Unknown

Dataset Information

An early, novel illness severity score to predict outcome after cardiac arrest.


ABSTRACT:

Background

Illness severity scores are commonly employed in critically ill patients to predict outcome. To date, prior scores for post-cardiac arrest patients rely on some event-related data. We developed an early, novel post-arrest illness severity score to predict survival, good outcome and development of multiple organ failure (MOF) after cardiac arrest.

Methods

Retrospective review of data from adults treated after in-hospital or out-of-hospital cardiac arrest in a single tertiary care facility between 1/1/2005 and 12/31/2009. In addition to clinical data, initial illness severity was measured using serial organ function assessment (SOFA) scores and full outline of unresponsiveness (FOUR) scores at hospital or intensive care unit arrival. Outcomes were hospital mortality

SUBMITTER: Rittenberger JC 

PROVIDER: S-EPMC3196030 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature