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John NA, Solanky BS, De Angelis F, Parker RA, Weir CJ, Stutters J, Carrasco FP, Schneider T, Doshi A, Calvi A, Williams T, Plantone D, Monteverdi A, MacManus D, Marshall I, Barkhof F, Gandini Wheeler-Kingshott CAM, Chataway J. Longitudinal Metabolite Changes in Progressive Multiple Sclerosis: A Study of 3 Potential Neuroprotective Treatments. J Magn Reson Imaging 2024; 59:2192-2201. [PMID: 37787109 DOI: 10.1002/jmri.29017] [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: 05/29/2023] [Revised: 09/01/2023] [Accepted: 09/01/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND 1H-magnetic resonance spectroscopy (1H-MRS) may provide a direct index for the testing of medicines for neuroprotection and drug mechanisms in multiple sclerosis (MS) through measures of total N-acetyl-aspartate (tNAA), total creatine (tCr), myo-inositol (mIns), total-choline (tCho), and glutamate + glutamine (Glx). Neurometabolites may be associated with clinical disability with evidence that baseline neuroaxonal integrity is associated with upper limb function and processing speed in secondary progressive MS (SPMS). PURPOSE To assess the effect on neurometabolites from three candidate drugs after 96-weeks as seen by 1H-MRS and their association with clinical disability in SPMS. STUDY-TYPE Longitudinal. POPULATION 108 participants with SPMS randomized to receive neuroprotective drugs amiloride [mean age 55.4 (SD 7.4), 61% female], fluoxetine [55.6 (6.6), 71%], riluzole [54.6 (6.3), 68%], or placebo [54.8 (7.9), 67%]. FIELD STRENGTH/SEQUENCE 3-Tesla. Chemical-shift-imaging 2D-point-resolved-spectroscopy (PRESS), 3DT1. ASSESSMENT Brain metabolites in normal appearing white matter (NAWM) and gray matter (GM), brain volume, lesion load, nine-hole peg test (9HPT), and paced auditory serial addition test were measured at baseline and at 96-weeks. STATISTICAL TESTS Paired t-test was used to analyze metabolite changes in the placebo arm over 96-weeks. Metabolite differences between treatment arms and placebo; and associations between baseline metabolites and upper limb function/information processing speed at 96-weeks assessed using multiple linear regression models. P-value<0.05 was considered statistically significant. RESULTS In the placebo arm, tCho increased in GM (mean difference = -0.32 IU) but decreased in NAWM (mean difference = 0.13 IU). Compared to placebo, in the fluoxetine arm, mIns/tCr was lower (β = -0.21); in the riluzole arm, GM Glx (β = -0.25) and Glx/tCr (β = -0.29) were reduced. Baseline tNAA(β = 0.22) and tNAA/tCr (β = 0.23) in NAWM were associated with 9HPT scores at 96-weeks. DATA CONCLUSION 1H-MRS demonstrated altered membrane turnover over 96-weeks in the placebo group. It also distinguished changes in neuro-metabolites related to gliosis and glutaminergic transmission, due to fluoxetine and riluzole, respectively. Data show tNAA is a potential marker for upper limb function. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 4.
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Affiliation(s)
- Nevin A John
- Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Australia
- Department of Neurology, Monash Health, Melbourne, Australia
| | - Bhavana S Solanky
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Floriana De Angelis
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Richard A Parker
- Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Christopher J Weir
- Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Jonathan Stutters
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Ferran Prados Carrasco
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- e-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Torben Schneider
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Anisha Doshi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Alberto Calvi
- Laboratory of Advanced Imaging in Neuroimmunological Diseases (imaginEM), Fundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi I Sunyer (FRCB-IDIBAPS), Barcelona, Spain
| | - Thomas Williams
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Domenico Plantone
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Anita Monteverdi
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain Connectivity Center, C. Mondino National Neurological Institute, Pavia, Italy
| | - David MacManus
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Ian Marshall
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Claudia A M Gandini Wheeler-Kingshott
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain Connectivity Center, C. Mondino National Neurological Institute, Pavia, Italy
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
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2
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Spain RI, Hildebrand A, Waslo CS, Rooney WD, Emmons J, Schwartz DL, Freedman MS, Paz Soldan MM, Repovic P, Solomon AJ, Rinker J, Wallin M, Haselkorn JK, Stuve O, Gross RH, Turner AP. Processing speed and memory test performance are associated with different brain region volumes in Veterans and others with progressive multiple sclerosis. Front Neurol 2023; 14:1188124. [PMID: 37360346 PMCID: PMC10285490 DOI: 10.3389/fneur.2023.1188124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/09/2023] [Indexed: 06/28/2023] Open
Abstract
Background Cognitive dysfunction and brain atrophy are both common in progressive multiple sclerosis (MS) but are seldom examined comprehensively in clinical trials. Antioxidant treatment may affect the neurodegeneration characteristic of progressive MS and slow its symptomatic and radiographic correlates. Objectives This study aims to evaluate cross-sectional associations between cognitive battery components of the Brief International Cognitive Assessment for Multiple Sclerosis with whole and segmented brain volumes and to determine if associations differ between secondary progressive (SPMS) and primary progressive (PPMS) MS subtypes. Design The study was based on a baseline analysis from a multi-site randomized controlled trial of the antioxidant lipoic acid in veterans and other people with progressive MS (NCT03161028). Methods Cognitive batteries were conducted by trained research personnel. MRIs were processed at a central processing site for maximum harmonization. Semi-partial Pearson's adjustments evaluated associations between cognitive tests and MRI volumes. Regression analyses evaluated differences in association patterns between SPMS and PPMS cohorts. Results Of the 114 participants, 70% had SPMS. Veterans with MS made up 26% (n = 30) of the total sample and 73% had SPMS. Participants had a mean age of 59.2 and sd 8.5 years, and 54% of them were women, had a disease duration of 22.4 (sd 11.3) years, and had a median Expanded Disability Status Scale of 6.0 (with an interquartile range of 4.0-6.0, moderate disability). The Symbol Digit Modalities Test (processing speed) correlated with whole brain volume (R = 0.29, p = 0.01) and total white matter volume (R = 0.33, p < 0.01). Both the California Verbal Learning Test (verbal memory) and Brief Visuospatial Memory Test-Revised (visual memory) correlated with mean cortical thickness (R = 0.27, p = 0.02 and R = 0.35, p < 0.01, respectively). Correlation patterns were similar in subgroup analyses. Conclusion Brain volumes showed differing patterns of correlation across cognitive tasks in progressive MS. Similar results between SPMS and PPMS cohorts suggest combining progressive MS subtypes in studies involving cognition and brain atrophy in these populations. Longitudinal assessment will determine the therapeutic effects of lipoic acid on cognitive tasks, brain atrophy, and their associations.
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Affiliation(s)
- Rebecca I. Spain
- Department of Veterans Affairs Portland Health Care System, Portland, OR, United States
- Neurology, Oregon Health & Science University, Portland, OR, United States
| | - Andrea Hildebrand
- Biostatistics and Design Program, Oregon Health & Science University/Portland State University School of Public Health, Portland, OR, United States
| | - Carin S. Waslo
- Department of Veterans Affairs Portland Health Care System, Portland, OR, United States
| | - William D. Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States
| | - Joshua Emmons
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States
| | - Daniel L. Schwartz
- Neurology, Oregon Health & Science University, Portland, OR, United States
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States
| | - Mark S. Freedman
- Department of Medicine, University of Ottawa and the Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - M. Mateo Paz Soldan
- Department of Veterans Affairs, Salt Lake City Health Care System, Salt Lake City, UT, United States
- Neurology, University of Utah, Salt Lake City, UT, United States
| | - Pavle Repovic
- Neurology, Swedish Medical Center, Seattle, WA, United States
| | - Andrew J. Solomon
- Lerner College of Medicine at the University of Vermont, Burlington, VT, United States
| | - John Rinker
- Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Mitchell Wallin
- Department of Veterans Affairs Washington DC Medical Center, Washington, DC, United States
- University of Maryland School of Medicine, Baltimore, MD, United States
| | - Jodie K. Haselkorn
- Department of Veterans Affairs, Puget Sound Health Care System, Seattle, WA, United States
- Rehabilitation Medicine & Epidemiology, University of Washington, Seattle, WA, United States
| | - Olaf Stuve
- Department of Veterans Affairs North Texas Health Care System-Dallas, Dallas, TX, United States
- Neurology, University of Texas Southwestern Medical Center, Dallas, TX, United States
- Peter O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Robert H. Gross
- Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Aaron P. Turner
- Department of Veterans Affairs, Puget Sound Health Care System, Seattle, WA, United States
- Rehabilitation Medicine & Epidemiology, University of Washington, Seattle, WA, United States
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LoPresti P. Serum-Based Biomarkers in Neurodegeneration and Multiple Sclerosis. Biomedicines 2022; 10:biomedicines10051077. [PMID: 35625814 PMCID: PMC9138270 DOI: 10.3390/biomedicines10051077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 02/04/2023] Open
Abstract
Multiple Sclerosis (MS) is a debilitating disease with typical onset between 20 and 40 years of age, so the disability associated with this disease, unfortunately, occurs in the prime of life. At a very early stage of MS, the relapsing-remitting mobility impairment occurs in parallel with a progressive decline in cognition, which is subclinical. This stage of the disease is considered the beginning of progressive MS. Understanding where a patient is along such a subclinical phase could be critical for therapeutic efficacy and enrollment in clinical trials to test drugs targeted at neurodegeneration. Since the disease course is uneven among patients, biomarkers are needed to provide insights into pathogenesis, diagnosis, and prognosis of events that affect neurons during this subclinical phase that shapes neurodegeneration and disability. Thus, subclinical cognitive decline must be better understood. One approach to this problem is to follow known biomarkers of neurodegeneration over time. These biomarkers include Neurofilament, Tau and phosphotau protein, amyloid-peptide-β, Brl2 and Brl2-23, N-Acetylaspartate, and 14-3-3 family proteins. A composite set of these serum-based biomarkers of neurodegeneration might provide a distinct signature in early vs. late subclinical cognitive decline, thus offering additional diagnostic criteria for progressive neurodegeneration and response to treatment. Studies on serum-based biomarkers are described together with selective studies on CSF-based biomarkers and MRI-based biomarkers.
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Affiliation(s)
- Patrizia LoPresti
- Department of Psychology, The University of Illinois at Chicago, 1007 West Harrison Street, Chicago, IL 60607, USA
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4
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Thompson AJ, Carroll W, Ciccarelli O, Comi G, Cross A, Donnelly A, Feinstein A, Fox RJ, Helme A, Hohlfeld R, Hyde R, Kanellis P, Landsman D, Lubetzki C, Marrie RA, Morahan J, Montalban X, Musch B, Rawlings S, Salvetti M, Sellebjerg F, Sincock C, Smith KE, Strum J, Zaratin P, Coetzee T. Charting a global research strategy for progressive MS-An international progressive MS Alliance proposal. Mult Scler 2021; 28:16-28. [PMID: 34850641 PMCID: PMC8688983 DOI: 10.1177/13524585211059766] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Progressive forms of multiple sclerosis (MS) affect more than 1 million individuals globally. Recent approvals of ocrelizumab for primary progressive MS and siponimod for active secondary progressive MS have opened the therapeutic door, though results from early trials of neuroprotective agents have been mixed. The recent introduction of the term 'active' secondary progressive MS into the therapeutic lexicon has introduced potential confusion to disease description and thereby clinical management. OBJECTIVE This paper reviews recent progress, highlights continued knowledge and proposes, on behalf of the International Progressive MS Alliance, a global research strategy for progressive MS. METHODS Literature searches of PubMed between 2015 and May, 2021 were conducted using the search terms "progressive multiple sclerosis", "primary progressive multiple sclerosis", "secondary progressive MS". Proposed strategies were developed through a series of in-person and virtual meetings of the International Progressive MS Alliance Scientific Steering Committee. RESULTS Sustaining and accelerating progress will require greater understanding of underlying mechanisms, identification of potential therapeutic targets, biomarker discovery and validation, and conduct of clinical trials with improved trial design. Encouraging developments in symptomatic and rehabilitative interventions are starting to address ongoing challenges experienced by people with progressive MS. CONCLUSION We need to manage these challenges and realise the opportunities in the context of a global research strategy, which will improve quality of life for people with progressive MS.
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Affiliation(s)
| | | | | | | | - Anne Cross
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | | | - Reinhard Hohlfeld
- Munich Cluster for Systems Neurology, Ludwig Maximilian University of Munich, Munich, Germany
| | | | | | | | | | | | | | - Xavier Montalban
- Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | | | - Marco Salvetti
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Sapienza University of Rome, Rome, Italy/Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy
| | - Finn Sellebjerg
- Copenhagen University Hospital-Rigshospitalet, Glostrup, Denmark
| | | | | | - Jon Strum
- International Progressive MS Alliance, Los Angeles, CA, USA
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5
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Jandric D, Doshi A, Scott R, Paling D, Rog D, Chataway J, Schoonheim M, Parker G, Muhlert N. A systematic review of resting state functional MRI connectivity changes and cognitive impairment in multiple sclerosis. Brain Connect 2021; 12:112-133. [PMID: 34382408 DOI: 10.1089/brain.2021.0104] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Cognitive impairment in multiple sclerosis (MS) is increasingly being investigated with resting state functional MRI (rs-fMRI) functional connectivity (FC) . However, results remain difficult to interpret, showing both high and low FC associated with cognitive impairment. We conducted a systematic review of rs-fMRI studies in MS to understand whether the direction of FC change relates to cognitive dysfunction, and how this may be influenced by the choice of methodology. METHODS Embase, Medline and PsycINFO were searched for studies assessing cognitive function and rs-fMRI FC in adults with MS. RESULTS Fifty-seven studies were included in a narrative synthesis. Of these, 50 found an association between cognitive impairment and FC abnormalities. Worse cognition was linked to high FC in 18 studies, and to low FC in 17 studies. Nine studies found patterns of both high and low FC related to poor cognitive performance, in different regions or for different MR metrics. There was no clear link to increased FC during early stages of MS and reduced FC in later stages, as predicted by common models of MS pathology. Throughout, we found substantial heterogeneity in study methodology, and carefully consider how this may impact on the observed findings. DISCUSSION These results indicate an urgent need for greater standardisation in the field - in terms of the choice of MRI analysis and the definition of cognitive impairment. This will allow us to use rs-fMRI FC as a biomarker in future clinical studies, and as a tool to understand mechanisms underpinning cognitive symptoms in MS.
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Affiliation(s)
- Danka Jandric
- The University of Manchester, 5292, Oxford Road, Manchester, United Kingdom of Great Britain and Northern Ireland, M13 9PL;
| | - Anisha Doshi
- University College London, 4919, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Richelle Scott
- The University of Manchester, 5292, Manchester, United Kingdom of Great Britain and Northern Ireland;
| | - David Paling
- Royal Hallamshire Hospital, 105629, Sheffield, Sheffield, United Kingdom of Great Britain and Northern Ireland;
| | - David Rog
- Salford Royal Hospital, 105621, Salford, Salford, United Kingdom of Great Britain and Northern Ireland;
| | - Jeremy Chataway
- University College London, 4919, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Menno Schoonheim
- Amsterdam UMC Locatie VUmc, 1209, Anatomy & Neurosciences, Amsterdam, Noord-Holland, Netherlands;
| | - Geoff Parker
- University College London, 4919, London, London, United Kingdom of Great Britain and Northern Ireland.,The University of Manchester, 5292, Manchester, United Kingdom of Great Britain and Northern Ireland;
| | - Nils Muhlert
- The University of Manchester, 5292, Manchester, United Kingdom of Great Britain and Northern Ireland;
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Petracca M, Pontillo G, Moccia M, Carotenuto A, Cocozza S, Lanzillo R, Brunetti A, Brescia Morra V. Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis. Brain Sci 2021; 11:346. [PMID: 33803287 PMCID: PMC8000635 DOI: 10.3390/brainsci11030346] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/02/2021] [Accepted: 03/04/2021] [Indexed: 02/06/2023] Open
Abstract
Cognitive impairment is a frequent and meaningful symptom in multiple sclerosis (MS), caused by the accrual of brain structural damage only partially counteracted by effective functional reorganization. As both these aspects can be successfully investigated through the application of advanced neuroimaging, here, we offer an up-to-date overview of the latest findings on structural, functional and metabolic correlates of cognitive impairment in adults with MS, focusing on the mechanisms sustaining damage accrual and on the identification of useful imaging markers of cognitive decline.
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Affiliation(s)
- Maria Petracca
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (G.P.); (S.C.); (A.B.)
- Department of Electrical Engineering and Information Technology, University of Naples “Federico II”, 80125 Naples, Italy
| | - Marcello Moccia
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
| | - Antonio Carotenuto
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (G.P.); (S.C.); (A.B.)
| | - Roberta Lanzillo
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (G.P.); (S.C.); (A.B.)
| | - Vincenzo Brescia Morra
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
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7
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Cagnazzo F, Arquizan C, Derraz I, Dargazanli C, Lefevre PH, Riquelme C, Gaillard N, Mourand I, Gascou G, Bonafe A, Costalat V. Neurological manifestations of patients infected with the SARS-CoV-2: a systematic review of the literature. J Neurol 2020; 268:2656-2665. [PMID: 33125542 PMCID: PMC7597753 DOI: 10.1007/s00415-020-10285-9] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 10/14/2020] [Accepted: 10/20/2020] [Indexed: 01/05/2023]
Abstract
Objective To perform an updated review of the literature on the neurological manifestations of COVID-19-infected patients Methods A PRISMA-guideline-based systematic review was conducted on PubMed, EMBASE, and SCOPUS. Series reporting neurological manifestations of COVID-19 patients were studied. Results 39 studies and 68,361 laboratory-confirmed COVID-19 patients were included. Up to 21.3% of COVID-19 patients presented neurological symptoms. Headache (5.4%), skeletal muscle injury (5.1%), psychiatric disorders (4.6%), impaired consciousness (2.8%), gustatory/olfactory dysfunction (2.3%), acute cerebrovascular events (1.4%), and dizziness (1.3%), were the most frequently reported neurological manifestations. Ischemic stroke occurred among 1.3% of COVID-19 patients. Other less common neurological manifestations were cranial nerve impairment (0.6%), nerve root and plexus disorders (0.4%), epilepsy (0.7%), and hemorrhagic stroke (0.15%). Impaired consciousness and acute cerebrovascular events were reported in 14% and 4% of patients with a severe disease, respectively, and they were significantly higher compared to non-severe patients (p < 0.05). Individual patient data from 129 COVID-19 patients with acute ischemic stroke (AIS) were extracted: mean age was 64.4 (SD ± 6.2), 78.5% had anterior circulation occlusions, the mean NIHSS was 15 (SD ± 7), and the intra-hospital mortality rate was 22.8%. Admission to the intensive care unit (ICU) was required among 63% of patients. Conclusion This updated review of literature, shows that headache, skeletal muscle injury, psychiatric disorders, impaired consciousness, and gustatory/olfactory dysfunction were the most common neurological symptoms of COVID-19 patients. Impaired consciousness and acute cerebrovascular events were significantly higher among patients with a severe infection. AIS patients required ICU admission in 63% of cases, while intra-hospital mortality rate was close to 23%. Electronic supplementary material The online version of this article (10.1007/s00415-020-10285-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Federico Cagnazzo
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier University Medical Center, 80, Avenue Augustin Fliche, Montpellier, France.
| | - Caroline Arquizan
- Department of Neurology, Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Imad Derraz
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier University Medical Center, 80, Avenue Augustin Fliche, Montpellier, France
| | - Cyril Dargazanli
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier University Medical Center, 80, Avenue Augustin Fliche, Montpellier, France
| | - Pierre-Henri Lefevre
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier University Medical Center, 80, Avenue Augustin Fliche, Montpellier, France
| | - Carlos Riquelme
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier University Medical Center, 80, Avenue Augustin Fliche, Montpellier, France
| | - Nicolas Gaillard
- Department of Neurology, Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Isabelle Mourand
- Department of Neurology, Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - Gregory Gascou
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier University Medical Center, 80, Avenue Augustin Fliche, Montpellier, France
| | - Alain Bonafe
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier University Medical Center, 80, Avenue Augustin Fliche, Montpellier, France
| | - Vincent Costalat
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier University Medical Center, 80, Avenue Augustin Fliche, Montpellier, France
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