Survival within 12months after stroke in Madagascar.

The data on the long-term prognosis of stroke are scarce in Madagascar. Our objective was to determine survival within 12months after a stroke event. A longitudinal study was carried out on a hospital cohort of subjects with stroke in Mahajanga in western Madagascar. We included in the study all subjects admitted to adult emergencies at Mahajanga University Hospitals during the year 2019 and diagnosed with stroke. A follow-up by telephone call or by descent at the home of the patients was carried out after at least 12months from the onset of the disease. We analyzed in-hospital mortality and survival within 12months after the stroke. At the end of the study period, 144 stroke cases were retained. Strokes accounted for 5.07% of emergency admission causes. Male gender accounted for 51.4% of the population. The average age of the subjects was 60.7years. In-hospital mortality was 32.6%. Survival at 1month was 50%, at 3months 48.4%, and at 12months 43%. High blood pressure was found as a risk factor for stroke in 79.9% of patients, 76.5% of whom were undertreated. Stroke mortality was high in our population. Most of the deaths occurred during the first month. Improved prevention and care are needed in Madagascar.

Shifts in Clinical Characteristics, Treatment, and Outcome for Rheumatic Mitral Stenosis: Insights From a 20-Year Multicentre Registry Study in Korea.

BACKGROUND: The rapid economic development of South Korea provides a unique model to study changes in the clinical characteristics, treatment approaches, and clinical outcomes of patients with rheumatic mitral stenosis (MS) relative to socioeconomic growth. METHODS: From the Multicenter mitrAl STEnosis with Rheumatic etiology (MASTER) registry, 2,337 patients diagnosed with moderate or severe rheumatic MS between January 2001 and December 2020 were analyzed. Patients were grouped into consecutive 5-year intervals based on their year of diagnosis. Clinical characteristics, echocardiographic data, and clinical outcomes were assessed. RESULTS: Over 20 years, the severity of mitral stenosis increased from 79.1% to 90.2%; similarly, the average age at diagnosis increased from 54.3 to 63.0 years (all P < 0.001). Comorbidities such as hypertension and atrial fibrillation increased (6.3% to 29.5% and 41.4% to 46.9%, respectively; all P for trend < 0.05). The rate of mitral intervention within five years after diagnosis increased from 31.2% to 47.4% (P for trend < 0.001). However, clinical outcomes of rheumatic mitral stenosis deteriorated over time in the composite outcomes (log-rank test, P < 0.001). Conversely, the incidence of stroke remained stable (60.6-73.7%; P < 0.001), which might be attributed to the increased use of anticoagulation therapy. CONCLUSION: This study observed an increase in patient age, comorbidities, and valve disease severity as the country transitioned from a developing to developed status. Despite a rise in mitral valve interventions, clinical outcomes deteriorated over 20 years, highlighting the need for modified treatment approaches to improve patient outcomes.

Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke.

BACKGROUND: Posterior Circulation Syndrome (PCS) presents a diagnostic challenge characterized by its variable and nonspecific symptoms. Timely and accurate diagnosis is crucial for improving patient outcomes. This study aims to enhance the early diagnosis of PCS by employing clinical and demographic data and machine learning. This approach targets a significant research gap in the field of stroke diagnosis and management. METHODS: We collected and analyzed data from a large national Stroke Registry spanning from January 2014 to July 2022. The dataset included 15,859 adult patients admitted with a primary diagnosis of stroke. Five machine learning models were trained: XGBoost, Random Forest, Support Vector Machine, Classification and Regression Trees, and Logistic Regression. Multiple performance metrics, such as accuracy, precision, recall, F1-score, AUC, Matthew's correlation coefficient, log loss, and Brier score, were utilized to evaluate model performance. RESULTS: The XGBoost model emerged as the top performer with an AUC of 0.81, accuracy of 0.79, precision of 0.5, recall of 0.62, and F1-score of 0.55. SHAP (SHapley Additive exPlanations) analysis identified key variables associated with PCS, including Body Mass Index, Random Blood Sugar, ataxia, dysarthria, and diastolic blood pressure and body temperature. These variables played a significant role in facilitating the early diagnosis of PCS, emphasizing their diagnostic value. CONCLUSION: This study pioneers the use of clinical data and machine learning models to facilitate the early diagnosis of PCS, filling a crucial gap in stroke research. Using simple clinical metrics such as BMI, RBS, ataxia, dysarthria, DBP, and body temperature will help clinicians diagnose PCS early. Despite limitations, such as data biases and regional specificity, our research contributes to advancing PCS understanding, potentially enhancing clinical decision-making and patient outcomes early in the patient's clinical journey. Further investigations are warranted to elucidate the underlying physiological mechanisms and validate these findings in broader populations and healthcare settings.

Symptoms at stroke onset as described by patients: a qualitative study.

BACKGROUND: Stroke is a common and severe disease that requires prompt care. Symptom expressions as one-sided weakness and speech difficulties are common and included in public stroke campaigns. For some patients stroke can present with subtle and less common symptoms, difficult to interpret. The symptom severity assessed by the National Institutes of Health Stroke Scale has decreased, and symptoms at onset may have changed. Therefore, we aimed to investigate how patients describe their symptoms at the onset of a first-time stroke. METHODS: The study used a qualitative descriptive design and conventional content analysis. Data were collected through recorded interviews with 27 patients aged 18 years and older hospitalised with a first-time stroke between October 2018 and April 2020. Data were analysed on a manifest level. RESULTS: Symptoms at stroke onset were presented in two themes: Altered Reality and Discomfort and Changed Body Functions and described in five categories. Various types of symptoms were found. All symptoms were perceived as sudden, persistent, and never experienced before and this appear as a "red thread" in the result. Regardless of symptom expressions, no specific symptom was described as more severe than another. CONCLUSIONS: Stroke symptoms were described with a variety of expressions. Many described complex symptoms not typical of stroke, which can make it difficult to recognise the symptoms as a stroke and delay medical care. Public stroke campaigns should emphasize the importance of seeking medical care at the slightest suspicion of stroke and could be designed to help achieve this.

Stroke and Transient Ischemic Attack.

Cerebrovascular disease is a common and potentially life-threatening illness if not triaged and/or treated appropriately. The diagnosis is made based on a combination of clinical history and neuroimaging studies. The majority of strokes can be prevented, and this process often begins in the primary care office through the careful assessment of vascular risk factors. Appropriate workup aims to pinpoint a pathogenic mechanism and guide therapy. Stroke treatment has rapidly advanced over the past several years, resulting in improved outcomes.

Large variations in atrial fibrillation screening practice after ischemic stroke and transient ischemic attack in Sweden: a survey study.

BACKGROUND: Atrial fibrillation (AF) screening after ischemic stroke or transient ischemic attack (TIA) is given high priority in clinical guidelines. However, patient selection, electrocardiogram (ECG) modality and screening duration remains undecided and current recommendations vary. METHODS: The aim of this study was to investigate the clinical practice of AF screening after ischemic stroke or TIA at Swedish stroke units. In collaboration with the stakeholders of the Swedish Stroke Register (Riksstroke) a digital survey was drafted, then tested and revised by three stroke consultants. The survey consisted of 17 multiple choice/ free text questions and was sent by e-mail to the medical directors at all stroke units in Sweden. RESULTS: All 72 stroke units in Sweden responded to the survey. Most stroke units reported that ≥ 75% of ischemic stroke (69/72 stroke units) or TIA patients (67/72 stroke units), without previously known AF, were screened for AF. Inpatient telemetry ECG was the method of first-choice in 81% of the units, but 7% reported lack of access. A variety of standard monitoring durations were used for inpatient telemetry ECG. The second most common choice was Holter ECG (17%), also with considerable variations in monitoring duration. Other AF screening modalities were used as a first-choice method (handheld and patch ECG) but less frequently. CONCLUSIONS: Clinical practice for AF screening after ischemic stroke or TIA differed between Swedish stroke units, both in choice of AF screening methods as well as in monitoring durations. There is an urgent need for evidence and evidence-based recommendations in this field. TRIAL REGISTRATION: Not applicable.

Effects of task-based mirror therapy on upper limb motor function in hemiplegia: study protocol for a randomized controlled clinical trial.

BACKGROUND AND PURPOSE: Research to date has lacked definitive evidence to determine whether mirror therapy promotes the recovery of upper extremity function after stroke. Considering that previous studies did not stratify patients based on structural retention, this may be one of the reasons for the negative results obtained in many trials. The goal evaluates the efficacy of TBMT (utilizing an innovatively designed mirror) versus standard occupational therapy for stroke patient's upper limb functionality. METHODS AND ANALYSIS: This single-center randomized controlled trial will involve 50 patients with stroke. All patients will be randomly assigned to either the task-based mirror therapy or the control group. The interventions will be performed 5 days per week for 4 weeks. The primary outcomes will be the mean change in scores on both the FMA-UE and modified Barthel Index (MBI) from baseline to 4 weeks intervention and at 12 weeks follow-up between the two groups and within groups. The other outcomes will include the Action Research Arm Test (ARAT), the Nine Hole Peg Test (9HPT), the Functional Independence Measure, and MRI. DISCUSSION: This trial will not only to establish that task-based mirror therapy (TBMT) could improve the recovery of hand function after stroke but also to explore the underlying mechanisms. We expect that this finding will clarify the brain activation and brain network mechanisms underlying the improvement of hand function with task-oriented mirror therapy and lead to new ideas for stroke hand function rehabilitation. TRIAL REGISTRATION: URL: https://www.chictr.org.cn ; Unique identifier: ChiCTR2300068855. Registered on March 1, 2023.

Prehospital identification of intracerebral haemorrhage: a scoping review of early clinical features and portable devices.

INTRODUCTION: Prehospital identification of intracerebral haemorrhage (ICH) in suspected stroke cases may enable the initiation of appropriate treatments and facilitate better-informed transport decisions. This scoping review aims to examine the literature to identify early clinical features and portable devices for the detection of ICH in the prehospital setting. METHODS: Three databases were searched via Ovid (MEDLINE, EMBASE and CENTRAL) from inception to August 2022 using prespecified search strategies. One reviewer screened all titles, abstracts and full-text articles for eligibility, while a second reviewer independently screened 20% of the literature during each screening stage. Data extracted were tabulated to summarise the key findings. RESULTS: A total of 6803 articles were screened for eligibility, of which 22 studies were included for analysis. Among them, 15 studies reported on early clinical features, while 7 considered portable devices. Associations between age, sex and comorbidities with the presence of ICH varied across studies. However, most studies reported that patients with ICH exhibited more severe neurological deficits (n=6) and higher blood pressure levels (n=11) at onset compared with other stroke and non-stroke diagnoses. Four technologies were identified for ICH detection: microwave imaging technology, volumetric impedance phase shift spectroscopy, transcranial ultrasound and electroencephalography. Microwave and ultrasound imaging techniques showed promise in distinguishing ICH from other diagnoses. CONCLUSION: This scoping review has identified potential clinical features for the identification of ICH in suspected stroke patients. However, the considerable heterogeneity among the included studies precludes meta-analysis of available data. Moreover, we have explored portable devices to enhance ICH identification. While these devices have shown promise in detecting ICH, further technological development is required to distinguish between stroke subtypes (ICH vs ischaemic stroke) and non-stroke diagnoses.

Long-term survival in stroke patients: insights into triglyceride-glucose body mass index from ICU data.

BACKGROUND: The Triglyceride Glucose-Body Mass Index (TyG-BMI) has been established as a robust indicator of insulin resistance (IR), reflecting metabolic health across various populations. In general, lower TyG-BMI values are often associated with better metabolic health outcomes and a reduced risk of adverse health events in non-critically ill populations. Previous studies have highlighted a significant negative association between TyG-BMI and all-cause mortality (ACM) among critically ill atrial fibrillation patients. Given the high prevalence and severe outcomes associated with stroke, understanding how TyG-BMI at the time of ICU admission correlates with ACM in critically ill stroke patients becomes imperative. This study aims to assess the correlation between TyG-BMI and ACM in this specific patient cohort, exploring how traditional associations between TyG-BMI and metabolic health may differ in the context of acute, life-threatening illness. METHODS: Patient data were retrieved by accessing the Medical Information Mart for Intensive Care IV (MIMIC-IV 2.2) database, categorizing patients into three groups on the basis of TyG-BMI tertiles. The study evaluated both primary and secondary outcomes: the primary outcomes included the 90-day, 180-day, and 1-year ACM, while secondary outcomes encompassed ICU, in-hospital, and 30-day ACM. Our study employed the Kaplan-Meier (K-M) curve method for outcome comparison across the groups while utilizing multivariate Cox proportional-hazards regression models and restricted cubic splines (RCS) to explore TyG-BMI association with these outcomes. Additionally, interaction and subgroup analyses were performed, focusing on different mortality time points. RESULTS: Among a cohort of 1707 individuals diagnosed with stroke, the average age was 68 years (interquartile range [IQR]: 58-78 years), with 946 (55.42%) of the participants being male. The analysis of K-M curves suggested that patients having a lower TyG-BMI level faced a heightened risk of long-term ACM, whereas the short-term ACM exhibited no statistically significant differences across the three TyG-BMI groups. Furthermore, Cox proportional-hazards regression analysis validated a statistically significant increased risk of long-term ACM among patients belonging to the lowest TyG-BMI tertile. Additionally, RCS analysis results demonstrated L-shaped correlations between the TyG-BMI index and both short- and long-term ACM. These findings underscore the TyG-BMI predictive value for long-term mortality in stroke patients, highlighting a nuanced relationship that varies over different time frames. The results revealed no interactions between TyG-BMI and the stratified variables, with the exception of age. CONCLUSION: In our study, lower TyG-BMI levels in critically ill stroke patients are significantly related to a higher risk of long-term ACM within the context of the United States. This finding suggests the potential of TyG-BMI as a marker for stratifying long-term risk in this patient population. However, it's crucial to note that this association was not observed for short-term ACM, indicating that the utility of TyG-BMI may be more pronounced in long-term outcome prediction. Additionally, our conclusion that TyG-BMI could serve as a reliable indicator for managing and stratifying stroke patients over the long term is preliminary. To confirm our findings and assess the universal applicability of TyG-BMI as a prognostic tool, it is crucial to conduct rigorously designed research across various populations.

Rare instances of concomitant acute myocardial infarction and stroke.

Cardio-cerebral infarction (CCI) is a term coined to describe concomitant myocardial infarction and acute ischemic stroke. Acute myocardial infarction and stroke, as separate events, constitute some of the most important causes for disability and mortality in aging societies. Stroke can either occur simultaneously with myocardial infarction or become a serious complication of myocardial infarction and/or its treatment. The frequency of CCI has been reported at a 0.009% incidence rate in stroke patients and is associated with an extremely high mortality. Because of the rare occurrence of CCI, there are currently no guidelines for assessing its diagnosis and optimal treatment. Therefore, currently, the management of CCI cases needs to be individualized. Hopefully, in the future, the results of large clinical trials or prospective registries are expected to enhance our understanding of managing concomitant acute MI and stroke. In this review we have focused on the current literacy in the diagnosis and treatment of CCIs. The paper illustrates potential distinct scenarios of CCI through the analysis of three patient cases (Fig. 5, Ref. 65). Text in PDF www.elis.sk Keywords: myocardial infarction, stroke, cardio-cerebral infarction, carotid artery stenting, cardiac surgery.

Incidence and predictors of post-stroke cognitive impairment among patients admitted with first stroke at tertiary hospitals in Dodoma, Tanzania: A prospective cohort study.

INTRODUCTION: Stroke survivors develop cognitive impairment, which significantly impacts their quality of life, their families, and the community as a whole but not given attention. This study aims to determine the incidence and predictors of post-stroke cognitive impairment (PSCI) among adult stroke patients admitted to a tertiary hospital in Dodoma, Tanzania. METHODOLOGY: A prospective cohort study was conducted at tertiary hospitals in the Dodoma region, central Tanzania. A sample size of 158 participants with the first stroke confirmed by CT/MRI brain aged ≥ 18 years met the criteria. At baseline, social-demographic, cardiovascular risks and stroke characteristics were acquired, and then at 30 days, participants were evaluated for cognitive functioning using Montreal Cognitive Assessment (MoCA). Key confounders for cognitive impairment, such as depression and apathy, were evaluated using the Personal Health Questionnaire (PHQ-9) and Apathy Evaluation Scale (AES), respectively. Descriptive statistics were used to summarise data; continuous data were reported as Mean (SD) or Median (IQR), and categorical data were summarised using proportions and frequencies. Univariate and multivariable logistic regression analysis was used to determine predictors of PSCI. RESULTS: The median age of the 158 participants was 58.7 years; 57.6% of them were female, and 80.4% of them met the required criteria for post-stroke cognitive impairment. After multivariable logistic regression, left hemisphere stroke (AOR: 5.798, CI: 1.030-32.623, p = 0.046), a unit cm3 increase in infarct volume (AOR: 1.064, 95% CI: 1.018-1.113, p = 0.007), and apathy symptoms (AOR: 12.259, CI: 1.112-89.173, p = 0.041) had a significant association with PSCI. CONCLUSION: The study revealed a significant prevalence of PSCI; early intervention targeting stroke survivors at risk may improve their outcomes. Future research in the field will serve to dictate policies and initiatives.

The factors influencing the occurrence of post-ischemic stroke depression and its relationship with the burden score of cerebral small vessel disease.

OBJECTIVE: This study explored the determinants of post-stroke depression (PSD) in ischemic stroke (AIS) patients and its association with the burden score of cerebral small vessel disease (CSVD). PATIENTS AND METHODS: We analyzed 374 AIS patients treated between January 2020 and January 2022. Patients were categorized into 90 with PSD and 284 without PSD, enabling an investigation into PSD risk factors and the CSVD-PSD relationship. RESULTS: There was no significant difference in health factors between PSD and non-PSD patients (p>0.05). However, significant disparities were noted in age, gender, initial Barthel Index (BI), Mini-Mental State Examination (MMSE) score, plasma fibrinogen, homocysteine, red cell distribution width, National Institutes of Health Stroke Scale (NIHSS) score, and CSVD burden score (p<0.05). Regression analysis indicated that these variables were pivotal PSD predictors (OR>1, p<0.05). Surprisingly, a positive correlation with PSD occurrence was found for age, NIHSS score, plasma fibrinogen, homocysteine levels, red cell distribution width, CSVD burden score (r=0.565, 0.615, 0.482, 0.514, 0.572, 0.608, respectively; p<0.05). Meanwhile, the MMSE score and BI index were inversely related to PSD onset (r=-0.604, -0.590; p<0.05). The ROC curve analysis of the combination model based on MMSE, NIHSS and CSVD score revealed an AUC of 0.926 and Youden's index of 0.744. CONCLUSIONS: Age, MMSE score, BI index, NIHSS score, plasma fibrinogen concentration, homocysteine level, red blood cell distribution width, and CSVD burden score are all major influencing factors in the occurrence of PSD. The combination model based on MMSE, NIHSS, and CSVD scores presented a valuable approach to predicting PSD.

National Institutes of Health Stroke Scale Reporting in Medicare Claims Data: Reporting in the First 3 Years.

BACKGROUND: Since 2016, hospitals have been able to document International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for the National Institutes of Health Stroke Scale (NIHSS). As of 2023, the Centers for Medicare & Medicaid Services uses NIHSS as a risk adjustment variable. We assessed associations between patient- and hospital-level variables and contemporary NIHSS reporting. METHODS: We performed a retrospective cross-sectional analysis of 2019 acute ischemic stroke admissions using deidentified, national 100% inpatient Medicare Fee-For-Service data sets. We identified index acute ischemic stroke admissions using the ICD-10-CM code I63.x and abstracted demographic information, medical comorbidities, hospital characteristics, and NIHSS. We linked Medicare and Mount Sinai Health System (New York, NY) registry data from 2016 to 2019. We calculated NIHSS documentation at the patient and hospital levels, predictors of documentation, change over time, and concordance with local data. RESULTS: There were 231 383 index acute ischemic stroke admissions in 2019. NIHSS was documented in 44.4% of admissions and by 66.5% of hospitals. Hospitals that documented ≥1 NIHSS were more commonly teaching hospitals (39.0% versus 5.5%; standardized mean difference score, 0.88), stroke certified (37.2% versus 8.0%; standardized mean difference score, 0.75), higher volume (mean, 80.8 [SD, 92.6] versus 6.33 [SD, 14.1]; standardized mean difference score, 1.12), and had intensive care unit availability (84.9% versus 23.2%; standardized mean difference score, 1.57). Adjusted odds of documentation were lower for patients with inpatient mortality (odds ratio, 0.64 [95% CI, 0.61-0.68]; P<0.0001), in nonmetropolitan areas (odds ratio, 0.49 [95% CI, 0.40-0.61]; P<0.0001), and male sex (odds ratio, 0.95 [95% CI, 0.93-0.97]; P<0.0001). NIHSS was documented for 52.9% of Medicare cases versus 93.1% of registry cases, and 74.7% of Medicare NIHSS scores equaled registry admission NIHSS. CONCLUSIONS: Missing ICD-10-CM NIHSS data remain widespread 3 years after the introduction of the ICD-10-CM NIHSS code, and there are systematic differences in reporting at the patient and hospital levels. These findings support continued assessment of NIHSS reporting and caution in its application to risk adjustment models.

Risk Burden of Cancer in Patients Treated With Abbreviated Dual Antiplatelet Therapy After PCI: Analysis of Multicenter Controlled High-Bleeding Risk Trials.

BACKGROUND: Oncological patients with coronary artery disease face an elevated risk of hemorrhagic and ischemic events following percutaneous coronary intervention. Despite medical guidelines recommending minimal dual antiplatelet therapy (DAPT) duration for patients with cancer, dedicated data on abbreviated DAPT in this population is lacking. This study aims to evaluate the occurrence of ischemic and hemorrhagic events in patients with cancer compared with other high-bleeding risk individuals. METHODS: Patient-level data from 4 high-bleeding risk coronary drug-eluting stent studies (ONYX One, LEADERS FREE, LEADERS FREE II, and SENIOR trials) treated with short DAPT were analyzed. The comparison focused on patients with high-bleeding risk with and without cancer, assessing 1-year rates of net adverse clinical events (all-cause death, myocardial infarction, stroke, revascularization, and Bleeding Academic Research Consortium [BARC] types 3 to 5 bleeding) and major adverse clinical events (all-cause death, myocardial infarction, stroke). RESULTS: A total of 5232 patients were included, of whom 574 individuals had cancer, and 4658 were at high-bleeding risk without previous cancer. Despite being younger with fewer risk factors, patients with cancer had higher net adverse clinical event (HR, 1.25; P=0.01) and major adverse clinical event (HR, 1.26; P=0.02), primarily driven by all-cause mortality and major bleeding (BARC 3-5), but not myocardial infarction, stroke, stent thrombosis, or repeat revascularization. Cancer was an independent predictor of net adverse clinical event (P=0.005), major adverse clinical event (P=0.01), and major bleeding (P=0.03). CONCLUSIONS: The present work is the first report on abbreviated DAPT dedicated to patients with cancer. Cancer is a major marker of adverse outcomes and these events had high lethality. Despite short DAPT, patients with cancer experienced higher rates of major bleeding compared with patients without cancer with high-bleeding risk, which occurred mainly after DAPT discontinuation. These findings reinforce the need for a more detailed and individualized stratification of those patients. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifiers: NCT03344653, NCT01623180, NCT02843633, NCT0284.

A Systematic Review and Meta-Analysis of the Predictive Power of China-PAR Against Cardiovascular Disease.

Background and Purpose: To evaluate the predictive power of the China-PAR model for cardiovascular disease (CVD).Methods: Dominate databases, including PubMed, Web of Science, CNKI, Wanfang Data Knowledge Service Platform, Chinese Biomedical Literature Service System, and VIP self-built database, were searched from January 1, 2016 to February 22, 2022. The primary outcome included observed events and predicted events by China-PAR. Meta-analysis was performed using RevMan 5.3 software. Stroke, arteriosclerotic cardiovascular disease (ASCVD), male, and female were divided into subgroup analyses. Funnel plots were used to assess publication bias.Results: A total of nine studies, which included 221,918 participants, were analyzed. Meta-analysis showed the combined observed incidence of CVD was 3.97%, and the combined predicted incidence was 9.59% by China-PAR. There was no significant difference between the observed and the predicted events. Subgroup analysis showed there was no statistical significance between the observed and the predicted events for stroke or for ASCVD. The difference between the observed and the predicted events by China-PAR was not statistically significant in either males or females.Conclusions: China-PAR model has important public health significance to further improve the primary prevention strategy of CVD.

Comprehensive portrait of stroke fellowship training in Brazil: A national survey study.

BACKGROUND AND OBJECTIVES: The field of vascular neurology has undergone significant advances over the last decade, and care has become more complex. However, vascular neurology training programs remain underdeveloped in many countries, despite stroke impact on health care. There are efforts towards building a nationally regulated curricula in some countries. Still, comprehensive planning and implementation of these programs may be needed on a global scale, especially in countries where stroke treatment is not fully implemented. We aim to comprehensively analyze vascular neurology trainees' profiles in Brazil to describe training program contents from trainees and program directors' perspectives. METHODS: We performed an observational, cross-sectional, web-based survey study to describe trainee and program-specific characteristics at vascular neurology fellowship training programs in Brazil. The study was conducted from June to September 2023 using a secure web-based survey sent to active fellows and program directors from all known vascular neurology fellowship programs in the country. All respondents were required to provide informed consent. RESULTS: We obtained a 100 % response rate of a total of 12 programs distributed in 7 federal states. Notably, 57 % of the 28 surveyed fellows were women, 60 % were aged 25-30, and 70 % self-identified as White. All fellows had prior neurology training, and 60 % engaged in the program just following residency. Exposure to various training experiences was favorable, except for simulation-based learning and telestroke training. Program directors perceived exposure to be sufficient for most components but similarly found deficiencies in telestroke and simulation-based learning. Scientific productivity was low, with about two-thirds of fellows having no publications or abstracts. Most fellows (92.6 %) reported performing non-fellowship medical activities to supplement their incomes. DISCUSSION: In conclusion, the number of vascular neurology training programs and trainees in Brazil is currently insufficient and exhibits an uneven geographic distribution. Despite this, the clinical training provided is extensive, and there is generally some funding available for fellows. These insights highlight the need for strategic improvements in Brazil's stroke education and could inform similar developments in other nations.

Reliability of proxy reports on patient reported outcomes measures in stroke: An updated systematic review.

OBJECTIVES: With the rising global burden of stroke-related morbidity, and increased focus on patient-centered healthcare, patient reported outcome measures (PROMs) are increasingly used to inform healthcare decision-making. Some stroke patients with cognitive or motor impairments are unable to respond to PROMs, so proxies may respond on their behalf; the reliability of which remains unclear. The aim of the study is to update a 2010 systematic review to investigate the inter-rater reliability of proxy respondents answering PROMs for stroke patients. MATERIALS AND METHODS: Studies on the reliability of proxy respondents in stroke were searched within CINAHL, Embase, PsycInfo, and WoS databases (01/07/22, 08/07/22). Fifteen studies were included for review. ICC and k-statistic were extracted for PROMs scales and categorized as poor (0.80). Bias was assessed using the CCAT. RESULTS: Five studies reported PROMs with inter-rater reliability scores ranging from 0.80. Two studies reported activities of daily living (ADLs) scores ranging from 0.41 to 0.80 and 8 studies reported quality of life (QoL) measures with scores ranging from 0.80. Subcategories of these scales included physical (ICC/k-statistic 0.41- >0.8), cognitive (ICC/k-statistic 0.40-0.80), communication (ICC/k-statistic <0.4-0.80,) and psychological (ICC/k-statistic <0.40-0.60) measures. CONCLUSIONS: Proxy respondents are reliable sources for PROM reports on physical domains in ADLs, PROMs and QoL scales. Proxy reports for measures of communication and psychological domains had greater variability in reliability scores, ranging from poor to substantial; hence, caution should be applied when interpreting proxy reports for these domains.

Diagnostic challenges of focal neurological deficits during an acute take-Is this vascular?: Clinical hints, pearls and pitfalls.

Stroke and TIAs are amongst the common neurological presentations encountered by specialists and non-specialist health care providers. Despite the advances of neuroimaging techniques, clinicians are frequently faced with diagnostic challenges on evaluation of patients with suspected stroke. In this review, we discuss the characteristic features of cerebrovascular diseases and how to identify them. We also aim to provide a resource for non-stroke specialist clinicians to help them to correctly identify the symptoms and signs of disorders that may masquerade as stroke such as migraine, seizure, and functional disorder, and at the same time we explore how we can identify strokes that present atypically.

Predictors of post stroke cognitive impairment: VITATOPS cognition substudy.

INTRODUCTION: Post stroke cognitive impairment (PSCI) is a common complication of ischemic stroke. PSCI can involve different depending on clinical and stroke related characteristics. The aim of this study is to determine the factors associated with impairments in specific cognitive domains. METHODS: The Vitamins to Prevent Stroke (VITATOPS) trial is a large, multinational randomised controlled trial. In this substudy, consecutive patients admitted for ischaemic stroke or transient ischaemic attack (TIA) at a tertiary hospital in Singapore were included. PSCI was defined as impairment of any of the six cognitive subgroups - visuoconstruction, attention, verbal memory, language, visual memory and visuomotor function - that were assessed annually for up to five years. Univariate and multivariate Cox proportional hazard models were used to determine factors associated with impairments in each of these cognitive domains. RESULTS: A total of 736 patients were included in this study, of which 173 (23.5 %) developed cognitive impairment. Out of the six cognitive domains, the greatest proportion of patients had an impairment in visuoconstruction (26.4 %) followed by attention (19.8 %), verbal memory (18.3 %), language (17.5 %), visual memory (17.3 %) and visuomotor function (14.8 %). Patients with posterior circulation cerebral infarction (POCI) as the index stroke subtype had higher rates of cognitive impairment. Further subgroup analyses show that Indian race and advanced age were predictive of language impairment, whilst fewer years of education and POCI were predictive of verbal memory impairment. POCI was predictive of visual memory impairment, and advanced age and POCI were predictive of visuomotor function impairment. CONCLUSION: We identified visuoconstruction and attention domains to be the most affected in our Asian cohort of PSCI. Advanced age, lower levels of education, posterior circulation strokes and concomitant comorbidities such as peripheral artery disease are independent predictors of PSCI.