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1.
JMIR Form Res ; 8: e54500, 2024 Mar 15.
Artículo en Inglés | MEDLINE | ID: mdl-38488833

RESUMEN

BACKGROUND: Electronic learning refers to the use of assistive tools in offline and distance learning environments. It allows students to access learning tools and materials anytime and anywhere. However, distance learning courses depend on several factors that affect the quality of learning, which consequently affect students' preferences in the settings and tools used to deliver educational materials. OBJECTIVE: This study aimed to evaluate students' preferences for continuing distance learning after the pandemic and to assess the distance educational environment after the pandemic. It also aimed to identify the factors affecting distance learning and evaluate students' preferences regarding modes of communication with instructors. METHODS: A web-based survey was used to conduct this cross-sectional study. The target participants of this study were students in the doctor of pharmacy program at Unaizah College of Pharmacy, Qassim, Saudi Arabia. All students enrolled from December 2022 to January 2023 received an invitation with a link to the web-based survey. RESULTS: The survey was completed by 141 students (58 female students and 83 male students). The research results showed that most students (102/141, 72.3%) did not wish to continue distance education for laboratory courses, and 60.3% (85/141) did not wish to continue taking distance team-based learning after the pandemic. Additionally, 83.7% (118/141) of the students indicated that distance courses were simple. More than half of the participants (79/141, 56%) stated that having a camera on during class negatively impacted their learning, and only 29.1% (41/141) of the students stated that nonvisual communication with their fellow students impacted their learning. A large proportion of students (83/141, 58.9%) reported impairment of social engagement on campus, 44% (62/141) in-person interactions during classes, and 73.7% (104/141) were relieved that their classes were not disrupted. CONCLUSIONS: Similar to all types of education, distance learning is characterized by advantages and disadvantages, as reported by students. Students felt that the course material was intelligible, and the distance course was uncomplicated. Moreover, they expressed relief that their studies were not disrupted. However, they also reported the loss of face-to-face contact during courses as the most significant drawback of distance learning versus face-to-face learning, followed by a lack of social connection on campus.

2.
Saudi Pharm J ; 31(9): 101728, 2023 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-37583755

RESUMEN

Introduction: Neuroinflammation is associated with the elevation of toxic proinflammatory mediators that promote neurodegeneration and subsequently affect cognition. Causes of inflammation in the neuronal cells are believed to initiate various neurodegenerative disorders, mainly Alzheimer's disease. Levetiracetam is a second-generation antiepileptic drug. There is evidence supporting the memory-enhancing effect of levetiracetam from numerous experimental and clinical studies. Therefore, this research focused on finding its protective effects against lipopolysaccharides prompted cognitive impairment and exploring possible mechanisms underlining their neuroprotection. Methodology: Two doses (100 or 200 mg/kg) of levetiracetam were administrated orally for 30 days. Additionally, four doses (250 µg/kg) of lipopolysaccharide were injected peripherally to induce neurotoxicity. Behavioral tests were carried out using various maze models. At the end of the tests, brain tissues were collected for biochemical evaluations. Cholinergic, neuroinflammatory, apoptosis, and oxidative-related parameters were analyzed in the brain homogenate to explore the possible mechanisms of action of levetiracetam. Results: In lipopolysaccharide-induced rats, levetiracetam indicated a reduction (p < 0.01) in transfer latency using the elevated plus-maze. An improvement (p < 0.01) in novel and familiar objects exploration time using novel object recognition test. A rise (p < 0.05) in novel arm entries and extended time spent in the novel arm using the Y-maze test. In extension, the levels of acetylcholine (p < 0.001), anti-inflammatory factors (transforming growth factor-ß1; p < 0.01 and interleukin-10; p < 0.05), and an antioxidant (catalase; p < 0.01) were elevated in lipopolysaccharide-induced rats after the administration of levetiracetam. In contrast, inflammatory factors (cyclooxygenase-2; p < 0.05, nuclear factor kappa B; p < 0.05, tumor necrosis factor-α; p < 0.01, and interleukin-6 (p < 0.01), apoptosis inducers (BCL2-associated X protein; p < 0.05 and Caspase-3 (p < 0.001), and oxidative stress (malondialdehyde; p < 0.05) were considerably reduced with levetiracetam in lipopolysaccharide-induced rats. Conclusion: The collective results suggested that levetiracetam may be able to treat neuroinflammatory-related memory loss by enhancing cholinergic activity while reducing neuroinflammation, cellular apoptosis, and oxidative stress.

3.
J Stroke Cerebrovasc Dis ; 30(9): 105937, 2021 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-34174516

RESUMEN

BACKGROUND AND PURPOSE: Acute strokes due to large vessel occlusion in hospitalized patients is not uncommon. We performed a systematic review and meta-analysis to investigate the timing and outcome of endovascular thrombectomy (EVT) for in-hospital stroke. METHODS: We conducted a meta-analysis of clinical studies published in English until September 2020 in the MEDLINE and Cochrane databases. Studies reporting original data on the characteristics and outcomes of in-hospital stroke patients treated with EVT were included. We extracted data on the time-metrics from last known well (LKW) until reperfusion was achieved. We also collected data on procedural and functional outcomes. RESULTS: Out of 5093 retrieved studies, 8 were included (2,622 patients). The median age was 71.4 years and median NIHSS score on admission was 16. Patients were mostly admitted to the cardiology service (27.3%). The pooled time from LKW to recognition by staff was 72.9 min (95% CI: 40.7 to 105 min). 25.6% received IV tPA. The mean time from stroke recognition to arterial puncture was 134.5 min (95% CI: 94.9 to 174.1). Successful reperfusion occurred in 82.8.% with a pooled mean time from detection to reperfusion of 193.1 min (95% CI: 139.5 to 246.7). The 90-day independent functional outcome was reported in 42% of patients (95% CI 29 to 55%). CONCLUSION: EVT can be performed safely and successfully for in-hospital strokes. Noticeable delays from LKW to detection and then to puncture are noted. This calls for better stroke pathways to identify and treat these patients. BACKGROUND: Stroke in hospitalized patients, referred to as in-hospital stroke (IHS), accounts for 2.2-17% of all strokes.1 The majority of these are ischemic while intracranial hemorrhage represents 2-11% of all IHS.1 These patients are expected to have a rapid diagnosis and treatment given the ongoing medical supervision, and therefore favorable outcomes.1-3 However, existing studies report poor outcomes in patients with IHS with a mortality risk that exceeds that of community-onset stroke (COS): 24.7% vs 9.6%.4 Surviving IHS patients are also less likely to be discharged home compared to COS (27.7% vs 49.9%) and to be functionally independent at 3 months (31.0% vs 50.4%).1-4.


Asunto(s)
Atención a la Salud , Procedimientos Endovasculares , Evaluación de Procesos y Resultados en Atención de Salud , Accidente Cerebrovascular/terapia , Trombectomía , Tiempo de Tratamiento , Anciano , Anciano de 80 o más Años , Evaluación de la Discapacidad , Procedimientos Endovasculares/efectos adversos , Procedimientos Endovasculares/mortalidad , Femenino , Mortalidad Hospitalaria , Humanos , Pacientes Internos , Masculino , Persona de Mediana Edad , Admisión del Paciente , Medición de Riesgo , Factores de Riesgo , Accidente Cerebrovascular/diagnóstico , Accidente Cerebrovascular/mortalidad , Trombectomía/efectos adversos , Trombectomía/mortalidad , Factores de Tiempo , Resultado del Tratamiento , Flujo de Trabajo
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