Pediatr Crit Care Me
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Pediatr Crit Care Me · Mar 2024
A Prognostic Model for Critically Ill Children in Locations With Emerging Critical Care Capacity.
To develop a clinical prediction model to risk stratify children admitted to PICUs in locations with limited resources, and compare performance of the model to nine existing pediatric severity scores. ⋯ Existing pediatric severity scores have limited potential as risk stratification tools in resource-constrained PICUs. If validated, our prediction model would be a readily implementable mechanism to support triage of critically ill children at admission to PICU and could provide value across a variety of contexts where resource prioritization is important.
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Pediatr Crit Care Me · Mar 2024
Observational StudyDevelopment and Validation of a Model for Endotracheal Intubation and Mechanical Ventilation Prediction in PICU Patients.
To develop and externally validate an intubation prediction model for children admitted to a PICU using objective and routinely available data from the electronic medical records (EMRs). ⋯ We developed and externally validated an interpretable machine learning prediction model that improves on conventional clinical criteria to predict the need for intubation in children hospitalized in a PICU using information readily available in the EMR. Implementation of our model may help clinicians optimize the timing of endotracheal intubation and better allocate respiratory and nursing staff to care for mechanically ventilated children.