Data on multimodal approach for early poor outcome (Cerebral Performance Categories 3-5) prediction after cardiac arrest
| Autor: | Francesco Lolli, Maenia Scarpino, Marco Moretti, Riccardo Carrai, Aldo Amantini, Antonello Grippo, Adriano Peris, Giovanni Lanzo, Morena Cozzolino, M. Spalletti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
Grey matter Electroencephalography lcsh:Computer applications to medicine. Medical informatics White matter 03 medical and health sciences 0302 clinical medicine Text mining Internal medicine medicine Severe disability lcsh:Science (General) Multidisciplinary medicine.diagnostic_test business.industry 030208 emergency & critical care medicine Multimodal therapy Medicine and Dentistry medicine.anatomical_structure Somatosensory evoked potential Cardiology lcsh:R858-859.7 Wakefulness business 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 19, Iss, Pp 704-711 (2018) Data in Brief |
| ISSN: | 2352-3409 |
| Popis: | The data presented in this article are related to our research article entitled ‘Neurophysiological and neuroradiological multimodal approach for early poor outcome prediction after cardiac arrest’ (Scarpino et al., 2018) [1]. We reported two additional analyses, including results gathered from somatosensory evoked potentials(SEPs), brain computed tomography(CT) and electroencephalography(EEG) performed on 183 subjects within the first 24 h after cardiac arrest(CA). In the first analysis, we considered the Cerebral Performance Categories(CPC) 3, 4 and 5a,b (severe disability, unresponsive wakefulness state, neurological death and non-neurological death, respectively) as poor outcomes. In the second analysis, patients that died from non-neurological causes (CPC 5b) were excluded from the analysis. Concerning the first analysis, bilateral absent/absent-pathologic(AA/AP) cortical SEPs predicted poor outcome with a sensitivity of 49.3%. A Grey Matter/White Matter(GM/WM) ratio |
| Databáze: | OpenAIRE |
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