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CaRdiac Arrest Survival Score (CRASS) — A tool to predict good neurological outcome after out-of-hospital cardiac arrest
The aim of this study was to develop a score to predict the outcome for patients brought to hospital following out-of-hospital cardiac arrest (OHCA). All patients recorded in the German Resuscitation Registry (GRR) who suffered OHCA 2010–2017, who had ROSC or ongoing CPR at hospital admission were i...
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Published in: | Resuscitation 2020-01, Vol.146, p.66-73 |
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Main Authors: | , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The aim of this study was to develop a score to predict the outcome for patients brought to hospital following out-of-hospital cardiac arrest (OHCA).
All patients recorded in the German Resuscitation Registry (GRR) who suffered OHCA 2010–2017, who had ROSC or ongoing CPR at hospital admission were included. The study population was divided into development (2010–2016: 7985) and validation dataset (2017: 1806). Binary logistic regression analysis was used to derive the score. The probability of hospital discharge with good neurological outcome was defined as 1/(1 + e−X), where X is the weighted sum of independent variables.
The following variables were found to have a significant positive (+) or negative (−) impact: age 61–70 years (−0·5), 71–80 (−0·9), 81–90 (−1·3) and > = 91 (−2·3); initial PEA (−0·9) and asystole (−1·4); presumable trauma (−1·1); mechanical CPR (−0·3); application of adrenalin > 0 − |
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ISSN: | 0300-9572 1873-1570 |
DOI: | 10.1016/j.resuscitation.2019.10.036 |