Chronic Obstructive Pulmonary Disease Assessment Test Can Predict Depression: A Prospective Multi-Center Study
- Authors
- Lee, Young Seok; Park, Sunghoon; Oh, Yeon-Mok; Lee, Sang-Do; Park, Sung-Woo; Kim, Young Sam; In, Kwang Ho; Jung, Bock Hyun; Lee, Kwan Ho; Ra, Seung Won; Hwang, Yong Il; Park, Yong-Bum; Jung, Ki-Suck
- Issue Date
- 7월-2013
- Publisher
- KOREAN ACAD MEDICAL SCIENCES
- Keywords
- Pulmonary Disease, Chronic Obstructive; COPD Assessment Test; Depression
- Citation
- JOURNAL OF KOREAN MEDICAL SCIENCE, v.28, no.7, pp.1048 - 1054
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- JOURNAL OF KOREAN MEDICAL SCIENCE
- Volume
- 28
- Number
- 7
- Start Page
- 1048
- End Page
- 1054
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/102903
- DOI
- 10.3346/jkms.2013.28.7.1048
- ISSN
- 1011-8934
- Abstract
- This study was conducted to investigate the association between the chronic obstructive pulmonary disease (COPD) assessment test (CAT) and depression in COPD patients. The Korean versions of the CAT and patient health questionnaire-9 (PHQ-9) were used to assess COPD symptoms and depressive disorder, respectively. In total, 803 patients with COPD were enrolled from 32 hospitals and the prevalence of depression was 23.8%. The CAT score correlated well with the PHQ-9 score (r=0.631; P<0.001) and was significantly associated with the presence of depression (beta +/- standard error, 0.452 +/- 0.020; P<0.001). There was a tendency toward increasing severity of depression in patients with higher CAT scores. By assessment groups based on the 2011 Global Initiative for Chronic Obstructive Lung Disease guidelines, the prevalence of depression was affected more by current symptoms than by airway limitation. The area under the receiver operating characteristic curve for the CAT was 0.849 for predicting depression, and CAT scores >= 21 had the highest accuracy rate (80.6%). Among the eight CAT items, energy score showed the best correlation and highest power of discrimination. CAT scores are significantly associated with the presence of depression and have good performance for predicting depression in COPD patients.
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