Metronidazole-Induced Encephalopathy With Probable Crohn Encephalitis: A Case Report.

OBJECTIVES: Metronidazole central nervous system toxicity is a rare finding in patients receiving the medication. We report a peculiar case of metronidazole central nervous system toxicity in which both the underlying condition (Crohn disease) and the drugs used to treat it are potential causes of encephalopathy. METHODS: A 26-year-old female with 6-year history of Crohn's disease for 6 years presented acute-onset encephalopathy. We provide bibliographic evidence to support metronidazole toxicity and potential Crohn disease-associated neurologic involvement. RESULTS: The patient presented dystonia, cerebellar ataxia, and altered mental status. Magnetic resonance imaging of the brain revealed typical findings of metronidazole toxicity and white matter involvement of the centrum semiovale. Immunoelectrophoresis and immunofixation of serum and cerebrospinal fluid proteins were consistent with a systemic inflammatory process. We concluded on an association between drug toxicity and probable Crohn-associated neurologic involvement. Metronidazole was stopped and the patient was placed on vitamin therapy and diazepam to control dystonia. She deteriorated and was transferred to the intensive care unit where she expired. CONCLUSIONS: Acute behavioral changes in a young patient constitute an emergency and differential diagnoses should include infective, inflammatory, metabolic, and toxic causes. Metronidazole is a potential toxic etiology.

Epilepsy awareness days, weeks, and months: Their roles in the fight against epilepsy and the intersectoral global action plan on epilepsy and other neurological disorders.

OBJECTIVES: This research sought to find out the epilepsy awareness days around the world and understand the nature and role of the days in the fight against epilepsy in relation to the Intersectoral Global Action Plan (IGAP) on epilepsy and other neurological disorders (2022-2031). METHODS: We conducted a review of journal articles. The databases that we searched were ProQuest Central, EBSCOhost Academic Search Complete, EBSCO Medline, PubMed Central, Wiley Online, Directory of Open Access Journals (DOAJ), African Journals Online (AJOL), and Google Scholar. We limited our search to papers of relevance to our subject published between January 2000 and January 2023. We searched 'epilepsy awareness day, week, or month'. From the databases, 13 articles met our inclusion criteria. We augmented our results with a search on Google of articles about epilepsy awareness day, week, or month. We also searched directly on the websites of epilepsy organizations. RESULTS: We found that epilepsy awareness days fall into these categories: global awareness days (n = 2), awareness months (n = 4), regional awareness weeks (n = 5), and regional awareness days (n = 1). Our search for national awareness days (n = 7) was not comprehensive, and this could be an area for future research. The literature shows that epilepsy awareness days could play a role in (1) reducing knowledge and treatment gaps, (2) increasing participation, (3) unlocking resources, and (4) necessitating policy change and increasing networking. The major role of these dedicated days in the IGAP is to accelerate awareness and advocacy for policy change and improved interventions. CONCLUSIONS: Epilepsy awareness days are bringing stakeholders together already, and IGAP initiatives could tap into this achievement to accelerate awareness in a cost effective, contextual and collaborative manner. This could be achieved by adopting themes that relate more directly to the IGAP goals. Another important strategy is to motivate countries that do not have national epilepsy days or regions that do not have a regional awareness days, to consider doing one within the confines of resources.

Artificial Intelligence and Multiple Sclerosis: Up-to-Date Review.

Multiple sclerosis (MS) remains a challenging neurological disorder for the clinician in terms of diagnosis and management. The growing integration of AI-based algorithms in healthcare offers a golden opportunity for clinicians and patients with MS. AI models are based on statistical analyses of large quantities of data from patients including "demographics, genetics, clinical and radiological presentation." These approaches are promising in the quest for greater diagnostic accuracy, tailored management plans, and better prognostication of disease. The use of AI in multiple sclerosis represents a paradigm shift in disease management. With ongoing advancements in AI technologies and the increasing availability of large-scale datasets, the potential for further innovation is immense. As AI continues to evolve, its integration into clinical practice will play a vital role in improving diagnostics, optimizing treatment strategies, and enhancing patient outcomes for MS. This review is about conducting a literature review to identify relevant studies on AI applications in MS. Only peer-reviewed studies published in the last four years have been selected. Data related to AI techniques, advancements, and implications are extracted. Through data analysis, key themes and tendencies are identified. The review presents a cohesive synthesis of the current state of AI and MS, highlighting potential implications and new advancements.

Etiological profile of peripheral neuropathies in an academic hospital in southern Morocco.

Background: Peripheral neuropathies constitute a common complaint in general and neurology practice, and are a source of handicap to patients. Epidemiological data in the Middle East and North Africa region as well as in the African continent are sparse. Nevertheless, regional etiological profiles are crucial in navigating the diagnostic maze of neuropathies. This study outlines the etiological profile of peripheral neuropathies in an academic hospital in southern Morocco. Results: A total of 180 cases were recorded in a span of 8 years (22.5 cases per year). The mean age of patients was 42.35 years. Male gender was predominant (68.88%), with a sex ratio of 2.2. Motor symptoms were the most frequently reported (86.6%). The axonal form (40.56%) was the most frequently encountered electrophysiologic form. The most frequent etiologies in the study were diabetes (26.7%), acute polyradiculoneuropathy (26.1%) and amyotrophic lateral sclerosis (16.1%). Alcohol neuropathy was found in 2.2% of the cohort. No cause was found in 5% of cases. Outcome was mostly favorable under treatment, although 10 deaths due to acute polyradiculoneuropathy were recorded (mortality = 21.3%). Conclusions: Knowledge of the etiological profile of peripheral neuropathies should guide clinicians to an early diagnosis and aid in an adapted management of patients. Supplementary Information: The online version contains supplementary material available at 10.1186/s41983-022-00531-4.