Impulse Oscillometry (IOS) provides an effort-independent measure of lung mechanics. IOS is more sensitive than spirometry for detecting subtle baseline abnormalities and responses to therapies or bronchoprovocation. Use in adults is limited by uncertainty about performance in individual patients, differences across commercially available devices, and the absence of reference equations derived from large, well-screened populations. We sought to construct equations to predict variability in IOS using data from STAMPEDE II.

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