Correlation of the predictive ability of early warning metrics and mortality for cardiac arrest patients receiving in-hospital Advanced Cardiovascular Life Support

Barbara DeVoe, Anita Roth, Gregory Maurer, Michal Tamuz, Martin Lesser, Renee Pekmezaris, Amgad N. Makaryus, Alan Hartman, Paola DiMarzio

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Background The Modified Early Warning Score (MEWS) helps identify patients experiencing a decline in physiological parameters that indicate risk for cardiac arrest (CA). Objectives To assess the association between MEWS values and patient survival following in-hospital CA. Methods Retrospective cohort study of patients who experienced in-hospital CA. The relationship between CA survival and MEWS values as well as other risk factors such as age, gender and type of electrographic cardiac rhythms was analyzed using logistic regression. Results Survival rate to hospital discharge was 21%. Strong predictors for survival were MEWS values at hospital admission (p < .002), younger age (p < .005), ventricular fibrillation (p < .0001), and ventricular tachycardia (p < .0001). Gender and MEWS 4 hours prior to CA were not significantly associated with survival. Conclusions Survival following CA was significantly associated with MEWS at hospital admission but not 4 hours prior to CA. The type of cardiac rhythm and age were also predictive of survival.

Original languageEnglish
Pages (from-to)497-502
Number of pages6
JournalHeart and Lung: Journal of Acute and Critical Care
Volume45
Issue number6
DOIs
StatePublished - 1 Nov 2016

Keywords

  • Advanced cardiovascular life support
  • Cardiac arrest
  • Cardiac rhythm
  • MEWS
  • Survival

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