Chest
Volume 156, Issue 2, August 2019, Pages 228-238
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Special Features
Clinical Epidemiology of COPD: Insights From 10 Years of the COPDGene Study

https://doi.org/10.1016/j.chest.2019.04.135Get rights and content

The Genetic Epidemiology of COPD (COPDGene) study is a noninterventional, multicenter, longitudinal analysis of > 10,000 subjects, including smokers with a ≥ 10 pack-year history with and without COPD and healthy never smokers. The goal was to characterize disease-related phenotypes and explore associations with susceptibility genes. The subjects were extensively phenotyped with the use of comprehensive symptom and comorbidity questionnaires, spirometry, CT scans of the chest, and genetic and biomarker profiling. The objective of this review was to summarize the major advances in the clinical epidemiology of COPD from the first 10 years of the COPDGene study. We highlight the influence of age, sex, and race on the natural history of COPD, and the impact of comorbid conditions, chronic bronchitis, exacerbations, and asthma/COPD overlap.

Section snippets

Genetic Findings in COPDGene

Identifying genetic determinants of COPD has been a major goal of the COPDGene study since its inception. Most genetic studies in COPDGene thus far have been based on genome-wide panels of hundreds of thousands of common genetic variants (known as single nucleotide polymorphisms), which have been tested in genome-wide association studies (GWAS) with the presence/absence of COPD and with multiple COPD-related phenotypes, including imaging features, clinical characteristics, COPD subtypes, and

Chronic Bronchitis

The importance of CB is frequently overlooked, particularly among patients with milder disease and those without airflow obstruction. CB is present in about one-quarter of the COPDGene participants with COPD and is associated with heightened exacerbation risk, worse health status, more dyspnea, and reduced 6-min walk distance compared with those without CB.6, 7, 8 In COPDGene, historical exacerbation rates were nearly twice as high in those with CB as in those without CB. St. George’s

Asthma/COPD Overlap

The heterogeneity of COPD and new therapies for asthma have resulted in a renewed interest in ACO. This patient population has been difficult to study because such patients are often excluded from both COPD and asthma studies. In COPDGene, the major inclusion criterion was a history of cigarette smoking, and subjects with a history of asthma were not excluded nor were they targeted for inclusion.1

Hardin et al12 identified 915 subjects with a COPD spirometric Global Initiative for Chronic

Impact of Sex, Race, and Age

Data from COPDGene describe the important sex and racial differences in the phenotypic expression of COPD. These differences translate into higher risk of disease severity, particularly in women. For example, patients with severe COPD (FEV1 < 50% predicted) diagnosed at an early age (< 55 years) revealed female predominance (66%) and association with maternal smoking and maternal COPD (Fig 1).16 It was also noted that the airways of female subjects who smoke exhibit higher wall area percentage

COPD Exacerbations

COPDGene used subject self-report to identify exacerbations in the 12 months prior to enrollment.1 Subsequent exacerbations during longitudinal follow-up were assessed by using automated telephone calls every 3 to 6 months.27 COPDGene evaluated exacerbations in relation to demographic characteristics, radiographic abnormalities, lung function, and biomarkers.

Although a previous study reported that exacerbations are associated with accelerated lung function decline, this study included subjects

Comorbidities

The extensive collection of data regarding comorbidities and medication exposure during the recruitment phase of COPDGene and the longitudinal design served as an ideal platform for evaluating the impact of coexisting diseases on patients with COPD and different degrees of severity. A self-reported list of current medications was obtained and comorbid conditions were ascertained based on subject recall of a physician diagnosis except for obesity, which was based on BMI and imaging.1

A study

Implications for Disease Classification and Treatment

The GOLD statement currently categorizes COPD based on lung function, the history of exacerbations, and respiratory symptoms.46 Although this classification has been widely accepted, evidence suggests that there are many different phenotypes of COPD beyond these three patient characteristics. COPDGene has provided further insights regarding the risk of specific outcomes (Fig 5). Some predictors are nonmodifiable, such as age, race, and sex, and the presence of CB and ACO. Others may be

Limitations

COPDGene has several limitations that deserve mention. First, several of the variables, such as previous exacerbations and comorbid conditions, were based on self-report and may be subject to recall bias or physician misdiagnosis; particularly in the setting of asthma, the diagnosis can be subject to misclassification. Second, the study is limited by the loss of some subjects during the follow-up time. This loss is common in longitudinal observational studies but may bias the estimations caused

Future Directions and Research Needs

COPDGene is ongoing, and phase III, recently funded by the NHLBI, will invite subjects to return for a third visit 10 years following their initial enrollment. The longitudinal evaluation of this richly characterized cohort will continue to provide additional information regarding the natural history of the disease and implications of subject characteristics on various outcomes. Because the subjects were assessed in a multidimensional fashion, demographic characteristics, symptom scores,

Acknowledgments

Financial/nonfinancial disclosures: The authors have reported to CHEST the following: D. J. M. reports consulting fees for GlaxoSmithKline, Sunovion, Sanofi/Regeneron, AstraZeneca, and Novartis. A. A. reports consultancy for Boehringer Ingelheim, AstraZeneca, Novartis, and Sunovion. S. P. B. is supported by the National Institutes of Health (NIH) [K23HL133438] and has received research grants from AstraZeneca and ProterixBio. R. P. B. reports consulting fees for Boehringer Ingelheim,

References (46)

  • E.K. Silverman et al.

    Opportunities and challenges in the genetics of COPD 2010: an International COPD Genetics Conference report

    COPD

    (2011)
  • M.G. Foreman et al.

    Alpha-1 antitrypsin PiMZ genotype is associated with chronic obstructive pulmonary disease in two racial groups

    Ann Am Thorac Soc

    (2017)
  • V. Kim et al.

    Clinical and computed tomographic predictors of chronic bronchitis in COPD: a cross sectional analysis of the COPDGene study

    Respir Res

    (2014)
  • V. Kim et al.

    Persistent and newly developed chronic bronchitis are associated with worse outcomes in chronic obstructive pulmonary disease

    Ann Am Thorac Soc

    (2016)
  • B.G. Ferris

    Epidemiology standardization project (American Thoracic Society)

    Am Rev Respir Dis

    (1978)
  • V. Kim et al.

    Comparison between an alternative and the classic definition of chronic bronchitis in COPDGene

    Ann Am Thorac Soc

    (2015)
  • M. Hardin et al.

    The clinical features of the overlap between COPD and asthma

    Respir Res

    (2011)
  • M. Hardin et al.

    The clinical and genetic features of COPD-asthma overlap syndrome

    Eur Respir J

    (2014)
  • J. Cosentino et al.

    Analysis of asthma-chronic obstructive pulmonary disease overlap syndrome defined on the basis of bronchodilator response and degree of emphysema

    Ann Am Thorac Soc

    (2016)
  • M.G. Foreman et al.

    Early-onset chronic obstructive pulmonary disease is associated with female sex, maternal factors, and African American race in the COPDGene study

    Am J Respir Crit Care Med

    (2011)
  • Y.I. Kim et al.

    Gender differences of airway dimensions in anatomically matched sites on CT in smokers

    COPD

    (2011)
  • R. Busch et al.

    Risk factors for COPD exacerbations in inhaled medication users: the COPDGene study biannual longitudinal follow-up prospective cohort

    BMC Pulm Med

    (2016)
  • I.C. Sørheim et al.

    Gender differences in COPD: are women more susceptible to smoking effects than men?

    Thorax

    (2010)
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