TY - JOUR T1 - Prediction of peak expiratory flow of the next day through a smartphone application designed for individuals with asthma JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.congress-2020.155 VL - 56 IS - suppl 64 SP - 155 AU - Panagiotis Sakkatos AU - Thomas Antalffy AU - Natalia Pavlovskaia Y1 - 2020/09/07 UR - http://erj.ersjournals.com/content/56/suppl_64/155.abstract N2 - Introduction: Part of asthma management involves the identification of early lung health deterioration. This is based on peak expiratory flow (PEF) as self-recorded by the patients at home. A digital Smart Peak flow (SPF) meter has recently been developed to measure PEF via any smartphone at patients' enviromentAim: To examine the additional ability of SPF to predict PEF zones of the next day with the aim of providing an early indication of asthma degradation.Methods: Daily PEF measurements (n=5000) were retrospectively obtained from 396 asthma users (226 females) of SPF meter with mean age (sd) 39.38 years (19.28). An algorithm based on artificial neural networks was used to make predictions of green (>80% of personal best PEF), yellow (60-80% of personal best PEF) and red (<60% of personal best PEF) PEF zones of the next day.Results: Daily PEF measurements from 21 consecutive days could significantly predict different PEF zones of the next day (F1 score: 0.715, 95%CI 0.699-0.762, p<0.01). The Receiver Operating Curve showed that the predictive algorithm of SPF can significantly differentiate asthma users within different PEF zones with AUC being estimated for red, yellow and green zones as 0.901 (95%CI 0.882-0.947),0.789 (95%CI 0.764-0.867) 0.867 (95%CI 0.849-0.921, p<0.01) respectively.Conclusion: Daily PEF measurements for 21 consecutive days can be used to predict the PEF zone of the next day. In the future, this can be used as an objective outcome to early notify patients about their asthma degradation.FootnotesCite this article as: European Respiratory Journal 2020; 56: Suppl. 64, 155.This abstract was presented at the 2020 ERS International Congress, in session “Respiratory viruses in the "pre COVID-19" era”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only). ER -