Risk-adjusted outcome prediction with initial post-cardiac arrest illness severity: implications for cardiac arrest

Joshua C Reynolds1, Jon C Rittenberger2, Catalin Toma3

  • 1Department of Emergency Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, United States.

Resuscitation
|June 15, 2014
PubMed

Insights

Early coronary angiography (CATH) improves outcomes for cardiac arrest survivors, especially when adjusted for illness severity using the Pittsburgh Post Cardiac Arrest Category (PCAC) score. The benefit is less clear in the most critically ill patients.

Area of Science:

  • Cardiology
  • Critical Care Medicine
  • Neurology

Background:

  • Early coronary angiography (CATH) is recommended for cardiac arrest survivors with STEMI or suspected ischemia.
  • Comatose patients face neurologic injury risk regardless of CATH, but mortality data lack cause-specific detail.
  • Pittsburgh Post Cardiac Arrest Category (PCAC) is a validated score for early illness severity assessment.

Purpose of the Study:

  • To evaluate the association between early CATH and patient outcomes.
  • To adjust for initial post-cardiac arrest illness severity using the PCAC score.

Main Methods:

  • Retrospective analysis of a prospective cardiac arrest database (2005-2012).
  • Inclusion of 1011 adult survivors of non-traumatic cardiac arrest.
  • Stratification by PCAC score and immediate CATH, with logistic regression analysis.

Main Results:

  • 27% of patients received immediate CATH.
  • Immediate CATH was associated with better outcomes across most severity strata.
  • Adjusting for PCAC, immediate CATH improved discharge disposition (OR 1.92) and modified Rankin scale (OR 1.95).

Conclusions:

  • CATH benefit is less evident in the most severe illness stratum, where neurologic causes dominate mortality.
  • PCAC serves as a valuable pre-procedural risk-stratification tool for guiding CATH decisions.
  • Risk-adjusted outcome prediction is enhanced by integrating PCAC with CATH evaluation.
Abstract

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