Risk of in-hospital deterioration for children with single ventricle physiology

Author:

Foote Henry P1,Lee Grace S2,Gonzalez Carla Dominguez3,Shaikh Zohaib4,Ratliff William5,Gao Michael5,Hintze Bradley5,Sendak Mark5,Jackson Kimberly W6,Kumar Karan R6,Li Jennifer S1,McCrary Andrew W1

Affiliation:

1. Division of Pediatric Cardiology, Duke University Medical Center

2. Department of Pediatrics, Duke University Medical Center

3. Duke University Health System

4. Weill Cornell Medical Collage

5. Duke Institute for Health Innovation

6. Division of Pediatric Critical Care Medicine, Duke University Medical Center

Abstract

Abstract Children with single ventricle physiology (SV) are at high risk of in-hospital morbidity and mortality. Identifying children at risk for deterioration may allow for earlier escalation of care and subsequently decreased mortality. We conducted a retrospective chart review of all admissions to the pediatric cardiology non-ICU service from 2014–2018 for children < 18 years old. We defined clinical deterioration as unplanned transfer to the ICU or inpatient mortality. We selected children with SV by diagnosis codes and defined infants as children < 1 year old. We compared demographic, vital sign, and lab values between infants with and without a deterioration event. We evaluated vital sign and medical therapy changes before deterioration events. Among infants with SV (129 deterioration events over 225 admissions, overall 25% with hypoplastic left heart syndrome), those who deteriorated were younger (p = 0.001), had lower baseline oxygen saturation (p = 0.022), and higher baseline respiratory rate (p = 0.022), heart rate (p = 0.023), and hematocrit (p = 0.008). Median Duke Pediatric Early Warning Score increased prior to deterioration (p < 0.001). Deterioration was associated with administration of additional oxygen support (p = 0.012), a fluid bolus (p < 0.001), antibiotics (p < 0.001), vasopressor support (p = 0.009), and red blood cell transfusion (p < 0.001). Infants with SV are at high risk for deterioration. Integrating baseline and dynamic patient data from the electronic health record to identify the highest risk patients may allow for earlier detection and intervention to prevent clinical deterioration.

Publisher

Research Square Platform LLC

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