bilaterally absent pupillary light reflexes (PLR) or N20 waves of short-latency evoked potentials (SSEPs) are recommended by the 2015 ERC-ESICM guidelines as robust, first-line predictors of poor neurological outcome after cardiac arrest. However, recent evidence shows that the false positive rates (FPRs) of these tests may be higher than previously reported. We investigated if testing accuracy is improved when combining PLR/SSEPs with malignant electroencephalogram (EEG), oedema on brain computed tomography (CT), or early status myoclonus (SM).
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 / Scarpino, Maenia; Lolli, Francesco; Lanzo, Giovanni; Carrai, Riccardo; Spalletti, Maddalena; Valzania, Franco; Lombardi, Maria; Audenino, Daniela; Celani, Maria Grazia; Marrelli, Alfonso; Contardi, Sara; Peris, Adriano; Amantini, Aldo; Grippo, Antonello; Sandroni, Claudio. - In: RESUSCITATION. - ISSN 0300-9572. - STAMPA. - --:(2020), pp. 00-06. [10.1016/j.resuscitation.2020.12.003]
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
Scarpino, Maenia;Lolli, Francesco;Lanzo, Giovanni;Carrai, Riccardo;Spalletti, Maddalena;Peris, Adriano;Amantini, Aldo;Grippo, Antonello;Sandroni, Claudio
2020
Abstract
bilaterally absent pupillary light reflexes (PLR) or N20 waves of short-latency evoked potentials (SSEPs) are recommended by the 2015 ERC-ESICM guidelines as robust, first-line predictors of poor neurological outcome after cardiac arrest. However, recent evidence shows that the false positive rates (FPRs) of these tests may be higher than previously reported. We investigated if testing accuracy is improved when combining PLR/SSEPs with malignant electroencephalogram (EEG), oedema on brain computed tomography (CT), or early status myoclonus (SM).File | Dimensione | Formato | |
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