm

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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