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Awad IA, Alcazar-Felix RJ, Stadnik A, Kinkade S, Jhaveri A, Lee J, Hage S, Iqbal J, Polster SP, Shenkar R, Treine K, McBee N, Ostapkovich N, Lane K, Liao JK, Sorrentino M, Lee C, Flemming KD, Girard R, Carroll TJ, Thompson RE, Hanley DF. Safety and efficacy of atorvastatin for rebleeding in cerebral cavernous malformations (AT CASH EPOC): a phase 1/2a, randomised placebo-controlled trial. Lancet Neurol 2025; 24:295-304. [PMID: 40120614 PMCID: PMC12080613 DOI: 10.1016/s1474-4422(25)00036-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Revised: 01/20/2025] [Accepted: 01/27/2025] [Indexed: 03/25/2025]
Abstract
BACKGROUND Cerebral cavernous malformations (CCMs) carry a high risk of rebleeding after symptomatic haemorrhage, with serious clinical sequelae. Atorvastatin was shown to prevent CCM growth and bleeding in animal models. We aimed to assess the safety and efficacy of atorvastatin on rebleeding in patients with CCMs after a symptomatic haemorrhage. METHODS We did a phase 1/2a randomised trial at the University of Chicago's CCM Center of Excellence. Patients aged 18-80 years with untreated CCMs who had had symptomatic bleeding from a CCM lesion within the previous year were eligible. Patients were randomly allocated (1:1) to oral atorvastatin (80 mg daily for 2 years) or matching placebo. Investigators, clinical staff, and participants were masked to the assigned treatment. The primary efficacy outcome was the percentage change in mean lesional iron deposition per year, measured by quantitative susceptibility mapping (QSM) on MRI and averaged over 2 years; a decrease would signal potential benefit and an increase a safety concern. The primary efficacy outcome was analysed in the modified intention-to-treat cohort, including patients with at least one annual paired QSM assessment. Safety outcomes included rates of bleeds and serious adverse events necessitating drug discontinuation. This trial is registered at ClinicalTrials.gov (NCT02603328) and is completed. FINDINGS Between July 25, 2018, and July 22, 2022, 326 patients were assessed for eligibility, and 80 patients were allocated either atorvastatin (n=41) or placebo (n=39). 29 (36%) patients were male and 51 (64%) were female. 64 (80%) patients (33 in the atorvastatin group and 31 in the placebo group) had at least one annual paired QSM assessment and were included in the modified intention-to-treat analyses. The mean annual percentage change in lesional QSM was 10·88 (SE 7·29) with atorvastatin versus 12·09 (SE 7·54) with placebo (treatment effect -1·22, 95% CI -22·25 to 19·81; p=0·91). Symptomatic haemorrhage was reported in six patients assigned atorvastatin and seven patients assigned placebo (relative risk 0·81, 95% CI 0·31 to 2·13). No patients had a serious adverse event requiring drug discontinuation and no deaths were recorded. INTERPRETATION For people with symptomatic haemorrhage caused by CCMs, atorvastatin did not affect the mean change in lesional iron deposition on brain MRI over 2 years when compared with placebo. Atorvastatin was well tolerated and no safety concerns were noted. The study provides a useful framework for biomarker driven drug assessment in a rare disease. FUNDING US National Institutes of Health.
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Affiliation(s)
- Issam A Awad
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA; Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA.
| | - Roberto J Alcazar-Felix
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Agnieszka Stadnik
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Serena Kinkade
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Aditya Jhaveri
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Justine Lee
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Stephanie Hage
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Javed Iqbal
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Sean P Polster
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Robert Shenkar
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Kevin Treine
- Department of Neurology, BIOS Clinical Trial Coordinating Center, Trial Innovation Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nichol McBee
- Department of Neurology, BIOS Clinical Trial Coordinating Center, Trial Innovation Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Noeleen Ostapkovich
- Department of Neurology, BIOS Clinical Trial Coordinating Center, Trial Innovation Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Karen Lane
- Department of Neurology, BIOS Clinical Trial Coordinating Center, Trial Innovation Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - James K Liao
- Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Matthew Sorrentino
- Department of Medicine, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Cornelia Lee
- Alliance to Cure Cavernous Malformations, Charlottesville, VA, USA
| | | | - Romuald Girard
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Timothy J Carroll
- Department of Diagnostic Radiology, University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Richard E Thompson
- Department of Neurology, BIOS Clinical Trial Coordinating Center, Trial Innovation Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel F Hanley
- Department of Neurology, BIOS Clinical Trial Coordinating Center, Trial Innovation Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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2
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Parekh P, Fan CC, Frei O, Palmer CE, Smith DM, Makowski C, Iversen JR, Pecheva D, Holland D, Loughnan R, Nedelec P, Thompson WK, Hagler DJ, Andreassen OA, Jernigan TL, Nichols TE, Dale AM. FEMA: Fast and efficient mixed-effects algorithm for large sample whole-brain imaging data. Hum Brain Mapp 2024; 45:e26579. [PMID: 38339910 PMCID: PMC10823765 DOI: 10.1002/hbm.26579] [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: 04/28/2023] [Revised: 12/08/2023] [Accepted: 12/17/2023] [Indexed: 02/12/2024] Open
Abstract
The linear mixed-effects model (LME) is a versatile approach to account for dependence among observations. Many large-scale neuroimaging datasets with complex designs have increased the need for LME; however LME has seldom been used in whole-brain imaging analyses due to its heavy computational requirements. In this paper, we introduce a fast and efficient mixed-effects algorithm (FEMA) that makes whole-brain vertex-wise, voxel-wise, and connectome-wide LME analyses in large samples possible. We validate FEMA with extensive simulations, showing that the estimates of the fixed effects are equivalent to standard maximum likelihood estimates but obtained with orders of magnitude improvement in computational speed. We demonstrate the applicability of FEMA by studying the cross-sectional and longitudinal effects of age on region-of-interest level and vertex-wise cortical thickness, as well as connectome-wide functional connectivity values derived from resting state functional MRI, using longitudinal imaging data from the Adolescent Brain Cognitive DevelopmentSM Study release 4.0. Our analyses reveal distinct spatial patterns for the annualized changes in vertex-wise cortical thickness and connectome-wide connectivity values in early adolescence, highlighting a critical time of brain maturation. The simulations and application to real data show that FEMA enables advanced investigation of the relationships between large numbers of neuroimaging metrics and variables of interest while considering complex study designs, including repeated measures and family structures, in a fast and efficient manner. The source code for FEMA is available via: https://github.com/cmig-research-group/cmig_tools/.
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Affiliation(s)
- Pravesh Parekh
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Chun Chieh Fan
- Center for Population Neuroscience and GeneticsLaureate Institute for Brain ResearchTulsaOklahomaUSA
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Oleksandr Frei
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOsloNorway
- Centre for Bioinformatics, Department of InformaticsUniversity of OsloOsloNorway
| | - Clare E. Palmer
- Center for Human DevelopmentUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Diana M. Smith
- Center for Human DevelopmentUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
- Neurosciences Graduate ProgramUniversity of California San DiegoLa JollaCaliforniaUSA
- Medical Scientist Training ProgramUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Carolina Makowski
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - John R. Iversen
- Center for Human DevelopmentUniversity of California San DiegoLa JollaCaliforniaUSA
- Institute for Neural ComputationUniversity of California San DiegoLa JollaCaliforniaUSA
- The Swartz Center for Computational NeuroscienceUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of Psychology Neuroscience & BehaviourMcMaster UniversityHamiltonOntarioCanada
| | - Diliana Pecheva
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Dominic Holland
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Robert Loughnan
- Population Neuroscience and Genetics LabUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Pierre Nedelec
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Wesley K. Thompson
- Center for Population Neuroscience and GeneticsLaureate Institute for Brain ResearchTulsaOklahomaUSA
| | - Donald J. Hagler
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Terry L. Jernigan
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Human DevelopmentUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of Cognitive ScienceUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Thomas E. Nichols
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Anders M. Dale
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of Cognitive ScienceUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of NeuroscienceUniversity of California San DiegoLa JollaCaliforniaUSA
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3
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Gentile G, Mattiesing RM, Brouwer I, van Schijndel RA, Uitdehaag BMJ, Twisk JWR, Kappos L, Freedman MS, Comi G, Jack D, Barkhof F, De Stefano N, Vrenken H, Battaglini M. The spatio-temporal relationship between concurrent lesion and brain atrophy changes in early multiple sclerosis: A post-hoc analysis of the REFLEXION study. Neuroimage Clin 2023; 38:103397. [PMID: 37086648 PMCID: PMC10300577 DOI: 10.1016/j.nicl.2023.103397] [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: 12/22/2022] [Revised: 03/30/2023] [Accepted: 04/02/2023] [Indexed: 04/08/2023]
Abstract
BACKGROUND White matter (WM) lesions and brain atrophy are present early in multiple sclerosis (MS). However, their spatio-temporal relationship remains unclear. METHODS Yearly magnetic resonance images were analysed in 387 patients with a first clinical demyelinating event (FCDE) from the 5-year REFLEXION study. Patients received early (from baseline; N = 258; ET) or delayed treatment (from month-24; N = 129; DT) with subcutaneous interferon beta-1a. FSL-SIENA/VIENA were used to provide yearly percentage volume change of brain (PBVC) and ventricles (PVVC). Yearly total lesion volume change (TLVC) was determined by a semi-automated method. Using linear mixed models and voxel-wise analyses, we firstly investigated the overall relationship between TLVC and PBVC and between TLVC and PVVC in the same follow-up period. Analyses were then separately performed for: the untreated period of DT patients (first two years), the first year of treatment (year 1 for ET and year 3 for DT), and a period where patients had received at least 1 year of treatment (stable treatment; ET: years 2, 3, 4, and 5; DT: years 4 and 5). RESULTS Whole brain: across the whole study period, lower TLVC was related to faster atrophy (PBVC: B = 0.046, SE = 0.013, p < 0.001; PVVC: B = -0.466, SE = 0.118, p < 0.001). Within the untreated period of DT patients, lower TLVC was related to faster atrophy (PBVC: B = 0.072, SE = 0.029, p = 0.013; PVVC: B = -0.917, SE = 0.306, p = 0.003). A similar relationship was found within the first year of treatment of ET patients (PBVC: B = 0.081, SE = 0.027, p = 0.003; PVVC: B = -1.08, SE = 0.284, p < 0.001), consistent with resolving oedema and pseudo-atrophy. Voxel-wise: overall, higher TLVC was related to faster ventricular enlargement. Lower TLVC was related to faster widespread atrophy in year 1 in both ET (first year of treatment) and DT (untreated) patients. In the second untreated year of DT patients and within the stable treatment period of ET patients (year 4), faster periventricular and occipital lobe atrophy was associated with higher TLVC. CONCLUSIONS WM lesion changes and atrophy occurred simultaneously in early MS. Spatio-temporal correspondence of these two processes involved mostly the periventricular area. Within the first year of the study, in both treatment groups, faster atrophy was linked to lower lesion volume changes, consistent with higher shrinking and disappearing lesion activity. This might reflect the pseudo-atrophy phenomenon that is probably related to the therapy driven (only in ET patients, as they received treatment from baseline) and "natural" (both ET and DT patients entered the study after a FCDE) resolution of oedema. In an untreated period and later on during stable treatment, (real) atrophy was related to higher lesion volume changes, consistent with increased new and enlarging lesion activity.
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Affiliation(s)
- Giordano Gentile
- Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy; Siena Imaging SRL, 53100 Siena, Italy.
| | - Rozemarijn M Mattiesing
- MS Center Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081 HZ Amsterdam, the Netherlands
| | - Iman Brouwer
- MS Center Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081 HZ Amsterdam, the Netherlands
| | - Ronald A van Schijndel
- MS Center Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081 HZ Amsterdam, the Netherlands
| | - Bernard M J Uitdehaag
- MS Center Amsterdam, Neurology, Amsterdam Neuroscience, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081 HZ Amsterdam, the Netherlands
| | - Jos W R Twisk
- Epidemiology and Data Science, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081 HZ Amsterdam, the Netherlands
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology, and Neuroscience Basel (RC2NB), University Hospital Basel, CH-4031 Basel, Switzerland; Neurology Departments of Head, Spine and Neuromedicine, Biomedical Engineering and Clinical Research, University of Basel, Basel, Switzerland
| | - Mark S Freedman
- Department of Medicine, University of Ottawa, Ottawa ON, K1N 6N5, Ontario, Canada; Ottawa Hospital Research Institute, Ottawa ON, K1H 8L6, Ontario, Canada
| | - Giancarlo Comi
- Università Vita Salute San Raffaele, Casa di Cura del Policlinico, 20132 Milan, Italy
| | - Dominic Jack
- Merck Serono Ltd, Feltham, TW14 8HD, UK, an affiliate of Merck KGaA
| | - Frederik Barkhof
- MS Center Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081 HZ Amsterdam, the Netherlands; UCL Institutes of Neurology and Healthcare Engineering, London, WC1E 6BT, UK
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy
| | - Hugo Vrenken
- MS Center Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC location VUmc, De Boelelaan 1118, 1081 HZ Amsterdam, the Netherlands
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy; Siena Imaging SRL, 53100 Siena, Italy
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The spatio-temporal relationship between white matter lesion volume changes and brain atrophy in clinically isolated syndrome and early multiple sclerosis. Neuroimage Clin 2022; 36:103220. [PMID: 36274376 PMCID: PMC9668617 DOI: 10.1016/j.nicl.2022.103220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 09/15/2022] [Accepted: 10/01/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND White matter lesions and brain atrophy are both present early in multiple sclerosis. However, the spatio-temporal relationship between atrophy and lesion processes remains unclear. METHODS Yearly magnetic resonance images were analyzed in 392 patients with clinically isolated syndrome from the 5-year REFLEX/REFLEXION studies. Patients received early treatment (from baseline; N = 262) or delayed treatment (from month-24; N = 130) with subcutaneous interferon beta-1a. Global and central atrophy were assessed using FSL-SIENA to provide yearly percentage volume change of brain and ventricles, respectively. Yearly total lesion volume change was calculated by subtracting the sum of the negative lesion volume change (disappearing + shrinking) from the positive lesion volume change (new + enlarging) for each yearly interval, as determined by an in-house developed semi-automated method. Using linear mixed models, during the period where patients had received ≥1 year of treatment, we investigated whether total lesion volume change was associated with percentage brain volume change or percentage ventricular volume change in the next year, and vice versa. RESULTS Higher total lesion volume change was related to significantly faster global atrophy (percentage brain volume change) in the next year (B = - 0.113, SE = 0.022, p < 0.001). In patients receiving early treatment only, total lesion volume change was also associated with percentage ventricular volume change in the next year (B = 1.348, SE = 0.181, p < 0.001). Voxel-wise analyses showed that in patients receiving early treatment, higher total lesion volume change in years 2, 3, and 4 was related to faster atrophy in the next year, and in year 4 this relationship was stronger in patients receiving delayed treatment. Interestingly, faster atrophy was related to higher total lesion volume change in the next year (percentage brain volume change: B = - 0.136, SE = 0.062, p = 0.028; percentage ventricular volume change: B = 0.028, SE = 0.008, p < 0.001). CONCLUSIONS Higher lesion volume changes were associated with faster atrophy in the next year. Interestingly, there was also an association between faster atrophy and higher lesion volume changes in the next year.
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Predictive MRI Biomarkers in MS—A Critical Review. Medicina (B Aires) 2022; 58:medicina58030377. [PMID: 35334554 PMCID: PMC8949449 DOI: 10.3390/medicina58030377] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 02/12/2022] [Accepted: 02/21/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MRI. Materials and Methods: All authors individually and comprehensively reviewed each of the aspects listed below in PubMed, Medline, and Google Scholar. Results: There are numerous MRI metrics that have been proven by clinical studies to hold important prognostic value for MS patients, most of which can be readily obtained from standard 1.5T MRI scans. Conclusions: While some of these parameters have passed the test of time and seem to be associated with a reliable predictive power, some are still better interpreted with caution. We hope this will serve as a reminder of how vast a resource we have on our hands in this versatile tool—it is up to us to make use of it.
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Uher T, Krasensky J, Malpas C, Bergsland N, Dwyer MG, Kubala Havrdova E, Vaneckova M, Horakova D, Zivadinov R, Kalincik T. Evolution of Brain Volume Loss Rates in Early Stages of Multiple Sclerosis. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/3/e979. [PMID: 33727311 PMCID: PMC7984675 DOI: 10.1212/nxi.0000000000000979] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 01/05/2021] [Indexed: 11/15/2022]
Abstract
Objective To describe the dynamics of brain volume loss (BVL) at different stages of relapsing-remitting multiple sclerosis (RRMS), to describe the association between BVL and clinical measures, and to investigate an effect of treatment escalation on the rate of BVL. Methods Together, 1903 patients predominantly with RRMS from the Avonex-Steroids-Azathioprine cohort (N = 166), the study of early IFN-β1a treatment cohort (N = 180), and the quantitative MRI cohort (N = 1,557) with ≥2 MRI scans and ≥1-year of follow-up were included. Brain MRI scans (N = 7,203) were performed using a single 1.5-T machine. Relationships between age or disease duration and global and tissue-specific BVL rates were analyzed using mixed models. Results Age was not associated with the rate of BVL (β = −0.003; Cohen f2 = 0.0005; adjusted p = 0.39). Although disease duration was associated with the rate of BVL, its effect on the BVL rate was minimal (β = −0.012; Cohen f2 = 0.004; adjusted p = 4 × 10−5). Analysis of association between tissue-specific brain volume changes and age (β = −0.019 to −0.011; adjusted p = 0.028–1.00) or disease duration (β = −0.028 to −0.008; adjusted p = 0.16–0.96) confirmed these results. Although increase in the relapse rate (β = 0.10; adjusted p = 9 × 10−9), Expanded Disability Status Scale (EDSS; β = 0.17; adjusted p = 8 × 10−5), and EDSS change (β = 0.15; adjusted p = 2 × 10−5) were associated with accelerated rate of BVL, their effect on the rate of BVL was minimal (all Cohen f2 ≤ 0.007). In 94 patients who escalated therapy, the rate of BVL decreased following treatment escalation by 0.29% (β = −0.29; Cohen f2 = 0.133; p = 5.5 × 10−8). Conclusions The rate of BVL is relatively stable throughout the course of RRMS. The accelerated BVL is weakly associated with concurrent higher disease activity, and timely escalation to high-efficacy immunotherapy helps decrease the rate of BVL.
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Affiliation(s)
- Tomas Uher
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia.
| | - Jan Krasensky
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
| | - Charles Malpas
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
| | - Niels Bergsland
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
| | - Michael G Dwyer
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
| | - Eva Kubala Havrdova
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
| | - Manuela Vaneckova
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
| | - Dana Horakova
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
| | - Robert Zivadinov
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
| | - Tomas Kalincik
- From the CORe (T.U., C.M., T.K.), Department of Medicine, the University of Melbourne, VIC, Australia; Department of Neurology and Center of Clinical Neuroscience (T.U., E.K.H., D.H.), Charles University in Prague, 1st Faculty of Medicine and General University Hospital; Department of Radiology (J.K., M.V.), Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic; Buffalo Neuroimaging Analysis Center (N.B., M.G.D., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York; IRCCS (N.B.), Fondazione Don Carlo Gnocchi, Milan, Italy; Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York; and Melbourne MS Centre (T.K.), Department of Neurology, the Royal Melbourne Hospital, VIC, Australia
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7
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Grzegorski T, Losy J. What do we currently know about the clinically isolated syndrome suggestive of multiple sclerosis? An update. Rev Neurosci 2020; 31:335-349. [DOI: 10.1515/revneuro-2019-0084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 09/22/2019] [Indexed: 12/31/2022]
Abstract
AbstractMultiple sclerosis (MS) is a chronic, demyelinating, not fully understood disease of the central nervous system. The first demyelinating clinical episode is called clinically isolated syndrome (CIS) suggestive of MS. Although the most common manifestations of CIS are long tracts dysfunction and unilateral optic neuritis, it can also include isolated brainstem syndromes, cerebellar involvement, and polysymptomatic clinical image. Recently, the frequency of CIS diagnosis has decreased due to the more sensitive and less specific 2017 McDonald criteria compared with the revisions from 2010. Not all patients with CIS develop MS. The risk of conversion can be estimated based on many predictive factors including epidemiological, ethnical, clinical, biochemical, radiological, immunogenetic, and other markers. The management of CIS is nowadays widely discussed among clinicians and neuroscientists. To date, interferons, glatiramer acetate, teriflunomide, cladribine, and some other agents have been evaluated in randomized, placebo-controlled, double-blind studies relying on large groups of patients with the first demyelinating event. All of these drugs were shown to have beneficial effects in patients with CIS and might be used routinely in the future. The goal of this article is to explore the most relevant topics regarding CIS as well as to provide the most recent information in the field. The review presents CIS definition, classification, clinical image, predictive factors, and management. What is more, this is one of very few reviews summarizing the topic in the light of the 2017 McDonald criteria.
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Affiliation(s)
- Tomasz Grzegorski
- Department of Clinical Neuroimmunology, Chair of Neurology, Poznan University of Medical Sciences, 49 Przybyszewskiego Street, 60-355Poznan, Poland
| | - Jacek Losy
- Department of Clinical Neuroimmunology, Chair of Neurology, Poznan University of Medical Sciences, 49 Przybyszewskiego Street, 60-355Poznan, Poland
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8
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Polster SP, Stadnik A, Akers AL, Cao Y, Christoforidis GA, Fam MD, Flemming KD, Girard R, Hobson N, Koenig JI, Koskimäki J, Lane K, Liao JK, Lee C, Lyne SB, McBee N, Morrison L, Piedad K, Shenkar R, Sorrentino M, Thompson RE, Whitehead KJ, Zeineddine HA, Hanley DF, Awad IA. Atorvastatin Treatment of Cavernous Angiomas with Symptomatic Hemorrhage Exploratory Proof of Concept (AT CASH EPOC) Trial. Neurosurgery 2020; 85:843-853. [PMID: 30476251 DOI: 10.1093/neuros/nyy539] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 10/15/2018] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND More than a million Americans harbor a cerebral cavernous angioma (CA), and those who suffer a prior symptomatic hemorrhage have an exceptionally high rebleeding risk. Preclinical studies show that atorvastatin blunts CA lesion development and hemorrhage through inhibiting RhoA kinase (ROCK), suggesting it may confer a therapeutic benefit. OBJECTIVE To evaluate whether atorvastatin produces a difference compared to placebo in lesional iron deposition as assessed by quantitative susceptibility mapping (QSM) on magnetic resonance imaging in CAs that have demonstrated a symptomatic hemorrhage in the prior year. Secondary aims shall assess effects on vascular permeability, ROCK activity in peripheral leukocytes, signal effects on clinical outcomes, adverse events, and prespecified subgroups. METHODS The phase I/IIa placebo-controlled, double-blinded, single-site clinical trial aims to enroll 80 subjects randomized 1-1 to atorvastatin (starting dose 80 mg PO daily) or placebo. Dosing shall continue for 24-mo or until reaching a safety endpoint. EXPECTED OUTCOMES The trial is powered to detect an absolute difference of 20% in the mean percent change in lesional QSM per year (2-tailed, power 0.9, alpha 0.05). A decrease in QSM change would be a signal of potential benefit, and an increase would signal a safety concern with the drug. DISCUSSION With firm mechanistic rationale, rigorous preclinical discoveries, and biomarker validations, the trial shall explore a proof of concept effect of a widely used repurposed drug in stabilizing CAs after a symptomatic hemorrhage. This will be the first clinical trial of a drug aimed at altering rebleeding in CA.
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Affiliation(s)
- Sean P Polster
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Agnieszka Stadnik
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | | | - Ying Cao
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Gregory A Christoforidis
- Department of Diagnostic Radiology, The University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Maged D Fam
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | | | - Romuald Girard
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Nicholas Hobson
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - James I Koenig
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Janne Koskimäki
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Karen Lane
- Division of Brain Injury Outcomes, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland
| | - James K Liao
- Section of Cardiology, Department of Medicine, The University of Chicago Medical Center, Illinois
| | | | - Seán B Lyne
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Nichol McBee
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Leslie Morrison
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Kristina Piedad
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Robert Shenkar
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Matthew Sorrentino
- Section of Cardiology, Department of Medicine, The University of Chicago Medical Center, Illinois
| | - Richard E Thompson
- Division of Brain Injury Outcomes, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland
| | - Kevin J Whitehead
- Department of Cardiovascular Medicine, University of Utah, Salt Lake City, Utah
| | - Hussein A Zeineddine
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Daniel F Hanley
- Division of Brain Injury Outcomes, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland
| | - Issam A Awad
- Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
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9
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New and enlarging white matter lesions adjacent to the ventricle system and thalamic atrophy are independently associated with lateral ventricular enlargement in multiple sclerosis. J Neurol 2019; 267:192-202. [DOI: 10.1007/s00415-019-09565-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 09/28/2019] [Accepted: 09/30/2019] [Indexed: 01/03/2023]
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10
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Imaging in mice and men: Pathophysiological insights into multiple sclerosis from conventional and advanced MRI techniques. Prog Neurobiol 2019; 182:101663. [PMID: 31374243 DOI: 10.1016/j.pneurobio.2019.101663] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 06/17/2019] [Accepted: 07/17/2019] [Indexed: 01/16/2023]
Abstract
Magnetic resonance imaging (MRI) is the most important tool for diagnosing multiple sclerosis (MS). However, MRI is still unable to precisely quantify the specific pathophysiological processes that underlie imaging findings in MS. Because autopsy and biopsy samples of MS patients are rare and biased towards a chronic burnt-out end or fulminant acute early stage, the only available methods to identify human disease pathology are to apply MRI techniques in combination with subsequent histopathological examination to small animal models of MS and to transfer these insights to MS patients. This review summarizes the existing combined imaging and histopathological studies performed in MS mouse models and humans with MS (in vivo and ex vivo), to promote a better understanding of the pathophysiology that underlies conventional MRI, diffusion tensor and magnetization transfer imaging findings in MS patients. Moreover, it provides a critical view on imaging capabilities and results in MS patients and mouse models and for future studies recommends how to combine those particular MR sequences and parameters whose underlying pathophysiological basis could be partly clarified. Further combined longitudinal in vivo imaging and histopathological studies on rationally selected, appropriate mouse models are required.
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11
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Uher T, Vaneckova M, Sormani MP, Krasensky J, Sobisek L, Dusankova JB, Seidl Z, Havrdova E, Kalincik T, Benedict RHB, Horakova D. Identification of multiple sclerosis patients at highest risk of cognitive impairment using an integrated brain magnetic resonance imaging assessment approach. Eur J Neurol 2016; 24:292-301. [PMID: 27873386 DOI: 10.1111/ene.13200] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 09/25/2016] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE While impaired cognitive performance is common in multiple sclerosis (MS), it has been largely underdiagnosed. Here a magnetic resonance imaging (MRI) screening algorithm is proposed to identify patients at highest risk of cognitive impairment. The objective was to examine whether assessment of lesion burden together with whole brain atrophy on MRI improves our ability to identify cognitively impaired MS patients. METHODS Of the 1253 patients enrolled in the study, 1052 patients with all cognitive, volumetric MRI and clinical data available were included in the analysis. Brain MRI and neuropsychological assessment with the Brief International Cognitive Assessment for Multiple Sclerosis were performed. Multivariable logistic regression and individual prediction analysis were used to investigate the associations between MRI markers and cognitive impairment. The results of the primary analysis were validated at two subsequent time points (months 12 and 24). RESULTS The prevalence of cognitive impairment was greater in patients with low brain parenchymal fraction (BPF) (<0.85) and high T2 lesion volume (T2-LV) (>3.5 ml) than in patients with high BPF (>0.85) and low T2-LV (<3.5 ml), with an odds ratio (OR) of 6.5 (95% CI 4.4-9.5). Low BPF together with high T2-LV identified in 270 (25.7%) patients predicted cognitive impairment with 83% specificity, 82% negative predictive value, 51% sensitivity and 75% overall accuracy. The risk of confirmed cognitive decline over the follow-up was greater in patients with high T2-LV (OR 2.1; 95% CI 1.1-3.8) and low BPF (OR 2.6; 95% CI 1.4-4.7). CONCLUSIONS The integrated MRI assessment of lesion burden and brain atrophy may improve the stratification of MS patients who may benefit from cognitive assessment.
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Affiliation(s)
- T Uher
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - M Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - M P Sormani
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - J Krasensky
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - L Sobisek
- Department of Statistics and Probability, University of Economics in Prague, Prague, Czech Republic
| | - J Blahova Dusankova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Z Seidl
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - E Havrdova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - T Kalincik
- Department of Medicine, University of Melbourne, Melbourne, Vic., Australia.,Department of Neurology, Royal Melbourne Hospital, Melbourne, Vic., Australia
| | - R H B Benedict
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - D Horakova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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12
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Espeland MA, Erickson K, Neiberg RH, Jakicic JM, Wadden TA, Wing RR, Desiderio L, Erus G, Hsieh MK, Davatzikos C, Maschak-Carey BJ, Laurienti PJ, Demos-McDermott K, Bryan RN. Brain and White Matter Hyperintensity Volumes After 10 Years of Random Assignment to Lifestyle Intervention. Diabetes Care 2016; 39:764-71. [PMID: 27208378 PMCID: PMC4839171 DOI: 10.2337/dc15-2230] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 01/29/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes increases the accumulation of brain white matter hyperintensities and loss of brain tissue. Behavioral interventions to promote weight loss through dietary changes and increased physical activity may delay these adverse consequences. We assessed whether participation in a successful 10-year lifestyle intervention was associated with better profiles of brain structure. RESEARCH DESIGN AND METHODS At enrollment in the Action for Health in Diabetes clinical trial, participants had type 2 diabetes, were overweight or obese, and were aged 45-76 years. They were randomly assigned to receive 10 years of lifestyle intervention, which included group and individual counseling, or to a control group receiving diabetes support and education through group sessions on diet, physical activity, and social support. Following this intervention, 319 participants from three sites underwent standardized structural brain magnetic resonance imaging and tests of cognitive function 10-12 years after randomization. RESULTS Total brain and hippocampus volumes were similar between intervention groups. The mean (SE) white matter hyperintensity volume was 28% lower among lifestyle intervention participants compared with those receiving diabetes support and education: 1.59 (1.11) vs. 2.21 (1.11) cc (P = 0.02). The mean ventricle volume was 9% lower: 28.93 (1.03) vs. 31.72 (1.03) cc (P = 0.04). Assignment to lifestyle intervention was not associated with consistent differences in cognitive function compared with diabetes support and education. CONCLUSIONS Long-term weight loss intervention may reduce the adverse impact of diabetes on brain structure. Determining whether this eventually delays cognitive decline and impairment requires further research.
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Affiliation(s)
- Mark A Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Kirk Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA
| | - Rebecca H Neiberg
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - John M Jakicic
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA
| | | | | | | | - Guray Erus
- University of Pennsylvania, Philadelphia, PA
| | | | | | | | - Paul J Laurienti
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC
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