Acta neurologica Belgica最新文献

Cerebrospinal fluid (CSF) rhinorrhea causes the loss of CSF, resulting in a decrease in intracranial pressure and a lack of CSF protection in brain tissue. CSF rhinorrhea may cause impairment of posterior cranial nerves resulting in facial paralysis and vertigo. However, dysarthria caused by involvement of glossopharyngeal nerves and vagus nerves has seldom been reported. Here, we reported a 69-year-old woman who had paroxysmal slurred speech due to CSF rhinorrhea together with paroxysmal facial paralysis.

Background: Stroke is a leading cause of death and disability worldwide. Approximately one-third of patients with stroke experienced a second stroke. This study investigates the predictive value of machine learning (ML) algorithms for recurrent stroke.

Method: This study was prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. PubMed, Scopus, Embase, and Web of Science (WOS) were searched until January 1, 2024. The quality assessment of studies was conducted using the QUADAS-2 tool. The diagnostic meta-analysis was conducted to calculate the pooled sensitivity, specificity, diagnostic accuracy, positive and negative diagnostic likelihood ratio (DLR), diagnostic accuracy, diagnostic odds ratio (DOR), and area under of the curve (AUC) by the MIDAS package in STATA V.17.

Results: Twelve studies, comprising 24,350 individuals, were included. The meta-analysis revealed a sensitivity of 71% (95% CI 0.64-0.78) and a specificity of 88% (95% confidence interval (CI) 0.76-0.95). Positive and negative DLR were 5.93 (95% CI 3.05-11.55) and 0.33 (95% CI 0.28-0.39), respectively. The diagnostic accuracy and DOR was 2.89 (95% CI 2.32-3.46) and 18.04 (95% CI 10.21-31.87), respectively. The summary ROC curve indicated an AUC of 0.82 (95% CI 0.78-0.85).

Conclusion: ML demonstrates promise in predicting recurrent strokes, with moderate to high sensitivity and specificity. However, the high heterogeneity observed underscores the need for standardized approaches and further research to enhance the reliability and generalizability of these models. ML-based recurrent stroke prediction can potentially augment clinical decision-making and improve patient outcomes by identifying high-risk patients.

Regular and long-term injections of botulinum toxin (BoNT) are considered the first line therapy for essential blepharospasm (BEB), but no data exists on the long-term effect of this therapy on depressive symptoms and quality of life. This study aims to prospectively evaluate the long-term effects of BoNT therapy on depressive symptoms as well as on daily activities, emotional well-being and quality of life using validated questionnaires (BEB-scale, Beck`s Depression Inventory (BDI)). 86 patients diagnosed with BEB were followed up for a median of 4 years. Clinical symptoms improved significantly after BoNT-injections. Everyday activities and subjective assessment of the overall situation improved gradually under long-term BoNT therapy. Significant correlations (p < 0.0001; r-values between 0.498 and 0.706) were found between the BDI and items of the BEB-scale. No significant antidepressive effect of long-term BoNT therapy was found with a low median BDI total score (5/max. 63), but up to 31.3% of BEB patients had a BDI score ≥ 11, indicating clinically relevant depressive symptoms. Of these, 65.4% had no known history of depression. Although, several studies reported an antidepressant effect of botulinum toxin injections in patients with major depression, this effect does not seem to be present in patients with BEB despite clinical improvement of symptoms. A high prevalence of previously undetected depressive symptoms was found in BEB patients. As this may influence BoNT therapy success, identifying potential depressive symptoms at the time of BEB diagnosis and initiating appropriate treatment seems important.

Background and purpose: Ataxia, tremors, dysarthria, and sometimes impaired cognition are the signs of cerebellum involvement in multiple sclerosis (MS). These symptoms affect up to 80% of patients and are usually hard to treat. To find the underlying involvement of the cerebellum in MS, we assessed the microstructural alterations with DTI in the cerebellar peduncles of the affected subjects.

Materials and methods: We included 58 relapsing-remitting MS patients and 27 healthy controls. Patients were divided into 18 patients of relapsing-remitting MS with cerebellar impairment (RRMSc) and 40 without cerebellar impairment (RRMSnc). Using Diffusion Tensor Imaging (DTI), we calculated fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) metrics in all subjects. We also checked if there were associations between DTI metrics and clinical cerebellar measures (i.e., tremor severity and the scale for the assessment and rating of ataxia).

Results: ANOVA and post-hoc results showed significant differences in DTI metrics between RRMSc and HC and between RRMSnc and HC subjects. Inferior peduncle RD remained the only metric with a significant difference across all pairwise comparisons. The general linear model assessing the effects of the three study groups on the association between DTI metrics and clinical cerebellar measures yielded no significant result.

Conclusions: Our study showed that DTI can mainly reveal significant differences between different MS groups and HCs. Our results imply the role of cerebellar peduncles in the pathophysiology of MS and that this role does not necessarily reflect the severity of cerebellar signs of the patients.

Background: Balance and motor functions are associated with a complex sensory-cognitive-motor system that is not reliant on a single component. In people with Multiple Sclerosis (pwMS), deficits in cognitive domains may cause abnormal gait and balance disorders. Therefore, the impact of cognitive rehabilitation (CR) on motor and balance functions in pwMS was investigated.

Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the review was registered in the Prospero system. A systematic search was conducted in PubMed, Web of Science, Scopus, and Cochrane Library until April 2024. Articles meeting the eligibility criteria were assessed and included in the review, those that evaluated the impact of CR on balance and motor functions. Bias in the studies was assessed by using the Risk of Bias-2 tool for randomized controlled trials. The articles' evidence level was evaluated using the Modified Bakker Scale.

Results: After searching four databases, eight studies were included in the review, comprising a total of 668 participants. The bias risks of the studies were categorized as low in two studies, unclear in five studies, and high in one study. The evidence levels of the studies showed high levels of evidence for balance and motor skills.

Conclusion: This review suggests that CR may have a positive impact on motor and balance performance in pwMS, underscoring the relationship between cognition and motor function. Further research is required to enhance this evidence base, particularly given the limited number of studies in this area.

Purpose: To compare thymic features using unenhanced computed tomography (CT) images between children with non-thymomatous ocular myasthenia gravis (OMG) and healthy children and determine the image feature cut-off values to allow differentiation of the two populations.

Methods: We conducted a retrospective study involving 66 children who underwent chest CT, with 33 having non-thymomatous OMG and 33 healthy children without any abnormality. We recorded CT features of the thymus in each child, including the mean CT attenuation value, thymus area, area ratio, anteroposterior (AP) length, width (W), thickness (T), and transverse diameter (TD). These characteristics were analyzed to distinguish OMG from healthy controls. The receiver operating characteristic (ROC) analysis was used to clarify the best assessment, and the optimal cut-off values were determined.

Results: The mean CT attenuation value, the thymus area, area ratio, and TD were significantly different (P < 0.05) between the two groups. The mean CT attenuation value was the most significant characteristic in differentiating OMG and healthy controls (area under the curve [AUC] = 0.70). Using 50.41 as the cut-off value for mean CT attenuation, a specificity of 0.70 and sensitivity of 0.82 was observed for distinguishing the two groups (P = 0.003). Optimal differentiation was achieved by combining more than one characteristic including CT attenuation, thymus area, and TD with an optional area ratio (AUC = 0.72).

Conclusions: Non-enhanced CT of the thymus complemented the clinical workup of children with non-thymomatous OMG. The cut-off values of the CT features may allow robust differentiation of OMG children.