Current Cardiology Reports

, 16:457

Using Risk Prediction Tools in Survivors of In-hospital Cardiac Arrest

  • Saket Girotra
  • Brahmajee K. Nallamothu
  • Paul S. Chan
Ischemic Heart Disease (D Mukherjee, Section Editor)
Part of the following topical collections:
  1. Topical Collection on Ischemic Heart Disease

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.

Keywords

In-hospital cardiac arrest Resuscitation Survival Risk prediction tools 

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Saket Girotra
    • 1
  • Brahmajee K. Nallamothu
    • 2
  • Paul S. Chan
    • 3
    • 4
  1. 1.Department of Internal Medicine, Division of Cardiovascular DiseasesUniversity of Iowa Carver College of MedicineIowa CityUSA
  2. 2.Department of Internal Medicine, Division of Cardiovascular DiseasesUniversity of Michigan Medical SchoolAnn ArborUSA
  3. 3.Department of Medicine, Division of Cardiovascular DiseasesUniversity of Missouri-Kansas CityKansas CityUSA
  4. 4.St. Luke’s Mid America Heart InstituteKansas CityUSA

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