Cargando…
Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication data
The data presented here are related to our research article entitled “Neurophysiology and neuroimaging accurately predict poor neurological outcome within 24 hours after cardiac arrest: a prospective multicentre prognostication study (ProNeCA)” [1]. We report a secondary analysis on the ability of s...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864134/ https://www.ncbi.nlm.nih.gov/pubmed/31763408 http://dx.doi.org/10.1016/j.dib.2019.104755 |
_version_ | 1783471831862214656 |
---|---|
author | 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 Sandroni, Claudio Grippo, Antonello |
author_facet | 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 Sandroni, Claudio Grippo, Antonello |
author_sort | Scarpino, Maenia |
collection | PubMed |
description | The data presented here are related to our research article entitled “Neurophysiology and neuroimaging accurately predict poor neurological outcome within 24 hours after cardiac arrest: a prospective multicentre prognostication study (ProNeCA)” [1]. We report a secondary analysis on the ability of somatosensory evoked potentials (SEPs), brain computed tomography (CT) and electroencephalography (EEG) to predict poor neurological outcome at 6 months in 346 patients who were comatose after cardiac arrest. Differently from the related research article, here we included cerebral performance category (CPC) 3 among poor outcomes, so that the outcomes are dichotomised as CPC 1–2 (absent to mild neurological disability: good outcome) vs. CPC 3–5 (severe neurological disability, persistent vegetative state, or death: poor outcome). The accuracy of the index tests was recalculated accordingly. A bilaterally absent/absent-pathological amplitude (AA/AP) N20 SEPs wave, a Grey Matter/White Matter (GM/WM) ratio <1.21 on brain CT and an isoelectric or burst suppression EEG predicted poor outcome with 49.6%, 42.2% and 29.8% sensitivity, respectively, and 100% specificity. The distribution of positive results of the three predictors did not overlap completely in the population of patients with poor outcome, so that when combining them the overall sensitivity raised to 61.2%. |
format | Online Article Text |
id | pubmed-6864134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68641342019-11-22 Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication data 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 Sandroni, Claudio Grippo, Antonello Data Brief Medicine and Dentistry The data presented here are related to our research article entitled “Neurophysiology and neuroimaging accurately predict poor neurological outcome within 24 hours after cardiac arrest: a prospective multicentre prognostication study (ProNeCA)” [1]. We report a secondary analysis on the ability of somatosensory evoked potentials (SEPs), brain computed tomography (CT) and electroencephalography (EEG) to predict poor neurological outcome at 6 months in 346 patients who were comatose after cardiac arrest. Differently from the related research article, here we included cerebral performance category (CPC) 3 among poor outcomes, so that the outcomes are dichotomised as CPC 1–2 (absent to mild neurological disability: good outcome) vs. CPC 3–5 (severe neurological disability, persistent vegetative state, or death: poor outcome). The accuracy of the index tests was recalculated accordingly. A bilaterally absent/absent-pathological amplitude (AA/AP) N20 SEPs wave, a Grey Matter/White Matter (GM/WM) ratio <1.21 on brain CT and an isoelectric or burst suppression EEG predicted poor outcome with 49.6%, 42.2% and 29.8% sensitivity, respectively, and 100% specificity. The distribution of positive results of the three predictors did not overlap completely in the population of patients with poor outcome, so that when combining them the overall sensitivity raised to 61.2%. Elsevier 2019-11-04 /pmc/articles/PMC6864134/ /pubmed/31763408 http://dx.doi.org/10.1016/j.dib.2019.104755 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry 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 Sandroni, Claudio Grippo, Antonello Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication data |
title | Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication data |
title_full | Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication data |
title_fullStr | Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication data |
title_full_unstemmed | Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication data |
title_short | Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication data |
title_sort | neurophysiological and neuroradiological test for early poor outcome (cerebral performance categories 3–5) prediction after cardiac arrest: prospective multicentre prognostication data |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864134/ https://www.ncbi.nlm.nih.gov/pubmed/31763408 http://dx.doi.org/10.1016/j.dib.2019.104755 |
work_keys_str_mv | AT scarpinomaenia neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT lollifrancesco neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT lanzogiovanni neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT carrairiccardo neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT spallettimaddalena neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT valzaniafranco neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT lombardimaria neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT audeninodaniela neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT celanimariagrazia neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT marrellialfonso neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT contardisara neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT perisadriano neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT amantinialdo neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT sandroniclaudio neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT grippoantonello neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata AT neurophysiologicalandneuroradiologicaltestforearlypooroutcomecerebralperformancecategories35predictionaftercardiacarrestprospectivemulticentreprognosticationdata |