Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival
The Journal of Pediatrics Nov 22, 2019
Scott HF, Colborn KL, Colborn CJ, et al. - In this observational cohort study done at six pediatric emergency department and urgent care sites using a training dataset, a temporal test set, and a geographic test set, experts derived and verified a model of risk of septic shock among children with suspected sepsis, using data known in the electronic health record at hospital arrival. Out of 2,464 involved visits, septic shock transpired in 282 (11.4%). This model predicted the risk of septic shock in children at hospital arrival quicker compared with existing models. Also, it leveraged the predictive value of routine electronic health record data via a modern predictive algorithm and has the ability to improve clinical risk stratification in the crucial times prior to the decline.
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