Using risk prediction tools in survivors of in-hospital cardiac arrest

Saket Girotra, Brahmajee K. Nallamothu, Paul S. Chan

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In-hospital cardiac arrests are common and associated with poor outcomes. Predicting the likelihood of favorable neurological survival following resuscitation from an in-hospital cardiac arrest could provide important information for physicians and families. In this article, we review the literature regarding predictors of survival following in-hospital cardiac arrest. Specifically, we describe the Cardiac Arrest Survival Postresuscitation In-hospital (CASPRI) score that was recently developed and validated using data from the Get With the Guidelines-Resuscitation registry. The CASPRI score includes 11 predictor variables: age, initial cardiac arrest rhythm, defibrillation time, baseline neurological status, duration of resuscitation, mechanical ventilation, renal insufficiency, hepatic insufficiency, sepsis, malignancy, and hypotension. The score is simple to use at the bedside, has excellent discrimination and calibration, and provides robust estimates of the probability of favorable neurological survival after an in-hospital cardiac arrest. Thus, CASPRI may be valuable in establishing expectations by physicians and families in the critical period after these high-risk events.

Original languageEnglish (US)
Article number457
JournalCurrent Cardiology Reports
Volume16
Issue number3
DOIs
StatePublished - Mar 2014
Externally publishedYes

Keywords

  • In-hospital cardiac arrest
  • Resuscitation
  • Risk prediction tools
  • Survival

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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