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Survival following cardiopulmonary resuscitation (CPR) from out-of-hospital cardiac arrest (OHCA) depends on numerous prehospital and in-hospital variables and interventions. The aim of this study was to develop a score to predict the resuscitation outcome after OHCA at hospital discharge.
All patients suffered OHCA between 01.01.2010 and 31.12.2016 with ROSC or ongoing CPR at hospital admission in Emergency Medical Service (EMS) systems with good quality in documentation in the German Resuscitation Registry (GRR) were included. The study population was divided into development dataset (5,775) and validation dataset (1,457) by random. Binary logistic regression analysis was used to derive the score. Hospital discharge with good neurological function (CPC 1-2 or mRS 0-2) was used as dependent variable, and various combination of potential predictor variables were used to create the model.
Full description
This study is a retrospective analysis of 8,603 prospectively documented OHCA patients between 01.01.2010 and 31.12.2016 within the German Resuscitation Registry (GRR),4 attended by EMS. The GRR represents currently approximately 160 emergency medical systems who record data on out-of-hospital resuscitation attempts throughout Germany, thus encompassing approximately 30 million citizens (total population of Germany counts 85 million).
The German Resuscitation Registry for out-of-hospital cardiac arrest is divided into two different datasets:
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Inclusion criteria
Between 01.01.2010 and 31.12.2016 the 'Preclinical care' dataset contained 8,603 out-of-hospital CA patients with return of spontaneous circulation (ROSC) or ongoing CPR at hospital admission in EMS systems with good documentation quality. Good quality of documentation was defined by documented post-resuscitation care in more than 75%.
Exclusion criteria
1,371 patients were excluded from further analysis because of incomplete data in terms of age, neurological status at hospital discharge, unknown initial EKG or age < 18 years.
8,603 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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