Height seems to be the only variable that determines lung oscillometry indices

This is the authors' abstract. We don't add key points for this paper.

We read the article by Gochicoa-Rangel et al. [1] with great interest, wherein the authors reported the reference equations for the impulse oscillometry system (IOS) indices. Their study, encompassing a large healthy population of 830 male and female subjects between the ages of 2.7 to 90 years, fills a crucial gap in the current literature on oscillometry. While numerous reference equations exist globally, none has covered such a broad age range. Interestingly, the authors also provide cut-off values for IOS indices, which is in line with the proposition that in comparison to predicted values or z-scores, fixed cut-off values will be more accurate to discriminate between normal and abnormal oscillometric outcomes in adults, with a reasonably good sensitivity, specificity and overall accuracy [2]. Aligning with current expectations, the authors incorporated sex, height, age and body mass index as key physiological variables into their reference equation. This approach reflects the recognised dependence of spirometry indices on these variables. It seems almost imperative to use these variables when interpreting lung function. Oscillometry presents four distinct advantages over spirometry <https://bit.ly/49LNPyh>