Sascha Rasquin

Predictive Accuracy of MCI Subtypes for Alzheimer’s Disease and Vascular Dementia in Subjects with Mild Cognitive Impairment: A 2-Year Follow-Up Study

Aim: The aim of this study was to investigate the prognostic accuracy of different subtypes of mild cognitive impairment (MCI): amnestic MCI, multiple domain MCI, and single non-memory domain MCI, for the development of Alzheimer’s dementia (AD) and vascular dementia (VaD). Patients: Nondemented patients from a memory clinic cohort (n = 118), and a stroke cohort (n = 80, older than 55 years and with a cognitive impairment). Results: ‘Multiple domain MCI’ had the highest sensitivity for both AD (80.8%) and VaD (100%), and ‘amnestic MCI’ had the highest specificity (85.9% for AD, 100% for VaD). The positive predictive value was low for all subtypes (0.0–32.7%), whereas the negative predictive value was high (72.8–100%). Discussion: The subtype ‘multiple domain MCI’ has high sensitivity in identifying people at risk for developing AD or VaD. The predictive accuracy of the MCI subtypes was similar for both AD and VaD.

Cognitive Functioning after Stroke: A One-Year Follow-Up Study

Cognitive disorders after stroke are one of the main causes of disability in daily activities. The main aim of this study was to investigate the frequency of post-stroke dementia, post-stroke mild cognitive impairment (MCI) and post-stroke amnestic MCI at different times after first-ever stroke; 196 patients were included in the study. In addition, cognitive disorders and their clinical course were studied. Frequency of post-stroke dementia was about 10% at all evaluation times; most patients had post-stroke MCI. Of the cognitive functions investigated, mental speed and calculation were most frequently affected. Performance on almost all cognitive tests was improved 6 and 12 months after stroke. Thus, while the frequency of post-stroke dementia is low, the frequency of post-stroke MCI is high, but improvement of cognitive function is possible.

Demographic and CT scan features related to cognitive impairment in the first year after stroke

Objective: Little is known about the relation between stroke related features and cognitive performance over time when stroke patients with dementia or less severe cognitive disorders are considered separately. We aimed to study the features (computed tomography (CT) scan and demographic) that could be related to vascular cognitive impairment one, six, and 12 months after stroke. Methods: A total of 176 patients with a first-ever brain infarct, a Mini Mental State Examination score ⩾15, age older than 40 years, and without pre-stroke dementia and other neurological or psychiatric disorders participated in this study. The following CT scan features were recorded: side of infarct, lacunar or territorial infarct, white matter lesions, silent infarcts, and brain atrophy. The demographic features studied were: age, level of education, and sex. Univariate and multivariate logistic regression analyses were performed to compare the three groups of patients (patients with dementia, patients with vascular cognitive impairment (VCI), and patients with vascular mild cognitive impairment (MCI)) with patients without cognitive disorders. Results: At one month none of the variables were predictors of dementia; at six months older age (odds ratio (OR) 9.4), low education (OR 14.7), and territorial infarct (OR 10.6) predicted dementia; and at 12 months low education (OR 8.7) and pre-stroke cerebrovascular damage (OR 7.4) predicted dementia. Predictors of VCI were low education (OR 3.4) and territorial infarct (OR 2.4) at one month post stroke; older age (OR 4.3) and low education (OR 4.1) at six months; and older age (OR 3.5) at 12 months. Predictors of vascular MCI were low education (OR 4.96) and territorial infarct (OR 3.58) at one month; and older age and lower education at six months (OR 3.4 and 3.7, respectively) and at 12 months (OR 3.5 and 2.28, respectively). Conclusions: Territorial infarct, older age, and low educational level are predictors of cognitive disorders after stroke.

How predictive is the MMSE for cognitive performance after stroke

Cognitive deficits are commonly observed in stroke patients. Neuropsychological testing is time-consuming and not easy to administer after hospital discharge. Standardised screening measures are desirable. The Mini-Mental State Examination (MMSE) is the test most widely applied to screen for cognitive deficits. Despite its broad use, its predictive characteristics after stroke have not been exhaustively investigated. The aim of this study was to determine whether the MMSE is able to adequately screen for cognitive impairment and dementia after stroke and whether or not the MMSE can predict further deterioration or recovery in cognitive function over time. To this end, we studied 194 first-ever stroke patients without pre-stroke cognitive deterioration who underwent MMSEs and neuropsychological test batteries at 1, 6, 12, and 24xa0months after stroke. The MMSE score 1xa0month after stroke predicted cognitive functioning at later follow-up visits. It could not predict deterioration or improvement in cognitive functioning over time. The cut-off score in the screening for 1 cognitive disturbed domain was 27/28 with a sensitivity of 0.72. The cut-off score in the screening for at least 4 impaired domains and dementia were 26/27 and 23/24 with a sensitivity of 0.82 and 0.96, respectively. The results indicated that the MMSE has modest qualities in screening for mild cognitive disturbances and is adequate in screening for moderate cognitive deficits or dementia in stroke patients 1xa0month after stroke. Poor performance on the MMSE is predictive for cognitive impairment in the long term. However, it cannot be used to predict further cognitive deterioration or improvement over time.

Vascular cognitive disorders: Memory, mental speed and cognitive flexibility after stroke

This study investigated the occurrence of cognitive disorders 1 and 6 months after stroke in a cohort of patients with a first-ever stroke. In addition, it was investigated whether age, sex and level of education are risk factors for vascular cognitive disorders. Memory, simple speed, cognitive flexibility and overall cognitive functioning were examined in 139 patients at 1 and 6 months post-stroke. Inclusion criteria on admission were first cerebral stroke, age>/=40, no other neurological or psychiatric disorders and ability to communicate. Mean age was 69.3 years (S.D.=12.3). Patients were compared with a healthy control group matched for age, sex and level of education. A large group of patients who, at 1 month after stroke, scored below the cutoff on cognitive domains, scored above the cutoff on most of these cognitive domains at 6 months. For overall cognitive functioning, 16 out of 39, for memory, 13 out of 26 and for cognitive flexibility, 15 out of 49 patients, who at 1 month scored below the cutoff, scored above the cutoff at 6 months. Simple speed did not change; 12 patients scored above the cutoff and 7 patients scored below the cutoff at 6 months after stroke. Speaking in terms of improvement or deterioration, most people remained stable on the four cognitive domains (ranging from 37.6% to 83.5%), and a substantial group improved (ranging from 12.9% to 52.1%). Older and female patients had more cognitive disturbances. Overall, the conclusion is that the prognosis of cognitive functioning after stroke is general favourable, especially in younger patients.

Predictors of reversible mild cognitive impairment after stroke: a 2-year follow-up study.

UNLABELLEDnMany studies have investigated mild cognitive impairment (MCI) in the context of prodromal dementia, but few have investigated recovery from MCI. The aim of this study was to determine the prevalence of reversible MCI after stroke and to identify factors related to recovery.nnnMETHODSnOne hundred and eighteen patients with a first ever cerebral stroke were followed up for 2 years. Neuropsychological assessment was performed at 1, 6, 12, and 24 months poststroke. Possible predictors of reversible MCI were demographic variables, baseline MMSE scores, presence of stroke risk factors, and CT variables. Poststroke MCI was diagnosed when there was a deficit in at least one cognitive domain, without their being demented. Recovery was considered when MCI was no longer present.nnnRESULTSnTwenty-four (20.3%) patients were classified as having permanent reversible MCI and were compared with patients without recovery. Most patients recovered from MCI between the first and second assessments (19.7% versus 13.1% and 2.0% later on). Higher baseline MMSE scores and female sex were independent predictors of recovery (OR(High MMSE)=9.9; OR(female sex)=2.8). Neither stroke-related risk factors nor CT variables were predictors of favorable outcome.nnnCONCLUSIONnAbout 20% of patients with poststroke MCI recover from MCI. Higher MMSE scores at baseline and female sex are independent predictors of this recovery.

Using a Delphi Technique to Seek Consensus Regarding Definitions, Descriptions and Classification of Terms Related to Implicit and Explicit Forms of Motor Learning

Background Motor learning is central to domains such as sports and rehabilitation; however, often terminologies are insufficiently uniform to allow effective sharing of experience or translation of knowledge. A study using a Delphi technique was conducted to ascertain level of agreement between experts from different motor learning domains (i.e., therapists, coaches, researchers) with respect to definitions and descriptions of a fundamental conceptual distinction within motor learning, namely implicit and explicit motor learning. Methods A Delphi technique was embedded in multiple rounds of a survey designed to collect and aggregate informed opinions of 49 international respondents with expertise related to motor learning. The survey was administered via an online survey program and accompanied by feedback after each round. Consensus was considered to be reached if ≥70% of the experts agreed on a topic. Results Consensus was reached with respect to definitions of implicit and explicit motor learning, and seven common primary intervention strategies were identified in the context of implicit and explicit motor learning. Consensus was not reached with respect to whether the strategies promote implicit or explicit forms of learning. Discussion The definitions and descriptions agreed upon may aid translation and transfer of knowledge between domains in the field of motor learning. Empirical and clinical research is required to confirm the accuracy of the definitions and to explore the feasibility of the strategies that were identified in research, everyday practice and education.

Cognitive Functioning in the Acute Phase Poststroke: A Predictor of Discharge Destination?

Cognitive dysfunction occurs in more than half of stroke survivors and can have far-reaching consequences for functioning in daily life. Assessment of cognitive function can play a major role in determining the appropriate discharge destination after a hospital stay. The present study aimed to determine the feasibility of cognitive screening in the acute phase poststroke and to investigate whether this cognitive screening can accurately predict discharge destination to either a dependent or an independent living situation. A total of 287 patients with a first-ever cerebral stroke consecutively admitted to a stroke unit of a general hospital were eligible for the study. All patients underwent neuropsychological screening, consisting of the Mini-Mental State Examination (MMSE), Cognitive Screening Test (CST), and Clock-Drawing Test, within 7 days poststroke. Screening was feasible in 73.2% of the patients. Logistic regression analysis showed that the Barthel Index (BI) score (ie, ability to perform activities of daily living) could predict the discharge destination with 47% explained variance when age and BI score were taken into account. Adding the 3 cognitive tests to the model with age and BI improved the explained variance substantially (53%), with a significant contribution of BI and CST. Cognitive screening in the acute phase poststroke appeared to be feasible and capable of supporting the decision of whether to discharge a patient to home or to a dependent living situation. Functional status improved the predictive value of the model; the MMSE was not suitable for prediction. A comprehensive set of various predictors, including cognition, is recommended to support discharge planning.

The Association between Psychiatric and Cognitive Symptoms after Stroke: A Prospective Study

Background: Stroke patients often have neuropsychiatric symptoms and cognitive deficits. The aim of this study was to investigate whether stroke patients with psychiatric symptoms are at increased risk of developing cognitive deficits. Methods: Cognitive function (assessed with a neuropsychological test battery) and presence of psychiatric symptoms (assessed with the 90-item Symptom Checklist) were evaluated at 1, 6, 12 and 24 months after stroke. Results: At baseline, 156 patients entered the study, 15 had a diagnosis of vascular dementia, 113 one of post-stroke mild cognitive impairment. Patients with psychiatric symptoms were found to be at increased risk of being diagnosed as having vascular dementia at baseline (OR = 6.9, CI = 1.3–36.8) and showed more decline on cognitive function 6 months after stroke. Conclusions: Patients with psychiatric symptoms after stroke are at increased risk of cognitive deficits and decline in cognitive functioning.

Depressive symptoms and executive functioning in stroke patients: a follow-up study.

Cognitive and emotional sequellae are commonly observed in stroke patients and these symptoms often co‐occur. Diagnosis can be difficult since symptoms of depression and executive dysfunction overlap.