Literature DB >> 22281225

Survival and outcome prediction using the Apache III and the out-of-hospital cardiac arrest (OHCA) score in patients treated in the intensive care unit (ICU) following out-of-hospital, in-hospital or ICU cardiac arrest.

M B Skrifvars1, B Varghese, M J Parr.   

Abstract

BACKGROUND: There are few data comparing outcome and the utility of severity of illness scoring systems following intensive care after out-of-hospital (OHCA), in-hospital (IHCA) and intensive care unit (ICUCA) cardiac arrest. We investigated survival, factors associated with survival and the correlation and accuracy of general and specific scoring systems, including the Apache III score and the OHCA score in OHCA, IHCA and ICUCA patients.
MATERIAL AND METHODS: Prospective analysis of data on all cardiac arrest patients treated in a tertiary hospital between August 1st 2008 and July 30th 2010. Collected data included resuscitation and post-resuscitation care data as defined by the Utstein Guidelines, Apache III on admission and the OHCA score on admission in OHCA and IHCA patients and after the arrest in ICUCA patients. Statistical methods were used to identify factors associated with outcome and the predictive ability and correlation of the aforementioned scores.
RESULTS: Of a total of 3931 patients treated in the ICU, 51 were admitted following OHCA, 50 following IHCA and 22 suffered an ICUCA and had sustained return of spontaneous circulation (ROSC). Survival at 30 days was highest among ICUCAs (67%) followed by IHCAs (38%) and OHCAs (29%). Using multivariate analysis delay ROSC was the only independent predictor of survival. The OHCA score performed with moderate accuracy for predicting 30-day mortality (area under the curve 0.77 [0.69-0.86] and was slightly better than the Apache III score 0.71 (0.61-0.80). Using multiple logistic regression the Apache III and the OHCA score were both independent predictors of hospital survival and correlation between these two scores was weak (correlation coefficient of 0.244).
CONCLUSIONS: Latency to ROSC seems to be the most important determinant of survival in patients following ICU care after a cardiac arrest in this single center trial. The OHCA score and the Apache III score offer moderate predictive accuracy in ICU cardiac arrest patients but correlated weakly with each other. Illness severity adjustment for cardiac arrest patients in ICU should include features of both these scoring systems.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22281225     DOI: 10.1016/j.resuscitation.2011.11.036

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  20 in total

1.  [Relationship between body temperature, neuron-specific enolase, and clinical course in patients after out-of-hospital cardiac arrest].

Authors:  S Meißner; S Nuding; J Schröder; K Werdan; H Ebelt
Journal:  Med Klin Intensivmed Notfmed       Date:  2018-11-05       Impact factor: 0.840

2.  Validation of the Pittsburgh Cardiac Arrest Category illness severity score.

Authors:  Patrick J Coppler; Jonathan Elmer; Luis Calderon; Alexa Sabedra; Ankur A Doshi; Clifton W Callaway; Jon C Rittenberger; Cameron Dezfulian
Journal:  Resuscitation       Date:  2015-01-28       Impact factor: 5.262

3.  Door-to-implantation time of extracorporeal life support systems predicts mortality in patients with out-of-hospital cardiac arrest.

Authors:  Jürgen Leick; Christoph Liebetrau; Sebastian Szardien; Ulrich Fischer-Rasokat; Matthias Willmer; Arnaud van Linden; Johannes Blumenstein; Holger Nef; Andreas Rolf; Matthias Arlt; Thomas Walther; Christian Hamm; Helge Möllmann
Journal:  Clin Res Cardiol       Date:  2013-05-09       Impact factor: 5.460

4.  Temporal trends in cardiac arrest incidence and outcome in Finnish intensive care units from 2003 to 2013.

Authors:  I Efendijev; R Raj; M Reinikainen; S Hoppu; M B Skrifvars
Journal:  Intensive Care Med       Date:  2014-11-12       Impact factor: 17.440

5.  Predicting survival in out-of-hospital cardiac arrest patients undergoing targeted temperature management: The Polish Hypothermia Registry Risk Score.

Authors:  Łukasz Kołtowski; Beata Średniawa; Agnieszka Tycińska; Magdalena Czajkowska; Magdalena Niedziela; Wiesław Puchalski; Ewa Szczerba; Robert Kowalik; Robert Ryczek; Barbara Zawiślak; Elżbieta Kremis; Konrad Koza; Agnieszka Nazaruk; Joanna Wolska; Michał Ordak; Grzegorz Opolski; Janina Stępińska
Journal:  Cardiol J       Date:  2019-04-17       Impact factor: 2.737

6.  APACHE II scoring to predict outcome in post-cardiac arrest.

Authors:  Michael W Donnino; Justin D Salciccioli; Andre Dejam; Tyler Giberson; Brandon Giberson; Cristal Cristia; Shiva Gautam; Michael N Cocchi
Journal:  Resuscitation       Date:  2012-11-20       Impact factor: 5.262

7.  Characteristics and Risk Factors for Intensive Care Unit Cardiac Arrest in Critically Ill Patients with COVID-19-A Retrospective Study.

Authors:  Kevin Roedl; Gerold Söffker; Dominic Wichmann; Olaf Boenisch; Geraldine de Heer; Christoph Burdelski; Daniel Frings; Barbara Sensen; Axel Nierhaus; Dirk Westermann; Stefan Kluge; Dominik Jarczak
Journal:  J Clin Med       Date:  2021-05-19       Impact factor: 4.241

8.  Prevalence and factors correlating with hyperoxia exposure following cardiac arrest--an observational single centre study.

Authors:  Annika Nelskylä; Michael J Parr; Markus B Skrifvars
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2013-05-02       Impact factor: 2.953

Review 9.  Incidence, predisposing factors, management and survival following cardiac arrest due to subarachnoid haemorrhage: a review of the literature.

Authors:  Markus B Skrifvars; Michael J Parr
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-11-14       Impact factor: 2.953

10.  Design of the PRINCESS trial: pre-hospital resuscitation intra-nasal cooling effectiveness survival study (PRINCESS).

Authors:  Per Nordberg; Fabio Silvio Taccone; Maaret Castren; Anatolij Truhlár; Didier Desruelles; Sune Forsberg; Jacob Hollenberg; Jean-Louis Vincent; Leif Svensoon
Journal:  BMC Emerg Med       Date:  2013-11-25
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