Prevalence and incidence of multiple sclerosis in Turkey: A nationwide epidemiologic study.

BACKGROUND: Many studies on multiple sclerosis (MS) reveal different prevalence and epidemiologic results. OBJECTIVES: In this study, we aimed to determine the epidemiologic profile of MS using official health records in Turkey. METHODS: Patients diagnosed with MS from the official health data of the Ministry of Health, representing the entire population of Turkey, were included in the study. Prevalence and incidence calculations were performed using the data on gender, age, year of birth, city of residence, and year of diagnosis. RESULTS: As a result of the study, the number of patients with the ICD code G35 was determined as 201,061 and the number of patients with this code entered at least three times was determined as 82,225. The prevalence of MS in Turkey was calculated as 96.4 per 100,000 and the female/male ratio as 2.1/1. The incidence of MS in 2022 was 6.2 per 100,000 and the mean patient age was 43.1 ± 13.3 years (female: 43.0 ± 13.1 vs male: 43.2 ± 13.7) while the mean age at first diagnosis was 34.0 ± 13.0 (female: 33.6 ± 12.6 vs male: 34.9 ± 13.7). CONCLUSION: The research was conducted via Official Database of Turkey, which includes population of 85 million and provides valuable insights into the prevalence and incidence rates of this chronic disease.

The effects of temperament and character traits on perceived social support and quality of life in patients with epilepsy.

OBJECTIVES: This study aimed to investigate the effect of temperament and character traits on perceived social support and quality of life in patients with epilepsy (PWE). METHODS: Fifty-two PWE and 54 healthy controls were included in this study. Demographics and clinical data were recorded. Temperament and Character traits were investigated using Temperament and Character Inventory (TCI), Perceived Social Support was evaluated by Multidimensional Scale of Perceived Social Support Scale (MSPSS), and quality of life was assessed using a 36-Item Short-Form Health Survey (SF-36). Participants also completed the Hospital Anxiety Depression Scale (HADS). RESULTS: TCI and MSPSS scores showed no significant difference between the groups (p>0.05). Mental and physical subscales of SF-36 were significantly lower in PWE than the controls (p=0.012, p=0.020, respectively). Multiple linear regression analysis indicated that Reward Dependence and Cooperativeness were independent predictors for perceived social support, and Persistence score was an independent predictor for the physical subscale of SF-36 even after adjustment for confounding background variables (p<0.05, for all). CONCLUSION: Temperament and character traits may affect perceived social support and quality of life in PWE. Thus, an evaluation of temperament and character traits may play a significant role in preventing negative effects on perceived social support and quality of life in PWE.

Correction: Sonkaya et al. Using Objective Speech Analysis Techniques for the Clinical Diagnosis and Assessment of Speech Disorders in Patients with Multiple Sclerosis. Brain Sci. 2024, 14, 384.

In the original publication [...].

Using Objective Speech Analysis Techniques for the Clinical Diagnosis and Assessment of Speech Disorders in Patients with Multiple Sclerosis.

Multiple sclerosis (MS) is one of the chronic and neurodegenerative diseases of the central nervous system (CNS). It generally affects motor, sensory, cerebellar, cognitive, and language functions. It is thought that identifying MS speech disorders using quantitative methods will make a significant contribution to physicians in the diagnosis and follow-up of MS patients. In this study, it was aimed to investigate the speech disorders of MS via objective speech analysis techniques. The study was conducted on 20 patients diagnosed with MS according to McDonald's 2017 criteria and 20 healthy volunteers without any speech or voice pathology. Speech data obtained from patients and healthy individuals were analyzed with the PRAAT speech analysis program, and classification algorithms were tested to determine the most effective classifier in separating specific speech features of MS disease. As a result of the study, the K-nearest neighbor algorithm (K-NN) was found to be the most successful classifier (95%) in distinguishing pathological sounds which were seen in MS patients from those in healthy individuals. The findings obtained in our study can be considered as preliminary data to determine the voice characteristics of MS patients.

The role of oligoclonal band count and IgG index in treatment response and disease activity in multiple sclerosis.

BACKGROUND/AIM: Multiple sclerosis (MS) is an inflammatory demyelinating central nervous system (CNS) disease. Among the paraclinical tests, brain and spinal Magnetic Resonance Imaging (MRI) is primarily involved in the diagnosis process, and cerebrospinal fluid (CSF) analysis is fundamental in diagnosing MS and the differential diagnosis. A positive relationship was demonstrated between oligoclonal band (OCB) positivity, CSF band number and immunoglobulin G(IgG) index. The study aimed to evaluate whether the number of OCB can predict disease activity and determine a correlation with the IgG index. METHODS: Our study included 401 MS patients who had relapsing-remitting multiple sclerosis (RRMS), primary progressive multiple sclerosis (PPMS), secondary progressive multiple sclerosis (SPMS), clinic isolated syndrome (CIS), radiologic isolated syndrome (RIS), Neuromyelitis optica spectrum disorder (NMOSD) and Acute disseminated encephalomyelitis (ADEM) with OCB number groups of 2-4, 4-8, 8-12, and 12 and above. RESULTS: No significant correlation was observed between IgG index, pre-and post-treatment EDSS (Expanded Disability Status Scale Scores) and disease-modifying therapies (DMT). Drug response was better in the patient group with band number between 2 and 8 and post-treatment EDSS scores were lower (1.62±0.44). CONCLUSION: The study results suggested that band number may be as valuable as the IgG index and a predictive biomarker for disease activity.

Herpes zoster oticus associated with varicella zoster virus encephalitis.

Ramsay-Hunt syndrome, herpes zoster oticus (HZO), derived its name from James Ramsay Hunt, who first described it in 1907. It is classically characterized by acute peripheral facial paralysis, herpetic eruptions on the auricle, and vestibulocochlear dysfunction due to the reactivation of varicella zoster virus (VZV). In this Case Report, the authors describe an HZO patient with simultaneous VZV encephalitis. To date, only eight cases of HZO associated with VZV encephalitis have been reported in the English literature. Therefore, the authors discuss all the aspects of this rare entity, including clinical examination, radiological evaluation, laboratory evaluation, and treatment options.