Development of the Pediatric Extracorporeal Membrane Oxygenation Prediction Model for Risk-Adjusting Mortality

David K. Bailly, Ron W. Reeder, Melissa Winder, Ryan P. Barbaro, Murray M. Pollack, Frank W. Moler, Kathleen L. Meert, Robert A. Berg, Joseph Carcillo, Athena F. Zuppa, Christopher Newth, John Berger, Michael J. Bell, Michael J. Dean, Carol Nicholson, Pamela Garcia-Filion, David Wessel, Sabrina Heidemann, Allan Doctor, Rick HarrisonSusan L. Bratton, Heidi Dalton

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


Objectives: To develop a prognostic model for predicting mortality at time of extracorporeal membrane oxygenation initiation for children which is important for determining center-specific risk-adjusted outcomes. Design: Multivariable logistic regression using a large national cohort of pediatric extracorporeal membrane oxygenation patients. Setting: The ICUs of the eight tertiary care children's hospitals of the Collaborative Pediatric Critical Care Research Network. Patients: Five-hundred fourteen children (< 19 yr old), enrolled with an initial extracorporeal membrane oxygenation run for any indication between January 2012 and September 2014. Interventions: None. Measurements and Main Results: A total of 514 first extracorporeal membrane oxygenation runs were analyzed with an overall mortality of 45% (n = 232). Weighted logistic regression was used for model selection and internal validation was performed using cross validation. The variables included in the Pediatric Extracorporeal Membrane Oxygenation Prediction model were age (pre-term neonate, full-term neonate, infant, child, and adolescent), indication for extracorporeal membrane oxygenation (extracorporeal cardiopulmonary resuscitation, cardiac, or respiratory), meconium aspiration, congenital diaphragmatic hernia, documented blood stream infection, arterial blood pH, partial thromboplastin time, and international normalized ratio. The highest risk of mortality was associated with the presence of a documented blood stream infection (odds ratio, 5.26; CI, 1.90-14.57) followed by extracorporeal cardiopulmonary resuscitation (odds ratio, 4.36; CI, 2.23-8.51). The C-statistic was 0.75 (95% CI, 0.70-0.80). Conclusions: The Pediatric Extracorporeal Membrane Oxygenation Prediction model represents a model for predicting in-hospital mortality among children receiving extracorporeal membrane oxygenation support for any indication. Consequently, it holds promise as the first comprehensive pediatric extracorporeal membrane oxygenation risk stratification model which is important for benchmarking extracorporeal membrane oxygenation outcomes across many centers.

Original languageEnglish
Pages (from-to)426-434
Number of pages9
JournalPediatric Critical Care Medicine
Issue number5
StatePublished - May 1 2019


  • decision support
  • extracorporeal membrane oxygenation
  • pediatric
  • predictive score model
  • risk adjustment
  • risk assessment


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