Literature DB >> 31821836

Predicting the probability of survival with mild or moderate neurological dysfunction after in-hospital cardiopulmonary arrest: The GO-FAR 2 score.

Naomi George1, Thuy Nhu Thai2, Paul S Chan3, Mark H Ebell4.   

Abstract

BACKGROUND: The Good Outcome Following Attempted Resuscitation (GO-FAR) Score uses pre-arrest factors to predict survival after In-Hospital Cardiac Arrest (IHCA) with minimal neurological dysfunction, (cerebral performance category (CPC) ≤1). Moderate neurological dysfunction (CPC ≤2) may be a more acceptable outcome.
OBJECTIVE: To predict survival after IHCA with mild or moderate neurological dysfunction based on pre-arrest factors.
METHODS: 52,468 patients with IHCA from 2012-2017. Data was divided into training (44%), testing (22%), and validation (34%) sets. Univariate analysis was used to identify variables with >3% difference in survival with CPC ≤2. These variables carried forward to the multivariate logistic regression model. The most parsimonious model that best classified patients as having a very poor (≤5%), below average (≤10%), average (11%-30%), or above average (>30%) likelihood of survival with CPC ≤2 was chosen.
RESULTS: Age >85, admission CPC <2, and non-surgical admission were strongly association with poor survival (-12.1%, -14.4%, and -18%, respectively). Nine variables were included in the logistic regression analysis. The final updated model, GO FAR 2, categorized 6.2% of patients with a very poor predicted survival, 24.8% of patients with a below average predicted survival, and 11.3% with above average predicted survival. The observed survival among those with very poor predicted survival was 4.5%.
CONCLUSION: The GO FAR 2 score provides clinicians with a prognostic estimate of the likelihood of a good outcome after IHCA based on pre-arrest patient factors. Future research is required to validate the GO-FAR 2 score.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiopulmonary resuscitation; In-hospital cardiac arrest; Neurological outcome; Prognosis

Mesh:

Year:  2019        PMID: 31821836     DOI: 10.1016/j.resuscitation.2019.12.001

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


  2 in total

1.  Predictive value of pre-arrest albumin level with GO-FAR score in patients with in-hospital cardiac arrest.

Authors:  Seok-In Hong; Youn-Jung Kim; Yeon Joo Cho; Jin Won Huh; Sang-Bum Hong; Won Young Kim
Journal:  Sci Rep       Date:  2021-05-20       Impact factor: 4.379

2.  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

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.