Predicting asthma-related crisis events using routine electronic healthcare data

Background: There is no published algorithm predicting asthma crisis events (Accident and Emergency (AE they had an event risk of 6.0% compared 1.1% for the remaining population. Eighteen people would be “needed to follow” to identify one admission. Conclusions: This externally validated algorithm has acceptable predictive ability for identifying patients at high risk of asthma-related crisis events and excluding individuals not at high risk.