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Bencsik C, Josephson C, Soo A, Ainsworth C, Savard M, van Diepen S, Kramer A, Kromm J. The Evolving Role of Electroencephalography in Postarrest Care. Can J Neurol Sci 2024:1-13. [PMID: 38572611 DOI: 10.1017/cjn.2024.55] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
Electroencephalography is an accessible, portable, noninvasive and safe means of evaluating a patient's brain activity. It can aid in diagnosis and management decisions for post-cardiac arrest patients with seizures, myoclonus and other non-epileptic movements. It also plays an important role in a multimodal approach to neuroprognostication predicting both poor and favorable outcomes. Individuals ordering, performing and interpreting these tests, regardless of the indication, should understand the supporting evidence, logistical considerations, limitations and impact the results may have on postarrest patients and their families as outlined herein.
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Affiliation(s)
- Caralyn Bencsik
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
| | - Colin Josephson
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Andrea Soo
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
| | - Craig Ainsworth
- Division of Cardiology, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Martin Savard
- Département de Médecine, Université Laval, Quebec City, QC, Canada
| | - Sean van Diepen
- Department of Critical Care Medicine, University of Alberta, Edmonton, AB, Canada
- Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Andreas Kramer
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Julie Kromm
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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2
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Gallucci A, Varoli E, Del Mauro L, Hassan G, Rovida M, Comanducci A, Casarotto S, Lo Re V, Romero Lauro LJ. Multimodal approaches supporting the diagnosis, prognosis and investigation of neural correlates of disorders of consciousness: A systematic review. Eur J Neurosci 2024; 59:874-933. [PMID: 38140883 DOI: 10.1111/ejn.16149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 08/30/2023] [Accepted: 09/11/2023] [Indexed: 12/24/2023]
Abstract
The limits of the standard, behaviour-based clinical assessment of patients with disorders of consciousness (DoC) prompted the employment of functional neuroimaging, neurometabolic, neurophysiological and neurostimulation techniques, to detect brain-based covert markers of awareness. However, uni-modal approaches, consisting in employing just one of those techniques, are usually not sufficient to provide an exhaustive exploration of the neural underpinnings of residual awareness. This systematic review aimed at collecting the evidence from studies employing a multimodal approach, that is, combining more instruments to complement DoC diagnosis, prognosis and better investigating their neural correlates. Following the PRISMA guidelines, records from PubMed, EMBASE and Scopus were screened to select peer-review original articles in which a multi-modal approach was used for the assessment of adult patients with a diagnosis of DoC. Ninety-two observational studies and 32 case reports or case series met the inclusion criteria. Results highlighted a diagnostic and prognostic advantage of multi-modal approaches that involve electroencephalography-based (EEG-based) measurements together with neuroimaging or neurometabolic data or with neurostimulation. Multimodal assessment deepened the knowledge on the neural networks underlying consciousness, by showing correlations between the integrity of the default mode network and the different clinical diagnosis of DoC. However, except for studies using transcranial magnetic stimulation combined with electroencephalography, the integration of more than one technique in most of the cases occurs without an a priori-designed multi-modal diagnostic approach. Our review supports the feasibility and underlines the advantages of a multimodal approach for the diagnosis, prognosis and for the investigation of neural correlates of DoCs.
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Affiliation(s)
- Alessia Gallucci
- Ph.D. Program in Neuroscience, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- NeuroMi (Neuroscience Center), University of Milano-Bicocca, Milan, Italy
| | - Erica Varoli
- Neurology Service, Department of Diagnostic and Therapeutic Services, Istituto di Ricovero e Cura a Carattere Scientifico-Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione (IRCCS ISMETT), Palermo, Italy
| | - Lilia Del Mauro
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Gabriel Hassan
- Department of Biomedical and Clinical Sciences, University of Milan, Italy
| | - Margherita Rovida
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Angela Comanducci
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
- Università Campus Bio-Medico di Roma, Rome, Italy
| | - Silvia Casarotto
- Department of Biomedical and Clinical Sciences, University of Milan, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Vincenzina Lo Re
- Neurology Service, Department of Diagnostic and Therapeutic Services, Istituto di Ricovero e Cura a Carattere Scientifico-Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione (IRCCS ISMETT), Palermo, Italy
| | - Leonor J Romero Lauro
- NeuroMi (Neuroscience Center), University of Milano-Bicocca, Milan, Italy
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
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3
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Hirsch KG, Abella BS, Amorim E, Bader MK, Barletta JF, Berg K, Callaway CW, Friberg H, Gilmore EJ, Greer DM, Kern KB, Livesay S, May TL, Neumar RW, Nolan JP, Oddo M, Peberdy MA, Poloyac SM, Seder D, Taccone FS, Uzendu A, Walsh B, Zimmerman JL, Geocadin RG. Critical Care Management of Patients After Cardiac Arrest: A Scientific Statement from the American Heart Association and Neurocritical Care Society. Neurocrit Care 2024; 40:1-37. [PMID: 38040992 PMCID: PMC10861627 DOI: 10.1007/s12028-023-01871-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 06/08/2023] [Indexed: 12/03/2023]
Abstract
The critical care management of patients after cardiac arrest is burdened by a lack of high-quality clinical studies and the resultant lack of high-certainty evidence. This results in limited practice guideline recommendations, which may lead to uncertainty and variability in management. Critical care management is crucial in patients after cardiac arrest and affects outcome. Although guidelines address some relevant topics (including temperature control and neurological prognostication of comatose survivors, 2 topics for which there are more robust clinical studies), many important subject areas have limited or nonexistent clinical studies, leading to the absence of guidelines or low-certainty evidence. The American Heart Association Emergency Cardiovascular Care Committee and the Neurocritical Care Society collaborated to address this gap by organizing an expert consensus panel and conference. Twenty-four experienced practitioners (including physicians, nurses, pharmacists, and a respiratory therapist) from multiple medical specialties, levels, institutions, and countries made up the panel. Topics were identified and prioritized by the panel and arranged by organ system to facilitate discussion, debate, and consensus building. Statements related to postarrest management were generated, and 80% agreement was required to approve a statement. Voting was anonymous and web based. Topics addressed include neurological, cardiac, pulmonary, hematological, infectious, gastrointestinal, endocrine, and general critical care management. Areas of uncertainty, areas for which no consensus was reached, and future research directions are also included. Until high-quality studies that inform practice guidelines in these areas are available, the expert panel consensus statements that are provided can advise clinicians on the critical care management of patients after cardiac arrest.
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Affiliation(s)
| | | | - Edilberto Amorim
- San Francisco-Weill Institute for Neurosciences, University of California, San Francisco, USA
| | - Mary Kay Bader
- Providence Mission Hospital Nursing Center of Excellence/Critical Care Services, Mission Viejo, USA
| | | | | | | | | | | | | | - Karl B Kern
- Sarver Heart Center, University of Arizona, Tucson, USA
| | | | | | | | - Jerry P Nolan
- Warwick Medical School, University of Warwick, Coventry, UK
- Royal United Hospital, Bath, UK
| | - Mauro Oddo
- CHUV-Lausanne University Hospital, Lausanne, Switzerland
| | | | | | | | | | - Anezi Uzendu
- St. Luke's Mid America Heart Institute, Kansas City, USA
| | - Brian Walsh
- University of Texas Medical Branch School of Health Sciences, Galveston, USA
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4
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Hirsch KG, Abella BS, Amorim E, Bader MK, Barletta JF, Berg K, Callaway CW, Friberg H, Gilmore EJ, Greer DM, Kern KB, Livesay S, May TL, Neumar RW, Nolan JP, Oddo M, Peberdy MA, Poloyac SM, Seder D, Taccone FS, Uzendu A, Walsh B, Zimmerman JL, Geocadin RG. Critical Care Management of Patients After Cardiac Arrest: A Scientific Statement From the American Heart Association and Neurocritical Care Society. Circulation 2024; 149:e168-e200. [PMID: 38014539 PMCID: PMC10775969 DOI: 10.1161/cir.0000000000001163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
The critical care management of patients after cardiac arrest is burdened by a lack of high-quality clinical studies and the resultant lack of high-certainty evidence. This results in limited practice guideline recommendations, which may lead to uncertainty and variability in management. Critical care management is crucial in patients after cardiac arrest and affects outcome. Although guidelines address some relevant topics (including temperature control and neurological prognostication of comatose survivors, 2 topics for which there are more robust clinical studies), many important subject areas have limited or nonexistent clinical studies, leading to the absence of guidelines or low-certainty evidence. The American Heart Association Emergency Cardiovascular Care Committee and the Neurocritical Care Society collaborated to address this gap by organizing an expert consensus panel and conference. Twenty-four experienced practitioners (including physicians, nurses, pharmacists, and a respiratory therapist) from multiple medical specialties, levels, institutions, and countries made up the panel. Topics were identified and prioritized by the panel and arranged by organ system to facilitate discussion, debate, and consensus building. Statements related to postarrest management were generated, and 80% agreement was required to approve a statement. Voting was anonymous and web based. Topics addressed include neurological, cardiac, pulmonary, hematological, infectious, gastrointestinal, endocrine, and general critical care management. Areas of uncertainty, areas for which no consensus was reached, and future research directions are also included. Until high-quality studies that inform practice guidelines in these areas are available, the expert panel consensus statements that are provided can advise clinicians on the critical care management of patients after cardiac arrest.
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5
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Orav K, Bosque Varela P, Prüwasser T, Machegger L, Leitinger M, Trinka E, Kuchukhidze G. Post-hypoxic status epilepticus - A distinct subtype of status epilepticus with poor prognosis. Epileptic Disord 2023; 25:823-832. [PMID: 37776308 PMCID: PMC10947449 DOI: 10.1002/epd2.20164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/31/2023] [Accepted: 09/23/2023] [Indexed: 10/02/2023]
Abstract
OBJECTIVE To evaluate the clinical outcome of patients with possible and definitive post-hypoxic status epilepticus (SE) and to describe the SE types in patients with definitive post-hypoxic SE. METHODS Patients with definitive or possible SE resulting from hypoxic brain injury after cardiac arrest (CA) were prospectively recruited. Intermittent EEG was used for the diagnosis of SE according to clinical practice. Two raters blinded to outcome analyzed EEGs retrospectively for possible and definitive SE patterns and background features (frequency, continuity, reactivity, and voltage). Definitive SE was classified according to semiology (ILAE). Mortality and Cerebral Performance Categories (CPC) score were evaluated 1 month after CA. RESULTS We included 64 patients of whom 92% died. Among the survivors, only one patient had a good neurological outcome (CPC 1). No patient survived with a burst suppression pattern, low voltage, or electro-cerebral silence in any EEG. Possible or definitive SE was diagnosed in a median of 47 h (IQR 39-72 h) after CA. EEG criteria for definitive electrographic SE were fulfilled in 39% of patients; in 38% - for electroclinical SE and in 23% - for ictal-interictal continuum (IIC). The outcome did not differ significantly between the three groups. The only patient with good functional outcome belonged to the IIC group. Comatose non-convulsive SE (NCSE) without subtle motor phenomenon occurred in 20% of patients with definitive electrographic SE and outcome was similar to other types of SE. SIGNIFICANCE Possible or definitive SE due to hypoxic brain injury is associated with poor prognosis. The outcome of patients with electrographic SE, electroclinical SE, and IIC did not differ significantly. Outcome was similar in patients with definitive electrographic SE with and without prominent motor features.
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Affiliation(s)
- Kateriine Orav
- Department of Neurology, Member of the European Reference Network EpiCARE, Centre for Cognitive Neuroscience, Christian Doppler University HospitalParacelsus Medical University of SalzburgSalzburgAustria
- Department of NeurologyNorth Estonia Medical CentreTallinnEstonia
| | - Pilar Bosque Varela
- Department of Neurology, Member of the European Reference Network EpiCARE, Centre for Cognitive Neuroscience, Christian Doppler University HospitalParacelsus Medical University of SalzburgSalzburgAustria
| | - Tanja Prüwasser
- Department of Neurology, Member of the European Reference Network EpiCARE, Centre for Cognitive Neuroscience, Christian Doppler University HospitalParacelsus Medical University of SalzburgSalzburgAustria
- Department of MathematicsParis‐Lodron UniversitySalzburgAustria
| | - Lukas Machegger
- Department of Neuroradiology, Christian Doppler University HospitalParacelsus Medical University of SalzburgSalzburgAustria
| | - Markus Leitinger
- Department of Neurology, Member of the European Reference Network EpiCARE, Centre for Cognitive Neuroscience, Christian Doppler University HospitalParacelsus Medical University of SalzburgSalzburgAustria
| | - Eugen Trinka
- Department of Neurology, Member of the European Reference Network EpiCARE, Centre for Cognitive Neuroscience, Christian Doppler University HospitalParacelsus Medical University of SalzburgSalzburgAustria
- Neuroscience InstituteChristian Doppler University HospitalSalzburgAustria
- Karl Landsteiner Institute for Neurorehabilitation and Space NeurologySalzburgAustria
| | - Giorgi Kuchukhidze
- Department of Neurology, Member of the European Reference Network EpiCARE, Centre for Cognitive Neuroscience, Christian Doppler University HospitalParacelsus Medical University of SalzburgSalzburgAustria
- Neuroscience InstituteChristian Doppler University HospitalSalzburgAustria
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6
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Rajajee V, Muehlschlegel S, Wartenberg KE, Alexander SA, Busl KM, Chou SHY, Creutzfeldt CJ, Fontaine GV, Fried H, Hocker SE, Hwang DY, Kim KS, Madzar D, Mahanes D, Mainali S, Meixensberger J, Montellano F, Sakowitz OW, Weimar C, Westermaier T, Varelas PN. Guidelines for Neuroprognostication in Comatose Adult Survivors of Cardiac Arrest. Neurocrit Care 2023; 38:533-563. [PMID: 36949360 PMCID: PMC10241762 DOI: 10.1007/s12028-023-01688-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 01/30/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND Among cardiac arrest survivors, about half remain comatose 72 h following return of spontaneous circulation (ROSC). Prognostication of poor neurological outcome in this population may result in withdrawal of life-sustaining therapy and death. The objective of this article is to provide recommendations on the reliability of select clinical predictors that serve as the basis of neuroprognostication and provide guidance to clinicians counseling surrogates of comatose cardiac arrest survivors. METHODS A narrative systematic review was completed using Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. Candidate predictors, which included clinical variables and prediction models, were selected based on clinical relevance and the presence of an appropriate body of evidence. The Population, Intervention, Comparator, Outcome, Timing, Setting (PICOTS) question was framed as follows: "When counseling surrogates of comatose adult survivors of cardiac arrest, should [predictor, with time of assessment if appropriate] be considered a reliable predictor of poor functional outcome assessed at 3 months or later?" Additional full-text screening criteria were used to exclude small and lower-quality studies. Following construction of the evidence profile and summary of findings, recommendations were based on four GRADE criteria: quality of evidence, balance of desirable and undesirable consequences, values and preferences, and resource use. In addition, good practice recommendations addressed essential principles of neuroprognostication that could not be framed in PICOTS format. RESULTS Eleven candidate clinical variables and three prediction models were selected based on clinical relevance and the presence of an appropriate body of literature. A total of 72 articles met our eligibility criteria to guide recommendations. Good practice recommendations include waiting 72 h following ROSC/rewarming prior to neuroprognostication, avoiding sedation or other confounders, the use of multimodal assessment, and an extended period of observation for awakening in patients with an indeterminate prognosis, if consistent with goals of care. The bilateral absence of pupillary light response > 72 h from ROSC and the bilateral absence of N20 response on somatosensory evoked potential testing were identified as reliable predictors. Computed tomography or magnetic resonance imaging of the brain > 48 h from ROSC and electroencephalography > 72 h from ROSC were identified as moderately reliable predictors. CONCLUSIONS These guidelines provide recommendations on the reliability of predictors of poor outcome in the context of counseling surrogates of comatose survivors of cardiac arrest and suggest broad principles of neuroprognostication. Few predictors were considered reliable or moderately reliable based on the available body of evidence.
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Affiliation(s)
- Venkatakrishna Rajajee
- Departments of Neurology and Neurosurgery, 3552 Taubman Health Care Center, SPC 5338, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, MI, 48109-5338, USA.
| | - Susanne Muehlschlegel
- Departments of Neurology, Anesthesiology, and Surgery, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | | | | | - Katharina M Busl
- Departments of Neurology and Neurosurgery, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Sherry H Y Chou
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Gabriel V Fontaine
- Departments of Pharmacy and Neurosciences, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Herbert Fried
- Department of Neurosurgery, Denver Health Medical Center, Denver, CO, USA
| | - Sara E Hocker
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - David Y Hwang
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Keri S Kim
- Pharmacy Practice, University of Illinois, Chicago, IL, USA
| | - Dominik Madzar
- Department of Neurology, University of Erlangen, Erlangen, Germany
| | - Dea Mahanes
- Departments of Neurology and Neurosurgery, University of Virginia Health, Charlottesville, VA, USA
| | - Shraddha Mainali
- Department of Neurology, Virginia Commonwealth University, Richmond, VA, USA
| | | | | | - Oliver W Sakowitz
- Department of Neurosurgery, Neurosurgery Center Ludwigsburg-Heilbronn, Ludwigsburg, Germany
| | - Christian Weimar
- Institute of Medical Informatics, Biometry, and Epidemiology, University Hospital Essen, Essen, Germany
- BDH-Clinic Elzach, Elzach, Germany
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7
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Baker AK, Griffith JL. To Treat or Not to Treat: Ethics of Management of Refractory Status Myoclonus Following Pediatric Anoxic Brain Injury. Semin Pediatr Neurol 2023; 45:101033. [PMID: 37003631 DOI: 10.1016/j.spen.2023.101033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 02/01/2023] [Accepted: 02/08/2023] [Indexed: 02/16/2023]
Abstract
The development of status myoclonus (SM) in a postcardiac arrest patient has historically been thought of as indicative of not only a poor neurologic outcome but of neurologic devastation. In many instances, this may lead clinicians to initiate conversations about withdrawal of life sustaining therapies (WLST) regardless of the time from return of spontaneous circulation (ROSC). Recent studies showing a percentage of patients may make a good recovery has called into question whether a self-fulfilling prophecy has developed where the concern for a poor neurologic outcome leads clinicians to prematurely discuss WLST. The issue is only further complicated by changing terminology, lack of neuro-axis localization, and limited data regarding association with electroencephalogram (EEG) characteristics, all of which could aid in the understanding of the severity of neurologic injury associated with SM. Here we review the initial literature reporting SM as indicative of poor neurologic outcome, the studies that call this into question, the various definitions of SM and related terms as well as data regarding association with EEG backgrounds. We propose that improved prognostication on outcomes results from combining the presence of SM with other clinical variables (eg EEG patterns, MRI findings, and clinical exam). We discuss the ethical implications of using SM as a prognostic tool and its impact on decisions about life-sustaining care in children following cardiac arrest. We advocate for prognostication efforts to be delayed for at least 72 hours following ROSC and thus to treat SM in those early hours and days.
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Affiliation(s)
- Alyson K Baker
- Department of Pediatrics, University of Nebraska Medical Center, Omaha, NE; Children's Hospital and Medical Center, Omaha, NE.
| | - Jennifer L Griffith
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO; Department of Neurology, Washington University School of Medicine, St. Louis, MO
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8
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Neurophysiological and Clinical Correlates of Acute Posthypoxic Myoclonus. J Clin Neurophysiol 2023; 40:117-122. [PMID: 36521068 DOI: 10.1097/wnp.0000000000000937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
SUMMARY Prognostication following cardiorespiratory arrest relies on the neurological examination, which is supported by neuroimaging and neurophysiological testing. Acute posthypoxic myoclonus (PHM) is a clinical entity that has prognostic significance and historically has been considered an indicator of poor outcome, but this is not invariably the case. "Malignant" and more "benign" forms of acute PHM have been described and differentiating them is key in understanding their meaning in prognosis. Neurophysiological tests, electroencephalogram in particular, and clinical phenotyping are crucial in defining subtypes of acute PHM. This review describes the neurophysiological and phenotypic markers of malignant and benign forms of acute PHM, a clinical approach to evaluating acute PHM following cardiorespiratory arrest in determining prognosis, and gaps in our understanding of acute PHM that require further study.
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9
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Alkhachroum A, Appavu B, Egawa S, Foreman B, Gaspard N, Gilmore EJ, Hirsch LJ, Kurtz P, Lambrecq V, Kromm J, Vespa P, Zafar SF, Rohaut B, Claassen J. Electroencephalogram in the intensive care unit: a focused look at acute brain injury. Intensive Care Med 2022; 48:1443-1462. [PMID: 35997792 PMCID: PMC10008537 DOI: 10.1007/s00134-022-06854-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/31/2022] [Indexed: 02/04/2023]
Abstract
Over the past decades, electroencephalography (EEG) has become a widely applied and highly sophisticated brain monitoring tool in a variety of intensive care unit (ICU) settings. The most common indication for EEG monitoring currently is the management of refractory status epilepticus. In addition, a number of studies have associated frequent seizures, including nonconvulsive status epilepticus (NCSE), with worsening secondary brain injury and with worse outcomes. With the widespread utilization of EEG (spot and continuous EEG), rhythmic and periodic patterns that do not fulfill strict seizure criteria have been identified, epidemiologically quantified, and linked to pathophysiological events across a wide spectrum of critical and acute illnesses, including acute brain injury. Increasingly, EEG is not just qualitatively described, but also quantitatively analyzed together with other modalities to generate innovative measurements with possible clinical relevance. In this review, we discuss the current knowledge and emerging applications of EEG in the ICU, including seizure detection, ischemia monitoring, detection of cortical spreading depolarizations, assessment of consciousness and prognostication. We also review some technical aspects and challenges of using EEG in the ICU including the logistics of setting up ICU EEG monitoring in resource-limited settings.
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Affiliation(s)
- Ayham Alkhachroum
- Department of Neurology, University of Miami, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Brian Appavu
- Department of Child Health and Neurology, University of Arizona College of Medicine-Phoenix, Phoenix, AZ, USA
- Department of Neurosciences, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Satoshi Egawa
- Neurointensive Care Unit, Department of Neurosurgery, and Stroke and Epilepsy Center, TMG Asaka Medical Center, Saitama, Japan
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, 231 Albert Sabin Way, Cincinnati, OH, USA
| | - Nicolas Gaspard
- Department of Neurology, Erasme Hospital, Free University of Brussels, Brussels, Belgium
| | - Emily J Gilmore
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
- Neurocritical Care and Emergency Neurology, Department of Neurology, Ale University School of Medicine, New Haven, CT, USA
| | - Lawrence J Hirsch
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Pedro Kurtz
- Department of Intensive Care Medicine, D'or Institute for Research and Education, Rio de Janeiro, Brazil
- Neurointensive Care, Paulo Niemeyer State Brain Institute, Rio de Janeiro, Brazil
| | - Virginie Lambrecq
- Department of Clinical Neurophysiology and Epilepsy Unit, AP-HP, Pitié Salpêtrière Hospital, Reference Center for Rare Epilepsies, 75013, Paris, France
| | - Julie Kromm
- Departments of Critical Care Medicine and Clinical Neurosciences, Cumming School of Medicine, Calgary, AB, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, AB, Canada
| | - Paul Vespa
- Brain Injury Research Center, Department of Neurosurgery, University of California, Los Angeles, USA
| | - Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin Rohaut
- Department of Neurology, Sorbonne Université, Pitié-Salpêtrière-AP-HP and Paris Brain Institute, ICM, Inserm, CNRS, Paris, France
| | - Jan Claassen
- Department of Neurology, Neurological Institute, Columbia University, New York Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA.
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10
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Bronder J, Cho SM, Geocadin RG, Ritzl EK. Revisiting EEG as part of the multidisciplinary approach to post-cardiac arrest care and prognostication: A review. Resusc Plus 2022; 9:100189. [PMID: 34988537 PMCID: PMC8693464 DOI: 10.1016/j.resplu.2021.100189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/24/2021] [Accepted: 11/26/2021] [Indexed: 11/01/2022] Open
Abstract
Since the 1960s, EEG has been used to assess the neurologic function of patients in the hours and days after cardiac arrest. Accurate and reliable prognostication after cardiac arrest is vital for tailoring aggressive patient care for those with a high likelihood of recovery and setting appropriate goals of care for those who have a high likelihood of a poor outcome. Attempts to define EEG's role in this process has evolved over the years. In this review, we provide important historical context about EEG's use, it's perceived unreliability in the post-cardiac arrest patient in the past and provide a detailed analysis of how this role has changed recently. A review of the 71 most recent and highest quality studies demonstrates that the introduction of a uniform classification and a timed approach to EEG analysis have positioned EEG as a complementary tool in the multimodal approach for prognostication. The review was created and intended for medical staff in the intensive care units and emphasizes EEG patterns and timing which portend both favorable and poor prognoses. Also, the review addresses the overall quality of the existing studies and discusses future directions to address the knowledge gaps in this field.
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Affiliation(s)
- Jay Bronder
- Epilepsy Fellow, Department of Neurology, Johns Hopkins Hospital, 600 N. Wolfe St / Meyer 2-147, Baltimore, MD 21287-7247, USA
| | - Sung-Min Cho
- Neuroscience Critical Care Division, Departments of Neurology, Neurosurgery, and Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Baltimore, MD 21287, USA
| | - Romergryko G Geocadin
- Professor of Neurology, Anesthesiology-Critical Care, Neurosurgery, and Joint Appointment in Medicine, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 455, Baltimore, MD 21287, USA
| | - Eva Katharina Ritzl
- Department of Neurology and Anesthesia and Critical Care Medicine, Johns Hopkins Hospital, 1800 Orleans Street, Suite 3329, Baltimore, MD 21287, USA
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11
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Ben Hadj Salem O, Jamme M, Paul M, Guillemet L, Dumas F, Pène F, Chiche JD, Charpentier J, Mira JP, Outin H, Azabou E, Cariou A. Post-cardiac arrest myoclonus and in ICU mortality: insights from the Parisian Registry of Cardiac Arrest (PROCAT). Neurol Sci 2022; 43:533-540. [PMID: 33895885 PMCID: PMC7670102 DOI: 10.1007/s10072-021-05276-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/19/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Post-cardiac arrest myoclonus (PCAM) is a frequent finding in resuscitated patients after cardiac arrest (CA), with rather poor prognostic significance. In this study, we evaluated the association of PCAM within intensive care unit (ICU) mortality from a university hospital CA patients' registry. METHODS Clinical data of consecutive CA survivors admitted in the intensive care unit (ICU) between January and December 2016 at the Paris Cochin University Hospital were assessed from the Parisian registry of cardiac arrest (PROCAT) and analyzed. Neurologic outcome was assessed using the Cerebral Performance Categories (CPC) scale at ICU discharge. Prevalence of PCAM and their association with mortality at ICU discharge were computed. RESULTS One hundred thirty-two (132) patients were included (73.5% males), median age of 66 years. Among them, 37 (28%) developed PCAM during their ICU stay. Only two patients with PCAM survived (5.4%). PCAM was strongly associated with mortality at ICU discharge (odds ratio 17.5 [4.2-123.2]). Sensitivity, specificity, PPV, and NPV of PCAM for prediction of death were 41%, 96%, 95%, and 46%, respectively. CONCLUSION PCAM was observed in nearly one-third of CA patients admitted in ICU. Patients with PCAM had a significantly higher likelihood of ICU mortality and a low likelihood of a good outcome. The prognostic value of PCAM seems rather bleak but remains nuanced and merits study in larger-scale prospective studies taking into account confounding factors.
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Affiliation(s)
- Omar Ben Hadj Salem
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
- Intensive Care Unit, Centre Hospitalier Intercommunal Meulan- Les Mureaux, Meulan-en-Yvelines, France
| | - Matthieu Jamme
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
| | - Marine Paul
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
- UFR de Médecine, Paris-Descartes-Sorbonne-Paris-Cité, Paris, France
| | - Lucie Guillemet
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
- UFR de Médecine, Paris-Descartes-Sorbonne-Paris-Cité, Paris, France
| | - Florence Dumas
- UFR de Médecine, Paris-Descartes-Sorbonne-Paris-Cité, Paris, France
- Paris Sudden-Death-Expertise-Centre, Paris, France
- Emergency Department, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
| | - Frédéric Pène
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
- UFR de Médecine, Paris-Descartes-Sorbonne-Paris-Cité, Paris, France
| | - Jean-Daniel Chiche
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
- UFR de Médecine, Paris-Descartes-Sorbonne-Paris-Cité, Paris, France
| | - Julien Charpentier
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
- UFR de Médecine, Paris-Descartes-Sorbonne-Paris-Cité, Paris, France
| | - Jean-Paul Mira
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
- UFR de Médecine, Paris-Descartes-Sorbonne-Paris-Cité, Paris, France
| | - Hervé Outin
- Intensive Care Unit, Poissy-Saint Germain en Laye, Centre Hospitalier Intercommunal, Poissy, France
| | - Eric Azabou
- Clinical Neurophysiology and Neuromodulation Unit, Raymond Poincaré Hospital, Assistance Publique -Hôpitaux de Paris, Garches, France.
- INSERM UMR1173 Infection and Inflammation (2I), University of Versailles-Saint Quentin (UVSQ), Paris Saclay University, 104 Boulevard Raymond Poincaré, 92380, Garches, Paris, France.
| | - Alain Cariou
- Medical Critical Care Unit, Cochin Hospital, Assistance Publique -Hôpitaux de Paris, Paris, France
- UFR de Médecine, Paris-Descartes-Sorbonne-Paris-Cité, Paris, France
- Paris Sudden-Death-Expertise-Centre, Paris, France
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12
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Kramer AH. Status Myoclonus: A Nuanced Predictor of Poor Outcome Post Cardiac Arrest. Neurocrit Care 2021; 36:346-349. [PMID: 34873671 DOI: 10.1007/s12028-021-01402-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 11/11/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Andreas H Kramer
- Departments of Critical Care Medicine and Clinical Neurosciences, University of Calgary, 3134 Hospital Drive N.W., Calgary, AB, T2N 2T9, Canada.
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13
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Status Myoclonus with Post-cardiac-arrest Syndrome: Implications for Prognostication. Neurocrit Care 2021; 36:387-394. [PMID: 34595685 DOI: 10.1007/s12028-021-01344-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 08/30/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Status myoclonus (SM) after cardiac arrest (CA) may signify devastating brain injury. We hypothesized that SM correlates with severe neurologic and systemic post-cardiac-arrest syndrome (PCAS). METHODS Charts of patients admitted with CA to Mayo Clinic Saint Marys Hospital between 2005 and 2019 were retrospectively reviewed. Data included the neurologic examination, ancillary neurologic tests, and systemic markers of PCAS. Nonsustained myoclonus was clinically differentiated from SM. The cerebral performance category score at discharge was assessed; poor outcome was a cerebral performance category score > 2 prior to withdrawal of life-sustaining therapies or death. RESULTS Of 296 patients included, 276 (93.2%) had out-of-hospital arrest and 202 (68.5%) had a shockable rhythm; the mean time to return of spontaneous circulation was 32 ± 19 min. One hundred seventy-six (59.5%) patients had a poor outcome. One hundred one (34.1%) patients had myoclonus, and 74 (73.2%) had SM. Neurologic predictors of poor outcome were extensor or absent motor response to noxious stimulus (p = 0.02, odds ratio [OR] 3.8, confidence interval [CI] 1.2-12.4), SM (p = 0.01, OR 10.3, CI 1.5-205.4), and burst suppression on EEG (p = 0.01, OR 4.6, CI 1.4-17.4). Of 74 patients with SM, 73 (98.6%) had a poor outcome. A nonshockable rhythm (p < 0.001, OR 4.5, CI 2.6-7.9), respiratory arrest (p < 0.001, OR 3.5, CI 1.7-7.2), chronic kidney disease (p < 0.001, OR 3.1, CI 1.6-6.0), and a pressor requirement (p < 0.001, OR 4.4, CI 1.8-10.6) were associated with SM. No patients with SM, anoxic-ischemic magnetic resonance imaging findings, and absent electroencephalographic reactivity had a good outcome. CONCLUSIONS Sustained status myoclonus after CPR is observed in patients with other reliable indicators of severe acute brain injury and systemic PCAS. These clinical determinants should be incorporated as part of a comprehensive approach to prognostication after CA.
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14
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Shaker H, Milan A, Alsallom F, Newey C, Hantus S, Punia V. Long-term electro-clinical profile of sudden cardiac arrest survivors. Epilepsia Open 2021; 6:559-568. [PMID: 34181820 PMCID: PMC8408603 DOI: 10.1002/epi4.12516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 06/08/2021] [Accepted: 06/11/2021] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Recent research has explored the use of continuous EEG (cEEG) monitoring for prognostication of spontaneous cardiac arrest (SCA). However, there is limited literature on the long-term (post-hospital discharge) electrographic findings among SCA survivors and their clinical correlates. Our study aims to fill this critical knowledge gap. METHODS We retrospectively used our EEG database to identify adults (≥18 years) with SCA history who underwent an outpatient laboratory-based EEG between 01/01/2011 and 12/31/2018. After electronic medical records (EMR) review, patients with epilepsy history and unclear/poorly documented SCA history were excluded. Outpatient EEGs were reviewed by authors. Acute EEG findings were extracted from the EEG database and EMR. In addition, we extracted data on acute and long-term neuroimaging findings (CT/MRI), post-SCA seizures, and anti-seizure medications (ASM) status. Descriptive analysis and Fisher's exact test were performed. RESULTS We included 32 SCA survivors (50% women; mean age = 52.1 ± 13.6 years) in the study. During a median clinical follow-up of 28.2 months, 3 patients suffered only clinical seizures, 3 only chronic post-hypoxic myoclonus, and 5 had both [11 (34.4%) in total]. Interictal epileptiform discharges (IEDs) were noted in one-third of the patients, which localized to vertex and frontocentral regions in all but one patient. Five (15.6%) of them did not suffer a clinical seizure despite the presence of EAs. Patients who developed epilepsy were significantly more likely to have abnormal neuroimaging findings [10/11 (90.9%)] during the follow-up compared to the rest of the patients [OR = 25 (95% CI 2.6->100, P = .002)]. Half of the study cohort was taking ASM at the last follow-up. SIGNIFICANCE Our small study reveals a signature location of IEDs in SCA survivors. Neuroimaging abnormalities seem to be a better indicator of epilepsy development, while EEG may reveal markers of potential epileptogenicity in the absence of clinical seizures. Future, larger studies are needed to confirm our findings.
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Affiliation(s)
- Hussam Shaker
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
- Epilepsy CenterMercy Health Hauenstein CenterGrand RapidsMichiganUSA
| | - Anna Milan
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - Faisal Alsallom
- Beth Israel Deaconess Medical CenterCleveland ClinicClevelandOHUSA
| | - Christopher Newey
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
- Cerebrovascular CenterNeurological InstituteCleveland ClinicClevelandOHUSA
- Center for Clinical Artificial IntelligenceCleveland ClinicClevelandOHUSA
| | - Stephen Hantus
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - Vineet Punia
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
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15
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Kim YM, Jeung KW, Kim WY, Park YS, Oh JS, You YH, Lee DH, Chae MK, Jeong YJ, Kim MC, Ha EJ, Hwang KJ, Kim WS, Lee JM, Cha KC, Chung SP, Park JD, Kim HS, Lee MJ, Na SH, Kim ARE, Hwang SO. 2020 Korean Guidelines for Cardiopulmonary Resuscitation. Part 5. Post-cardiac arrest care. Clin Exp Emerg Med 2021; 8:S41-S64. [PMID: 34034449 PMCID: PMC8171174 DOI: 10.15441/ceem.21.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 03/07/2021] [Accepted: 03/19/2021] [Indexed: 12/20/2022] Open
Affiliation(s)
- Young-Min Kim
- Department of Emergency Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Kyung Woon Jeung
- Department of Emergency Medicine, Chonnam National University College of Medicine, Gwangju, Korea
| | - Won Young Kim
- Department of Emergency Medicine, Asan Medical Center, Ulsan University College of Medicine, Seoul, Korea
| | - Yoo Seok Park
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Joo Suk Oh
- Department of Emergency Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Yeon Ho You
- Department of Emergency Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Dong Hoon Lee
- Department of Emergency Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Minjung Kathy Chae
- Department of Emergency Medicine, Ajou University College of Medicine, Suwon, Korea
| | - Yoo Jin Jeong
- Department of Emergency Medicine, Chonnam National University College of Medicine, Gwangju, Korea
| | - Min Chul Kim
- Department of Internal Medicine, Chonnam National University College of Medicine, Gwangju, Korea
| | - Eun Jin Ha
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea
| | - Kyoung Jin Hwang
- Department of Neurology, Kyung Hee University College of Medicine, Seoul, Korea
| | - Won-Seok Kim
- Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jae Myung Lee
- Department of General Surgery, Korea University College of Medicine, Seoul, Korea
| | - Kyoung-Chul Cha
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Sung Phil Chung
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - June Dong Park
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
| | - Han-Suk Kim
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
| | - Mi Jin Lee
- Department of Emergency Medicine, Kyoungbook University College of Medicine, Daegu, Korea
| | - Sang-Hoon Na
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Ai-Rhan Ellen Kim
- Department of Pediatrics, Ulsan University College of Medicine, Seoul, Korea
| | - Sung Oh Hwang
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - on behalf of the Steering Committee of 2020 Korean Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care
- Department of Emergency Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Chonnam National University College of Medicine, Gwangju, Korea
- Department of Emergency Medicine, Asan Medical Center, Ulsan University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Chungnam National University College of Medicine, Daejeon, Korea
- Department of Emergency Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Ajou University College of Medicine, Suwon, Korea
- Department of Internal Medicine, Chonnam National University College of Medicine, Gwangju, Korea
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea
- Department of Neurology, Kyung Hee University College of Medicine, Seoul, Korea
- Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of General Surgery, Korea University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Kyoungbook University College of Medicine, Daegu, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Pediatrics, Ulsan University College of Medicine, Seoul, Korea
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16
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Gudenkauf JC, Geocadin RG. Post-anoxic myoclonus: How can something unclear and unvalidated define early prognosis in cardiac arrest survivors? Resuscitation 2021; 162:412-414. [PMID: 33592230 DOI: 10.1016/j.resuscitation.2021.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 02/02/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Julie C Gudenkauf
- Department of Neurology, Johns Hopkins University School of Medicine, United States
| | - Romergryko G Geocadin
- Department of Neurology, Johns Hopkins University School of Medicine, United States; Department of Anesthesiology-Critical Care Medicine, Johns Hopkins University School of Medicine, United States; Department of Neurosurgery, Johns Hopkins University School of Medicine, United States.
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17
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Abstract
PURPOSE OF REVIEW Randomized controlled trials investigating the initial pharmacological treatment of status epilepticus have been recently published. Furthermore, status epilepticus arising in comatose survivors after cardiac arrest has received increasing attention in the last years. This review offers an updated assessment of status epilepticus treatment in these different scenarios. RECENT FINDINGS Initial benzodiazepines underdosing is common and correlates with development of status epilepticus refractoriness. The recently published ESETT trial provides high-level evidence regarding the equivalence of fosphenytoin, valproate, and levetiracetam as a second-line option. Myoclonus or epileptiform transients on electroencephalography occur in up to 1/3 of patients surviving a cardiac arrest. Contrary to previous assumptions regarding an almost invariable association with death, at least 1/10 of them may awaken with reasonably good prognosis, if treated. Multimodal prognostication including clinical examination, EEG, somatosensory evoked potentials, biochemical markers, and neuroimaging help identifying patients with a chance to recover consciousness, in whom a trial with antimyoclonic compounds and at times general anesthetics is indicated. SUMMARY There is a continuous, albeit relatively slow progress in knowledge regarding different aspect of status epilepticus; recent findings refine some treatment strategies and help improving patients' outcomes. Further high-quality studies are clearly needed to further improve the management of these patients, especially those with severe, refractory status epilepticus forms.
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18
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Abstract
Supplemental Digital Content is available in the text. End-of-life care and decisions on withdrawal of life-sustaining therapies vary across countries, which may affect the feasibility of future multicenter cardiac arrest trials. In Brazil, withdrawal of life-sustaining therapy is reportedly uncommon, allowing the natural history of postcardiac arrest hypoxic-ischemic brain injury to present itself. We aimed to characterize approaches to neuroprognostication of cardiac arrest survivors among physicians in Brazil.
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19
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Neuro-anatomical localization of EEG identical bursts in patients with and without post-anoxic myoclonus. Resuscitation 2020; 162:314-319. [PMID: 33127440 DOI: 10.1016/j.resuscitation.2020.10.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 10/14/2020] [Accepted: 10/16/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND The electroencephalograph (EEG) pattern of burst suppression with identical bursts (BSIB), with or without myoclonus, occurs often after resuscitation from cardiac arrest. These patterns are associated with severe brain injury but their neuropathological basis is unknown. Using EEG source localization, we tested whether post-cardiac arrest myoclonus was associated with specific anatomical distribution of BSIB. METHODS We performed a single center, case-control study of EEG-monitored post-cardiac arrest patients with BSIB. We determined the presence of myoclonus from clinical notes and video recordings. We generated normalized source density maps (sLORETA) for the first 0.5 s of each burst projected onto a standard anatomic model, and compared proportion of EEG power in the precentral gyrus (motor cortex) to the rest of the brain. RESULTS We included 20 patients, 10 with and 10 without myoclonus. Patients with myoclonus had greater electrical activation localized to the precentral gyrus compared to those without (median 3.25 [IQR 2.74-3.59] vs 2.68 [IQR 2.66-2.71], P = 0.04). There was no difference between groups in region of burst origin. CONCLUSION Among patients with BSIB after cardiac arrest, those with clinical myoclonus have more electrocortical activation in the precentral gyrus.
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20
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Cronberg T, Greer DM, Lilja G, Moulaert V, Swindell P, Rossetti AO. Brain injury after cardiac arrest: from prognostication of comatose patients to rehabilitation. Lancet Neurol 2020; 19:611-622. [PMID: 32562686 DOI: 10.1016/s1474-4422(20)30117-4] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 03/30/2020] [Accepted: 04/01/2020] [Indexed: 02/08/2023]
Abstract
More patients are surviving cardiac arrest than ever before; however, the burden now lies with estimating neurological prognoses in a large number of patients who were initially comatose, in whom the ultimate outcome is unclear. Neurologists, neurointensivists, and clinical neurophysiologists must accurately balance the concern that overly conservative prognostication could leave patients in a severely disabled state, with the possibility that inaccurately pessimistic prognostication could lead to the withdrawal of life-sustaining treatment in patients who might otherwise have a good functional outcome. Prognostic tools have improved greatly, including electrophysiological tests, neuroimaging, and chemical biomarkers. Conclusions about the prognosis should be delayed at least 72 h after arrest to allow for the clearance of sedative drugs. Cognitive impairments, emotional problems, and fatigue are common among patients who have survived cardiac arrest, and often go unrecognised despite being related to caregiver burden and a decreased participation in society. Through simple screening, these problems can be identified, and patients can be provided with adequate information and rehabilitation.
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Affiliation(s)
- Tobias Cronberg
- Department of Clinical Sciences, Neurology, Lund University, Skane University Hospital, Lund, Sweden.
| | - David M Greer
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Gisela Lilja
- Department of Clinical Sciences, Neurology, Lund University, Skane University Hospital, Lund, Sweden
| | - Véronique Moulaert
- Department of Rehabilitation Medicine, University of Groningen, University Medical Centre Groningen, Netherlands
| | | | - Andrea O Rossetti
- Department of Clinical Neurosciences, University Hospital and University of Lausanne, Lausanne, Switzerland
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21
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Beuchat I, Sivaraju A, Amorim E, Gilmore EJ, Dunet V, Rossetti AO, Westover MB, Hsu L, Scirica BM, Silva D, Tang K, Lee JW. MRI-EEG correlation for outcome prediction in postanoxic myoclonus: A multicenter study. Neurology 2020; 95:e335-e341. [PMID: 32482841 DOI: 10.1212/wnl.0000000000009610] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Accepted: 01/27/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To examine the prognostic ability of the combination of EEG and MRI in identifying patients with good outcome in postanoxic myoclonus (PAM) after cardiac arrest (CA). METHODS Adults with PAM who had an MRI within 20 days after CA were identified in 4 prospective CA registries. The primary outcome measure was coma recovery to command following by hospital discharge. Clinical examination included brainstem reflexes and motor activity. EEG was assessed for best background continuity, reactivity, presence of epileptiform activity, and burst suppression with identical bursts (BSIB). MRI was examined for presence of diffusion restriction or fluid-attenuated inversion recovery changes consistent with anoxic brain injury. A prediction model was developed using optimal combination of variables. RESULTS Among 78 patients, 11 (14.1%) recovered at discharge and 6 (7.7%) had good outcome (Cerebral Performance Category < 3) at 3 months. Patients who followed commands were more likely to have pupillary and corneal reflexes, flexion or better motor response, EEG continuity and reactivity, no BSIB, and no anoxic injury on MRI. The combined EEG/MRI variable of continuous background and no anoxic changes on MRI was associated with coma recovery at hospital discharge with sensitivity 91% (95% confidence interval [CI], 0.59-1.00), specificity 99% (95% CI, 0.92-1.00), positive predictive value 91% (95% CI, 0.59-1.00), and negative predictive value 99% (95% CI, 0.92-1.00). CONCLUSIONS EEG and MRI are complementary and identify both good and poor outcome in patients with PAM with high accuracy. An MRI should be considered in patients with myoclonus showing continuous or reactive EEGs.
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Affiliation(s)
- Isabelle Beuchat
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Adithya Sivaraju
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Edilberto Amorim
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Emily J Gilmore
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Vincent Dunet
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Andrea O Rossetti
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - M Brandon Westover
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Liangge Hsu
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Benjamin M Scirica
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Danuzia Silva
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Kathleen Tang
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jong Woo Lee
- From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
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Barbella G, Lee JW, Alvarez V, Novy J, Oddo M, Beers L, Rossetti AO. Prediction of regaining consciousness despite an early epileptiform EEG after cardiac arrest. Neurology 2020; 94:e1675-e1683. [DOI: 10.1212/wnl.0000000000009283] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 11/16/2019] [Indexed: 11/15/2022] Open
Abstract
ObjectiveAfter cardiac arrest (CA), epileptiform EEG, occurring in about 1/3 of patients, often but not invariably heralds poor prognosis. We tested the hypothesis that a combination of specific EEG features identifies patients who may regain consciousness despite early epileptiform patterns.MethodsWe retrospectively analyzed a registry of comatose patients post-CA (2 Swiss centers), including those with epileptiform EEG. Background and epileptiform features in EEGs 12–36 hours or 36–72 hours from CA were scored according to the American Clinical Neurophysiology Society nomenclature. Best Cerebral Performance Category (CPC) score within 3 months (CPC 1–3 vs 4–5) was the primary outcome. Significant EEG variables were combined in a score assessed with receiver operating characteristic curves, and independently validated in a US cohort; its correlation with serum neuron-specific enolase (NSE) was also tested.ResultsOf 488 patients, 107 (21.9%) had epileptiform EEG <72 hours; 18 (17%) reached CPC 1–3. EEG 12–36 hours background continuity ≥50%, absence of epileptiform abnormalities (p< 0.00001 each), 12–36 and 36–72 hours reactivity (p< 0.0001 each), 36–72 hours normal background amplitude (p= 0.0004), and stimulus-induced discharges (p= 0.0001) correlated with favorable outcome. The combined 6-point score cutoff ≥2 was 100% sensitive (95% confidence interval [CI], 78%–100%) and 70% specific (95% CI, 59%–80%) for CPC 1–3 (area under the curve [AUC], 0.98; 95% CI, 0.94–1.00). Increasing score correlated with NSE (ρ = −0.46,p= 0.0001). In the validation cohort (41 patients), the score was 100% sensitive (95% CI, 60%–100%) and 88% specific (95% CI, 73%–97%) for CPC 1–3 (AUC, 0.96; 95% CI, 0.91–1.00).ConclusionPrognostic value of early epileptiform EEG after CA can be estimated combining timing, continuity, reactivity, and amplitude features in a score that correlates with neuronal damage.
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Maciel CB, Barden MM, Youn TS, Dhakar MB, Greer DM. Neuroprognostication Practices in Postcardiac Arrest Patients: An International Survey of Critical Care Providers. Crit Care Med 2020; 48:e107-e114. [PMID: 31939809 DOI: 10.1097/ccm.0000000000004107] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To characterize approaches to neurologic outcome prediction by practitioners who assess prognosis in unconscious cardiac arrest individuals, and assess compliance to available guidelines. DESIGN International cross-sectional study. SETTING We administered a web-based survey to members of Neurocritical Care Society, Society of Critical Care Medicine, and American Academy of Neurology who manage unconscious cardiac arrest patients to characterize practitioner demographics and current neuroprognostic practice patterns. SUBJECTS Physicians that are members of aforementioned societies who care for successfully resuscitated cardiac arrest individuals. INTERVENTIONS Not applicable. MEASUREMENTS AND MAIN RESULTS A total of 762 physicians from 22 countries responses were obtained. A significant proportion of respondents used absent corneal reflexes (33.5%) and absent pupillary reflexes (36.2%) at 24 hours, which is earlier than the recommended 72 hours in the standard guidelines. Certain components of the neurologic examination may be overvalued, such as absent motor response or extensor posturing, which 87% of respondents considered being very or critically important prognostic indicators. Respondents continue to rely on myoclonic status epilepticus and neuroimaging, which were favored over median nerve somatosensory evoked potentials for prognostication, although the latter has been demonstrated to have a higher predictive value. Regarding definitive recommendations based on poor neurologic prognosis, most physicians seem to wait until the postarrest timepoints proposed by current guidelines, but up to 25% use premature time windows. CONCLUSIONS Neuroprognostic approaches to hypoxic-ischemic encephalopathy vary among physicians and are often not consistent with current guidelines. The overall inconsistency in approaches and deviation from evidence-based recommendations are concerning in this disease state where mortality is so integrally related to outcome prediction.
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Affiliation(s)
- Carolina B Maciel
- Department of Neurology, Yale University School of Medicine, New Haven, CT
- Department of Neurology, UF-Health Shands Hospital, University of Florida College of Medicine, Gainesville, FL
| | - Mary M Barden
- Department of Neurology, Yale University School of Medicine, New Haven, CT
| | - Teddy S Youn
- Department of Neurology, UF-Health Shands Hospital, University of Florida College of Medicine, Gainesville, FL
| | - Monica B Dhakar
- Department of Neurology, Emory University School of Medicine, Atlanta, GA
| | - David M Greer
- Department of Neurology, Yale University School of Medicine, New Haven, CT
- Department of Neurology, Boston University School of Medicine, Boston, MA
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24
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Agarwal S, Morris N, Der-Nigoghossian C, May T, Brodie D. The Influence of Therapeutics on Prognostication After Cardiac Arrest. Curr Treat Options Neurol 2019; 21:60. [PMID: 31768661 DOI: 10.1007/s11940-019-0602-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
PURPOSE OF REVIEW The goal of this review is to highlight the influence of therapeutic maneuvers on neuro-prognostication measures administered to comatose survivors of cardiac arrest. We focus on the effect of sedation regimens in the setting of targeted temperature management (TTM), one of the principle interventions known to improve neurological recovery after cardiac arrest. Further, we discuss the critical need for novel markers, as well as refinement of existing markers, among patients receiving extracorporeal membrane oxygenation (ECMO) in the setting of failed conventional resuscitation, known as extracorporeal cardiopulmonary resuscitation (ECPR). RECENT FINDINGS Automated pupillometry may have some advantage over standard pupillary examination for prognostication following TTM, sedation, or the use of ECMO after cardiac arrest. New serum biomarkers such as Neurofilament light chain have shown good predictive abilities and need further validation in these populations. There is a high-level uncertainty in brain death declaration protocols particularly related to apnea testing and appropriate ancillary tests in patients receiving ECMO. Both sedation and TTM alone and in combination have been shown to affect prognostic markers to varying degrees. The optimal approach to analog-sedation is unknown, and requires further study. Moreover, validation of known prognostic markers, as well as brain death declaration processes in patients receiving ECMO is warranted. Data on the effects of TTM, sedation, and ECMO on biomarkers (e.g., neuron-specific enolase) and electrophysiology measures (e.g., somatosensory-evoked potentials) is sparse. The best approach may be one customized to the individual patient, a precision-medicine approach.
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Affiliation(s)
- Sachin Agarwal
- Division of Neurocritical Care and Hospitalist Neurology, Department of Neurology, New York-Presbyterian Hospital/Columbia University Irving Medical Center, New York, NY, USA.
| | - Nicholas Morris
- Department of Neurology, Program in Trauma, University of Maryland Medical Center, Baltimore, MD, USA
| | - Caroline Der-Nigoghossian
- Clinical Pharmacy, New York-Presbyterian Hospital/Columbia University Irving Medical Center, New York, NY, USA
| | - Teresa May
- Division of Pulmonary and Critical Care Medicine, Maine Medical Center, Portland, ME, USA
| | - Daniel Brodie
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, New York-Presbyterian Hospital/Columbia University Irving Medical Center, New York, NY, USA
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26
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Assessing brain injury after cardiac arrest, towards a quantitative approach. Curr Opin Crit Care 2019; 25:211-217. [DOI: 10.1097/mcc.0000000000000611] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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28
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Seder DB, Riker RR. Understanding post-cardiac arrest myoclonus. Resuscitation 2018; 131:A3-A4. [PMID: 30086375 DOI: 10.1016/j.resuscitation.2018.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 08/01/2018] [Indexed: 10/28/2022]
Affiliation(s)
- David B Seder
- Maine Medical Center Department of Critical Care Services and Neuroscience Institute, Portland, Maine, United States; Tufts University School of Medicine, Boston, Massachusetts, United States.
| | - Richard R Riker
- Maine Medical Center Department of Critical Care Services and Neuroscience Institute, Portland, Maine, United States; Tufts University School of Medicine, Boston, Massachusetts, United States
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