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PMID: 25169844 Published · ppublish English Journal Article

COPD assessment tests scores are associated with exacerbated chronic obstructive pulmonary disease in Japanese patients.

Respiratory investigation ·Vol. 52 ·No. 5 ·2014-09-00 ·页码 288-95

Suetomo M, Kawayama T, Kinoshita T, Takenaka S, Matsuoka M, Matsunaga K, Hoshino T

Abstract

Guidelines recommend chronic obstructive pulmonary disease (COPD) assessment tests (CATs) for evaluation of symptoms and management risks. To investigate whether CAT can predict moderate or severe exacerbations in Japanese COPD patients, a single-blinded prospective study was performed. A 123 Japanese COPD patients were classified into high-CAT (n=64) and low-CAT (n=59) groups. The frequencies and periods of moderate or severe exacerbation and hospitalization were compared between the two groups. Multivariate logistic regression analysis was performed to investigate whether CAT could predict exacerbations. A receiver operating characteristic (ROC) curve analysis was employed to find an appropriate CAT score for exacerbation. The high-CAT group was significantly older, had a lower body mass index, and had a lower airflow obstruction as compared to the low CAT group. The frequency of moderate or severe exacerbation (1.3±1.3 events per patient per year, p<0.0001) and hospitalizations (0.2±0.4, p=0.0202) in the high-CAT group was significantly higher than in the low-CAT group (0.4±0.7 and 0.0±0.1, respectively). Multivariate logistic regression analysis showed that both high CAT score and low airflow obstruction were independently predictive of frequent moderate or severe COPD exacerbation. ROC analysis showed that the best cut-off CAT score for moderate or severe COPD exacerbation was 8 points. Our present results indicate that COPD Japanese patients showing high CAT scores have a poor prognosis, and that the CAT score is able to predict exacerbation in Japanese COPD.

Keywords
COPD Quality of life Questionnaire Respiratory function tests
MeSH 主题词
Age Factors Aged Asians Body Mass Index Disease Progression Female Humans Logistic Models Male Middle Aged Multivariate Analysis Predictive Value of Tests Prognosis Prospective Studies Pulmonary Disease, Chronic Obstructive/diagnosis,physiopathology Pulmonary Ventilation ROC Curve Respiratory Function Tests Risk Management
作者与单位
共 7 位作者,点击展开单位 / ORCID
Suetomo Masashi
Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan; Respiratory Medicine, Chikugo City Hospital, 917-1 Izumi, Chikugo 833-0041, Japan. Electronic address: [email protected].
Kawayama Tomotaka
Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan. Electronic address: [email protected].
Kinoshita Takashi
Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan. Electronic address: [email protected].
Takenaka Shinichi
Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan. Electronic address: [email protected].
Matsuoka Masanobu
Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan. Electronic address: [email protected].
Matsunaga Kazuko
Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan. Electronic address: [email protected].
Hoshino Tomoaki
Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan. Electronic address: [email protected].
Article Info
Journal
Respiratory investigation
Abbr.
Respir Investig
ISSN
2212-5353
Published
2014-09-00
电子出版
2014-00-16
页码
288-95
Language
English
Country/Region
Netherlands
NLM ID
101581124
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