4.1 Article

Components of the COPD Assessment Test (CAT) associated with a diagnosis of COPD in a random population sample

出版社

TAYLOR & FRANCIS INC
DOI: 10.3109/15412555.2011.650802

关键词

COPD diagnosis; Spirometry; Screening; Questionnaire; Dyspnea

资金

  1. CIHR/RxD [93326]
  2. Department of Medicine, Queen's University
  3. AstraZeneca
  4. GlaxoSmithKline
  5. Boehringer Ingelheim
  6. Pfizer
  7. Telacris
  8. Research Institute of the McGill University Health Centre
  9. Merck
  10. Novartis
  11. Nycomed
  12. Queen's University

向作者/读者索取更多资源

The aim of this study was to determine if components of the COPD Assessment Test (CAT), a validated health status impairment instrument, had additional utility in identifying patients at risk for COPD in whom spirometry testing is appropriate. This study was part of the Canadian Obstructive Lung Disease prevalence study. Consenting participants >= 40 years of age were identified by random digit dialing. Smoking history, 8-item CAT scores, and post-bronchodilator spirometry were recorded for each. Stepwise logistic regression analysis was used to identify variables related to the presence of airway obstruction and a final logistic model was developed which best predicted COPD in this sample. Of the 801 individuals approached, 532 were included: 51 (9.6%) had COPD, the majority (92%) of whom fit GOLD I or II severity criteria. Items that correlated significantly with a COPD diagnosis included the CAT total score (p = 0.01) and its breathlessness (p < 0.0001) and phlegm (p = 0.001) components. The final logistic model included: age (<55 or >= 55 years), smoking status (current, former, never) and the CAT breathlessness score (ordinal scale 0-5). The area under the receiver-operating characteristic curve for this model was 0.77, sensitivity was 77.6%, specificity was 64.9% and the positive likelihood ratio was 2.21. In summary, the triad of smoking history, age at least 55 years and the presence of exertional breathlessness were key elements of a simple model which had reliable measurement properties when tested in a random population. This may help identify patients at risk for COPD for whom spirometry testing is recommended.

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