Predicting asthma-related crisis events using routine electronic healthcare data

Authors of this modelling study of 61,861 people with asthma from England and Scotland developed a prediction algorithm for having an acute crisis. Risk factors included previous hospitalisation, older age, underweight, smoking and blood eosinophilia.

Source:

British Journal of General Practice