Abstract

OBJECTIVES: To develop a method for risk-standardizing hospital survival after cardiac arrest. BACKGROUND: A foundation with which hospitals can improve quality is to be able to benchmark their risk-adjusted performance against other hospitals, something that cannot currently be done for survival after in-hospital cardiac arrest. METHODS: Within the Get With The Guidelines-Resuscitation registry, we identified 48,841 patients admitted between 2007 and 2010 with an in-hospital cardiac arrest. Using hierarchical logistic regression, we derived and validated a model for survival to hospital discharge and calculated risk-standardized survival rates (RSSRs) for 272 hospitals with at least 10 cardiac arrest cases. RESULTS: The survival rate was 21.0% and 21.2% for the derivation and validation cohorts, respectively. The model had good discrimination (C-statistic 0.74) and excellent calibration. Eighteen variables were associated with survival to discharge, and a parsimonious model contained 9 variables with minimal change in model discrimination. Prior to risk-adjustment, the median hospital survival rate was 20% (IQR: 14%-26%), with a wide range (0%-85%). After adjustment, the distribution of RSSRs was substantially narrower: median of 21% (IQR: 19%-23%; range: 11%-35%). More than half (143 [52.6%]) of hospitals had at least a 10% positive or negative absolute change in percentile rank after risk standardization, and 50 (23.2%) had a =20% absolute change in percentile rank. CONCLUSION: We have derived and validated a model to risk-standardize hospital rates of survival for in-hospital cardiac arrest. Use of this model can support efforts to compare hospitals in resuscitation outcomes as a foundation for quality assessment and improvement.

View details for DOI 10.1016/j.jacc.2013.05.051

View details for Web of Science ID 000323605200007

View details for PubMedID 23770167