The Evoked Potential Score for SSEP and BAEP-A Prognostic Marker for the Long-Term Neurological Outcome in Patients after Poor-Grade Subarachnoid Hemorrhage.

aneurysm brainstem auditory evoked potentials evoked potential score neurorehabilitation somatosensory evoked potentials subarachnoid hemorrhage

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
11 Jun 2021
Historique:
received: 13 04 2021
revised: 30 05 2021
accepted: 10 06 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 3 7 2021
Statut: epublish

Résumé

Evoked potentials are widely used in comatose patients to evaluate neurological function; however, prognostic relevance in patients after SAH is barely investigated. Therefore, we aimed to investigate the prognostic value of the proposed Evoked Potential Score (EPS) for somatosensory (SSEP) and brainstem auditory evoked potentials (BAEP) on the neurological outcome in patients after poor-grade SAH. We retrospectively analyzed patients after poor grade SAH (Hunt and Hess (HH) grade IV and V) that were admitted to the ICU at the Department of Neurosurgery, MUV, between 2014 and 2017. Measurements of SSEP and BAEP were evaluated separately as well as in a combined model, using the EPS at admission and before ventilator weaning and correlated with the grade of the modified ranking scale at the last available follow up. In total, 48 patients after SAH HH IV/V were included in this study. The EPS for SSEP at admission ( In the first series to date we found a high prognostic significance for the EPS as a combined model, as well as a separate analysis for SSEP and BAEP in patients after SAH IV and V. In the future, these findings potentially support physicians in ethically challenging decision-making processes and in advice for patients' families under consideration of an individual evaluation of each patient.

Identifiants

pubmed: 34208217
pii: diagnostics11061075
doi: 10.3390/diagnostics11061075
pmc: PMC8230908
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Lisa I Wadiura (LI)

Department of Neurosurgery, Medical University of Vienna, 1090 Wien, Austria.

Johannes Herta (J)

Department of Neurosurgery, Medical University of Vienna, 1090 Wien, Austria.

Mario Mischkulnig (M)

Department of Neurosurgery, Medical University of Vienna, 1090 Wien, Austria.

Dorian Hirschmann (D)

Department of Neurosurgery, Medical University of Vienna, 1090 Wien, Austria.

Martin Borkovec (M)

Department of Statistics, Ludwig-Maximilians-University Munich, 80539 München, Germany.

Arthur Hosmann (A)

Department of Neurosurgery, Medical University of Vienna, 1090 Wien, Austria.

Andrea Reinprecht (A)

Department of Neurosurgery, Medical University of Vienna, 1090 Wien, Austria.

Classifications MeSH