Enhancing the prediction of childhood asthma remission: Integrating clinical factors with microRNAs

Abstract

Approximately 15% to 65% cases of childhood asthma undergo remission of disease by early adulthood.1,2 Predicting the remission of childhood asthma is important for providing clinical risk stratification and anticipatory guidance to patients and their families. Previously, in the Childhood Asthma Management Program (CAMP), we used clinical variables to predict the remission of childhood asthma by early adulthood with high accuracy (area under the receiver-operating characteristic curve [AUROC], 0.81) and found baseline FEV1 to forced vital capacity (FVC) ratio (FEV1/FVC) to be the greatest predictor of asthma remission.