Literature DB >> 26689743

Can mortality due to circulatory failure in comatose out-of-hospital cardiac arrest patients be predicted on admission? A study in a retrospective derivation cohort validated in a prospective cohort.

Sebastian Voicu1, Frédéric J Baud2, Isabelle Malissin3, Nicolas Deye4, Nicolas Bihry3, Benoit Vivien5, Pierre-Yves Brun3, Georgios Sideris6, Patrick Henry7, Bruno Megarbane8.   

Abstract

PURPOSE: Circulatory failure (CF) influences management of out-of-hospital cardiac arrest (OHCA) patients and the decision of circulatory assistance. We performed a study to identify on hospital admission patients at risk for CF-related death.
MATERIALS AND METHODS: This is a single-center study including OHCA patients without obvious extracardiac cause and sustained return of spontaneous circulation, in a retrospective derivation (RC) and prospective validation cohort (PC). Univariate/multivariate logistic regression was used in the RC to determine a score predicting CF-related death (due to rearrest or persistent shock despite adequate fluid and catecholamine treatment). The score was validated in the PC.
RESULTS: We included 207 patients in the RC and 96 in the PC. Circulatory failure occurred in 59% of RC and 63% of PC patients (P = .70); 35% in both cohorts died of CF. In multivariate regression, correlates of CF-related death making up the logistic score were arterial pH (P < .0001) and shock requiring catecholamines on admission (P = .0045). In the PC, for a logistic score cut-off of 0.5, sensitivity for CF-related death was 50%; specificity, 92%. Patients with shock and arterial pH less than or equal to 7.11 had a CF-related death probability greater than 0.5.
CONCLUSION: A logistic score based on arterial pH and shock requiring catecholamines on admission can predict CF-related death in OHCA patients.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiac arrest; Catecholamine treatment; Circulatory assistance; Circulatory failure; Mode of death; Prognostic factors

Mesh:

Year:  2015        PMID: 26689743     DOI: 10.1016/j.jcrc.2015.11.007

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  3 in total

1.  Validation of the CREST score for predicting circulatory-aetiology death in out-of-hospital cardiac arrest without STEMI.

Authors:  Timothy N Jones; Matthew Kelham; Krishnaraj S Rathod; Charles J Knight; Alastair Proudfoot; Ajay K Jain; Andrew Wragg; Muhiddin Ozkor; Paul Rees; Oliver Guttmann; Andreas Baumbach; Anthony Mathur; Daniel A Jones
Journal:  Am J Cardiovasc Dis       Date:  2021-12-15

2.  Prior Distribution Estimation of Monitored Information in the Intensive Care Unit with the Hidden Markov Model and Decision Tree Methods.

Authors:  Xin Zhao; Xiaokai Nie; Guofei Pang; Siyuan Qiu; Kehan Shi; Changqing Wang; Bingqi Zhao; Yidan Huo
Journal:  J Healthc Eng       Date:  2022-03-24       Impact factor: 2.682

3.  Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances.

Authors:  Richard T Carrick; Jinny G Park; Hannah L McGinnes; Christine Lundquist; Kristen D Brown; W Adam Janes; Benjamin S Wessler; David M Kent
Journal:  J Am Heart Assoc       Date:  2020-08-13       Impact factor: 5.501

  3 in total

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