Does a combination of ≥ 2 abnormal tests vs the ERC-ESICM stepwise algorithm improve prediction of poor neurological outcome after cardiac arrest? A post-hoc analysis of the ProNeCA multicentre study
Resuscitation Dec 19, 2020
Scarpino M, Lolli F, Lanzo G, et al. - In this post-hoc analysis of ProNeCA multicentre prognostication study, experts explored whether testing accuracy for poor neurological outcome after cardiac arrest was improved when combining pupillary light reflexes (PLR)/short-latency evoked potentials (SSEPs) with malignant electroencephalogram (EEG), edema on brain computed tomography (CT), or early status myoclonus (SM). The prognostic accuracy of the ERC-ESICM prognostication strategy was compared with one that combined ≥ 2 abnormal outcomes from any of PLR, SSEPs, EEG, CT and SM. There were 210 adult comatose resuscitated patients examined, of whom 164 (78%) had poor neurological outcome (CPC 3–5) at six months. A prognostication strategy combining ≥ 2 among PLR, SSEPs, EEG, CT and SM in comatose resuscitated patients was more specific than the 2015 ERC-ESICM prognostication algorithm for anticipating the 6-month poor neurological outcome.
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