Economic burden of stroke: a systematic review on post-stroke care

Comparison of the efficacy of different protocols of repetitive transcranial magnetic stimulation and transcranial direct current stimulation on motor function, activities of daily living, and neurological function in patients with early stroke: a systematic review and network meta-analysis

BACKGROUND

The application of transcranial direct current stimulation (tDCS) and repetitive transcranial magnetic stimulation (rTMS) in patients with early stroke has recently received considerable attention, but the optimal protocol remains inconclusive. This study intends to evaluate and compare the effects of different protocols of tDCS and rTMS on improving motor function, activities of daily living (ADL), and neurological function in patients with early stroke, and to comprehensively assess their efficacy and safety.

METHODS

MEDLINE, Embase, Cochrane Library, and Web of Science were searched. Risk of bias (RoB) was assessed using the Cochrane Risk of Bias 2.0 tool, and Bayesian NMA was conducted using R4.3.1 and Stata16.

RESULTS

The results of NMA showed that after early intervention, bilateral application of high- and low-frequency rTMS (BL-rTMS) performed best in improving the upper extremity motor function at the end of intervention (SUCRA: 92.8%) and 3 months (SUCRA: 95.4%). Besides, low-frequency rTMS (LF-rTMS) performed best in improving the lower extremity motor function (SUCRA: 67.7%). BL-rTMS was the most effective in ameliorating the ADL at the end of intervention (SUCRA: 100%) and 3 months (SUCRA: 85.6%). In terms of the NIHSS scores, BL-rTMS had the highest probability of being the most effective measure at the end of intervention (SUCRA: 99.7%) and 3 months (SUCRA: 97.05%). Besides, LF-rTMS (0%), 5 Hz-rTMS (0%), and intermittent theta-burst stimulation (iTBS) (0%) all exhibited a good safety profile.

CONCLUSION

BL-rTMS is the optimal stimulation protocol for improving upper extremity motor function, ADL, and neurological function in early stroke, with long-term efficacy.

Acute stroke care coordination in the United States: Variation in state laws for Emergency Medical Services and hospitals

BACKGROUND

Lack of care coordination between Emergency Medical Services (EMS) and hospitals contributes to delay of acute stroke (AS) treatment. In the United States, states have adopted laws to improve the quality of EMS and hospital care; the degree to which these laws create regulatory incentives to promote care coordination between them is less well known. We examined state variation in attributes of laws that may influence AS care coordination between EMS and hospitals.

MATERIALS AND METHODS

We selected ten law "dyads" across seven domains of EMS and hospital AS care informed by published risk assessments of critical steps for improved door-to-needle time and door-in-door-out time. We assessed concordance in prescriptiveness (degree to which levels were similar) and in adoption (degree to which laws were adopted concurrently) of the laws in effect between January 2002 and January 2018 in the United States.

RESULTS

The proportion of states with prescriptiveness concordance ranged from 47 % (e.g., inter-facility transfer agreements, comprehensive, primary stroke center certification) to 75 % (e.g., Continuous Quality Improvement (CQI) for EMS and hospitals). Adoption concordance ranged from 31 % (e.g., inter-facility transfer agreements, Acute Stroke Ready Hospital certification) to 86 % (e.g., CQI for EMS and hospitals). Laws for EMS triage were less prescriptive than laws for stroke center certification in 22 %-35 % of states adopting both laws, depending on stroke center type.

CONCLUSIONS

Subsequent policy implementation and impact studies may benefit from assessing concordance and prescriptiveness in policy intervention adoption, particularly as a foundation for evaluating delays in AS treatment due to inefficient care coordination.

Electroacupuncture promotes neural function recovery by alleviating mitochondria damage in cerebral ischemia mice

AIMS

This study aimed to observe the effect of electroacupuncture (EA) at Zusanli point (ST36) on motor function of cerebral ischemia mice, and to observe the effect of EA on mitochondrial morphology of peri-infarct cortex neurons in cerebral ischemia mice.

METHODS

Middle cerebral artery occlusion (MCAO) was used to develop an ischemic stroke mice model. EA treatment was performed for three consecutive days for 15 min per day after MCAO modeling. We investigated the therapeutic effects of EA on MCAO mice by performing neurobehavioral assessment (modified Neurological Severity Score, Rotarod test, Open-field test and Gait analysis) and TTC staining. The morphology and function of neuronal mitochondria were evaluated by transmission electron microscopy, qRT-PCR, chemiluminescence, and western blot. Nissl staining, TUNEL staining and immunofluorescence staining were used to observe neuronal morphology and apoptosis. Furthermore, ELISA was employed to measure the expression levels of inflammatory factors in mouse serum.

RESULTS

EA alleviated motor dysfunction and infarct volume in mice with cerebral ischemia. It improved the neuronal mitochondria damage in MCAO mice, and decreased the protein and mRNA expression level of mitochondrial fission related proteins (FIS1 and Drp1). In addition, EA can reduce neuronal damage and apoptosis of nerve cells, and decrease the level of inflammatory factors (IL-1β, TNF-α, IL-6 and IL-8) in cerebral ischemia mice.

CONCLUSION

EA therapy can improve motor dysfunction and alleviate the damage of neuron mitochondria in cerebral ischemic mice.

Automated extraction of post-stroke functional outcomes from unstructured electronic health records

PURPOSE

Population level tracking of post-stroke functional outcomes is critical to guide interventions that reduce the burden of stroke-related disability. However, functional outcomes are often missing or documented in unstructured notes. We developed a natural language processing (NLP) model that reads electronic health records (EHR) notes to automatically determine the modified Rankin Scale (mRS).

METHOD

We included consecutive patients (⩾18 years) with acute stroke admitted to our center (2015-2024). mRS scores were obtained from the Get With the Guidelines registry and clinical notes (if documented), and used as the gold standard to compare against NLP-generated scores. We used text-based features from notes, along with age, sex, discharge status, and outpatient follow-up to train a logistic regression for prediction of good (0-2) versus poor (3-6) mRS, and a linear regression for the full range of mRS scores. The models were trained for prediction of mRS at hospital discharge and post-discharge. The models were externally validated in a dataset of patients with brain injuries from a different healthcare center.

FINDINGS

We included 5307 patients, 5006 in train and test and 301 in validation; average age was 69 (SD 15) and 65 (SD 17) years, respectively; 47% female. The logistic regression achieved an area under the receiver operating curve (AUROC) of 0.94 [CI 0.93-0.95] (test) and 0.94 [0.91-0.96] (validation), and the linear model a root mean squared error (RMSE) of 0.91 [0.87-0.94] (test) and 1.17 [1.06-1.28] (validation).

DISCUSSION AND CONCLUSION

The NLP-based model is suitable for use in large-scale phenotyping of stroke functional outcomes and population health research.

Larger Perfusion Mismatch Volume Is Associated With Longer Hospital Length of Stay in Medium Vessel Occlusion Stroke

BACKGROUND AND PURPOSE

Prolonged length of stay (LOS) following a stroke is associated with unfavorable clinical outcomes. Factors predicting LOS in medium vessel occlusion (MeVO), impacting up to 40% of acute ischemic stroke (AIS) cases, remain underexplored. This study aims to investigate the predictors of LOS in AIS-MeVO.

METHODS

We conducted a retrospective analysis of prospectively maintained stroke databases, comprising AIS cases with MeVO in the anterior circulation, assessed by adequate CT perfusion (CTP). Baseline and clinical data were obtained from electronic health records. Alberta Stroke Program Early CT Scores (ASPECTS) were calculated from non-contrast head CT. The perfusion mismatch volume (time to maximum > 6 s minus relative cerebral blood flow <30%) volume was reported from CTP. Multiple regression was employed to examine the relationship between baseline parameters and hospital LOS.

RESULTS

A total of 133 patients (median age 71 [interquartile range 63-80] years, 59.4% females) were included in the study cohort. The perfusion mismatch volume significantly positively correlated with LOS (r = 0.264, p = 0.004). After adjusting for age, sex, hypertension, diabetes, prior stroke or transient ischemic attack, admission NIHSS, ASPECTS, Tan score, intravenous thrombolysis, mechanical thrombectomy (MT), and hemorrhagic transformation, a larger mismatch volume remained independently associated with longer hospital stays (β = 0.209, 95% confidence interval [CI] 0.006-0.412, p = 0.045). Additional significant determinants of longer hospital stay included admission NIHSS (β = 0.250, 95% CI: 0.060-0.440, p = 0.010) and MT (β = 0.208, 95% CI: 0.006-0.410, p = 0.044). Among patients who underwent MT (n = 83), multiple regression analysis incorporating both perfusion mismatch volume and admission NIHSS revealed that perfusion mismatch volume remained independently associated with LOS (β = 0.248, 95% CI: 0.019-0.471, p = 0.033), while admission NIHSS did not retain significance (β = 0.208, 95% CI: 0.019-0.433, p = 0.071).

CONCLUSIONS

In our cohort of AIS patients with MeVO in the anterior circulation, and particularly in those who underwent MT, the perfusion mismatch volume serves as an independent predictor of LOS. These findings offer critical valuable insights in clinical assessments and decision-making protocols of MT in AIS-MeVO.

Mechanisms of Vagus Nerve Stimulation in Improving Motor Dysfunction After Stroke

Patients with stroke would have persistent functional deficits despite undergoing physiotherapy and rehabilitation training. Recently, vagus nerve stimulation (VNS), a newly emerging neuroregulatory technique, has been shown to improve motor dysfunction after stroke. Evidence from clinical and preclinical studies has proven the safety, feasibility, and efficacy of invasive and noninvasive VNS. It has been reported that the positive effect may be related to anti-inflammatory effects, mediating neuroplasticity, increasing blood-brain barrier integrity, promoting angiogenesis and reducing spreading depolarization. However, the underlying mechanism remains poorly understood. In this review, we have summarized the potential molecular mechanisms by which VNS promotes stroke prognosis. We believe that VNS combined with upper-extremity rehabilitation can improve impairment and function among moderately to severely impaired stroke survivors. The applications and further exploration are discussed to provide new insights into this novel therapeutic technique.

Projections of the Stroke Burden at the Global, Regional, and National Levels up to 2050 Based on the Global Burden of Disease Study 2021

BACKGROUND

Stroke is a pressing public health issue worldwide. This study aimed to forecast the future temporal trends and distribution characteristics of the global stroke burden.

METHODS AND RESULTS

Global data on stroke incidence, prevalence, deaths, and disability-adjusted life years between 1990 and 2021 were obtained from the GBD (Global Burden of Disease) Study 2021. The temporal trends of stroke burden were estimated using various regression models. Gross domestic product per capita was adopted as a predictor in the model to consider the impact of economic development on stroke burden. Projections of stroke burden up to 2050 were generated using the optimal model selected based on the Akaike information criterion, encompassing global, World Bank income levels, national levels, and sex-age groups. In 2050, we projected 21.43 million stroke cases, 159.31 million survivors, 12.05 million deaths, and 224.86 million disability-adjusted life years due to stroke globally. From 2021 to 2050, there was a declining trend in the global age-adjusted stroke rates, with -7% in incidence, -4% in prevalence, -28% in deaths, and -28% in disability-adjusted life years. Upper-middle-income countries were projected to have the most severe stroke burden, followed by lower-middle-income countries, low-income countries, and high-income countries. The stroke burden in over half of the 204 countries and territories was expected to be alleviated from 2022 to 2050. Men and older women worldwide bear higher burden.

CONCLUSIONS

Stroke remains a serious global health challenge, especially in low-income and middle-income countries. Targeted implementation of prevention and interventions is imperative across diverse demographic groups.

Do interaction and joint effects between physical activity and dietary inflammatory index modify stroke risk?

OBJECTIVE

Stroke is a major public health threat, and both physical activity (PA) and diet are modifiable risk factors for stroke. This study assessed the interaction and joint effects of PA and the dietary inflammatory index (DII) on stroke.

METHODS

We included 18,676 participants from the 2007-2020 National Health and Nutrition Examination Survey. The independent associations, interactions, and joint effects of PA and the DII on stroke were assessed by weighted multivariable logistic regression.

RESULTS

The weighted mean age of the participants was 48.24 years, and comprised 703 individuals who had experienced a stroke. After adjusting for confounders, increased stroke risk was independently associated with a higher DII (Q4, odds ratio [OR]: 1.72, 95 % confidence interval [CI]: 1.27-2.34) and insufficient PA (inactive, OR: 1.37, 95 % CI: 1.05-1.78). No significant multiplicative (OR: 1.11, 95 % CI: 0.34-1.93) or additive (relative excess risk due to interaction: 0.45, 95 % CI: 0.35-1.25) interactions were found between DII and PA. The results of joint associations indicated that individuals who consumed the most pro-inflammatory diet (DII, Q4) and were physically inactive (OR: 2.39, 95 % CI: 1.61-3.56) had the highest stroke risk than those who consumed the most anti-inflammatory diet (DII, Q1) and were physically active.

CONCLUSION

Active PA and low DII scores are independent protective factors against stroke. Although the multiplicative and additive effects of the DII and PA on stroke risk are not statistically significant, the analysis of their joint effects suggest that individuals who consume anti-inflammatory diets and exhibit active PA consistently have the lowest risk of stroke.

The Post-Stroke Checklist: longitudinal use in routine clinical practice during first year after stroke

BACKGROUND

Few studies describe the use of the Post-Stroke Checklist (PSC) as a tool for longitudinal stroke follow-up in clinical practice. We mapped the prevalence of stroke-related health problems and targeted interventions at 3 and 12 months post-stroke by using the PSC.

METHODS

Patients with acute stroke discharged home in 2018-2019 at Skåne University Hospital, Sweden, were invited to participate in a comprehensive nurse-led follow-up based on a 14-item PSC 3 and 12 months post-stroke. We measured time consumption, screened for stroke-related health problems, compared the findings, and recorded targeted healthcare interventions. Problems at 12 months were grouped into new, persistent, or none compared to the 3-month evaluation.

RESULTS

Of 200 consecutively included patients, 146 (77%) completed both the 3- and 12-month follow-ups. At 12-month follow-up, 36% of patients reported no stroke-related health problems, 24% reported persistent problems, and 40% reported new problems since the 3-month evaluation. New problems at 12 months were most common within the domains: secondary prevention (23%) and life after stroke (10%). Stroke recurrence rate was 7.5%, 43% had high blood pressure, and few smokers had quit smoking. At 12 months, 53% received at least one new healthcare intervention, compared to 84% at 3 months.

CONCLUSIONS

Stroke-related health problems decreased beyond 3 months but were still present in two-thirds of patients at 1 year. This emphasizes the relevance of continuous structured follow-up using the PCS. However, the follow-up alone was insufficient to adequately achieve treatment targets for secondary prevention, which require intensified focus.

TRIAL REGISTRATION

ClinicalTrials.gov ID NCT04295226, (04/03/2020).

The psychosocial background of dental care avoidance: A qualitative study

INTRODUCTION

Dental care avoidance affects individuals' oral health status. There is limited literature examining the context of dental avoidance behavior.

AIM

The aim of the study is to examine attitudes toward dental care services among adults.

METHODS

Overall, 16 patients participated in semi-structured interviews. The interviews were analyzed using inductive thematic analysis. Through independent reviews of the themes that comprise the patients' experience, a consensus was established among the researchers.

RESULTS

Ten major themes were identified that encapsulate patients' attitudes toward dental care attendance: Effect of environment and equipment, Fear and anesthesia, Procrastination, Dissatisfaction with the dental care system, Expectations of dentists, Quality of dental care, Edentulousness and social status, Financial involvement, Aesthetics, and Dentists' behavior. Compliance with oral health maintenance can be enhanced by specific training for professionals and dentistry students and by fine tuning the dental care system.

CONCLUSIONS

This is the first comprehensive study in Hungary investigating attitudes among dentist patients toward dental care. The results suggest that there are many factors that may affect dental care attendance. Thus, these findings make a potentially fundamental contribution to the improvement of dental care and support practitioners in enriching their understanding of dental avoidance behavior.

A Systematic Search and Review of Registered Pharmacological Therapies Investigated to Improve Outcomes after a Stroke

INTRODUCTION

Stroke burden is largely due to long-term impairments requiring prolonged care and loss of productivity. We aim to identify and assess studies of different registered pharmacological therapies as treatments for improving post-stroke impairments and/or disabilities.

METHODS

In a systematic search and review (PROSPERO registration: CRD42022376973), studies of treatments that have been investigated as recovery-enhancing or recovery-promoting treatments in adult patients who had suffered a stroke will be searched for, screened, and reviewed based on the following: participants (P): adult humans, aged 18 years or older, diagnosed with stroke; interventions (I): registered or marketed pharmacological therapies that have been investigated as recovery-enhancing or recovery-promoting treatments in stroke; comparators (C): active or placebo or no comparator; outcomes (O): stroke-related neurological impairments and functional/disability assessments. Data will be extracted from included papers, including patient demographics, study methods, keystroke inclusion criteria, details of intervention and control, and the reported outcomes.

RESULT

"The best available studies" based on study design, study size, and/or date of publication for different therapies and stroke subtypes will be selected and graded for level of evidence by consensus.

CONCLUSION

There are conflicting study results of pharmacological interventions after an acute stroke to enhance recovery. This systematic search and review will identify the best evidence and knowledge gaps in the pharmacological treatment of post-stroke patients as well as guide clinical decision-making and planning of future studies.

Sex-specific association of weight-adjusted waist index with mortality in stroke survivors: A national longitudinal cohort study

BACKGROUND AND AIMS

The weight-adjusted waist index (WWI) is a novel indicator of obesity, and its association with mortality in stroke patients remains unknown. We aimed to explore these associations through a national longitudinal cohort study.

METHODS AND RESULTS

We included stroke survivors from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 who were followed up until December 31, 2019. The study outcomes were all-cause and cardiovascular disease (CVD) mortality in stroke patients. A total of 1427 stroke patients were enrolled, and after a median follow-up duration of 83 months, 624 stroke patients died, including 251 from CVD. Kaplan‒Meier survival analyses indicated that WWI was significantly associated with the probability of survival over time in stroke patients (log-rank tests, both p < 0.0001). After adjusting for confounders, WWI was significantly and positively associated with all-cause and CVD mortality after stroke. Restricted cubic spline analysis revealed that WWI was linearly associated with all-cause mortality and nonlinearly associated with CVD mortality. Stratified analyses suggested that sex significantly influenced the effect of WWI on all-cause mortality in stroke patients. Additional body mass index (BMI) adjustments did not significantly change the results.

CONCLUSION

WWI was positively associated with all-cause and CVD mortality in stroke patients, independent of BMI. These effects were present only in men. These findings suggest that WWI is an independent prognostic factor in stroke patients and that maintaining appropriate WWI values can help improve the prognosis of stroke survivors.

Effects of motor imagery-based brain-computer interface-controlled electrical stimulation on lower limb function in hemiplegic patients in the acute phase of stroke: a randomized controlled study

Background

Lower limb motor dysfunction is one of the most serious consequences of stroke; however, there is insufficient evidence for optimal rehabilitation strategies. Improving lower limb motor function through effective rehabilitation strategies is a top priority for stroke patients. Neuroplasticity is a key factor in the recovery of motor function. The extent to which neuroplasticity-based rehabilitation therapy using brain-computer interface (BCI) is effective in treating lower limb motor dysfunction in acute ischemic stroke patients has not been extensively investigated.

Objective

This study aimed to assess the impact of BCI rehabilitation on lower limb motor dysfunction in individuals with acute ischemic stroke by evaluating motor function, walking ability, and daily living activities.

Methods

This study was conducted in a randomized controlled trial, involving 64 patients with acute ischemic stroke who experienced lower limb motor dysfunction. All patients were divided into two groups, with 32 patients assigned to the control group was given conventional rehabilitation once a day for 70 min, 5 times a week for 2 weeks, and the experimental group (n = 32) was given BCI rehabilitation on top of the conventional rehabilitation for 1 h a day, 30 min of therapy in the morning and an additional 30 min in the afternoon, for a total of 20 sessions over a two-week period. The primary outcome was lower extremity motor function, which was assessed using the lower extremity portion of the Fugl-Meyer Rating Scale (FMA-LE), and the secondary endpoints were the Functional Ambulation Scale (FAC), and the Modified Barthel index (MBI).

Results

After 20 sessions of treatment, both groups improved in motor function, walking function, and activities of daily living, and the improvements in FMA-LE scores (p < 0.001), FAC (p = 0.031), and MBI (p < 0.001) were more pronounced in the experimental group compared with the control group.

Conclusion

Conventional rehabilitation therapy combined with BCI rehabilitation therapy can improve the lower limb motor function of hemiplegic patients with stroke, enhance the patient's ability to perform activities of daily living, and promote the improvement of walking function, this is an effective rehabilitation policy to promote recovery from lower extremity motor function disorders.

Current state of research on acupuncture for the treatment of post-stroke dysphagia: a scoping review

Objective

Post-stroke dysphagia (PSD) is a common complication of stroke. Acupuncture as one of the traditional therapies in traditional Chinese medicine (TCM), can change the excitability of cerebral cortical nerve cells, and promote the recovery of neurological and swallowing functions. Several clinical primary studies (including RCTs, cohort studies, etc.) and systematic reviews have demonstrated its efficacy and safety in patients with PSD. The positive effects of acupuncture on PSD are also mentioned in international clinical and treatment guidelines, while there is no synthesis of this evidence. This scoping review aims to summarize the evidence from clinical primary studies, reviews, systematic reviews, and guidelines on acupuncture for the treatment of PSD and explore the breadth of this evidence, provide an overview of the range and characteristics of existing evidence, research gaps, and future research priorities in treating PSD with acupuncture.

Method

PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, SinoMed, Wan Fang Data, and VIP databases were searched from inception until June 12, 2024. The relevant data were presented through bubble diagrams, line graphs, and structured tables along with descriptive statistics and analysis. This scoping review was conducted based on the PRISMA-ScR Checklist.

Results

A total of 1,130 studies were included. Most of the studies were conducted in China, with the number increasing over time. The studies included 254 reviews, 815 clinical studies (678 RCTs,107 nRCTs, 12 case reports, 14 cohort studies, and four case series), 51 systematic reviews, and 10 guidelines. Acupuncture interventions included manual acupuncture (MA), electroacupuncture (EA), and MA/EA combined with acupuncture-related methods (such as scalp acupuncture, auricular acupuncture, warm acupuncture, etc.). The most frequently used acupoint was RN23. Acupuncture is often applied in combination with other treatments, such as herbal medicine, Western medicine, rehabilitation training, swallowing training, or catheter balloon dilatation. Effective rates and WTS were the most frequently used outcomes. Most studies reported significant efficacy and only a few studies explicitly reported adverse events. Acupuncture received positive recommendations in nine guidelines for the treatment of PSD.

Conclusion

As a convenient and safe traditional Chinese medicine therapy with its characteristics, acupuncture can improve different stages and types of dysphagia without causing serious adverse reactions. In the future, more standardized international cooperative clinical research is needed to identify the influence of different acupuncture intervention times on the curative effect and dose-effect relationship of acupuncture; standardize the clinical acupoint selection scheme of acupuncture; develop a COS with TCM characteristics to improve the quality of outcome reporting, This will enable different research data to be summarized and compared, reduce resource waste, and provide more high-quality evidence.

Benserazide is neuroprotective and improves functional recovery after experimental ischemic stroke by altering the immune response

Stroke is a leading cause of permanent disability worldwide. Despite intensive research over the last decades, key anti-inflammatory strategies that have proven beneficial in pre-clinical animal models have often failed in translation. The importance of neutrophils as pro- and anti-inflammatory peripheral immune cells has often been overlooked in ischemic stroke. However, neutrophils rapidly infiltrate into the brain parenchyma after stroke and secrete an array of pro-inflammatory factors including reactive oxygen species, proteases, cytokines, and chemokines exacerbating damage. In this study, we demonstrate the neuroprotective and anti-inflammatory effect of benserazide, a clinically used DOPA decarboxylase inhibitor, using both in vitro models of inflammation and in vivo mouse models of focal cerebral ischemia. Benserazide significantly attenuated PMA-induced NETosis in isolated human neutrophils. Furthermore, benserazide was able to protect both SH-SY5Y and iPSC-derived human cortical neurons when challenged with activated neutrophils demonstrating the clinical relevance of this study. Additional in vitro data suggest the ability of benserazide to polarize macrophages towards M2-phenotypes following LPS stimulation. Neuroprotective effects of benserazide are further demonstrated by in vivo studies where peripheral administration of benserazide significantly attenuated neutrophil infiltration into the brain, altered microglia/macrophage phenotypes, and improved the behavioral outcome post-stroke. Overall, our data suggest that benserazide could serve as a drug candidate for the treatment of ischemic stroke. The importance of our results for future clinical trials is further underlined as benserazide has been approved by the European Medicines Agency as a safe and effective treatment in Parkinson's disease when combined with levodopa.

A novel virtual robotic platform for controlling six degrees of freedom assistive devices with body-machine interfaces

Body-machine interfaces (BoMIs)-systems that control assistive devices (e.g., a robotic manipulator) with a person's movements-offer a robust and non-invasive alternative to brain-machine interfaces for individuals with neurological injuries. However, commercially-available assistive devices offer more degrees of freedom (DOFs) than can be efficiently controlled with a user's residual motor function. Therefore, BoMIs often rely on nonintuitive mappings between body and device movements. Learning these mappings requires considerable practice time in a lab/clinic, which can be challenging. Virtual environments can potentially address this challenge, but there are limited options for high-DOF assistive devices, and it is unclear if learning with a virtual device is similar to learning with its physical counterpart. We developed a novel virtual robotic platform that replicated a commercially-available 6-DOF robotic manipulator. Participants controlled the physical and virtual robots using four wireless inertial measurement units (IMUs) fixed to the upper torso. Forty-three neurologically unimpaired adults practiced a target-matching task using either the physical (sample size n = 25) or virtual device (sample size n = 18) involving pre-, mid-, and post-tests separated by four training blocks. We found that both groups made similar improvements from pre-test in movement time at mid-test (Δvirtual: 9.9 ± 9.5 s; Δphysical: 11.1 ± 9.9 s) and post-test (Δvirtual: 11.1 ± 9.1 s; Δphysical: 11.8 ± 10.5 s) and in path length at mid-test (Δvirtual: 6.1 ± 6.3 m/m; Δphysical: 3.3 ± 3.5 m/m) and post-test (Δvirtual: 6.6 ± 6.2 m/m; Δphysical: 3.5 ± 4.0 m/m). Our results indicate the feasibility of using virtual environments for learning to control assistive devices. Future work should determine how these findings generalize to clinical populations.

A systematic review of the economic burden of colorectal cancer

Background

Colorectal cancer is the third most common cancer in the Western Hemisphere. It is the third most common cancer in men after prostate and lung cancers and the second most common cancer in women after breast cancer. According to some studies, the incidence and prevalence of colorectal cancer is increasing rapidly.

Main Body

In the present study, a systematic review of the articles related to the economic burden of colorectal cancer was carried out. The articles were taken from the following databases: SID, Medline/Pubmed, Embase, Scopus, Web of Science, NHS Economic Evaluation Database (EED), Econlit, and Google Scholar. Furthermore, the PICOTS model was used to select the inclusion criteria. The quality of the articles' methodologies was evaluated using Drummond's checklist. Then, some data were extracted from relevant articles, in terms of year, place of research, sample size, costing approach, type of measured costs, average direct medical costs, average direct nonmedical costs, and average indirect costs. The data from 37 studies dealing with the costs of patients with colorectal cancer were extracted. Most of the studies were conducted in the United States, and the social perspective was the most common perspective to measure the costs. According to the majority of the studies, direct medical costs were considered the greatest driver in causing the economic burden of colorectal cancer. The costs of hospitalization, medicine, surgery, chemotherapy, and radiotherapy accounted for the largest share of direct medical costs, and the costs of transportation, accommodation, and home care were the greatest share of direct nonmedical costs. Furthermore, the costs associated with disability, absenteeism, and premature death were identified as the main drivers of indirect costs.

Conclusion

The findings of this study showed that colorectal cancer imposes great direct and indirect costs on families, the health system, and society. The best way to deal with this disease and, hence, to reduce its economic burden is to take comprehensive preventive measures and modify the lifestyle. In addition, health policymakers can limit the costs of this disease by expanding the screening program.

High-intensity locomotor training during inpatient rehabilitation improves the discharge ambulation function of patients with stroke. A systematic review with meta-analysis

OBJECTIVE

To evaluate the evidence of high-intensity locomotor training on outcomes related to gait and balance for patients with stroke in inpatient rehabilitation.

METHODS

Four databases were searched (PubMed, CINAHL, Web of Science, and MedLINE) for articles published prior to 13 June 2023. Studies of adults (>18 years old) with a diagnosis of stroke who received a high-intensity locomotor intervention while admitted to an inpatient rehabilitation facility were included. A functional outcome in the domain of gait speed, gait endurance, or balance must have been reported. Following the screening of 1052 studies, 43 were selected for full-text review. Studies were assessed for risk of bias using the tool appropriate to the study type. Gait speed, gait endurance, and balance outcome data were extracted for further analysis.

RESULTS

Eight studies were selected with risk of bias ratings as moderate (4), high (2), and low (2). Six studies were analyzed in the meta-analysis (N = 635). A random-effects model analyzed between-group differences. Standard mean differences demonstrated that high-intensity locomotor training produces a moderate effect on gait endurance (0.50) and gait speed (0.41) and a negligible effect on balance (0.08) compared with usual care.

CONCLUSIONS

The meta-analysis supports the use of high-intensity locomotor training over usual care for improving gait speed and gait endurance during inpatient post-stroke. Future studies should investigate dose-response relationships of high-intensity locomotor training in this setting.

PROSPERO REGISTRATION

#CRD42022341329.

The relation between insomnia and depression in the subacute phase after stroke

Prevalence rates for both depression and insomnia the first year after stroke are around 30%, significantly impacting the prospects of recovery, rehabilitation, and quality of life. Furthermore, the risk of insomnia and depression becoming chronic is high in the subacute phase post-stroke. This cross-sectional observational study investigated whether insomnia and depression are related in the subacute phase post-stroke, using validated instruments. Sixty-six outpatient stroke survivors participated. Depression was measured using the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) and insomnia severity with the Insomnia Severity Index (ISI). A multiple linear regression analysis was used to examine the association between the dependent variable post-stroke depression and the independent variables insomnia and pre-stroke depression treatment. Results showed that insomnia (β = 0.48, t = 4.40, p < 0.001) and pre-stroke depression treatment (β = 0.24, t = 2.28, p = 0.026) were both significant predictors of depression. Participants with more insomnia complaints and participants with pre-stroke depression treatment had more depression symptoms post-stroke. Therefore, it is important to be alert in the subacute phase post-stroke of both, insomnia and depression complaints.

Minimally invasive surgeries for spontaneous hypertensive intracerebral hemorrhage (MISICH): a multicenter randomized controlled trial

BACKGROUND

Intracerebral hemorrhage (ICH) is a common stroke type with high morbidity and mortality. There are mainly three surgical methods for treating ICH. Unfortunately, thus far, no specific surgical method has been proven to be the most effective. We carried out this study to investigate whether minimally invasive surgeries with endoscopic surgery or stereotactic aspiration (frameless navigated aspiration) will improve functional outcomes in patients with supratentorial ICH compared with small-bone flap craniotomy.

METHODS

In this parallel-group multicenter randomized controlled trial conducted at 16 centers, patients with supratentorial hypertensive ICH were randomized to receive endoscopic surgery, stereotactic aspiration, or craniotomy at a 1:1:1 ratio from July 2016 to June 2022. The follow-up duration was 6 months. Patients were randomized to receive endoscopic evacuation, stereotactic aspiration, or small-bone flap craniotomy. The primary outcome was favorable functional outcome, defined as the proportion of patients who achieved a modified Rankin scale (mRS) score of 0-2 at the 6-month follow-up.

RESULTS

A total of 733 patients were randomly allocated to three groups: 243 to the endoscopy group, 247 to the aspiration group, and 243 to the craniotomy group. Finally, 721 patients (239 in the endoscopy group, 246 in the aspiration group, and 236 in the craniotomy group) received treatment and were included in the intention-to-treat analysis. Primary efficacy analysis revealed that 73 of 219 (33.3%) in the endoscopy group, 72 of 220 (32.7%) in the aspiration group, and 47 of 212 (22.2%) in the craniotomy group achieved favorable functional outcome at the 6-month follow-up (P = .017). We got similar results in subgroup analysis of deep hemorrhages, while in lobar hemorrhages the prognostic outcome was similar among three groups. Old age, deep hematoma location, large hematoma volume, low preoperative GCS score, craniotomy, and intracranial infection were associated with greater odds of unfavorable outcomes. The mean hospitalization expenses were ¥92,420 in the endoscopy group, ¥77,351 in the aspiration group, and ¥100,947 in the craniotomy group (P = .000).

CONCLUSIONS

Compared with small bone flap craniotomy, endoscopic surgery and stereotactic aspiration improved the long-term outcome of hypertensive ICH, especially deep hemorrhages.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02811614.

Twenty Years of Get With The Guidelines-Stroke: Celebrating Past Successes, Lessons Learned, and Future Challenges

The Get With The Guidelines-Stroke program which, began 20 years ago, is one of the largest and most important nationally representative disease registries in the United States. Its importance to the stroke community can be gauged by its sustained growth and widespread dissemination of findings that demonstrate sustained increases in both the quality of care and patient outcomes over time. The objectives of this narrative review are to provide a brief history of Get With The Guidelines-Stroke, summarize its major successes and impact, and highlight lessons learned. Looking to the next 20 years, we discuss potential challenges and opportunities for the program.

Synergetic impact of lipoprotein(a) and fibrinogen on stroke in coronary artery disease patients

BACKGROUND

Emerging data suggested that lipoprotein(a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease. Previous studies indicated fibrinogen (Fib) had synergetic effect on Lp(a)-induced events. However, combined impact of Fib and Lp(a) on ischemic stroke has not been elucidated.

METHODS

In this prospective study, we consecutively enrolled 8263 patients with stable coronary artery diseases (CAD) from 2011 to 2017. Patients were categorized into three groups according to tertiles of Lp(a) levels [Lp(a)-low, Lp(a)-medium, and Lp(a)-high] and further divided into nine groups by Lp(a) and Fib levels. All subjects were followed up for the occurrence of ischemic stroke.

RESULTS

During a median follow-up of 37.7 months, 157 (1.9%) ischemic strokes occurred. Stroke incidence increased by Lp(a) (1.1 vs. 2.1 vs. 2.5%, Cochran-Armitage p < .001) and Fib (1.1 vs. 2.0 vs. 2.6%, Cochran-Armitage p < .001) categories. When further classified into nine groups by Lp(a) and Fib levels, the incidence of ischemic stroke in group 9 [Lp(a)-high and Fib-high] was significantly higher than that in group 1 [Lp(a)-low and Fib-low] (3.1 vs. 6%, p < .001). The group 9 was associated with a highest risk for ischemic stroke (adjusted HR 4.907, 95% CI: 2.154-11.18, p < .001), compared with individuals in the Lp(a)-high (adjusted HR 2.290, 95% CI: 1.483-3.537, p < .001) or Fib-high (adjusted HR 1.184, 95% CI: 1.399-3.410, p = .001). Furthermore, combining Lp(a) with Fib increased C-statistics by .045 (p = .004).

CONCLUSIONS

Current study first demonstrated that elevated Lp(a) combining with Fib evaluation enhanced the risk of ischemic stroke in patients with CAD beyond Lp(a) or Fib alone.

Predictive models for delay in medical decision-making among older patients with acute ischemic stroke: a comparative study using logistic regression analysis and lightGBM algorithm

OBJECTIVE

To explore the factors affecting delayed medical decision-making in older patients with acute ischemic stroke (AIS) using logistic regression analysis and the Light Gradient Boosting Machine (LightGBM) algorithm, and compare the two predictive models.

METHODS

A cross-sectional study was conducted among 309 older patients aged ≥ 60 who underwent AIS. Demographic characteristics, stroke onset characteristics, previous stroke knowledge level, health literacy, and social network were recorded. These data were separately inputted into logistic regression analysis and the LightGBM algorithm to build the predictive models for delay in medical decision-making among older patients with AIS. Five parameters of Accuracy, Recall, F1 Score, AUC and Precision were compared between the two models.

RESULTS

The medical decision-making delay rate in older patients with AIS was 74.76%. The factors affecting medical decision-making delay, identified through logistic regression and LightGBM algorithm, were as follows: stroke severity, stroke recognition, previous stroke knowledge, health literacy, social network (common factors), mode of onset (logistic regression model only), and reaction from others (LightGBM algorithm only). The LightGBM model demonstrated the more superior performance, achieving the higher AUC of 0.909.

CONCLUSIONS

This study used advanced LightGBM algorithm to enable early identification of delay in medical decision-making groups in the older patients with AIS. The identified influencing factors can provide critical insights for the development of early prevention and intervention strategies to reduce delay in medical decisions-making among older patients with AIS and promote patients' health. The LightGBM algorithm is the optimal model for predicting the delay in medical decision-making among older patients with AIS.

Caring for Stroke Survivors: Ethnic Differences in Informal Caregiver Needs Among Mexican American and Non-Hispanic White Communities

BACKGROUND

After stroke, Mexican American (MA) individuals have worse 90-day neurological, functional, cognitive, and quality of life outcomes and a higher prevalence of poststroke depression compared with non-Hispanic White (NHW) individuals. MA individuals receive more help through informal, unpaid caregiving than NHW individuals. We examined ethnic differences in needs identified by MA and NHW stroke caregivers.

METHODS

Caregivers were identified from the population-based BASIC study (Brain Attack Surveillance in Corpus Christi) in Nueces County, Texas from October 2019 to November 2021. Responses to the Caregiver Needs and Concerns Checklist were collected at 90-day poststroke to assess caregiver needs. Using the cross-sectional sample, prevalence scores and bivariate analyses were used to examine ethnic differences between Caregiver Needs and Concerns Checklist items. Linear regression was used to examine adjusted associations of ethnicity with the total average needs for each domain. Models were adjusted for patient and caregiver age and sex, caregiver education level, and employment status, patient insurance status, prestroke function, cognitive status, language, and functional outcome at 90 days, intensity and duration of caregiving, presence of other caregivers (paid/unpaid), and cohabitation of patient and caregiver.

RESULTS

A total of 287 were approached, and 186 stroke caregivers were included with a median age of 54.2 years and 80.1% being women caregivers: 74.3% MA and 25.7% NHW individuals. MA caregivers had significantly lower education (

CONCLUSIONS

MA stroke caregivers have greater information needs compared with NHW caregivers and a greater number of needs overall. This information can help improve resources to help with poststroke recovery, improve caregiver well-being, and strengthen health equity.

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Key Words

• caregivers
• ethnicity
• stroke

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MESH Headings Collapse

Grants

• R01 AG069148 NIA NIH HHS
• R01 NS100687 NINDS NIH HHS

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Affiliation(s)

Roshanak Mehdipanah School of Public Health, University of Michigan, Ann Arbor, MI
Lewis B Morgenstern School of Public Health, University of Michigan, Ann Arbor, MI
Janet Prvu Bettger College of Public Health, Temple University, Philadelphia, PA
Madeline Kwicklis School of Public Health, University of Michigan, Ann Arbor, MI
Erin Case School of Public Health, University of Michigan, Ann Arbor, MI
Elizabeth Almendarez School of Public Health, University of Michigan, Ann Arbor, MI
Lynda D Lisabeth School of Public Health, University of Michigan, Ann Arbor, MI

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Impact of rehabilitation adherence and depressive symptoms on post-stroke self-care ability and quality of life: a longitudinal study

BACKGROUND

Good rehabilitation adherence leads to effective post-stroke recovery. However, some recovering patients experience post-stroke depressive symptoms, which can affect post-stroke health outcomes. Previous studies have not examined the effect of a combination of rehabilitation adherence and depressive symptoms on recovery after a stroke.

OBJECTIVES

This study explored the combined predictive influence of rehabilitation adherence and post-stroke depressive symptoms on self-care abilities and quality of life in patients with stroke.

METHODS

This prospective longitudinal study analyzed data from 75 stroke patients. We examined rehabilitation adherence (self-reported, five-point scale), post-stroke depressive symptoms (Taiwanese Depression Scale), self-care ability (Chinese versions of the Barthel Index and Lawton - Brody Instrumental Activities of Daily Living Scale), and post-stroke quality of life (World Health Organization Quality of Life-BREF). Patients were followed up for six months after inclusion. The influence of rehabilitation adherence and post-stroke depressive symptoms on post-stroke self-care abilities and quality of life was examined using generalized estimating equations.

RESULTS

The sample's mean age was 60.85 (±12.9) years. Patients with perfect rehabilitation adherence had better self-care abilities and quality of life than those with imperfect rehabilitation adherence. Patients without post-stroke depressive symptoms had a better quality of life than their counterparts. Patients with perfect rehabilitation adherence and no post-stroke depressive symptoms had better self-care abilities and quality of life than those with imperfect rehabilitation adherence and post-stroke depressive symptoms.

CONCLUSION

Both depressive symptoms and rehabilitation adherence behavior impacted the rehabilitation effect among patients who are recovering from a stroke.

Risk Factors and Prognosis Analysis of Upper Gastrointestinal Bleeding in Patients With Acute Severe Cerebral Stroke

GOALS

We aim to explore the relationship between the use of proton pump inhibitors (PPIs) and upper gastrointestinal bleeding (UGIB). We develop a nomogram model to predict mortality in critically ill stroke patients.

STUDY

This is a retrospective study based on the MIMIC IV database. We extracted clinical information including demographic data, comorbidities, and laboratory indicators. Univariate and multivariable logistic regressions were used to assess and identify risk factors for the occurrence of UGIB and for the in-hospital mortality of critically ill stroke patients. The resulting model was used to construct a nomogram for predicting in-hospital mortality.

RESULTS

Five thousand seven hundred sixteen patients from the MIMIC-IV database were included in our analysis. UGIB occurred in 109 patients (1.9%), whereas the PPI use rate was as high as 60.6%. Chronic liver disease, sepsis, shock, anemia, and increased level of urea nitrogen were independent risk factors for the occurrence of UGIB in severe stroke patients. We identified age, heart failure, shock, coagulopathy, mechanical ventilation, continuous renal replacement therapy, antiplatelet drugs, anticoagulation, simplified acute physiology score-II, and Glasgow coma score as independent risk factors for in-hospital mortality in severe stroke patients. The C-index for the final nomograms was 0.852 (95% confidence interval: 0.840, 0.864).

CONCLUSIONS

We found that the overall rate of UGIB in severe stroke patients is low, whereas the rate of PPI usage is high. In our study, PPI was not identified as a risk factor for the occurrence of UGIB and UGIB was not associated with all-cause mortality. More clinical trials are needed to evaluate the benefits of using PPI in critically ill stroke patients.

Development and validation of a nomogram for predicting 28-day mortality in patients with ischemic stroke

BACKGROUND/AIM

We aimed to construct a validated nomogram model for predicting short-term (28-day) ischemic stroke mortality among critically ill populations.

MATERIALS AND METHODS

We collected raw data from the Medical Information Mart for Intensive Care IV database, a comprehensive repository renowned for its depth and breadth in critical care information. Subsequently, a rigorous analytical framework was employed, incorporating a 10-fold cross-validation procedure to ensure robustness and reliability. Leveraging advanced statistical methodologies, specifically the least absolute shrinkage and selection operator regression, variables pertinent to 28-day mortality in ischemic stroke were meticulously screened. Next, binary logistic regression was utilized to establish nomogram, then applied concordance index to evaluate discrimination of the prediction models. Predictive performance of the nomogram was assessed by integrated discrimination improvement (IDI) and net reclassification index (NRI). Additionally, we generated calibration curves to assess calibrating ability. Finally, we evaluated the nomogram's net clinical benefit using decision curve analysis (DCA), in comparison with scoring systems clinically applied under common conditions.

RESULTS

A total of 2089 individuals were identified and assigned into training (n = 1443) or validation (n = 646) cohorts. Various identified risk factors, including age, ethnicity, marital status, underlying metastatic solid tumor, Charlson comorbidity index, heart rate, Glasgow coma scale, glucose concentrations, white blood cells, sodium concentrations, potassium concentrations, mechanical ventilation, use of heparin and mannitol, were associated with short-term (28-day) mortality in ischemic stroke individuals. A concordance index of 0.834 was obtained in the training dataset, indicating that our nomogram had good discriminating ability. Results of IDI and NRI in both cohorts proved that our nomogram had positive improvement of predictive performance, compared to other scoring systems. The actual and predicted incidence of mortality showed favorable concordance on calibration curves (P > 0.05). DCA curves revealed that, compared with scoring systems clinically used under common conditions, the constructed nomogram yielded a greater net clinical benefit.

CONCLUSIONS

Utilizing a comprehensive array of fourteen readily accessible variables, a prognostic nomogram was meticulously formulated and rigorously validated to provide precise prognostication of short-term mortality within the ischemic stroke cohort.

The association in diabetic retinopathy and stroke finding from NHANES evidence

PURPOSE

Diabetic retinopathy and stroke are both vascular pathologies, and this study intends to investigate the relationship between diabetic retinopathy and stroke.

METHODS

The NHANES database was used to find the relationship between diabetic retinopathy and stroke with 1948 individuals aged 40 years or older. The sensitivity of the data was verified by multiple interpolation, further analysis was done by subgroup analyses, and possible links were investigated with mediation studies.

RESULTS

Diabetes retinopathy was found to be closely associated with stroke, with the PDR group having a higher stroke incidence than the NPDR group. After controlling for covariates, there were still substantial differences in the risk of stroke among patients with NPDR and PDR. Overall, subgroup analysis revealed DR group showed an important distinction, compared to the non-DR (OR = 1.76, 95% CI 1.15-2.64). The results of the mediation research indicated that the connection between DR and stroke was mediated by the frailty index and hypertension.

CONCLUSION

This study demonstrated a statistically significant correlation between DR and stroke, which persisted even after DR staging and was more prevalent in PDR patients than in NPDR patients. Stroke prevention may benefit from DR health management.

Accuracy, concurrent validity, and test-retest reliability of pressure-based insoles for gait measurement in chronic stroke patients

Introduction

Wearables are potentially valuable tools for understanding mobility behavior in individuals with neurological disorders and how it changes depending on health status, such as after rehabilitation. However, the accurate detection of gait events, which are crucial for the evaluation of gait performance and quality, is challenging due to highly individual-specific patterns that also vary greatly in movement and speed, especially after stroke. Therefore, the purpose of this study was to assess the accuracy, concurrent validity, and test-retest reliability of a commercially available insole system in the detection of gait events and the calculation of stance duration in individuals with chronic stroke.

Methods

Pressure insole data were collected from 17 individuals with chronic stroke during two measurement blocks, each comprising three 10-min walking tests conducted in a clinical setting. The gait assessments were recorded with a video camera that served as a ground truth, and pressure insoles as an experimental system. We compared the number of gait events and stance durations between systems.

Results and discussion

Over all 3,820 gait events, 90.86% were correctly identified by the insole system. Recall values ranged from 0.994 to 1, with a precision of 1 for all measurements. The F1 score ranged from 0.997 to 1. Excellent absolute agreement (Intraclass correlation coefficient, ICC = 0.874) was observed for the calculation of the stance duration, with a slightly longer stance duration recorded by the insole system (difference of -0.01 s). Bland-Altmann analysis indicated limits of agreement of 0.33 s that were robust to changes in walking speed. This consistency makes the system well-suited for individuals post-stroke. The test-retest reliability between measurement timepoints T1 and T2 was excellent (ICC = 0.928). The mean difference in stance duration between T1 and T2 was 0.03 s. We conclude that the insole system is valid for use in a clinical setting to quantitatively assess continuous walking in individuals with stroke.

Addressing disparities in the global epidemiology of stroke

Stroke is the second leading cause of death and the third leading cause of disability worldwide. Though the burden of stroke worldwide seems to have declined in the past three decades, much of this effect reflects decreases in high-income countries (HICs). By contrast, the burden of stroke has grown rapidly in low-income and middle-income countries (LMICs), where epidemiological, socioeconomic and demographic shifts have increased the incidence of stroke and other non-communicable diseases. Furthermore, even in HICs, disparities in stroke epidemiology exist along racial, ethnic, socioeconomic and geographical lines. In this Review, we highlight the under-acknowledged disparities in the burden of stroke. We emphasize the shifting global landscape of stroke risk factors, critical gaps in stroke service delivery, and the need for a more granular analysis of the burden of stroke within and between LMICs and HICs to guide context-appropriate capacity-building. Finally, we review strategies for addressing key inequalities in stroke epidemiology, including improvements in epidemiological surveillance and context-specific research efforts in under-resourced regions, development of the global workforce of stroke care providers, expansion of access to preventive and treatment services through mobile and telehealth platforms, and scaling up of evidence-based strategies and policies that target local, national, regional and global stroke disparities.

Predictors of hospital length of stay and long-term care facility placement in aneurysmal subarachnoid hemorrhage

Background

Aneurysmal subarachnoid hemorrhage (aSAH) is frequently associated with complications, extended hospital length of stay (LOS) and high health care related costs. We sought to determine predictors for hospital LOS and discharge disposition to a long-term care facility (LTCF) in aSAH patients.

Methods

We performed a retrospective study of a prospectively collected cohort of consecutive patients with aSAH admitted to an academic referral center from 2016 to 2021. Multiple linear regression was performed to identify predictors for hospital LOS. We then created a 10-point scoring system to predict discharge disposition to a LTCF.

Results

In a cohort of 318 patients with confirmed aSAH, mean age was 57 years (SD 13.7), 61% were female and 70% were white. Hospital LOS was longer for survivors (median 19 days, IQR 14-25) than for non-survivors (median 5 days, IQR 2-8; p < 0.001). Main predictors for longer LOS for this cohort were ventriculoperitoneal shunt (VPS) requirement (p < 0.001), delayed cerebral ischemia (p = 0.026), and pneumonia (p = 0.014). The strongest predictor for LTCF disposition was age older than 60 years (OR 1.14, 95% CI 1.07-1.21; p < 0.001). LTCF score had high accuracy in predicting discharge disposition to a LTCF (area under the curve [AUC] 0.83; 95% CI 0.75-0.91). Forty-one percent of patients who were discharged to a LTCF had significant functional recovery at 3 months post-discharge.

Conclusions

VPS requirement and aSAH related complications were associated with longer hospital LOS compared to other factors. LTCF score has high accuracy in predicting discharge disposition to a LTCF.

The Cost of Atrial Fibrillation: A Systematic Review

OBJECTIVES

Atrial fibrillation (AF) is the most common cardiac arrhythmia, with an increasing incidence and prevalence because of progressively aging populations. Costs related to AF are both direct and indirect. This systematic review aims to identify the main cost drivers of the illness, assess the potential economic impact resulting from changes in care strategies, and propose interventions where they are most needed.

METHODS

A systematic literature search of the PubMed and Scopus databases was performed to identify analytical observational studies defining the cost of illness in cases of AF. The search strategy was based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 recommendations.

RESULTS

Of the 944 articles retrieved, 24 met the inclusion criteria. These studies were conducted in several countries. All studies calculated the direct medical costs, whereas 8 of 24 studies assessed indirect costs. The median annual direct medical cost per patient, considering all studies, was €9409 (13 333 US dollars in purchasing power parities), with a very large variability due to the heterogeneity of different analyses. Hospitalization costs are generally the main cost drivers. Comorbidities and complications, such as stroke, considerably increase the average annual direct medical cost of AF.

CONCLUSIONS

In most of the analyzed studies, inpatient care cost represents the main component of the mean direct medical cost per patient. Stroke and heart failure are responsible for a large share of the total costs; therefore, implementing guidelines to manage comorbidities in AF is a necessary step to improve health and mitigate healthcare costs.

Effect of Qigong exercise on motor function in stroke patients: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Motor impairment is one of the most common defects after stroke, which could seriously affect the life quality of stroke patients. Exercise intervention gradually becomes a popular alternative rehabilitation therapy because of its safety and applicability.

OBJECTIVES

To systematically assess the effect of Qigong exercise on motor function in stroke patients.

METHODS

Randomized controlled trials that evaluated the effect of Qigong on motor function of stroke patients were obtained from PubMed and Chinese National Knowledge Infrastructure through May 2022. Mean values and standard deviations of the post-intervention score in both experimental group and control group were collected to calculate the mean difference (MD) and corresponkding 95% confidence interval (95% CI) of each study, which were quantificationally summarized using the Review Manager 5.3 software.

RESULTS

Nineteen randomized controlled trials enrolling 1487 stroke patients were included. Pooled results indicated that Qigong exercise had beneficial effect on balance function (Berg Balance Scale [MD: 7.56, 95% CI: 4.09-11.02]), limb motor function (Fugl-Meyer Assessment [total score: MD: 7.54, 95% CI: 6.38-8.69; upper limb: MD: 3.57, 95% CI: 0.71-6.43; lower limb: MD: 2.44, 95% CI: 0.59-4.29]) and walking function (6-min walking test [MD: 62.21, 95% CI: 11.70-112.73]) of stroke patients. It was also found to be associated with an improvement in trunk function as indicated by the Trunk Impairment Scale.

CONCLUSIONS

Available evidence supported potential benefits of Qigong exercise for improving motor functions of stroke patients. As a safe and widely applicable exercise, Qigong is worthy of further promotion in the rehabilitation of stroke patients.

Estimating the economic burden of stroke in China: a cost-of-illness study

OBJECTIVES

Stroke imposes a heavy economic burden and loss of productivity on individuals and society. This study assessed a range of crucial factors, including direct costs and indirect costs, to gauge the economic implications of stroke in China. These outcomes were evaluated with specific reference to the year 2018, using the Chinese yuan (¥) as the unit of measurement and providing the corresponding purchasing power parity dollar ($PPP) currency value.

METHODS

A cost-of-illness methodology was used to ascertain the economic implications of stroke in 2018. Within the constraints of this approach, economic costs were defined as 'direct costs' or 'indirect costs'. We estimated direct costs from sample data, the National Health Service Survey and the National Health Account and Health Statistical Yearbook. A human capital method was used to conservatively estimate indirect costs.

RESULTS

In 2018, of the economic burden of stroke in China, the direct costs were ¥247.8 billion ($PPP 58.6 billion) and indirect costs were ¥704.4 billion ($PPP 166.5 billion). The curative care expenditure for stroke was ¥193.1 billion ($PPP 45.7 billion), consuming nearly 5.5% of curative expenditure. The cost of stroke treatment relied heavily on public financing, with 58% from social health insurance and 14% from government sources.

CONCLUSIONS

A significant economic burden is imposed by stroke on China's economy, and there is a risk of underestimating this burden if indirect costs are not comprehensively considered. The importance of implementing effective preventive measures and screening strategies for stroke, with a particular focus on high-risk populations, is underscored by this study's findings. Such investments in public health have the potential to yield substantial benefits.

Rapid systematic review of readmissions costs after stroke

BACKGROUND

Stroke readmissions are considered a marker of health quality and may pose a burden to healthcare systems. However, information on the costs of post-stroke readmissions has not been systematically reviewed.

OBJECTIVES

To systematically review information about the costs of hospital readmissions of patients whose primary diagnosis in the index admission was a stroke.

METHODS

A rapid systematic review was performed on studies reporting post-stroke readmission costs in EMBASE, MEDLINE, and Web of Science up to June 2021. Relevant data were extracted and presented by readmission and stroke type. The original study's currency values were converted to 2021 US dollars based on the purchasing power parity for gross domestic product. The reporting quality of each of the included studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist.

RESULTS

Forty-four studies were identified. Considerable variability in readmission costs was observed among countries, readmissions, stroke types, and durations of the follow-up period. The UK and the USA were the countries reporting the highest readmission costs. In the first year of follow-up, stroke readmission costs accounted for 2.1-23.4%, of direct costs and 3.3-21% of total costs. Among the included studies, only one identified predictors of readmission costs.

CONCLUSION

Our review showed great variability in readmission costs, mainly due to differences in study design, countries and health services, follow-up duration, and reported readmission data. The results of this study can be used to inform policymakers and healthcare providers about the burden of stroke readmissions. Future studies should not solely focus on improving data standardization but should also prioritize the identification of stroke readmission cost predictors.

Healthcare professionals' experiences of delivering a stroke Early Supported Discharge service - An example from Ireland

OBJECTIVE

To explore healthcare professionals' experiences of the development and delivery of Early Supported Discharge for people after stroke, including experiences of the COVID-19 pandemic.

DESIGN

Qualitative descriptive study using one-to-one semi-structured interviews. Data were analysed using reflexive thematic analysis.

SETTING

Nine Early Supported Discharge service sites in Ireland.

PARTICIPANTS

Purposive sampling identified 16 healthcare professionals.

RESULTS

Five key themes were identified (1) Un-coordinated development of services, (2) Staff shortages limit the potential of Early Supported Discharge, (3) Limited utilisation of telerehabilitation post COVID-19 pandemic, (4) Families need information and support, and (5) Early Supported Discharge involves collaboration with people after stroke and their families.

CONCLUSIONS

Findings highlight how Early Supported Discharge services adapted during the COVID-19 pandemic and how gaps in the service impacts on service delivery. Practice implications include the need to address staff recruitment and retention issues to prevent service shortages and ensure consistent access to psychology services. Early Supported Discharge services should continue to work closely with families and address their information and support needs. Future research on how telerehabilitation can optimally be deployed and the impact of therapy assistants in Early Supported Discharge is needed.

Beyond diagnosis: Leveraging routine blood and urine biomarkers to predict severity and functional outcome in acute ischemic stroke

Background

The initial severity of acute ischemic stroke (AIS) is a crucial predictor of the disease outcome. In this study, blood and urine biomarkers from patients with AIS were measured to estimate stroke severity and predict long-term stroke outcomes.

Methods

The medical records of patients with AIS between October 2016 and May 2020 were retrospectively analyzed. The relationships of blood and urine biomarkers with stroke severity at admission were evaluated in patients with AIS. Predictive models for initial stroke severity and long-term prognosis were then developed using a panel of identified biomarkers.

Results

A total of 2229 patients were enrolled. Univariate analysis revealed 12 biomarkers associated with the National Institutes of Health Stroke Scale scores at admission. The area under the curve values for predicting initial stroke severity and long-term prognosis on the basis of these biomarkers were 0.7465, 0.7470, and 0.8061, respectively. Among multiple tested machine-learning, eXtreme gradient boosting exhibited the highest effectiveness in predicting 90-day modified Rankin Scale scores. SHapley Additive exPlanations revealed fasting glucose, albumin, hemoglobin, prothrombin time, and urine-specific gravity to be the top five most crucial biomarkers.

Conclusion

These findings demonstrate that clinically available blood and urine biomarkers can effectively estimate initial stroke severity and predict long-term prognosis in patients with AIS. Our results provide a scientific basis for developing tailored clinical treatment and management strategies for AIS, through incorporating liquid biomarkers into stroke risk assessment and patient care protocols for patients with AIS.

Role of PATJ in stroke prognosis by modulating endothelial to mesenchymal transition through the Hippo/Notch/PI3K axis

Through GWAS studies we identified PATJ associated with functional outcome after ischemic stroke (IS). The aim of this study was to determine PATJ role in brain endothelial cells (ECs) in the context of stroke outcome. PATJ expression analyses in patient's blood revealed that: (i) the risk allele of rs76221407 induces higher expression of PATJ, (ii) PATJ is downregulated 24 h after IS, and (iii) its expression is significantly lower in those patients with functional independence, measured at 3 months with the modified Rankin scale ((mRS) ≤2), compared to those patients with marked disability (mRS = 4-5). In mice brains, PATJ was also downregulated in the injured hemisphere at 48 h after ischemia. Oxygen-glucose deprivation and hypoxia-dependent of Hypoxia Inducible Factor-1α also caused PATJ depletion in ECs. To study the effects of PATJ downregulation, we generated PATJ-knockdown human microvascular ECs. Their transcriptomic profile evidenced a complex cell reprogramming involving Notch, TGF-ß, PI3K/Akt, and Hippo signaling that translates in morphological and functional changes compatible with endothelial to mesenchymal transition (EndMT). PATJ depletion caused loss of cell-cell adhesion, upregulation of metalloproteases, actin cytoskeleton remodeling, cytoplasmic accumulation of the signal transducer C-terminal transmembrane Mucin 1 (MUC1-C) and downregulation of Notch and Hippo signaling. The EndMT phenotype of PATJ-depleted cells was associated with the nuclear recruitment of MUC1-C, YAP/TAZ, β-catenin, and ZEB1. Our results suggest that PATJ downregulation 24 h after IS promotes EndMT, an initial step prior to secondary activation of a pro-angiogenic program. This effect is associated with functional independence suggesting that activation of EndMT shortly after stroke onset is beneficial for stroke recovery.

A Comparative Study of Transcranial Color-Coded Doppler (TCCD) and Transcranial Doppler (TCD) Ultrasonography Techniques in Assessing the Intracranial Cerebral Arteries Haemodynamics

Cerebrovascular disease (CVD) poses a major public health and socio-economic burden worldwide due to its high morbidity and mortality rates. Accurate assessment of cerebral arteries' haemodynamic plays a crucial role in the diagnosis and treatment management of CVD. The study compared a non-imaging transcranial Doppler ultrasound (TCD) and transcranial color-coded Doppler ultrasound (with (cTCCD) and without (ncTCCD)) angle correction in quantifying middle cerebral arteries (MCAs) haemodynamic parameters. A cross-sectional study involving 50 healthy adults aged ≥ 18 years was conducted. The bilateral MCAs were insonated via three trans-temporal windows (TTWs-anterior, middle, and posterior) using TCD, cTCCD, and ncTCCD techniques. The MCA peak systolic velocity (PSV) and mean flow velocity (MFV) were recorded at proximal and distal imaging depths that could be visualised on TCCD with a detectable spectral waveform. A total of 152 measurements were recorded in 41 (82%) subjects with at least one-sided open TTW across the three techniques. The mean PSVs measured using TCD, ncTCCD, and cTCCD were 83 ± 18 cm/s, 81 ± 19 cm/s, and 93 ± 21 cm/s, respectively. There was no significant difference in PSV between TCD and ncTCCD (bias = 2 cm/s, p = 1.000), whereas cTCCD yielded a significantly higher PSV than TCD and ncTCCD (bias = -10 cm/s, p < 0.001; bias = -12 cm/s, p ≤ 0.001, respectively). The bias in MFV between TCD and ncTCCD techniques was (bias = -0.5 cm/s; p = 1.000), whereas cTCCD demonstrated a higher MFV compared to TCD and ncTCCD (bias = -8 cm/s, p < 0.001; bias = -8 cm/s, p ≤ 0.001, respectively). TCCD is a practically applicable imaging technique in assessing MCA blood flow velocities. cTCCD is more accurate and tends to give higher MCA blood flow velocities than non-imaging TCD and ncTCCD techniques. ncTCCD is comparable to non-imaging TCD and should be considered in clinical cases where using both TCD and TCCD measurements is needed.

Predicting the functional outcome of intensive inpatient rehabilitation after stroke: results from the RIPS Study

BACKGROUND

The complexity of stroke sequelae, the heterogeneity of outcome measures and rehabilitation pathways, and the lack of extensively validated prediction models represent a challenge in predicting stroke rehabilitation outcomes.

AIM

To prospectively investigate a multidimensional set of variables collected at admission to inpatient post-stroke rehabilitation as potential predictors of the functional level at discharge.

DESIGN

Multicentric prospective observational study.

SETTING

Patients were enrolled in four Intensive Rehabilitation Units (IRUs).

POPULATION

Patients were consecutively recruited in the period December 2019-December 2020 with the following inclusion criteria: aged 18+, with ischemic/haemorrhagic stroke, and undergoing inpatient rehabilitation within 30 days from stroke.

METHODS

This is a multicentric prospective observational study. The rehabilitation pathway was reproducible and evidence-based. The functional outcome was disability in activities of daily living, measured by the modified Barthel Index (mBI) at discharge. Potential multidimensional predictors, assessed at admission, included demographics, event description, clinical assessment, functional and cognitive profile, and psycho-social domains. The variables statistically associated with the outcome in the univariate analysis were fed into a multivariable model using multiple linear regression.

RESULTS

A total of 220 patients were included (median [IQR] age: 80 [15], 112 women, 175 ischemic). Median mBI was 26 (43) at admission and 62.5 (52) at discharge. In the multivariable analysis younger age, along with better functioning, fewer comorbidities, higher cognitive abilities, reduced stroke severity, and higher motor functions at admission, remained independently associated with higher discharge mBI. The final model allowed a reliable prediction of discharge functional outcome (adjusted R2=77.2%).

CONCLUSIONS

The model presented in this study, based on easily collectable, reliable admission variables, could help clinicians and researchers to predict the discharge scores of the global functional outcome for persons enrolled in an evidence-based inpatient stroke rehabilitation program.

CLINICAL REHABILITATION IMPACT

A reliable outcome prediction derived from standardized assessment measures and validated treatment protocols could guide clinicians in the management of patients in the subacute phase of stroke and help improve the planning of the rehabilitation individualized project.

A systematic-search-and-review of registered pharmacological therapies investigated to improve neuro-recovery after a stroke

Background

Stroke burden is largely due to long-term impairments requiring prolonged care with loss of productivity. We aimed to identify and assess studies of different registered pharmacological therapies as treatments to improve post-stroke impairments and/or disabilities.

Methods

We performed a systematic-search-and-review of treatments that have been investigated as recovery-enhancing or recovery-promoting therapies in adult patients with stroke. The treatment must have received registration or market authorization in any country regardless of primary indication. Outcomes included in the review were neurological impairments and functional/disability assessments. "The best available studies" based on study design, study size, and/or date of publication were selected and graded for level of evidence (LOE) by consensus.

Results

Our systematic search yielded 7,801 citations, and we reviewed 665 full-text papers. Fifty-eight publications were selected as "the best studies" across 25 pharmacological classes: 31 on ischemic stroke, 21 on ischemic or hemorrhagic stroke, 4 on intracerebral hemorrhage, and 2 on subarachnoid hemorrhage (SAH). Twenty-six were systematic reviews/meta-analyses, 29 were randomized clinical trials (RCTs), and three were cohort studies. Only nimodipine for SAH had LOE A of benefit (systematic review and network meta-analysis). Many studies, some of which showed treatment effects, were assessed as LOE C-LD, mainly due to small sample sizes or poor quality. Seven interventions had LOE B-R (systematic review/meta-analysis or RCT) of treatment effects.

Conclusion

Only one commercially available treatment has LOE A for routine use in stroke. Further studies of putative neuroprotective drugs as adjunctive treatment to revascularization procedures and more confirmatory trials on recovery-promoting therapies will enhance the certainty of their benefit. The decision on their use must be guided by the clinical profile, neurological impairments, and target outcomes based on the available evidence.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=376973, PROSPERO, CRD42022376973.

A predictive model for social participation of middle-aged and older adult stroke survivors: the China Health and Retirement Longitudinal Study

Objective

This study aims to develop and validate a prediction model for evaluating the social participation in the community middle-aged and older adult stroke survivors.

Methods

The predictive model is based on data from the China Health and Retirement Longitudinal Study (CHARLS), which focused on individuals aged 45 years or older. The study utilized subjects from the CHARLS 2015 and 2018 wave, eighteen factors including socio-demographic variables, behavioral and health status, mental health parameters, were analyzed in this study. To ensure the reliability of the model, the study cohort was randomly split into a training set (70%) and a validation set (30%). The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to identify the most effective predictors of the model through a 10-fold cross-validation. The logistic regression model was employed to investigate the factors associated with social participation in stroke patients. A nomogram was constructed to develop a prediction model. Calibration curves were used to assess the accuracy of the nomogram model. The model's performance was evaluated using the area under the curve (AUC) and decision curve analysis (DCA).

Result

A total of 1,239 subjects with stroke from the CHARLS database collected in 2013 and 2015 wave were eligible in the final analysis. Out of these, 539 (43.5%) subjects had social participation. The model considered nineteen factors, the LASSO regression selected eleven factors, including age, gender, residence type, education level, pension, insurance, financial dependence, physical function (PF), self-reported healthy,cognition and satisfaction in the prediction model. These factors were used to construct the nomogram model, which showed a certain extent good concordance and accuracy. The AUC values of training and internal validation sets were 0.669 (95%CI 0.631-0.707) and 0.635 (95% CI 0.573-0.698), respectively. Hosmer-Lemeshow test values were p = 0.588 and p = 0.563. Calibration curves showed agreement between the nomogram model and actual observations. ROC and DCA indicated that the nomogram had predictive performance.

Conclusion

The nomogram constructed in this study can be used to evaluate the probability of social participation in middle-aged individuals and identify those who may have low social participation after experiencing a stroke.

Insomnia complaints correlated with higher risk of cognitive impairment in older adults following stroke: a National Representative Comparison Study

Although associations among insomnia, cognitive impairment, and stroke have been demonstrated, whether insomnia increases the risk of cognitive impairment after stroke remains unclear. The aim of this study was to examine whether insomnia complaints moderated the association between stroke and cognitive impairment in older adults. This study was a secondary data analysis that used data from the National Health Interview Survey 2009. A total of 447 older adults with a mean age of 74.63 years (50.1% men) were included. Self-reported insomnia and stroke occurrence were determined using a questionnaire. Cognitive impairment was assessed using the Mini-Mental State Examination. We used multivariate logistic regression to analyze the association between insomnia complaints and cognitive impairment. Participants were categorized into four groups: those with stroke and insomnia (58), those with stroke without insomnia (91), those without stroke with insomnia (116), and those without stroke or insomnia (182). The prevalence of insomnia complaints was 38.9%, and the frequency of poststroke cognitive impairment was 50.3%. After controlling for potential confounders, participants with stroke (with or without insomnia) had a significantly higher risk of cognitive impairment than those without stroke or insomnia (adjusted odds ratios: 4.16 and 2.91, 95% confidence intervals: 1.91-9.07 and 1.56-5.43, respectively). Stroke with or without insomnia complaints was associated with a higher risk of cognitive impairment relative to older adults without stroke or insomnia. The risk of cognitive impairment was the highest among participants with both stroke and insomnia.

Atrial fibrillation in embolic stroke of undetermined source: role of advanced imaging of left atrial function

AIMS

Atrial fibrillation (AF) is detected in over 30% of patients following an embolic stroke of undetermined source (ESUS) when monitored with an implantable loop recorder (ILR). Identifying AF in ESUS survivors has significant therapeutic implications, and AF risk is essential to guide screening with long-term monitoring. The present study aimed to establish the role of left atrial (LA) function in subsequent AF identification and develop a risk model for AF in ESUS.

METHODS AND RESULTS

We conducted a single-centre retrospective case-control study including all patients with ESUS referred to our institution for ILR implantation from December 2009 to September 2019. We recorded clinical variables at baseline and analysed transthoracic echocardiograms in sinus rhythm. Univariate and multivariable analyses were performed to inform variables associated with AF. Lasso regression analysis was used to develop a risk prediction model for AF. The risk model was internally validated using bootstrapping. Three hundred and twenty-three patients with ESUS underwent ILR implantation. In the ESUS population, 293 had a stroke, whereas 30 had suffered a transient ischaemic attack as adjudicated by a senior stroke physician. Atrial fibrillation of any duration was detected in 47.1%. The mean follow-up was 710 days. Following lasso regression with backwards elimination, we combined increasing lateral PA (the time interval from the beginning of the P wave on the surface electrocardiogram to the beginning of the A' wave on pulsed wave tissue Doppler of the lateral mitral annulus) [odds ratio (OR) 1.011], increasing Age (OR 1.035), higher Diastolic blood pressure (OR 1.027), and abnormal LA reservoir Strain (OR 0.973) into a new PADS score. The probability of identifying AF can be estimated using the formula. Model discrimination was good [area under the curve (AUC) 0.72]. The PADS score was internally validated using bootstrapping with 1000 samples of 150 patients showing consistent results with an AUC of 0.73.

CONCLUSION

The novel PADS score can identify the risk of AF on prolonged monitoring with ILR following ESUS and should be considered a dedicated risk stratification tool for decision-making regarding the screening strategy for AF in stroke.

Neurobiomechanical mechanism of Tai Chi to improve upper limb coordination function in post-stroke patients: a study protocol for a randomized controlled trial

BACKGROUND

Upper limb dysfunction seriously affects the ability of stroke patients to perform activities of daily living. As a popular exercise therapy, Tai Chi may become an alternative intervention. However, the neurophysiological mechanism by which Tai Chi improves upper limb dysfunction in stroke patients is still unclear, which limits its further promotion and application. Therefore, conducting a strict randomized clinical trial is necessary to observe how Tai Chi affects upper limb dysfunction in stroke patients and to explore its neurophysiological mechanism.

METHODS/DESIGN

This report describes a randomized, parallel-controlled trial with distributive concealment and evaluator blinding. A total of 84 eligible participants will be randomly assigned to the Tai Chi group or the control group in a 1:1 ratio. The participants in the Tai Chi group will receive 4 weeks of Tai Chi training: five 60-min sessions a week for a total of 20 sessions. The participants in the control group will not receive Tai Chi training. Both groups will receive medical treatment and routine rehabilitation training. The primary outcome measure is the mean change in the Fugl-Meyer Assessment Upper Extremity (FMA-UE) scale score between baseline and 4 weeks; the secondary outcomes are the mean changes in kinematic characteristics and the Wolf Motor Function Test (WMFT) and Stroke Impact Scale (SIS) scores. In addition, the corticomuscular coupling level and near-infrared brain functional imaging will be monitored to explore the mechanism by which Tai Chi improves upper limb function of stroke patients.

DISCUSSION

This randomized controlled trial will examine the effectiveness of Tai Chi in stroke patients with upper limb dysfunction and explore the neurophysiological mechanism. Positive results will verify that Tai Chi can improve upper limb function of stroke patients.

TRIAL REGISTRATION

Chinese Clinical Trial Registration Center, ChiCTR2200061376 (retrospectively registered). Registered June 22, 2022. http://www.chictr.org.cn/listbycreater.aspx . Manuscript Version: 3.0 Manuscript Date: October 10, 2023.

Interlimb Coordination during Double Support Phase of Gait in People with and without Stroke

This study aims to identify differences between participants with and without stroke regarding the ipsilesional and contralesional lower limbs kinematics, kinetics, muscle activity and their variability during double support phase of gait. Eleven post-stroke and thirteen healthy participants performed 10 gait trials at a self-selected speed while being monitored by an optoelectronic motion capture system, two force plates and an electromyographic system. The following outcomes were evaluated during the double support: the time and the joint position; the external mechanical work on the centre of mass; and the relative electromyographic activity. Both, contralesional/ipsilesional and dominant/non-dominant of participants with and without stroke, respectively, were evaluated during double support phase of gait in trailing or leading positions. The average value of each parameter and the coefficient of variation of the 10 trials were analysed. Post-stroke participants present bilateral decreased mechanical work on the centre of mass and increased variability, decreased contralesional knee and ankle flexion in trailing position, increased ipsilesional knee flexion in leading position and increased variability. Increased relative muscle activity was observed in post-stroke participants with decreased variability. Mechanical work on the centre of mass seems to be the most relevant parameter to identify interlimb coordination impairments in post-stroke subjects.