Neurological outcome following out of hospital cardiac arrest: Evaluation of performance of existing risk prediction models in a UK cohort

Author:

Livesey John A1ORCID,Lone Nazir1ORCID,Black Emily2ORCID,Broome Richard2,Syme Alastair2,Keating Sean2ORCID,Elliott Laura3,McCahill Cara3,Simpson Gavin3,Grant Helen4,Auld Fiona5,Garrioch Sweyn6,Hay Alasdair1,Craven Thomas H1ORCID

Affiliation:

1. Edinburgh Critical Care Research Group, Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK

2. Department of Critical Care, Royal Infirmary of Edinburgh, Edinburgh, UK

3. Department of Critical Care, Victoria Hospital Kirkcaldy, Kirkcaldy, UK

4. Department of Critical Care, St John’s Hospital, Livingston, UK

5. Department of Critical Care, Western General Hospital, Edinburgh, UK

6. Department of Critical Care, Borders General Hospital, Melrose, UK

Abstract

Introduction: Out of hospital cardiac arrest (OHCA) is a common problem. Rates of survival are low and a proportion of survivors are left with an unfavourable neurological outcome. Four models have been developed to predict risk of unfavourable outcome at the time of critical care admission – the Cardiac Arrest Hospital Prognosis (CAHP), MIRACLE2, Out of Hospital Cardiac Arrest (OHCA), and Targeted Temperature Management (TTM) models. This evaluation evaluates the performance of these four models in a United Kingdom population and provides comparison to performance of the Acute Physiology and Chronic Health Evaluation II (APACHE-II) score. Methods: A retrospective evaluation of the performance of the models was conducted over a 43-month period in 414 adult, non-pregnant patients presenting consecutively following non-traumatic OHCA to the five units in our regional critical care network. Scores were generated for each model for where patients had complete data (CAHP = 347, MIRACLE2 = 375, OHCA = 356, TTM = 385). Cerebral Performance Category (CPC) outcome was calculated for each patient at last documented follow up and an unfavourable outcome defined as CPC ⩾ 3. Performance for discrimination of unfavourable outcome was tested by generating receiver operating characteristic (ROC) curves for each model and comparing the area under the curve (AUC). Results: Best performance for discrimination of unfavourable outcome was demonstrated by the high risk group of the CAHP score with an AUC of 0.87 [95% CI 0.83–0.91], specificity of 97.1% [95% CI 93.8–100] and positive predictive value (PPV) of 96.3% [95% CI 92.2–100]. The high risk group of the MIRACLE2 model, which is significantly easier to calculate, had an AUC of 0.81 [95% CI 0.76–0.86], specificity of 92.3% [95% CI 87.2–97.4] and PPV of 95.2% [95% CI 91.9–98.4]. Conclusion: The CAHP, MIRACLE2, OHCA and TTM scores all perform comparably in a UK population to the original development and validation cohorts. All four scores outperform APACHE-II in a population of patients resuscitated from OHCA. CAHP and TTM perform best but are more complex to calculate than MIRACLE2, which displays inferior performance.

Publisher

SAGE Publications

Subject

Critical Care and Intensive Care Medicine,Critical Care Nursing

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