CaRdiac Arrest Survival Score (CRASS) - A tool to predict good neurological outcome after out-of-hospital cardiac arrest

AIM

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).

METHODS

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.

RESULTS

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 - < 2 mg (-1·1), 2 - <4 mg (-1·6), 4 - < 6 mg (-2·1), 6 - < 8 mg (-2·5) and > = 8 mg (-2·8); pre emergency status without previous disease (+0·5) or minor disease (+0·2); location at nursing home (-0·6), working place/school (+0·7), doctor's office (+0·7) and public place (+0·3); application of amiodarone (+0·4); hospital admission with ongoing CPR (-1·9) or normotension (+0·4); witnessed arrest (+0·6); time from collapse until start CPR 2 - < 10 min (-0·3) and > = 10 min (-0·5); duration of CPR <5 min (+0·6). The AUC in the development dataset was 0·88 (95% CI 0·87-0·89) and in the validation dataset 0·88 (95% CI 0·86-0·90).

CONCLUSION

The CaRdiac Arrest Survival Score (CRASS) represents a tool for calculating the probability of survival with good neurological function for patients brought to hospital following OHCA.