Risk of in-hospital Deterioration for Children with Single Ventricle Physiology

Henry P Foote1, Grace S Lee2, Carla Dominguez Gonzalez3

  • 1Division of Pediatric Cardiology, Duke University Medical Center, 2301 Erwin Road, Durham, NC, 27710, USA.

PubMed

Insights

Infants with single ventricle physiology face high risks of deterioration. Early detection using electronic health record data can improve outcomes and reduce mortality in these vulnerable children.

Area of Science:

  • Pediatric Cardiology
  • Critical Care Medicine
  • Health Informatics

Background:

  • Children with single ventricle (SV) physiology are at significant risk for in-hospital complications, including morbidity and mortality.
  • Early identification of children at risk for clinical deterioration is crucial for timely intervention and improved survival rates.

Purpose of the Study:

  • To identify risk factors and predictors of clinical deterioration in infants with single ventricle physiology.
  • To evaluate the utility of electronic health record data for early detection of deterioration in this population.

Main Methods:

  • Retrospective chart review of pediatric cardiology non-ICU admissions from 2014-2018 for children under 18.
  • Definition of clinical deterioration as unplanned ICU transfer or inpatient mortality.
  • Comparison of demographic, vital sign, and laboratory values between infants with and without deterioration events, including analysis of changes preceding deterioration.

Main Results:

  • Infants with SV who deteriorated were younger, with lower baseline oxygen saturation and higher baseline respiratory rate, heart rate, and hematocrit.
  • The Duke Pediatric Early Warning Score significantly increased prior to deterioration events.
  • Deterioration was associated with increased need for oxygen support, fluid boluses, antibiotics, vasopressors, and red blood cell transfusions.

Conclusions:

  • Infants with single ventricle physiology exhibit a high risk of clinical deterioration during hospitalization.
  • Integrating baseline and dynamic patient data from the electronic health record is essential for identifying high-risk patients.
  • Earlier detection and intervention strategies informed by EHR data can potentially prevent clinical deterioration and reduce mortality in infants with SV.