The International Cardiac Arrest Research (I-CARE) Consortium Electroencephalography Database.

EEG database heart arrest hypoxic-ischemic encephalopathy machine learning

Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
28 Aug 2023
Historique:
pubmed: 11 9 2023
medline: 11 9 2023
entrez: 11 9 2023
Statut: epublish

Résumé

To develop a harmonized multicenter clinical and electroencephalography (EEG) database for acute hypoxic-ischemic brain injury research involving patients with cardiac arrest. Multicenter cohort, partly prospective and partly retrospective. Seven academic or teaching hospitals from the U.S. and Europe. Individuals aged 16 or older who were comatose after return of spontaneous circulation following a cardiac arrest who had continuous EEG monitoring were included. not applicable. Clinical and EEG data were harmonized and stored in a common Waveform Database (WFDB)-compatible format. Automated spike frequency, background continuity, and artifact detection on EEG were calculated with 10 second resolution and summarized hourly. Neurological outcome was determined at 3-6 months using the best Cerebral Performance Category (CPC) scale. This database includes clinical and 56,676 hours (3.9 TB) of continuous EEG data for 1,020 patients. Most patients died (N=603, 59%), 48 (5%) had severe neurological disability (CPC 3 or 4), and 369 (36%) had good functional recovery (CPC 1-2). There is significant variability in mean EEG recording duration depending on the neurological outcome (range 53-102h for CPC 1 and CPC 4, respectively). Epileptiform activity averaging 1 Hz or more in frequency for at least one hour was seen in 258 (25%) patients (19% for CPC 1-2 and 29% for CPC 3-5). Burst suppression was observed for at least one hour in 207 (56%) and 635 (97%) patients with CPC 1-2 and CPC 3-5, respectively. The International Cardiac Arrest Research (I-CARE) consortium database provides a comprehensive real-world clinical and EEG dataset for neurophysiology research of comatose patients after cardiac arrest. This dataset covers the spectrum of abnormal EEG patterns after cardiac arrest, including epileptiform patterns and those in the ictal-interictal continuum.

Identifiants

pubmed: 37693458
doi: 10.1101/2023.08.28.23294672
pmc: PMC10491275
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB030362
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS102190
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007901
Pays : United States
Organisme : NIBIB NIH HHS
ID : T32 EB001680
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS102574
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS090900
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS107291
Pays : United States
Organisme : NIDA NIH HHS
ID : T90 DA022759
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS119794
Pays : United States

Commentaires et corrections

Type : UpdateIn

Déclaration de conflit d'intérêts

Potential Conflicts of Interest E.A., W.L.Z., M.M.G., M.A., P.K., V.K., J.W.L., L.J.H., S.T.H., A.S., N.G., R.S., M.A.R., G.D.C., and J.H. report no disclosures. M.V.P is the founder of Clinical Science Systems. Clinical Science Systems did not contribute funding nor played any role in the study. M.B.W. is a co-founder of Beacon Biosignals. Beacon Biosignals did not contribute funding nor played any role in the study.

Auteurs

Edilberto Amorim (E)

Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.
Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Wei-Long Zheng (WL)

Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, CN.

Mohammad M Ghassemi (MM)

Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, USA.

Mahsa Aghaeeaval (M)

Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.

Pravinkumar Kandhare (P)

Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.

Vishnu Karukonda (V)

Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.

Jong Woo Lee (JW)

Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Susan T Herman (ST)

Department of Neurology, Barrow Neurological Institute, Comprehensive Epilepsy Center, Phoenix, Arizona, USA.

Adithya Sivaraju (A)

Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.

Nicolas Gaspard (N)

Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Department of Neurology, Universite Libre de Bruxelles, Brussels, Belgium.

Jeannette Hofmeijer (J)

Clinical Neurophysiology Group, University of Twente, Enschede, The Netherlands.
Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands.

Michel J A M van Putten (MJAM)

Clinical Neurophysiology Group, University of Twente, Enschede, The Netherlands.
Department of Neurology and Clinical Neurophysiology, Medisch Spectrum Twente, The Netherlands.

Reza Sameni (R)

Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, Georgia, USA.

Matthew A Reyna (MA)

Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, Georgia, USA.

Gari D Clifford (GD)

Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, Georgia, USA.
Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, Georgia, USA.

M Brandon Westover (MB)

Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.

Classifications MeSH