Mini mental state examination in geriatric stroke patients. Validity, differences between subgroups of patients, and relationships to somatic and mental variables

Screening for post-stroke neurocognitive disorders in diverse populations: A systematic review

Objective: Although neurocognitive disorders (NCD) are common post-stroke, many populations do not have adapted cognitive screens and cut-offs. We therefore reviewed the appropriateness of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Oxford Cognitive Screen (OCS) for diagnosing NCD in culturally diverse stroke populations. Method: Using an extensive search string, diagnostic accuracy studies for MMSE, MoCA and OCS in the stroke population were retrieved from four databases. We compared translations and adaptations, adjustments in scores and cut-offs, and their diagnostic accuracy. Results: The search resulted in 28 MMSE, 39 MoCA and 5 OCS-studies in 13 western, educated, industrialized, rich and democratic (WEIRD) and 4 other countries. There was a lack of studies on South-American, African, and non-Chinese-Asian populations. All three tests needed adaptation for less WEIRD populations and populations with languages with non-Latin features. Optimal MMSE and OCS subtest cut-offs were similar across WEIRD and less WEIRD populations, whereas optimal MoCA cut-offs appeared lower for less WEIRD populations. The use of adjusted scores resulted in different optimal cut-offs or similar cut-offs with better accuracy. Conclusions: MoCA, MMSE and OCS are promising tools for diagnosing post-stroke-NCD. For culturally diverse populations, translation, adaptation and adjusted scores or cut-offs are necessary for diagnostic accuracy. Available studies report scarcely about their sample's cultural background and there is a lack of diagnostic accuracy studies in less WEIRD or culturally diverse populations. Future studies should report more cultural characteristics of their sample to provide better insight into the tests' accuracy in culturally diverse populations.

The effects of visual skills training on cognitive and executive functions in stroke patients: a systematic review with meta-analysis

The visual system and associated skills are of particular importance in stroke rehabilitation. The process of neuroplasticity involved in restoring cognitive function during this period is mainly based on anatomical and physiological mechanisms. However, there is little evidence-based knowledge about the effects of visual skills training that could be used to improve therapeutic outcomes in cognitive rehabilitation. A computerized systematic literature search was conducted in the PubMed, Medline, and Web of Science databases from 1 January 1960 to 11 Febuary 2024. 1,787 articles were identified, of which 24 articles were used for the calculation of weighted standardized mean differences (SMD) after screening and eligibility verification. The findings revealed moderate effects for global cognitive function (SMD = 0.62) and activities of daily living (SMD = 0.55) as well as small effects for executive function (SMD = 0.20) - all in favor of the intervention group. The analyses indicate that the results may not be entirely robust, and should therefore be treated with caution when applied in practice. Visual skills training shows positive effects in improving cognitive and executive functions, especially in combination with high cognitive load and in an early phase of rehabilitation. An improvement in activities of daily living can also be observed with this type of intervention. The high heterogeneity of the studies and different treatment conditions require the identification of a relationship between certain visual skills and executive functions in future research.

Minimal Clinically Important Difference (MCID) in the Functional Status Measures in Patients with Stroke: Inverse Probability Treatment Weighting

This study proposed to evaluate the temporal trend, define the minimal clinically important difference (MCID) for five functional status measures, and identify risk factors for reaching deterioration in the MCID. This prospective cohort study analyzed 680 patients with ischemic stroke and 151 patients with hemorrhagic stroke at six hospitals between April 2015 and October 2021. All patients completed the functional status measures before rehabilitation (baseline), and at the 12th week and 2nd year after rehabilitation. Patients in the post-acute care (PAC) group exhibited significantly larger improvements for the functional status measures compared to those in the non-PAC group (p < 0.05). Patients with hemorrhagic stroke also displayed larger improvements in the functional status measures when compared to patients with ischemic stroke. Furthermore, the improvement in MCID ranged from 0.01 to 16.18 points when comparing baseline and the 12th week after rehabilitation, but the deterioration in MCID ranged from 0.38 to 16.12 points. Simultaneously, assessing the baseline and the second year after rehabilitation, the improvement in MCID ranged from 0.01 to 18.43 points, but the deterioration in MCID ranged from 0.68 to 17.26 points. Additionally, the PAC program, age, education level, body mass index, smoking, readmission within 30 days, baseline functional status score, use of Foley catheter and nasogastric tube, as well as a history of previous stroke are significantly associated with achieving deterioration in MCID (p < 0.05). These findings suggest that if the mean change scores of the functional status measures have reached the thresholds, the change scores can be perceived by patients as clinically important.

Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study

Background

Machine learning algorithms for predicting 30-day stroke readmission are rarely discussed. The aims of this study were to identify significant predictors of 30-day readmission after stroke and to compare prediction accuracy and area under the receiver operating characteristic (AUROC) curve in five models: artificial neural network (ANN), K nearest neighbor (KNN), random forest (RF), support vector machine (SVM), naive Bayes classifier (NBC), and Cox regression (COX) models.

Methods

The subjects of this prospective cohort study were 1,476 patients with a history of admission for stroke to one of six hospitals between March, 2014, and September, 2019. A training dataset (n = 1,033) was used for model development, and a testing dataset (n = 443) was used for internal validation. Another 167 patients with stroke recruited from October, to December, 2019, were enrolled in the dataset for external validation. A feature importance analysis was also performed to identify the significance of the selected input variables.

Results

For predicting 30-day readmission after stroke, the ANN model had significantly (P &lt; 0.001) higher performance indices compared to the other models. According to the ANN model results, the best predictor of 30-day readmission was PAC followed by nasogastric tube insertion and stroke type (P &lt; 0.05). Using a machine learning ANN model to obtain an accurate estimate of 30-day readmission for stroke and to identify risk factors may improve the precision and efficacy of management for these patients.

Conclusion

Using a machine-learning ANN model to obtain an accurate estimate of 30-day readmission for stroke and to identify risk factors may improve the precision and efficacy of management for these patients. For stroke patients who are candidates for PAC rehabilitation, these predictors have practical applications in educating patients in the expected course of recovery and health outcomes.

European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment

BACKGROUND AND PURPOSE

The optimal management of post-stroke cognitive impairment (PSCI) remains controversial. These joint European Stroke Organisation (ESO) and European Academy of Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making regarding prevention, diagnosis, treatment and prognosis.

METHODS

Guidelines were developed according to the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews, assessed the quality of the available evidence, and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available to provide recommendations.

RESULTS

There was limited randomized controlled trial (RCT) evidence regarding single or multicomponent interventions to prevent post-stroke cognitive decline. Lifestyle interventions and treating vascular risk factors have many health benefits, but a cognitive effect is not proven. We found no evidence regarding routine cognitive screening following stroke, but recognize the importance of targeted cognitive assessment. We describe the accuracy of various cognitive screening tests, but found no clearly superior approach to testing. There was insufficient evidence to make a recommendation for use of cholinesterase inhibitors, memantine nootropics or cognitive rehabilitation. There was limited evidence on the use of prediction tools for post-stroke cognition. The association between PSCI and acute structural brain imaging features was unclear, although the presence of substantial white matter hyperintensities of presumed vascular origin on brain magnetic resonance imaging may help predict cognitive outcomes.

CONCLUSIONS

These guidelines highlight fundamental areas where robust evidence is lacking. Further definitive RCTs are needed, and we suggest priority areas for future research.

European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment

The optimal management of post-stroke cognitive impairment remains controversial. These joint European Stroke Organisation (ESO) and European Academy of Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making around prevention, diagnosis, treatment and prognosis. These guidelines were developed according to ESO standard operating procedure and the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews and, where possible, meta-analyses of the literature, assessed the quality of the available evidence and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available to provide recommendations based on the GRADE approach. There was limited randomised controlled trial evidence regarding single or multicomponent interventions to prevent post-stroke cognitive decline. Interventions to improve lifestyle and treat vascular risk factors may have many health benefits but a beneficial effect on cognition is not proven. We found no evidence around routine cognitive screening following stroke but recognise the importance of targeted cognitive assessment. We described the accuracy of various cognitive screening tests but found no clearly superior approach to testing. There was insufficient evidence to make a recommendation for use of cholinesterase inhibitors, memantine nootropics or cognitive rehabilitation. There was limited evidence on the use of prediction tools for post-stroke cognitive syndromes (cognitive impairment, dementia and delirium). The association between post-stroke cognitive impairment and most acute structural brain imaging features was unclear, although the presence of substantial white matter hyperintensities of presumed vascular origin on acute MRI brain may help predict cognitive outcomes. These guidelines have highlighted fundamental areas where robust evidence is lacking. Further, definitive randomised controlled trials are needed, and we suggest priority areas for future research.

The Berg Balance Scale at Admission Can Predict Community Ambulation at Discharge in Patients with Stroke

Background and Objectives: To regain the ability of community ambulation is a meaningful goal for stroke patients. Recent research recommended that the distance accomplished during the six-minute walk test (≥205 m in 6MWT) is the fittest for defining community ambulation. Until now, there are few studies that have used the updated definition to investigate the related predictors. The aim of this study was to investigate the association between the admission clinical parameters and community ambulation measured by the 6MWT at discharge. The other aim was to find the admission Berg Balance Scale (BBS) cut-off score to discriminate between household or community ambulators. Materials and Methods: This cohort study collected the data of patients who entered the post-acute Care Cerebrovascular Diseases program. Multivariate logistic regression was used to identify significant predictors measured at admission that are associated with community ambulation, and a receiver operating characteristic was adopted to calculate the cut-off value for admission status. There were 120 participants included in this study, and 25% (n = 30) of them regained the ability of community ambulation at discharge. The BBS on admission was identified as the only significant predictor for community ambulation (odds ratio 1.06). Results: The optimal cut-off score for the BBS at admission was 29, and the area under the curve for BBS scores on admission when discriminating between household and community ambulators at discharge was 0.74. Conclusions: The admission BBS scores could be used to predict household and community ambulators at discharge in stroke patients. The results of this study could help clinical physicians set appropriate discharge goals early.

The effects of virtual reality augmented robot-assisted gait training on dual-task performance and functional measures in chronic stroke: a randomized controlled single-blind trial

BACKGROUND

Many studies have demonstrated positive effects of virtual reality (VR) and robot-assisted gait training (RAGT) on balance, gait skills, functional capacity, active participation, and motivation in stroke patients, previously. However, the effects of VR augmented RAGT on dual-task performance which requires simultaneous use of motor and cognitive parameters have not been investigated.

AIM

To primarily investigate the effects of virtual reality (VR) augmented robot-assisted gait training (RAGT) on dual-task performance and secondarily, functional measurements in chronic stroke patients.

DESIGN

A randomized, single-blind trial.

SETTING

Inpatient rehabilitation center.

POPULATION

The study included 30 chronic stroke patients aged between 40-65 with the level of ≥3 from Functional Ambulation Classification and ≥24 from the Standardized Mini Mental State Examination.

METHODS

Fifteen patients in the study group received VR augmented RAGT and 15 patients in the control group received only RAGT during 12 sessions (six weeks). All patients received neurodevelopmental therapy in addition to their treatments, simultaneously. To evaluate dual-task performance, motor and cognitive tasks were given in addition to the 10 Meter Walk (first motor task), and durations were recorded in seconds. Functional measures such as Functional Gait Assessment, Rivermead Mobility Index, Berg Balance Scale, Fall Activity Scale International, and the Functional Independence Measure for gait, mobility, balance, fear of falling, and independence in daily living activities were also applied, consecutively.

RESULTS

The mean age of the study population was 57.93±5.91. After the treatment, single and dual-task gait speeds and cognitive dual-task performance increased in the study group (P<0.05), while no change was observed in the control group (P>0.05). No significant difference was detected between the groups in terms of all assessments after the treatment (P>0.05).

CONCLUSIONS

This study demonstrated that VR augmented RAGT improved dual-task gait speeds and dual-task performance of chronic stroke patients; however, there were no difference between the two groups after the treatment. Although functional improvements were determined with VR combined RAGT approach, it was not superior to RAGT only treatment.

CLINICAL REHABILITATION IMPACT

The results of current study suggest the simultaneous use of VR as an adjunct therapy method to the functional training to obtain functional gains in ambulant patients with chronic stroke.

Comparison of knowledge on stroke for stroke patients and the general population in Burkina Faso: a cross-sectional study

Background

In many parts of Africa, there is limited information on awareness of symptoms of stroke, risk factors for stroke and willingness for stroke prevention, both in the general population and in people with stroke. Knowledge and preventive efforts for stroke in patients with a history of the illness are rarely investigated. This study aims to investigate awareness of stroke symptoms in stroke patients who were admitted to hospitals within 72 hours of a confirmed stroke event in Burkina Faso. This study also aims to investigate preventive behavior for stroke for the general population.

Methods

Face-to-face interviews were conducted with the participants. The sample included 110 first-time stroke patients who had been admitted to one of three tertiary teaching hospitals in Burkina Faso within 72 hours and 750 participants from the general population, who were recruited through clustered sampling. Knowledge of stroke warning signs and current and future efforts on stroke prevention were also assessed.

Results

Only 30.9% of the stroke patients believed that they were at risk before the stroke episode. Obvious warning signs were unfamiliar to both groups. Only 1.3% of the respondents from the general population group knew sudden weakness face arm or leg as a sign of stroke. For all future efforts in stroke prevention, stroke patients demonstrated significantly lower willingness to undertake behavioral changes than the general population. Sixty-six percent and 85% of the stroke patients and the general population, respectively, were willing to take steps to reduce blood pressure.

Conclusion

Public education on stroke warning signs and strategies to increase willingness to engage in preventive behaviors are urgent in African countries. Strategies to improve public awareness for developing countries such as Burkina Faso should be designed differently from that of developed countries to incorporate local beliefs.

Assessment of Aspiration Risk Using the Mann Assessment of Swallowing Ability in Brain-Injured Patients With Cognitive Impairment

Objectives: The purposes of this study are to determine whether there is a correlation between the Mann Assessment of Swallowing Ability (MASA) and modified MASA (mMASA) according to various cognitive status and to investigate whether the cognitive status of patients with brain damage affects the prediction of aspiration using the MASA.

Methods: We retrospectively assessed 146 dysphagic patients with brain lesion due to various causes. Dysphagia was assessed using the MASA and mMASA. According to the videofluoroscopic swallowing study results, patients were divided into two groups: aspirators and non-aspirators. Patients were classified into four groups according to cognitive function according to the Korean version of Mini-mental State Examination scores: normal (>24), mild (21–24), moderate (10–20), and severe (<10) cognitive impairment. The correlation between the MASA and mMASA scores according to cognitive function were analyzed. The sensitivity, specificity, and positive and negative predictive values of the MASA scores for predicting aspiration were assessed.

Results: The MASA and mMASA scores showed a significant positive correlation in all cognition groups. In patients with more severe cognitive impairment MASA scores had high sensitivity and low specificity for prediction of aspiration. On the other hand, the MASA scores had low sensitivity and high specificity for prediction of aspiration in the normal and mild cognitive impairment groups.

Conclusions: The MASA and mMASA scores correlated with each other in patients with various levels of cognitive function. Interestingly, this study results demonstrated that patients with good cognitive function may have false negative results of MASA screening due to low sensitivity. Thus, when interpreting the MASA results, the impact of cognitive status should be taken into consideration.

Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation

OBJECTIVES

Prediction of activities of daily living (ADL) is crucial for optimized care of post-stroke patients. However, no suitably-validated and practical models are currently available in clinical practice.

METHODS

Participants of a Post-acute Care-Cerebrovascular Diseases (PAC-CVD) program from a reference hospital in Taiwan between 2014 and 2016 were enrolled in this study. Based on 15 rehabilitation assessments, machine learning (ML) methods, namely logistic regression (LR), support vector machine (SVM), and random forest (RF), were used to predict the Barthel index (BI) status at discharge. Furthermore, SVM and linear regression were used to predict the actual BI scores at discharge.

RESULTS

A total of 313 individuals (men: 208; women: 105) were enrolled in the study. All the classification models outperformed single assessments in predicting the BI statuses of the patients at discharge. The performance of the LR and RF algorithms was higher (area under ROC curve (AUC): 0.79) than that of SVM algorithm (AUC: 0.77). In addition, the mean absolute errors of both SVM and linear regression models in predicting the actual BI score at discharge were 9.86 and 9.95, respectively.

CONCLUSIONS

The proposed ML-based method provides a promising and practical computer-assisted decision making tool for predicting ADL in clinical practice.

A Cross-sectional Survey and Cross-sectional Clinical Trial to Determine the Prevalence and Management of Eye Movement Disorders and Vestibular Dysfunction in Post-Stroke Patients in the Sub-Acute Phase: Protocol

Introduction

Visual impairment, specifically eye movement disorders and vestibular dysfunction may have a negative influence on the functional recovery in post-stroke patients. This type of sensory dysfunction may further be associated with poor functional outcome in patients’ post-stroke.

Methods

In phase 1, a cross-sectional survey (n = 100) will be conducted to determine the prevalence of eye movement disorders and vestibular dysfunction in patients who sustained a stroke. A cross-sectional clinical trial (n = 60) will be conducted during phase 2 of the study to determine the effect of the combination of vestibular rehabilitation therapy (VRT) and visual scanning exercises (VSE) (experimental group) integrated with task-specific activities compared with the effect of task-specific activities as an intervention (control group) on patients who present with eye movement impairment and central vestibular dysfunction post-stroke. An audiologist will assess (a) visual acuity (static and dynamic), (b) nystagmus, (c) saccadic eye movements, (d) smooth pursuit eye movements, (e) vestibulo-ocular reflex, and (f) saccular, utricular, and vestibular nerve function. An independent physiotherapist will assess (1) cognitive function, (2) residual oculomotor visual performance, (3) visual–perceptual system, (4) functional balance, (5) gait, (6) functional ability, (7) presence of anxiety and/or depression, and (8) level of participation in physical activity.

Ethics and dissemination

Ethics approval has been obtained from the Ethics Committee of the Faculty of Health Sciences at the University of Pretoria (UP) (374/2015). The study will be submitted as fulfillment for the PhD degree at UP. Dissemination will include submission to peer-reviewed professional journals and presentation at congresses. Training of rehabilitation team members on the integration of VSE and VRT into task-specific activities in rehabilitation will be done if the outcome of the experimental group’s functional performance is clinically and statistically significantly better than the control group on the Barthel Index.

Trial Registration

Pan African Clinical Trials Registry (PACTR201509001223262).

Contracture preventive positioning of the hemiplegic arm in subacute stroke patients: a pilot randomized controlled trial

Objective: To investigate the effectiveness of a contracture preventive positioning procedure for the hemiplegic arm in subacute stroke patients in addition to conventional physio and occupational therapy.

Design: A single-blind pilot randomized controlled trial.

Setting: Inpatient neurological units from three rehabilitation centres in the Netherlands.

Subjects: Nineteen subacute stroke patients (minus two drop-outs) with a severe motor deficit of the arm.

Interventions: All subjects underwent conventional rehabilitation care. Nine subjects additionally received a positioning procedure for two 30-min sessions a day, five days a week, for five weeks.

Main measures: Passive range of motion of five arm movements using a hydrogoniometer and resistance to passive movement at the elbow using the Ashworth Scale. Secondary outcome measures were pain at the end range of passive motions, the arm section of the Fugl-Meyer Assessment and Barthel Index scores for ADL-independence. Outcome measures were taken after five weeks and additional measurements after 10 weeks by two assessors blinded to group allocation.

Results: Comparison of the experimental ( n = 9) with the control subjects ( n = 8) after five weeks showed that additional positioning significantly slowed down development of shoulder abduction contracture ( P = 0.042, −5.3 degrees versus −23 degrees). No other differences were found between the groups.

Conclusions: Applying a contracture preventive positioning procedure for the hemiplegic arm slowed down the development of shoulder abduction contracture. Positioning did not show significant additional value on other outcome measures. Since the sample size was small, results of this study need future verification.

Physiotherapists have accurate expectations of their patients' future health-related quality of life after first assessment in a subacute rehabilitation setting

Background. Expectations held by health professionals and their patients are likely to affect treatment choices in subacute inpatient rehabilitation settings for older adults. There is a scarcity of empirical evidence evaluating whether health professionals expectations of the quality of their patients' future health states are accurate. Methods. A prospective longitudinal cohort investigation was implemented to examine agreement (kappa coefficients, exact agreement, limits-of-agreement, and intraclass-correlation coefficients) between physiotherapists' (n = 23) prediction of patients' discharge health-related quality of life (reported on the EQ-5D-3L) and the actual health-related quality of life self-reported by patients (n = 272) at their discharge assessment (using the EQ-5D-3L). The mini-mental state examination was used as an indicator of patients' cognitive ability. Results. Overall, 232 (85%) patients had all assessment data completed and were included in analysis. Kappa coefficients (exact agreement) ranged between 0.37–0.57 (58%–83%) across EQ-5D-3L domains in the lower cognition group and 0.53–0.68 (81%–85%) in the better cognition group. Conclusions. Physiotherapists in this subacute rehabilitation setting predicted their patients' discharge health-related quality of life with substantial accuracy. Physiotherapists are likely able to provide their patients with sound information regarding potential recovery and health-related quality of life on discharge. The prediction accuracy was higher among patients with better cognition than patients with poorer cognition.

Questionnaire assessment of usual practice in mood and cognitive assessment in Scottish stroke units

Purpose

National and International guidelines recommend cognition and mood assessment for all stroke survivors. However, there is no consensus on preferred screening tool or method of assessment. We aimed to describe clinical practice in cognitive and mood assessment across Scottish stroke services.

Method

We used a questionnaire based survey. After local piloting, we distributed the questionnaire using mixed methodologies (online and paper) across all Stroke Managed Clinical Networks in Scotland. We also distributed the questionnaire to specialist societies representing stroke physicians, nurses and allied health professionals and through the UK Stroke Forum delegate pack.

Results

We received 174 responses from nurses, physiotherapists, psychologists, occupational therapists and medical staff. Medical staff made up the largest group of respondents (61, 35%). Of the respondents 148 (85%) routinely assess cognition and 119 (72%) mood. A variety of tools were used (cognitive n = 45 tools; mood n = 17); Mini Mental State Examination (n = 103, 59% of respondents) and the Hospital Anxiety and Depression Scale (n = 76, 44%) were the most commonly employed tools.

Conclusion

Response rate was modest but included all mainland Scottish regions with active stroke services. Although the majority of responders are assessing cognition and mood there is substantial heterogeneity in measures used and certain commonly used tools are not validated or appropriate for use in stroke. We suggest development of evidence based, standardised assessment protocols.

Implications for Rehabilitation

Association of clinical and aetiologic subtype of acute ischaemic stroke with inflammation, oxidative stress and vascular function: a cross-sectional observational study

Background

The role of inflammation, vascular dysfunction and oxidative stress in the pathophysiology of different stroke subtypes is not well understood. We aimed to determine if the clinical and aetiologic subtype of acute ischaemic stroke influences systemic markers of vascular function, inflammation and oxidative stress.

Material/Methods

129 men and women were recruited within 10 days of acute ischaemic stroke or TIA at two tertiary hospitals in this cross-sectional observational study. Stroke severity (NIHSS score and S100B concentration); systemic markers of inflammation (high sensitivity C-reactive protein [hs-CRP] and fibrinogen), endothelial activation (E-selectin), endothelial cell damage (von Willebrand factor activity), and oxidative stress (F₂-isoprostanes) were measured.

Results

Hs-CRP concentrations were higher in total anterior (22.0±24.1 mg/L) than partial anterior circulation (15.3±32.4 mg/L) and lacunar (4.9±4.3 mg/L) syndromes (p=0.01). Hs-CRP concentrations correlated moderately with NIHSS score (r=0.45, p<0.01) and S100B (r=0.48, p<0.01). However aetiologic and clinical subtypes were not independently associated with hs-CRP when included with stroke severity in general linear models.

Conclusions

These data suggest that stroke aetiology and clinical syndrome may not be important independent determinants of the degree of systemic inflammation, oxidative stress or endothelial function in acute ischaemic stroke. Other factors, including stroke severity, pre-morbid inflammation and co-morbidity may explain variations among groups of participants with different subtypes of acute ischaemic stroke.

Mood and Balance are Associated with Free-Living Physical Activity of People after Stroke Residing in the community

Purpose. To determine which characteristics are most associated with free-living physical activity in community-dwelling ambulatory people after stroke. Method. Factors (age, gender, side of stroke, time since stroke, BMI, and spouse), sensory-motor impairments (weakness, contracture, spasticity, coordination, proprioception, and balance), and non-sensory-motor impairments (cognition, language, perception, mood, and confidence) were collected on 42 people with chronic stroke. Free-living physical activity was measured using an activity monitor and reported as time on feet and activity counts. Results. Univariate analysis showed that balance and mood were correlated with time on feet (r = 0.42, 0.43, P < 0.01) and also with activity counts (r = 0.52, 0.54, P < 0.01). Stepwise multiple regression showed that mood and balance accounted for 25% of the variance in time on feet and 40% of the variance in activity counts. Conclusions. Mood and balance are associated with free-living physical activity in ambulatory people after stroke residing in the community.

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 24 months after stroke. The MMSE score 1 month 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 1 month 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.

The hemiplegic arm: Interrater reliability and concurrent validity of passive range of motion measurements

PURPOSE

To assess whether our measurement protocol using two raters simultaneously yielded reliable passive range of motion measurements of the hemiplegic arm. Additionally, motion ranges were correlated to several factors to examine the concurrent validity of these measurements.

METHOD

Two raters simultaneously assessed five arm motions at baseline, after five and ten weeks in respectively 18, 13 and 12 stroke patients. One tester made the passive movement and the other read the hydrogoniometer. Raters then switched roles.

RESULTS

Intraclass correlation coefficients revealed high agreement between the raters with intraclass correlation coefficients (ICCs) ranging between 0.84 and 0.99. Standard errors of measurement and smallest detectable differences were large for shoulder abduction. Significant correlations were found between shoulder external rotation and flexion. All arm motions correlated negatively to pain at the end range of these motions. Shoulder external rotation and flexion were significantly correlated to the time post stroke. Concurrent validity with Ashworth Scale, Fugl-Meyer Assessment and Barthel Index was limited.

CONCLUSIONS

The current measurement protocol yielded high reliability indices and seems useful for further use. However, standard error of measurement and smallest detectable difference for shoulder abduction were high, implying the necessity to include a large sample size in future studies. Correlations revealed that restricted range of arm motions relate to the time post-stroke and coincide with pain.

A review of screening tests for cognitive impairment

The merit of screening for dementia and cognitive impairment has been the subject of recent debate. One of the main limitations in this regard is the lack of robust evidence to support the many screening tests available. Although plentiful in number, few such instruments have been well validated in the populations for which they are intended to be used. In addition, it is likely that "one size does not fit all" in cognitive screening, leading to the development of many specialised tests for particular types of impairment. In this review, we sought to ascertain the number of screening tools currently available, and to examine the evidence for their validity in detecting different diagnoses in a variety of populations. A further consideration was whether each screen elicited indices of a range of cognitive, affective and functional domains or abilities, as such information is a valuable adjunct to simple cut-off scores. Thirty-nine screens were identified and discussed with reference to three purposes: brief assessment in the doctor's office; large scale community screening programmes; and identifying profiles of impairment across different cognitive, psychiatric and functional domains/abilities, to guide differential diagnosis and further assessment. A small number of screens rated highly for both validity and content. This review is intended to serve as an evaluative resource, to guide clinicians and researchers in choosing among the wide range of screens which are currently available.

Issues in selecting outcome measures to assess functional recovery after stroke

Most patients who survive a stroke experience some degree of physical recovery. Selecting the appropriate outcome measure to assess physical recovery is a difficult task, given the heterogeneity of stroke etiology, symptoms, severity, and even recovery itself. Despite these complexities, a number of strategies can facilitate the selection of functional outcome measures in stroke clinical trial research and practice. Clinical relevance in stroke outcome measures can be optimized by incorporating a framework of health and disability, such as the International Classification of Functioning, Disability, and Health (ICF). The ICF provides the conceptual basis for measurement and policy formulations for disability and health assessment. All outcome measures selected should also have sound psychometric properties. The essential psychometric properties are reliability, validity, responsiveness, sensibility, and established minimal clinically important difference. It is also important to establish the purpose of the measurement (discriminative, predictive, or evaluative) and to determine whether the purpose of the study is to evaluate the efficacy or effectiveness of an intervention. In addition, when selecting outcome measures and time of assessment, the natural history of stroke and stroke severity must be regarded. Finally, methods for acquiring data must also be considered. We present a comprehensive overview of the issues in selecting stroke outcome measures and characterize existing measures relative to these issues.