Objectives
Sudden death is common in patients with hypoplastic left heart syndrome and comparable lesions with parallel systemic and pulmonary circulation from a common ventricular chamber. It is hypothesized that unforeseen acute deterioration is preceded by subtle changes in physiologic dynamics prior to overt clinical extremis. Our objective is to develop a computer algorithm to automatically recognize precursors to deterioration in real-time, providing an early warning to care staff.
Methods
Continuous high-resolution physiologic recordings were obtained from 25 children with parallel systemic and pulmonary circulation who were admitted to the CVICU of Texas Children’s Hospital between their early neonatal palliation and stage 2 surgical palliation. Instances of cardiorespiratory deterioration (defined as the need for CPR or endotracheal intubation) were found via a chart review. A classification algorithm was applied to both primary and derived parameters that were significantly associated with deterioration. The algorithm was optimized to discriminate pre-deterioration physiology from stable physiology.
Results
Twenty cardiorespiratory deterioration events were identified in 13 of the 25 infants. The resulting algorithm was both sensitive and specific for detecting impending events, one to two hours in advance of overt extremis (ROC Area = 0.91, 95% CI = 0.88–0.94).
Conclusion
Automated, intelligent analysis of standard physiologic data in real time can detect signs of clinical deterioration too subtle for the clinician to observe without the aid of a computer. This metric may serve as an early warning indicator of critical deterioration in patients with parallel systemic and pulmonary circulation.
ECPR was associated with modest survival in pediatric patients with heart disease; however, this was associated in part with the underlying disease and pre-existing comorbidities, including the presence of acute kidney injury.
Family-initiated rapid response events were activated for legitimate concerns and frequently needed clinical interventions. Enhanced information and awareness of FIRR can improve utilization of the system and enhance family satisfaction, patient safety, and outcomes. Disseminating the information on FIRR and the importance of family involvement will improve the care of children and empower family members.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.