External validation of an IOS-derived model for airflow obstruction and COPD in a community-based cohort
Abstract
A model based on impulse oscillometry (IOS) predicting airflow limitation and chronic obstructive pulmonary disease (COPD) has been developed in hospital-based populations. However, its diagnostic performance in community-recruited cohorts and its potential complementary value when combined with commonly used questionnaire-based tools remain to be evaluated. To externally validate the IOS-derived model for airflow obstruction (AO) and COPD in a community-based cohort, and to assess whether combining it with the COPD Screening Questionnaire (COPD-SQ) improves diagnostic accuracy compared to either tool alone. This was a cross-sectional analysis of baseline data from the ongoing Early Chronic Obstructive Pulmonary Disease (ECOPD) prospective cohort study. Participants completed pre-bronchodilator IOS tests, pre- and post-bronchodilator spirometry tests. The previously developed IOS-derived model (incorporating age, sex, height, weight, and IOS parameters) was applied to this Chinese population cohort. The COPD-SQ (7 items) was also administered. We defined a pre-bronchodilator FEV1/FVC < 0.70 as airflow obstruction (AO) and a post-bronchodilator FEV1/FVC < 0.70 as COPD. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the IOS-derived model, COPD-SQ, and their combination for AO and COPD. Differences in area under the curve (AUC) were compared using DeLong's test. A total of 1858 participants with complete IOS parameters were…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 1,858 participants or records.
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