Literature DB >> 24018585

Development and validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score to predict neurologically intact survival after in-hospital cardiopulmonary resuscitation.

Mark H Ebell1, Woncheol Jang, Ye Shen, Romergryko G Geocadin.   

Abstract

IMPORTANCE: Informing patients and providers of the likelihood of survival after in-hospital cardiac arrest (IHCA), neurologically intact or with minimal deficits, may be useful when discussing do-not-attempt-resuscitation orders.
OBJECTIVE: To develop a simple prearrest point score that can identify patients unlikely to survive IHCA, neurologically intact or with minimal deficits. DESIGN, SETTING, AND PARTICIPANTS: The study included 51,240 inpatients experiencing an index episode of IHCA between January 1, 2007, and December 31, 2009, in 366 hospitals participating in the Get With the Guidelines-Resuscitation registry. Dividing data into training (44.4%), test (22.2%), and validation (33.4%) data sets, we used multivariate methods to select the best independent predictors of good neurologic outcome, created a series of candidate decision models, and used the test data set to select the model that best classified patients as having a very low (<1%), low (1%-3%), average (>3%-15%), or higher than average (>15%) likelihood of survival after in-hospital cardiopulmonary resuscitation for IHCA with good neurologic status. The final model was evaluated using the validation data set. MAIN OUTCOMES AND MEASURES: Survival to discharge after in-hospital cardiopulmonary resuscitation for IHCA with good neurologic status (neurologically intact or with minimal deficits) based on a Cerebral Performance Category score of 1.
RESULTS: The best performing model was a simple point score based on 13 prearrest variables. The C statistic was 0.78 when applied to the validation set. It identified the likelihood of a good outcome as very low in 9.4% of patients (good outcome in 0.9%), low in 18.9% (good outcome in 1.7%), average in 54.0% (good outcome in 9.4%), and above average in 17.7% (good outcome in 27.5%). Overall, the score can identify more than one-quarter of patients as having a low or very low likelihood of survival to discharge, neurologically intact or with minimal deficits after IHCA (good outcome in 1.4%). CONCLUSIONS AND RELEVANCE: The Good Outcome Following Attempted Resuscitation (GO-FAR) scoring system identifies patients who are unlikely to benefit from a resuscitation attempt should they experience IHCA. This information can be used as part of a shared decision regarding do-not-attempt-resuscitation orders.

Entities:  

Mesh:

Year:  2013        PMID: 24018585     DOI: 10.1001/jamainternmed.2013.10037

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  36 in total

1.  Predicting in-hospital mortality for initial survivors of acute respiratory compromise (ARC) events: Development and validation of the ARC Score.

Authors:  Ari Moskowitz; Lars W Andersen; Mathias Karlsson; Anne V Grossestreuer; Maureen Chase; Michael N Cocchi; Katherine Berg; Michael W Donnino
Journal:  Resuscitation       Date:  2017-03-04       Impact factor: 5.262

2.  Pre-existing medical comorbidity is not associated with neurological outcomes in patients undergoing targeted temperature management following cardiac arrest.

Authors:  Arash Nayeri; Nirmanmoh Bhatia; Benjamin Holmes; Nyal Borges; Michael N Young; Quinn S Wells; John A McPherson
Journal:  Heart Vessels       Date:  2017-06-06       Impact factor: 2.037

3.  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

Review 4.  Aligning use of intensive care with patient values in the USA: past, present, and future.

Authors:  Alison E Turnbull; Gabriel T Bosslet; Erin K Kross
Journal:  Lancet Respir Med       Date:  2019-05-20       Impact factor: 30.700

5.  Alignment of Do-Not-Resuscitate Status With Patients' Likelihood of Favorable Neurological Survival After In-Hospital Cardiac Arrest.

Authors:  Timothy J Fendler; John A Spertus; Kevin F Kennedy; Lena M Chen; Sarah M Perman; Paul S Chan
Journal:  JAMA       Date:  2015 Sep 22-29       Impact factor: 56.272

6.  Derivation and Internal Validation of a Mortality Prediction Tool for Initial Survivors of Pediatric In-Hospital Cardiac Arrest.

Authors:  Mathias J Holmberg; Ari Moskowitz; Tia T Raymond; Robert A Berg; Vinay M Nadkarni; Alexis A Topjian; Anne V Grossestreuer; Michael W Donnino; Lars W Andersen
Journal:  Pediatr Crit Care Med       Date:  2018-03       Impact factor: 3.624

7.  Impact of timing of cardiac arrest during hospitalization on survival outcomes and subsequent length of stay.

Authors:  Abdul H Qazi; Kevin Kennedy; Steven M Bradley; Paul S Chan
Journal:  Resuscitation       Date:  2017-10-13       Impact factor: 5.262

Review 8.  Survival after in-hospital cardiac arrest among cerebrovascular disease patients.

Authors:  Corey R Fehnel; Alissa Trepman; Dale Steele; Muhib A Khan; Brian Silver; Susan L Mitchell
Journal:  J Clin Neurosci       Date:  2018-05-19       Impact factor: 1.961

9.  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

10.  Duration of resuscitation efforts for in-hospital cardiac arrest by predicted outcomes: Insights from Get With The Guidelines - Resuscitation.

Authors:  Steven M Bradley; Wenhui Liu; Paul S Chan; Saket Girotra; Zachary D Goldberger; Javier A Valle; Sarah M Perman; Brahmajee K Nallamothu
Journal:  Resuscitation       Date:  2016-12-27       Impact factor: 5.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.