Optimal spirometry thresholds for the prediction of chronic airflow obstruction : a multinational longitudinal study
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INTRODUCTION: Chronic airflow obstruction is key for COPD diagnosis, but strategies for its early detection are limited. We aimed to define the optimal z-score thresholds for spirometry parameters to discriminate chronic airflow obstruction incidence. METHODS: The Burden of Obstructive Lung Disease study is a multinational cohort study. Information on respiratory symptoms was collected and pre- and post-bronchodilator spirometry was performed at baseline. 18 study sites were followed-up with repeat measurements after a median of 8.4 years. We converted lung function measurements into z-scores using the Third National Health and Nutrition Survey reference equations. We used the Youden index to calculate the optimal z-score thresholds for discriminating chronic airflow obstruction incidence. We further examined differences by smoking status. RESULTS: We analysed data from 3057 adults (57% female, mean age: 51 years at baseline). Spirometry parameters were good at discriminating chronic airflow obstruction incidence (area under the curve 0.80-0.84), while respiratory symptoms performed poorly. The optimal z-score threshold was identified for pre-bronchodilator forced expiratory volume in 1 s to forced vital capacity ratio (FEV1/FVC) <-1.336, equivalent to the 9th percentile (sensitivity: 78%, specificity: 72%). All z-score thresholds associated with a lower post-bronchodilator FEV1/FVC and greater odds of chronic airflow obstruction at follow-up. The risk of chronic airflow obstruction was slightly greater for current smokers and, to some extent, never-smokers with a pre-bronchodilator FEV1/FVC <9th/10th percentiles at baseline, particularly among males. CONCLUSIONS: Spirometry is better than respiratory symptoms at predicting chronic airflow obstruction incidence. A pre-bronchodilator FEV1/FVC <9th/10th percentiles, particularly among current smokers, could suggest early airflow obstruction or pre-COPD.
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Publisher Copyright: © The authors 2025.
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Lam, A H S, Alhajri, S A, Potts, J, Harrabi, I, Anand, M P, Janson, C, Nielsen, R, Agarwal, D, Malinovschi, A, Juvekar, S, Denguezli, M, Gíslason, Þ, Jõgi, R, Garcia-Larsen, V, Ahmed, R, Nafees, A A, Koul, P A, Aquat-Stewart, A, Burney, P, Knox-Brown, B & Amaral, A F S 2025, 'Optimal spirometry thresholds for the prediction of chronic airflow obstruction : a multinational longitudinal study', ERJ Open Research, vol. 11, no. 2, 00624-2024. https://doi.org/10.1183/23120541.00624-2024