3 results on '"David Varlan"'
Search Results
2. Neurologic manifestations associated with COVID-19: a multicentre registry
- Author
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Elodie Meppiel, Nathan Peiffer-Smadja, Alexandra Maury, Imen Bekri, Cécile Delorme, Virginie Desestret, Lucas Gorza, Geoffroy Hautecloque-Raysz, Sophie Landre, Annie Lannuzel, Solène Moulin, Peggy Perrin, Paul Petitgas, François SellaI, Adrien Wang, Pierre Tattevin, Thomas de Broucker, Sophie Abgrall, Fanny Alby-Laurent, Thibault Allou, Joséphine Amevigbe, Hanifa Amarguellay, Nabil Alloussi, Guillaume Baille, Mathilde Barbaz, Lamia Bencherif, Samia Bensaadi, Guillaume Beraud, Alexandra Bizot, Laure Bottin, Fabrice Bruneel, Jean-Philippe Camdessanche, Jeanne Chauffier, Jean-Philippe Csajaghy, Chloé De Broucker, Thomas De Broucker, Luc Defebvre, Elodie Dembloque, Nathalie Derache, Olivier Dereeper, Céline Derollez, Cécile Descotes-Genon, Mathilde Devaux, Lydie Dubuc, Gilles Edan, Andréa Fickl, Thibault Fraisse, Michel Gugenheim, Karolina Hankiewicz, Yves Hansmann, Carole Henry, Stéphanie Jobard, Fanny Jouan, Arnaud Kwiatkowski, Thibault Lalu, Johan Leguilloux, Camille Lejeune, Clémence Liegeois, Sophie Mahy, Jonathan Marey, Laure Michel, Rita Mitri, Chloé Moulin, Asma Omarjee, Canan Ozsancak, Fernando Pico, Marie Poupard, Valérie Rabier, Camille Rizzato, Caroline Roos, Julien Saison, Naomi Sayre, Nicolas Sedillot, François Sellal, Jérôme Servan, Caroline Storey, Laurent Suchet, Paul Tarteret, Mathilde Thiebaut, Claudia Vaduva, David Varlan, Virginie Zarrouk, Centre Hospitalier de Saint-Denis [Ile-de-France], Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Centre Hospitalier de Versailles André Mignot (CHV), CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hospices Civils de Lyon (HCL), Hôpital Foch [Suresnes], Hôpitaux Civils de Colmar, Centre d'Investigation Clinique Antilles-Guyane (CIC - Antilles Guyane), CHU de Fort de France-Centre Hospitalier Andrée Rosemon [Cayenne, Guyane Française]-CHU Pointe-à-Pitre/Abymes [Guadeloupe] -Institut National de la Santé et de la Recherche Médicale (INSERM)-Université des Antilles et de la Guyane (UAG), Centre Hospitalier Universitaire de Reims (CHU Reims), Les Hôpitaux Universitaires de Strasbourg (HUS), CHU Pontchaillou [Rennes], Service de Neurologie [Hôpitaux Civils de Colmar], Hôpitaux Civils Colmar, Jonchère, Laurent, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Université des Antilles et de la Guyane (UAG)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pointe-à-Pitre/Abymes [Guadeloupe] -CHU de Fort de France-Centre Hospitalier Andrée Rosemon [Cayenne, Guyane Française]
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Male ,0301 basic medicine ,Microbiology (medical) ,Registry ,medicine.medical_specialty ,[SDV]Life Sciences [q-bio] ,030106 microbiology ,Encephalopathy ,Nervous System ,03 medical and health sciences ,0302 clinical medicine ,Interquartile range ,Internal medicine ,medicine ,Humans ,Registries ,030212 general & internal medicine ,Pleocytosis ,Aged ,Retrospective Studies ,medicine.diagnostic_test ,SARS-CoV-2 ,business.industry ,Mortality rate ,Brain ,COVID-19 ,Retrospective cohort study ,Magnetic resonance imaging ,General Medicine ,Neurologic manifestations ,Middle Aged ,medicine.disease ,Thrombosis ,3. Good health ,[SDV] Life Sciences [q-bio] ,Infectious Diseases ,Neurological manifestations ,Female ,Original Article ,France ,Nervous System Diseases ,business ,Encephalitis - Abstract
International audience; OBJECTIVES: To provide an overview of the spectrum, characteristics and outcomes of neurologic manifestations associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS: We conducted a single-centre retrospective study during the French coronavirus disease 2019 (COVID-19) epidemic in March-April 2020. All COVID-19 patients with de novo neurologic manifestations were eligible. RESULTS: We included 222 COVID-19 patients with neurologic manifestations from 46 centres in France. Median (interquartile range, IQR) age was 65 (53-72) years and 136 patients (61.3%) were male. COVID-19 was severe or critical in 102 patients (45.2%). The most common neurologic diseases were COVID-19-associated encephalopathy (67/222, 30.2%), acute ischaemic cerebrovascular syndrome (57/222, 25.7%), encephalitis (21/222, 9.5%) and Guillain-Barré syndrome (15/222, 6.8%). Neurologic manifestations appeared after the first COVID-19 symptoms with a median (IQR) delay of 6 (3-8) days in COVID-19-associated encephalopathy, 7 (5-10) days in encephalitis, 12 (7-18) days in acute ischaemic cerebrovascular syndrome and 18 (15-28) days in Guillain-Barré syndrome. Brain imaging was performed in 192 patients (86.5%), including 157 magnetic resonance imaging (70.7%). Among patients with acute ischaemic cerebrovascular syndrome, 13 (22.8%) of 57 had multiterritory ischaemic strokes, with large vessel thrombosis in 16 (28.1%) of 57. Brain magnetic resonance imaging of encephalitis patients showed heterogeneous acute nonvascular lesions in 14 (66.7%) of 21. Cerebrospinal fluid of 97 patients (43.7%) was analysed, with pleocytosis found in 18 patients (18.6%) and a positive SARS-CoV-2 PCR result in two patients with encephalitis. The median (IQR) follow-up was 24 (17-34) days with a high short-term mortality rate (28/222, 12.6%). CONCLUSIONS: Clinical spectrum and outcomes of neurologic manifestations associated with SARS-CoV-2 infection were broad and heterogeneous, suggesting different underlying pathogenic processes.
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- 2021
3. Clinical Outcome of Acute Ischemic Strokes in Patients with COVID-19
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Michael Obadia, Thomas De Broucker, Mikael Mazighi, David Varlan, Aïcha Lyoubi, Julie Calmettes, Bruno Gonçalves, Guillaume Turc, E. Meppiel, Roxane Peres, and Clotilde Nardin
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Male ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Acute ischemic stroke ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Diabetes Mellitus ,medicine ,Humans ,In patient ,Hospital Mortality ,Obesity ,Clinical Research in Stroke ,Aged ,Ischemic Stroke ,Retrospective Studies ,Outcome ,Aged, 80 and over ,SARS-CoV-2 ,business.industry ,Medical record ,Mortality rate ,Case-control study ,COVID-19 ,Retrospective cohort study ,Middle Aged ,Prognosis ,medicine.disease ,Functional Status ,Neurology ,Case-Control Studies ,Female ,Observational study ,France ,Neurology (clinical) ,Cardiology and Cardiovascular Medicine ,business ,030217 neurology & neurosurgery - Abstract
Introduction: Acute ischemic stroke (AIS) and thrombotic events (TEs) were reported in patients with COVID-19. Clinical outcome of AIS in the course of COVID-19 remains unknown. We compared early clinical outcome and mortality of COVID-positive (+) patients admitted for AIS with COVID-negative (−) ones. We hypothesized that COVID+ patients would have poorer clinical outcomes and present a higher rate of TEs and mortality compared with COVID− ones. Methods: In this multicentric observational retrospective study, we enrolled patients over 18 years old admitted for AIS in 3 stroke units of the Parisian region during lockdown from March 17, 2020, to May 2, 2020. COVID-19 status as well as demographic, clinical, biological, and imaging data was collected retrospectively from medical records. Poor outcome was defined as modified Rankin score (mRS) 3–6 (3–6) at discharge. We also compared TE frequency and mortality rate through a composite criterion in both groups. Results: Two hundred and sixteen patients were enrolled; mean age was 68 years old, and 63% were male. Forty patients were COVID+ (18.5%) and 176 were COVID−. Obesity was statistically more frequent in the COVID+ group (36 vs. 13% p < 0.01). The percentage of patients with mRS (3–6) at discharge was higher in the COVID+ group compared with the COVID− group (60 vs. 41%, p = 0.034). The main predictor of presenting a mRS (3–6) at discharge was high NIHSS score at admission (OR, CI 95%: 1.325, 1.22–1.43). Mortality rate was higher in the COVID+ group (12 vs. 3.4%, p = 0.033) as well as TE frequency (15 vs. 2.8%, p < 0.01). Conclusion: In this study, patients with AIS infected by SARS-CoV-2 showed a poorer early outcome than COVID− ones. However, when compared to other factors, COVID-19 was not a significant predictor of poor outcome. Vascular morbidity and mortality rates were significantly higher in the COVID+ group compared with the COVID− group.
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- 2021
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