Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy.

The wild edible plants offer a valuable resource for food and human nutrition. The current study aimed to analyze the proximate composition and ethno-medicinal profiles of twenty selected wild edible plants from the Malakand District, Pakistan. The proximate composition (moisture, ash, crude protein, crude fat, and dietary fiber) was analyzed following Association of Official Agricultural Chemists (AOAC) protocols.

Corneal Confocal Microscopy Identifies and Differentiates Patients With Multiple Sclerosis and Epilepsy.

Purpose: To assess whether corneal nerve analysis can identify and differentiate patients with multiple sclerosis (MS) from those with epilepsy.

Methods: Participants with MS (n = 83), participants with epilepsy (n = 50), and healthy controls (HCs) (n = 20) underwent corneal confocal microscopy (CCM) and quantification of automated corneal nerve fiber length (ACNFL), automated corneal nerve fractal dimension (ACNFrD), and ACNFrD/ACNFL ratio of the subbasal nerve plexus.

Results: ACNFL (MS: P < 0.

Undiagnosed major risk factors in acute ischaemic stroke patients in Qatar: analysis from the Qatar stroke registry.

Objective: We examined the presentation to hospital, subtypes of ischaemic stroke for patients admitted to stroke services in Qatar and their 90-day prognosis based on the modified Rankin Scale (mRS) for those with diagnosed and undiagnosed diabetes, hypertension and dyslipidaemia.

Methods: We conducted a retrospective analysis of patients admitted with acute ischaemic stroke from January 2014 to April 2024. The mRS was dichotomised with favourable outcome (0-2) and unfavourable outcome (3-6).

A comprehensive comparison of machine learning models for ICH prognostication: Retrospective review of 1501 intra-cerebral hemorrhage patients from the Qatar stroke database.

Multiple prognostic scores have been developed to predict morbidity and mortality in patients with spontaneous intracerebral hemorrhage(sICH). Since the advent of machine learning(ML), different ML models have also been developed for sICH prognostication. There is however a need to verify the validity of these ML models in diverse patient populations.

Corrigendum: Predicting 90-day prognosis for patients with stroke: a machine learning approach.

[This corrects the article DOI: 10.3389/fneur.2023.

Differentially expressed miRNA profiles of serum derived extracellular vesicles from patients with acute ischemic stroke.

Background: MicroRNAs (miRNAs) participate in diverse cellular changes following acute ischemic stroke (AIS). Circulating miRNAs, stabilized and delivered to target cells via extracellular vesicles (EVs), are potential biomarkers to facilitate diagnosis, prognosis, and therapeutic modulation. We aimed to identify distinctive expression patterns of circulating EV-miRNAs in AIS patients.

Assessing Stroke Awareness and Behavioural Response Following the National 'Act Fast' Stroke Awareness Campaign - Insights from a Cross-Sectional Survey in Qatar.

Evaluating stroke campaigns and associated behavioural changes is crucial to assess intervention effectiveness and inform future strategies. We aimed to evaluate patient's and bystanders' foreknowledge of stroke signs and symptoms and their response at stroke onset. We interviewed stroke patients using a validated questionnaire or their bystanders if the stroke patient had disabling stroke.

Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study.

Acute ischemic stroke is the most common cause of neurologic dysfunction caused by focal brain ischemia and tissue injury. Diabetes is a major risk factor of stroke, exacerbating disease management and prognosis. Therefore, discovering new diagnostic markers and therapeutic targets is critical for stroke prevention and treatment.

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

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.

Association between COVID-19 vaccination and stroke: a nationwide case-control study in Qatar.

Objective: This study investigated the association between Coronavirus Disease 2019 mRNA vaccination and stroke in Qatar.

Methods: Between December 1, 2020, and April 11, 2023, a matched case-control study was conducted to investigate the association between 3036 acute stroke cases and 3036 controls drawn from the entire population of Qatar.

Results: The adjusted odds ratio (aOR) for vaccination among cases compared to controls was 0.

Short-term functional outcomes of patients with acute intracerebral hemorrhage in the native and expatriate population.

Objectives: Functional outcomes in patients with intracerebral hemorrhage (ICH) have not been well characterized in the Middle East and North Africa Region. We report the 30 and 90-day clinical outcomes in the native and expatriate of Qatar with ICH.

Methods: We evaluated the Glasgow Coma Scale (GCS), NIHSS, and imaging in the Qatar Stroke Registry (2013-22).

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.

Structural elucidation and development of azelaic acid loaded mesoporous silica nanoparticles infused gel: Revolutionizing nanodrug delivery for cosmetics and pharmaceuticals.

This research aimed to enhance dermal delivery and optimize depigmentation therapy by designing mesoporous silica nanoparticles (MSNs) encapsulating azelaic acid (AZA) within a gel matrix. The MSNs were prepared using the sol-gel method. After subsequent processes, including acid extraction and drug loading, were then elucidated through PDI, size, zeta-potential, entrapment efficiency, nitrogen adsorption assay, FE-SEM, thermogravimetric analysis, differential scanning calorimetry, Fourier transform infrared spectroscopy, X-ray diffraction, and tyrosinase inhibition assay, were employed to assess the formulation.

Machine learning-based prognostication of mortality in stroke patients.

Objectives: Predicting stroke mortality is crucial for personalized care. This study aims to design and evaluate a machine learning model to predict one-year mortality after a stroke.

Materials And Methods: Data from the National Multiethnic Stroke Registry was utilized.

Larger wind turbines as a solution to reduce environmental impacts.

The EU aims for carbon neutrality by 2050, focusing on offshore wind energy. Investments in North Sea wind farms, with optimal wind resources, play a crucial role. We employed a high-resolution regional climate model, which incorporates a wind farm parametrization, to investigate and address potential mitigating impacts of large wind farms on power generation and air-sea fluxes.

Association between serum triglycerides and stroke type, severity, and prognosis. Analysis in 6558 patients.

Background And Objectives: Hypertriglyceridemia (HT) may increase the risk of stroke. Limited studies have shown that stroke severity and infarction size are smaller in patients with HT. We explored the relationship between triglyceride levels and stroke risk factors, severity and outcome in a large prospective database.

Stroke and high-risk TIA outcomes with reduction of treatment duration when treatment initiated in emergency rooms (SHORTER-study).

Background: Following transient ischemic attack (TIA) and minor stroke, the risk of recurrent stroke can be significantly reduced with short-duration dual antiplatelet therapy (DAPT). We wish to investigate whether 10 days of DAPT is as effective as 21 days' treatment.

Study Design: This is an open-label, randomized, parallel-group study comparing whether 10 days of DAPT treatment (ASA + clopidogrel) is non-inferior to 21 days of DAPT in patients with acute ischemic stroke (AIS) or high-risk TIA.

Incidence, clinical features, and outcomes of posterior circulation ischemic stroke: insights from a large multiethnic stroke database.

Background: Posterior cerebral circulation ischemic stroke (PCS) comprises up to 25% of all strokes. It is characterized by variable presentation, leading to misdiagnosis and morbidity and mortality. We aim to describe PCS in large multiethnic cohorts.