Epidemiology and healthcare utilization in motor neuron disease in Czechia.

Amyotroph Lateral Scler Frontotemporal Degener

Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czechia.

Published: August 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The demographic and epidemiological profile of motor neuron disease (MND) in Czechia remains unknown, highlighting a critical gap; this study aims to examine the epidemiology of MND using population-based data. We conducted a 10-year retrospective study (2012-2022) to analyze prevalence, incidence, mortality, and healthcare utilization, including Riluzole treatment and multidisciplinary care. Our epidemiological findings were compared with the Global Burden of Disease estimates to highlight the importance of real-world data. Based on the data from 4583 patients with MND, the mean annual age-standardized incidence is 3.91 (95% confidence interval [CI] 3.73 - 4.09) per 100,000 individuals, and the mean annual age-standardized prevalence is 10.43 (95% CI 9.91 - 10.95) per 100,000 individuals. The incidence and mortality rates are stable, whereas the prevalence slowly increases. A total of 58.9% of the patients are male. Median survival time is 4.27 years. Most patients, 63.7%, die in hospital, followed by home 27.9%. From healthcare services, physiotherapy and rehabilitation are the most frequently utilized, with 67% of patients benefiting. Only 6.2% of patients use genetic counseling. Riluzole is used by 43% of patients with MND. Comparing incidence and prevalence rates with Global Burden Data estimates and local studies from European countries, we identified differences highlighting the need for real-world data. This study provides crucial real-world data on MND epidemiology and healthcare consumption in Czechia, shedding light on a previously under-researched area. These insights could navigate healthcare resource use and evidence-based policies, improving outcomes for patients and caregivers while deepening understanding of MND in Europe.

Download full-text PDF

Source
http://dx.doi.org/10.1080/21678421.2025.2506441DOI Listing

Publication Analysis

Top Keywords

real-world data
12
epidemiology healthcare
8
healthcare utilization
8
motor neuron
8
neuron disease
8
incidence mortality
8
global burden
8
patients mnd
8
annual age-standardized
8
100000 individuals
8

Similar Publications

Purpose Of Review: Sulbactam-durlobactam (SUL-DUR) is a novel β-lactam/β-lactamase inhibitor combination recently approved for carbapenem-resistant Acinetobacter baumannii (CRAB) infections. This review summarizes current knowledge on the optimal use of SUL-DUR, whether administered alone or in combination with carbapenems, particularly imipenem.

Recent Findings: Data from registrational trial demonstrate that SUL-DUR is an effective and well tolerated treatment option for CRAB severe infections.

View Article and Find Full Text PDF

Background: Digital media frequently contains positive portrayals of alcohol content, which has been shown to be associated with alcohol-related cognitions and behaviors. Because youth are heavy media consumers and have access to unsupervised, repeat viewing of media content on their personal mobile devices, it is critical to understand the frequency of encountering alcohol content in adolescents' daily lives and how adolescents engage with the content.

Objective: This paper outlines the study protocol for examining adolescents' exposure to alcohol-related content in digital media within their natural environments.

View Article and Find Full Text PDF

Since the first decentralized clinical trial (DCT) was conducted in 2011, there has been an increased usage of DCT due to its benefits of patient-centricity and generalizability of findings. This trend was further expedited by the global COVID-19 pandemic. We identified 23 case studies across various therapeutic areas and grouped them into different categories according to their purposes-by necessity, for operational benefits, to address unique research questions, to validate innovative digital endpoints, or to validate decentralization as a clinical research platform.

View Article and Find Full Text PDF

Background: Belzutifan is a HIF-2ɑ inhibitor approved for the treatment of tumors in von Hippel-Lindau (VHL) syndrome and sporadic metastatic clear cell renal cell carcinoma (spRCC) in the refractory setting. The efficacy and side effects of belzutifan are well-documented from clinical trials, however, real-world data examining the incidence and management of adverse events (AEs) are lacking. Our study aims to describe the AE profiles of belzutifan in spRCC and VHL populations.

View Article and Find Full Text PDF

Fetal standard plane detection is essential in prenatal care, enabling accurate assessment of fetal development and early identification of potential anomalies. Despite significant advancements in machine learning (ML) in this domain, its integration into clinical workflows remains limited-primarily due to the lack of standardized, end-to-end operational frameworks. To address this gap, we introduce FetalMLOps, the first comprehensive MLOps framework specifically designed for fetal ultrasound imaging.

View Article and Find Full Text PDF