Predicting neurological outcome in adult patients with cardiac arrest: systematic review and meta-analysis of prediction model performance.

ABSTRACT

This work aims to assess the performance of two post-arrest (out-of-hospital cardiac arrest, OHCA, and cardiac arrest hospital prognosis, CAHP) and one pre-arrest (good outcome following attempted resuscitation, GO-FAR) prediction model for the prognostication of neurological outcome after cardiac arrest in a systematic review and meta-analysis. A systematic search was conducted in Embase, Medline, and Web of Science Core Collection from November 2006 to December 2021, and by forward citation tracking of key score publications. The search identified 1'021 records, of which 25 studies with a total of 124'168 patients were included in the review. A random-effects meta-analysis of C-statistics and overall calibration (total observed vs. expected [OE] ratio) was conducted. Discriminatory performance was good for the OHCA (summary C-statistic 0.83 [95% CI 0.81-0.85], 16 cohorts) and CAHP score (summary C-statistic 0.84 [95% CI 0.82-0.87], 14 cohorts) and acceptable for the GO-FAR score (summary C-statistic 0.78 [95% CI 0.72-0.84], five cohorts). Overall calibration was good for the OHCA (total OE ratio 0.78 [95% CI 0.67-0.92], nine cohorts) and the CAHP score (total OE ratio 0.78 [95% CI 0.72-0.84], nine cohorts) with an overestimation of poor outcome. Overall calibration of the GO-FAR score was poor with an underestimation of good outcome (total OE ratio 1.62 [95% CI 1.28-2.04], five cohorts). Two post-arrest scores showed good prognostic accuracy for predicting neurological outcome after cardiac arrest and may support early discussions about goals-of-care and therapeutic planning on the intensive care unit. A pre-arrest score showed acceptable prognostic accuracy and may support code status discussions.