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Aamodt EB, Schellhorn T, Stage E, Sanjay AB, Logan PE, Svaldi DO, Apostolova LG, Saltvedt I, Beyer MK. Predicting the Emergence of Major Neurocognitive Disorder Within Three Months After a Stroke. Front Aging Neurosci 2021; 13:705889. [PMID: 34489676 PMCID: PMC8418065 DOI: 10.3389/fnagi.2021.705889] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/26/2021] [Indexed: 01/20/2023] Open
Abstract
Background: Neurocognitive disorder (NCD) is common after stroke, with major NCD appearing in about 10% of survivors of a first-ever stroke. We aimed to classify clinical- and imaging factors related to rapid development of major NCD 3 months after a stroke, so as to examine the optimal composition of factors for predicting rapid development of the disorder. We hypothesized that the prediction would mainly be driven by neurodegenerative as opposed to vascular brain changes. Methods: Stroke survivors from five Norwegian hospitals were included from the "Norwegian COgnitive Impairment After STroke" (Nor-COAST) study. A support vector machine (SVM) classifier was trained to distinguish between patients who developed major NCD 3 months after the stroke and those who did not. Potential predictor factors were based on previous literature and included both vascular and neurodegenerative factors from clinical and structural magnetic resonance imaging findings. Cortical thickness was obtained via FreeSurfer segmentations, and volumes of white matter hyperintensities (WMH) and stroke lesions were semi-automatically gathered using FSL BIANCA and ITK-SNAP, respectively. The predictive value of the classifier was measured, compared between classifier models and cross-validated. Results: Findings from 227 stroke survivors [age = 71.7 (11.3), males = (56.4%), stroke severity NIHSS = 3.8 (4.8)] were included. The best predictive accuracy (AUC = 0.876) was achieved by an SVM classifier with 19 features. The model with the fewest number of features that achieved statistically comparable accuracy (AUC = 0.850) was the 8-feature model. These features ranked by their weighting were; stroke lesion volume, WMH volume, left occipital and temporal cortical thickness, right cingulate cortical thickness, stroke severity (NIHSS), antiplatelet medication intake, and education. Conclusion: The rapid (<3 months) development of major NCD after stroke is possible to predict with an 87.6% accuracy and seems dependent on both neurodegenerative and vascular factors, as well as aspects of the stroke itself. In contrast to previous literature, we also found that vascular changes are more important than neurodegenerative ones. Although possible to predict with relatively high accuracy, our findings indicate that the development of rapid onset post-stroke NCD may be more complex than earlier suggested.
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Affiliation(s)
- Eva Birgitte Aamodt
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Till Schellhorn
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Edwin Stage
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Apoorva Bharthur Sanjay
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Paige E Logan
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Diana Otero Svaldi
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Liana G Apostolova
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Department of Geriatrics, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Mona Kristiansen Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Interactions Between Acute Infarcts and Cerebrovascular Pathology Predict Poststroke Dementia. Alzheimer Dis Assoc Disord 2021; 34:206-211. [PMID: 32483018 DOI: 10.1097/wad.0000000000000384] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Chronic cerebrovascular pathology accelerates the incidence of poststroke dementia (PSD). Whether the risk of PSD varies according to different types of chronic cerebrovascular pathology remains unclear. OBJECTIVES We investigated whether PSD is associated with a unique pattern of interactions between chronic cerebrovascular pathologies and acute stroke lesions. MATERIALS AND METHOD In this case-control study of acute mild stroke patients (n=185), cases included patients who developed PSD at a 6-month poststroke follow-up, and controls included patients who remained nondemented at 6 months, matched on prestroke cognitive status. Magnetic resonance imaging was performed at initial stroke presentation; neuropsychological assessments were performed 6 months after the stroke. RESULTS White matter hyperintensities (WMH), chronic lacunes, microbleeds, and acute infarcts were not associated with PSD after controlling for demographics, cardiovascular risk, and global cortical atrophy. The risk of PSD was largest for patients with acute large subcortical infarcts (>15 mm) and concomitant periventricular WMH compared with patients with large subcortical infarcts and punctate/absent periventricular WMH [odds ratio (OR)=5.85, 95% confidence interval (CI)=1.85-40.04]. A moderate risk of PSD was observed for patients with acute multiple small infarcts (3 to 15 mm) and concomitant lacunes (OR=2.48, 95% CI=0.94-6.51) or concomitant lobar microbleeds (OR=2.20, 95% CI=0.89-5.41), compared with patients with acute multiple small infarcts and absent lacunes or microbleeds. Single small infarcts did not interact with cerebrovascular pathology to affect PSD. CONCLUSIONS The risk of PSD varies depending on the presence of chronic cerebrovascular pathologies and type of acute infarcts. Clinical implications support a precision medicine approach for stratifying those at highest risk of PSD.
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Sung PS, Lee KP, Lin PY, Su HC, Yu RL, Tsai KJ, Lin SH, Chen CH. Factors Associated with Cognitive Outcomes After First-Ever Ischemic Stroke: The Impact of Small Vessel Disease Burden and Neurodegeneration. J Alzheimers Dis 2021; 83:569-579. [PMID: 34334409 DOI: 10.3233/jad-210587] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Differences exist regarding post-stroke cognitive outcomes. OBJECTIVE The aim of this study investigates the potential factors associated with post-stroke cognitive performance and trajectories. METHODS We performed a prospective cohort study using serial monitoring of cognitive function over a 1-year period after a first-ever ischemic stroke. Small vessel disease (SVD) burden and hippocampal atrophy (HA) were evaluated using the modified cerebral small vessel disease scores (mCSVD) and medial temporal atrophy score (MTA) scores. A generalized estimating equation (GEE) model and a group-based trajectory model (GBTM) was used to analyze the potential factors associated with post-stroke cognitive outcomes. RESULTS A total of 112 patients were enrolled. The GEE model showed that all patients, regardless of initial cognitive performance, had a tendency to show an increase in the Montreal Cognitive Assessment over time. The cognitive performance was better in male patients with higher education levels (p = 0.046 and p < 0.001, respectively), but tended to be worse in patients with higher SVD burden and HA. The GBTM model grouped patients into low, intermediate, and high performance (LP, IP, and HP) after stroke. A higher SVD burden, rather than HA and initial stroke severity and location, independently predicted a higher odds of poor post-stroke cognitive trajectory (being in the LP group) after stroke (adjusted odds ratio 2.74, 95%CI 1.09-6.86). CONCLUSION In patients with first-ever mild stroke, cognitive improvement over time was evident. The detrimental impact of the SVD burden may outweigh the effect of HA or acute stroke insult on the post-stroke cognitive trajectory during the 1-year follow-up.
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Affiliation(s)
- Pi-Shan Sung
- Institute of Clinical Medicine, College ofMedicine, National Cheng Kung University, Tainan, Taiwan.,Department of Neurology, National Cheng KungUniversity Hospital, College of Medicine, National Cheng KungUniversity, Tainan, Taiwan
| | - Kang-Po Lee
- Department of Neurology, National Cheng KungUniversity Hospital, College of Medicine, National Cheng KungUniversity, Tainan, Taiwan
| | - Po-Yu Lin
- Department of Neurology, National Cheng KungUniversity Hospital, College of Medicine, National Cheng KungUniversity, Tainan, Taiwan
| | - Hui-Chen Su
- Department of Neurology, National Cheng KungUniversity Hospital, College of Medicine, National Cheng KungUniversity, Tainan, Taiwan
| | - Rwei-Ling Yu
- Institute ofBehavioral Medicine, College of Medicine, National Cheng KungUniversity, Tainan, Taiwan.,Institute of AlliedHealth Sciences, College of Medicine, National Cheng KungUniversity, Tainan, Taiwan
| | - Kuen-Jer Tsai
- Institute of Clinical Medicine, College ofMedicine, National Cheng Kung University, Tainan, Taiwan
| | - Sheng-Hsiang Lin
- Institute of Clinical Medicine, College ofMedicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Hung Chen
- Department of Neurology, National Cheng KungUniversity Hospital, College of Medicine, National Cheng KungUniversity, Tainan, Taiwan
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Ismail M, Mok VC, Wong A, Au L, Yiu B, Wang Z, Chu WC, Chan AY, Fan FS, Ma SH, Ip V, Ip B, Ma K, Leung H, Soo YO, Leung TW, Ko H, Lau AY, Lam BY. Risk factors for delayed-onset dementia after stroke or transient ischemic attack-A five-year longitudinal cohort study. Int J Stroke 2021; 17:517-525. [PMID: 34109903 DOI: 10.1177/17474930211026519] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Stroke not only substantially increases the risk of incident dementia early after stroke but also the risk remains elevated years after. AIM We aimed to determine the risk factors of dementia onset more than three to six months after stroke or transient ischemic attack. METHODS This is a single-center prospective cohort study. We recruited consecutive subjects with stroke/transient ischemic attack without early-onset dementia. We conducted an annual neuropsychological assessment for five years. We investigated the association between baseline demographic, clinical, genetic (APOEɛ4 allele), and radiological factors as well as incident recurrent stroke with delayed-onset dementia using Cox proportional hazards models. RESULTS In total, 1007 patients were recruited, of which 88 with early-onset dementia and 162 who lost to follow-ups were excluded. Forty-nine (6.5%) out of 757 patients have incident delayed-onset dementia. The presence of ≥3 lacunes, history of ischemic heart disease, history of ischemic stroke, and a lower baseline Hong Kong version of the Montreal Cognitive Assessment (MoCA) score were significantly associated with delayed-onset dementia. APOEɛ4 allele, medial temporal lobe atrophy, and recurrent stroke were not predictive. CONCLUSION The presence of ≥3 lacunes, history of ischemic heart disease, history of ischemic stroke, and a lower baseline MoCA score are associated with delayed-onset dementia after stroke/transient ischemic attack.
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Affiliation(s)
- Moamina Ismail
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ct Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Adrian Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Lisa Au
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Brian Yiu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Zhaolu Wang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Winnie Cw Chu
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Yy Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Florence Sy Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sze H Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ip
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Bonaventure Ip
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Karen Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Howan Leung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yannie Oy Soo
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Thomas Wh Leung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ho Ko
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Alexander Yl Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Bonnie Yk Lam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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Lee KP, Chang AYW, Sung PS. Association between Blood Pressure, Blood Pressure Variability, and Post-Stroke Cognitive Impairment. Biomedicines 2021; 9:773. [PMID: 34356837 PMCID: PMC8301473 DOI: 10.3390/biomedicines9070773] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/23/2021] [Accepted: 06/29/2021] [Indexed: 12/18/2022] Open
Abstract
After stroke, dynamic changes take place from necrotic-apoptotic continuum, inflammatory response to poststroke neurogenesis, and remodeling of the network. These changes and baseline brain pathology such as small vessel disease (SVD) and amyloid burden may be associated with the occurrence of early or late poststroke cognitive impairment (PSCI) or dementia (PSD), which affect not only stroke victims but also their families and even society. We reviewed the current concepts and understanding of the pathophysiology for PSCI/PSD and identified useful tools for the diagnosis and the prediction of PSCI in serological, CSF, and image characteristics. Then, we untangled their relationships with blood pressure (BP) and blood pressure variability (BPV), important but often overlooked risk factors for PSCI/PSD. Finally, we provided evidence for the modifying effects of BP and BPV on PSCI as well as pharmacological and non-pharmacological interventions and life style modification for PSCI/PSD prevention and treatment.
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Affiliation(s)
- Kang-Po Lee
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
- Department of Neurology, E-DA Hospital, Kaohsiung 824, Taiwan
| | - Alice Y. W. Chang
- Department of Physiology, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
- Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Pi-Shan Sung
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
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56
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Is Cerebral Amyloid-β Deposition Related to Post-stroke Cognitive Impairment? Transl Stroke Res 2021; 12:946-957. [PMID: 34195928 DOI: 10.1007/s12975-021-00921-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 05/23/2021] [Accepted: 05/26/2021] [Indexed: 01/20/2023]
Abstract
Approximately two-thirds of ischemic stroke patients suffer from different levels of post-stroke cognitive impairment (PSCI), but the underlying mechanisms of PSCI remain unclear. Cerebral amyloid-β (Aβ) deposition, a pathological hallmark of Alzheimer's disease, has been discovered in the brains of stroke patients in some autopsy studies. However, less is known about the role of Aβ pathology in the development of PSCI. It is hypothesized that cerebral ischemic injury may lead to neurotoxic Aβ accumulation in the brain, which further induces secondary neurodegeneration and progressive cognitive decline after stroke onset. In this review, we summarized available evidence from pre-clinical and clinical studies relevant to the aforementioned hypothesis. We found inconsistency in the results obtained from studies in rodents, nonhuman primates, and stroke patients. Moreover, the causal relationship between post-stroke cerebral Aβ deposition and PSCI has been uncertain and controversial. Taken together, evidence supporting the hypothesis that brain ischemia induces cerebral Aβ deposition has been insufficient so far. And, there is still no consensus regarding the contribution of cerebral amyloid pathology to PSCI. Other non-amyloid neurodegenerative mechanisms might be involved and remain to be fully elucidated.
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Schellhorn T, Zucknick M, Askim T, Munthe-Kaas R, Ihle-Hansen H, Seljeseth YM, Knapskog AB, Næss H, Ellekjær H, Thingstad P, Wyller TB, Saltvedt I, Beyer MK. Pre-stroke cognitive impairment is associated with vascular imaging pathology: a prospective observational study. BMC Geriatr 2021; 21:362. [PMID: 34126944 PMCID: PMC8201706 DOI: 10.1186/s12877-021-02327-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 06/06/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Chronic brain pathology and pre-stroke cognitive impairment (PCI) is predictive of post-stroke dementia. The aim of the current study was to measure pre-stroke neurodegenerative and vascular disease burden found on brain MRI and to assess the association between pre-stroke imaging pathology and PCI, whilst also looking for potential sex differences. METHODS This prospective brain MRI cohort is part of the multicentre Norwegian cognitive impairment after stroke (Nor-COAST) study. Patients hospitalized with acute ischemic or hemorrhagic stroke were included from five participating stroke units. Visual rating scales were used to categorize baseline MRIs (N = 410) as vascular, neurodegenerative, mixed, or normal, based on the presence of pathological imaging findings. Pre-stroke cognition was assessed by interviews of patients or caregivers using the Global Deterioration Scale (GDS). Stroke severity was assessed with the National Institute of Health Stroke Scale (NIHSS). Univariate and multiple logistic regression analyses were performed to investigate the association between imaging markers, PCI, and sex. RESULTS Patients' (N = 410) mean (SD) age was 73.6 (±11) years; 182 (44%) participants were female, the mean (SD) NIHSS at admittance was 4.1 (±5). In 68% of the participants, at least one pathological imaging marker was found. Medial temporal lobe atrophy (MTA) was present in 30% of patients, white matter hyperintensities (WMH) in 38% of patients and lacunes in 35% of patients. PCI was found in 30% of the patients. PCI was associated with cerebrovascular pathology (OR 2.5; CI = 1.4 to 4.5, p = 0.001) and mixed pathology (OR 3.4; CI = 1.9 to 6.1, p = 0.001) but was not associated with neurodegeneration (OR 1.0; CI = 0.5 to 2.2; p = 0.973). Pathological MRI markers, including MTA and lacunes, were more prevalent among men, as was a history of clinical stroke prior to the index stroke. The OR of PCI for women was not significantly increased (OR 1.2; CI = 0.8 to 1.9; p = 0.3). CONCLUSIONS Pre-stroke chronic brain pathology is common in stroke patients, with a higher prevalence in men. Vascular pathology and mixed pathology are associated with PCI. There were no significant sex differences for the risk of PCI. TRIAL REGISTRATION NCT02650531 , date of registration: 08.01.2016.
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Affiliation(s)
- Till Schellhorn
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
| | - Manuela Zucknick
- Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Torunn Askim
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Ragnhild Munthe-Kaas
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Drammen, Norway
| | - Hege Ihle-Hansen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Yngve M Seljeseth
- Medical Department, Ålesund Hospital, Møre and Romsdal Health Trust, Ålesund, Norway
| | | | - Halvor Næss
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Institute of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Hanne Ellekjær
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Stroke Unit, Department of Internal Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Pernille Thingstad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Torgeir Bruun Wyller
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Geriatric Medicine, Department of Internal Medicine St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Mona K Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Khlif MS, Bird LJ, Restrepo C, Khan W, Werden E, Egorova‐Brumley N, Brodtmann A. Hippocampal subfield volumes are associated with verbal memory after first-ever ischemic stroke. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12195. [PMID: 34136634 PMCID: PMC8197170 DOI: 10.1002/dad2.12195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/13/2021] [Accepted: 04/15/2021] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Hippocampal subfield volumes are more closely associated with cognitive impairment than whole hippocampal volume in many diseases. Both memory and whole hippocampal volume decline after stroke. Understanding the subfields' temporal evolution could reveal valuable information about post-stroke memory. METHODS We sampled 120 participants (38 control, 82 stroke), with cognitive testing and 3T-MRI available at 3 months and 3 years, from the Cognition and Neocortical Volume after Stroke (CANVAS) study. Verbal memory was assessed using the Hopkins Verbal Learning Test-Revised. Subfields were delineated using FreeSurfer. We used partial Pearson's correlation to assess the associations between subfield volumes and verbal memory scores, adjusting for years of education, sex, and stroke side. RESULTS The left cornu ammonis areas 2/3 and hippocampal tail volumes were significantly associated with verbal memory 3-month post-stroke. At 3 years, the associations became stronger and involved more subfields. DISCUSSION Hippocampal subfield volumes may be a useful biomarker for post-stroke cognitive impairment.
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Affiliation(s)
- Mohamed Salah Khlif
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Laura J. Bird
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Carolina Restrepo
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Wasim Khan
- Department of NeuroscienceCentral Clinical SchoolMonash UniversityClaytonVictoriaAustralia
- Department of Neuroimaging Institute of PsychiatryPsychology, and Neuroscience (IoPPN), King's College LondonLondonUK
| | - Emilio Werden
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Natalia Egorova‐Brumley
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
- Melbourne School of Psychological SciencesUniversity of MelbourneParkvilleVictoriaAustralia
| | - Amy Brodtmann
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
- Department of NeurologyAustin HealthHeidelbergVictoriaAustralia
- Eastern Cognitive Disorders ClinicBox Hill HospitalMonash UniversityBox HillVictoriaAustralia
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Zhong HH, Qu JF, Xiao WM, Chen YK, Liu YL, Wu ZQ, Qiu DH, Liang WC. Severity of Lesions Involving the Cortical Cholinergic Pathways May Be Associated With Cognitive Impairment in Subacute Ischemic Stroke. Front Neurol 2021; 12:606897. [PMID: 34168604 PMCID: PMC8217623 DOI: 10.3389/fneur.2021.606897] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 05/04/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: Impairment of cortical cholinergic pathways (CCP) is an important risk factor for chronic vascular cognitive impairment. However, this phenomenon has rarely been studied in post-stroke cognitive impairment (PSCI). We investigated the relationship between PSCI and CCP lesions assessed by structural magnetic resonance imaging (MRI). Patients and methods: We prospectively enrolled 103 patients within 7 days of ischemic stroke onset. CCP was measured by the cholinergic pathways hyperintensities scale (CHIPS), which semiquantitatively grades MR lesions strategically located on the CCP identified in human brains. We also measured other MRI parameters, including the location and volumes of acute infarcts, cerebral microbleeds, medial temporal lobe atrophy, and white matter lesions. Neuropsychological assessments were performed using the 60-min modified vascular dementia battery (VDB) at 3 months after the index stroke, and PSCI was defined according to VDB as well as ADL. Results: Of all 103 patients, 69 men (67.0%) and 34 women (33.0%) with a mean age of 57.22 ± 12.95 years, 55 patients (53.4%) were judged to have PSCI at 3 months, including 43 (41.7%) patients with PSCI-no dementia and 12 (11.7%) patients with poststroke dementia. According to the VBD assessment, the most commonly impaired cognitive domain was visuomotor speed (27.2%) followed by verbal memory (25.2%). Univariate analysis showed that patients with PSCI were older; had higher informant questionnaire on cognitive decline in the elderly (IQCODE) scores; had more frequent previous stroke history and atrial fibrillation; and had higher CHIPS scores, more severe white matter lesions, and medial temporal lobe atrophy. PSCI patients also had higher depression scores at 3 months. In the multivariate regression analysis, age, IQCODE score, CHIPS score, and Hamilton depression rating scale score were independent predictors of PSCI. Ordinal regression analysis for risk factors of poor functional outcomes revealed that IQCODE scores and cognitive function status were related to mRS score at 3 months after stroke. Conclusion: In patients with early subacute ischemic stroke, the severity of lesions involving the CCP may be associated with cognitive impairment at 3 months. Clinical Trial Registration: Chinese Clinical Trial Registry, identifier: ChiCTR1800014982.
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Affiliation(s)
- Huo-Hua Zhong
- Department of Neurology, Dongguan People's Hospital, Dongguan, China
| | - Jian-Feng Qu
- Department of Neurology, Dongguan People's Hospital, Dongguan, China
| | - Wei-Min Xiao
- Department of Neurology, Dongguan People's Hospital, Dongguan, China
| | - Yang-Kun Chen
- Department of Neurology, Dongguan People's Hospital, Dongguan, China
| | - Yong-Lin Liu
- Department of Neurology, Dongguan People's Hospital, Dongguan, China
| | - Zhi-Qiang Wu
- Department of Neurology, Dongguan People's Hospital, Dongguan, China
| | - Dong-Hai Qiu
- Department of Neurology, Dongguan People's Hospital, Dongguan, China
| | - Wen-Cong Liang
- Graduate School, Guangdong Medical University, Dongguan, China
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Zee B, Wong Y, Lee J, Fan Y, Zeng J, Lam B, Wong A, Shi L, Lee A, Kwok C, Lai M, Mok V, Lau A. Machine-learning method for localization of cerebral white matter hyperintensities in healthy adults based on retinal images. Brain Commun 2021; 3:fcab124. [PMID: 34222872 PMCID: PMC8249101 DOI: 10.1093/braincomms/fcab124] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 03/26/2021] [Accepted: 04/14/2021] [Indexed: 11/12/2022] Open
Abstract
Retinal vessels are known to be associated with various cardiovascular and cerebrovascular disease outcomes. Recent research has shown significant correlations between retinal characteristics and the presence of cerebral small vessel disease as measured by white matter hyperintensities from cerebral magnetic resonance imaging. Early detection of age-related white matter changes using retinal images is potentially helpful for population screening and allow early behavioural and lifestyle intervention. This study investigates the ability of the machine-learning method for the localization of brain white matter hyperintensities. All subjects were age 65 or above without any history of stroke and dementia and recruited from local community centres and community networks. Subjects with known retinal disease or disease influencing vessel structure in colour retina images were excluded. All subjects received MRI on the brain, and age-related white matter changes grading was determined from MRI as the primary endpoint. The presence of age-related white matter changes on each of the six brain regions was also studied. Retinal images were captured using a fundus camera, and the analysis was done based on a machine-learning approach. A total of 240 subjects are included in the study. The analysis of various brain regions included the left and right sides of frontal lobes, parietal–occipital lobes and basal ganglia. Our results suggested that data from both eyes are essential for detecting age-related white matter changes in the brain regions, but the retinal parameters useful for estimation of the probability of age-related white matter changes in each of the brain regions may differ for different locations. Using a classification and regression tree approach, we also found that at least three significant heterogeneous subgroups of subjects were identified to be essential for the localization of age-related white matter changes. Namely those with age-related white matter changes in the right frontal lobe, those without age-related white matter changes in the right frontal lobe but with age-related white matter changes in the left parietal–occipital lobe, and the rest of the subjects. Outcomes such as risks of severe grading of age-related white matter changes and the proportion of hypertension were significantly related to these subgroups. Our study showed that automatic retinal image analysis is a convenient and non-invasive screening tool for detecting age-related white matter changes and cerebral small vessel disease with good overall performance. The localization analysis for various brain regions shows that the classification models on each of the six brain regions can be done, and it opens up potential future clinical application.
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Affiliation(s)
- Benny Zee
- Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Clinical Trials and Biostatistics Lab, CUHK Shenzhen Research Institute, Shenzhen, China
| | - Yanny Wong
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Jack Lee
- Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Clinical Trials and Biostatistics Lab, CUHK Shenzhen Research Institute, Shenzhen, China
| | - Yuhua Fan
- Department of Neurology, First Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.,Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department, National Key Discipline, Guangzhou 510080, China
| | - Jinsheng Zeng
- Department of Neurology, First Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.,Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department, National Key Discipline, Guangzhou 510080, China
| | - Bonnie Lam
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Adrian Wong
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Lin Shi
- BrainNow Research Institute, Shenzhen, Guangdong Province, China.,Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Allen Lee
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Chloe Kwok
- Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Maria Lai
- Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Vincent Mok
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Alexander Lau
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
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61
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High burden of cerebral white matter lesion in 9 Asian cities. Sci Rep 2021; 11:11587. [PMID: 34078946 PMCID: PMC8172636 DOI: 10.1038/s41598-021-90746-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 05/13/2021] [Indexed: 12/19/2022] Open
Abstract
Age-related white matter lesion (WML) is considered a manifestation of sporadic cerebral small vessel disease and an important pathological substrate for dementia. Asia is notable for its large population with a looming dementia epidemic. Yet, the burden of WML and its associated risk factors across different Asian societies are unknown. Subjects from 9 Asian cities (Bangkok, Bandung, Beijing, Bengaluru, Hong Kong, Kaohsiung, Manila, Seoul, and Singapore) were recruited (n = 5701) and classified into (i) stroke/transient ischemic attack (TIA), (ii) Alzheimer's disease (AD)/mild cognitive impairment (MCI), or (iii) control groups. Data on vascular risk factors and cognitive performance were collected. The severity of WML was visually rated on MRI or CT. The prevalence of moderate-to-severe WML was the highest in subjects with stroke/TIA (43.3%). Bandung Indonesia showed the highest prevalence of WML, adjusted for age, sex, education, disease groups, and imaging modality. Hypertension and hyperlipidemia were significant risk factors for WML, and WML was negatively associated with MMSE in all groups. WML is highly prevalent in Asia and is associated with increasing age, hypertension, hyperlipidemia, and worse cognitive performance. Concerted efforts to prevent WML will alleviate the huge dementia burden in the rapidly aging Asian societies.
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62
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Xiang L, Zhang T, Zhang B, Zhang C, Hou S, Yue W. The associations of increased cerebral small vessel disease with cognitive impairment in neurosyphilis presenting with ischemic stroke. Brain Behav 2021; 11:e02187. [PMID: 33998172 PMCID: PMC8213652 DOI: 10.1002/brb3.2187] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND AND PURPOSE Ischemic stroke is a common clinical feature of neurosyphilis, but its accompanying cognitive decline is often overlooked. The mechanisms of cognitive impairment in neurosyphilis presenting with ischemic stroke are not fully understood. Cerebral small vessel disease (CSVD) was recently shown to predict post-stroke cognitive decline. Therefore, this study aims to validate the correlation between CSVD and cognitive impairment in neurosyphilis presenting with ischemic stroke. METHODS We enrolled 179 neurosyphilis patients diagnosed as acute ischemic stroke and performed a 12-month cognitive assessment follow-up. CSVD burden was evaluated by neuroimaging markers, including white matter hyperintensities (WMHs), lacunes, cerebral microbleeds (CMBs), and perivascular spaces (PVS). We performed multivariate logistic regression analysis to determine the association between cognitive decline and total CSVD burden score in neurosyphilis patients. RESULTS The neurosyphilis participants had a significantly higher total CSVD score and lower cognitive function score compared with the syphilis-uninfected patients. Acute cognitive impairment was associated with total CSVD score, extensive microbleeds, and Grade 3 WMHs. After 12-month follow-up, the poor prognosis of post-stroke cognitive impairment was associated with a higher burden of CSVD and extensive microbleeds. CONCLUSIONS Cerebral small vessel disease loads in neurosyphilis patients presenting with ischemic stroke are independently associated with acute cognitive impairment and have a prospective value for post-stroke cognitive outcomes.
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Affiliation(s)
- Lei Xiang
- Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Tao Zhang
- Department of Intensive Care Unit, Tianjin Huanhu Hospital, Tianjin, China
| | - Biao Zhang
- Department of Clinical Laboratory, Tianjin Huanhu Hospital, Tianjin, China
| | - Chao Zhang
- Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Shuping Hou
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wei Yue
- Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
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63
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Zhu HY, Hong FF, Yang SL. The Roles of Nitric Oxide Synthase/Nitric Oxide Pathway in the Pathology of Vascular Dementia and Related Therapeutic Approaches. Int J Mol Sci 2021; 22:ijms22094540. [PMID: 33926146 PMCID: PMC8123648 DOI: 10.3390/ijms22094540] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 04/18/2021] [Accepted: 04/21/2021] [Indexed: 12/16/2022] Open
Abstract
Vascular dementia (VaD) is the second most common form of dementia worldwide. It is caused by cerebrovascular disease, and patients often show severe impairments of advanced cognitive abilities. Nitric oxide synthase (NOS) and nitric oxide (NO) play vital roles in the pathogenesis of VaD. The functions of NO are determined by its concentration and bioavailability, which are regulated by NOS activity. The activities of different NOS subtypes in the brain are partitioned. Pathologically, endothelial NOS is inactivated, which causes insufficient NO production and aggravates oxidative stress before inducing cerebrovascular endothelial dysfunction, while neuronal NOS is overactive and can produce excessive NO to cause neurotoxicity. Meanwhile, inflammation stimulates the massive expression of inducible NOS, which also produces excessive NO and then induces neuroinflammation. The vicious circle of these kinds of damage having impacts on each other finally leads to VaD. This review summarizes the roles of the NOS/NO pathway in the pathology of VaD and also proposes some potential therapeutic methods that target this pathway in the hope of inspiring novel ideas for VaD therapeutic approaches.
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Affiliation(s)
- Han-Yan Zhu
- Department of Physiology, College of Medicine, Nanchang University, 461 Bayi Avenue, Nanchang 330006, China;
- Queen Marry College, College of Medicine, Nanchang University, 461 Bayi Avenue, Nanchang 330006, China
| | - Fen-Fang Hong
- Teaching Center, Department of Experimental, Nanchang University, 461 Bayi Avenue, Nanchang 330006, China
- Correspondence: (F.-F.H.); (S.-L.Y.)
| | - Shu-Long Yang
- Department of Physiology, College of Medicine, Nanchang University, 461 Bayi Avenue, Nanchang 330006, China;
- Correspondence: (F.-F.H.); (S.-L.Y.)
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64
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Zanon Zotin MC, Sveikata L, Viswanathan A, Yilmaz P. Cerebral small vessel disease and vascular cognitive impairment: from diagnosis to management. Curr Opin Neurol 2021; 34:246-257. [PMID: 33630769 PMCID: PMC7984766 DOI: 10.1097/wco.0000000000000913] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW We present recent developments in the field of small vessel disease (SVD)-related vascular cognitive impairment, including pathological mechanisms, updated diagnostic criteria, cognitive profile, neuroimaging markers and risk factors. We further address available management and therapeutic strategies. RECENT FINDINGS Vascular and neurodegenerative pathologies often co-occur and share similar risk factors. The updated consensus criteria aim to standardize vascular cognitive impairment (VCI) diagnosis, relying strongly on cognitive profile and MRI findings. Aggressive blood pressure control and multidomain lifestyle interventions are associated with decreased risk of cognitive impairment, but disease-modifying treatments are still lacking. Recent research has led to a better understanding of mechanisms leading to SVD-related cognitive decline, such as blood-brain barrier dysfunction, reduced cerebrovascular reactivity and impaired perivascular clearance. SUMMARY SVD is the leading cause of VCI and is associated with substantial morbidity. Tackling cardiovascular risk factors is currently the most effective approach to prevent cognitive decline in the elderly. Advanced imaging techniques provide tools for early diagnosis and may play an important role as surrogate markers for cognitive endpoints in clinical trials. Designing and testing disease-modifying interventions for VCI remains a key priority in healthcare.
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Affiliation(s)
- Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Center for Imaging Sciences and Medical Physics. Department of Medical Imaging, Hematology and Clinical Oncology. Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospital, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Pinar Yilmaz
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
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65
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Jang YJ, Kang C, Myung W, Lim SW, Moon YK, Kim H, Kim DK. Additive interaction of mid- to late-life depression and cerebrovascular disease on the risk of dementia: a nationwide population-based cohort study. ALZHEIMERS RESEARCH & THERAPY 2021; 13:61. [PMID: 33726788 PMCID: PMC7968260 DOI: 10.1186/s13195-021-00800-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 03/02/2021] [Indexed: 12/26/2022]
Abstract
Background Dementia is a progressive neurocognitive disease with a substantial social burden. No apparent breakthroughs in treatment options have emerged so far; thus, disease prevention is essential for at-risk populations. Depression and cerebrovascular disease (CVD) are independent risk factors for dementia, but no studies have examined their interaction effect on dementia risk. This study aimed to identify the association of depression and CVD with the risk of dementia and evaluate whether dementia risk among patients with comorbid depression and CVD is higher than the sum of the individual risk due to each condition. Methods A population-based cohort study was conducted to analyze the Korean National Health Insurance Service-National Sample Cohort data of all individuals over 50 years of age. Individuals who had not been diagnosed with dementia at baseline were included and followed up from January 1, 2005, to December 31, 2013. A time-varying Cox proportional hazard regression model adjusted for potential confounding factors was used for the analysis. The interaction between depression and CVD was estimated based on the attributable proportion (AP), relative excess risk due to interaction (RERI), synergy index (SI), and multiplicative-scale interaction. Results A total of 242,237 participants were included in the analytical sample, of which 12,735 (5.3%) developed dementia. Compared to that for participants without depression or CVD, the adjusted hazard ratio for the incidence of dementia for those with depression alone was 2.35 (95% confidence interval [CI] 2.21–2.49), CVD alone was 3.25 (95% CI 3.11–3.39), and comorbid depression and CVD was 5.02 (95% CI 4.66–5.42). The additive interaction between depression and CVD was statistically significant (AP—0.08, 95% CI 0.01–0.16; RERI—0.42, 95% CI 0.03–0.82; SI—1.12, 95% CI 1.01–1.24). The multiplicative interaction was significant too, but the effect was negative (0.66, 95% CI 0.60–0.73). Conclusions In this population-based nationwide cohort with long-term follow-up, depression and CVD were associated with an increased risk of dementia, and their coexistence additively increased dementia risk more than the sum of the individual risks.
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Affiliation(s)
- Yoo Jin Jang
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Cinoo Kang
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Shinn-Won Lim
- SAIHST, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Young Kyung Moon
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Ho Kim
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, South Korea. .,Institute of Health and Environment, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-742, South Korea.
| | - Doh Kwan Kim
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
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66
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Verdelho A, Wardlaw J, Pavlovic A, Pantoni L, Godefroy O, Duering M, Charidimou A, Chabriat H, Biessels GJ. Cognitive impairment in patients with cerebrovascular disease: A white paper from the links between stroke ESO Dementia Committee. Eur Stroke J 2021; 6:5-17. [PMID: 33817330 PMCID: PMC7995319 DOI: 10.1177/23969873211000258] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 02/04/2021] [Indexed: 12/21/2022] Open
Abstract
PURPOSE Many daily-life clinical decisions in patients with cerebrovascular disease and cognitive impairment are complex. Evidence-based information sustaining these decisions is frequently lacking. The aim of this paper is to propose a practical clinical approach to cognitive impairments in patients with known cerebrovascular disease. METHODS The document was produced by the Dementia Committee of the European Stroke Organisation (ESO), based on evidence from the literature where available and on the clinical experience of the Committee members. This paper was endorsed by the ESO. FINDINGS Many patients with stroke or other cerebrovascular disease have cognitive impairment, but this is often not recognized. With improvement in acute stroke care, and with the ageing of populations, it is expected that more stroke survivors and more patients with cerebrovascular disease will need adequate management of cognitive impairment of vascular etiology. This document was conceived for the use of strokologists and for those clinicians involved in cerebrovascular disease, with specific and practical hints concerning diagnostic tools, cognitive impairment management and decision on some therapeutic options.Discussion and conclusions: It is essential to consider a possible cognitive deterioration in every patient who experiences a stroke. Neuropsychological evaluation should be adapted to the clinical status. Brain imaging is the most informative biomarker concerning prognosis. Treatment should always include adequate secondary prevention.
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Affiliation(s)
- Ana Verdelho
- Department of Neurosciences and Mental Health, CHLN-Hospital de Santa Maria, Instituto de Medicina Molecular – IMM e Instituto de Saúde Ambiental –ISAMB, Faculdade de Medicina, University of Lisbon, Lisbon, Portugal
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Aleksandra Pavlovic
- Faculty for Special Education and Rehabilitation, University of Belgrade, Belgrade, Serbia
| | - Leonardo Pantoni
- Stroke and Dementia Lab, "Luigi Sacco" Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Olivier Godefroy
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences1,6 (UR UPJV 4559), Jules Verne Picardy University, Amiens, France
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Andreas Charidimou
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Hugues Chabriat
- Department of Neurology, FHU NeuroVasc, Hôpital Lariboisiere, University of Paris, Paris, France
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands
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The Role of Gut Microbiota in an Ischemic Stroke. Int J Mol Sci 2021; 22:ijms22020915. [PMID: 33477609 PMCID: PMC7831313 DOI: 10.3390/ijms22020915] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/14/2021] [Accepted: 01/15/2021] [Indexed: 12/11/2022] Open
Abstract
The intestinal microbiome, the largest reservoir of microorganisms in the human body, plays an important role in neurological development and aging as well as in brain disorders such as an ischemic stroke. Increasing knowledge about mediators and triggered pathways has contributed to a better understanding of the interaction between the gut-brain axis and the brain-gut axis. Intestinal bacteria produce neuroactive compounds and can modulate neuronal function, which affects behavior after an ischemic stroke. In addition, intestinal microorganisms affect host metabolism and immune status, which in turn affects the neuronal network in the ischemic brain. Here we discuss the latest results of animal and human research on two-way communication along the gut-brain axis in an ischemic stroke. Moreover, several reports have revealed the impact of an ischemic stroke on gut dysfunction and intestinal dysbiosis, highlighting the delicate play between the brain, intestines and microbiome after this acute brain injury. Despite our growing knowledge of intestinal microflora in shaping brain health, host metabolism, the immune system and disease progression, its therapeutic options in an ischemic stroke have not yet been fully utilized. This review shows the role of the gut microflora-brain axis in an ischemic stroke and assesses the potential role of intestinal microflora in the onset, progression and recovery post-stroke.
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68
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D'Souza CE, Greenway MRF, Graff-Radford J, Meschia JF. Cognitive Impairment in Patients with Stroke. Semin Neurol 2021; 41:75-84. [PMID: 33418591 DOI: 10.1055/s-0040-1722217] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Despite substantial advances in stroke care, vascular cognitive impairment remains a prominent source of disability. Unlike sensorimotor impairments, cognition often continues to decline after stroke. An aging population will increase the prevalence of vascular cognitive impairment, with stroke playing an important role. Ten percent of patients presenting with stroke have pre-stroke dementia; an additional 10% will develop incident dementia with a first stroke, and 30% with a recurrent stroke. While stroke increases the risk of cognitive impairment, the presence of cognitive impairment also impacts acute stroke treatment and increases risk of poor outcome by nearly twofold. There is substantial overlap in the clinical and pathological aspects of vascular and degenerative dementias in many patients. How they relate to one another is controversial. The treatment of vascular cognitive impairment remains supportive, focusing on treating vascular risk factors. Cognitive rehabilitation after stroke is an area of active research, and existing pharmacologic treatments have limited benefit. Heightened awareness of cognitive impairment in the setting of stroke is imperative for prognostication and management, impetus for research and, ultimately, the discovery of efficacious treatments.
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Affiliation(s)
- Caitlin E D'Souza
- Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida.,Department of Neurology, Baptist Health, Jacksonville, Florida
| | | | | | - James F Meschia
- Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida
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69
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Cao Y, Yan J, Zhan Z, Liang Y, Han Z. Macula Structure and Microvascular Changes in Recent Small Subcortical Infarct Patients. Front Neurol 2021; 11:615252. [PMID: 33488504 PMCID: PMC7817655 DOI: 10.3389/fneur.2020.615252] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 11/23/2020] [Indexed: 12/29/2022] Open
Abstract
Purpose: This study aimed to assess the macula structure and capillaries in the macula and optic nerve head in recent small subcortical infarct (RSSI) patients. Methods: This observational cross-sectional study included 40 RSSI patients and 46 healthy controls. Optical coherence tomography angiography was used to image the capillaries in the macula and optic nerve head. An inbuilt algorithm was used to measure the densities in the microvasculature of the macula [superficial retinal capillary plexus (SRCP) and deep retinal capillary plexus (DRCP)] and optic nerve head [radial peripapillary capillary (RPC)] and thickness around the optic nerve head, peripapillary retinal nerve fiber layer (pRNFL). Results: Densities in RPC (P < 0.001), SRCP (P = 0.001), and DRCP (P = 0.003) were reduced in RSSI patients when compared with healthy controls. The pRNFL thickness was thinner (P < 0.001) in RSSI patients than healthy controls. In the RSSI group, the SRCP density significantly correlated with the DRCP density (rho = 0.381, P = 0.042). The pRNFL thickness displayed a significant relationship with the RPC density (rho = 0.482, P = 0.003) in the RSSI group. Conclusions: RSSI patients showed interrupted capillary plexuses leading to its significant impairment and neurodegeneration. Our report provides insight into the macula capillary microcirculation changes in RSSI.
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Affiliation(s)
- Yungang Cao
- Department of Neurology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jueyue Yan
- School of Medicine, First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Zhenxiang Zhan
- Department of Neurology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yuanbo Liang
- Eye Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zhao Han
- Department of Neurology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
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Abstract
Age-related sporadic cerebral small vessel disease (CSVD) has gained increasing attention over the past decades because of its increasing prevalence associated with an aging population. The widespread application of and advances in brain magnetic resonance imaging in recent decades have significantly increased researchers’ understanding in the in vivo evolution of CSVD, its impact upon the brain, its risk factors, and the mechanisms that explain the various clinical manifestation associated with sporadic CSVD. In this review, we aimed to provide an update on the pathophysiology, risk factors, biomarkers, and the determinants and spectrum of the clinical manifestation of sporadic CSVD.
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71
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Korte N, Nortley R, Attwell D. Cerebral blood flow decrease as an early pathological mechanism in Alzheimer's disease. Acta Neuropathol 2020; 140:793-810. [PMID: 32865691 PMCID: PMC7666276 DOI: 10.1007/s00401-020-02215-w] [Citation(s) in RCA: 142] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 08/15/2020] [Accepted: 08/15/2020] [Indexed: 02/08/2023]
Abstract
Therapies targeting late events in Alzheimer's disease (AD), including aggregation of amyloid beta (Aβ) and hyperphosphorylated tau, have largely failed, probably because they are given after significant neuronal damage has occurred. Biomarkers suggest that the earliest event in AD is a decrease of cerebral blood flow (CBF). This is caused by constriction of capillaries by contractile pericytes, probably evoked by oligomeric Aβ. CBF is also reduced by neutrophil trapping in capillaries and clot formation, perhaps secondary to the capillary constriction. The fall in CBF potentiates neurodegeneration by upregulating the BACE1 enzyme that makes Aβ and by promoting tau hyperphosphorylation. Surprisingly, therefore, CBF reduction may play a crucial role in driving cognitive decline by initiating the amyloid cascade itself, or being caused by and amplifying Aβ production. Here, we review developments in this area that are neglected in current approaches to AD, with the aim of promoting novel mechanism-based therapeutic approaches.
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Affiliation(s)
- Nils Korte
- Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London, WC1E 6BT, UK
| | - Ross Nortley
- Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London, WC1E 6BT, UK
| | - David Attwell
- Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London, WC1E 6BT, UK.
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72
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Ding MY, Xu Y, Wang YZ, Li PX, Mao YT, Yu JT, Cui M, Dong Q. Predictors of Cognitive Impairment After Stroke: A Prospective Stroke Cohort Study. J Alzheimers Dis 2020; 71:1139-1151. [PMID: 31524163 DOI: 10.3233/jad-190382] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Post-stroke cognitive impairment (PSCI) significantly affects stroke survivors' quality of life and rehabilitation. A risk model identifying cognitive decline at admission would help to improve early detection and management of post-stroke patients. OBJECTIVE To develop a new clinical risk score for ischemic stroke survivors in predicting 6-12 months PSCI. METHODS We prospectively enrolled 179 patients diagnosed with acute ischemic stroke within a 7-day onset. Data were analyzed based on baseline demographics, clinical risk factors, and radiological parameters. Logistic regression and area under the receiver operating curve (AUROC) were used to evaluate model efficiency. RESULTS One hundred forty-five subjects completed a 6-12-month follow-up visit, and 77 patients (53.1%) were diagnosed with PSCI. Age (β= 0.065, OR = 1.067, 95% CI = 1.016-1.120), years of education (β= -0.346, OR = 0.707, 95% CI = 0.607-0.824), periventricular hyperintensity grading (β= 1.253, OR = 3.501, 95% CI = 1.652-7.417), diabetes mellitus (β= 1.762, OR = 5.825, 95% CI = 2.068-16.412), and the number of acute nonlacunar infarcts (β= 0.569, OR = 1.766, 95% CI = 1.243-2.510) were independently associated with 6-12 month PSCI, constituting a model with optimal predictive efficiency (AUC = 0.884, 95% CI = 0.832-0.935). CONCLUSIONS The optimized risk model was effective in screening stroke survivors at high risk of developing 6-12 months PSCI in a simple and pragmatic way. It could be a potential tool to identify patients with a high risk of PSCI at an early stage in clinical practice after further independent external cohort validation.
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Affiliation(s)
- Meng-Yuan Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yi Xu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ying-Zhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Pei-Xi Li
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yi-Ting Mao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
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73
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Back DB, Choi BR, Han JS, Kwon KJ, Choi DH, Shin CY, Lee J, Kim HY. Characterization of Tauopathy in a Rat Model of Post-Stroke Dementia Combining Acute Infarct and Chronic Cerebral Hypoperfusion. Int J Mol Sci 2020; 21:ijms21186929. [PMID: 32967251 PMCID: PMC7555397 DOI: 10.3390/ijms21186929] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/14/2020] [Accepted: 09/18/2020] [Indexed: 12/13/2022] Open
Abstract
Post-stroke dementia (PSD) is a major neurodegenerative consequence of stroke. Tauopathy has been reported in diverse neurodegenerative diseases. We investigated the cognitive impairment and pathomechanism associated with tauopathy in a rat model of PSD by modeling acute ischemic stroke and underlying chronic cerebral hypoperfusion (CCH). We performed middle cerebral artery occlusion (MCAO) surgery in rats to mimic acute ischemic stroke, followed by bilateral common carotid artery occlusion (BCCAo) surgery to mimic CCH. We performed behavioral tests and focused on the characterization of tauopathy through histology. Parenchymal infiltration of cerebrospinal fluid (CSF) tracers after intracisternal injection was examined to evaluate glymphatic function. In an animal model of PSD, cognitive impairment was aggravated when BCCAo was combined with MCAO. Tauopathy, manifested by tau hyperphosphorylation, was prominent in the peri-infarct area when CCH was combined. Synergistic accentuation of tauopathy was evident in the white matter. Microtubules in the neuronal axon and myelin sheath showed partial colocalization with the hyperphosphorylated tau, whereas oligodendrocytes showed near-complete colocalization. Parenchymal infiltration of CSF tracers was attenuated in the PSD model. Our experimental results suggest a hypothesis that CCH may aggravate cognitive impairment and tau hyperphosphorylation in a rat model of PSD by interfering with tau clearance through the glymphatic system. Therapeutic strategies to improve the clearance of brain metabolic wastes, including tau, may be a promising approach to prevent PSD after stroke.
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Affiliation(s)
- Dong Bin Back
- Department of Neurology, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 05029, Korea; (D.B.B.); (B.-R.C.); (K.J.K.)
| | - Bo-Ryoung Choi
- Department of Neurology, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 05029, Korea; (D.B.B.); (B.-R.C.); (K.J.K.)
| | - Jung-Soo Han
- Department of Biological Sciences, Konkuk University, Seoul 05029, Korea;
| | - Kyoung Ja Kwon
- Department of Neurology, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 05029, Korea; (D.B.B.); (B.-R.C.); (K.J.K.)
- Department of Medicine, Konkuk University School of Medicine, Seoul 05029, Korea;
| | - Dong-Hee Choi
- Department of Medicine, Konkuk University School of Medicine, Seoul 05029, Korea;
| | - Chan Young Shin
- Department of Pharmacology, Konkuk University School of Medicine, Seoul 05029, Korea;
| | - Jongmin Lee
- Department of Rehabilitation Medicine, Konkuk University School of Medicine, Seoul 05029, Korea;
| | - Hahn Young Kim
- Department of Neurology, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 05029, Korea; (D.B.B.); (B.-R.C.); (K.J.K.)
- Correspondence: or ; Tel.: +82-2-2030-7563
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74
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Ettelt P, Maier IL, Schnieder M, Bähr M, Behme D, Psychogios MN, Liman J. Bridging therapy is associated with improved cognitive function after large vessel occlusion stroke - an analysis of the German Stroke Registry. Neurol Res Pract 2020; 2:29. [PMID: 33324931 PMCID: PMC7650060 DOI: 10.1186/s42466-020-00079-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 03/13/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The targeted use of endovascular therapy (EVT), with or without intravenous thrombolysis (IVT) in acute large cerebral vessel occlusion stroke (LVOS) has been proven to be superior compared to IVT alone. Despite favorable functional outcome, many patients complain about cognitive decline after EVT. If IVT in addition to EVT has positive effects on cognitive function is unclear. METHODS We analyzed data from the German Stroke Registry (GSR, an open, multicenter and prospective observational study) and compared cognitive function 90 days after index ischemic stroke using MoCA in patients with independent (mRS ≤ 2 pts) and excellent (mRS = 0 pts) functional outcome receiving combined EVT and IVT (EVT + IVT) vs. EVT alone (EVT-IVT). RESULTS Of the 2636 GSR patients, we included 166 patients with mRS ≤ 2 at 90 days in our analysis. Of these, 103 patients (62%) received EVT + IVT, 63 patients (38%) were treated with EVT alone. There was no difference in reperfusion status between groups (mTICI ≥ 2b in both groups at 95%, p = 0.65). Median MoCA score in the EVT + IVT group was 20 pts. (18-25 IQR) vs. 18 pts. (16-21 IQR) in the EVT-IVT group (p = 0.014). There were more patients with cognitive impairment (defined as MoCA < 26 pts) in the EVT-IVT group (54 patients (86%)) compared to the EVT + IVT group (78 patients (76%)). EVT + IVT was associated with a higher MoCA score at 90 days (mRS ≤ 2: p = 0.033, B = 2.39; mRS = 0: p = 0.021, B = 4.38). CONCLUSIONS In Patients with good functional outcome after LVOS, rates of cognitive impairment are lower with combined EVT and IVT compared to EVT alone. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03356392.
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Affiliation(s)
- Philipp Ettelt
- Department of Neurology, Allgemeines Krankenhaus Celle, Celle, Germany
| | - Ilko L. Maier
- Department of Neurology, University Medicine Göttingen, Göttingen, Germany
| | - Marlena Schnieder
- Department of Neurology, University Medicine Göttingen, Göttingen, Germany
| | - Mathias Bähr
- Department of Neurology, University Medicine Göttingen, Göttingen, Germany
| | - Daniel Behme
- Department of Neuroradiology, University Medicine Göttingen, Göttingen, Germany
| | | | - Jan Liman
- Department of Neurology, University Medicine Göttingen, Göttingen, Germany
| | - on behalf of the GSR-ET Collaborators
- Department of Neurology, Allgemeines Krankenhaus Celle, Celle, Germany
- Department of Neurology, University Medicine Göttingen, Göttingen, Germany
- Department of Neuroradiology, University Medicine Göttingen, Göttingen, Germany
- Department of Neuroradiology, Universitätsspital Basel, Basel, Switzerland
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75
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Droś J, Kowalska K, Pasińska P, Szyper-Maciejowska A, Gorzkowska A, Klimkowicz-Mrowiec A. Delirium Post-Stroke-Influence on Post-Stroke Dementia (Research Study-Part of the PROPOLIS Study). J Clin Med 2020; 9:jcm9072165. [PMID: 32659885 PMCID: PMC7408906 DOI: 10.3390/jcm9072165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/23/2020] [Accepted: 07/07/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Previous research confirmed association between delirium and subsequent dementia in different clinical settings, but the impact of post-stroke delirium on cognitive functioning is still under-investigated. Therefore, we aimed to assess the risk of dementia among patients with stroke and in-hospital delirium. METHODS A total of 750 consecutive patients admitted to the stroke unit with acute stroke or transient ischemic attacks were screened for delirium, during the first seven days after admission. At the three- and twelve-month follow-up, patients underwent cognitive evaluation. The DSM-5 definition for dementia was used. Cases with pre-stroke dementia were excluded from the analysis. RESULTS Out of 691 included cases, 423 (61.22%) and 451 (65.27%) underwent cognitive evaluation, three and twelve months after stroke; 121 (28.61%) and 151 (33.48%) patients were diagnosed with dementia, respectively. Six (4.96%) patients with dementia, three months post-stroke did not meet the diagnostic criteria for dementia nine months later. After twelve months, 37 (24.50%) patients were diagnosed with dementia, first time after stroke. Delirium in hospital was an independent risk factor for dementia after three months (OR = 7.267, 95%CI 2.182-24.207, p = 0.001) but not twelve months after the stroke. CONCLUSIONS Patients with stroke complicated by in-hospital delirium are at a higher risk for dementia at three but not twelve months post-stroke.
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Affiliation(s)
- Jakub Droś
- Doctoral School in Medical and Health Sciences, Jagiellonian University Medical College, 31-008 Kraków, Poland;
| | - Katarzyna Kowalska
- Department of Neurology, Faculty of Medicine, Jagiellonian University Medical College, 31-008 Kraków, Poland; (K.K.); (P.P.)
| | - Paulina Pasińska
- Department of Neurology, Faculty of Medicine, Jagiellonian University Medical College, 31-008 Kraków, Poland; (K.K.); (P.P.)
| | | | - Agnieszka Gorzkowska
- Department of Neurorehabilitation, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-055 Katowice, Poland;
| | - Aleksandra Klimkowicz-Mrowiec
- Department of Neurology, Faculty of Medicine, Jagiellonian University Medical College, 31-008 Kraków, Poland; (K.K.); (P.P.)
- Correspondence: ; Tel.: +48-12-424-86-35
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76
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Yatawara C, Guevarra AC, Ng KP, Chander R, Lam BYK, Wong A, Mok V, Kandiah N. The role of cerebral microbleeds in the incidence of post-stroke dementia. J Neurol Sci 2020; 412:116736. [DOI: 10.1016/j.jns.2020.116736] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 02/14/2020] [Accepted: 02/14/2020] [Indexed: 11/26/2022]
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Investigating APOE, APP-Aβ metabolism genes and Alzheimer's disease GWAS hits in brain small vessel ischemic disease. Sci Rep 2020; 10:7103. [PMID: 32345996 PMCID: PMC7188838 DOI: 10.1038/s41598-020-63183-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 02/13/2020] [Indexed: 12/24/2022] Open
Abstract
Alzheimer’s disease and small vessel ischemic disease frequently co-exist in the aging brain. However, pathogenic links between these 2 disorders are yet to be identified. Therefore we used Taqman genotyping, exome and RNA sequencing to investigate Alzheimer’s disease known pathogenic variants and pathways: APOE ε4 allele, APP-Aβ metabolism and late-onset Alzheimer’s disease main genome-wide association loci (APOE, BIN1, CD33, MS4A6A, CD2AP, PICALM, CLU, CR1, EPHA1, ABCA7) in 96 early-onset small vessel ischemic disease Caucasian patients and 368 elderly neuropathologically proven controls (HEX database) and in a mouse model of cerebral hypoperfusion. Only a minority of patients (29%) carried APOE ε4 allele. We did not detect any pathogenic mutation in APP, PSEN1 and PSEN2 and report a burden of truncating mutations in APP-Aß degradation genes. The single-variant association test identified 3 common variants with a likely protective effect on small vessel ischemic disease (0.54>OR > 0.32, adj. p-value <0.05) (EPHA1 p.M900V and p.V160A and CD33 p.A14V). Moreover, 5/17 APP-Aß catabolism genes were significantly upregulated (LogFC > 1, adj. p-val<0.05) together with Apoe, Ms4a cluster and Cd33 during brain hypoperfusion and their overexpression correlated with the ischemic lesion size. Finally, the detection of Aβ oligomers in the hypoperfused hippocampus supported the link between brain ischemia and Alzheimer’s disease pathology.
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78
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Hagberg G, Fure B, Thommessen B, Ihle-Hansen H, Øksengård AR, Nygård S, Pendlebury ST, Beyer MK, Wyller TB, Ihle-Hansen H. Predictors for Favorable Cognitive Outcome Post-Stroke: A-Seven-Year Follow-Up Study. Dement Geriatr Cogn Disord 2020; 48:45-55. [PMID: 31461703 DOI: 10.1159/000501850] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 07/01/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND PURPOSE Knowledge of the burden and development of post-stroke cognitive impairments (CIs) in the long-term after the first event is limited. We aimed to assess the prevalence of mild CI (MCI) and dementia 7 years after first-ever stroke or transient ischemic attack (TIA), to subclassify the impairments, and to identify predictors for a favorable cognitive outcome. MATERIALS AND METHODS During 2007 and 2008, 208 patients with first-ever stroke or TIA without preexisting CI were included. After 1 and 7 years, survivors were invited to a follow-up. Transitions of cognitive status from 1 to 7 years were recorded based on the 3 categories dementia, MCI, or none. Etiologic subclassification was based on clinical cognitive profile, magnetic resonance imaging (MRI) findings, and biomarkers at both time points. Favorable outcome was defined as normal cognitive function or MCI after 7 years with exclusion of those who had progression from normal to MCI. RESULTS Eighty patients died during follow-up, 12 patients refused further participation. After 7 years, 109 completed follow-up of whom 40 (37%) were diagnosed with MCI and 24 (22%) with dementia. Of the 64 patients diagnosed with CI, 9 were subclassified with degenerative cognitive disease, 13 with vascular disease, and 42 had mixed cognitive disease. In all, 65 patients (60%) had a favorable outcome. In multivariable logistic regression analysis, lower age and lower medial temporal lobe atrophy (MTLA) grade on MRI at 12 months were independently associated with a favorable outcome, adjusted OR (95% CI), 0.94 (0.86-0.92), and 0.55 (0.35-0.85), respectively. CONCLUSIONS Sixty percent of stroke survivors have a favorable cognitive outcome. Lower age and lower MTLA grade on MRI were associated with favorable outcome.
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Affiliation(s)
- Guri Hagberg
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway, .,Institute of Clinical Medicine, University of Oslo, Oslo, Norway,
| | - Brynjar Fure
- Department of Internal Medicine, Karlstad Central Hospital and Institute of Public Health, University of Tromsoe, Tromsoe, Norway
| | - Bente Thommessen
- Department of Neurology, Akershus University Hospital, Akershus, Norway
| | - Håkon Ihle-Hansen
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anne-Rita Øksengård
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway
| | - Ståle Nygård
- Bioinformatics Core Facility, Institute for Cancer Research, Oslo University Hospital and Department of Informatics, University of Oslo, Oslo, Norway
| | - Sarah T Pendlebury
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, NIHR Oxford Biomedical Research Centre, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Mona K Beyer
- Department of Radiology and Nuclear Medicine and Institute of Clinical Medicine, University of Oslo, Oslo University Hospital, Oslo, Norway
| | - Torgeir Bruun Wyller
- Department of Geriatric Medicine, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Hege Ihle-Hansen
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway.,Department of Geriatric Medicine, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Deems NP, Leuner B. Pregnancy, postpartum and parity: Resilience and vulnerability in brain health and disease. Front Neuroendocrinol 2020; 57:100820. [PMID: 31987814 PMCID: PMC7225072 DOI: 10.1016/j.yfrne.2020.100820] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 11/25/2019] [Accepted: 01/21/2020] [Indexed: 02/07/2023]
Abstract
Risk and resilience in brain health and disease can be influenced by a variety of factors. While there is a growing appreciation to consider sex as one of these factors, far less attention has been paid to sex-specific variables that may differentially impact females such as pregnancy and reproductive history. In this review, we focus on nervous system disorders which show a female bias and for which there is data from basic research and clinical studies pointing to modification in disease risk and progression during pregnancy, postpartum and/or as a result of parity: multiple sclerosis (MS), depression, stroke, and Alzheimer's disease (AD). In doing so, we join others (Shors, 2016; Galea et al., 2018a) in aiming to illustrate the importance of looking beyond sex in neuroscience research.
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Affiliation(s)
- Nicholas P Deems
- The Ohio State University, Department of Psychology, Columbus, OH, USA
| | - Benedetta Leuner
- The Ohio State University, Department of Psychology, Columbus, OH, USA.
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80
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Manolis TA, Manolis AA, Apostolopoulos EJ, Melita H, Manolis AS. Atrial Fibrillation and Cognitive Impairment: An Associated Burden or Burden by Association? Angiology 2020; 71:498-519. [DOI: 10.1177/0003319720910669] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Growing evidence suggests that atrial fibrillation (AF), in addition to its thromboembolic risk, is a risk factor for cognitive impairment (CI) via several pathways and mechanisms, further contributing to morbidity/mortality. Prior stroke is a contributor to CI, but AF is also associated with CI independently from prior stroke. Silent brain infarctions, microemboli and microbleeds, brain atrophy, cerebral hypoperfusion from widely fluctuating ventricular rates, altered hemostatic function, vascular oxidative stress, and inflammation may all exacerbate CI, particularly in patients with persistent/permanent rather than paroxysmal AF and with increased duration/burden of the arrhythmia. Brain magnetic resonance imaging is an important screening tool in eliciting and monitoring vascular and nonvascular lesions contributing to CI. Evidence is also emerging about the role of genetics in CI development. Anticoagulation and rhythm/rate control strategies may protect against CI preventing or slowing its progression or conversion to dementia, particularly at the early stages when CI may still be a treatable condition. Importantly, AF and CI share many common risk factors. Thus, screening for these 2 conditions and searching for and managing modifiable risk factors and potentially reversible causes for both AF and CI remains an important step toward prevention or amelioration of the impact incurred by these 2 conditions.
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Affiliation(s)
| | | | | | | | - Antonis S. Manolis
- First and Third Department of Cardiology, Athens University School of Medicine, Athens, Greece
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81
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Liang Y, Chen YK, Liu YL, Mok VCT, Ungvari GS, Chu WCW, Seo SW, Tang WK. Cerebral Small Vessel Disease Burden Is Associated With Accelerated Poststroke Cognitive Decline: A 1-Year Follow-Up Study. J Geriatr Psychiatry Neurol 2019; 32:336-343. [PMID: 31480986 DOI: 10.1177/0891988719862630] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVE This study investigated the association between small vessel disease (SVD) burden, a combination of multiple SVD markers and cognitive dysfunction after stroke. METHODS The study sample comprised 451 patients with first-ever acute ischemic stroke. Cognitive functions were assessed with the Mini-Mental State Examination (MMSE) at 3, 9, and 15 months after the index stroke. Cognitive impairment was defined as an MMSE score of ≤26. A total SVD score, indicating SVD burden, was constructed by summing the scores of the 4 SVD markers (white matter hyperintensities [WMHs], lacunes, cerebral microbleeds, and perivascular spaces) ascertained by magnetic resonance imaging (range: 0-4). The association between SVD burden and cognitive dysfunction was assessed with linear mixed models or generalized estimating equation models, as appropriate. RESULTS The majority of patients had mild-to-moderate stroke and at least one identifiable SVD marker. Cognitive impairment was found in about one-third of patients. After adjusting for confounding factors, the SVD burden was associated with MMSE scores (β = -0.37, P = .003) and cognitive impairment (odds ratio [OR] = 1.20, 95% confidence interval [CI] = 1.02-1.42). SVD burden was specifically associated with the performance of MMSE subscores including orientation to place and time, calculation, and word recall. Of the SVD markers, WMHs was the most robust predictor of decrease in MMSE scores (β = -0.25, P = .01) and cognitive impairment (OR = 1.14, 95% CI = 1.01-1.29). CONCLUSION Cerebral SVD burden is associated with decreased MMSE scores, suggesting cognitive dysfunction during the first year after mild-to-moderate acute ischemic stroke.
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Affiliation(s)
- Yan Liang
- 1 Department of Neurology, the First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China.,2 Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Yang-Kun Chen
- 3 Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Yong-Lin Liu
- 3 Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Vincent C T Mok
- 4 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Gabor S Ungvari
- 5 University of Notre Dame Australia/Graylands Hospital, Perth, Australia
| | - Winnie C W Chu
- 6 Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Sang Won Seo
- 7 Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Suwon, Korea
| | - Wai-Kwong Tang
- 2 Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, SAR, China
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Khlif MS, Werden E, Egorova N, Boccardi M, Redolfi A, Bird L, Brodtmann A. Assessment of longitudinal hippocampal atrophy in the first year after ischemic stroke using automatic segmentation techniques. NEUROIMAGE-CLINICAL 2019; 24:102008. [PMID: 31711030 PMCID: PMC6849411 DOI: 10.1016/j.nicl.2019.102008] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 08/21/2019] [Accepted: 09/17/2019] [Indexed: 12/11/2022]
Abstract
First-year hippocampal atrophy in stroke is more accelerated ipsi-lesionally. Volume estimation is not impacted by hemisphere side, study group, or scan timepoint. Segmentation method-hippocampal size interaction determines volume estimation. FreeSurfer/Subfields and fsl/FIRST segmentations agreed best with manual tracing.
We assessed first-year hippocampal atrophy in stroke patients and healthy controls using manual and automated segmentations: AdaBoost, FIRST (fsl/v5.0.8), FreeSurfer/v5.3 and v6.0, and Subfields (in FreeSurfer/v6.0). We estimated hippocampal volumes in 39 healthy controls and 124 stroke participants at three months, and 38 controls and 113 stroke participants at one year. We used intra-class correlation, concordance, and reduced major axis regression to assess agreement between automated and ‘Manual’ estimations. A linear mixed-effect model was used to characterize hippocampal atrophy. Overall, hippocampal volumes were reduced by 3.9% in first-ever stroke and 9.2% in recurrent stroke at three months post-stroke, with comparable ipsi-and contra-lesional reductions in first-ever stroke. Mean atrophy rates between time points were 0.5% for controls and 1.0% for stroke patients (0.6% contra-lesionally, 1.4% ipsi-lesionally). Atrophy rates in left and right-hemisphere strokes were comparable. All methods revealed significant volume change in first-ever and ipsi-lesional stroke (p < 0.001). Hippocampal volume estimation was not impacted by hemisphere, study group, or scan time point, but rather, by the interaction between the automated segmentation method and hippocampal size. Compared to Manual, Subfields and FIRST recorded the lowest bias. FreeSurfer/v5.3 overestimated volumes the most for large hippocampi, while FIRST was the most accurate in estimating small volumes. AdaBoost performance was average. Our findings suggest that first-year ipsi-lesional hippocampal atrophy rate especially in first-ever stroke, is greater than atrophy rates in healthy controls and contra-lesional stroke. Subfields and FIRST can complementarily be effective in characterizing the hippocampal atrophy in healthy and stroke cohorts.
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Affiliation(s)
- Mohamed Salah Khlif
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Emilio Werden
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Natalia Egorova
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Marina Boccardi
- LANVIE-Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Alberto Redolfi
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Laura Bird
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Amy Brodtmann
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia; Department of Neurology, Austin Health, Heidelberg, Victoria, Australia
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83
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Ouyang F, Chen X, Chen Y, Liang J, Chen Y, Lu T, Huang W, Zeng J. Neuronal loss without amyloid-β deposits in the thalamus and hippocampus in the late period after middle cerebral artery occlusion in cynomolgus monkeys. Brain Pathol 2019; 30:165-178. [PMID: 31278793 DOI: 10.1111/bpa.12764] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/01/2019] [Indexed: 11/30/2022] Open
Abstract
Conflicting evidence exists regarding whether focal cerebral infarction contributes to cerebral amyloid-β (Aβ) deposition, as observed in Alzheimer's disease. In this study, we aimed to evaluate the presence of Aβ deposits in the ipsilateral thalamus and hippocampus 12 months post-stroke in non-human primates, whose brains are structurally and functionally similar to that of humans. Four young male cynomolgus monkeys were subjected to unilateral permanent middle cerebral artery occlusion (MCAO), and another four sham-operated monkeys served as controls. All monkeys underwent magnetic resonance imaging examination on post-operative day 7 to assess the location and size of the infarction. The numbers of neurons, astrocytes, microglia and the Aβ load in the non-affected thalamus and hippocampus ipsilaterally remote from infarct foci were examined immunohistochemically at sacrifice 12 months after operation. Thioflavin S and Congo Red stainings were used to identify amyloid deposits. Multiple Aβ antibodies recognizing both the N-terminal and C-terminal epitopes of Aβ peptides were used to avoid antibody cross-reactivity. Aβ levels in cerebrospinal fluid (CSF) and plasma were examined using enzyme-linked immunosorbent assay. The initial infarct was restricted to the left temporal, parietal, insular cortex and the subcortical white matter, while the thalamus and hippocampus remained intact. Of note, there were fewer neurons and more glia in the ipsilateral thalamus and hippocampus in the MCAO group at 12 months post-stroke compared to the control group (all P < 0.05). However, there was no sign of extracellular Aβ plaques in the thalamus or hippocampus. No statistically significant difference was found in CSF or plasma levels of Aβ40 , Aβ42 or the Aβ40 /Aβ42 ratio between the two groups (P > 0.05). These results suggest that significant secondary neuronal loss and reactive gliosis occur in the non-affected thalamus and hippocampus without Aβ deposits in the late period after MCAO in non-human primates.
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Affiliation(s)
- Fubing Ouyang
- Department of Neurology and Stroke Center, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xinran Chen
- Department of Neurology and Stroke Center, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yonghong Chen
- Department of Neurology and Stroke Center, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiahui Liang
- Department of Neurology and Stroke Center, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yicong Chen
- Department of Neurology and Stroke Center, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Lu
- Department of Neurology and Stroke Center, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Weixian Huang
- Department of Neurology and Stroke Center, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jinsheng Zeng
- Department of Neurology and Stroke Center, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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84
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Abstract
The notion of what qualifies as vascular dementia has varied greatly since the first mention of dementia after apoplexy in ancient literature. Current insight points towards a multifactorial cause of cognitive decline at old age, in which vascular components like atherosclerosis, arterio(lo)sclerosis, (micro)infarcts, and amyloid angiopathy play an important role alongside other markers of neurodegeneration. Cerebrovascular disease will be present in most individuals with dementia, but-just like other causes-rarely a cause on its own. The consequent limitations of nosology may be alleviated by addition of a vascular component to the recently introduced amyloid/tau/neurodegeneration etiological classification system for dementia. Meanwhile, risk of dementia is increased about 2-fold after stroke, and the prevention of (recurrent) stroke remains a cornerstone in the prevention of vascular dementia. Similarly, control of cardiovascular risk factors from middle age onwards is likely to have contributed to the reported decline in the age-specific incidence of dementia over the past decades. In conjunction with experimental studies, large-scale observational evidence from imaging, genomics, metabolomics, and alike will continue to improve our understanding of the underlying pathophysiological processes. To prevent ecological fallacies, such etiological studies in patients with dementia are best served by inclusion of subjects regardless of the presumed (single) cause of their disease.
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Affiliation(s)
- Frank J Wolters
- From the Department of Epidemiology (F.J.W., M.A.I.), Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Neurology (F.J.W.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- From the Department of Epidemiology (F.J.W., M.A.I.), Erasmus University Medical Center, Rotterdam, the Netherlands
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Li CH, Chang YH, Chou MC, Chen CH, Ho BL, Hsieh SW, Yang YH. Factors of post-stroke dementia: A nationwide cohort study in Taiwan. Geriatr Gerontol Int 2019; 19:815-822. [PMID: 31267646 DOI: 10.1111/ggi.13725] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 04/14/2019] [Accepted: 05/29/2019] [Indexed: 11/29/2022]
Abstract
AIM We investigated the long-term risk of dementia for up to 10 years in patients with stroke and broadened the correlates. METHODS We carried out a case-control study using the Taiwan National Health Insurance Research database in 2000 with a sampled population of 1 million. The study cohort comprised 8236 patients with stroke and no dementia history. We carried out a 1:1 case-control matched analysis on estimated propensity scores. Cox proportional hazards regressions were carried out to estimate the risk of dementia during the 5- and 10-year follow-up periods. The risk factors were also investigated. RESULTS The stroke cohort was significantly at more risk of dementia during the 5- and 10-year follow-up periods, with adjusted hazard ratios 1.87 and 1.53, respectively. The patients with ischemic stroke, transient ischemic attack and intracerebral hemorrhage had a significantly higher risk of dementia after 5 and 10 years, with adjusted hazard ratios of 1.81 and 1.49, 1.92 and 1.61, and 2.14 and 1.61, respectively. The significant risk factors of dementia were age ≥60 years, resident in southern and eastern regions, having low insurance range, and antiplatelet use. CONCLUSIONS Stroke and the subtypes, including ischemic stroke, transient ischemic attack and intracerebral hemorrhage, increase the long-term risk of dementia. The incidence of post-stroke dementia increases yearly, but the relative risk decreases gradually. Older adults, residents in southern and eastern regions, having low insurance range and antiplatelet use were prominent risk factors of post-stroke dementia in Taiwan. Careful management of stroke and risk factors of post-stroke dementia with long-term follow up of cognition should be reinforced. Geriatr Gerontol Int 2019; 19: 815-822.
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Affiliation(s)
- Chien-Hsun Li
- Department of Neurology, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Yu-Han Chang
- Center of Teaching and Research, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Mei-Chuan Chou
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.,Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Chun-Hung Chen
- Department of Neurology, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Bo-Lin Ho
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Sheng-Wen Hsieh
- Department of Neurology, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.,Department of Master's Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
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86
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Chen Y, Liang J, Ouyang F, Chen X, Lu T, Jiang Z, Li J, Li Y, Zeng J. Persistence of Gut Microbiota Dysbiosis and Chronic Systemic Inflammation After Cerebral Infarction in Cynomolgus Monkeys. Front Neurol 2019; 10:661. [PMID: 31316450 PMCID: PMC6611357 DOI: 10.3389/fneur.2019.00661] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 06/05/2019] [Indexed: 01/27/2023] Open
Abstract
Background: The bidirectional interaction between the gut and brain after stroke through the immune-mediated pathway has been studied. However, the long-term effects of gut microbiota and systemic immune homeostasis after cerebral ischemia remain unclear. We examined long-term changes in the gut microbiota and systemic inflammatory cytokines after cerebral infarction in cynomolgus monkeys. Methods: Twelve monkeys underwent successful distal M1 segment of the left middle cerebral artery occlusion (MCAO) and were randomly and equally assigned to the MCAO-1.5 m, MCAO-6 m, and MCAO-12 m groups, which were sacrificed 1.5, 6, and 12 months after cerebral infarction induction, respectively. Four monkeys that underwent a sham operation were sacrificed 12 months later. The gut microbiota and short-chain fatty acids (SCFAs) were analyzed by 16S rDNA sequencing and gas chromatography mass spectrometry, respectively. Histological examinations of the transverse colon were performed. Plasma D-lactate, zonulin, lipopolysaccharide (LPS), tumor necrosis factor (TNF-α), interferon (IFN)-γ, and interleukin (IL)-6 were detected by immunoassay kits. Results: The levels of the Bacteroidetes phylum and Prevotella genus were significantly increased, while the Firmicutes phylum as well as the Faecalibacterium, Oscillospira, and Lactobacillus genera were decreased after cerebral infarction. Gut-originating SCFAs were significantly decreased 6 and 12 months after cerebral infarction (P < 0.05). We observed intestinal mucosal damage, evaluated by Chiu's score. Plasma D-lactate, zonulin, LPS, TNF-α, IFN-γ, and IL-6 were significantly increased after cerebral infarction (P < 0.05). Additionally, the increases in plasma LPS, TNF-α, IFN-γ, and IL-6 after cerebral infarction coincided with overgrowth of the Bacteroidetes phylum (P < 0.001). Conclusion: Cerebral infarction induces persistent host gut microbiota dysbiosis, intestinal mucosal damage, and chronic systemic inflammation in cynomolgus monkeys.
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Affiliation(s)
- Yonghong Chen
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiahui Liang
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Fubing Ouyang
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xinran Chen
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Lu
- Department of Neurology, Liuzhou Worker's Hospital, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China
| | - Zimu Jiang
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jianle Li
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yuefeng Li
- Guangdong Landau Biotechnology Co., Ltd., Guangzhou, China
| | - Jinsheng Zeng
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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87
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Abstract
Proper functioning of the brain is dependent on integrity of the cerebral vasculature. During ageing, a number of factors including aortic or arterial stiffness, autonomic dysregulation, neurovascular uncoupling and blood-brain barrier (BBB) damage will define the dynamics of brain blood flow and local perfusion. The nature and extent of ageing-related cerebrovascular changes, the degree of involvement of the heart and extracranial vessels and the consequent location of tissue pathology may vary considerably. Atheromatous disease retarding flow is a common vascular insult, which increases exponentially with increasing age. Arteriolosclerosis characterized as a prominent feature of small vessel disease is one of the first changes to occur during the natural history of cerebrovascular pathology. At the capillary level, the cerebral endothelium, which forms the BBB undergoes changes including reduced cytoplasm, fewer mitochondria, loss of tight junctions and thickened basement membranes with collagenosis. Astrocyte end-feet protecting the BBB retract as part of the clasmatodendrotic response whereas pericyte coverage is altered. The consequences of these microvascular changes are lacunar infarcts, cortical and subcortical microinfarcts, microbleeds and diffuse white matter disease, which involves myelin loss and axonal abnormalities. The deeper structures are particularly vulnerable because of the relatively reduced density of the microvascular network formed by perforating and penetrating end arteries. Ultimately, the integrity of both the neurovascular and gliovascular units is compromised such that there is an overall synergistic effect reflecting on ageing associated cerebral perfusion and permeability. More than one protagonist appears to be involved in ageing-related cognitive dysfunction characteristically associated with the neurocognitive disorders.
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88
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Lam BYK, Mok VCT. Is vascular cognitive impairment more common in Asia? Asian J Psychiatr 2019; 43:202-204. [PMID: 29150388 DOI: 10.1016/j.ajp.2017.03.043] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 03/30/2017] [Accepted: 03/31/2017] [Indexed: 11/16/2022]
Affiliation(s)
- Bonnie Yin Ka Lam
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong Special Administrative Region
| | - Vincent Chung Tong Mok
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong Special Administrative Region.
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89
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Banerjee G, Chan E, Ambler G, Wilson D, Cipolotti L, Shakeshaft C, Cohen H, Yousry T, Lip GYH, Muir KW, Brown MM, Jäger HR, Werring DJ. Effect of small-vessel disease on cognitive trajectory after atrial fibrillation-related ischaemic stroke or TIA. J Neurol 2019; 266:1250-1259. [PMID: 30847646 PMCID: PMC6469837 DOI: 10.1007/s00415-019-09256-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 02/16/2019] [Accepted: 02/19/2019] [Indexed: 01/12/2023]
Abstract
Post-stroke dementia is common but has heterogenous mechanisms that are not fully understood, particularly in patients with atrial fibrillation (AF)-related ischaemic stroke or TIA. We investigated the relationship between MRI small-vessel disease markers (including a composite cerebral amyloid angiopathy, CAA, score) and cognitive trajectory over 12 months. We included patients from the CROMIS-2 AF study without pre-existing cognitive impairment and with Montreal Cognitive Assessment (MoCA) data. Cognitive impairment was defined as MoCA < 26. We defined “reverters” as patients with an “acute” MoCA (immediately after the index event) score < 26, who then improved by ≥ 2 points at 12 months. In our cohort (n = 114), 12-month MoCA improved overall relative to acute performance (mean difference 1.69 points, 95% CI 1.03–2.36, p < 0.00001). 12-month cognitive impairment was associated with increasing CAA score (per-point increase, adjusted OR 4.09, 95% CI 1.36–12.33, p = 0.012). Of those with abnormal acute MoCA score (n = 66), 59.1% (n = 39) were “reverters”. Non-reversion was associated with centrum semi-ovale perivascular spaces (per-grade increase, unadjusted OR 1.83, 95% CI 1.06–3.15, p = 0.03), cerebral microbleeds (unadjusted OR 10.86, 95% CI 1.22–96.34, p = 0.03), and (negatively) with multiple ischaemic lesions at baseline (unadjusted OR 0.11, 95% CI 0.02–0.90, p = 0.04), as well as composite small-vessel disease (per-point increase, unadjusted OR 2.91, 95% CI 1.23–6.88, p = 0.015) and CAA (per-point increase, unadjusted OR 6.71, 95% CI 2.10–21.50, p = 0.001) scores. In AF-related acute ischaemic stroke or TIA, cerebral small-vessel disease is associated both with cognitive performance at 12 months and failure to improve over this period.
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Affiliation(s)
- Gargi Banerjee
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK
| | - Edgar Chan
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Gareth Ambler
- Department of Statistical Science, University College London, Gower Street, London, UK
| | - Duncan Wilson
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK.,New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Lisa Cipolotti
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Clare Shakeshaft
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK
| | - Hannah Cohen
- Haemostasis Research Unit, Department of Haematology, University College London, 51 Chenies Mews, London, UK
| | - Tarek Yousry
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Queen Square, London, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, UK.,Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Keith W Muir
- Institute of Neuroscience and Psychology, University of Glasgow, Queen Elizabeth University Hospital, Glasgow, UK
| | - Martin M Brown
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK
| | - Hans Rolf Jäger
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Queen Square, London, UK
| | - David J Werring
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK.
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90
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Pendlebury ST, Rothwell PM. Incidence and prevalence of dementia associated with transient ischaemic attack and stroke: analysis of the population-based Oxford Vascular Study. Lancet Neurol 2019; 18:248-258. [PMID: 30784556 PMCID: PMC6390174 DOI: 10.1016/s1474-4422(18)30442-3] [Citation(s) in RCA: 307] [Impact Index Per Article: 61.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 11/05/2018] [Accepted: 11/06/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Risk of dementia after stroke is a major concern for patients and carers. Reliable data for risk of dementia, particularly after transient ischaemic attack or minor stroke, are scarce. We studied the risks of, and risk factors for, dementia before and after transient ischaemic attack and stroke. METHODS The Oxford Vascular Study is a prospective incidence study of all vascular events in a population of 92 728 people residing in Oxfordshire, UK. Patients with transient ischaemic attack or stroke occurring between April 1, 2002, and March 31, 2012, were ascertained with multiple methods, including assessment in a dedicated daily emergency clinic and daily review of all hospital admissions. Pre-event and post-event (incident) dementia were diagnosed at initial assessment and during 5-years' follow-up on the basis of cognitive testing supplemented by data obtained from hand searches of all hospital and primary care records. We assessed the association between post-event dementia and stroke severity (as measured with the US National Institutes of Health Stroke Scale [NIHSS] score), location (ie, dysphasia), previous events, markers of susceptibility or reserve (age, low education, pre-morbid dependency, leucoaraiosis), baseline cognition, and vascular risk factors with Cox regression models adjusted for age, sex, and education. We compared incidence and prevalence of dementia in our population with published UK population age-matched and sex-matched rates. FINDINGS Among 2305 patients (mean age 74·4 years [SD 13·0]), 688 (30%) had transient ischaemic attacks and 1617 (70%) had strokes. Pre-event dementia was diagnosed in 225 patients; prevalence was highest in severe stroke (ie, NIHSS >10) and lowest in transient ischaemic attack. Of 2080 patients without pre-event dementia, 1982 (95%) were followed up to the end of study or death. Post-event dementia occurred in 432 of 2080 patients during 5 years of follow-up. The incidence of post-event dementia at 1 year was 34·4% (95% CI 29·7-41·5) in patients with severe stroke (NIHSS score >10), 8·2% (6·2-10·2) in those with minor stroke (NIHSS score <3), and 5·2% (3·4-7·0) in those with transient ischaemic attack. Compared with the UK age-matched and sex-matched population, the 1-year standardised morbidity ratio for the incidence of dementia was 47·3 (95% CI 35·9-61·2), 5·8 (4·4-7·5), and 3·5 (2·5-4·8), respectively. Consequently, prevalence of dementia in 1-year survivors was brought forward by approximately 25 years in those who had severe strokes, 4 years in those who had minor strokes, and 2 years in those who had transient ischaemic attacks. 5-year risk of dementia was associated with age, event severity, previous stroke, dysphasia, baseline cognition, low education, pre-morbid dependency, leucoaraiosis, and diabetes (p<0·0001 for all comparisons, except for previous stroke [p=0·006]). INTERPRETATION The incidence of dementia in patients who have had a transient ischaemic attack or stroke varies substantially depending on clinical characteristics including lesion burden and susceptibility factors. Incidence of dementia is nearly 50 times higher in the year after a major stroke compared with that in the general population, but excess risk is substantially lower after transient ischaemic attack and minor stroke. FUNDING Wellcome Trust, Wolfson Foundation, British Heart Foundation, National Institute for Health Research, and the National Institute for Health Research Oxford Biomedical Research Centre.
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Affiliation(s)
- Sarah T Pendlebury
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital and University of Oxford, Oxford, UK.
| | - Peter M Rothwell
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital and University of Oxford, Oxford, UK
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91
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Topiwala A, Suri S, Allan C, Valkanova V, Filippini N, Sexton CE, Heise V, Zsoldos E, Mahmood A, Singh-Manoux A, Mackay CE, Kivimäki M, Ebmeier KP. Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study. PLoS One 2019; 14:e0211273. [PMID: 30779761 PMCID: PMC6380585 DOI: 10.1371/journal.pone.0211273] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 01/10/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND There is significant heterogeneity in the clinical expression of structural brain abnormalities, including Alzheimer's disease biomarkers. Some individuals preserve their memory despite the presence of risk factors or pathological brain changes, indicating resilience. We aimed to test whether resilient individuals could be distinguished from those who develop cognitive impairment, using sociodemographic variables and neuroimaging. METHODS We included 550 older adults participating in the Whitehall II study with longitudinal data, cognitive test results, and multi-modal MRI. Hippocampal atrophy was defined as Scheltens Scores >0. Resilient individuals (n = 184) were defined by high cognitive performance despite hippocampal atrophy (HA). Non-resilient participants (n = 133) were defined by low cognitive performance (≥1.5 standard deviations (S.D.) below the group mean) in the presence of HA. Dynamic and static exposures were evaluated for their ability to predict later resilience status using multivariable logistic regression. In a brain-wide analysis we tested for group differences in the integrity of white matter (structural connectivity) and resting-state networks (functional connectivity). FINDINGS Younger age (OR: 0.87, 95% CI: 0.83 to 0.92, p<0.001), higher premorbid FSIQ (OR: 1.06, 95% CI: 1.03 to 1.10, p<0.0001) and social class (OR 1 vs. 3: 4.99, 95% CI: 1.30 to 19.16, p = 0.02, OR 2 vs. 3: 8.43, 95% CI: 1.80 to 39.45, p = 0.007) were independently associated with resilience. Resilient individuals could be differentiated from non-resilient participants by higher fractional anisotropy (FA), and less association between anterior and posterior resting state networks. Higher FA had a significantly more positive effect on cognitive performance in participants with HA, compared to those without. CONCLUSIONS Resilient individuals could be distinguished from those who developed impairments on the basis of sociodemographic characteristics, brain structural and functional connectivity, but not midlife lifestyles. There was a synergistic deleterious effect of hippocampal atrophy and poor white matter integrity on cognitive performance. Exploiting and supporting neural correlates of resilience could offer a fresh approach to postpone or avoid the appearance of clinical symptoms.
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Affiliation(s)
- Anya Topiwala
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, Oxford, United Kingdom
| | - Charlotte Allan
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Vyara Valkanova
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Nicola Filippini
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Claire E. Sexton
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Verena Heise
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Abda Mahmood
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Archana Singh-Manoux
- Centre for Research in Epidemiology and Population Health, INSERM, Villejuif, France
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Clare E. Mackay
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Klaus P. Ebmeier
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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Dementia and Atrial Fibrillation: Pathophysiological Mechanisms and Therapeutic Implications. Am J Med 2018; 131:1408-1417. [PMID: 30076825 DOI: 10.1016/j.amjmed.2018.06.035] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 06/26/2018] [Accepted: 06/26/2018] [Indexed: 11/23/2022]
Abstract
Atrial fibrillation increases the risk of stroke by a factor of four- to fivefold, and dementia is a common consequence of stroke. However, atrial fibrillation has been associated with cognitive impairment and dementia, even in patients without prior overt stroke. Nonischemic mechanisms include cerebral hypoperfusion, vascular inflammation, brain atrophy, genetic factors, and shared risk factors such as age or hypertension. Critical appraisal of studies evaluating the association between atrial fibrillation and dementia in stroke-free patients reveals that several suffer from methodological issues, such as not including silent stroke or anticoagulation therapy in multivariate analyses. Some studies show a close relationship between atrial fibrillation and dementia due to silent stroke, in the absence of overt stroke. Evidence is accumulating that anticoagulation may be effective to decrease the risk of dementia in atrial fibrillation patients. Overall, the pathogenesis linking atrial fibrillation to dementia is likely multifactorial. Cerebral infarctions, including silent stroke, play a central role. These findings underscore the importance of stroke prevention measures in atrial fibrillation patients.
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93
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Thingstad P, Askim T, Beyer MK, Bråthen G, Ellekjær H, Ihle-Hansen H, Knapskog AB, Lydersen S, Munthe-Kaas R, Næss H, Pendlebury ST, Seljeseth YM, Saltvedt I. The Norwegian Cognitive impairment after stroke study (Nor-COAST): study protocol of a multicentre, prospective cohort study. BMC Neurol 2018; 18:193. [PMID: 30477436 PMCID: PMC6260901 DOI: 10.1186/s12883-018-1198-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 11/12/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Early and late onset post-stroke cognitive impairment (PCI) contributes substantially to disability following stroke, and is a high priority within stroke research. The aetiology for PCI is complex and related to the stroke itself, brain resilience, comorbid brain diseases, prestroke vulnerability and complications during the hospital stay. The aim of the Norwegian Cognitive Impairment After Stroke study (Nor-COAST) is to quantify and measure levels of cognitive impairments in a general Norwegian stroke population and to identify biological and clinical markers associated with prognosis for cognitive disorders following incident stroke. The study will be organised within five work packages: 1) Incidence and trajectories 2) Pathological mechanisms 3) Development of a risk score 4) Impact of physical activity and 5) Adherence to secondary prevention. METHODS Nor-COAST is an ongoing multicentre (five participating hospitals), prospective, cohort study with consecutive inclusion during the acute phase and with follow-up at three and 18 months, and at three years. Inclusion criteria are stroke defined according to the WHO criteria. During the recruitment period from 18.05.2015 to 31.03.2017, 816 participants have been included. Cognitive impairment will be classified according to the DSM-5 criteria using a consensus group. Cognitive function is assessed by a standardised neuropsychological test battery, the Montreal Cognitive Assessment, Trail making A and B, ten-word immediate and delayed recall test, the Controlled Oral Word Association, Global Deterioration Scale and proxy based information by and the Ascertain Dementia 8 item informant questionnaire. Biomarkers include magnetic resonance imaging, routine blood samples and bio-banking. Clinical assessments include characteristics of the stroke, comorbidity, delirium, frailty and tests for cognitive and physical function, sensor based activity monitoring and adherence to secondary prophylaxis. DISCUSSION Nor-COAST is the first Norwegian multicentre study to quantify burden of PCI that will provide reliable estimates in a general stroke population. A multidisciplinary approach aiming to identify biomarkers and clinical markers of overall prognosis will add new knowledge about risk profiles, including pre-stroke vulnerability and modifiable factors such as physical activity and secondary prophylaxis of relevance for clinical practice and later intervention studies. TRIAL REGISTRATION ClinicalTrials.gov: NCT02650531 . Retrospectively registered January 8, 2016. First participant included May 18, 2015.
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Affiliation(s)
- Pernille Thingstad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Torunn Askim
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Mona K. Beyer
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Geir Bråthen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology and Clin. Neurophysiology, St Olavs University hospital, Trondheim, Norway
| | - Hanne Ellekjær
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- Department of Internal Medicine, Stroke Unit, St. Olavs University Hospital, Trondheim, Norway
| | - Hege Ihle-Hansen
- Department of Geriatrics, Oslo University Hospital, Oslo, Norway
- Department of Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Drammen, Norway
| | | | - Stian Lydersen
- Department of Mental Health, Faculty of Medicine, Regional Centre for Child and Youth Mental Health and Child Care, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Ragnhild Munthe-Kaas
- Department of Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Drammen, Norway
| | - Halvor Næss
- Department of neurology, Haukeland University Hospital, Bergen, Norway
- Stavanger University Hospital, Stavanger, Norway
- Institute of clinical medicine, University of Bergen, Bergen, Norway
| | - Sarah T. Pendlebury
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | | | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- Department of Geriatrics, St. Olavs University Hospital, Trondheim, Norway
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Lau AY, Mok V, Lee J, Fan Y, Zeng J, Lam B, Wong A, Kwok C, Lai M, Zee B. Retinal image analytics detects white matter hyperintensities in healthy adults. Ann Clin Transl Neurol 2018; 6:98-105. [PMID: 30656187 PMCID: PMC6331948 DOI: 10.1002/acn3.688] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 09/13/2018] [Accepted: 10/10/2018] [Indexed: 01/20/2023] Open
Abstract
Objective We investigated whether an automatic retinal image analysis (ARIA) incorporating machine learning approach can identify asymptomatic older adults harboring high burden of white matter hyperintensities (WMH) using MRI as gold standard. Methods In this cross-sectional study, we evaluated 180 community-dwelling, stroke-, and dementia-free healthy subjects and performed ARIA by acquiring a nonmydriatic retinal fundus image. The primary outcome was the diagnostic performance of ARIA in detecting significant WMH on MRI brain, defined as age-related white matter changes (ARWMC) grade ≥2. We analyzed both clinical variables and retinal characteristics using logistic regression analysis. We developed a machine learning network model with ARIA to estimate WMH and its classification. Results All 180 subjects completed MRI and ARIA. The mean age was 70.3 ± 4.5 years, 70 (39%) were male. Risk factor profiles were: 106 (59%) hypertension, 31 (17%) diabetes, and 47 (26%) hyperlipidemia. Severe WMH (global ARWMC grade ≥2) was found in 56 (31%) subjects. The performance for detecting severe WMH with sensitivity (SN) 0.929 (95% CI from 0.819 to 0.977) and specificity (SP) 0.984 (95% CI from 0.937 to 0.997) was excellent. There was a good correlation between WMH volume (log-transformed) obtained from MRI versus those estimated from retinal images using ARIA with a correlation coefficient of 0.897 (95% CI from 0.864 to 0.922). Interpretation We developed a robust algorithm to automatically evaluate retinal fundus image that can identify subjects with high WMH burden. Further community-based prospective studies should be performed for early screening of population at risk of cerebral small vessel disease.
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Affiliation(s)
- Alexander Y Lau
- Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.,Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong
| | - Vincent Mok
- Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.,Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong
| | - Jack Lee
- Clinical Trials and Biostatistics Lab CUHK Shenzhen Research Institute Shenzhen China.,Division of Biostatistics Jockey Club School of Public Health and Primary Care Faculty of Medicine The Chinese University of Hong Kong New Territories Hong Kong
| | - Yuhua Fan
- Department of Neurology First Affiliated Hospital of Sun Yat-Sen University Guangzhou Guangdong China.,Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department National Key Discipline Guangzhou 510080 China
| | - Jinsheng Zeng
- Department of Neurology First Affiliated Hospital of Sun Yat-Sen University Guangzhou Guangdong China.,Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department National Key Discipline Guangzhou 510080 China
| | - Bonnie Lam
- Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.,Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong
| | - Adrian Wong
- Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.,Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong
| | - Chloe Kwok
- Division of Biostatistics Jockey Club School of Public Health and Primary Care Faculty of Medicine The Chinese University of Hong Kong New Territories Hong Kong
| | - Maria Lai
- Division of Biostatistics Jockey Club School of Public Health and Primary Care Faculty of Medicine The Chinese University of Hong Kong New Territories Hong Kong
| | - Benny Zee
- Clinical Trials and Biostatistics Lab CUHK Shenzhen Research Institute Shenzhen China.,Division of Biostatistics Jockey Club School of Public Health and Primary Care Faculty of Medicine The Chinese University of Hong Kong New Territories Hong Kong
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A comparison of automated segmentation and manual tracing in estimating hippocampal volume in ischemic stroke and healthy control participants. NEUROIMAGE-CLINICAL 2018; 21:101581. [PMID: 30606656 PMCID: PMC6411582 DOI: 10.1016/j.nicl.2018.10.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 09/25/2018] [Accepted: 10/19/2018] [Indexed: 11/21/2022]
Abstract
Manual quantification of the hippocampal atrophy state and rate is time consuming and prone to poor reproducibility, even when performed by neuroanatomical experts. The automation of hippocampal segmentation has been investigated in normal aging, epilepsy, and in Alzheimer's disease. Our first goal was to compare manual and automated hippocampal segmentation in ischemic stroke and to, secondly, study the impact of stroke lesion presence on hippocampal volume estimation. We used eight automated methods to segment T1-weighted MR images from 105 ischemic stroke patients and 39 age-matched controls sampled from the Cognition And Neocortical Volume After Stroke (CANVAS) study. The methods were: AdaBoost, Atlas-based Hippocampal Segmentation (ABHS) from the IDeALab, Computational Anatomy Toolbox (CAT) using 3 atlas variants (Hammers, LPBA40 and Neuromorphometics), FIRST, FreeSurfer v5.3, and FreeSurfer v6.0-Subfields. A number of these methods were employed to re-segment the T1 images for the stroke group after the stroke lesions were masked (i.e., removed). The automated methods were assessed on eight measures: process yield (i.e. segmentation success rate), correlation (Pearson's R and Shrout's ICC), concordance (Lin's RC and Kandall's W), slope 'a' of best-fit line from correlation plots, percentage of outliers from Bland-Altman plots, and significance of control-stroke difference. We eliminated the redundant measures after analysing between-measure correlations using Spearman's rank correlation. We ranked the automated methods based on the sum of the remaining non-redundant measures where each measure ranged between 0 and 1. Subfields attained an overall score of 96.3%, followed by AdaBoost (95.0%) and FIRST (94.7%). CAT using the LPBA40 atlas inflated hippocampal volumes the most, while the Hammers atlas returned the smallest volumes overall. FIRST (p = 0.014), FreeSurfer v5.3 (p = 0.007), manual tracing (p = 0.049), and CAT using the Neuromorphometics atlas (p = 0.017) all showed a significantly reduced hippocampal volume mean for the stroke group compared to control at three months. Moreover, masking of the stroke lesions prior to segmentation resulted in hippocampal volumes which agreed less with manual tracing. These findings recommend an automated segmentation without lesion masking as a more reliable procedure for the estimation of hippocampal volume in ischemic stroke.
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96
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Balkaya MG, Trueman RC, Boltze J, Corbett D, Jolkkonen J. Behavioral outcome measures to improve experimental stroke research. Behav Brain Res 2018; 352:161-171. [DOI: 10.1016/j.bbr.2017.07.039] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 07/18/2017] [Accepted: 07/27/2017] [Indexed: 01/22/2023]
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Singh RJ, Chen S, Ganesh A, Hill MD. Long-term neurological, vascular, and mortality outcomes after stroke. Int J Stroke 2018; 13:787-796. [DOI: 10.1177/1747493018798526] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Despite improved survival and short-term (90-day) outcomes of ischemic stroke patients, only sparse data exist describing the sustained benefits of acute stroke care interventions and long-term prognosis of stroke survivors. Aim We review the contemporary literature assessing long-term (5 years or more) outcomes after stroke and acute stroke treatment. Summary of review Acute stroke unit care and intravenous thrombolysis have sustained benefits over longer follow-up, but few data exist on the long-term outcome after endovascular thrombectomy (EVT). A large proportion of stroke survivors face challenges of residual disability and neuropsychiatric sequelae (especially affective disorders and epilepsy) which affects their quality of life and is associated with poorer prognosis due to increase in stroke recurrences/mortality. Nearly, a quarter of stroke survivors have a recurrent stroke at 5 years, and nearly double that at 10 years. Mortality after recurrent stroke is high, and half of the stroke survivors are deceased at 5 years after stroke and three fourth at 10 years. Long-term all-cause mortality is largely due to conditions other than stroke. Both stroke recurrence and long-term mortality are affected by several modifiable risk factors, and thus amenable to secondary prevention strategies. Conclusions There is a need for studies reporting longer term effects of acute interventions, especially EVT. Better preventive strategies are warranted to reduce the vascular and non-vascular mortality long after stroke.
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Affiliation(s)
- Ravinder-Jeet Singh
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
| | - Shuo Chen
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
| | - Aravind Ganesh
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
| | - Michael D Hill
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
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Guo X, Östling S, Kern S, Johansson L, Skoog I. Increased risk for dementia both before and after stroke: A population-based study in women followed over 44 years. Alzheimers Dement 2018; 14:1253-1260. [PMID: 29936145 DOI: 10.1016/j.jalz.2018.05.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 04/20/2018] [Accepted: 05/03/2018] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Longitudinal studies are needed to understand the long-term associations between stroke and dementia. METHODS A population sample of 1460 women without stroke or dementia at baseline was followed over 44 years, from 1968 to 2012. Information on stroke and dementia was obtained from neuropsychiatric examinations, key-informant interviews, hospital registry, and medical records. RESULTS During 44 years follow-up, 362 women developed stroke and 325, dementia. The age-specific incidence of the two disorders was similar. The incidence of dementia was higher in those with stroke than among those without (33.7% vs. 18.5%; age-adjusted hazard ratio 1.44, 95% confidence interval 1.15-1.81). The increased risk of dementia started already 5 years before stroke, was highest 1 year after stroke, and continued more than 11 years after stroke. DISCUSSION There is an increased risk for dementia both before and after stroke. This has implications for understanding the relation between the two disorders and for prevention of dementia and stroke.
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Affiliation(s)
- Xinxin Guo
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
| | - Svante Östling
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Lena Johansson
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
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Yatawara C, Ng KP, Chander R, Kandiah N. Associations between lesions and domain-specific cognitive decline in poststroke dementia. Neurology 2018; 91:e45-e54. [DOI: 10.1212/wnl.0000000000005734] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 04/03/2018] [Indexed: 11/15/2022] Open
Abstract
ObjectiveTo investigate whether the effect of prestroke and stroke-related lesions on incident poststroke dementia (PSD) is mediated by a unique pattern of domain-specific cognitive impairment, and the relative strength of these anatomical–cognitive associations in predicting incident PSD.MethodsIn this incident case-control study (n = 150), we defined incident cases as acute stroke patients who developed PSD and controls as acute stroke patients who remained free from dementia at a 6 month follow-up, matched on age, prestroke cognitive status, and number of stroke-related lesions. MRI was performed at initial clinical presentation; neuropsychological assessments and clinical diagnosis of PSD was performed 6 months poststroke. Moderated mediation analysis evaluated the interactions among PSD, anatomical lesions, cognitive domains, and individual demographic and medical characteristics.ResultsCompared to stroke-related lesions, prestroke lesions were associated with the widest range of cognitive domain impairments and had stronger clinical utility in predicting incident PSD. Specifically, global cortical atrophy (GCA) and deep white matter hyperintensities (WMH) were indirectly associated with PSD by disrupting executive functions, memory, and language. Acute infarcts were indirectly associated with PSD by disrupting executive functions and language. The strongest mediator was executive dysfunction, increasing risk of PSD in patients with deep WMH, GCA, and large infarcts by more than 9 times, with sex and educational attainment moderating the magnitude of association. Periventricular WMH were directly associated with incident PSD but not mediated by deficits in cognitive domains.ConclusionWe provide an anatomical–cognitive framework that can be applied to stratify patients at highest risk of PSD and to guide personalized interventions.
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100
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Akinyemi RO, Owolabi MO, Ihara M, Damasceno A, Ogunniyi A, Dotchin C, Paddick SM, Ogeng'o J, Walker R, Kalaria RN. Stroke, cerebrovascular diseases and vascular cognitive impairment in Africa. Brain Res Bull 2018; 145:97-108. [PMID: 29807146 DOI: 10.1016/j.brainresbull.2018.05.018] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2018] [Revised: 05/20/2018] [Accepted: 05/22/2018] [Indexed: 12/30/2022]
Abstract
With increased numbers of older people a higher burden of neurological disorders worldwide is predicted. Stroke and other cerebrovascular diseases do not necessarily present with different phenotypes in Africa but their incidence is rising in tandem with the demographic change in the population. Age remains the strongest irreversible risk factor for stroke and cognitive impairment. Modifiable factors relating to vascular disease risk, diet, lifestyle, physical activity and psychosocial status play a key role in shaping the current spate of stroke related diseases in Africa. Hypertension is the strongest modifiable risk factor for stroke but is also likely associated with co-inheritance of genetic traits among Africans. Somewhat different from high-income countries, strokes attributed to cerebral small vessel disease (SVD) are higher >30% among sub-Saharan Africans. Raised blood pressure may explain most of the incidence of SVD-related strokes but there are likely other contributing factors including dyslipidaemia and diabetes in some sectors of Africa. However, atherosclerotic and cardioembolic diseases combined also appear to be common subtypes as causes of strokes. Significant proportions of cerebrovascular diseases are ascribed to various forms of infectious disease including complications of human immunodeficiency virus. Cerebral SVD leads to several clinical manifestations including gait disturbance, autonomic dysfunction and depression. Pathological processes are characterized by arteriolosclerosis, lacunar infarcts, perivascular spaces, microinfarcts and diffuse white matter changes, which can now all be detected on neuroimaging. Except for isolated cases of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy or CADASIL, hereditary arteriopathies have so far not been reported in Africa. Prevalence estimates of vascular dementia (2-3%), delayed dementia after stroke (10-20%) and vascular cognitive impairment (30-40%) do not appear to be vastly different from those in other parts of the world. However, given the current demographic transition in both urban and rural settings these figures will likely rise. Wider application of neuroimaging modalities and implementation of stroke care in Africa will enable better estimates of SVD and other subtypes of stroke. Stroke survivors with SVD type pathology are likely to have low mortality and therefore portend increased incidence of dementia.
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Affiliation(s)
- Rufus O Akinyemi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Nigeria; Department of Medicine, College of Medicine, University of Ibadan, Nigeria
| | - Mayowa O Owolabi
- Department of Medicine, College of Medicine, University of Ibadan, Nigeria
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, 5-7-1 Fujishiro-dai, Suita, Osaka, 565-8565, Japan
| | | | - Adesola Ogunniyi
- Department of Medicine, College of Medicine, University of Ibadan, Nigeria
| | - Catherine Dotchin
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, NE2 4AX, United Kingdom
| | - Stella-Maria Paddick
- Institute of Neuroscience, Newcastle University, Campus for Ageing & Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - Julius Ogeng'o
- Department of Human Anatomy, University of Nairobi, Nairobi, Kenya
| | - Richard Walker
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, NE2 4AX, United Kingdom
| | - Raj N Kalaria
- Institute of Neuroscience, Newcastle University, Campus for Ageing & Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom.
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