• Resuscitation · Jun 2019

    Distinct predictive values of current neuroprognostic guidelines in post-cardiac arrest patients.

    • Sonya E Zhou, Carolina B Maciel, Cora H Ormseth, Rachel Beekman, Emily J Gilmore, and David M Greer.
    • Department of Neurology, Yale University School of Medicine, New Haven, CT, United States. Electronic address: sonya.zhou@yale.edu.
    • Resuscitation. 2019 Jun 1; 139: 343-350.

    PurposeTo assess the performance of neuroprognostic guidelines proposed by the American Academy of Neurology (AAN), European Resuscitation Council/European Society of Intensive Care Medicine (ERC/ESICM), and American Heart Association (AHA) in predicting outcomes of patients who remain unconscious after cardiac arrest.MethodsWe retrospectively identified a cohort of unconscious post-cardiac arrest patients at a single tertiary care centre from 2011 to 2017 and reviewed hospital records for clinical, radiographic, electrophysiologic, and biochemical findings. Outcomes at discharge and 6 months post-arrest were abstracted and dichotomized as good (Cerebral Performance Category (CPC) scores of 1-2) versus poor (CPC 3-5). Outcomes predicted by current guidelines were compared to actual outcomes, with false positive rate (FPR) used as a measure of predictive value.ResultsOf 226 patients, 36% survived to discharge, including 24 with good outcomes; 52% had withdrawal of life-sustaining therapies (WLST) during hospitalization. The AAN guideline yielded discharge and 6-month FPR of 8% and 15%, respectively. In contrast, the ERC/ESICM had a FPR of 0% at both discharge and 6 months. The AHA predictors had variable specificities, with diffuse hypoxic-ischaemic injury on MRI performing especially poorly (FPR 12%) at both discharge and 6 months.ConclusionsThough each guideline had components that performed well, only the ERC/ESICM guideline yielded a 0% FPR. Amongst the AAN and AHA guidelines, false positives emerged more readily at 6 months, reflective of continuing recovery after discharge, even in a cohort inevitably biased by WLST. Further assessment of predictive modalities is needed to improve neuroprognostic accuracy.Copyright © 2019 Elsevier B.V. All rights reserved.

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