Age-and height-based prediction bias in spirometry reference equations
PH Quanjer, GL Hall, S Stanojevic… - European …, 2012 - Eur Respiratory Soc
Prediction bias in spirometry reference equations can arise from combining equations for
different age groups, rounding age or height to integers or using self-reported height. To
assess the bias arising from these sources, the fit of 13 prediction equations was tested
against the Global Lungs Initiative (GLI) dataset using spirometric data from 55,136 healthy
Caucasians (54% female). The effects on predicted values of using whole-year age versus
decimal age, and of a 1% bias in height, were quantified. In children, the prediction bias …
different age groups, rounding age or height to integers or using self-reported height. To
assess the bias arising from these sources, the fit of 13 prediction equations was tested
against the Global Lungs Initiative (GLI) dataset using spirometric data from 55,136 healthy
Caucasians (54% female). The effects on predicted values of using whole-year age versus
decimal age, and of a 1% bias in height, were quantified. In children, the prediction bias …
