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Zhu F, Yao J, Feng M, Sun Z. Establishment and evaluation of a clinical prediction model for cognitive impairment in patients with cerebral small vessel disease. BMC Neurosci 2024; 25:35. [PMID: 39095700 PMCID: PMC11295716 DOI: 10.1186/s12868-024-00883-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 07/22/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND There are currently no effective prediction methods for evaluating the occurrence of cognitive impairment in patients with cerebral small vessel disease (CSVD). AIMS To investigate the risk factors for cognitive dysfunction in patients with CSVD and to construct a risk prediction model. METHODS A retrospective study was conducted on 227 patients with CSVD. All patients were assessed by brain magnetic resonance imaging (MRI), and the Montreal Cognitive Assessment (MoCA) was used to assess cognitive status. In addition, the patient's medical records were also recorded. The clinical data were divided into a normal cognitive function group and a cognitive impairment group. A MoCA score < 26 (an additional 1 point for education < 12 years) is defined as cognitive dysfunction. RESULTS A total of 227 patients (mean age 66.7 ± 6.99 years) with CSVD were included in this study, of whom 68.7% were male and 100 patients (44.1%) developed cognitive impairment. Age (OR = 1.070; 95% CI = 1.015 ~ 1.128, p < 0.05), hypertension (OR = 2.863; 95% CI = 1.438 ~ 5.699, p < 0.05), homocysteine(HCY) (OR = 1.065; 95% CI = 1.005 ~ 1.127, p < 0.05), lacunar infarct score(Lac_score) (OR = 2.732; 95% CI = 1.094 ~ 6.825, P < 0.05), and CSVD total burden (CSVD_score) (OR = 3.823; 95% CI = 1.496 ~ 9.768, P < 0.05) were found to be independent risk factors for cognitive decline in the present study. The above 5 variables were used to construct a nomogram, and the model was internally validated by using bootstrapping with a C-index of 0.839. The external model validation C-index was 0.867. CONCLUSIONS The nomogram model based on brain MR images and clinical data helps in individualizing the probability of cognitive impairment progression in patients with CSVD.
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Affiliation(s)
- Fangfang Zhu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China
- Department of Neurology, The Second Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China
| | - Jie Yao
- Department of Neurology, The Second Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China
| | - Min Feng
- Department of Neurology, The Second Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China
| | - Zhongwu Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
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Chen F, Chen Q, Zhu Y, Long C, Lu J, Jiang Y, Zhang X, Zhang B. Alterations in Dynamic Functional Connectivity in Patients with Cerebral Small Vessel Disease. Transl Stroke Res 2024; 15:580-590. [PMID: 36967436 PMCID: PMC11106163 DOI: 10.1007/s12975-023-01148-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/03/2023] [Accepted: 03/14/2023] [Indexed: 03/28/2023]
Abstract
Cerebral small vessel disease (CSVD) is a common disease that seriously endangers people's health, and is easily overlooked by both patients and clinicians due to its near-silent onset. Dynamic functional connectivity (DFC) is a new concept focusing on the dynamic features and patterns of brain networks that represents a powerful tool for gaining novel insight into neurological diseases. To assess alterations in DFC in CSVD patients, and the correlation of DFC with cognitive function. We enrolled 35 CSVD patients and 31 normal control subjects (NC). Resting-state functional MRI (rs-fMRI) with a sliding-window approach and k-means clustering based on independent component analysis (ICA) was used to evaluate DFC. The temporal properties of fractional windows and the mean dwell time in each state, as well as the number of transitions between each pair of DFC states, were calculated. Additionally, we assessed the functional connectivity (FC) strength of the dynamic states and the associations of altered neuroimaging measures with cognitive performance. A dynamic analysis of all included subjects suggested four distinct functional connectivity states. Compared with the NC group, the CSVD group had more fractional windows and longer mean dwell times in state 4 characterized by sparse FC both inter-network and intra-networks. Additionally, the CSVD group had a reduced number of windows and shorter mean dwell times compared to the NC group in state 3 characterized by highly positive FC between the somatomotor and visual networks, and negative FC in the basal ganglia and somatomotor and visual networks. The number of transitions between state 2 and state 3 and between state 3 and state 4 was significantly reduced in the CSVD group compared to the NC group. Moreover, there was a significant difference in the FC strength between the two groups, and the altered temporal properties of DFC were significantly related to cognitive performance. Our study indicated that CSVD is characterized by altered temporal properties in DFC that may be sensitive neuroimaging biomarkers for early disease identification. Further study of DFC alterations could help us to better understand the progressive dysfunction of networks in CSVD patients.
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Affiliation(s)
- Futao Chen
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210008, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Qian Chen
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China
| | - Yajing Zhu
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China
| | - Cong Long
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210008, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Jiaming Lu
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210008, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Yaoxian Jiang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210008, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Xin Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210008, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Bing Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210008, China.
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China.
- Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China.
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing, China.
- Institute of Brain Science, Nanjing University, Nanjing, China.
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Blumberg MJ, Petersson AM, Jones PW, Jones AA, Panenka WJ, Leonova O, Vila-Rodriguez F, Lang DJ, Barr AM, MacEwan GW, Buchanan T, Honer WG, Gicas KM. Differential sensitivity of intraindividual variability dispersion and global cognition in the prediction of functional outcomes and mortality in precariously housed and homeless adults. Clin Neuropsychol 2024:1-24. [PMID: 38444068 DOI: 10.1080/13854046.2024.2325167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 02/23/2024] [Indexed: 03/07/2024]
Abstract
OBJECTIVE To examine cognitive intraindividual variability (IIV) dispersion as a predictor of everyday functioning and mortality in persons who are homeless or precariously housed. METHOD Participants were 407 community-dwelling adults, followed for up to 13 years. Neurocognition was assessed at baseline and IIV dispersion was derived using a battery of standardized tests. Functional outcomes (social, physical) were obtained at baseline and last follow-up. Mortality was confirmed with Coroner's reports and hospital records (N = 103 deaths). Linear regressions were used to predict current social and physical functioning from IIV dispersion. Repeated measures Analysis of Covariance were used to predict long-term change in functioning. Cox regression models examined the relation between IIV dispersion and mortality. Covariates included global cognition (i.e. mean-level performance), age, education, and physical comorbidities. RESULTS Higher IIV dispersion predicted poorer current physical functioning (B = -0.46 p = .010), while higher global cognition predicted better current (B = 0.21, p = .015) and change in social functioning over a period of up to 13 years (F = 4.23, p = .040). Global cognition, but not IIV dispersion, predicted mortality in individuals under 55 years old (HR = 0.50, p = .013). CONCLUSIONS Our findings suggest that indices of neurocognitive functioning (i.e. IIV dispersion and global cognition) may be differentially related to discrete dimensions of functional outcomes in an at-risk population. IIV dispersion may be a complimentary marker of emergent physical health dysfunction in precariously housed adults and may be best used in conjunction with traditional neuropsychological indices.
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Affiliation(s)
| | - Anna M Petersson
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | - Paul W Jones
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | - Andrea A Jones
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - William J Panenka
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Olga Leonova
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | | | - Donna J Lang
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Alasdair M Barr
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, Canada
| | - G William MacEwan
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Tari Buchanan
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Kristina M Gicas
- Department of Psychology, York University, Toronto, Canada
- Department of Psychology, University of the Fraser Valley, Abbotsford, Canada
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Wei C, Tan C, Zhang X, Shen X, Xu Z, Li J, Xu G. Chronic gastritis may predict risk of cerebral small vessel disease. BMC Gastroenterol 2023; 23:429. [PMID: 38062366 PMCID: PMC10702041 DOI: 10.1186/s12876-023-03009-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 10/20/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND AND PURPOSE Chronic gastritis, especially that caused by helicobacter pylori (HP) infection, has been associated with increased risk of ischemic stroke. But the relationship between chronic gastritis and cerebral small vessel disease (CSVD) remains largely undetermined. This study aimed to determine the potential predictors for CSVD, with chronic gastritis and its proxies as alternatives. METHOD Patients aged 18 years or older with indications for electronic gastroscopy were enrolled. Presence of CSVD was evaluated with brain magnetic resonance imaging (MRI) results. Degree of CSVD was scored according to established criteria. Logistic regression analysis was used for identifying possible risk factors for CSVD. RESULTS Of the 1191 enrolled patients, 757 (63.6%) were identified as with, and 434 (36.4%) as without CSVD. Multivariate analysis indicated that patients with chronic atrophic gastritis had an increased risk for CSVD than those without (adjusted odds ratio = 1.58; 95% CI, 1.08-2.32; P < 0.05). CONCLUSIONS Chronic atrophic gastritis is associated with the presence of CSVD. We should routinely screen the presence of CSVD for patients with chronic atrophic gastritis.
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Affiliation(s)
- Cunsheng Wei
- Department of Neurology, Affiliated Jiangning Hospital With Nanjing Medical University, 168 Gushan Road, Nanjing, 211100, Jiangsu, China
| | - Chang Tan
- Department of Neurology, Affiliated Jiangning Hospital With Nanjing Medical University, 168 Gushan Road, Nanjing, 211100, Jiangsu, China
| | - Xuemei Zhang
- Department of Neurology, Affiliated Jiangning Hospital With Nanjing Medical University, 168 Gushan Road, Nanjing, 211100, Jiangsu, China
| | - Xin Shen
- Department of Neurology, Affiliated Jiangning Hospital With Nanjing Medical University, 168 Gushan Road, Nanjing, 211100, Jiangsu, China
| | - Zongliang Xu
- Department of Neurology, Affiliated Jiangning Hospital With Nanjing Medical University, 168 Gushan Road, Nanjing, 211100, Jiangsu, China
| | - Junrong Li
- Department of Neurology, Affiliated Jiangning Hospital With Nanjing Medical University, 168 Gushan Road, Nanjing, 211100, Jiangsu, China.
| | - Gelin Xu
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
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Gicas KM, Benitah K, Thornton AE, Petersson AM, Jones PW, Stubbs JL, Jones AA, Panenka WJ, Lang DJ, Leonova O, Vila-Rodriguez F, Barr AM, Buchanan T, Su W, Vertinsky AT, Rauscher A, MacEwan GW, Honer WG. Using serial position effects to investigate memory dysfunction in homeless and precariously housed persons. Clin Neuropsychol 2023; 37:1710-1727. [PMID: 36790121 DOI: 10.1080/13854046.2023.2178513] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 02/05/2023] [Indexed: 02/16/2023]
Abstract
Background: Homeless and precariously housed persons exhibit significant memory impairment, but the component processes underlying memory dysfunction have not been explored. We examined the serial position profile (i.e., primacy and recency effects) of verbal memory and its neuroanatomical correlates to identify the nature of memory difficulties in a large cohort of homeless and precariously housed adults. Method: The sample included 227 community-dwelling homeless and precariously housed adults. Serial position scores (primacy, middle, recency) were computed using the Hopkins Verbal Learning Test-Revised. Paired sample t-tests were used to compare percent recall from each word list region. Age-adjusted correlations assessed associations between serial position scores and other cognitive domains (attention, processing speed, executive functioning). Regression analyses were conducted to examine regional brain volumes of interest (hippocampus, entorhinal cortex, dorsolateral prefrontal cortex [DLPFC]) and their differential associations with serial position scores. Results: The serial position profile was characterized by a diminished recency effect in relation to the primacy effect. Serial position scores positively correlated with sustained attention and cognitive control. Larger hippocampal volume was associated with better primacy item recall. DLPFC volume was not associated with serial position recall after adjustment for false discovery rate. There were no associations between regional brain volumes and recency item recall. Conclusion: Our results suggest that commonly reported memory difficulties in homeless and precariously housed adults are likely secondary to a core deficit in executive control due to compromised frontal lobe functioning. These findings have implications for cognitive rehabilitation in this complex and vulnerable group.
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Affiliation(s)
| | - Katie Benitah
- Department of Psychology, York University, Toronto, Canada
| | - Allen E Thornton
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | - Anna M Petersson
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | - Paul W Jones
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | - Jacob L Stubbs
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Andrea A Jones
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - William J Panenka
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Donna J Lang
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Olga Leonova
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | | | - Alasdair M Barr
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, Canada
| | - Tari Buchanan
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Wayne Su
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | | | - Alexander Rauscher
- Department of Paediatrics, University of British Columbia, Vancouver, Canada
| | - G William MacEwan
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, Canada
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Yang Y, Cai X, Zhou M, Chen Y, Pi J, Zhao M, Shi Y, Wang S, Jing J, Chen W, Meng X, Wang Y, Pan Y, Wang Y. Prevalence and Risk Factors of Cerebral Small Vessel Disease from a Population-Based Cohort in China. Neuroepidemiology 2023; 57:413-422. [PMID: 37734325 DOI: 10.1159/000533678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 07/25/2023] [Indexed: 09/23/2023] Open
Abstract
INTRODUCTION Cerebral small vessel disease (CSVD) is a significant burden of morbidity and mortality among elderly people around the world. Epidemiological data with complete CSVD evaluations and a large sample size in the general population are still limited. METHODS Community-dwelling residents in Lishui city in China from the cross-sectional survey of the Polyvascular Evaluation for Cognitive Impairment and Vascular Events (PRECISE) study were included in this study from 2017 to 2019. All participants underwent 3 Tesla brain magnetic resonance images to assess CSVD imaging markers. Demographic and risk factor data were collected. The general and age-specific prevalence of lacune, confluent white matter hyperintensity (WMH), moderate-severe enlarged perivascular spaces (EPVS), cerebral microbleed (CMB), and total CSVD score (an ordinal scale from 0 to 4, counting the presence of four imaging markers of CSVD) was evaluated. Associations between vascular risk factors and these markers were analyzed by multivariable logistic regression. RESULTS A total of 3,063 participants were enrolled. The mean age was 61.2 years and 46.5% were men. The most prevalent CSVD marker was confluent WMH (16.7%), followed by CMB (10.2%), moderate-severe EPVS in the basal ganglia (BG-EPVS) (9.8%), and lacune (5.6%). 30.5% of the participants have at least one of the four markers (total CSVD score ≥1 points). The prevalence of CSVD markers increases as age increases. Age and hypertension were independent risk factors for four CSVD markers and the total CSVD score. CONCLUSIONS In this Chinese cohort with community-based adults aged 50-75 years, our findings showed a prevalence of 30.5% for CSVD. The most prevalent CSVD marker was confluent WMH, followed by CMB, moderate-severe BG-EPVS, and lacune. The risk factors for CSVD must be strictly screened and controlled in adults living in the community.
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Affiliation(s)
- Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,
- China National Clinical Research Center for Neurological Diseases, Beijing, China,
| | - Xueli Cai
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Mengyuan Zhou
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yiyi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jingtao Pi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Mengxi Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yulu Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Weiqi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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Inoue Y, Shue F, Bu G, Kanekiyo T. Pathophysiology and probable etiology of cerebral small vessel disease in vascular dementia and Alzheimer's disease. Mol Neurodegener 2023; 18:46. [PMID: 37434208 PMCID: PMC10334598 DOI: 10.1186/s13024-023-00640-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/28/2023] [Indexed: 07/13/2023] Open
Abstract
Vascular cognitive impairment and dementia (VCID) is commonly caused by vascular injuries in cerebral large and small vessels and is a key driver of age-related cognitive decline. Severe VCID includes post-stroke dementia, subcortical ischemic vascular dementia, multi-infarct dementia, and mixed dementia. While VCID is acknowledged as the second most common form of dementia after Alzheimer's disease (AD) accounting for 20% of dementia cases, VCID and AD frequently coexist. In VCID, cerebral small vessel disease (cSVD) often affects arterioles, capillaries, and venules, where arteriolosclerosis and cerebral amyloid angiopathy (CAA) are major pathologies. White matter hyperintensities, recent small subcortical infarcts, lacunes of presumed vascular origin, enlarged perivascular space, microbleeds, and brain atrophy are neuroimaging hallmarks of cSVD. The current primary approach to cSVD treatment is to control vascular risk factors such as hypertension, dyslipidemia, diabetes, and smoking. However, causal therapeutic strategies have not been established partly due to the heterogeneous pathogenesis of cSVD. In this review, we summarize the pathophysiology of cSVD and discuss the probable etiological pathways by focusing on hypoperfusion/hypoxia, blood-brain barriers (BBB) dysregulation, brain fluid drainage disturbances, and vascular inflammation to define potential diagnostic and therapeutic targets for cSVD.
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Affiliation(s)
- Yasuteru Inoue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Francis Shue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Guojun Bu
- SciNeuro Pharmaceuticals, Rockville, MD 20850 USA
| | - Takahisa Kanekiyo
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
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Potter TBH, Tannous J, Pan AP, Bako A, Johnson C, Baig E, Kelly H, McCane CD, Garg T, Gadhia R, Misra V, Volpi J, Britz G, Chiu D, Vahidy FS. Stroke severity mediates the effect of socioeconomic disadvantage on poor outcomes among patients with intracerebral hemorrhage. Front Neurol 2023; 14:1176924. [PMID: 37384280 PMCID: PMC10293742 DOI: 10.3389/fneur.2023.1176924] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 05/08/2023] [Indexed: 06/30/2023] Open
Abstract
Background Socioeconomic deprivation drives poor functional outcomes after intracerebral hemorrhage (ICH). Stroke severity and background cerebral small vessel disease (CSVD) burden have each been linked to socioeconomic status and independently contribute to worse outcomes after ICH, providing distinct, plausible pathways for the effects of deprivation. We investigate whether admission stroke severity or cerebral small vessel disease (CSVD) mediates the effect of socioeconomic deprivation on 90-day functional outcomes. Methods Electronic medical record data, including demographics, treatments, comorbidities, and physiological data, were analyzed. CSVD burden was graded from 0 to 4, with severe CSVD categorized as ≥3. High deprivation was assessed for patients in the top 30% of state-level area deprivation index scores. Severe disability or death was defined as a 90-day modified Rankin Scale score of 4-6. Stroke severity (NIH stroke scale (NIHSS)) was classified as: none (0), minor (1-4), moderate (5-15), moderate-severe (16-20), and severe (21+). Univariate and multivariate associations with severe disability or death were determined, with mediation evaluated through structural equation modelling. Results A total of 677 patients were included (46.8% female; 43.9% White, 27.0% Black, 20.7% Hispanic, 6.1% Asian, 2.4% Other). In univariable modelling, high deprivation (odds ratio: 1.54; 95% confidence interval: [1.06-2.23]; p = 0.024), severe CSVD (2.14 [1.42-3.21]; p < 0.001), moderate (8.03 [2.76-17.15]; p < 0.001), moderate-severe (32.79 [11.52-93.29]; p < 0.001), and severe stroke (104.19 [37.66-288.12]; p < 0.001) were associated with severe disability or death. In multivariable modelling, severe CSVD (3.42 [1.75-6.69]; p < 0.001) and moderate (5.84 [2.27-15.01], p < 0.001), moderate-severe (27.59 [7.34-103.69], p < 0.001), and severe stroke (36.41 [9.90-133.85]; p < 0.001) independently increased odds of severe disability or death; high deprivation did not. Stroke severity mediated 94.1% of deprivation's effect on severe disability or death (p = 0.005), while CSVD accounted for 4.9% (p = 0.524). Conclusion CSVD contributed to poor functional outcome independent of socioeconomic deprivation, while stroke severity mediated the effects of deprivation. Improving awareness and trust among disadvantaged communities may reduce admission stroke severity and improve outcomes.
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Affiliation(s)
| | - Jonika Tannous
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Alan P. Pan
- Center for Health Data Science and Analytics, Houston Methodist, Houston, TX, United States
| | - Abdulaziz Bako
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Carnayla Johnson
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Eman Baig
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Hannah Kelly
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Charles D. McCane
- Department of Neurology, Houston Methodist, Houston, TX, United States
| | - Tanu Garg
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - Rajan Gadhia
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - Vivek Misra
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - John Volpi
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - Gavin Britz
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
- Department of Neurological Surgery, Houston Methodist Neurological Institute, Houston Methodist, Houston, TX, United States
| | - David Chiu
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - Farhaan S. Vahidy
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
- Center for Health Data Science and Analytics, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
- Department of Neurological Surgery, Houston Methodist Neurological Institute, Houston Methodist, Houston, TX, United States
- Department of Population Health Sciences, Weill Cornell Medicine, White Plains, NY, United States
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9
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Mantell R, Hwang YIJ, Radford K, Perkovic S, Cullen P, Withall A. Accelerated aging in people experiencing homelessness: A rapid review of frailty prevalence and determinants. Front Public Health 2023; 11:1086215. [PMID: 37006541 PMCID: PMC10061143 DOI: 10.3389/fpubh.2023.1086215] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 02/24/2023] [Indexed: 03/18/2023] Open
Abstract
IntroductionOlder people experiencing homelessness (PEH) are a rapidly growing population at risk of accelerated aging and the early onset of geriatric conditions. One construct that shows promise in predicting age-related decline is frailty. Better understanding the rates and causes of frailty in PEH may improve understanding of its antecedents, thereby facilitating more targeted health and aged care service interventions. The aim of this study was to conduct a rapid review on the prevalence and determinants of frailty in adult PEH.MethodsWe conducted a rapid review of primary research papers studying PEH and frailty or frailty-related concepts.ResultsFourteen studies were included, which indicate that frailty presents earlier and at higher rates in PEH than community-dwelling cohorts. A notable difficulty for many aging PEH was early-onset cognitive impairment which was associated with a range of negative functional outcomes. Another recurrent theme was the negative impact that drug and alcohol use and dependence can have on the health of PEH. Further, psychosocial and structural determinants such as loneliness, living in an impoverished neighborhood and being female had statistically significant associations with frailty and functional decline in PEH.Discussion and implicationsPEH in their 40s and 50s can be frail and experience geriatric conditions, including cognitive impairment. Factors that have important relationships to frailty and functional decline in PEH include cognitive deficits, drug and alcohol dependence and loneliness, as well as upstream determinants such as gender and ethnicity. More targeted data and research on these factors, including cohort studies to better investigate their potentially causal effects, is important for researchers and practitioners assessing and treating frailty in PEH, particularly those interested in early intervention and prevention.Prospero registration IDCRD42022292549.
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Affiliation(s)
- Rhys Mantell
- School of Population Health, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW, Australia
- *Correspondence: Rhys Mantell
| | - Ye In Jane Hwang
- School of Population Health, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW, Australia
- UNSW Ageing Futures Institute, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Kylie Radford
- UNSW Ageing Futures Institute, University of New South Wales (UNSW), Sydney, NSW, Australia
- School of Psychology, Faculty of Science, University of New South Wales (UNSW), Sydney, NSW, Australia
- Neuroscience Research Australia (NeuRA), Sydney, NSW, Australia
| | - Silvija Perkovic
- School of Population Health, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Patricia Cullen
- School of Population Health, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW, Australia
- The George Institute for Global Health, University of New South Wales (UNSW), Sydney, NSW, Australia
- Ngarruwan Ngadju: First Peoples Health and Wellbeing Research Centre, University of Wollongong, Wollongong, NSW, Australia
| | - Adrienne Withall
- School of Population Health, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW, Australia
- UNSW Ageing Futures Institute, University of New South Wales (UNSW), Sydney, NSW, Australia
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10
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Chevreau G, Coll M, Barbot F, Castillo MC, Vallat-Azouvi C. Neuropsychological functioning of homeless people in Paris: An exploratory study. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-12. [PMID: 36803262 DOI: 10.1080/23279095.2023.2175321] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Homelessness is a multifactorial issue, influenced by structural and individual factors. These factors include health status, which has been reported to be poorer among people experiencing homelessness. Although the somatic and mental health of homeless individuals has already been studied in France, to our knowledge, no research has been conducted on neuropsychological functioning in this country. Studies out with France have identified cognitive impairments as highly prevalent among homeless people, and these impairments are likely affected by local structural factors, such as healthcare access. Therefore, we conducted an exploratory study in Paris to evaluate cognition and associated factors in homeless adults. The second objective was to identify methodological specificities to consider in a future larger-scale study and for the application of the outcomes. For this exploratory phase, 14 individuals were recruited from specific services and were interviewed regarding their social, neurological, and psychiatric history, before completing a set of cognitive tests. The results showed a high diversity of profiles in terms of demographic characteristics, including being a migrant and/or illiterate. A high proportion of participants had signs of traumatic brain injury, anxiety, depressive disorders, and post-traumatic stress disorders. Most cognitive scores were in the low average of normative data. No statistical association was found between identified risk factors and cognitive performance. Future studies should consider the sociodemographic specificities of the homeless population and design appropriate measurement tools to improve the understanding of neuropsychological profiles.
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Affiliation(s)
- Gaëtan Chevreau
- Laboratoire Psychopathologie et Processus de Changement, Université Paris 8 Vincennes-Saint-Denis, Paris, France
| | | | - Frédéric Barbot
- Centre d'Investigation Clinique (Inserm CIC 1429), Université Paris-Saclay, AP-HP Hôpital Raymond Poincaré, Paris, France
| | - Marie-Carmen Castillo
- Laboratoire Psychopathologie et Processus de Changement, Université Paris 8 Vincennes-Saint-Denis, Paris, France
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11
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Wei C, Yu X, Wang L, Jiang J, Dai Q, Kang Y, Li J, Chen X. Can hyperuricemia predict the progression risk of cerebral small vessel disease? Neurol Res 2022; 44:910-917. [PMID: 35475780 DOI: 10.1080/01616412.2022.2067707] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
AIMS Uric acid (UA) may play a crucial role in the process of cerebral small vessel disease (SVD), but few follow-up studies have focused on the effect of UA in the progression of SVD. The present study aimed to ascertain whether serum UA levels are associated with the risk of SVD progression. METHODS We performed an observational clinical study in adults older than 45 years with cranial magnetic resonance imaging (MRI) from 30 October 2015, to 28 January 2021. The patients were divided into two groups according to whether their total burden of SVD scores increased or not during the follow-up: SVD progression (increased by at least one point) and without SVD progression (increased 0 points). Cox regression and Kaplan-Meier survival analyses were used for univariate analysis between groups to identify the risk factors for SVD progression. RESULTS Ultimately, 261 eligible patients were included in the final analysis. Of the 261 eligible patients, 73 were included in the SVD progression group, and 188 were included in the group without SVD progression. Correlation analysis found that the levels of UA and the ratio of hyperuricemia (HUA) showed statistically significant correlations with SVD progression risk (r = 0.197 and Crammer's V = 0.213, respectively, P < 0.01). Cox regression and Kaplan-Meier survival analyses showed that after adjustment for covariates, HUA was an independent risk factor for the incidence of SVD progression. The risk of SVD progression in patients with HUA was higher than that in those without HUA (HR (95% CI), 1.77 (1.03-3.05), P < 0.05). CONCLUSIONS High serum UA levels are independently related to the risk of SVD progression, thus highlighting not only the influence of traditional risk factors such as hypertension and age on SVD but also the UA levels of patients for individualized treatment.
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Affiliation(s)
- Cunsheng Wei
- Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaorong Yu
- Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Lin Wang
- Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Junying Jiang
- Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qi Dai
- Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yue Kang
- Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Junrong Li
- Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xuemei Chen
- Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
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12
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Wang Z, Chen Q, Chen J, Yang N, Zheng K. Risk factors of cerebral small vessel disease: A systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e28229. [PMID: 34941088 PMCID: PMC8702220 DOI: 10.1097/md.0000000000028229] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 11/24/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is a common neurological disease under the effect of multiple factors. Although some literature analyzes and summarizes the risk factors of CSVD, the conclusions are controversial. To determine the risk factors of CSVD, we conducted this meta-analysis. METHODS Five authoritative databases of PubMed, Embase, Cochrane Library, CNKI, and Wan Fang were searched to find related studies published before November 30, 2020. The literature was screened according to the inclusion and exclusion criteria. We used RevMan 5.4 software to analyze the data after extraction. RESULTS A total of 29 studies involving 16,587 participants were included. The meta-analysis showed that hypertension (odds ratio [OR] 3.16, 95% confidence interval [CI] 2.22-4.49), diabetes (OR 2.15, 95% CI 1.59-2.90), hyperlipidemia (OR 1.64, 95% CI 1.11-2.40), smoking (OR 1.47, 95% CI 1.15-1.89) were significantly related to the risk of lacune, while drinking (OR 1.03, 95% CI 0.87-1.23) was not. And hypertension (OR 3.31, 95% CI 2.65-4.14), diabetes (OR 1.66, 95% CI 2.65-1.84), hyperlipidemia (OR 1.88, 95% CI 1.08-3.25), smoking (OR 1.48, 95% CI 1.07-2.04) were significantly related to the risk of white matter hyperintensity, while drinking (OR 1.41, 95% CI 0.97-2.05) was not. CONCLUSIONS This study suggested that hypertension, diabetes, hyperlipidemia, and smoking are risk factors of CSVD, and we should take measures to control these risk factors for the purpose of preventing CSVD.
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Baitz HA, Jones PW, Campbell DA, Jones AA, Gicas KM, Giesbrecht CJ, Loken Thornton W, Barone CC, Wang NY, Panenka WJ, Lang DJ, Vila-Rodriguez F, Leonova O, Barr AM, Procyshyn RM, Buchanan T, Rauscher A, MacEwan GW, Honer WG, Thornton AE. Component Processes of Decision Making in a Community Sample of Precariously Housed Persons: Associations With Learning and Memory, and Health-Risk Behaviors. Front Psychol 2021; 12:571423. [PMID: 34276459 PMCID: PMC8285095 DOI: 10.3389/fpsyg.2021.571423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 02/16/2021] [Indexed: 11/30/2022] Open
Abstract
The Iowa Gambling Task (IGT) is a widely used measure of decision making, but its value in signifying behaviors associated with adverse, "real-world" consequences has not been consistently demonstrated in persons who are precariously housed or homeless. Studies evaluating the ecological validity of the IGT have primarily relied on traditional IGT scores. However, computational modeling derives underlying component processes of the IGT, which capture specific facets of decision making that may be more closely related to engagement in behaviors associated with negative consequences. This study employed the Prospect Valence Learning (PVL) model to decompose IGT performance into component processes in 294 precariously housed community residents with substance use disorders. Results revealed a predominant focus on gains and a lack of sensitivity to losses in these vulnerable community residents. Hypothesized associations were not detected between component processes and self-reported health-risk behaviors. These findings provide insight into the processes underlying decision making in a vulnerable substance-using population and highlight the challenge of linking specific decision making processes to "real-world" behaviors.
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Affiliation(s)
- Heather A. Baitz
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Paul W. Jones
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - David A. Campbell
- Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, Canada
- School of Mathematics and Statistics, Carleton University, Ottawa, ON, Canada
| | - Andrea A. Jones
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Kristina M. Gicas
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
- Department of Psychology, York University, Toronto, ON, Canada
| | - Chantelle J. Giesbrecht
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | | | | | - Nena Y. Wang
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - William J. Panenka
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Donna J. Lang
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | | | - Olga Leonova
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Alasdair M. Barr
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada
| | - Ric M. Procyshyn
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Tari Buchanan
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Alexander Rauscher
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - G. William MacEwan
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - William G. Honer
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Allen E. Thornton
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
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14
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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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15
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MacCallum CA, Eadie L, Barr AM, Boivin M, Lu S. Practical Strategies Using Medical Cannabis to Reduce Harms Associated With Long Term Opioid Use in Chronic Pain. Front Pharmacol 2021; 12:633168. [PMID: 33995035 PMCID: PMC8120104 DOI: 10.3389/fphar.2021.633168] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 04/08/2021] [Indexed: 12/17/2022] Open
Abstract
Background: Chronic non-cancer pain (CNCP) is estimated to affect 20% of the adult population. Current United States and Canadian Chronic non-cancer pain guidelines recommend careful reassessment of the risk-benefit ratio for doses greater than 90 mg morphine equivalent dose (MED), due to low evidence for improved pain efficacy at higher morphine equivalent dose and a significant increase in morbidity and mortality. There are a number of human studies demonstrating cannabis opioid synergy. This preliminary evidence suggests a potential role of cannabis as an adjunctive therapy with or without opioids to optimize pain control. Methods: In 2017, the Canadian Opioid Guidelines Clinical Tool was created to encourage judicious opioid prescribing for CNCP patients and to reevaluate those who have been chronically using high MED. Mirroring this approach, we draw on our clinical experiences and available evidence to create a clinical tool to serve as a foundational clinical guideline for the initiation of medical cannabis in the management of CNCP patients using chronic opioid therapy. Findings: Following principles of harm reduction and risk minimization, we suggest cannabis be introduced in appropriately selected CNCP patients, using a stepwise approach, with the intent of pain management optimization. We use a structured approach to focus on low dose cannabis (namely, THC) initiation, slow titration, dose optimization and frequent monitoring. Conclusion: When low dose THC is introduced as an adjunctive therapy, we observe better pain control clinically with lower doses of opioids, improved pain related outcomes and reduced opioid related harm.
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Affiliation(s)
- Caroline A MacCallum
- Department of Medicine, Faculty of Medicine, Division of Community Internal Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Medicine, Faculty of Medicine, Division of Palliative Care, UBC, Vancouver, BC, Canada.,Faculty of Pharmaceutical Sciences, UBC, Vancouver, BC, Canada
| | - Lauren Eadie
- Department of Medicine, Faculty of Medicine, Division of Community Internal Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Alasdair M Barr
- Department of Anesthesiology, Pharmacology and Therapeutics, Faculty of Medicine, UBC, Vancouver, BC, Canada
| | | | - Shaohua Lu
- Department of Medicine, Faculty of Medicine, Division of Community Internal Medicine, University of British Columbia, Vancouver, BC, Canada
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