• BMC pulmonary medicine · Nov 2020

    Clinical Trial

    Chronic obstructive pulmonary disease prevalence and prediction in a high-risk lung cancer screening population.

    • John R Goffin, Gregory R Pond, Serge Puksa, Alain Tremblay, Michael Johnston, Glen Goss, Garth Nicholas, Simon Martel, Rick Bhatia, Geoffrey Liu, Heidi Schmidt, Sukhinder Atkar-Khattra, Annette McWilliams, Ming-Sound Tsao, Martin C Tammemagi, and Stephen Lam.
    • Department of Oncology, McMaster University, Juravinski Cancer Centre, 699 Concession St., Hamilton, ON, L8V 5C2, Canada. goffin@mcmaster.ca.
    • BMC Pulm Med. 2020 Nov 16; 20 (1): 300.

    BackgroundChronic obstructive pulmonary disease (COPD) is an underdiagnosed condition sharing risk factors with lung cancer. Lung cancer screening may provide an opportunity to improve COPD diagnosis. Using Pan-Canadian Early Detection of Lung Cancer (PanCan) study data, the present study sought to determine the following: 1) What is the prevalence of COPD in a lung cancer screening population? 2) Can a model based on clinical and screening low-dose CT scan data predict the likelihood of COPD?MethodsThe single arm PanCan study recruited current or former smokers age 50-75 who had a calculated risk of lung cancer of at least 2% over 6 years. A baseline health questionnaire, spirometry, and low-dose CT scan were performed. CT scans were assessed by a radiologist for extent and distribution of emphysema. With spirometry as the gold standard, logistic regression was used to assess factors associated with COPD.ResultsAmong 2514 recruited subjects, 1136 (45.2%) met spirometry criteria for COPD, including 833 of 1987 (41.9%) of those with no prior diagnosis, 53.8% of whom had moderate or worse disease. In a multivariate model, age, current smoking status, number of pack-years, presence of dyspnea, wheeze, participation in a high-risk occupation, and emphysema extent on LDCT were all statistically associated with COPD, while the overall model had poor discrimination (c-statistic = 0.627 (95% CI of 0.607 to 0.650). The lowest and the highest risk decile in the model predicted COPD risk of 27.4 and 65.3%.ConclusionsCOPD had a high prevalence in a lung cancer screening population. While a risk model had poor discrimination, all deciles of risk had a high prevalence of COPD, and spirometry could be considered as an additional test in lung cancer screening programs.Trial Registration(Clinical Trial Registration: ClinicalTrials.gov, number NCT00751660 , registered September 12, 2008).

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