scholarly journals Opportunities and Limitations of Vascular Risk Factor Models in Studying Plasticity-Promoting and Restorative Ischemic Stroke Therapies

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Dirk M. Hermann ◽  
Thorsten R. Doeppner ◽  
Aurel Popa-Wagner
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Brain Plasticity ◽  
Experimental Studies ◽  
Vascular Risk Factor ◽  
Factor Models ◽  
Vascular Risk ◽  
Short Lifespan ◽  
Risk Factor Models

Major efforts are currently made promoting neuronal plasticity and brain remodeling in the postacute stroke phase. Experimental studies evaluating new stroke therapies are mostly performed in rodents, which compared to humans exhibit a short lifespan. These studies widely employ young, otherwise healthy, rodents that lack the vascular risk factors and comorbidities of stroke patients. These risk factors compromise postischemic neurological recovery and brain plasticity and in several contexts reduce the brain responsiveness to recovery-inducing plasticity-promoting treatments. By examining risk factor models, which have hitherto been used for studying experimentally induced ischemic stroke, this review outlines the possibilities and limitations of risk factor models in the evaluation of plasticity-promoting and restorative stroke treatments.

Abstract T P165: Women Had Worse Stroke Outcome

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Claudia Alonzo ◽  
Maria C Zurru ◽  
Laura Brescacin ◽  
Santiago Pigretti ◽  
Pedro Colla Machado ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Vascular Risk Factor ◽  
Stroke Outcome ◽  
Vascular Risk ◽  
Stroke Patients ◽  
Stroke Outcomes ◽  
Post Stroke ◽  
Artery Disease

Background: women who have ischemic strokes are on average older than men.Several studies, however, show that stroke outcomes are worse in women even after adjusting for age, and the specific conditions that contribute to this outcome are poorly known. Our objective was to evaluate post-stroke disability and mortality after ischemic stroke in women. Methods: acute ischemic stroke patients were prospectively included in a multidisciplinary secondary stroke prevention program. Pre-stroke vascular risk factor profile and control were obtained from electronic records; disability (modified Rankin scale) were evaluated one month after stroke. Results: fifty seven percent of the 1194 ischemic stroke patients prospectively included between December 2006 and December 2013 were women. They were older, more probably hypertensive, dislipidemic and diabetic, and had higher incidence of atrial fibrillation, while men had higher prevalence of obesity, metabolic syndrome, smoking, and history of coronary heart disease and peripheral artery disease. Pre-stroke vascular risk factor control and management are shown in table 1. Women had worst outcome than men: mRankin >1 (66% women vs 52% men, p 0.0001), 30-day mortality (4% women vs 2% men, p 0.04), composite disability + mortality (52% women vs 36% men, p 0.0001). After adjusting by age women still had higher risk of disability and mortality: m-Rankin >1 (OR 1.40, 95%CI 1.05-1.87; p 0.02); mortality (OR 1.64, 95%CI 0,98-2,74), and composite disability + mortality (OR 1.59, 95%CI 1.22-2.07; p 0.004). Conclusion: in our cohort women have worst post-stroke outcome, even though they have higher burden of vascular risk factors they have lower prevalence of vascular disease in other vascular beds previous to stroke. This difference persists after adjusting by age, raising the possibility of specific gender risk factors influencing on ischemic stroke outcomes.

Abstract 121: Vascular Risk Factor Control in the Year After Ischemic Stroke Versus Myocardial Infarction

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Dawn M Bravata ◽  
Jared Brosch ◽  
Jason Sico ◽  
Fitsum Baye ◽  
Laura Myers ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Standard Deviation ◽  
Vascular Risk Factor ◽  
Vascular Risk ◽  
Hypertension Control ◽  
Stroke Patients ◽  
Risk Factor Control ◽  
Facility Level

Background: The Veterans Health Administration has multiple quality improvement activities directed at improving vascular risk factor control. We sought to examine facility quality of blood pressure (BP) control (<140/90 mm Hg), lipid control (LDL-cholesterol <100 mg/dL) and glycemic control (HbA1c <9%) in the one-year after hospitalization for ischemic stroke or acute myocardial infarction (AMI). Methods: We assembled a retrospective cohort of patients hospitalized with stroke or AMI (fiscal year 2011). Facilities were included if they admitted ≥25 stroke patients and ≥25 AMI patients. A facility-level consolidated measure of vascular risk factor control was calculated for the 3 processes of care (number of passes divided by number of opportunities). Results: A total of 2432 patients had a new stroke and 4873 had a new primary AMI (at 75 facilities). Stroke patients had worse vascular risk factor control than AMI patients (mean facility rate on consolidated measure: stroke, 70% [95%CI 0.68-0.72] vs AMI, 77% [0.75-0.78]). The greatest disparity between stroke and AMI patients was in hypertension control: at 87% of hospitals, fewer stroke patients achieved BP control than AMI patients (mean facility pass rate: stroke, 41% vs AMI, 52%; p<0.0001). Overall there were no statistical differences for stroke versus AMI patients in facility-level hyperlipidemia control (71% vs 73%, p=0.33) and glycemic control (79% versus 82%, p=0.24). AMI patients had more outpatient visits than stroke patients in the year after discharge [AMI: mean 7.9 visits (standard deviation 6.1)]; stroke: mean 6.0 visits (standard deviation 4.5; p<0.0001].); the primary difference in outpatient utilization was additional cardiology visits for AMI patients (2.5 visits with cardiology per AMI patient vs 0.4 visits per stroke patient; p<0.001). Conclusions: These results demonstrated clinically substantial disparities in hypertension control among patients with stroke vs patients with AMI. It may be that cardiologists provided risk factor management to AMI patients that stroke patients did not receive. The etiology of these observed differences merits additional investigation.

scholarly journals Vascular risk at younger ages most strongly associates with current and future brain volume

Neurology ◽  
2018 ◽  
Vol 91 (16) ◽  
pp. e1479-e1486 ◽  
Author(s):  
Matthew P. Pase ◽  
Kendra Davis-Plourde ◽  
Jayandra J. Himali ◽  
Claudia L. Satizabal ◽  
Hugo Aparicio ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Stroke Risk ◽  
Brain Volume ◽  
Vascular Risk Factor ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Cross Sectional ◽  
Strength Of Association ◽  
Risk Factor Burden

ObjectiveGiven the potential therapeutic effect of vascular disease control timing to reduce dementia risk, we investigated the age-related influences of vascular risk factor burden on brain structure throughout the lifespan.MethodsWe studied participants from the community-based prospective Framingham Heart Study. Overall vascular risk factor burden was calculated according to the Framingham Stroke Risk Profile, a validated algorithm that predicts stroke risk. Brain volume was estimated by MRI. We used cross-sectional data to examine how the strength of association between vascular risk factor burden and brain volume changed across each age decade from age 45–54 years through to 85–94 years (N = 2,887). Second, we leveraged up to 40 years of longitudinal data to determine how the strength of association between vascular risk factor burden and brain volume changed when vascular risk factors were examined at progressively earlier ages (N = 7,868).ResultsIn both cross-sectional and longitudinal analyses, higher vascular risk factor burden was associated with lower brain volume across each age decade. In the cross-sectional analysis, the strength of this association decreased with each decade of advancing age (p for trend < 0.0001). In longitudinal analysis, the strength of association between vascular risk factor burden and brain volume was stronger when vascular risk factors were measured at younger ages. For example, vascular risk factor burden was most strongly associated with lower brain volume in later life when vascular risk factors were measured at age 45 years.ConclusionVascular risk factors at younger ages appear to have detrimental effects on current and future brain volume.

Abstract TMP98: Could Mobile Health be an Effective Strategy for Enhancing Stroke Prevention?

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Shimeng Liu ◽  
Wuwei Feng ◽  
Pratik Y Chhatbar ◽  
Bruce I Ovbiagele
Keyword(s):  
Risk Factors ◽  
Smoking Cessation ◽  
Risk Factor ◽  
Glycemic Control ◽  
Mobile Health ◽  
Meta Analysis ◽  
Vascular Risk Factor ◽  
Smoking Abstinence ◽  
Vascular Risk ◽  
Risk Factor Control

Background: The overwhelming majority of strokes can be prevented via optimal vascular risk factor control. However, there remains an evidence practice gap with regard to treatment of vascular risk factors. With the rapid growth worldwide in cell-phone use, Internet connectivity, and digital health technology, mobile health (mHealth) technology may offer a promising approach to bridge these treatment gaps and reduce the global burden of stroke. Objective: To evaluate the effectiveness of mHealth in vascular risk factor control through a systemic review and meta-analysis. Methods: We searched PubMed from January 1, 2000 to May 17, 2016 using keywords: mobile health, mhealth, short message, cellular phone, mobile phone, stroke prevention and control, diabetes mellitus, hypertension, hyperlipidemia and smoking cessation. We performed a meta-analysis of all eligible randomized control clinical trials that assessed the long-term (at 6 months) effect of mHealth. Results: Of 79 articles identified, 13 of them met eligibility criteria (6 for glycemic control and 7 for smoking cessation) and were included for the final meta-analysis. There were no eligible studies for dyslipidemia or hypertension. mHealth resulted in greater HbA1c reduction at 6 months (6 studies; 663 subjects; SMD: -0.44; 95% CI: [-0.82, -0.06], P =0.02; Mean difference of decrease in HbA1c: -0.39%; 95% CI: [-0.74,-0.04], P =0.03). mHealth also led to relatively higher smoking abstinence rates at 6 months (7 studies; 9,514 subjects; OR: 1.54; 95% CI: [1.24, 1.90], P <0.0001). Conclusion: Use of mHealth improves glycemic control and smoking abstinence rates, two factors that may lead to better stroke outcomes. Future mHealth studies should focus on modifying premier vascular risk factors like hypertension, specifically in people with or at risk of stroke.

scholarly journals The comparison of traditional vascular risk factor between hemorrhagic and non-hemorrhagic stroke

2017 ◽  
Vol 8 (6) ◽  
pp. 5-8
Author(s):  
Rizaldy Taslim Pinzon ◽  
Rosa De Lima Renita Sanyasi ◽  
Andre Dharmawan Wijono
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Protective Factor ◽  
Hemorrhagic Stroke ◽  
Sample Size Calculation ◽  
Vascular Risk Factor ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Significance Level ◽  
Stroke Registry

Background: Understanding about risk factors of stroke based on its pathology is very important. Previous study about the vascular risk factors in patients with stroke in Indonesia is very limited.Aims and Objective: Measure the comparison between traditional vascular risk factors in patients with hemorrhagic stroke and non-hemorrhagic (ischemic) stroke.Materials and Methods: This was a nested case-control study using secondary data from electronic medical record and electronic stroke registry of Bethesda Hospital Yogyakarta Indonesia. The stroke was diagnosed with standard way by well-trained neurologist and confirmed with CT Scan. The traditional risk factors were defined systematically. We used Dupont Power and Sample Size calculation software and StatCal EpiInfo software with significance level 0,05.Result: The data of 200 subjects consisted of 100 patients with hemorrhagic stroke and 100 patients with non-hemorrhagic stroke. Hypertension was main vascular risk factor in both Group but it was more common in hemorrhagic stroke (OR: 2,528, 95% CI: 0,069 ; 0,316, p < 0,002). Dyslipidemia was a protective factor against hemorrhagic stroke (OR: 0,147, 95% CI: 1,415 ; 4,516, p < 0,001). Diabetes was more common in ischemic stroke compared with hemorrhagic stroke (68% and 32%) respectively.Conclusion: Hypertension, dyslipidemia, and diabetes were modifiable traditional vascular risk factors which significantly had effect on stroke. Asian Journal of Medical Sciences Vol.8(6) 2017 5-8

Different vascular risk factor profiles in ischemic stroke subtypes: a study fromthe "Sagrat Cor Hospital of Barcelona Stroke Registry"

2000 ◽  
Vol 102 (4) ◽  
pp. 264-270 ◽  
Author(s):  
A. Arboix ◽  
C. Morcillo ◽  
L. Garcia-Eroles ◽  
M. Oliveres ◽  
J. Massons ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Vascular Risk Factor ◽  
Vascular Risk ◽  
Stroke Registry ◽  
Stroke Subtypes

scholarly journals Predictors for carotid and femoral artery intima-media thickness in a non-diabetic sleep clinic cohort

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252569
Author(s):  
Christopher Lambeth ◽  
Rita Perri ◽  
Sharon Lee ◽  
Manisha Verma ◽  
Nicole Campbell-Rogers ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Intervention Study ◽  
Intima Media Thickness ◽  
Vascular Risk Factor ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Link Type ◽  
Media Thickness ◽  
Continuous Positive Pressure

Introduction The impact of sleep disordered breathing (SDB) on arterial intima-media thickness (IMT), a surrogate measure for cardiovascular disease, remains uncertain, in part because of the potential for non-SDB vascular risk factor interactions. In the present study, we determined predictors for common carotid (CCA) and femoral (CFA) artery IMT in an adult, sleep clinic cohort where non-SDB vascular risk factors (particularly diabetes) were eliminated or controlled. Methods We recruited 296 participants for polysomnography (standard SDB severity metrics) and CCA/CFA ultrasound examinations, followed by a 12 month vascular risk factor minimisation (RFM) and continuous positive pressure (CPAP) intervention for participants with a range of SDB severity (RFM Sub-Group, n = 157; apnea hyponea index [AHI]: 14.7 (7.2–33.2), median [IQR]). Univariable and multivariable linear regression models determined independent predictors for IMT. Linear mixed effects modelling determined independent predictors for IMT change across the intervention study. P<0.05 was considered significant. Results Age, systolic blood pressure and waist:hip ratio were identified as non-SDB predictive factors for CCA IMT and age, weight and total cholesterol:HDL ratio for CFA IMT. No SDB severity metric emerged as an independent predictor for either CCA or CFA IMT, except in the RFM Sub-Group, where a 2-fold increase in AHI predicted a 2.4% increase in CFA IMT. Across the intervention study, CCA IMT decreased in those who lost weight, but there was no CPAP use interaction. CFA IMT, however, decreased by 12.9% (95%CI 6.8, 18.7%, p = 0.001) in those participants who both lost weight and used CPAP > = 4hours/night. Conclusion We conclude that SDB severity has little impact on CCA IMT values when non-SDB vascular risk factors are minimised or not present. This is the first study, however, to suggest a potential linkage between SDB severity and CFA IMT values. Trial registration Australian New Zealand Clinical Trials Registry, ACTRN12611000250932 and ACTRN12620000694910.

scholarly journals Risk Factors of Asymptomatic Neurocognitive Impairment in People Living with HIV in an Indian Cohort

2020 ◽  
Vol 11 (02) ◽  
pp. 230-236
Author(s):  
Salil Gupta ◽  
Nirmala Venugopal
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Risk Factor ◽  
Predictive Value ◽  
Vascular Risk Factor ◽  
Screening Tools ◽  
People Living With Hiv ◽  
Vascular Risk ◽  
Asymptomatic Neurocognitive Impairment ◽  
Living With Hiv

Abstract Background Asymptomatic neurocognitive impairment (ANI) in people living with HIV (PLWH) can lower quality of life, reduce drug compliance, increase unemployment, and reduce life expectancy. Objective This study was aimed to identify risk factors of ANI in PLWH in an Indian cohort and explore the usefulness of Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment Score (MoCA) as screening tools. Methods PLWH under follow-up at an antiretroviral treatment center who were 18 to 60 years were included in this study. Patients were excluded if they had any cognitive symptoms, previous history of any central nervous system (CNS) pathology, or any systemic illness. Included patients were subjected to domain wise standardized neuropsychological battery. Six domains were screened including language, attention, speed, memory, sensory motor skills, and executive. Abnormal dysfunctional scores in at least two domains were taken as suggestive of ANI. The two groups thus created, ANI and normal cognition, were evaluated for differences. Variables evaluated as risk factors included age, sex, handedness, education, presence of at least one vascular risk factor, duration of disease, biochemical profile, cluster of differentiation 4 (CD4) count (both current and nadir) HIV viral load, and use of antiretroviral therapy (ART) and its CNS penetration effectiveness (CPE). MMSE and MoCA were also done in all patients. Statistical Analysis Regression analysis was used to find out significant variables. MMSE and MoCA scores were correlated using Spearman’s correlation coefficient. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were also determined Results Three hundred and eighty-four patients were included out of which 185 (48%) had ANI. In the multivariate regression analysis, female sex with odds Ratio (OR) of 1.89 (95% confidence interval [CI]: 1.21–2.79, p < 0.01), education below 10 years with OR = 2.43 (95% CI: 1.56–3.80, p < 0.01) and presence of at least one vascular risk factor with OR = 2.52 (95% CI: 1.67–3.80, p < 0.01) were found to be significant. Both MMSE and MoCA had a high PPV (0.99 and 0.97, respectively) but poor NPV (0.64 and 0.75) below a score of 25 with MoCA scoring slightly better. Both, MMSE and MoCA correlated well with each other. Conclusion Nearly half of our patients had ANI, despite being on ART. Majority of patients were on ART with CPE > 7 and had relatively preserved immune status. Female HIV patients with at least one vascular risk factor and less than 10 years of formal education were found to be at risk for ANI. MMSE and MoCA are not good screening tools to identify this condition.

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