Literature DB >> 29723607

Predicting neurologically intact survival after in-hospital cardiac arrest-external validation of the Good Outcome Following Attempted Resuscitation score.

Eva Piscator1, Katarina Göransson2, Samuel Bruchfeld3, Ulf Hammar4, Sara El Gharbi3, Mark Ebell5, Johan Herlitz6, Therese Djärv7.   

Abstract

BACKGROUND: A do-not-attempt-resuscitation order is issued when it is against the wishes of the patient that cardiopulmonary resuscitation is performed, or when the chance of good quality survival is minimal. Therefore it is essential for physicians to make an objective prearrest prediction of the outcome after an in-hospital cardiac arrest (IHCA). Our aim was external validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score in a population based setting.
METHODS: The study was based on a retrospective cohort of adult IHCAs in Stockholm County 2013-2014 identified through the Swedish Cardiopulmonary Resuscitation Registry. This registry provided patient and event characteristics and neurological outcome at discharge. Neurologically intact survival is defined as Cerebral Performance Category score (CPC) 1 at discharge. Data for the GO-FAR variables was obtained from manual review of electronic patient records. Model performance was evaluated by measure of discrimination with the area under the receiver operating curve (AUROC) and calibration with assessment of the calibration plot.
RESULTS: The cohort included 717 patients with neurologically intact survival at discharge of 22%. In complete case analysis (523 cases) AUROC was 0.82 (95% CI 0.78-0.86) indicating good discrimination. The calibration plot showed that the GO-FAR score systematically underestimates the probability of neurologically intact survival.
CONCLUSION: The GO-FAR score has satisfactory discrimination, but assessment of the calibration shows that neurologically intact survival is systematically underestimated. Therefore, only with caution should it without model update be taken into clinical practice in settings similar to ours.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiopulmonary resuscitation; Clinical decision-making; Heart arrest; In-hospital cardiac arrest; Medical futility; Prognosis

Mesh:

Year:  2018        PMID: 29723607     DOI: 10.1016/j.resuscitation.2018.04.035

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


  5 in total

1.  Predicting Outcomes of In-Hospital Cardiac Arrest: Retrospective US Validation of the Good Outcome Following Attempted Resuscitation Score.

Authors:  Jeffrey B Rubins; Spencer D Kinzie; David M Rubins
Journal:  J Gen Intern Med       Date:  2019-09-11       Impact factor: 5.128

2.  Resuscitation practices in hospitals caring for children: Insights from get with the guidelines-resuscitation.

Authors:  Jesse L Chan; Brahmajee K Nallamothu; Yuanyuan Tang; Joan S Roberts; Mary Kennedy; Brad Trumpower; Paul S Chan
Journal:  Resusc Plus       Date:  2022-03-17

3.  Association Between Hospital Debriefing Practices With Adherence to Resuscitation Process Measures and Outcomes for In-Hospital Cardiac Arrest.

Authors:  Ali O Malik; Brahmajee K Nallamothu; Brad Trumpower; Marci Kennedy; Sarah L Krein; Khaja M Chinnakondepalli; Vittal Hejjaji; Paul S Chan
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-11-17

4.  Association Between Hospital Resuscitation Champion and Survival for In-Hospital Cardiac Arrest.

Authors:  Jesse L Chan; Jessica Lehrich; Brahmajee K Nallamothu; Yuanyuan Tang; Mary Kennedy; Brad Trumpower; Paul S Chan
Journal:  J Am Heart Assoc       Date:  2021-02-15       Impact factor: 5.501

5.  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

  5 in total

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