Aude Sangare1,2,3,4, Clémence Marois5,6, Vincent Perlbarg7, Nadya Pyatigorskaya8, Mélanie Valente9,10,11, Julie Zyss10,11, Alaina Borden10,11, Virginie Lambrecq10,11, Loic Le Guennec5, Jacobo Sitt9, Nicolas Weiss5,6,12, Benjamin Rohaut9,5, Sophie Demeret5, Louis Puybasset13,14, Alexandre Demoule15,16, Lionel Naccache9,10,11. 1. Physiological Investigayions of Clinically Normal and Impaired Cognition Lab, Institut du Cerveau et de la Moelle épinière, Sorbonne Université, Paris, France. aude.sangare@icm-institute.org. 2. Département de Neurophysiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France. aude.sangare@icm-institute.org. 3. Institut de Neurosciences Translationnelles, Paris, France. aude.sangare@icm-institute.org. 4. Brain Institute - ICM, Sorbonne Université, Inserm U1127, CNRS UMR 7225, 47 Boulevard de l'Hôpital, 75013, Paris, France. aude.sangare@icm-institute.org. 5. Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Département de Neurologie, Médecine Intensive et Réanimation à Orientation Neurologique, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France. 6. Groupe de Recherche Clinique en Reanimation et Soins Intensifs du Patient en Insuffisance Respiratoire Aigue Assistance Publique, Sorbonne Université, Paris, France. 7. Braintale (Software As a Service), Paris, France. 8. Département de Neuroradiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France. 9. Physiological Investigayions of Clinically Normal and Impaired Cognition Lab, Institut du Cerveau et de la Moelle épinière, Sorbonne Université, Paris, France. 10. Département de Neurophysiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France. 11. Institut de Neurosciences Translationnelles, Paris, France. 12. Brain Liver Pitié-Salpêtrière Study Group, Centre de Recherche Saint-Antoine, Maladies Métaboliques, Biliaires et Fibro-Inflammatoire du Foie & Institute of Cardiometabolism and Nutrition, Sorbonne Université, Paris, France. 13. Laboratoire d'Imagerie Biomédicale, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Assistance Publique-Hôpitaux de Paris, Départements Médico-Universitaires Diagnostic, Radiologie, Explorations fonctionnelles, Anatomo-pathologie, Médecine nucléaire, Paris, France. 14. Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France. 15. Neurophysiologie Respiratoire Expérimentale et Clinique, Institut National de la Santé et de la Recherche Médicale, Sorbonne Université, Paris, France. 16. Service Médecine Intensive-Réanimation, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France.
Abstract
BACKGROUND: Disorders of consciousness due to severe hypoglycemia are rare but challenging to treat. The aim of this retrospective cohort study was to describe our multimodal neurological assessment of patients with hypoglycemic encephalopathy hospitalized in the intensive care unit and their neurological outcomes. METHODS: Consecutive patients with disorders of consciousness related to hypoglycemia admitted for neuroprognostication from 2010 to 2020 were included. Multimodal neurological assessment included electroencephalography, somatosensory and cognitive event-related potentials, and morphological and quantitative magnetic resonance imaging (MRI) with quantification of fractional anisotropy. Neurological outcomes at 28 days, 3 months, 6 months, 1 year, and 2 years after hypoglycemia were retrieved. RESULTS: Twenty patients were included. After 2 years, 75% of patients had died, 5% remained in a permanent vegetative state, 10% were in a minimally conscious state, and 10% were conscious but with severe disabilities (Glasgow Outcome Scale-Extended scores 3 and 4). All patients showed pathologic electroencephalography findings with heterogenous patterns. Morphological brain MRI revealed abnormalities in 95% of patients, with various localizations including cortical atrophy in 65% of patients. When performed, quantitative MRI showed decreased fractional anisotropy affecting widespread white matter tracts in all patients. CONCLUSIONS: The overall prognosis of patients with severe hypoglycemic encephalopathy was poor, with only a small fraction of patients who slowly improved after intensive care unit discharge. Of note, patients who did not improve during the first 6 months did not recover consciousness. This study suggests that a multimodal approach capitalizing on advanced brain imaging and bedside electrophysiology techniques could improve diagnostic and prognostic performance in severe hypoglycemic encephalopathy.
BACKGROUND: Disorders of consciousness due to severe hypoglycemia are rare but challenging to treat. The aim of this retrospective cohort study was to describe our multimodal neurological assessment of patients with hypoglycemic encephalopathy hospitalized in the intensive care unit and their neurological outcomes. METHODS: Consecutive patients with disorders of consciousness related to hypoglycemia admitted for neuroprognostication from 2010 to 2020 were included. Multimodal neurological assessment included electroencephalography, somatosensory and cognitive event-related potentials, and morphological and quantitative magnetic resonance imaging (MRI) with quantification of fractional anisotropy. Neurological outcomes at 28 days, 3 months, 6 months, 1 year, and 2 years after hypoglycemia were retrieved. RESULTS: Twenty patients were included. After 2 years, 75% of patients had died, 5% remained in a permanent vegetative state, 10% were in a minimally conscious state, and 10% were conscious but with severe disabilities (Glasgow Outcome Scale-Extended scores 3 and 4). All patients showed pathologic electroencephalography findings with heterogenous patterns. Morphological brain MRI revealed abnormalities in 95% of patients, with various localizations including cortical atrophy in 65% of patients. When performed, quantitative MRI showed decreased fractional anisotropy affecting widespread white matter tracts in all patients. CONCLUSIONS: The overall prognosis of patients with severe hypoglycemic encephalopathy was poor, with only a small fraction of patients who slowly improved after intensive care unit discharge. Of note, patients who did not improve during the first 6 months did not recover consciousness. This study suggests that a multimodal approach capitalizing on advanced brain imaging and bedside electrophysiology techniques could improve diagnostic and prognostic performance in severe hypoglycemic encephalopathy.
Keywords:
Clinical outcome; Disorder of consciousness; Electroencephalography; Hypoglycemic encephalopathy; Intensive care unit; Magnetic resonance imaging
Authors: D Kondziella; A Bender; K Diserens; W van Erp; A Estraneo; R Formisano; S Laureys; L Naccache; S Ozturk; B Rohaut; J D Sitt; J Stender; M Tiainen; A O Rossetti; O Gosseries; C Chatelle Journal: Eur J Neurol Date: 2020-02-23 Impact factor: 6.089
Authors: Jan Claassen; Yama Akbari; Sheila Alexander; Mary Kay Bader; Kathleen Bell; Thomas P Bleck; Melanie Boly; Jeremy Brown; Sherry H-Y Chou; Michael N Diringer; Brian L Edlow; Brandon Foreman; Joseph T Giacino; Olivia Gosseries; Theresa Green; David M Greer; Daniel F Hanley; Jed A Hartings; Raimund Helbok; J Claude Hemphill; H E Hinson; Karen Hirsch; Theresa Human; Michael L James; Nerissa Ko; Daniel Kondziella; Sarah Livesay; Lori K Madden; Shraddha Mainali; Stephan A Mayer; Victoria McCredie; Molly M McNett; Geert Meyfroidt; Martin M Monti; Susanne Muehlschlegel; Santosh Murthy; Paul Nyquist; DaiWai M Olson; J Javier Provencio; Eric Rosenthal; Gisele Sampaio Silva; Simone Sarasso; Nicholas D Schiff; Tarek Sharshar; Lori Shutter; Robert D Stevens; Paul Vespa; Walter Videtta; Amy Wagner; Wendy Ziai; John Whyte; Elizabeth Zink; Jose I Suarez Journal: Neurocrit Care Date: 2021-07-08 Impact factor: 3.210