
A Vital Sign-Based Model to Predict Clinical Deterioration in Hospitalized Children*
Author(s) -
Anoop Mayampurath,
Priti Jani,
Yangyang Dai,
Robert D. Gibbons,
Dana P. Edelson,
Matthew M Churpek
Publication year - 2020
Publication title -
pediatric critical care medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.299
H-Index - 87
eISSN - 1947-3893
pISSN - 1529-7535
DOI - 10.1097/pcc.0000000000002414
Subject(s) - medicine , vital signs , early warning score , emergency medicine , logistic regression , prospective cohort study , warning system , cohort , medical record , intensive care medicine , observational study , cohort study , pediatrics , early warning system , medical emergency , surgery , engineering , aerospace engineering
Clinical deterioration in hospitalized children is associated with increased risk of mortality and morbidity. A prediction model capable of accurate and early identification of pediatric patients at risk of deterioration can facilitate timely assessment and intervention, potentially improving survival and long-term outcomes. The objective of this study was to develop a model utilizing vital signs from electronic health record data for predicting clinical deterioration in pediatric ward patients.