ABSTRACT
BACKGROUND: Leg stereotypy syndrome (LSS) is a very common, yet underrecognized condition. The pathophysiology of the condition is not well understood. OBJECTIVE: To evaluate and describe the visual kinematic characteristics of the repetitive leg movements in individuals with LSS. METHODS: In this study, we identified and videotaped individuals diagnosed with LSS at the Parkinson's Disease Center and Movement Disorders Clinic, Baylor College of Medicine, Houston, Texas between 2000 and 2023. Only patients with LSS and without any co-morbidities were included in the study. Their medical records were carefully reviewed, and the demographic and clinical data were entered into a database. Video recordings of the repetitive leg movements were then analyzed using TremAn software. RESULTS: We identified 14 individuals with LSS who were videotaped at our center. The videos of the 5 cases were too brief and therefore not suitable for TremAn quantitative analysis. The remaining 9 individuals exhibited regular rhythmic oscillations of the legs. Among these, two individuals displayed rhythmic movements only in video segments where their legs were in crossed positions. The other 7 individuals had regular rhythmic oscillations, always with the toes resting on the floor with the heels raised. Frequency analysis showed values between 4.5 and 6.5 Hz, fairly consistent with a variance below 0.5 Hz in individual cases. The oscillation frequency changed from 5.7 Hz to 2.7 Hz while standing. CONCLUSION: In this study, 6 of 9 individuals with LSS showed 4.5-6.5 Hz regular rhythmic leg movements. Studies involving a larger LSS population with additional electrophysiological evaluations are needed to obtain further insights into this common movement disorder.
ABSTRACT
To assess whether trainees can learn and implement the operational definition of interictal epileptiform discharges (IEDs) of the International Federation of Clinical Neurophysiology (IFCN), based on six morphological criteria, and whether its implementation improves their diagnostic performance and inter-rater agreement (IRA). Seven trainees evaluated a balanced dataset of 70 EEG samples containing sharp transients (35 from patients with epilepsy and 35 from patients with non-epileptic paroxysmal events). The gold standard was derived from video-EEG recordings of the habitual clinical episodes. The trainees individually reviewed the EEGs, blinded to all other data, in two successive training sessions, three months apart. The second session was preceded by a teaching module about the IFCN criteria, and the trainees implemented them during the second reading session. By implementing the IFCN criteria, trainees significantly improved their specificity (94.29% vs. 77.14%; p=0.01) and overall accuracy (81.43% vs. 64.29%; p=0.01) for identifying IEDs. Sensitivity also improved but did not reach the level of statistical significance (77.14% vs. 60%; p=0.07). IRA improved significantly from fair (k=0.31; 95% CI: 0.22-0.40) to high-moderate (k=0.56; 95% CI:0.46-0.67) beyond-chance agreement. Implementing the IFCN criteria significantly improves the diagnostic performance and IRA of trainees in identifying IEDs. Teaching the IFCN criteria for IEDs will increase specificity in clinical EEG and avoid over-reading, the most common cause of misdiagnosing epilepsy.
Subject(s)
Electroencephalography , Epilepsy , Epilepsy/diagnosis , Humans , Observer Variation , Video RecordingABSTRACT
BACKGROUND: This study aims to determine the stroke prevalence in Akçakoca which is a rural area in Turkey. METHODS: The study was designed as a cross-sectional, door-to-door survey. The stroke questionnaire was completed by a trained team in the presence of the participants according to their answers. Based on the screenings, patients who had been diagnosed with stroke previously were reexamined by a neurologist and determined the prevalence values, risk factors, and stroke types. RESULTS: A total of 3750 people over 44 years old were reached in the screenings. It was determined that 83 people had previously suffered a stroke. The prevalence rate of stroke in those above 44 years was found to be 2.2 (98% confidence level and ± 2% margin of error). 70 (84.3%) patients had suffered an ischemic stroke while 12 (14.5%) had suffered a hemorrhagic stroke. Male/female ratio was 1.1. CONCLUSION: The results of this study give the prevalence rate of stroke among the Turkish population living in a rural area. Due to a lack of other similar studies, it is impossible to make any data comparison. However, the results of this study help shed light on the stroke prevalence rate.
ABSTRACT
BACKGROUND AND PURPOSE: Multiple sclerosis (MS) is an autoimmune disease characterized by inflammatory demyelination. Recent studies have shown that long-term exposure to air pollutants (including PM10 particulates) is potentially an environmental risk factor for MS. We aimed to determine the prevalence rates of MS in two cities with different levels of air pollution. METHODS: This door-to-door population-based study was conducted between April 2014 and June 2015. Two cities were screened for the prevalence rates of MS: 1) Karabük, which borders an iron-and-steel factory, and 2) Akçakoca, which is a coastal city located in the same region. A validated survey form was used for screening MS. The 2010 McDonald Criteria were used for diagnosing MS. The patients were examined twice, first by a neurology assistant in the field and then by a senior neurologist in public health centers in the cities. RESULTS: The prevalence of MS was 95.9/100,000 in Karabük and 46.1/100,000 in Akçakoca. In total, 33 patients were diagnosed with clinically definite MS. The female/male ratio was 1.5, and 21 patients were diagnosed with relapsing-remitting MS, 9 with secondary progressive MS, and 3 with primary progressive MS. CONCLUSIONS: We found that the prevalence of MS was more than two fold higher in Karabük than in Akçakoca, which supports a link between air pollution and the pathogenesis of MS. However, larger etiological and epidemiological studies are needed to confirm this hypothesis.
