Hospital variation in survival after pediatric in-hospital cardiac arrest

Insights

Validated methods to risk-standardize pediatric survival rates after in-hospital cardiac arrest are needed. A predictive model was developed, showing persistent variation in survival rates across hospitals after risk-adjustment.

Area of Science:

  • Pediatric critical care medicine
  • Cardiovascular research
  • Health services research

Background:

  • Survival rates for pediatric in-hospital cardiac arrest (IHCA) vary significantly between hospitals.
  • Validated methods for risk-standardizing pediatric IHCA survival rates are currently lacking.

Purpose of the Study:

  • To develop and validate a model to predict survival to hospital discharge after pediatric IHCA.
  • To calculate risk-standardized survival rates for hospitals with a minimum of 10 pediatric IHCA cases.

Main Methods:

  • Utilized data from the American Heart Association's Get With the Guidelines-Resuscitation registry (2006-2010).
  • Developed a multivariable hierarchical logistic regression model with 13 patient-level predictors.
  • Validated the model using bootstrap methods and calculated risk-standardized survival rates for 30 hospitals with ≥10 pediatric IHCA cases.

Main Results:

  • Identified 1551 pediatric IHCA cases.
  • The predictive model demonstrated good discrimination (C-statistic 0.71, validated C-statistic 0.69).
  • Unadjusted survival rates varied widely (0-61%); risk-standardized rates narrowed but still showed significant variation (29-48%).

Conclusions:

  • A validated model for predicting pediatric IHCA survival was developed using a national registry.
  • Significant variation in hospital survival rates persisted even after risk-standardization.
  • Future research should leverage these models to identify best practices at high-performing hospitals to improve pediatric cardiac arrest outcomes.
Abstract

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