Abstract 12134: Risk of In-Hospital Deterioration for Children With Single Ventricle Physiology

Abstract

Introduction: Children with single ventricle physiology (SV) are at high risk of in-hospital morbidity and mortality, with much of that increased risk coming in the first year of life. Understanding which children are at the highest risk for clinical deterioration may allow for increased monitoring and earlier escalation of care, with associated decreased mortality. Methods: We conducted a retrospective chart review of all admissions to the pediatric cardiology non-ICU inpatient service from 2014 - 2018 for children < 18 years old. Clinical deterioration was defined as an unplanned transfer to the ICU or inpatient mortality. Children with SV were selected by diagnosis codes. Results: From the entire cohort of 1612 pediatric cardiology admissions (56 % male, 25% SV), 288 admissions had a deterioration event including 26 deaths. Infants less than one year with SV (n = 197 admissions) were significantly more likely to have a deterioration event (107 events over 62 admissions with an event) than the overall pediatric cardiology cohort (OR 2.11, 95% CI 1.52-2.93). Among infants with SV, those with a deterioration event were significantly younger (median 1.7 v 4.3 months, p < 0.001). Further, at baseline they had significantly lower oxygen saturation (84% v 87%, p < 0.01), lower systolic blood pressure (85mmHg v 90mmHg, p< 0.02), higher respiration rate (48 v 44, p < 0.01), and higher hematocrit (44.0 v 40.2, p < 0.005) compared to those who remained stable. Mean Pediatric Early Warning Scores (PEWS) were significantly higher for infants with SV who had a deterioration event (1.4 v 0.9, p < 0.001) and PEWS scores significantly increased in the 48 hours prior to an event (p < 0.001). Of the 104 non-death events, 61 required an increase in oxygen support and 51 required a fluid bolus prior to the event (p < 0.001). Conclusions: Infants with SV are at high risk for clinical deterioration. There are baseline differences in vital signs and lab work between those that remain stable and those that have a deterioration event. PEWS scores and oxygen and fluid treatment significantly increase prior to deterioration events. Leveraging data from the Electronic Medical Record to identify the highest risk patients may allow for earlier detection and intervention to prevent clinical deterioration.