Pre-stroke employment results in better patient-reported outcomes after minor stroke: Short title: Functional outcomes after minor stroke

Modified-Mindfulness-Based Stress Reduction as a Treatment for Cognitive Recovery in Patients with Minor Stroke: a Randomized Controlled Pilot Study

Background

Well-developed rehabilitation paradigms exist for post-stroke language and motor impairments. However, no such recovery program has been identified for commonly disabling cognitive deficits in patients following minor stroke. Mindfulness Based Stress Reduction (MBSR) is thought to engage the frontal lobes, improving concentration and attention, and therefore may be an effective option.

Methods

We prospectively enrolled a cohort of patients with subacute minor stroke and randomized them to either an 8-week online modified-MBSR course or online traditional Stroke Support Group (SSG). All patients underwent a battery of cognitive tests and measures of patient reported outcomes (PROs) pre- and post-intervention. ANOVA was used to compare changes in scores over time across both groups, as well as a third group of control patients having received neither intervention (n=128).

Results

A total of 30 patients were randomized (n=16 for m-MBSR; n=14 for SSG). The average age of the cohort was 65.9 years. Both groups scored similarly on assessments one-month post-stroke and demonstrated increased T-scores on cognitive tasks at the 3-month visit. However, the m-MBSR group showed moderately elevated levels of improvement, specifically in processing speed, executive, and global cognitive function. Level of engagement was not associated with better clinical scores, though was unexpectedly low for both groups.

Conclusions

m-MBSR appears to modestly improve frontal lobe activity and demonstrates some success in increasing cognitive performance. However, further studies are needed to determine if it is more efficacious in the chronic stage of recovery when more patients are able to fully engage and actively participate.

Handgrip Strength and Cognitive Recovery in Older Stroke Survivors: A Prospective Study

Background and Objectives: Handgrip strength (HGS) is an important indicator of overall physical capability and is linked to various health outcomes in older adults. Despite extensive research on the relationship between HGS and cognitive decline, longitudinal studies on poststroke cognitive changes in relation to HGS are scarce. This study aimed to observe whether HGS at discharge from acute stroke rehabilitation affects cognitive function 6-12 months after stroke onset and to compare cognitive outcomes between patients with normal and low HGS at discharge. Materials and Methods: This prospective cohort study was conducted in the Department of Rehabilitation Medicine at a tertiary care hospital. In agreement with the Asian Working Group for Sarcopenia 2019 criteria, low muscle strength was defined as an HGS of less than 28 kg for men and less than 18 kg for women, and participants were categorized into normal and low HGS groups. Neuropsychological evaluations were conducted before discharge (approximately one month after stroke onset) and between 6 and 12 months after stroke onset. Results: The low HGS group was older and had lower Montreal Cognitive Assessment scores. However, after adjusting for covariates, the linear mixed model analysis showed no significant differences between the groups in global cognition or specific cognitive domains, except for psychomotor speed during the subacute phase. Notable improvements in language ability were observed in both groups over time, while significant improvements in executive function were observed exclusively in the low HGS group. Conclusions: This longitudinal study is the first to explore the relationship between HGS and changes in cognitive function in older adults with stroke, providing insights into physical strength and cognitive recovery during stroke rehabilitation.

Neuroimaging correlates of post-stroke fatigue: A systematic review and meta-analysis

BACKGROUND

Fatigue is a common and disabling symptom following stroke, but its underlying mechanisms are unknown. Associations with a number of imaging features have been proposed.

AIMS

We aimed to assess whether neuroimaging parameters could better inform our understanding of possible causes of post-stroke fatigue (PSF) through systematic review and meta-analysis.

METHODS

Using a predefined protocol registered with PROSPERO (ID: CRD42022303168), we searched EMBASE, MEDLINE, PubMed, and PsycInfo for studies assessing PSF and computerized tomography (CT), magnetic resonance (MR), positron emission tomography (PET) imaging, or diffusion tensor imaging (DTI). We extracted neuroimaging parameters and narratively analyzed study results to assess any association with PSF. Where there were 3+ similar studies, we carried out a meta-analysis using inverse-variance random-effects model to estimate the total association of each neuroimaging parameter on PSF. The risk of bias was assessed using the Newcastle and Ottawa Scale.

RESULTS

We identified 46 studies (N = 6543); in many studies, associations with fatigue were secondary or subanalyses (28.3%). Imaging parameters were assessed across eight variables: lesion lateralization, lesion location, lesion volume, brain atrophy, infarct number, cerebral microbleeds, white matter hyperintensities (WMHs), and network measures. Most variables showed no conclusive evidence for any association with fatigue. Meta-analysis, where possible, showed no association of the following with PSF; left lesion lateralization (OR: 0.88, 95% CI (0.64, 1. 22) (p = 0.45)), infratentorial lesion location (OR: 1.83, 95% CI (0.63, 5.32) (p = 0.27)), and WMH (OR: 1.21, 95% CI (0.84, 1.75) (p = 0.29)). Many studies assessed lesion location with mixed findings; only one used voxel-symptom lesion-mapping (VSLM). Some small studies suggested an association between altered functional brain networks, namely frontal, fronto-striato-thalamic, and sensory processing networks, with PSF.

CONCLUSION

There was little evidence for the association between any neuroimaging parameters and PSF. Future studies should utilize advanced imaging techniques to fully understand the role of lesion location in PSF, while the role of altered brain networks in mediating PSF merits further research.

Altered directional functional connectivity underlies post-stroke cognitive recovery

Cortical ischaemic strokes result in cognitive deficits depending on the area of the affected brain. However, we have demonstrated that difficulties with attention and processing speed can occur even with small subcortical infarcts. Symptoms appear independent of lesion location, suggesting they arise from generalized disruption of cognitive networks. Longitudinal studies evaluating directional measures of functional connectivity in this population are lacking. We evaluated six patients with minor stroke exhibiting cognitive impairment 6-8 weeks post-infarct and four age-similar controls. Resting-state magnetoencephalography data were collected. Clinical and imaging evaluations of both groups were repeated 6- and 12 months later. Network Localized Granger Causality was used to determine differences in directional connectivity between groups and across visits, which were correlated with clinical performance. Directional connectivity patterns remained stable across visits for controls. After the stroke, inter-hemispheric connectivity between the frontoparietal cortex and the non-frontoparietal cortex significantly increased between visits 1 and 2, corresponding to uniform improvement in reaction times and cognitive scores. Initially, the majority of functional links originated from non-frontal areas contralateral to the lesion, connecting to ipsilesional brain regions. By visit 2, inter-hemispheric connections, directed from the ipsilesional to the contralesional cortex significantly increased. At visit 3, patients demonstrating continued favourable cognitive recovery showed less reliance on these inter-hemispheric connections. These changes were not observed in those without continued improvement. Our findings provide supporting evidence that the neural basis of early post-stroke cognitive dysfunction occurs at the network level, and continued recovery correlates with the evolution of inter-hemispheric connectivity.

Outcomes in Patients with Minor Stroke: Diagnosis and Management in the Post-thrombectomy Era

In the era of mechanical thrombectomy and better preventative strategies, a higher number of patients are being discharged home from the hospital with the so-called minor strokes. This has significantly changed the landscape of stroke recovery. Unfortunately, while symptoms may be categorized as mild compared to individuals with higher NIH Stroke Scale scores, the physical, cognitive, and emotional sequelae can be disabling and result in failure to return to work and poor quality of life in a population with significant potential to recover fully. In this review, we discuss the current state of minor stroke, the most common pattern of resulting deficits, what is known about the underlying pathophysiology that leads to a relatively global pattern of impaired cognition following an infarct in any location, and special considerations for treatment based on this population's unique needs. Raising awareness of the current morbidity associated with minor stroke, the need for a uniform definition that allows for comparisons of individuals across studies, and further research focused on this population to optimize outcomes, has the potential to significantly improve recovery.

Return to work and depressive symptoms in young stroke survivors after six and twelve months: cross-sectional and longitudinal analyses

BACKGROUND

While depression after stroke is common and stroke prevalence globally increases in working age populations, the role of return-to-work (RTW) in the pathogenesis of post-stroke depression (PSD) remains unclear. This study examined if RTW is linked to PSD within the first year after ischemic stroke, independently from established risk factors.

METHOD

Stroke survivors (n = 176) in their working age (<65 years) recruited from two rehabilitation clinics were assessed for established risk factors: pre-stroke depression, activities of daily living, stroke severity, cognitive impairment, and social support. RTW and depressive symptoms (Geriatric Depression Scale: GDS-15) were assessed six- and twelve-months post-stroke. Multivariate regression analyses were used to assess the cross-sectional and longitudinal relationship between RTW and GDS-15, while controlling for established PSD risk factors.

RESULTS

Successful RTW was independently associated with lower GDS-15 at both measurement occasions (p < .05), next to the absence of pre-stroke depression and higher social support. Stroke severity predicted GDS-15 at twelve months. The predictive value of six-months RTW for subsequent depressive symptoms beyond the influence of established risk factors was ß = -1.73 (p = .09).

DISCUSSION

RTW was independently associated with PSD in young stroke survivors within the first-year post-stroke, and exerted a (marginally significant) effect on subsequent depression. Our study highlights the relevance of RTW for young stroke survivors' PSD, beyond the influence of established risk factors. Further assessments examining to what extent fostering RTW contributes to mental well-being after stroke might be promising for PSD prevention, next to evident beneficial economic effects.

Nomogram including indirect bilirubin for the prediction of post-stroke depression at 3 months after mild acute ischemic stroke onset

Background

Post-stroke depression (PSD) has been proven to be associated with stroke severity. Thus, we hypothesized that the prevalence of PSD would be lower in patients with mild stroke. We aim to explore predictors of depression at 3 months after mild acute ischemic stroke (MAIS) onset and to develop a practical and convenient prediction model for the early identification of patients at high risk.

Methods

A total of 519 patients with MAIS were consecutively recruited from three hospitals in Wuhan city, Hubei province. MAIS was defined as a National Institute of Health Stroke Scale (NIHSS) score of ≤5 at admission. Meeting the DSM-V diagnostic criteria and a 17-item Hamilton Rating Scale for Depression (HAMD-17) score of >7 at their 3-month follow-up were considered the primary outcomes. A multivariable logistic regression model was used to determine the factors adjusted for potential confounders, and all independent predictors were brought into the construction of a nomogram to predict PSD.

Results

The prevalence of PSD is up to 32% at 3 months after MAIS onset. After adjusting for potential confounders, indirect bilirubin (p = 0.029), physical activity (p = 0.001), smoking (p = 0.025), hospitalization days (p = 0.014), neuroticism (p < 0.001), and MMSE (p < 0.001) remained independently and significantly related with PSD. The concordance index (C-index) of the nomogram jointly constructed by the aforementioned six factors was 0.723 (95% CI: 0.678-0.768).

Conclusion

The prevalence of PSD seems equally high even if the ischemic stroke is mild, which calls for great concern from clinicians. In addition, our study found that a higher level of indirect bilirubin can lower the risk of PSD. This finding may provide a potential new approach to PSD treatment. Furthermore, the nomogram including bilirubin is convenient and practical to predict PSD after MAIS onset.

Baseline Function and Rehabilitation Are as Important as Stroke Severity as Long-term Predictors of Cognitive Performance Post-stroke

OBJECTIVE

Although individuals with low stroke severity tend to recover well, cognitive impairment is common independent of stroke size or location. In this study, the patterns of recovery for individual cognitive domains and factors associated with outcome were examined.

DESIGN

A prospectively enrolled cohort of patients with minor stroke was administered cognitive testing at 1, 6, and 12 mos postinfarct. Composite T scores were generated for global cognition and well as independent cognitive domains at each time point. Paired t tests compared changes in scores over time. Regression models identified factors associated with improvement.

RESULTS

A total of 46 patients, with an average NIH Stroke Scale score of 2.7, were enrolled. Average age was 61.3 yrs. Patients improved overall between 1 and 6 mos; however, distinct patterns of recovery were seen for different cognitive domains. The most significant improvement was in spatial memory. Verbal memory scores remained low longitudinally. Motor speed and executive function increased, then plateaued. Despite a mean education of 13.6 yrs, only 36% of global cognition scores were higher than or equal to the normative mean at 12 mos, and only 57% of patients improved their global scores from 6 to 12 mos. Late recovery was associated with lower NIH Stroke Scale scores, higher 1-mo Montreal Cognitive Assessment scores, and rehabilitation. Baseline function predicted overall long-term recovery.

CONCLUSION

Patterns of recovery are distinct for individual cognitive domains for patients with minor stroke. Stroke severity and rehabilitation influence trajectory. Premorbid baseline predicts long-term outcome.

The structure, processes, and outcomes of stroke rehabilitation in Ghana: A study protocol

Background

Conventional and complementary treatments are often used in rehabilitation for persons with stroke. The conventional treatment makes use of medications, physiotherapy, occupational, speech, and diet therapies, while the complementary treatment makes use of homeopathy, naturopathy, massage, and acupuncture. The structure, process, and outcomes of stroke rehabilitation using conventional or complementary treatments have not been empirically investigated in Ghana.

Aims

This study aims to investigate the structure, process, and outcomes of stroke rehabilitation at the Korle Bu Teaching Hospital (KBTH) in Accra and Kwayisi Christian Herbal Clinic (KCHC) in Nankese-Ayisaa, Ghana, and to explore the experiences of persons with stroke.

Methods

This study involves a mixed methods approach. This study will utilize three study designs, namely, cross-sectional, hospital-based cohort, and qualitative exploratory study designs. The objectives of the study will be achieved using three phases, namely, phase one will recruit health professionals and gather information on the structure and process of stroke rehabilitation at a conventional and complementary hospital using adapted questionnaires; phase two will determine the outcomes of stroke patients attending a conventional and complementary hospital facility at baseline, 2-, 3-, and 6-month follow-up using outcome measures based on the International Classification of Functioning, Disability and Health (ICF) model; and phase three will explore the experiences of stroke patients who use complementary or conventional treatment using an interview guide.

Data analysis

IBM SPSS Statistics Version 27 will be used to analyze the data using descriptive and inferential statistics. Repeated measures of ANOVA will be used to determine the differences between variables at baseline, 2-, 3-, and 6-month post-stroke. The qualitative data will be transcribed and entered into Atlas Ti version 9.0. The data will be coded and analyzed using thematic areas that will be generated from the codes.

Conclusion

The study protocol will provide a comprehensive overview of the structure, process, and outcomes of stroke rehabilitation in Ghana, incorporating both conventional and complementary treatment and rehabilitation into the stroke recovery journey. It will also inform clinical practice, with new insights on the experiences of stroke patients based on their choice of rehabilitation pathway.

Prior employment status and obesity do not predict post-stroke fatigue

Aim: To investigate whether prior employment status or obesity pose as risk factors for post stroke fatigue in patients following an ischemic stroke. Materials & methods: A total of 121 patients with a confirmed diagnosis of ischemic stroke in the past 3 years were enrolled into the study. Post-stroke fatigue (PSF) was assessed using the fatigue assessment scale (no PSF ≤21, PSF 22–50). Patients were then identified based on their employment status (previously worked) or obesity (BMI) and compared with the presence of PSF. Results: A Fisher’s exact test was applied to determine the association between PSF and obesity (p = 1.000). A Fisher’s exact test was applied to show the association between PSF and employment status (p = 0.384). In logistic regression, employment status did not independently predict dichotomized fatigue assessment scale (adjusted odds ratio 1.34, 95% CI: 0.51–3.50, p = 0.557). Conclusion: Previous employment status and obesity did not independently predict PSF in an urban, minority community.

Multidomain cognitive dysfunction after minor stroke suggests generalized disruption of cognitive networks

OBJECTIVE

Although small strokes typically result in "good" functional outcomes, significant cognitive impairment can occur. This longitudinal study examined a cohort of patients with minor stroke to determine the pattern of deficits, evolution over time, and factors associated with outcome.

METHODS

Patients admitted to the hospital with their first clinical minor stroke (NIH Stroke Scale [NIHSS] ≤ 10, absence of severe hemiparesis, aphasia, or neglect) were assessed at 1 month post-infarct, and a subset were followed over time (with 6- and 12-month evaluations). Composite scores at each time point were generated for global cognition, verbal memory, spatial memory, motor speed, processing speed, and executive function. Paired t-tests evaluated change in scores over time. Regression models identified factors associated with initial performance and better recovery.

RESULTS

Eighty patients were enrolled, evaluated at 1 month, and prospectively followed. The average age of the participants was 62.3 years, and mean education was 13.5 years. The average stroke volume was 6.6 cc; mean NIHSS score was 2.8. At 1 month, cognitive scores were below the normative range and > 1 standard deviation below the patient's peak ("recovery") score for every cognitive domain, strongly suggesting that they were well below patients' prestroke baselines. Forty-eight patients followed up at 6 months, and 39 at 12 months. Nearly all (98%) patients significantly improved in global cognition (averaged across domains) between 1 and 6 months. Between 6 and 12 months, recovery was variable. Higher education, occupational class, and Caucasian race were associated with higher recovery scores for most domains.

CONCLUSIONS

Cognitive impairment across multiple domains is common following minor stroke regardless of infarct location, suggesting a global process such as network dysfunction that improves over 6 months. Degree of recovery can be predicted using baseline factors.

Socioeconomic status and lifestyle in young ischaemic stroke patients: a possible relationship to stroke recovery and risk of recurrent event

OBJECTIVES

Socioeconomic status (SES) and lifestyle have impact on recovery after ischaemic stroke (IS) and on risk of recurrent ischaemic stroke (RIS) in elderly patients. With regard to currently available limited data on young people, we aimed to assess SES and parameters of lifestyle and evaluate their relationship to stroke recovery and risk of RIS in young patients.

METHODS

We analysed consecutive young IS patients < 50 years enrolled in the prospective HISTORY (Heart and Ischaemic STrOke Relationship studY) study registered on ClinicalTrials.gov (NCT01541163). Data were acquired from structured a self-evaluating multiple-choice questionnaire. Clinical outcome was assessed using the Modified Rankin Scale (MRS) after 3 months with score 0-1 for excellent outcome.

RESULTS

Data were obtained from 297 (163 males, mean age 39.6 ± 7.8 years) young patients. Patients with MRS 0-1 (237, 79.8%) did not differ in SES except university education (21.1 vs. 3.3%; p = 0.001), less smoked (16.5 vs. 58.3%; p < 0.001), more of them did regular sport activities (79.1 vs. 51.6%; p = 0.02) and passed regular preventive medical checks (45.6 vs. 24.2%; p = 0.01). Twelve (4%) patients suffered from RIS during a follow-up with median of 25 months. They did not differ in SES but had higher body mass index (31.6 vs. 26.7; p = 0.007), reported less regular sport activities (16.7 vs. 73.0%; p < 0.001) and less regular medical checks (8.3 vs. 40.0%; p = 0.001).

CONCLUSION

In young patients, SES had no relationship to clinical outcome after IS and to risk of RIS except education level. Some parameters of health lifestyle were presented more in patients with excellent outcome and without RIS during the follow-up.

Delayed Lesions on Diffusion-Weighted Imaging in Initially Lesion-Negative Stroke Patients

Background and Purpose

Lesions on diffusion-weighted imaging (DWI) occasionally appear on follow-up magnetic resonance imaging (MRI) among initially DWI-negative but clinically suspicious stroke patients. We established the prevalence of positive conversion in DWI-negative stroke and determined the clinical factors associated with it.

Methods

This retrospective, observational, single-center study included 5,271 patients hospitalized due to stroke/transient ischemic attack (TIA) in a single university hospital during 2010 to 2017. Patients without initial DWI lesions underwent follow-up DWI imaging as a routine practice. Adjusted hazard ratios (aHRs) for recurrent stroke risk according to positive conversion were determined using Cox proportional hazard regression. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for positive conversion among initially DWI-negative patients were estimated.

Results

In total, 694 (13.2%) patients (mean±standard deviation age, 62.9±13.7 years; male, 404 [58.2%]) were initially DWI-negative. Among them, 22.5% had positive-conversion on follow-up DWI. Positive conversion was associated with a higher risk of recurrent stroke (aHR, 3.12; 95% CI, 1.56 to 6.26). Early neurologic deterioration (aOR, 15.1; 95% CI, 5.71 to 47.66), atrial fibrillation (aOR, 6.17; 95% CI, 3.23 to 12.01), smoking (aOR, 3.76; 95% CI, 2.19 to 6.63), pre-stroke dependency (aOR, 1.62; 95% CI, 1.15 to 2.27), objective hemiparesis (aOR, 4.39; 95% CI, 1.90 to 10.32), longer symptom duration (aOR, 2.17; 95% CI, 1.57 to 3.08), high cholesterol (aOR, 4.70; 95% CI, 1.78 to 12.77), National Institutes of Health Stroke Scale score (aOR, 1.44; 95% CI, 1.08 to 1.91), and high systolic blood pressure (aOR, 1.01; 95% CI, 1.00 to 1.02) were associated with a higher incidence of lesions with delayed appearance. Regarding the location of lesions on follow-up DWI, 34.6% and 21.2% were in the cortex and brainstem, respectively.

Conclusions

In DWI-negative stroke/TIA, positive conversion is associated with a higher risk of recurrent stroke. DWI-negative stroke with factors related to positive conversion may require follow-up MRI for a definitive diagnosis.

Poststroke acute dysexecutive syndrome, a disorder resulting from minor stroke due to disruption of network dynamics

Patients with small infarcts often demonstrate a poststroke acute dysexecutive syndrome resulting in failure to successfully re-integrate into society. The mechanism is poorly understood given that lesions are small and do not typically involve areas classically associated with cognitive decline. This knowledge gap makes designing treatment strategies difficult. We used MEG to evaluate changes in cerebral processing in individuals with small strokes. MEG showed a decrease in the amplitude of activation and temporal dispersion of activation peaks in areas responsible for visual word processing, along with an inability to modulate activity in response to task difficulty. These changes suggest disruption of network dynamics resulting in inefficient processing. Functional connectivity studies to isolate affected networks are the critical next step.

Stroke patients with small central nervous system infarcts often demonstrate an acute dysexecutive syndrome characterized by difficulty with attention, concentration, and processing speed, independent of lesion size or location. We use magnetoencephalography (MEG) to show that disruption of network dynamics may be responsible. Nine patients with recent minor strokes and eight age-similar controls underwent cognitive screening using the Montreal cognitive assessment (MoCA) and MEG to evaluate differences in cerebral activation patterns. During MEG, subjects participated in a visual picture–word matching task. Task complexity was increased as testing progressed. Cluster-based permutation tests determined differences in activation patterns within the visual cortex, fusiform gyrus, and lateral temporal lobe. At visit 1, MoCA scores were significantly lower for patients than controls (median [interquartile range] = 26.0 [4] versus 29.5 [3], P = 0.005), and patient reaction times were increased. The amplitude of activation was significantly lower after infarct and demonstrated a pattern of temporal dispersion independent of stroke location. Differences were prominent in the fusiform gyrus and lateral temporal lobe. The pattern suggests that distributed network dysfunction may be responsible. Additionally, controls were able to modulate their cerebral activity based on task difficulty. In contrast, stroke patients exhibited the same low-amplitude response to all stimuli. Group differences remained, to a lesser degree, 6 mo later; while MoCA scores and reaction times improved for patients. This study suggests that function is a globally distributed property beyond area-specific functionality and illustrates the need for longer-term follow-up studies to determine whether abnormal activation patterns ultimately resolve or another mechanism underlies continued recovery.

Predictors and short-term outcomes of post-stroke fatigue in initial phase of transition from hospital to home: A prospective observational study

AIM

To analyse the interactions of associated factors with post stroke fatigue (PSF) after discharge home and determine the predictors of PSF and their impact on stroke survivors.

DESIGN

A prospective observational study.

METHODS

A total of 94 patients with acute stroke were recruited between May 2019 -July 2020. The main outcomes were fatigue, depression, insomnia, sarcopenia, and health-related quality of life (HRQOL) and were assessed at admission and 1 month after discharge. Fatigue was measured using the Fatigue Assessment Scale. Depression and Insomnia were assessed using the Hospital Anxiety and Depression Scale-Depression and Insomnia Severity Index, respectively. Sarcopenia was measured using the SARC-F questionnaire, and HRQOL was assessed using the Short Form-8.

RESULTS

Acute phase PSF was an independent predictor of PSF after discharge home. Moreover the path analysis revealed that this effect is mediated through both the direct effect of acute-phase PSF on PSF after discharge home and through the indirect effect of interaction with pre-stroke SARC-F, acute phase depression, and acute phase insomnia, which remains a separate predictor of acute-phase PSF. In total, 17% of the survivors had persistent PSF. Persistent PSF was significantly associated with depression, insomnia, sarcopenia, and a lower quality of life scores.

CONCLUSIONS

Post-stroke fatigue may occur in the acute phase and persists after discharge, it will not only affect later depression, insomnia, and quality of life, but also sarcopenia.

IMPACT

Acute phase PSF was found to be an independent predictor of PSF after discharge home. In addition, the interaction with pre-stroke SARC-F, acute phase depression and insomnia had an indirect connection with PSF after discharge home, which remains a separate predictor of acute-phase PSF. Thus, early assessment and management of mental status, sleep problems, and sarcopenia during hospitalization might be an important step in post-stroke rehabilitation and home transition.

Development and Internal Validation of a Nomogram to Predict Post-Stroke Fatigue After Discharge

OBJECTIVES

We aimed to develop and validate a nomogram for the individualized prediction of the risk of post-stroke fatigue (PSF) after discharge.

MATERIALS AND METHODS

Fatigue was measured using the Fatigue Assessment Scale. Multivariable logistic regression analysis was applied to build a prediction model incorporating the feature selected in the least absolute shrinkage and selection operator regression model. Discrimination, calibration, and clinical usefulness of the predictive model were assessed using the C-index, calibration plot, and decision curve analysis. Internal validation was conducted using bootstrapping validation. Finally, a web application was developed to facilitate the use of the nomogram.

RESULTS

We developed a nomogram based on 95 stroke patients. The predictors included in the nomogram were sex, pre-stroke sarcopenia, acute phase fatigue, dysphagia, and depression. The model displayed good discrimination, with a C-index of 0.801 (95% confidence interval: 0.700-0.902) and good calibration. A high C-index value of 0.762 could still be reached in the interval validation. Decision curve analysis showed that the risk of PSF after discharge was clinically useful when the intervention was decided at the PSF risk possibility threshold of 10% to 90%.

CONCLUSION

This nomogram could be conveniently used to provide an individual, visual, and precise prediction of the risk probability of PSF after being discharged home. Thus, as an aid in decision-making, physicians and other healthcare professionals can use this predictive method to provide early intervention or a discharge plan for stroke patients during the hospitalization period.

Cognitive Reserve as an Emerging Concept in Stroke Recovery

Stroke is a leading cause of death and disability. It is a complex and largely heterogeneous condition. Prognosis for variations in impairment and recovery following stroke continues to be challenging and inaccurate, highlighting the need to examine the influence of other currently unknown variables to better predict and understand interindividual differences in stroke impairment and recovery. The concept of "cognitive reserve," a feature of brain function said to moderate the relationship between brain pathology and clinical outcomes, might provide a partial explanation. This review discusses the potential significance of cognitive reserve in the context of stroke, with reference to reduced burden of disability poststroke, health promotion, intervention and secondary prevention of cognitive impairment, ease and challenges of translation into clinical practice, prognosis and prediction of recovery, and clinical decisions and trial stratification. Discussions from the review aim to encourage stroke clinicians and researchers to better consider the role of premorbid, lifestyle-related variables, such as cognitive reserve, in facilitating successful neurological outcomes and recovery following stroke.

Chronic post-stroke fatigue: It may no longer be about the stroke itself

OBJECTIVE

Post-stroke fatigue (PSF) is a debilitating complication of stroke recovery. Contributing risk factors, whether they are modifiable, and if they change over time remain understudied. We determine factors associated with PSF and how they evolve from the subacute through chronic phases of recovery.

PATIENTS AND METHODS

A consecutive series of patients presenting to our comprehensive stroke center with acute stroke were seen in follow-up within 6 months of infarct and administered the Functional Assessment of Chronic Illness Therapy (FACIT) fatigue scale to evaluate for PSF. It was re-administered >6 months post-infarct. Demographics, stroke characteristics (NIH Stroke Scale [NIHSS], infarct size and location), medical comorbidities, and outcomes (modified Rankin Scale [mRS]) were also recorded. Regression analyses were used to determine factors associated with FACIT scores and PSF at each time point.

RESULTS

203 patients were administered the FACIT a mean 1.6 months post-stroke; 128 underwent re-administration (mean 13.9 months post-event). In adjusted models, stroke severity (follow-up NIHSS [p < 0.001], mRS [p = 0.005]) and posterior circulation localization (p = 0.012) were associated with lower FACIT scores (increased fatigue) in the subacute setting, while medical comorbidities (hypertension [p = 0.024], obstructive sleep apnea [p = 0.020]) and medication use (anticonvulsants [p = 0.021]) were associated with lower scores chronically. Baseline depression (p < 0.001, p = 0.029) was associated with lower scores at both time points.

CONCLUSION

Early PSF appears to be largely attributable to stroke severity, while chronic fatigue occurs in the setting of medical comorbidities and medication use. This has significant clinical implications when considering management strategies at different stages of recovery.