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Critical Care Research

The following list represents some of the breadth of research efforts in the Division of Critical Care in the Department of Pediatrics at Northwestern University Feinberg School of Medicine. Learn more by visiting our page on the Ann & Robert H. Lurie Children's Hospital of Chicago website.

Search our listing of current clinical trials and review our recent publications for more information.

Clinical Research

  • End-of-life care and decision-making in the ICU
  • Assessment tools for palliative care in the ICU
  • Family communication in the PICU
  • Bereavement needs in the PICU
  • Social determinants of health impact on PICU care
  • Predictors of enrollment of racially and ethnically diverse participants in emergency and critical care research
  • Informed consent in the PICU
  • Circadian rhythm and sleep disturbances in the PICU
  • Energy expenditure in critical illness

Basic Science Research

  • Determinants of endothelial permeability
  • Determinants of transendothelial migration
  • Dissecting the inflammasome
  • Investigating the role of innate immune responses in influenza infection and elucidation of the mechanisms underlying age-related susceptibility
  • MerTK and cardiac macrophage interactions following myocardial ischemia
  • Epigenetic changes of anthracyclines on cardiac stem cells
  • Impact of microbiome on premature delivery

Translational Research

  • Transcriptome profiling of pediatric cardiac stem cells
  • Adrenal responsiveness in children undergoing congenital cardiac surgery
  • Quantification of histone deacetylase-2 activity in pediatric ARDS
  • ABC cassette mutations, seizure disorders and sensitivity to antiepileptic medications
  • Sepsis and predictive analytics
  • Precision medicine and critical care
  • Metabolic cocktails and critical care outcomes
  • Early warning systems, autonomic function and real-time analytics
  • Data-driven phenotypes of critical illness though clinical, physiologic and multi-omics data integration
  • Pharmacometric interpretation of both population and clinical trial data

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