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Amiri M, Raimondo F, Fisher PM, Cacic Hribljan M, Sidaros A, Othman MH, Zibrandtsen I, Bergdal O, Fabritius ML, Hansen AE, Hassager C, Højgaard JLS, Jensen HR, Knudsen NV, Laursen EL, Møller JE, Nersesjan V, Nicolic M, Sigurdsson ST, Sitt JD, Sølling C, Welling KL, Willumsen LM, Hauerberg J, Larsen VA, Fabricius ME, Knudsen GM, Kjærgaard J, Møller K, Kondziella D. Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness. Neurocrit Care 2024; 40:718-733. [PMID: 37697124 PMCID: PMC10959792 DOI: 10.1007/s12028-023-01816-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/21/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND In intensive care unit (ICU) patients with coma and other disorders of consciousness (DoC), outcome prediction is key to decision-making regarding prognostication, neurorehabilitation, and management of family expectations. Current prediction algorithms are largely based on chronic DoC, whereas multimodal data from acute DoC are scarce. Therefore, the Consciousness in Neurocritical Care Cohort Study Using Electroencephalography and Functional Magnetic Resonance Imaging (i.e. CONNECT-ME; ClinicalTrials.gov identifier: NCT02644265) investigates ICU patients with acute DoC due to traumatic and nontraumatic brain injuries, using electroencephalography (EEG) (resting-state and passive paradigms), functional magnetic resonance imaging (fMRI) (resting-state) and systematic clinical examinations. METHODS We previously presented results for a subset of patients (n = 87) concerning prediction of consciousness levels in the ICU. Now we report 3- and 12-month outcomes in an extended cohort (n = 123). Favorable outcome was defined as a modified Rankin Scale score ≤ 3, a cerebral performance category score ≤ 2, and a Glasgow Outcome Scale Extended score ≥ 4. EEG features included visual grading, automated spectral categorization, and support vector machine consciousness classifier. fMRI features included functional connectivity measures from six resting-state networks. Random forest and support vector machine were applied to EEG and fMRI features to predict outcomes. Here, random forest results are presented as areas under the curve (AUC) of receiver operating characteristic curves or accuracy. Cox proportional regression with in-hospital death as a competing risk was used to assess independent clinical predictors of time to favorable outcome. RESULTS Between April 2016 and July 2021, we enrolled 123 patients (mean age 51 years, 42% women). Of 82 (66%) ICU survivors, 3- and 12-month outcomes were available for 79 (96%) and 77 (94%), respectively. EEG features predicted both 3-month (AUC 0.79 [95% confidence interval (CI) 0.77-0.82]) and 12-month (AUC 0.74 [95% CI 0.71-0.77]) outcomes. fMRI features appeared to predict 3-month outcome (accuracy 0.69-0.78) both alone and when combined with some EEG features (accuracies 0.73-0.84) but not 12-month outcome (larger sample sizes needed). Independent clinical predictors of time to favorable outcome were younger age (hazard ratio [HR] 1.04 [95% CI 1.02-1.06]), traumatic brain injury (HR 1.94 [95% CI 1.04-3.61]), command-following abilities at admission (HR 2.70 [95% CI 1.40-5.23]), initial brain imaging without severe pathological findings (HR 2.42 [95% CI 1.12-5.22]), improving consciousness in the ICU (HR 5.76 [95% CI 2.41-15.51]), and favorable visual-graded EEG (HR 2.47 [95% CI 1.46-4.19]). CONCLUSIONS Our results indicate that EEG and fMRI features and readily available clinical data predict short-term outcome of patients with acute DoC and that EEG also predicts 12-month outcome after ICU discharge.
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Affiliation(s)
- Moshgan Amiri
- Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Federico Raimondo
- Brain and Behaviour, Institute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Patrick M Fisher
- Neurobiology Research Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Melita Cacic Hribljan
- Department of Neurophysiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Annette Sidaros
- Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
- Department of Neurophysiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Marwan H Othman
- Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Ivan Zibrandtsen
- Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
- Department of Neurophysiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Ove Bergdal
- Department of Neurosurgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Maria Louise Fabritius
- Department of Neuroanaesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Adam Espe Hansen
- Department of Radiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christian Hassager
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Joan Lilja S Højgaard
- Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Helene Ravnholt Jensen
- Department of Neuroanaesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Niels Vendelbo Knudsen
- Department of Neuroanaesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Emilie Lund Laursen
- Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Jacob E Møller
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Vardan Nersesjan
- Biological and Precision Psychiatry, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen, Denmark
| | - Miki Nicolic
- Department of Neurophysiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Sigurdur Thor Sigurdsson
- Department of Neuroanaesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Jacobo D Sitt
- Institut du Cerveau - Paris Brain Institute, Inserm, Centre nationl de la recherche scientifique, Assistance Publique - Hôpitaux de Paris, Sorbonne Université, Hôpital de La Pitié Salpêtrière, Paris, France
| | - Christine Sølling
- Department of Neuroanaesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Karen Lise Welling
- Department of Neuroanaesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Lisette M Willumsen
- Department of Neurosurgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - John Hauerberg
- Department of Neurosurgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Vibeke Andrée Larsen
- Department of Radiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Martin Ejler Fabricius
- Department of Neurophysiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Gitte Moos Knudsen
- Neurobiology Research Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Kjærgaard
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Kirsten Møller
- Department of Neuroanaesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Daniel Kondziella
- Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
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2
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Amiri M, Fisher PM, Raimondo F, Sidaros A, Cacic Hribljan M, Othman MH, Zibrandtsen I, Albrechtsen SS, Bergdal O, Hansen AE, Hassager C, Højgaard JLS, Jakobsen EW, Jensen HR, Møller J, Nersesjan V, Nikolic M, Olsen MH, Sigurdsson ST, Sitt JD, Sølling C, Welling KL, Willumsen LM, Hauerberg J, Larsen VA, Fabricius M, Knudsen GM, Kjaergaard J, Møller K, Kondziella D. Multimodal prediction of residual consciousness in the intensive care unit: the CONNECT-ME study. Brain 2022; 146:50-64. [PMID: 36097353 PMCID: PMC9825454 DOI: 10.1093/brain/awac335] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 07/25/2022] [Accepted: 08/14/2022] [Indexed: 01/15/2023] Open
Abstract
Functional MRI (fMRI) and EEG may reveal residual consciousness in patients with disorders of consciousness (DoC), as reflected by a rapidly expanding literature on chronic DoC. However, acute DoC is rarely investigated, although identifying residual consciousness is key to clinical decision-making in the intensive care unit (ICU). Therefore, the objective of the prospective, observational, tertiary centre cohort, diagnostic phase IIb study 'Consciousness in neurocritical care cohort study using EEG and fMRI' (CONNECT-ME, NCT02644265) was to assess the accuracy of fMRI and EEG to identify residual consciousness in acute DoC in the ICU. Between April 2016 and November 2020, 87 acute DoC patients with traumatic or non-traumatic brain injury were examined with repeated clinical assessments, fMRI and EEG. Resting-state EEG and EEG with external stimulations were evaluated by visual analysis, spectral band analysis and a Support Vector Machine (SVM) consciousness classifier. In addition, within- and between-network resting-state connectivity for canonical resting-state fMRI networks was assessed. Next, we used EEG and fMRI data at study enrolment in two different machine-learning algorithms (Random Forest and SVM with a linear kernel) to distinguish patients in a minimally conscious state or better (≥MCS) from those in coma or unresponsive wakefulness state (≤UWS) at time of study enrolment and at ICU discharge (or before death). Prediction performances were assessed with area under the curve (AUC). Of 87 DoC patients (mean age, 50.0 ± 18 years, 43% female), 51 (59%) were ≤UWS and 36 (41%) were ≥ MCS at study enrolment. Thirty-one (36%) patients died in the ICU, including 28 who had life-sustaining therapy withdrawn. EEG and fMRI predicted consciousness levels at study enrolment and ICU discharge, with maximum AUCs of 0.79 (95% CI 0.77-0.80) and 0.71 (95% CI 0.77-0.80), respectively. Models based on combined EEG and fMRI features predicted consciousness levels at study enrolment and ICU discharge with maximum AUCs of 0.78 (95% CI 0.71-0.86) and 0.83 (95% CI 0.75-0.89), respectively, with improved positive predictive value and sensitivity. Overall, both machine-learning algorithms (SVM and Random Forest) performed equally well. In conclusion, we suggest that acute DoC prediction models in the ICU be based on a combination of fMRI and EEG features, regardless of the machine-learning algorithm used.
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Affiliation(s)
| | | | | | - Annette Sidaros
- Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark,Department of Neurophysiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Melita Cacic Hribljan
- Department of Neurophysiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Marwan H Othman
- Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Ivan Zibrandtsen
- Department of Neurophysiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Simon S Albrechtsen
- Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Ove Bergdal
- Department of Neurosurgery, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Adam Espe Hansen
- Department of Radiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christian Hassager
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark,Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Joan Lilja S Højgaard
- Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Helene Ravnholt Jensen
- Department of Neuroanaesthesiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Jacob Møller
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Vardan Nersesjan
- Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark,Biological and Precision Psychiatry, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen, Denmark
| | - Miki Nikolic
- Department of Neurophysiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Markus Harboe Olsen
- Department of Neuroanaesthesiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Sigurdur Thor Sigurdsson
- Department of Neuroanaesthesiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Jacobo D Sitt
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Christine Sølling
- Department of Neuroanaesthesiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Karen Lise Welling
- Department of Neuroanaesthesiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Lisette M Willumsen
- Department of Neurosurgery, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - John Hauerberg
- Department of Neurosurgery, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Vibeke Andrée Larsen
- Department of Radiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Martin Fabricius
- Department of Neurophysiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Gitte Moos Knudsen
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Kjaergaard
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark,Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Kirsten Møller
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark,Department of Neuroanaesthesiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Daniel Kondziella
- Correspondence to: Daniel Kondziella, MD, MSc, PhD FEBN Department of Neurology Copenhagen University Hospital, Rigshospitalet Blegdamsvej 9, DK-2100 Copenhagen E-mail:
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Sidaros A, Boxill MF, Christensen J, Hoei-Hansen CE, Beier CP. [Treatment of status epilepticus in children and adults]. Ugeskr Laeger 2022; 184:V02220079. [PMID: 35786229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
This review finds that, in children and adults with epilepsy, there are several treatment options. Multiple antiseizure medications are available and in case of drug-resistant epilepsy, a non-pharmacological approach is recommended, including epilepsy surgery, vagus nerve stimulation, or ketogenic diet treatment. The aim of the treatment is to avoid further seizures, but also to avoid negative cognitive, psychological, and social consequences of epilepsy.
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Affiliation(s)
- Annette Sidaros
- Afdeling for Hjerne- og Nervesygdomme, Københavns Universitetshospital - Rigshospitalet
- Afdeling for Hjerne- og Nerveundersøgelser, Københavns Universitetshospital - Rigshospitalet
| | | | - Jakob Christensen
- Neurologisk Afdeling, Aarhus Universitetshospital
- Institut for Klinisk Medicin, Health, Aarhus Universitet
- Center for Registerforskning, Department of Economics and Business Economics, Aarhus BSS, Aarhus Universitet
| | - Christina Engel Hoei-Hansen
- Afdeling for Børn og Unge, Københavns Universitetshospital - Rigshospitalet
- Institut for Klinisk Medicin, Sundhedsvidenskabeligt Fakultet, Københavns Universitet
| | - Christoph Patrick Beier
- Neurologisk Afdeling, Odense Universitetshospital
- Klinisk Institut, Det Sundhedsvidenskabelige Fakultet, Syddansk Universitet
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4
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Ásbjörnsdóttir B, Henriksen OM, Lindquist S, Møller LB, Sidaros A, Nielsen JE. Widening the spectrum of spinocerebellar ataxia autosomal recessive type 10 (SCAR10). BMJ Case Rep 2022; 15:e248228. [PMID: 35256372 PMCID: PMC8905945 DOI: 10.1136/bcr-2021-248228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/09/2022] [Indexed: 11/04/2022] Open
Abstract
Biallelic pathogenic variants in the ANO10 gene cause spinocerebellar ataxia recessive type 10. We report two patients, both compound heterozygous for ANO10 variants, including two novel variants. Both patients had onset of cerebellar ataxia in adulthood with slow progression and presented corticospinal tract signs, eye movement abnormalities and cognitive executive impairment. One of them had temporal lobe epilepsy and she also carried a heterozygous variant in CACNB4, a potential risk gene for epilepsy. Both patients had pronounced cerebellar atrophy on cerebral magnetic resonance imaging (MRI) and reduced metabolic activity in cerebellum as well as in the frontal lobes on 2-deoxy-2-(18F)fluoro-D-glucose positron emission tomography ((18F)FDG PET) scans. We provide comprehensive clinical, radiological and genetic data on two patients carrying likely pathogenic ANO10 gene variants. Furthermore, we provide evidence for a cerebellar as well as a frontal involvement on brain (18F)FDG PET scans which has not previously been reported.
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Affiliation(s)
- Birna Ásbjörnsdóttir
- Neurogenetics Clinic & Research Lab, Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Otto Mølby Henriksen
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Suzanne Lindquist
- Neurogenetics Clinic & Research Lab, Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Genetics, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lisbeth Birk Møller
- Department of Genetics, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Annette Sidaros
- Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Neurophysiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jørgen Erik Nielsen
- Neurogenetics Clinic & Research Lab, Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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5
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Holm‐Yildiz S, Richter Hansen J, Thonon V, Beniczky S, Fabricius M, Sidaros A, Kondziella D. Does continuous electroencephalography influence therapeutic decisions in neurocritical care? Acta Neurol Scand 2021; 143:290-297. [PMID: 33091148 DOI: 10.1111/ane.13364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 03/23/2020] [Accepted: 10/06/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES In the neurocritical care unit (neuro-ICU), the impact of continuous EEG (cEEG) on therapeutic decisions and prognostication, including outcome prediction using the Status Epilepticus Severity Score (STESS), is poorly investigated. We studied to what extent cEEG contributes to treatment decisions, and how this relates to clinical outcome and the use of STESS in neurocritical care. METHODS We included patients admitted to the neuro-ICU or neurological step-down unit of a tertiary referral hospital between 05/2013 and 06/2015. Inclusion criteria were ≥20 h of cEEG monitoring and age ≥15 years. Exclusion criteria were primary epileptic and post-cardiac arrest encephalopathies. RESULTS Ninety-eight patients met inclusion criteria, 80 of which had status epilepticus, including 14 with super-refractory status. Median length of cEEG monitoring was 50 h (range 21-374 h). Mean STESS was lower in patients with favorable outcome 1 year after discharge (modified Rankin Scale [mRS] 0-2) compared to patients with unfavorable outcome (mRS 3-6), albeit not statistically significant (mean STESS 2.3 ± 2.1 vs 3.6 ± 1.7, p = 0.09). STESS had a sensitivity of 80%, a specificity of 42%, and a negative predictive value of 93% for outcome. cEEG results changed treatment decisions in 76 patients, including escalation of antiepileptic treatment in 65 and reduction in 11 patients. CONCLUSION Status Epilepticus Severity Score had a high negative predictive value but low sensitivity, suggesting that STESS should be used cautiously. Of note, cEEG results altered clinical decision-making in three of four patients, irrespective of the presence or absence of status epilepticus, confirming the clinical value of cEEG in neurocritical care.
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Affiliation(s)
- Sonja Holm‐Yildiz
- Department of Neurology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
| | - Julie Richter Hansen
- Department of Neurology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
| | - Vanessa Thonon
- Department of Clinical Neurophysiology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
- Department of Clinical Neurophysiology Vall d'Hebron University Hospital Barcelona Spain
| | - Sándor Beniczky
- Department of Clinical Neurophysiology Danish Epilepsy Centre Dianalund Denmark
- Aarhus University Hospital Aarhus Denmark
| | - Martin Fabricius
- Department of Clinical Neurophysiology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
| | - Annette Sidaros
- Department of Neurology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
- Department of Clinical Neurophysiology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
| | - Daniel Kondziella
- Department of Neurology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
- Faculty of Health and Medical Science Copenhagen University Copenhagen Denmark
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6
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Skibsted AP, Amiri M, Fisher PM, Sidaros A, Hribljan MC, Larsen VA, Højgaard JLS, Nikolic M, Hauerberg J, Fabricius ME, Knudsen GM, Møller K, Kondziella D. Consciousness in Neurocritical Care Cohort Study Using fMRI and EEG (CONNECT-ME): Protocol for a Longitudinal Prospective Study and a Tertiary Clinical Care Service. Front Neurol 2018; 9:1012. [PMID: 30542319 PMCID: PMC6278242 DOI: 10.3389/fneur.2018.01012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 11/09/2018] [Indexed: 01/06/2023] Open
Abstract
Aims and Objectives: To facilitate individualized assessment of unresponsive patients in the intensive care unit for signs of preserved consciousness after acute brain injury. Background: Physicians and neuroscientists are increasingly recognizing a disturbing dilemma: Brain-injured patients who appear entirely unresponsive at the bedside may show signs of covert consciousness when examined by functional MRI (fMRI) or electroencephalography (EEG). According to a recent meta-analysis, roughly 15% of behaviorally unresponsive brain-injured patients can participate in mental tasks by modifying their brain activity during EEG- or fMRI-based paradigms, suggesting that they are conscious and misdiagnosed. This has major ethical and practical implications, including prognosis, treatment, resource allocation, and end-of-life decisions. However, EEG- or fMRI-based paradigms have so far typically been tested in chronic brain injury. Hence, as a novel approach, CONNECT-ME will import the full range of consciousness paradigms into neurocritical care. Methods: We will assess intensive care patients with acute brain injury for preserved consciousness by serial and multimodal evaluation using active, passive and resting state fMRI and EEG paradigms, as well as state-of-the-art clinical techniques including pupillometry and sophisticated clinical rating scales such as the Coma Recovery Scale-Revised. In addition, we are establishing a biobank (blood, cerebrospinal fluid and brain tissue, where available) to facilitate future genomic and microbiomic research to search for signatures of consciousness recovery. Discussion: We anticipate that this multimodal approach will add vital clinical information, including detection of preserved consciousness in patients previously thought of as unconscious, and improved (i.e., personalized) prognostication of individual patients. Our aim is two-fold: We wish to establish a cutting-edge tertiary care clinical service for unresponsive patients in the intensive care unit and lay the foundation for a fruitful multidisciplinary research environment for the study of consciousness in acute brain injury. Of note, CONNECT-ME will not only enhance our understanding of consciousness disorders in acute brain injury but it will also raise awareness for these patients who, for obvious reasons, have lacked a voice so far. Trial registration: The study is registered with clinicaltrials.org (ClinicalTrials.gov Identifier: NCT02644265).
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Affiliation(s)
- Anine P Skibsted
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital and Center for Integrated Molecular Brain Imaging, Copenhagen, Denmark
| | - Moshgan Amiri
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Patrick M Fisher
- Neurobiology Research Unit, Copenhagen University Hospital and Center for Integrated Molecular Brain Imaging, Copenhagen, Denmark
| | - Annette Sidaros
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Melita Cacic Hribljan
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Vibeke Andrée Larsen
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Joan Lilja S Højgaard
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Miki Nikolic
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - John Hauerberg
- Department of Neurosurgery, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Martin E Fabricius
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Gitte Moos Knudsen
- Neurobiology Research Unit, Copenhagen University Hospital and Center for Integrated Molecular Brain Imaging, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kirsten Møller
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Neuroanaesthesiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Laursen E, Sidaros A, Hojgaard J, Krarup LH. Opsoclonus-myoclonus syndrome — /INS;A case report. J Neurol Sci 2013. [DOI: 10.1016/j.jns.2013.07.2360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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8
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Sidaros A, Skimminge A, Liptrot MG, Sidaros K, Engberg AW, Herning M, Paulson OB, Jernigan TL, Rostrup E. Long-term global and regional brain volume changes following severe traumatic brain injury: a longitudinal study with clinical correlates. Neuroimage 2008; 44:1-8. [PMID: 18804539 DOI: 10.1016/j.neuroimage.2008.08.030] [Citation(s) in RCA: 162] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2008] [Revised: 08/15/2008] [Accepted: 08/18/2008] [Indexed: 10/21/2022] Open
Abstract
Traumatic brain injury (TBI) results in neurodegenerative changes that progress for months, perhaps even years post-injury. However, there is little information on the spatial distribution and the clinical significance of this late atrophy. In 24 patients who had sustained severe TBI we acquired 3D T1-weighted MRIs about 8 weeks and 12 months post-injury. For comparison, 14 healthy controls with similar distribution of age, gender and education were scanned with a similar time interval. For each subject, longitudinal atrophy was estimated using SIENA, and atrophy occurring before the first scan time point using SIENAX. Regional distribution of atrophy was evaluated using tensor-based morphometry (TBM). At the first scan time point, brain parenchymal volume was reduced by mean 8.4% in patients as compared to controls. During the scan interval, patients exhibited continued atrophy with percent brain volume change (%BVC) ranging between -0.6% and -9.4% (mean -4.0%). %BVC correlated significantly with injury severity, functional status at both scans, and with 1-year outcome. Moreover, %BVC improved prediction of long-term functional status over and above what could be predicted using functional status at approximately 8 weeks. In patients as compared to controls, TBM (permutation test, FDR 0.05) revealed a large coherent cluster of significant atrophy in the brain stem and cerebellar peduncles extending bilaterally through the thalamus, internal and external capsules, putamen, inferior and superior longitudinal fasciculus, corpus callosum and corona radiata. This indicates that the long-term atrophy is attributable to consequences of traumatic axonal injury. Despite progressive atrophy, remarkable clinical improvement occurred in most patients.
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Affiliation(s)
- Annette Sidaros
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital, Hvidovre, Denmark.
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Sidaros A, Engberg AW, Sidaros K, Liptrot MG, Herning M, Petersen P, Paulson OB, Jernigan TL, Rostrup E. Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study. Brain 2008; 131:559-72. [DOI: 10.1093/brain/awm294] [Citation(s) in RCA: 417] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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Sidaros A, Herning M. [Magnetic resonance imaging in severe traumatic brain injury]. Ugeskr Laeger 2007; 169:214-6. [PMID: 17234096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Modern neuroimaging techniques are continuously improving the diagnostic and prognostic assessment of patients with traumatic brain injury. The rapid developments within the field of magnetic resonance imaging (MRI) in particular provide several complementary tools for evaluating structural and functional changes in the injured brain. This article summarizes the current clinical use and future potential of the main structural and functional MRI techniques in the evaluation of severe non-missile head injury in the subacute phase.
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