Rehabilitation of Cognitive Deficits Poststroke: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Is the difference real, is the difference relevant: the minimal detectable and clinically important changes in the Montreal Cognitive Assessment

Background and aims

The Montreal Cognitive Assessment (MoCA) is a widely used instrument for assessing cognitive function in stroke survivors. To interpret changes in MoCA scores accurately, it is crucial to consider the minimal detectable change (MDC) and minimal clinically important difference (MCID). The aim was to establish the MDC and MCID of the MoCA within 6 months after stroke.

Methods

This cohort study analysed data from the EFFECTS trial. The MoCA was administered at baseline and at 6-month follow-up. The MDC was calculated as the upper limit of the 95 % confidence interval of the standard error of the MoCA mean. The MCID was determined using anchor-based and distribution methods. The visual analogue recovery scale of the Stroke Impact Scale (SIS [primary anchor]) and Euro Quality of Life-5 Dimensions index (EQ-5D [confirmatory anchor]) were used as anchors. The distribution-based method, the Cohen benchmark effect size was chosen.

Results

In total, 1131 (mean age [SD], 71 [10.6] years) participants were included. The mean (SD) MoCA scores at admission and 6-month follow-up were 22 (5.2) and 25 (4.2), respectively. The MDC of the MoCA was 5.1 points. The anchor method yielded the MCIDs 2 and 1.6 points for SIS and EQ-5D, respectively. Using the distribution method, the MCID for the MoCA was 1 point.

Conclusions

Even a small change in MoCA scores can be important for stroke survivors; however, larger differences are required to ensure that any difference in MoCA values is a true change and is not related to the inherent variation in the test. Due to small sample sizes, the results of the anchor analysis need to be interpreted with caution.

Effects of Hand Motor Interventions on Cognitive Outcomes Post-stroke: A Systematic Review and Bayesian Network Meta-analysis

OBJECTIVE

To synthetize the evidence on the effects of hand rehabilitation (RHB) interventions on cognition post-stroke and compare their efficacy.

DATA SOURCES

PubMed, Embase, Cochrane, Scopus, Web of Science, and CINAHL were searched from inception to November 2022.

DATA SELECTION

Randomized controlled trials conducted in adults with stroke where the effects of hand motor interventions on any cognitive domains were assessed.

DATA EXTRACTION

Data were extracted by 2 independent reviewers. A Bayesian Network Meta-analysis (NMA) was applied for measures with enough studies and comparisons. Risk of bias was assessed with the Cochrane Risk of Bias tool.

DATA SYNTHESIS

Fifteen studies were included in qualitative synthesis, and 11 in NMA. Virtual reality (VR) (n=7), robot-assisted (n=5), or handgrip strength (n=3) training were the experimental interventions and conventional RHB (n=14) control intervention. Two separate NMA were performed with MoCA (n=480 participants) and MMSE (n=350 participants) as outcome measures. Both coincided that the most probable best interventions were robot-assisted and strength training, according to SUCRA and rankogram, followed by conventional RHB and VR training. No significant differences between any of the treatments were found in the MoCA network, but in the MMSE, robot-assisted and strength training were significantly better than conventional RHB and VR. No significant differences between robot-assisted and strength training were found nor between conventional RHB and VR.

CONCLUSIONS

Motor interventions can improve MoCA/MMSE scores post-stroke. Most probable best interventions were robot-assisted and strength training. Limited literature assessing domain-specific cognitive effects was found.

Prevalence of post-stroke cognitive impairment and associated risk factors in Chinese stroke survivors

BACKGROUND

Post-stroke cognitive impairment (PSCI) adversely affects survivors' recovery trajectory and overall health outcomes. This study aimed to investigate the prevalence of PCSI and its associated risk factors.

METHODS

A cross-sectional study was conducted with stroke survivors recruited from the neurology units of three hospitals in Yunnan, China. Measures included the Frenchay Aphasia Screening Test (FAST), Apathy Evaluation Scale (AES), Fatigue Severity Scale (FSS), Informant Questionnaire for Cognitive Decline in the Elderly (IQCODE), Montreal Cognitive Assessment (MoCA), and Charlson Comorbidity Index (CCI). Logistic regression analysis was carried out to identify risk factors significantly and independently associated with PSCI.

RESULTS

Of 389 stroke participants studied, 139 (36%) were found to have PSCI. Every 10-year increase in age [odds ratio (OR) =1.69, 95% confidence interval (CI): 1.27-2.24, p < 0.001], and 1-point increase in the AES (OR = 1.13, 95% CI: 1.07-1.18, p < 0.001) and FSS scores (OR = 1.06, 95% CI: 1.03-1.10, p < 0.001) were significantly associated with higher odds of PSCI. Conversely, a 1-point increase in the MoCA score (OR = 0.91, 95% CI: 0.87-0.95, p < 0.001) and having an undergraduate education (OR = 0.45, 95% CI: 0.24-0.84, p = 0.013) or postgraduate education (OR = 0.18, 95% CI: 0.06-0.50, p = 0.001) were associated with reduced odds of PSCI.

CONCLUSIONS

PSCI is prevalent in the Chinese population, with advanced age, lower education levels, lower MoCA scores, and higher fatigue and apathy scores identified as strong risk factors. It is recommended that psychological and cognitive assessment be routinely incorporated into post-stroke rehabilitation pathways to mitigate cognitive decline.

Delivery of Neuropsychological Interventions for Adult and Older Adult Clinical Populations: An Australian Expert Working Group Clinical Guidance Paper

Delivery of neuropsychological interventions addressing the cognitive, psychological, and behavioural consequences of brain conditions is increasingly recognised as an important, if not essential, skill set for clinical neuropsychologists. It has the potential to add substantial value and impact to our role across clinical settings. However, there are numerous approaches to neuropsychological intervention, requiring different sets of skills, and with varying levels of supporting evidence across different diagnostic groups. This clinical guidance paper provides an overview of considerations and recommendations to help guide selection, delivery, and implementation of neuropsychological interventions for adults and older adults. We aimed to provide a useful source of information and guidance for clinicians, health service managers, policy-makers, educators, and researchers regarding the value and impact of such interventions. Considerations and recommendations were developed by an expert working group of neuropsychologists in Australia, based on relevant evidence and consensus opinion in consultation with members of a national clinical neuropsychology body. While the considerations and recommendations sit within the Australian context, many have international relevance. We include (i) principles important for neuropsychological intervention delivery (e.g. being based on biopsychosocial case formulation and person-centred goals); (ii) a description of clinical competencies important for effective intervention delivery; (iii) a summary of relevant evidence in three key cohorts: acquired brain injury, psychiatric disorders, and older adults, focusing on interventions with sound evidence for improving activity and participation outcomes; (iv) an overview of considerations for sustainable implementation of neuropsychological interventions as 'core business'; and finally, (v) a call to action.

The Rehabilitation of Cognitive Impairment Following Stroke: A Commentary on a Systematic Review

Stroke is regarded as one of the leading causes of death and disability worldwide. Cognitive impairment occurs in nearly 60% of stroke survivors. Despite the high prevalence and significant impact on post-stroke functioning, there remains a lack of clarity regarding effective interventions to support rehabilitation of cognitive impairment. This article critically appraises a systematic review which assessed the effectiveness of interventions to improve clinical outcomes associated with cognition for adults, post-onset of stroke.

Commentary on O'Donoghue M, Leahy S, Boland P, Galvin R, McManus J, Hayes S. Rehabilitation of cognitive deficits poststroke: systematic review and meta-analysis of randomized controlled trials. Stroke. 2022;53(5):1700–1710. 10.1161/strokeaha.121.034218

Effect of very early supported discharge versus usual care on activi-ties of daily living ability after mild stroke: a randomized controlled trial

OBJECTIVE

To examine the ability to perform basic and instrumental activities of daily life after very early supported discharge vs usual discharge and referral routine during the first year after mild stroke.

DESIGN

A secondary analysis of data from the Gothenburg Very Early Supported Discharge randomized controlled trial.  Patients: A total of 104 patients (56% men; mean (standard deviation) age 75 (11) years) who had experienced a first stroke classified as mild.

METHODS

The primary outcome was the Activities of Daily Living Taxonomy score. Stroke Impact Scale (activities of daily living, and mobility) scores was a secondary measure. Patients were randomized to either very early supported discharge with 4 weeks of home rehabilitation provided by a multidisciplinary stroke team, or a control group discharged according to usual routine (referral to primary care when needed). Assessments were performed at discharge, 4 weeks post-discharge, and 3 and 12 months post-stroke.

RESULTS

Instrumental activities of the Activities of Daily Living Taxonomy scores (the lower the better) in the very early supported discharge and control groups were median 4 and 6 (p = 0.039) at 4 weeks post-discharge and 3 and 4.5 (p = 0.013 at 3 months post-stroke, respectively. Stroke Impact Scale (Mobility) median scores (the higher the better) in the very early supported discharge and control groups at 3 months were 97 and 86 (p = 0.040), respectively. There were no group differences in the 2 outcomes at 12 months post-stroke.

CONCLUSION

Compared with usual discharge routine, team-based rehabilitation during the first month at home is beneficial for instrumental activity in the subacute phase, in patients with mild stroke. One year post-stroke both groups show equal results.

Machine learning in the prediction of post-stroke cognitive impairment: a systematic review and meta-analysis

Objective

Cognitive impairment is a detrimental complication of stroke that compromises the quality of life of the patients and poses a huge burden on society. Due to the lack of effective early prediction tools in clinical practice, many researchers have introduced machine learning (ML) into the prediction of post-stroke cognitive impairment (PSCI). However, the mathematical models for ML are diverse, and their accuracy remains highly contentious. Therefore, this study aimed to examine the efficiency of ML in the prediction of PSCI.

Methods

Relevant articles were retrieved from Cochrane, Embase, PubMed, and Web of Science from the inception of each database to 5 December 2022. Study quality was evaluated by PROBAST, and c-index, sensitivity, specificity, and overall accuracy of the prediction models were meta-analyzed.

Results

A total of 21 articles involving 7,822 stroke patients (2,876 with PSCI) were included. The main modeling variables comprised age, gender, education level, stroke history, stroke severity, lesion volume, lesion site, stroke subtype, white matter hyperintensity (WMH), and vascular risk factors. The prediction models used were prediction nomograms constructed based on logistic regression. The pooled c-index, sensitivity, and specificity were 0.82 (95% CI 0.77-0.87), 0.77 (95% CI 0.72-0.80), and 0.80 (95% CI 0.71-0.86) in the training set, and 0.82 (95% CI 0.77-0.87), 0.82 (95% CI 0.70-0.90), and 0.80 (95% CI 0.68-0.82) in the validation set, respectively.

Conclusion

ML is a potential tool for predicting PSCI and may be used to develop simple clinical scoring scales for subsequent clinical use.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=383476.

Cognitive Recovery After Stroke: Memory

Memory impairment occurs in over a third of patients after symptomatic stroke. Memory deficits rarely occur in isolation but are an important component of the poststroke cognitive syndrome because of the strong relationship with the risk of poststroke dementia. In this review, we summarize available data on impairment of episodic memory, with a particular emphasis on the natural history of memory impairment after stroke and the factors influencing trajectory informed by an updated systematic review. We next discuss the pathophysiology of memory impairment and mechanisms of both decline and recovery of function. We then turn to the practical issue of measurement of memory deficits after stroke, emerging biomarkers, and therapeutic approaches. Our review identifies critical gaps, particularly in studies of the natural history that properly map the long-term trajectory of memory and the associations with factors that modulate prognosis. Few studies have used advanced neuroimaging and this, in conjunction with other biomarker approaches, has the potential to provide a much richer understanding of the mechanisms at play and promising therapeutic avenues.

Systematic review on post-stroke computerized cognitive training: Unveiling the impact of confounding factors

Background

Stroke is a highly incapacitating disease that can lead to disabilities due to cognitive impairment, physical, emotional, and social sequelae, and a decrease in the quality of life of those affected. Moreover, it has been suggested that cognitive reserve (patients' higher levels of education or having a skilled occupation), for instance, can promote faster cognitive recovery after a stroke. For this reason, this review aims to identify the cognitive, functional, and behavioral effects of computerized rehabilitation in patients aged 50 years or older who had a stroke, considering cognitive reserve proxies.

Methods

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis-PRISMA, and performed the search for peer-reviewed randomized controlled trials without a date restriction on CINAHL, LILACS, PubMed, Scopus, and Web of Science databases were chosen.

Results

We screened 780 papers and found 19 intervention studies, but only 4 met the inclusion criteria and shared data. These studies included computerized tools for motor and cognitive rehabilitation in the experimental groups. In all studies, computerized training was combined with other interventions, such as standard therapy, occupational therapy, and aerobic exercises. There were 104 participants affected by ischemic or hemorrhagic stroke, predominantly male (57.69%), and all with cognitive impairment.

Conclusion

Despite a limited number of studies, varied methods and insufficient information available, schooling as a CR proxy combined with high-intensity computerized cognitive training was key to mediating cognitive improvement. The systematic review also identified that the associated ischemic stroke and shorter time of onset for rehabilitation contribute to the cognitive evolution of patients. Findings do not support a greater benefit of computerized cognitive training compared to conventional cognitive therapies.

Systematic review registration

[https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=296193], identifier [CRD42022296193].

Rehabilitation interventions for cognitive deficits in stroke survivors: A systematic review of randomized controlled trials

Cognitive deficits are one of the most common impairments after stroke. It negatively affects physical and social functioning. Rehabilitation interventions for cognitive deficits post-stroke have taken less consideration. The present study aimed to provide an overview of the effects of various rehabilitation interventions on cognitive functions in patients with stroke. PUBMED, SCOPUS, PEDro, EMBASE, MEDLINE, and REHABDATA were searched for randomized controlled trials (RCTs) investigating the effects of rehabilitation interventions on cognitive domains poststroke until August 2021. The methodological quality of the selected studies was evaluated using the Cochrane Collaboration tool, and the effect sizes were calculated. Forty-four studies met the inclusion criteria. A total of 3561 individuals with stroke, 57.60% of whom were males. The mean age for all participants was 65.48 years. Eighteen RCTs were high, moderate (n = 17), and low methodological quality (n = 9). The results showed evidence for the beneficial effects of many rehabilitation interventions on cognition in individuals with stroke. Rehabilitation plays a crucial role in improving cognitive functions in stroke patients with mild cognitive deficits. Virtual reality (VR), computer-based cognitive rehabilitation (CBCR), and non-aerobic exercises may promote cognitive functions in patients with stroke.

The Use of the ICF Classification Sheet to Assess Cognitive-Behavioral Disorders and Verbal Communication in Patients after Ischemic and Hemorrhagic Stroke during Rehabilitation

Background: In patients after experiencing stroke, the cognitive-behavioral deficits and disorders of verbal communication limit the effectiveness of rehabilitation. The key is to diagnose them at an early stage of rehabilitation and to implement appropriate psychological and speech therapy. Objective: Identify differences in the frequency and effectiveness of cognitive-behavioral disorder therapy depending on the clinical type of stroke, assessed before and after rehabilitation treatment, and their presentation using the ICF (International Classification of Functioning, Disability, and Health) classification. Materials and Methods: The study was prospective and included the analysis of cognitive-behavioral and verbal communication disorders. The study consisted of 47 patients after intracerebral hemorrhage (ICH) and 47 patients after an ischemic stroke (IS) before the implementation of rehabilitation and after completing a 4-week rehabilitation. Results: In the group after ICH, psychological therapy significantly reduced the disturbances of consciousness and orientation (p < 0.001) and improved the speed of performing tasks in tests (p < 0.001). In patients after IS and ICH, memory and attention function improved significantly (p < 0.001). Moreover, in patients after ICH, language function deficits decreased significantly (p = 0.018). Mood disturbances were maintained in 17% of patients after ICH and 40% of patients after IS (p = 0.007). Speech therapy reduced speech articulation disorders and aphasia in 85% of patients after ICH (p = 0.001) and in 68% of patients after IS (p = 0.033). Conclusions: The frequency and type of cognitive-behavioral and verbal communication disorders vary depending on the history of ICH or IS. The ICF classification may be useful in assessing and analyzing cognitive-behavioral and verbal communication disorders, which may lead to the implementation of appropriate psychological and speech therapy at an early stage of rehabilitation and increase the effectiveness of the therapy.