International journal of chronic obstructive pulmonary disease · 2026
A Predicted FEV1/FVC Model Based on a Simple Respiratory Questionnaire for Early Diagnosis of COPD in Shimane Cohort, Japan.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Nakao Mika, Okimoto Tamio, Tanino Akari, Amano Yoshihiro, Hotta Takamasa, Hamaguchi Megumi, Hamaguchi Shunichi, Tsubata Yukari, Kawamura Toshihiko, Isobe Takeshi
Аннотация
PURPOSE: Early detection of chronic obstructive pulmonary disease (COPD) remains challenging in primary care settings where spirometry is not always available. We aimed to develop a simple questionnaire-based approach to estimate the forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) ratio for COPD screening.
PATIENTS AND METHODS: This was a single-center retrospective observational study based on the Shimane cohort. From 2008 to 2014, respiratory questionnaires and spirometry were performed during health check-ups of individuals aged ≥40 years. Among 2230 participants who underwent spirometry, 727 current or former smokers without a history of bronchial asthma were included for model development. Multiple regression analysis was used to identify questionnaire items associated with FEV1/FVC and to construct a simplified estimation model.
RESULTS: Four variables-age, smoking intensity, exertional dyspnea, and paroxysmal dyspnea-were independently associated with FEV1/FVC and were incorporated into the model. The model demonstrated modest explanatory power (R2 = 0.136), with no significant lack-of-fit (F = 1.152). Based on these variables, a simple four-item model enabled estimation of FEV1/FVC and identification of individuals at risk for airflow limitation.
CONCLUSION: We developed a simple questionnaire-based model to estimate FEV1/FVC using four easily obtainable variables. Although the model is exploratory and requires external validation, it may serve as a practical screening tool to identify individuals at risk for COPD in settings where spirometry is not readily available.
PATIENTS AND METHODS: This was a single-center retrospective observational study based on the Shimane cohort. From 2008 to 2014, respiratory questionnaires and spirometry were performed during health check-ups of individuals aged ≥40 years. Among 2230 participants who underwent spirometry, 727 current or former smokers without a history of bronchial asthma were included for model development. Multiple regression analysis was used to identify questionnaire items associated with FEV1/FVC and to construct a simplified estimation model.
RESULTS: Four variables-age, smoking intensity, exertional dyspnea, and paroxysmal dyspnea-were independently associated with FEV1/FVC and were incorporated into the model. The model demonstrated modest explanatory power (R2 = 0.136), with no significant lack-of-fit (F = 1.152). Based on these variables, a simple four-item model enabled estimation of FEV1/FVC and identification of individuals at risk for airflow limitation.
CONCLUSION: We developed a simple questionnaire-based model to estimate FEV1/FVC using four easily obtainable variables. Although the model is exploratory and requires external validation, it may serve as a practical screening tool to identify individuals at risk for COPD in settings where spirometry is not readily available.