A Novel Model-Based Questionnaire Based on Low-Dose CT Screening Data for Chronic Obstructive Pulmonary Disease Diagnosis in Shimane, Japan.
Japanese population
pack-years
prediction model
validation
Journal
International journal of chronic obstructive pulmonary disease
ISSN: 1178-2005
Titre abrégé: Int J Chron Obstruct Pulmon Dis
Pays: New Zealand
ID NLM: 101273481
Informations de publication
Date de publication:
2021
2021
Historique:
received:
01
03
2021
accepted:
01
06
2021
entrez:
25
6
2021
pubmed:
26
6
2021
medline:
12
8
2021
Statut:
epublish
Résumé
Although there have been many reports on the use of respiratory function tests and questionnaires for creating chronic obstructive pulmonary disease (COPD) questionnaires, there have been no reports on the effectiveness of questionnaires using computed tomography (CT) screening data. We aimed to validate the International Primary Care Airways Group (IPAG) questionnaire and to propose a novel COPD screening questionnaire based on the CT screening data of Japanese participants. Low-dose CT screening was performed for early detection of lung cancer and COPD since 2009 in Shimane, Japan, and clinical information was collected using an original questionnaire that included all the IPAG questionnaire items and eight additional items (for eg, on dyspnea) during CT screening. Participants with emphysema, smoking history, and respiratory symptoms were instructed to undergo a respiratory function test. The participants with the forced expiratory volume in one second (FEV The best cutoff point for the Japanese IPAG questionnaire was 23. The logistic regression analysis revealed significant differences in the question items of "age", "pack-year", "cough", "phlegm", and "feeling of dyspnea". COPD-CT questionnaire was developed based on the CT screening data. The COPD predicted value was determined using the regression model obtained in this study. The IPAG questionnaire had low specificity for discriminating COPD in Japanese patients. A novel questionnaire (COPD-CT) and the COPD predicted value based on the CT screening data was developed.
Identifiants
pubmed: 34168443
doi: 10.2147/COPD.S308922
pii: 308922
pmc: PMC8219229
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1823-1833Informations de copyright
© 2021 Tanino et al.
Déclaration de conflit d'intérêts
Dr Akari Tanino reports personal fees from Boehringer Ingelheim, outside the submitted work. Dr Ryosuke Tanino reports grants, personal fees from Boehringer Ingelheim, outside the submitted work. Dr Takeshi Isobe reports personal fees from AstraZeneca and Boehringer Ingelheim, outside the submitted work. The authors report no other conflicts of interest in this work.
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