A Pediatric Asthma Risk Score to better predict asthma development in young children
For clinicians and researchers, the ability to accurately predict which children will have asthma is a challenge. Asthma prediction matrices use a combination of major and minor criteria to give a binary yes/no response as to whether a child will have asthma. However, personalized prediction tools are needed that take into consideration the individual combination of risk factors to better estimate the spectrum of asthma risk. Therefore we developed and validated the PARS, a continuous risk score for asthma, which has increased sensitivity over the API and mAPI and captures children with mild-to-moderate risk.
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