[P2-320]: RISK FACTOR PROFILES PREDICTING DELAYED VASCULAR COGNITIVE IMPAIRMENT IN YOUNG AND OLD ISCHEMIC STROKE SURVIVORS

2017 ◽  
Vol 13 (7S_Part_15) ◽  
pp. P740-P742
Author(s):  
Russell J. Chander ◽  
Bonnie Y.K. Lam ◽  
Levinia Lim ◽  
Xuling Lin ◽  
Rajinder Singh ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Cognitive Impairment ◽  
Vascular Cognitive Impairment ◽  
Stroke Survivors

scholarly journals HUBUNGAN NILAI P300 DENGAN MOCA-INA PADA PASIEN DENGAN GANGGUAN KOGNITIF VASKULAR PASCASTROKE ISKEMIK

2020 ◽  
Vol 36 (3) ◽  
Author(s):  
Susilo Susilo ◽  
Yudy Goysal ◽  
Abdul Muis ◽  
Muhammad Akbar ◽  
Andi Kurnia Bintang ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Cognitive Impairment ◽  
Human Life ◽  
Strong Predictor ◽  
Vascular Cognitive Impairment ◽  
P300 Amplitude ◽  
P300 Latency ◽  
Cross Sectional ◽  
Neurology Clinic ◽  
Cross Sectional Design

      ASSOCIATION OF P300 VALUE WITH MOCA-INA IN VASCULAR COGNITIVE IMPAIRMENT POST-ISCHEMIC STROKE PATIENTSABSTRACTIntroduction: Stroke is a major threat in human life because it can cause disability and mortality. Cognitive impairment in early stroke is strong predictor for long term vascular cognitive impairment while neuropsychology method is superior than conventional method to diagnose cognitive impairment, especially P300.Aim: To identify the association between P300 values and MoCA-Ina in vascular cognitive impairment post ischemic stroke patients.Methods: It is a cross sectional design study for ischemic stroke patients who suffered from vascular cognitive impairment during April to June 2018 in Neurology Clinic of Dr. Wahidin Sudirohusodo Hospital, Makassar. The statistical analysis was performed by Pearson’s correlation test.Result: There were 20 samples, male (60%) and female (40%). The average MoCA-Ina score was 19.35±6.06; the average P300 latency in Fz, Cz, and Pz were 370.22±49.01ms, 360.78±38.27ms, and 361.02±44.45ms, respectively; the average P300 in Fz, Cz, and Pz amplitude were 6.09±3.10µV, 5.67±3.49µV, and 6.10±2.77µV, respectively. The Pearson’s showed that P300 latency had significantly correlation  with MoCA-Ina score while no correlation between the P300 amplitude and MoCA-Ina.Discussion: There was correlation between P300 latency with MoCA-Ina in vascular cognitive impairment post ischemic stroke patients.Keywords: Ischemic stroke, MoCA-Ina, P300 value, vascular cognitive impairment.ABSTRAKPendahuluan: Stroke merupakan suatu ancaman terbesar di kehidupan manusia karena dapat menimbulkan kecacatan dan kematian. Gangguan kognitif pada awal stroke merupakan prediktor kuat untuk gangguan kognitif vaskular jangka panjang dan metode neuropsikologi lebih unggul daripada metode konvensional untuk mendiagnosis gangguan kognitif, terutama P300.Tujuan: Untuk mengetahui hubungan nilai P300 dengan MoCA-Ina pada pasien gangguan kognitif vaskular pascastroke iskemik.Metode: Desain studi potong lintang terhadap pasien stroke iskemik yang mengalami gangguan kognitif vaskular selama bulan April sampai Juni 2018 di Poliklinik Saraf RSUP Dr. Wahidin Sudirohusodo, Makassar. Data diolah menggunakan uji korelasi Pearson’s.Hasil: Didapatkan 20 orang sampel laki-laki (60%) dan perempuan (40%). Nilai MoCA-Ina rata-rata 19,35±6,06; hasil rata-rata latensi gelombang P300 di Fz, Cz, dan Pz   masing-masing adalah 370,22±49,01, 360,78±38,27, dan 361,02±44,45; rata-rata tinggi amplitudo P300 di Fz masing-masing adalah 6,09±3,10, 5,67±3,49, dan 6,10±2,77. Hasil uji korelasi Pearson’s menunjukkan latensi P300 berkorelasi signifikan terhadap MoCA-Ina, sedangkan amplitudo P300 tidak.Pembahasan: Ada hubungan antara latensi gelombang P300 dengan MoCA-Ina pada pasien gangguan kognitif vaskular pascastroke iskemik.Kata kunci: Gangguan kognitif vaskular, MoCA-Ina, nilai P300, stroke iskemik  

Abstract WMP113: Serial Cognitive Testing Performance by Baseline Fazekas Category in Stroke Survivors: A Secondary Analysis of the SPS-3 Trial

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Adam H de Havenon ◽  
Natalia Rost ◽  
Shyam Prabhakaran
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Cognitive Abilities ◽  
Secondary Analysis ◽  
College Education ◽  
Cognitive Testing ◽  
White Matter Hyperintensity ◽  
Absolute Difference ◽  
Stroke Survivors ◽  
One Year

Introduction: Prior research has shown that an increased burden of white matter hyperintensity (WMH) is an independent risk factor for the development of dementia. However, research has not focused specifically on stroke survivors, who are also predisposed to dementia. Methods: This is a secondary analysis of patients in the Secondary Prevention of Small Subcortical Strokes (SPS3) trial, who had a lacunar ischemic stroke within 6 months of enrollment and an MRI at study baseline. The primary outcome is change in the Cognitive Abilities Screening Instrument (CASI) from baseline to a 12 month follow-up. The primary predictor is the Fazekas score on the baseline MRI, with the scores of 0 and 1 collapsed to balance the cohort. We fit regression models to the 12 month CASI and adjusted for baseline CASI, patient age, gender, white race, Barthel Index score at 3 months from enrollment, college education, employment status, diabetes, COPD, and SPS3 randomization arm. Results: We included 2,413 patients with a mean (SD) age of 62.8 (10.6) years and 63.7% were male. There were 946 patients in Fazekas 0-1, 1,009 in Fazekas 2, and 458 in Fazekas 3. The mean (SD) CASI score at baseline and 12 months were 85.3 (12.4) and 86.0 (12.4). In the adjusted linear regression model, compared to a baseline Fazekas of 0-1, a baseline Fazekas of 2 was associated with a worse cognitive score (β coef = -0.55, 95% CI -1.01, -0.08, p=0.020), as was Fazekas of 3 (β coef = -0.76, 95% CI -1.36, -0.16, p=0.013). Conclusion: In patients with recent lacunar stroke, an increased baseline WMH burden is a risk factor for worse performance over a one year period on a validated test of global cognition. Although the absolute difference in score that we found was small (~0.5-0.8 points), this difference is over one year and, over years to decades, could become clinically significant. The implication of this finding is that lacunar ischemic stroke has additive cognitive consequences for patients with an established WMH burden, suggesting that primary stroke prevention in patients with WMH could be an important public health goal to reduce the burden of dementia.

O1-12-04: Retinal microvascular changes in vascular cognitive impairment compared to ischemic stroke

2015 ◽  
Vol 11 (7S_Part_3) ◽  
pp. P160-P160
Author(s):  
Yi-Ting Ong ◽  
Saima Hilal ◽  
Mohammad Kamran Ikram ◽  
Narayanaswamy Venketasubramanian ◽  
Tien Yin Wong ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Cognitive Impairment ◽  
Vascular Cognitive Impairment ◽  
Microvascular Changes

Improving screening for vascular cognitive impairment at three to six months after mild ischemic stroke and transient ischemic attack

2014 ◽  
Vol 26 (5) ◽  
pp. 787-793 ◽  
Author(s):  
YanHong Dong ◽  
Melissa Jane Slavin ◽  
Bernard Poon-Lap Chan ◽  
Narayanaswamy Venketasubramanian ◽  
Vijay Kumar Sharma ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Cognitive Impairment ◽  
Transient Ischemic Attack ◽  
Predictive Value ◽  
Characteristic Curve ◽  
Neuropsychological Testing ◽  
Vascular Cognitive Impairment ◽  
Cognitive Domain ◽  
Speed Test ◽  
Ischemic Attack

ABSTRACTBackground:The Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) were compared with and without the addition of a brief processing speed test, the symbol digit modalities test (SDMT), for vascular cognitive impairment (VCI) screening at three to six months after stroke.Methods:Patients with ischemic stroke and transient ischemic attack were assessed with MoCA and MMSE, as well as a formal neuropsychological battery three to six months after stroke. VCI was defined by impairment in any cognitive domain on neuropsychological testing. The area under the receiver operating characteristic curve (AUC) was used to compare test discriminatory ability.Results:One hundred and eighty-nine patients out of 327 (58%) had VCI, of whom 180 (95%) had vascular mild cognitive impairment (VaMCI), and nine (5%) had dementia. The overall AUCs of the MoCA and MMSE scores and performance at their respective cut-off points were equivalent in detecting VCI (AUCs: 0.87 (95% CI 0.83–0.91) vs. 0.84 (95% CI 0.80–0.88), p = 0.13; cut-offs: MoCA (≤23) vs. MMSE (≤26), sensitivity: 0.78 vs. 0.71; specificity: 0.80 vs. 0.82; positive predictive value: 0.84 vs. 0.84; negative predictive value: 0.72 vs. 0.67; and correctly classified 78.6% vs. 75.5%; p = 0.42). The AUCs of MMSE and MoCA were improved significantly by the SDMT (AUCs: MMSE+SDMT 0.90 (95% CI 0.87–0.93), p <0.001; MoCA+SDMT 0.91 (95% CI 0.88–0.94), p < 0.02).Conclusions:The MoCA and MMSE are equivalent and moderately sensitive, and can be supplemented with the SDMT to improve their accuracy in VCI screening.

The current situation on vascular cognitive impairment after ischemic stroke in Changsha

2014 ◽  
Vol 58 (2) ◽  
pp. 236-247 ◽  
Author(s):  
Qiuyun Tu ◽  
Binrong Ding ◽  
Xia Yang ◽  
Song Bai ◽  
Junshi Tu ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Cognitive Impairment ◽  
Vascular Cognitive Impairment ◽  
Current Situation

Profile and predictors of vascular cognitive impairment in African stroke survivors: The CogFAST — /INS;Nigeria study

2013 ◽  
Vol 333 ◽  
pp. e346
Author(s):  
R.O. Akinyemi ◽  
L. Allan ◽  
M.O. Owolabi ◽  
J.O. Akinyemi ◽  
A. Ajani ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Vascular Cognitive Impairment ◽  
Stroke Survivors

scholarly journals Goal Setting Improves Cognitive Performance in a Randomized Trial of Chronic Stroke Survivors

Stroke ◽  
2021 ◽  
Vol 52 (2) ◽  
pp. 458-470
Author(s):  
Keera N. Fishman ◽  
Andrea R. Ashbaugh ◽  
Richard H. Swartz
Keyword(s):  
Working Memory ◽  
Cognitive Impairment ◽  
Executive Function ◽  
Cognitive Performance ◽  
Goal Setting ◽  
Verbal Learning ◽  
Chronic Phase ◽  
Vascular Cognitive Impairment ◽  
Stroke Survivors ◽  
Verbal Recall

Background and Purpose: Cognitive impairment after stroke, especially executive and attention dysfunction, is common, negatively affects daily functioning, and has limited treatment options. A single-blind, parallel-design, randomized controlled trial was used to examine the impact of goal setting on poststroke cognitive performance. Methods: Stroke survivors (n=72; mean age, 68.38 [SD=11.84] years; 69.4% men) in the chronic phase (≥3 months) after stroke from an academic stroke prevention clinic were randomly assigned to receive goal-setting instructions (n=36) or standard instructions (n=36) after completing baseline cognitive measures of executive function (primary outcome), attention/working memory, verbal learning, and verbal recall. Results: A one-way mixed multivariate analysis of covariance (MANCOVA) found a group by instructional manipulation interaction effect for executive function (Wilks λ=0.66; F [3,66]=11.30; P ≤0.001; η 2 p =0.34), after adjusting for age and years of education. After similar adjustment, attention/working memory (Wilks λ=0.86; F [5,63]=2.10; P =0.043; η 2 p =0.16) and verbal learning ( F [1,60]=5.81; P =0.019; η 2 p =0.09) also showed improvement after instruction but not verbal recall (Wilks λ=0.95; F [1,56]=2.82; P =0.099; η 2 p =0.05). There were no adverse events. Conclusions: Goal setting improved executive function, attention/working memory, and learning in a heterogeneous sample in the chronic phase after stroke. This suggests that >3 months after stroke, vascular cognitive impairment is not a fixed deficit; there is a motivational contributor. Brief treatments targeting goal-oriented behavior and motivation may serve as a novel approach or adjunct treatment to improve cognitive outcomes after stroke. Future research should investigate the use of goal setting on functional outcomes (eg, instrumental activities of daily living and vocational function) in this population, highlighting new potential avenues for treatment for vascular cognitive impairment. Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT03511300.

Vascular cognitive impairment

2020 ◽  
pp. 454-463
Author(s):  
Joanne A. Byars ◽  
Ricardo E. Jorge
Keyword(s):  
Risk Factor ◽  
Cognitive Impairment ◽  
Vascular Risk Factor ◽  
Vascular Cognitive Impairment ◽  
Severe Form ◽  
Functional Change ◽  
Vascular Pathology ◽  
Vascular Risk ◽  
Risk Factor Modification ◽  
Factor Modification

Vascular cognitive impairment (VCI)—vascular dementia (VasD) in its severe form—is cognitive impairment due to cerebral ischaemic or haemorrhagic disease. VasD is the second most common cause of dementia in the United States. VCI and Alzheimer’s disease can coexist and synergistically worsen each other. Clinical features of VCI can vary, depending on which areas of the brain the vascular pathology affects. Individuals without a history of clinical stroke can still have VCI; small-vessel cerebrovascular disease can present as an insidious cognitive decline, rather than an abrupt functional change. Neuroimaging plays a key role in diagnosing VCI and distinguishing it from other aetiologies of cognitive impairment. Aggressive vascular risk factor modification helps prevent VCI and improves outcomes in VCI, and represents the most important intervention for this condition. Early detection of VCI maximizes the effectiveness of vascular risk factor modification. Cholinesterase inhibitors and memantine may offer some cognitive benefit in VCI.

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