Stroke Characteristics Research Articles

Relationship between the Injury Location and Swallowing Difficulty among Stroke Patients, A Retrospective Cohort Study

Post-stroke dysphagia (PSD), a neurological or mechanical disorder that hinders food transport from the oral cavity to the stomach. It has been widely associated with severe complications with higher mortality and morbidity rates. Traditional therapies for the treatment of dysphagia mainly focused on compensatory methods and behavioural rehabilitation approaches. The retrospective cohort study aimed to determine the association and correlation between developments of dysphagia in relation to the location of the stroke and to identify the swallowing recovery period following the stroke. A retrospective cohort study investigated swallowing difficulties in 64 stroke patients at an ambulatory care centre over a year. Data collection involved reviewing medical records and imaging reports, with analyses conducted using SPSS software, ANOVA and chi-square methods to assess associations between injury location and swallowing difficulty. Hemorrhagic stroke was more prevalent (65.6%) than ischemic stroke (34.4%). A significant association was found between gender and stroke type, with males exhibiting a higher prevalence of ischemic strokes (71.4%) compared to females (29.8%). Age differences between stroke types, gender and affected swallowing phases and stroke type and affected swallowing phase revealed no significant associations. Distinct differences were noted in swallowing difficulties across stroke types. Furthermore, recovery time varied depending on the intervention method, with speech therapy linked to shorter recovery periods. The study underscores the importance of considering gender and stroke-type-specific differences in stroke prevalence, age distribution, and swallowing difficulties. These findings contribute valuable insights to understanding stroke characteristics and their implications for clinical management and rehabilitation strategies.

Glycyrrhetinic acid triggers a protective autophagy by inhibiting the JAK2/STAT3 pathway in cerebral ischemia/reperfusion injury

Cerebral ischemia/reperfusion injury (CIRI) is a common feature of ischemic stroke leading to a poor prognosis. Effective treatments targeting I/R injury are still insufficient. The study aimed to investigate the mechanisms, by which glycyrrhizic acid (18β-GA) in ameliorates CIRI. Our results showed that 18β-GA significantly decreased the infarct volume, neurological deficit scores, and pathological changes in the brain tissue of rats after middle cerebral artery occlusion. Western blotting showed that 18β-GA inhibited the expression levels of phosphorylated JAK2 and phosphorylated STAT3. Meanwhile, 18β-GA increased LC3-II protein levels in a reperfusion duration-dependent manner, which was accompanied by an increase in the Bcl-2/Bax ratio. Inhibition of 18β-GA-induced autophagy by 3-methyladenine (3-MA) enhanced apoptotic cell death. In addition, 18β-GA inhibited the JAK2/STAT3 pathway, which was largely activated in response to oxygen-glucose deprivation/reoxygenation. However, the JAK2/STAT3 activator colivelin TFA abolished the inhibitory effect of 18β-GA, suppressed autophagy, and significantly decreased the Bcl-2/Bax ratio. Taken together, these findings suggested that 18β-GA pretreatment ameliorated CIRI partly by triggering a protective autophagy via the JAK2/STAT3 pathway. Therefore might be a potential drug candidate for treating ischemic stroke.

Which Acute Stroke Patients can Walk while Returning Home? Factors Predicting Ambulation.

Regaining gait is the primary goal in stroke rehabilitation. In this study, we aimed to investigate the effect of premorbid features of acute stroke patients on the ambulatory level. The study included 174 patients who applied to our rehabilitation clinic within the first month after the onset of stroke. Demographic characteristics of patients, pre-stroke symptoms, and stroke characteristics were questioned from patient files and historical data. The ambulation levels of patients before and after rehabilitation were evaluated with the functional ambulation category. The relationship between demographic characteristics, pre-stroke symptoms, stroke characteristics, and ambulation levels of patients before and after rehabilitation was examined. The presence of coronary heart diseases, atrial fibrillation, and nausea/vomiting before stroke were independent negative risk factors on both pre- and post-rehabilitation ambulation levels (P < 0.05). Additionally, advanced age, oxygen, and mechanical ventilation requirement were other negative independent risk factors on post-rehabilitation ambulation levels (P < 0.05). Knowing some of the pre-stroke characteristics of patients while applying rehabilitation programs may be useful in estimating the ambulatory levels on returning home.

THE OUTCOME OF COGNITIVE THERAPY IN PATIENTS WITH FIRST-EVER STROKE AND RECURRENT STROKE

Background: Vascular dementia (VaD) is the second most prevalent type of dementia that impacts elderly adults, succeeding Alzheimer's disease. In contrast to Alzheimer's disease, Vascular Dementia (VaD) presents a wide range of cognitive changes, which are greatly influenced by the specific neural regions that are impacted by vascular pathology. The incidence of dementia in adults with a prior history of stroke is 30%, demonstrating a frequency that is 3-5 times more than those without any discernible stroke-related impairments. In addition, the intensity or frequency of strokes may contribute to a decrease in cognitive reserve in persons with vascular dementia. Case Report: We presented two cases of VaD. The first case was a 62-year-old man with a history of ischemic stroke without sequelae a year before the complaints of frequent forgetfulness and cognitive impairment. Neuropsychological examination showed neurocognitive disturbances in orientation, attention, memory, and visuospatial domain with impaired daily activities function. The MRI result showed senile brain atrophy with chronic infarction on the right temporoparietooccipital lobe, left side mesencephalon, right side pons accompanied by cortical laminar necrosis on the right frontal lobe and left temporoparietal lobe. The second case was a 79-year-old man with history of recurrent ischemic stroke (three times since 2021-2022) with sequelae of left hemiparesis and complaints of frequent forgetfulness and cognitive impairment in the last 1 year. Neuropsychological examination showed neurocognitive disturbances in orientation, attention, and visuospatial domain with impaired daily activities function. The MRI result showed subacute multiple lacunar infarctions in right insular cortex, right frontotemporal lobe cortex, right corona radiata, with multiple chronic infarcts on the right frontotemporoparietal lobe, right corona radiata, right internal genu capsule, right lateral periventricular anterior horn, pons, right left cerebellum, also senile brain atrophy. Both patients were diagnosed as VaD and given donepezil 1x10mg and memantine 1x5mg to treat the cognitive impairment. Both cases showed improvements after 6 months of therapy with MMSE from 17 to 28, MoCA-INA from 12 to 22 and MMSE from 19 to 23, MoCA-INA from 14 to 21 respectively. Discussion: The probability of acquiring vascular dementia (VaD) was strongly associated with the incidence and frequency of strokes. The prevalence of newly developed dementia after the initial stroke is approximately 10%, which increases to 30% with recurrent strokes. The likelihood of experiencing cognitive impairment and dementia after a stroke is primarily determined by the specific attributes of the stroke. While pharmacological therapy largely focuses on cognitive impairment, other factors, such as the stroke's characteristics, might contribute to neuronal and molecular abnormalities that result in cognitive loss. Two instances were shown, both demonstrating enhancements, with the initial instance, involving primary strokes, exhibiting a superior outcome compared to the subsequent instance with recurring strokes. A more profound or recurring stroke has the potential to reduce cognitive reserve, hence potentially heightening vulnerability to neurodegenerative disorders, either directly or by means of modifications in social contacts or lifestyle, which can subsequently affect cognitive performance. Conclusion: Recurrent stroke plays a role in reducing cognitive reserve and increasing the risk of dementia. Patients with VaD have shorter life expectancy, thus the severity of VaD is best managed by providing optimum acute stroke care and recurrent stroke prevention.

CFNAM-PG: Bridging Phonetic and Glyphic Information for Chinese Full Name and Abbreviation Matching Based on Simbert and DenseNet

Matching abbreviated names with their full names (full-abbr matching) plays a key role in data integration, address matching, information retrieval, and other fields. Traditional full-abbr matching technology often encounters issues related to near homophones and near homoglyphs. First, a near-homophone full-abbr matching model based on Simbert and VGG was first proposed, which integrates character and speech features, leveraging a speech recognition model and combining a brain-like cognitive learning dual-process mechanism which involves linguistic knowledge and neural network together. Second, to address the problem of near-homoglyph full-abbr matching in Chinese, a DenseNet-based model that fuses glyph structure and image features was proposed, in which statistical feature extractors are employed to extract feature vectors for glyphic features including stroke, Wubi and structural features separately. Lastly, the near-homophone model and the near-homoglyph model are coupled to work together in the full-abbr matching task, in which expert knowledge is used as a component of the feature optimizer. Experimental results showed that the integrated model significantly increased the matching accuracy to 87.5%, demonstrating a 12.3% improvement.

Identifying gut microbiota with high specificity for ischemic stroke with large vessel occlusion

Gut microbiota can regulate the metabolic and immunological aspects of ischemic stroke and modulate the treatment effects. The present study aimed to identify specific changes in gut microbiota in patients with large vessel occlusion (LVO) ischemic stroke and assess the potential association between gut microbiota and clinical features of ischemic stroke. A total of 63 CSVD patients, 64 cerebral small vessel disease (CSVD) patients, and 36 matching normal controls (NCs) were included in this study. The fecal samples were collected for all participants and analyzed for gut microbiota using 16S rRNA gene sequencing technology. The abundances of five gut microbiota, including genera Bifidobacterium, Butyricimonas, Blautia, and Dorea and species Bifidobacterium_longum, showed significant changes with high specificity in the LVO patients as compared to the NCs and CSVD patients. In LVO patients, the genera Bifidobacterium and Blautia and species Bifidobacterium_longum were significantly correlated with the National Institutes of Health Stroke Scale (NIHSS) scores at the admission and discharge of the patients. Serum triglyceride levels could significantly affect the association of the abundance of genus Bifidobacterium and species Bifidobacterium_longum with the NIHSS scores at admission and modified Rankin Scale (mRS) at discharge in LVO patients. The identification of five gut microbiota with high specificity were identified in the early stage of LVO stroke, which contributed to performed an effective clinical management for LVO ischemic stroke.

Stroke Characteristics in the Elderly: A Hospital-Based Study in Cameroon.

Advanced age is an important nonmodifiable risk factor for stroke. Little data are available on stroke in older people in sub-Saharan Africa. This study aimed to determine the clinical features of stroke and identify the predictive factors for poor outcomes in this age group. A 4-month retrospective study was conducted using the Stroke Registry of Douala General Hospital. The main outcomes were mortality, poor functional recovery at 3 months (modified Rankin Scale score ≥3), and recurrence at 1 year. Factors associated with poor outcomes were determined using binary logistic regression. Survival was estimated using the Kaplan-Meier method. The significance threshold was set at p &lt; 0.05. Elderly patients represented 38.6% of all stroke cases (n = 1,260). Male represented 48.6% of the old patients. The incidence of hypertension, diabetes, previous stroke, and cardiopathies was significantly higher in older patients (p &lt; 0.05). Ischemic stroke accounted for 73.1% of stroke types. Cardiopathies, GCS 8-12, GCS &lt;8, hemorrhagic stroke, NIHSS &gt;14, and Barthel index at 1 month were independently associated with mortality. Being divorced, a modified Rankin scale score ≥3 at 1 month, and a Barthel index ≤60 at 1 month were independently associated with poor functional recovery at 3 months. Old patients represented 50% of recurrent stroke cases. Age &gt;90 years (p &lt; 0.001) and NIHSS &lt;5 were independently associated to recurrence at 1 year. Approximately two out of five stroke cases were old. Cardiopathies, hemorrhagic stroke, and data related to stroke severity contribute to poor outcomes. A management approach that considers the particularities of this age group could contribute to improving the outcomes of these patients.

The protective effects of Axitinib on blood-brain barrier dysfunction and ischemia-reperfusion injury in acute ischemic stroke

Background and purposeThe pathophysiological features of acute ischemic stroke (AIS) often involve dysfunction of the blood-brain barrier (BBB), characterized by the degradation of tight junction proteins (Tjs) leading to increased permeability. This dysfunction can exacerbate cerebral injury and contribute to severe complications. The permeability of the BBB fluctuates during different stages of AIS and is influenced by various factors. Developing effective therapies to restore BBB function remains a significant challenge in AIS treatment. High levels of vascular endothelial growth factor (VEGF) in the early stages of AIS have been shown to worsen BBB breakdown and stroke progression. Our study aimed to investigate the protective effects of the VEGF receptor inhibitor Axitinib on BBB dysfunction and cerebral ischemia/reperfusion-induced injury. MethodsBEnd3 cell exposed to oxygen–glucose deprivation (OGD) model was constructed to estimate pharmacological activity of Axitinib (400 ng/ml) on anti-apoptosis and pathological barrier function recovery. In vivo, rats were subjected to a 1 h transient middle cerebral artery occlusion and 23 h reperfusion (tMCAO/R) to investigate the permeability of BBB and cerebral tissue damage. Axitinib was administered through the tail vein at the beginning of reperfusion. BBB integrity was assessed by Evans blue leakage and the expression levels of Tjs claudin-5 and occludin. ResultsOur research revealed that co-incubation with Axitinib enhanced the cell viability of OGD-insulted bEnd3 cells, decreased LDH leakage rate, and suppressed the expression of apoptosis-related proteins cytochrome C and Bax. Axitinib also mitigated the damage to Tjs and facilitated the restoration of transepithelial electrical resistance in OGD-insulted bEnd.3 cells. In vivo, Axitinib administration reduced intracerebral Evans blue leakage and up-regulated the expression of Tjs in the penumbra brain tissue in tMCAO/R rats. Notably, 10 mg/kg Axitinib exerted a significant anti-ischemic effect by decreasing cerebral infarct volume and brain edema volume, improving neurological function, and reducing pro-inflammatory cytokines IL-6 and TNF-α in the brain. ConclusionsOur study highlights Axitinib as a potent protectant of blood-brain barrier function, capable of promoting pathological blood-brain barrier recovery through VEGF inhibition and increased expression of tight junction proteins in AIS. This suggests that VEGF antagonism within the first 24 h post-stroke could be a novel therapeutic approach to enhance blood-brain barrier function and mitigate ischemia-reperfusion injury.

Profiling biomechanical abilities during sprint front-crawl swimming using IMU and functional clustering of variabilities

ABSTRACT This study aims to profile biomechanical abilities during sprint front crawl by identifying technical stroke characteristics, in light of performance level. Ninety-one recreational to world-class swimmers equipped with a sacrum-worn IMU performed 25 m all-out. Intra and inter-cyclic 3D kinematical variabilities were clustered using a functional double partition model. Clusters were analysed according to (1) swimming technique using continuous visualisation and discrete features (standard deviation and jerk cost) and (2) performance regarding speed and competition calibre using respectively one-way ANOVA and Chi-squared test as well as Gamma statistics. Swimmers displayed specific technical profiles of intra-cyclic (smoothy and jerky) and inter-cyclic stroke regulation (low, moderate and high repeatability) significantly discriminated by speed (p < 0.001, η2 = 0.62) and performance calibre (p < 0.001, V = 0.53). We showed that combining high levels of both kinds of variability (jerky + low repeatability) are associated with highest speed (1.86 ± 0.12 m/s) and competition calibre (ℽ = 0.75, p < 0.001). It highlights the crucial importance of variabilities combination. Technical skills might be driven by a specific alignment of stroke pattern and its associated dispersion according to the task constraints. This data-driven approach can assist eyes-based technical evaluation. Targeting the development of an explosive swimming style with a high level of body stability should be considered during training of sprinters.

An improved prediction model for in-stream water wheel performance

As global efforts to decarbonise industries continue, there is increasing pressure to identify and proliferate sustainable methods of generating electricity, in-line with the United Nations’ Sustainable Development Goal 7. The in-stream water wheel is a pico-hydropower technology that generates electricity using only the kinetic energy in the fluid, rather than both potential and kinetic, like most forms of pico-hydropower. Current methods of estimating the power output of these turbines lack validation, robustness and proper justification for their assumptions. This study has developed a new method for predicting the power output of in-stream water wheels, based on fluid dynamics principles, and has been compared with a range of experimental results to confirm its robustness. The new model identifies novel characteristics of the power stroke of the turbine blade, including unsteady effects and negative torque production at certain blade angles. In addition, the model can be tuned to match experimental data, improving its accuracy in specific applications. The better prediction of power output aims to encourage the use of in-stream water wheels as part of the global decarbonisation strategy.

Stroke in Qatar: a decade of insights from a national registry

ABSTRACT Background Stroke is a major cause of death and disability worldwide and presents a significant burden on healthcare systems. This retrospective study aims to analyze the characteristics and outcomes of stroke patients admitted to Hamad General Hospital (HGH) stroke service in Qatar from January 2014 to July 2022. Methods The medical records of 15,859 patients admitted during the study period were analyzed. The data collected included patient demographics, stroke types, admission location, procedures performed, mortality rates, and other clinical characteristics. Results Of the total cohort, 70.9% were diagnosed with a stroke, and 29.1% were diagnosed with stroke mimics. Of the stroke patients, 85.3% had an ischemic stroke, and 14.7% had a hemorrhagic stroke. Male patients below 65 years old (80.2%) and of South Asian ethnicity (44.6%) were the most affected. The mortality rate was 4.6%, significantly higher for hemorrhagic stroke than ischemic stroke (12.6% vs. 3.2%). Female patients had a higher stroke-related mortality rate than male patients (6.8% vs. 4%). The thrombolysis rate was 9.5%, and the thrombectomy rate was 3.4% of the ischemic stroke cohort. The mean door-to-needle time for thrombolysis was 61.2 minutes, and the mean door-to-groin time for thrombectomy was 170 minutes. Stroke outcomes were good, with 59.3% of patients having favorable outcomes upon discharge (mRS ≤2), which improved to 68.2% 90 days after discharge. Conclusion This study provides valuable insights into stroke characteristics and outcomes in Qatar. The findings suggest that stroke mortality rates are low, and favorable long-term disability outcomes are achievable. However, the study identified a higher stroke-related mortality rate among female patients and areas for improvement in thrombolysis and thrombectomy time.

Fine Segmentation of Chinese Character Strokes Based on Coordinate Awareness and Enhanced BiFPN.

Considering the complex structure of Chinese characters, particularly the connections and intersections between strokes, there are challenges in low accuracy of Chinese character stroke extraction and recognition, as well as unclear segmentation. This study builds upon the YOLOv8n-seg model to propose the YOLOv8n-seg-CAA-BiFPN Chinese character stroke fine segmentation model. The proposed Coordinate-Aware Attention mechanism (CAA) divides the backbone network input feature map into four parts, applying different weights for horizontal, vertical, and channel attention to compute and fuse key information, thus capturing the contextual regularity of closely arranged stroke positions. The network's neck integrates an enhanced weighted bi-directional feature pyramid network (BiFPN), enhancing the fusion effect for features of strokes of various sizes. The Shape-IoU loss function is adopted in place of the traditional CIoU loss function, focusing on the shape and scale of stroke bounding boxes to optimize the bounding box regression process. Finally, the Grad-CAM++ technique is used to generate heatmaps of segmentation predictions, facilitating the visualization of effective features and a deeper understanding of the model's focus areas. Trained and tested on the public Chinese character stroke datasets CCSE-Kai and CCSE-HW, the model achieves an average accuracy of 84.71%, an average recall rate of 83.65%, and a mean average precision of 80.11%. Compared to the original YOLOv8n-seg and existing mainstream segmentation models like SegFormer, BiSeNetV2, and Mask R-CNN, the average accuracy improved by 3.50%, 4.35%, 10.56%, and 22.05%, respectively; the average recall rates improved by 4.42%, 9.32%, 15.64%, and 24.92%, respectively; and the mean average precision improved by 3.11%, 4.15%, 8.02%, and 19.33%, respectively. The results demonstrate that the YOLOv8n-seg-CAA-BiFPN network can accurately achieve Chinese character stroke segmentation.

P.017 Ischemic stroke in young adults: a comparison of outcomes, stroke risk factors and etiologies between males and females

Background: The primary aim was to determine if functional outcomes among young adults with stroke differed based on sex. The secondary aim was to identify differences in stroke risk factors and etiologies between females and males. Methods: Retrospective analysis of acute ischemic stroke patients aged 18 to 55 years from a stroke registry between 2018 to 2022. Multivariable logistic regression to analyse if modified Rankin Scale at 3-6 months (mRS, 0-2 versus 3-6) was associated with sex. Results: 315 patients (127 female), median age 48 years (IQR 42-52), median NIHSS 10 (IQR 4-19, median mRS (3-6 months) 2 (IQR 1-3). Following adjustment for vascular risk factors, clinical stroke characteristics, baseline mRS and stroke time metrics no significant difference in mRS (3-6 months) based on sex (p=0.40). Females more frequently had an unknown time of stroke onset (p=0.03). Large-artery atherosclerosis as a stroke etiology (p=0.01), known atrial fibrillation (p=0.03) and drug use (p=0.003) were more frequent in males. Conclusions: Patient-oriented outcomes maybe of interest in future studies as functional mRS outcomes do not differ between young male and female stroke patients. Males had a higher prevalence of large-artery atherosclerosis and risk factors including drug use and atrial fibrillation. These findings could help develop targeted stroke prevention strategies.

Authenticity identification method for calligraphy regular script based on improved YOLOv7 algorithm

A regular calligraphy script of each calligrapher has unique strokes, and a script’s authenticity can be identified by comparing them. Hence, this study introduces a method for identifying the authenticity of regular script calligraphy works based on the improved YOLOv7 algorithm. The proposed method evaluates the authenticity of calligraphy works by detecting and comparing the number of single-character features in each regular script calligraphy work. Specifically, first, we collected regular script calligraphy works from a well-known domestic calligrapher and divided each work into a single-character dataset. Then, we introduced the PConv module in FasterNet, the DyHead dynamic detection header network, and the MPDiou bounding box loss function to optimize the accuracy of the YOLOv7 algorithm. Thus, we constructed an improved algorithm named YOLOv7-PDM, which is used for regular script calligraphy identification. The proposed YOLOv7-PDM model was trained and tested using a prepared regular script single-character dataset. Through experimental results, we confirmed the practicality and feasibility of the proposed method and demonstrated that the YOLOv7-PDM algorithm model achieves 94.19% accuracy (mAP50) in detecting regular script font features, with a single-image detection time of 3.1 m and 31.67M parameters. The improved YOLOv7 algorithm model offers greater advantages in detection speed, accuracy, and model complexity compared to current mainstream detection algorithms. This demonstrates that the developed approach effectively extracts stroke features of regular script calligraphy and provides guidance for future studies on authenticity identification.

Ethnic and Gender Variations in Ischemic Stroke Patterns among Arab Populations in Northern Israel: A Preliminary Exploration towards Culturally Aware Personalized Stroke Care.

The Galilee region of Israel boasts a rich ethnic diversity within its Arab population, encompassing distinct Muslim, Christian, Druze, and Bedouin communities. This preliminary exploratory study uniquely examined potential ethnic and gender differences in ischemic stroke characteristics across these Arab subgroups, which are seldom investigated separately in Israel and are typically studied as a homogeneous "Arab" sector, despite significant variations in their ethnicity, culture, customs, and genetics. The current study aimed to comparatively evaluate stroke characteristics, including recurrence rates, severity, and subtypes, within and across these distinct ethnic groups and between genders. When examining the differences in stroke characteristics between ethnic groups, notable findings emerged. The Bedouin population exhibited significantly higher rates of recurrent strokes than Muslims (M = 0.55, SD = 0.85 vs. M = 0.25, SD = 0.56; p < 0.05). Large vessel strokes were significantly more prevalent among Christians (30%) than Druze (9.9%; p < 0.05). Regarding gender differences within each ethnic group, several disparities were observed. Druze women were six times more likely to experience moderate to severe strokes than their male counterparts (p < 0.05). Interestingly, Druze women also exhibited a higher representation of cardio-embolic stroke (19.8%) compared with Druze men (4.6%; p < 0.001). These findings on the heterogeneity in stroke characteristics across Arab ethnic subgroups and by gender underscore the need to reconsider the approach that views all ethnic groups comprising the Arab sector in Israel as a homogeneous population; instead, they should be investigated as distinct communities with unique stroke profiles, requiring tailored culturally aware community-based prevention programs and personalized therapeutic models. The identified patterns may guide future research to develop refined, individualized, and preventive treatment approaches targeting the distinct risk factors, healthcare contexts, and prevention needs of these diverse Arab populations.

Can Hemorrhagic Stroke Genetics Help Forensic Diagnosis in Pediatric Age (

When stroke occurs in pediatric age, it might be mistakenly interpreted as non-accidental head injury (NAHI). In these situations, a multidisciplinary approach is fundamental, including a thorough personal and familial history, along with accurate physical examination and additional investigations. Especially when the clinical picture is uncertain, it is important to remember that certain genetic conditions can cause bleeding inside the brain, which may resemble NAHI. Pediatric strokes occurring around the time of birth can also be an initial sign of undiagnosed genetic disorders. Hence, it is crucial to conduct a thorough evaluation, including genetic testing, when there is a suspicion of NAHI but the symptoms are unclear. In these cases, a characteristic set of symptoms is often observed. This study aims to summarize some of the genetic causes of hemorrhagic stroke in the pediatric population, thus mimicking non-accidental head injury, considering elements that can be useful in characterizing pathologies. A systematic review of genetic disorders that may cause ICH in children was carried out according to the Preferred Reporting Item for Systematic Review (PRISMA) standards. We selected 10 articles regarding the main genetic diseases in stroke; we additionally selected 11 papers concerning patients with pediatric stroke and genetic diseases, or studies outlining the characteristics of stroke in these patients. The disorders we identified were Moyamoya disease (MMD), COL4A1, COL4A2 pathogenic variant, Ehlers-Danlos syndrome (E-D), neurofibromatosis type 1 (Nf1), sickle cell disease (SCD), cerebral cavernous malformations (CCM), hereditary hemorrhagic telangiectasia (HHT) and Marfan syndrome. In conclusion, this paper provides a comprehensive overview of the genetic disorders that could be tested in children when there is a suspicion of NAHI but an unclear picture.

Construction of a painting image classification model based on AI stroke feature extraction

Abstract A large number of digital painting image resources cannot be directly converted into electronic form due to their differences in painting techniques and poor preservation of paintings. Moreover, the difficulty of extracting classification features can also lead to the consumption of human time and misclassification problems. The aim of this research is to address the challenges of converting various digital painting image resources into electronic form and the difficulties of accurately extracting classification features. The goal is to improve the usefulness and accuracy of painting image classification. Converting various digital painting image resources directly into electronic format and accurately extracting classification features are challenging due to differences in painting techniques and painting preservation, as well as the complexity of accurately extracting classification features. Overcoming these adjustments and improving the classification of painting features with the help of artificial intelligence (AI) techniques is crucial. The existing classification methods have good applications in different fields. But their research on painting classification is relatively limited. In order to better manage the painting system, advanced intelligent algorithms need to be introduced for corresponding work, such as feature recognition, image classification, etc. Through these studies, unlabeled classification of massive painting images can be carried out, while guiding future research directions. This study proposes an image classification model based on AI stroke features, which utilizes edge detection and grayscale image feature extraction to extract stroke features; and the convolutional neural network (CNN) and support vector machine are introduced into image classification, and an improved LeNet-5 CNN is proposed to achieve comprehensive assurance of image feature extraction. Considering the diversity of painting image features, the study combines color features with stroke features, and uses weighted K-means clustering algorithm to extract sample features. The experiment illustrates that the K-CNN hybrid model proposed in the study achieved an accuracy of 94.37% in extracting image information, which is higher than 78.24, 85.69, and 86.78% of C4.5, K-Nearest Neighbor (KNN), and Bi directional Long short-term Memory (BiLSTM) algorithms. In terms of image classification information recognition, the algorithms with better performance from good to poor are: the mixed model &gt; BiLSTM &gt; KNN &gt; C4.5 model, with corresponding accuracy values of 0.938, 0.897, 0.872, and 0.851, respectively. And the number of fluctuation nodes in the mixed model is relatively small. And the sample search time is significantly shorter than other comparison algorithms, with a maximum recognition accuracy of 92.64% for the style, content, color, texture, and direction features of the image, which can effectively recognize the contrast and discrimination of the image. This method effectively provides a new technical means and research direction for digitizing image information.

Early Rhythm Control and Incident Dementia in Patients With Atrial Fibrillation and Prior Stroke

BackgroundAlthough early rhythm control (ERC) in patients with atrial fibrillation (AF) reduces the risk of stroke, there is no evidence thus far on whether ERC reduces the risk of developing dementia in patients with AF and prior stroke. ObjectivesThis study sought to evaluate whether ERC reduces the risk of developing dementia in patients with new-onset AF and prior stroke. MethodsUsing the Korean nationwide claims database, we identified patients with new-onset AF and prior stroke between 2010 and 2016. Patients who received rhythm control therapy within 1 year after AF onset were defined as the ERC group, otherwise patients were categorized as the usual care group. A propensity score weighting method was used to balance the 2 groups. Incident dementia defined by relevant diagnostic codes was evaluated. ResultsA total of 41,370 patients were included (mean age 70 ± 11 years; mean CHA2DS2-VASc score 5.3 ± 1.6): 10,213 in the ERC group and 31,157 in the usual care group. Compared with usual care, ERC was associated with lower risks of all dementia, Alzheimer’s dementia, and vascular dementia (weighted HR: 0.825 [95% CI: 0.776-0.876], 0.831 [95% CI: 0.774-0.893], and 0.800 [95% CI: 0.702-0.913], respectively, all P < 0.001). The benefit of ERC was slightly accentuated in the younger age group (<65 years). The beneficial effect of ERC in reducing the risk of dementia was consistent regardless of the characteristics of prior stroke. ConclusionsERC might be beneficial in the prevention of dementia in patients with AF and prior stroke. To prevent the progression of cognitive dysfunction, ERC should be considered in this population.

Characteristics and risk of stroke in emergency department patients with acute dizziness

BackgroundAcute dizziness is a common symptom in the emergency department (ED), with strokes accounting for 3 %–5 % of cases. We investigated the risk of stroke in ED patients with acute dizziness and compared stroke characteristics diagnosed during and after the ED visit. MethodsWe identified adult patients with acute dizziness, vertigo, or imbalance using a hospital research-based database. Patients with abdominal or flank pain were used as the comparison group. Patients with dizziness were 1:1 matched to comparison patients. Each patient was traced for up to one year until being hospitalized for a stroke. ResultsOut of the 24,266 eligible patients, 589 (2.4 %) were hospitalized for stroke during the ED visit. For the remaining 23,677 patients, the risk of stroke at 7, 30, 90, and 365 days after ED discharge was 0.40 %, 0.52 %, 0.71 %, and 1.25 % respectively. Patients with dizziness had a higher risk of stroke compared to the comparison group at 7, 30, 90, and 365 days. The risk ratios decreased from 5.69 (95 % confidence interval [CI], 3.34–9.68) to 2.03 (95 % CI, 1.65–2.49). Compared to patients hospitalized for stroke during the ED visit, those hospitalized for stroke after the ED visit had greater stroke severity despite a lower initial triage acuity. Patients with early stroke (≤7 days) after ED discharge were less likely to have hypertension, diabetes, hyperlipidemia, and atrial fibrillation. They mostly experienced posterior circulation stroke. Patients with late stroke (>7 days) were older and less likely to have hypertension and hyperlipidemia but more likely to have a history of prior stroke and ischemic heart disease. Their strokes were mainly located in the anterior circulation territory. ConclusionsThe risk of stroke after ED discharge was higher in patients with dizziness than in the comparison group, with gradually decreasing risk ratios in the following year. Patients hospitalized for stroke during and after the ED visit had different profiles of vascular risk factors and clinical characteristics.

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

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. 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. 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. 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.