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Blair G, Appleton JP, Mhlanga I, Woodhouse LJ, Doubal F, Bath PM, Wardlaw JM. Design of trials in lacunar stroke and cerebral small vessel disease: review and experience with the LACunar Intervention Trial 2 (LACI-2). Stroke Vasc Neurol 2024:svn-2023-003022. [PMID: 38569894 DOI: 10.1136/svn-2023-003022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/02/2024] [Indexed: 04/05/2024] Open
Abstract
Cerebral small vessel disease (cSVD) causes lacunar stroke (25% of ischaemic strokes), haemorrhage, dementia, physical frailty, or is 'covert', but has no specific treatment. Uncertainties about the design of clinical trials in cSVD, which patients to include or outcomes to assess, may have delayed progress. Based on experience in recent cSVD trials, we reviewed ways to facilitate future trials in patients with cSVD.We assessed the literature and the LACunar Intervention Trial 2 (LACI-2) for data to inform choice of Participant, Intervention, Comparator, Outcome, including clinical versus intermediary endpoints, potential interventions, effect of outcome on missing data, methods to aid retention and reduce data loss. We modelled risk of missing outcomes by baseline prognostic variables in LACI-2 using binary logistic regression.Imaging versus clinical outcomes led to larger proportions of missing data. We present reasons for and against broad versus narrow entry criteria. We identified numerous repurposable drugs with relevant modes of action to test in various cSVD subtypes. Cognitive impairment is the most common clinical outcome after lacunar ischaemic stroke but was missing more frequently than dependency, quality of life or vascular events in LACI-2. Assessing cognitive status using Diagnostic and Statistical Manual for Mental Disorders Fifth Edition can use cognitive data from multiple sources and may help reduce data losses.Trials in patients with all cSVD subtypes are urgently needed and should use broad entry criteria and clinical outcomes and focus on ways to maximise collection of cognitive outcomes to avoid missing data.
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Affiliation(s)
| | - Jason P Appleton
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
- Stroke, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Iris Mhlanga
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Lisa J Woodhouse
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | | | - Philip M Bath
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
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Ip BYM, Ko H, Lam BYK, Au LWC, Lau AYL, Huang J, Kwok AJ, Leng X, Cai Y, Leung TWH, Mok VCT. Current and Future Treatments of Vascular Cognitive Impairment. Stroke 2024; 55:822-839. [PMID: 38527144 DOI: 10.1161/strokeaha.123.044174] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Affiliation(s)
- Bonaventure Yiu Ming Ip
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
- Kwok Tak Seng Centre for Stroke Research and Intervention, Hong Kong SAR, China (B.Y.M.I., X.L., T.W.H.L.)
| | - Ho Ko
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Bonnie Yin Ka Lam
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Lisa Wing Chi Au
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Alexander Yuk Lun Lau
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
| | - Junzhe Huang
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Andrew John Kwok
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Xinyi Leng
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Kwok Tak Seng Centre for Stroke Research and Intervention, Hong Kong SAR, China (B.Y.M.I., X.L., T.W.H.L.)
| | - Yuan Cai
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Thomas Wai Hong Leung
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Kwok Tak Seng Centre for Stroke Research and Intervention, Hong Kong SAR, China (B.Y.M.I., X.L., T.W.H.L.)
| | - Vincent Chung Tong Mok
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
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Wardlaw JM, Chabriat H, de Leeuw FE, Debette S, Dichgans M, Doubal F, Jokinen H, Katsanos AH, Ornello R, Pantoni L, Pasi M, Pavlovic AM, Rudilosso S, Schmidt R, Staals J, Taylor-Rowan M, Hussain S, Lindgren AG. European stroke organisation (ESO) guideline on cerebral small vessel disease, part 2, lacunar ischaemic stroke. Eur Stroke J 2024; 9:5-68. [PMID: 38380638 PMCID: PMC10916806 DOI: 10.1177/23969873231219416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/22/2023] [Indexed: 02/22/2024] Open
Abstract
A quarter of ischaemic strokes are lacunar subtype, typically neurologically mild, usually resulting from intrinsic cerebral small vessel pathology, with risk factor profiles and outcome rates differing from other stroke subtypes. This European Stroke Organisation (ESO) guideline provides evidence-based recommendations to assist with clinical decisions about management of lacunar ischaemic stroke to prevent adverse clinical outcomes. The guideline was developed according to ESO standard operating procedures and Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology. We addressed acute treatment (including progressive lacunar stroke) and secondary prevention in lacunar ischaemic stroke, and prioritised the interventions of thrombolysis, antiplatelet drugs, blood pressure lowering, lipid lowering, lifestyle, and other interventions and their potential effects on the clinical outcomes recurrent stroke, dependency, major adverse cardiovascular events, death, cognitive decline, mobility, gait, or mood disorders. We systematically reviewed the literature, assessed the evidence and where feasible formulated evidence-based recommendations, and expert concensus statements. We found little direct evidence, mostly of low quality. We recommend that patients with suspected acute lacunar ischaemic stroke receive intravenous alteplase, antiplatelet drugs and avoid blood pressure lowering according to current acute ischaemic stroke guidelines. For secondary prevention, we recommend single antiplatelet treatment long-term, blood pressure control, and lipid lowering according to current guidelines. We recommend smoking cessation, regular exercise, other healthy lifestyle modifications, and avoid obesity for general health benefits. We cannot make any recommendation concerning progressive stroke or other drugs. Large randomised controlled trials with clinically important endpoints, including cognitive endpoints, are a priority for lacunar ischaemic stroke.
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Affiliation(s)
- Joanna M Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Hugues Chabriat
- CNVT and Department of Neurology, Hopital Lariboisière, Paris, France
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Stéphanie Debette
- Bordeaux Population Health Research Center; University of Bordeaux – Inserm U1219; Bordeaux; Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux University Hospital, Bordeaux, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Medical Center, Munich; Munich Cluster for Systems Neurology (SyNergy), Munich; German Center for Neurodegenerative Diseases (DZNE, Munich), Munich; German Centre for Cardiovascular Research (DZHK, Munich), Munich, Germany
| | - Fergus Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor’s Building, Edinburgh, UK
| | - Hanna Jokinen
- Neurocenter, Helsinki University Hospital and University of Helsinki, HUS, Helsinki, Finland
| | - Aristeidis H Katsanos
- Neurology, McMaster University & Population Health Research Institute, Hamilton, ON, Canada
| | - Raffaele Ornello
- Neurology/Department of Biotechnological ad Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | | | - Marco Pasi
- Department of Neurology, University of Tours, Tours, France
| | - Aleksandra M Pavlovic
- University of Belgrade, Faculty of Special Education and Rehabilitation, Belgrade, Serbia
| | - Salvatore Rudilosso
- Comprehensive Stroke Center, Department of Neurology, Hospital Clínic of Barcelona, Barcelona, Spain
| | | | - Julie Staals
- Department of Neurology and CARIM School for cardiovascular diseases, MUMC+, Maastricht, The Netherlands
| | - Martin Taylor-Rowan
- School of Health and Wellbeing; General Practice and Primary Care, Clarice Pears Building, University of Glasgow, Glasgow, UK
| | | | - Arne G Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University; Department of Neurology, Skåne University Hospital, Lund, Skånes Universitetssjukhus, Lund, Sweden
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Brown RB, Tozer DJ, Egle M, Tuladhar AM, de Leeuw FE, Markus HS. How often does white matter hyperintensity volume regress in cerebral small vessel disease? Int J Stroke 2023; 18:937-947. [PMID: 36988075 PMCID: PMC10507994 DOI: 10.1177/17474930231169132] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/14/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND AND OBJECTIVES It has been suggested that white matter hyperintensity lesions (WMHs), which typically progress over time, can also regress, and that this might be associated with favorable cognitive performance. We determined the prevalence of WMH regression in patients with cerebral small vessel disease (SVD) and examined which demographic, clinical, and radiological markers were associated with this regression. METHODS We used semi-automated lesion marking methods to quantify WMH volume at multiple timepoints in three cohorts with symptomatic SVD; two with moderate-to-severe symptomatic SVD (the SCANS observational cohort and the control arm of the PRESERVE interventional trial) and one with mild-to-moderate SVD (the RUN DMC observational cohort). Mixed-effects ordered logistic regression models were used to test which factors predicted participants to show WMH regression. RESULTS No participants (0/98) in SCANS, 6/42 (14.3%) participants in PRESERVE, and 6/276 (2.2%) in RUN DMC showed WMH regression. On multivariate analysis, only lower WMH volume (OR: 0.36, 95% CI: 0.23-0.56) and better white matter microstructural integrity assessed by fractional anisotropy using diffusion tensor imaging (OR: 1.55, 95% CI: 1.07-2.24) predicted participant classification as regressor versus stable or progressor. DISCUSSION Only a small proportion of participants demonstrated WMH regression across the three cohorts, when a blinded standardized assessment method was used. Subjects who showed regression had less severe imaging markers of disease at baseline. Our results show that lesion regression is uncommon in SVD and unlikely to be a major factor affecting the use of WMH quantification as an outcome for clinical trials.
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Affiliation(s)
- Robin B Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Daniel J Tozer
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Marco Egle
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Anil M Tuladhar
- Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Hugh S Markus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Nash PS, Simister RJ, Wheeler DC, Werring DJ. Hypertension and small vessel disease: do the drugs work? Br J Hosp Med (Lond) 2023; 84:1-11. [PMID: 37769262 DOI: 10.12968/hmed.2023.0092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/30/2023]
Abstract
Associations of hypertension with ischaemic stroke and intracerebral haemorrhage, particularly when attributed to cerebral small vessel disease, are well established. While it seems plausible that treating hypertension should prevent small vessel disease from developing or progressing, there is limited evidence demonstrating this. This article critically appraises the evidence answering this clinical question. Hypertension is also closely associated with chronic kidney disease, with anatomical and functional similarities between the vasculature of the brain and kidneys leading to the hypothesis that shared multi-system pathophysiological processes may be involved. Therefore, the article also summarises data on prevention of progression of chronic kidney disease. Evidence supports a target blood pressure of <130/80 mmHg to optimally prevent progression of both small vessel disease and chronic kidney disease. However, future studies are needed to determine long-term effects of more intensive blood pressure treatment targets on small vessel disease progression and incident dementia.
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Affiliation(s)
- Philip S Nash
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College London, London, UK
- UCL Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK
| | - Rob J Simister
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College London, London, UK
- UCL Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK
| | - David C Wheeler
- Department of Renal Medicine, University College London, London, UK
| | - David J Werring
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College London, London, UK
- UCL Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK
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Rashid T, Li K, Toledo JB, Nasrallah I, Pajewski NM, Dolui S, Detre J, Wolk DA, Liu H, Heckbert SR, Bryan RN, Williamson J, Davatzikos C, Seshadri S, Launer LJ, Habes M. Association of Intensive vs Standard Blood Pressure Control With Regional Changes in Cerebral Small Vessel Disease Biomarkers: Post Hoc Secondary Analysis of the SPRINT MIND Randomized Clinical Trial. JAMA Netw Open 2023; 6:e231055. [PMID: 36857053 PMCID: PMC9978954 DOI: 10.1001/jamanetworkopen.2023.1055] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
IMPORTANCE Little is known about the associations of strict blood pressure (BP) control with microstructural changes in small vessel disease markers. OBJECTIVE To investigate the regional associations of intensive vs standard BP control with small vessel disease biomarkers, such as white matter lesions (WMLs), fractional anisotropy (FA), mean diffusivity (MD), and cerebral blood flow (CBF). DESIGN, SETTING, AND PARTICIPANTS The Systolic Blood Pressure Intervention Trial (SPRINT) is a multicenter randomized clinical trial that compared intensive systolic BP (SBP) control (SBP target <120 mm Hg) vs standard control (SBP target <140 mm Hg) among participants aged 50 years or older with hypertension and without diabetes or a history of stroke. The study began randomization on November 8, 2010, and stopped July 1, 2016, with a follow-up duration of approximately 4 years. A total of 670 and 458 participants completed brain magnetic resonance imaging at baseline and follow-up, respectively, and comprise the cohort for this post hoc analysis. Statistical analyses for this post hoc analysis were performed between August 2020 and October 2022. INTERVENTIONS At baseline, 355 participants received intensive SBP treatment and 315 participants received standard SBP treatment. MAIN OUTCOMES AND MEASURES The main outcomes were regional changes in WMLs, FA, MD (in white matter regions of interest), and CBF (in gray matter regions of interest). RESULTS At baseline, 355 participants (mean [SD] age, 67.7 [8.0] years; 200 men [56.3%]) received intensive BP treatment and 315 participants (mean [SD] age, 67.0 [8.4] years; 199 men [63.2%]) received standard BP treatment. Intensive treatment was associated with smaller mean increases in WML volume compared with standard treatment (644.5 mm3 vs 1258.1 mm3). The smaller mean increases were observed specifically in the deep white matter regions of the left anterior corona radiata (intensive treatment, 30.3 mm3 [95% CI, 16.0-44.5 mm3]; standard treatment, 80.5 mm3 [95% CI, 53.8-107.2 mm3]), left tapetum (intensive treatment, 11.8 mm3 [95% CI, 4.4-19.2 mm3]; standard treatment, 27.2 mm3 [95% CI, 19.4-35.0 mm3]), left superior fronto-occipital fasciculus (intensive treatment, 3.2 mm3 [95% CI, 0.7-5.8 mm3]; standard treatment, 9.4 mm3 [95% CI, 5.5-13.4 mm3]), left posterior corona radiata (intensive treatment, 26.0 mm3 [95% CI, 12.9-39.1 mm3]; standard treatment, 52.3 mm3 [95% CI, 34.8-69.8 mm3]), left splenium of the corpus callosum (intensive treatment, 45.4 mm3 [95% CI, 25.1-65.7 mm3]; standard treatment, 83.0 mm3 [95% CI, 58.7-107.2 mm3]), left posterior thalamic radiation (intensive treatment, 53.0 mm3 [95% CI, 29.8-76.2 mm3]; standard treatment, 106.9 mm3 [95% CI, 73.4-140.3 mm3]), and right posterior thalamic radiation (intensive treatment, 49.5 mm3 [95% CI, 24.3-74.7 mm3]; standard treatment, 102.6 mm3 [95% CI, 71.0-134.2 mm3]). CONCLUSIONS AND RELEVANCE This study suggests that intensive BP treatment, compared with standard treatment, was associated with a slower increase of WMLs, improved diffusion tensor imaging, and FA and CBF changes in several brain regions that represent vulnerable areas that may benefit from more strict BP control. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01206062.
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Affiliation(s)
- Tanweer Rashid
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
| | - Karl Li
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
| | - Jon B. Toledo
- Department of Neurology, University of Florida, Gainesville
- Department of Neurology, Houston Methodist Hospital, Houston, Texas
| | - Ilya Nasrallah
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Nicholas M. Pajewski
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sudipto Dolui
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
| | - John Detre
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - David A. Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Hangfan Liu
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | | | - R. Nick Bryan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
| | - Jeff Williamson
- Section of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Christos Davatzikos
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Sudha Seshadri
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
| | - Lenore J. Launer
- Intramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - Mohamad Habes
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
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7
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Goldstein ED, Garg G, Navarro K, Wolcott Z, Yaghi S, Wong KH, McLean K, de Havenon AH. Statin Usage Increases White Matter Hyperintensities: A Post Hoc Analysis of SPRINT-MIND. Neurologist 2023; 28:94-98. [PMID: 35680399 DOI: 10.1097/nrl.0000000000000448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Progression of white matter hyperintensities (WMHs), a radiographic marker of cerebral small vessel disease, occurs with uncontrolled conventional cerebrovascular risk factors. Less certain, however, is the influence of dyslipidemia and the impact of 3-hydroxy-3-methylglutaryl-coenzyme-A reductase inhibitors (statins) on WMH progression. The goal of this study was to evaluate the influence of statins on the progression of WMH over a 4-year interval. METHODS We performed a post hoc analysis of the SPRINT-MIND database on those with serial volumetric WMH data. WMH progression was calculated as the difference in WMH volume between the 2 scans and then segmented into tertiles due to rightward skew. We defined statin usage as no therapy (0% of visits), partial therapy (1% to 99% of visits) or full therapy (100% of visits) as logged during study visits. Analysis of variance and χ 2 tests were used for continuous and categorical variables with adjustments made for variables known to influence WMH development. RESULTS A total of 425 individuals were included in this study: 53% without statins use, 27% partial use, and 20% full use. Demographic characteristics and baseline WMH volumes were similar among the cohort. Those with full statin use were significantly more likely to be in the top tertile of WMH progression (adjusted odds ratio: 2.30, 95% confidence interval: 1.11-4.77, P =0.025), despite improvement in dyslipidemia. CONCLUSIONS SPRINT-MIND participants prescribed a statin were nearly 2.5 times more likely to be within the top tertile of WMH progression over 4 years, despite adjustment for synergistic risk factors and improvement in low-density lipoprotein.
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Affiliation(s)
- Eric D Goldstein
- Division of Stroke and Cerebrovascular Diseases, Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Gauri Garg
- Division of Vascular Neurology, Department of Neurology, University of Utah, Salt Lake City
| | - Kayla Navarro
- Division of Vascular Neurology, Department of Neurology, University of Utah, Salt Lake City
| | - Zoe Wolcott
- Division of Vascular Neurology, Department of Neurology, University of Utah, Salt Lake City
| | - Shadi Yaghi
- Division of Stroke and Cerebrovascular Diseases, Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Ka-Ho Wong
- Division of Vascular Neurology, Department of Neurology, University of Utah, Salt Lake City
| | - Kaitlin McLean
- Division of Vascular Neurology, Department of Neurology, University of Utah, Salt Lake City
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8
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Abstract
Hypertension affects a significant proportion of the adult and aging population and represents an important risk factor for vascular cognitive impairment and late-life dementia. Chronic high blood pressure continuously challenges the structural and functional integrity of the cerebral vasculature, leading to microvascular rarefaction and dysfunction, and neurovascular uncoupling that typically impairs cerebral blood supply. Hypertension disrupts blood-brain barrier integrity, promotes neuroinflammation, and may contribute to amyloid deposition and Alzheimer pathology. The mechanisms underlying these harmful effects are still a focus of investigation, but studies in animal models have provided significant molecular and cellular mechanistic insights. Remaining questions relate to whether adequate treatment of hypertension may prevent deterioration of cognitive function, the threshold for blood pressure treatment, and the most effective antihypertensive drugs. Recent advances in neurovascular biology, advanced brain imaging, and detection of subtle behavioral phenotypes have begun to provide insights into these critical issues. Importantly, a parallel analysis of these parameters in animal models and humans is feasible, making it possible to foster translational advancements. In this review, we provide a critical evaluation of the evidence available in experimental models and humans to examine the progress made and identify remaining gaps in knowledge.
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Affiliation(s)
| | - Costantino Iadecola
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY
| | - Daniela Carnevale
- Department of Molecular Medicine, “Sapienza” University of Rome, Italy
- Research Unit of Neuro and Cardiovascular Pathophysiology, IRCCS Neuromed, Pozzilli, Italy
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9
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Abstract
Cerebral small vessel disease (SVD) causes lacunar stroke and intracerebral hemorrhage, and is the most common pathology underlying vascular cognitive impairment. Increasingly, the importance of other clinical features of SVD is being recognized including motor impairment, (vascular) parkinsonism, impaired balance, falls, and behavioral symptoms, such as depression, apathy, and personality change. Epidemiological data show a high prevalence of the characteristic magnetic resonance imaging (MRI) features of white matter hyperintensities and lacunar infarcts in community studies, and recent data suggest that it is also a major health burden in low- and middle-income countries. In this review, we cover advances in diagnosis, imaging, clinical presentations, pathogenesis, and treatment.The two most common pathologies underlying SVD are arteriolosclerosis caused by aging, hypertension, and other conventional vascular risk factors, and cerebral amyloid angiopathy (CAA) caused by vascular deposition of β-amyloid. We discuss the revised Boston criteria of CAA based on MRI features, which have been recently validated. Imaging is providing important insights into pathogenesis, including improved detection of tissue damage using diffusion tensor imaging (DTI) leading to its use to monitor progression and surrogate endpoints in clinical trials. Advanced MRI techniques can demonstrate functional or dynamic abnormalities of the blood vessels, while the high spatial resolution provided by ultrahigh field MRI at 7 T allows imaging of individual perforating arteries for the first time, and the measurement of flow velocity and pulsatility within these arteries. DTI and structural network analysis have highlighted the importance of network disruption in mediating the effect of different SVD pathologies in causing a number of symptoms, including cognitive impairment, apathy, and gait disturbance.Despite the public health importance of SVD, there are few proven treatments. We review the evidence for primary prevention, and recent data showing how intensive blood pressure lowering reduces white matter hyperintensities (WMH) progression and delays the onset of cognitive impairment. There are few treatments for secondary prevention, but a number of trials are currently evaluating novel treatment approaches. Recent advances have implicated molecular processes related to endothelial dysfunction, nitric oxide synthesis, blood-brain barrier integrity, maintenance and repair of the extracellular matrix, and inflammation. Novel treatment approaches are being developed to a number of these targets. Finally, we highlight the importance of large International collaborative initiatives in SVD to address important research questions and cover a number which have recently been established.
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Affiliation(s)
- Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Frank Erik de Leeuw
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands.,Center for Medical Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
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10
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Saiz LC, Gorricho J, Garjón J, Celaya MC, Erviti J, Leache L. Blood pressure targets for the treatment of people with hypertension and cardiovascular disease. Cochrane Database Syst Rev 2022; 11:CD010315. [PMID: 36398903 PMCID: PMC9673465 DOI: 10.1002/14651858.cd010315.pub5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND This is the third update of the review first published in 2017. Hypertension is a prominent preventable cause of premature morbidity and mortality. People with hypertension and established cardiovascular disease are at particularly high risk, so reducing blood pressure to below standard targets may be beneficial. This strategy could reduce cardiovascular mortality and morbidity but could also increase adverse events. The optimal blood pressure target in people with hypertension and established cardiovascular disease remains unknown. OBJECTIVES To determine if lower blood pressure targets (systolic/diastolic 135/85 mmHg or less) are associated with reduction in mortality and morbidity compared with standard blood pressure targets (140 mmHg to 160mmHg/90 mmHg to 100 mmHg or less) in the treatment of people with hypertension and a history of cardiovascular disease (myocardial infarction, angina, stroke, peripheral vascular occlusive disease). SEARCH METHODS For this updated review, we used standard, extensive Cochrane search methods. The latest search date was January 2022. We applied no language restrictions. SELECTION CRITERIA We included randomized controlled trials (RCTs) with more than 50 participants per group that provided at least six months' follow-up. Trial reports had to present data for at least one primary outcome (total mortality, serious adverse events, total cardiovascular events, cardiovascular mortality). Eligible interventions involved lower targets for systolic/diastolic blood pressure (135/85 mmHg or less) compared with standard targets for blood pressure (140 mmHg to 160 mmHg/90 mmHg to 100 mmHg or less). Participants were adults with documented hypertension and adults receiving treatment for hypertension with a cardiovascular history for myocardial infarction, stroke, chronic peripheral vascular occlusive disease, or angina pectoris. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. We used GRADE to assess the certainty of the evidence. MAIN RESULTS We included seven RCTs that involved 9595 participants. Mean follow-up was 3.7 years (range 1.0 to 4.7 years). Six of seven RCTs provided individual participant data. None of the included studies was blinded to participants or clinicians because of the need to titrate antihypertensive drugs to reach a specific blood pressure goal. However, an independent committee blinded to group allocation assessed clinical events in all trials. Hence, we assessed all trials at high risk of performance bias and low risk of detection bias. We also considered other issues, such as early termination of studies and subgroups of participants not predefined, to downgrade the certainty of the evidence. We found there is probably little to no difference in total mortality (risk ratio (RR) 1.05, 95% confidence interval (CI) 0.91 to 1.23; 7 studies, 9595 participants; moderate-certainty evidence) or cardiovascular mortality (RR 1.03, 95% CI 0.82 to 1.29; 6 studies, 9484 participants; moderate-certainty evidence). Similarly, we found there may be little to no differences in serious adverse events (RR 1.01, 95% CI 0.94 to 1.08; 7 studies, 9595 participants; low-certainty evidence) or total cardiovascular events (including myocardial infarction, stroke, sudden death, hospitalization, or death from congestive heart failure (CHF)) (RR 0.89, 95% CI 0.80 to 1.00; 7 studies, 9595 participants; low-certainty evidence). The evidence was very uncertain about withdrawals due to adverse effects. However, studies suggest more participants may withdraw due to adverse effects in the lower target group (RR 8.16, 95% CI 2.06 to 32.28; 3 studies, 801 participants; very low-certainty evidence). Systolic and diastolic blood pressure readings were lower in the lower target group (systolic: mean difference (MD) -8.77 mmHg, 95% CI -12.82 to -4.73; 7 studies, 8657 participants; diastolic: MD -4.50 mmHg, 95% CI -6.35 to -2.65; 6 studies, 8546 participants). More drugs were needed in the lower target group (MD 0.56, 95% CI 0.16 to 0.96; 5 studies, 7910 participants), but blood pressure targets at one year were achieved more frequently in the standard target group (RR 1.20, 95% CI 1.17 to 1.23; 7 studies, 8699 participants). AUTHORS' CONCLUSIONS We found there is probably little to no difference in total mortality and cardiovascular mortality between people with hypertension and cardiovascular disease treated to a lower compared to a standard blood pressure target. There may also be little to no difference in serious adverse events or total cardiovascular events. This suggests that no net health benefit is derived from a lower systolic blood pressure target. We found very limited evidence on withdrawals due to adverse effects, which led to high uncertainty. At present, evidence is insufficient to justify lower blood pressure targets (135/85 mmHg or less) in people with hypertension and established cardiovascular disease. Several trials are still ongoing, which may provide an important input to this topic in the near future.
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Affiliation(s)
- Luis Carlos Saiz
- Unit of Innovation and Organization, Navarre Health Service, Pamplona, Spain
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Javier Gorricho
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
- Healthcare Business Intelligence Service, Navarre Health Service, Pamplona, Spain
| | - Javier Garjón
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
- Medicines Advice and Information Service, Navarre Health Service, Pamplona, Spain
| | - Mª Concepción Celaya
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
- Drug Prescribing Service, Navarre Health Service, Pamplona, Spain
| | - Juan Erviti
- Unit of Innovation and Organization, Navarre Health Service, Pamplona, Spain
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Leire Leache
- Unit of Innovation and Organization, Navarre Health Service, Pamplona, Spain
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
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11
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Pflanz CP, Egle MS, O'Brien JT, Morris RG, Barrick TR, Blamire AM, Ford GA, Tozer D, Markus HS. Association of Blood Pressure Lowering Intensity With White Matter Network Integrity in Patients With Cerebral Small Vessel Disease. Neurology 2022; 99:e1945-e1953. [PMID: 35977831 PMCID: PMC9620809 DOI: 10.1212/wnl.0000000000201018] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 06/13/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Diffusion tensor imaging (DTI) networks integrate damage from a variety of pathologic processes in cerebral small vessel disease (SVD) and may be a sensitive marker to detect treatment effects. We determined whether brain network analysis could detect treatment effects in the PRESERVE trial data set, in which intensive vs standard blood pressure (BP) lowering was compared. The primary end point of DTI had not shown treatment differences. METHODS Participants with lacunar stroke were randomized to standard (systolic 130-140 mm Hg) or intensive (systolic ≤ 125 mm Hg) BP lowering and followed for 2 years with MRI at baseline and at 2 years. Graph theory-based metrics were derived from DTI data to produce a measure of network integrity weighted global efficiency and compared with individual MRI markers of DTI, brain volume, and white matter hyperintensities. RESULTS Data were available in 82 subjects: standard n = 40 (mean age 66.3 ± 1.5 years) and intensive n = 42 (mean age 69.6 ± 1.0 years). The mean (SD) systolic BP was reduced by 13(14) and 23(23) mm Hg in the standard and intensive groups, respectively (p < 0.001 between groups). Significant differences in diffusion network metrics were found, with improved network integrity (weighted global efficiency, p = 0.002) seen with intensive BP lowering. In contrast, there were no significant differences in individual MRI markers including DTI histogram metrics, brain volume, or white matter hyperintensities. DISCUSSION Brain network analysis may be a sensitive surrogate marker in trials in SVD. This work suggests that measures of brain network efficiency may be more sensitive to the effects of BP control treatment than conventional DTI metrics. TRIAL REGISTRATION INFORMATION The trial is registered with the ISRCTN Registry (ISRCTN37694103; doi.org/10.1186/ISRCTN37694103) and the NIHR Clinical Research Network (CRN 10962; public-odp.nihr.ac.uk/QvAJAXZfc/opendoc.htm?document=crncc_users%5Cfind%20a%20clinical%20research%20study.qvw&lang=en-US&host=QVS%40crn-prod-odp-pu&anonymous=true). CLASSIFICATION OF EVIDENCE This study provides Class II evidence that intensive BP lowering in patients with SVD results in improved brain network function when assessed by DTI-based brain network metrics.
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Affiliation(s)
- Chris Patrick Pflanz
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.)
| | - Marco S Egle
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.)
| | - John T O'Brien
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.)
| | - Robin G Morris
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.)
| | - Thomas R Barrick
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.)
| | - Andrew M Blamire
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.)
| | - Gary A Ford
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.)
| | - Daniel Tozer
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.)
| | - Hugh S Markus
- From the Stroke Research Group (C.P.P., M.S.E., D.T., H.S.M.), Department of Clinical Neuroscience, University of Cambridge; Department of Psychiatry (J.T.O.B.), University of Cambridge; Kings College Institute of Psychiatry (R.G.M.), Psychology and Neurosciences, London, UK; Molecular and Clinical Science Research Institute (T.R.B.), St George's, University of London, UK; Magnetic Resonance Centre (A.M.B.), Institute of Cellular Medicine, Newcastle University, UK; and Oxford University Hospitals NHS Foundation Trust & University of Oxford (G.A.F.).
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12
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Controversies in Hypertension II: The Optimal Target Blood Pressure. Am J Med 2022; 135:1168-1177.e3. [PMID: 35636475 DOI: 10.1016/j.amjmed.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 11/22/2022]
Abstract
The optimal target blood pressure in the treatment of hypertension is undefined. Whether more intense therapy is better than standard, typically <140/90 mm Hg, is controversial. The most recent American guidelines recommend ≤130/80 mm Hg for essentially all adults. There have been at least 28 trials targeting more versus less intensive therapy, including 13 aimed at reducing cardiovascular events and mortality, 11 restricted to patients with chronic kidney disease, and 4 with surrogate endpoints. We review these trials in a narrative fashion due to significant heterogeneity in targets chosen, populations studied, and primary endpoints. Most were negative, although some showed significant benefit to more intense therapy. When determining the optimal pressure for an individual patient, additional factors should be considered, including age, frailty, polypharmacy, baseline blood pressure, and the diastolic blood pressure J-curve. We discuss these modifying factors in detail. Whereas the tenet "lower is better" is generally true, one size does not fit all, and blood pressure control must be individualized.
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13
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da Silva PHR, Paschoal AM, Secchinatto KF, Zotin MCZ, Dos Santos AC, Viswanathan A, Pontes-Neto OM, Leoni RF. Contrast agent-free state-of-the-art magnetic resonance imaging on cerebral small vessel disease - Part 2: Diffusion tensor imaging and functional magnetic resonance imaging. NMR IN BIOMEDICINE 2022; 35:e4743. [PMID: 35429070 DOI: 10.1002/nbm.4743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
Cerebral small vessel disease (cSVD) has been widely studied using conventional magnetic resonance imaging (MRI) methods, although the association between MRI findings and clinical features of cSVD is not always concordant. We assessed the additional contribution of contrast agent-free, state-of-the-art MRI techniques, particularly diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI), to understand brain damage and structural and functional connectivity impairment related to cSVD. We performed a review following the PICOS worksheet and Search Strategy, including 152 original papers in English, published from 2000 to 2022. For each MRI method, we extracted information about their contributions regarding the origins, pathology, markers, and clinical outcomes in cSVD. In general, DTI studies have shown that changes in mean, radial, and axial diffusivity measures are related to the presence of cSVD. In addition to the classical deficit in executive functions and processing speed, fMRI studies indicate connectivity dysfunctions in other domains, such as sensorimotor, memory, and attention. Neuroimaging metrics have been correlated with the diagnosis, prognosis, and rehabilitation of patients with cSVD. In short, the application of contrast agent-free, state-of-the-art MRI techniques has provided a complete picture of cSVD markers and tools to explore questions that have not yet been clarified about this clinical condition. Longitudinal studies are desirable to look for causal relationships between image biomarkers and clinical outcomes.
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Affiliation(s)
| | - André Monteiro Paschoal
- Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Maria Clara Zanon Zotin
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Antônio Carlos Dos Santos
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Anand Viswanathan
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Octavio M Pontes-Neto
- Department of Neurosciences and Behavioral Science, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Renata Ferranti Leoni
- Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
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14
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Shihab S, Boucher RE, Abraham N, Wei G, Beddhu S. Influence of Baseline Diastolic Blood Pressure on the Effects of Intensive Systolic Blood Pressure Lowering on the Risk of Stroke. Hypertension 2022; 79:785-793. [PMID: 35114798 PMCID: PMC8917090 DOI: 10.1161/hypertensionaha.121.18172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 01/07/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Guidelines recommend lowering systolic blood pressure below 130 mm Hg, irrespective of previous strokes. However, there is a concern that lowering systolic blood pressure in people with low baseline diastolic blood pressure might increase the risk of stroke. METHODS We conducted a secondary analysis of the Secondary Prevention of Small Subcortical Strokes trial that randomly assigned participants with a history of subcortical strokes to an intensive (<130 mm Hg; N=1519) or standard (130-149 mm Hg; N=1501) systolic targets. We examined the effects of blood pressure intervention on stroke and cardiovascular composite across the range of baseline diastolic blood pressure in spline regression models and tested for interaction of baseline diastolic blood pressure with the intervention on outcomes. RESULTS Mean baseline systolic and diastolic blood pressures were 143±19 and 78±11 mm Hg, respectively. Within each baseline diastolic blood pressure tertile, the achieved diastolic was lower in the intensive versus standard arm. There were 275 stroke events over 10 889 years of follow-up. Lower baseline diastolic blood pressure was associated with increased risk of stroke in an observational spline regression model. Hazard ratios relating blood pressure intervention with the risk of stroke in the lowest (hazard ratio, 0.78 [95% CI, 0.52-1.16]) and the highest (hazard ratio, 0.80 [95% CI, 0.53-1.21]) baseline diastolic tertiles were similar (P=0.95). Results were similar for the cardiovascular composite. CONCLUSIONS Intensive systolic control does not appear to increase the risk of stroke in those with low baseline diastolic blood pressure and prior stroke. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT00059306.
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Affiliation(s)
- Saeed Shihab
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT
| | - Robert E. Boucher
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT
| | - Nikita Abraham
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT
| | - Guo Wei
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT
| | - Srinivasan Beddhu
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT
- Medical Service, Veterans Affairs Salt Lake City Health Care System
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15
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Abstract
High blood pressure (BP) is detrimental to brain health. High BP contributes to cognitive impairment and dementia through pathways independent of clinical stroke. Emerging evidence shows that the deleterious effect of high BP on cognition occurs across the life span, increasing the risk for early-onset and late-life dementia. The term vascular cognitive impairment includes cognitive disorders associated with cerebrovascular disease, regardless of the pathogenesis. This focused report is a narrative review that aims to summarize the epidemiology of BP and vascular cognitive impairment, including differences by sex, race, and ethnicity, as well as the management and reversibility of BP and vascular cognitive impairment. It also discusses knowledge gaps and future directions.
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Affiliation(s)
- Deborah A. Levine
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan (U-M), Ann Arbor, MI
- Department of Neurology and Stroke Program, U-M, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, U-M, Ann Arbor, MI
| | - Mellanie V. Springer
- Department of Neurology and Stroke Program, U-M, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, U-M, Ann Arbor, MI
| | - Amy Brodtmann
- The Florey Institute of Neuroscience and Mental Health, Royal Melbourne Hospital, University of Melbourne, Australia
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16
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Egle M, Hilal S, Tuladhar AM, Pirpamer L, Bell S, Hofer E, Duering M, Wason J, Morris RG, Dichgans M, Schmidt R, Tozer DJ, Barrick TR, Chen C, de Leeuw FE, Markus HS. Determining the OPTIMAL DTI analysis method for application in cerebral small vessel disease. NEUROIMAGE: CLINICAL 2022; 35:103114. [PMID: 35908307 PMCID: PMC9421487 DOI: 10.1016/j.nicl.2022.103114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 05/24/2022] [Accepted: 07/10/2022] [Indexed: 11/23/2022] Open
Abstract
We were not able to identify a single optimal diffusion-weighted imaging analysis strategy across all 6 cohorts. Diffusion tensor imaging measures at baseline predicted dementia conversion in cerebral small vessel disease and mild cognitive impairment. Diffusion tensor imaging measures at baseline may be sensitive to differentiate between later vascular dementia vs Alzheimer’s disease dementia. Diffusion tensor imaging measures significantly changed over time in cohorts with cerebral small vessel disease and cohorts with mild cognitive impairment. Change in diffusion tensor imaging measures were only consistently associated with dementia conversion in severe SVD. The diffusion tensor imaging measures PSMD and DSEG required the lowest minimum sample sizes for a hypothetical clinical trial in patients with sporadic cerebral small vessel disease and mild cognitive impairment.
Background DTI is sensitive to white matter (WM) microstructural damage and has been suggested as a surrogate marker for phase 2 clinical trials in cerebral small vessel disease (SVD). The study’s objective is to establish the best way to analyse the diffusion-weighted imaging data in SVD for this purpose. The ideal method would be sensitive to change and predict dementia conversion, but also straightforward to implement and ideally automated. As part of the OPTIMAL collaboration, we evaluated five different DTI analysis strategies across six different cohorts with differing SVD severity. Methods Those 5 strategies were: (1) conventional mean diffusivity WM histogram measure (MD median), (2) a principal component-derived measure based on conventional WM histogram measures (PC1), (3) peak width skeletonized mean diffusivity (PSMD), (4) diffusion tensor image segmentation θ (DSEG θ) and (5) a WM measure of global network efficiency (Geff). The association between each measure and cognitive function was tested using a linear regression model adjusted by clinical markers. Changes in the imaging measures over time were determined. In three cohort studies, repeated imaging data together with data on incident dementia were available. The association between the baseline measure, change measure and incident dementia conversion was examined using Cox proportional-hazard regression or logistic regression models. Sample size estimates for a hypothetical clinical trial were furthermore computed for each DTI analysis strategy. Results There was a consistent cross-sectional association between the imaging measures and impaired cognitive function across all cohorts. All baseline measures predicted dementia conversion in severe SVD. In mild SVD, PC1, PSMD and Geff predicted dementia conversion. In MCI, all markers except Geff predicted dementia conversion. Baseline DTI was significantly different in patients converting to vascular dementia than to Alzheimer’ s disease. Significant change in all measures was associated with dementia conversion in severe but not in mild SVD. The automatic and semi-automatic measures PSMD and DSEG θ required the lowest minimum sample sizes for a hypothetical clinical trial in single-centre sporadic SVD cohorts. Conclusion DTI parameters obtained from all analysis methods predicted dementia, and there was no clear winner amongst the different analysis strategies. The fully automated analysis provided by PSMD offers advantages particularly for large datasets.
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Affiliation(s)
- Marco Egle
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore; Memory Ageing and Cognition Center, National University Health System, Singapore
| | - Anil M Tuladhar
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Steven Bell
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Edith Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - James Wason
- Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Newcastle Upon Tyne, United Kingdom
| | - Robin G Morris
- Department of Psychology (R.G.M.), King's College, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Daniel J Tozer
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Thomas R Barrick
- Neurosciences Research Centre, Institute for Molecular and Clinical Sciences, St George's, University of London, United Kingdom
| | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore; Memory Ageing and Cognition Center, National University Health System, Singapore
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
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17
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Quinn TJ, Richard E, Teuschl Y, Gattringer T, Hafdi M, O'Brien JT, Merriman N, Gillebert C, Huygelier H, Verdelho A, Schmidt R, Ghaziani E, Forchammer H, Pendlebury ST, Bruffaerts R, Mijajlovic M, Drozdowska BA, Ball E, Markus HS. European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment. Eur J Neurol 2021; 28:3883-3920. [PMID: 34476868 DOI: 10.1111/ene.15068] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 08/13/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE The optimal management of post-stroke cognitive impairment (PSCI) remains controversial. These joint European Stroke Organisation (ESO) and European Academy of Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making regarding prevention, diagnosis, treatment and prognosis. METHODS Guidelines were developed according to the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews, assessed the quality of the available evidence, and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available to provide recommendations. RESULTS There was limited randomized controlled trial (RCT) evidence regarding single or multicomponent interventions to prevent post-stroke cognitive decline. Lifestyle interventions and treating vascular risk factors have many health benefits, but a cognitive effect is not proven. We found no evidence regarding routine cognitive screening following stroke, but recognize the importance of targeted cognitive assessment. We describe the accuracy of various cognitive screening tests, but found no clearly superior approach to testing. There was insufficient evidence to make a recommendation for use of cholinesterase inhibitors, memantine nootropics or cognitive rehabilitation. There was limited evidence on the use of prediction tools for post-stroke cognition. The association between PSCI and acute structural brain imaging features was unclear, although the presence of substantial white matter hyperintensities of presumed vascular origin on brain magnetic resonance imaging may help predict cognitive outcomes. CONCLUSIONS These guidelines highlight fundamental areas where robust evidence is lacking. Further definitive RCTs are needed, and we suggest priority areas for future research.
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Affiliation(s)
- Terence J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Edo Richard
- Department of Neurology, Donders Institute for Brain, Behaviour and Cognition, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Yvonne Teuschl
- Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria
| | - Thomas Gattringer
- Department of Neurology and Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Melanie Hafdi
- Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Niamh Merriman
- Department of Health Psychology, Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Celine Gillebert
- Department Brain and Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium.,TRACE, Centre for Translational Psychological Research (TRACE), KU Leuven - Hospital East-Limbourgh, Genk, Belgium
| | - Hanne Huygelier
- Department Brain and Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium.,TRACE, Centre for Translational Psychological Research (TRACE), KU Leuven - Hospital East-Limbourgh, Genk, Belgium
| | - Ana Verdelho
- Department of Neurosciences and Mental Health, Hospital de Santa Maria, Lisbon, Portugal
| | - Reinhold Schmidt
- Department of Neurology and Medical University of Graz, Graz, Austria
| | - Emma Ghaziani
- Department of Physical and Occupational Therapy, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | | | - Sarah T Pendlebury
- Departments of Medicine and Geratology and NIHR Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Rose Bruffaerts
- Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Milija Mijajlovic
- Neurosonology Unit, Neurology Clinic, University Clinical Center of Serbia and Faculty of Medicine University of Belgrade, Belgrade, Serbia
| | - Bogna A Drozdowska
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Emily Ball
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Hugh S Markus
- Stroke Research group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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18
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Quinn TJ, Richard E, Teuschl Y, Gattringer T, Hafdi M, O’Brien JT, Merriman N, Gillebert C, Huyglier H, Verdelho A, Schmidt R, Ghaziani E, Forchammer H, Pendlebury ST, Bruffaerts R, Mijajlovic M, Drozdowska BA, Ball E, Markus HS. European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment. Eur Stroke J 2021; 6:I-XXXVIII. [PMID: 34746430 PMCID: PMC8564156 DOI: 10.1177/23969873211042192] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 01/14/2023] Open
Abstract
The optimal management of post-stroke cognitive impairment remains controversial. These joint European Stroke Organisation (ESO) and European Academy of Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making around prevention, diagnosis, treatment and prognosis. These guidelines were developed according to ESO standard operating procedure and the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews and, where possible, meta-analyses of the literature, assessed the quality of the available evidence and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available to provide recommendations based on the GRADE approach. There was limited randomised controlled trial evidence regarding single or multicomponent interventions to prevent post-stroke cognitive decline. Interventions to improve lifestyle and treat vascular risk factors may have many health benefits but a beneficial effect on cognition is not proven. We found no evidence around routine cognitive screening following stroke but recognise the importance of targeted cognitive assessment. We described the accuracy of various cognitive screening tests but found no clearly superior approach to testing. There was insufficient evidence to make a recommendation for use of cholinesterase inhibitors, memantine nootropics or cognitive rehabilitation. There was limited evidence on the use of prediction tools for post-stroke cognitive syndromes (cognitive impairment, dementia and delirium). The association between post-stroke cognitive impairment and most acute structural brain imaging features was unclear, although the presence of substantial white matter hyperintensities of presumed vascular origin on acute MRI brain may help predict cognitive outcomes. These guidelines have highlighted fundamental areas where robust evidence is lacking. Further, definitive randomised controlled trials are needed, and we suggest priority areas for future research.
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Affiliation(s)
- Terence J Quinn
- Institute of Cardiovascular and
Medical Sciences, University of Glasgow, Glasgow, UK
| | - Edo Richard
- Department of Neurology, Donders
Institute for Brain, Behaviour and Cognition, Radboud University Medical
Centre, Nijmegen, The Netherlands
| | - Yvonne Teuschl
- Department for Clinical
Neurosciences and Preventive Medicine, Danube University Krems, der Donau, Austria
| | - Thomas Gattringer
- Department of Neurology and
Division of Neuroradiology, Vascular and Interventional Radiology, Department of
Radiology, Medical University of
Graz, Graz, Austria
| | - Melanie Hafdi
- Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - John T O’Brien
- Department of Psychiatry, University of Cambridge School of
Clinical Medicine, Cambridge, UK
| | - Niamh Merriman
- Deptartment of Health Psychology,
Division of Population Health Sciences, Royal College of Surgeons in
Ireland, Dublin, Ireland
| | - Celine Gillebert
- Department Brain & Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium
- TRACE, Centre for Translational
Psychological Research (TRACE), KU Leuven – Hospital
East-Limbourgh, Genk, Belgium
| | - Hanne Huyglier
- Department Brain & Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium
- TRACE, Centre for Translational
Psychological Research (TRACE), KU Leuven – Hospital
East-Limbourgh, Genk, Belgium
| | - Ana Verdelho
- Department of Neurosciences and
Mental Health, Hospital de Santa Maria, Lisbon, Portugal
| | - Reinhold Schmidt
- Department of Neurology, Medical University of
Graz, Graz, Austria
| | - Emma Ghaziani
- Department of Physical and
Occupational Therapy, Bispebjerg and Frederiksberg
Hospital, Copenhagen, Denmark
| | | | - Sarah T Pendlebury
- Departments of Medicine and
Geratology and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals NHS
Foundation Trust, Oxford, UK
| | - Rose Bruffaerts
- Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - Milija Mijajlovic
- Neurosonology Unit, Neurology
Clinic, University Clinical Center of Serbia
and Faculty of Medicine University of Belgrade, Belgrade, Serbia
| | - Bogna A Drozdowska
- Institute of Cardiovascular and
Medical Sciences, University of Glasgow, Glasgow, UK
| | - Emily Ball
- Centre for Clinical Brain
Sciences, University of Edinburgh, Edinburgh, Scotland
| | - Hugh S Markus
- Stroke Research Group, Department
of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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