Objectives: To analyze and compare sociodemographic features between Behçet uveitis and other non-infectious uveitis.
Materials And Methods: The data of adults with non-infectious uveitis in the nationwide uveitis database were analyzed and the sociodemographic features of patients with and without Behçet disease were compared.
Results: This study included data of 4,978 eyes of 3,363 patients from 33 centers. The mean age at presentation was 38.7±13.3 (17-87) years. The mean age was 34.3±10.5 years in the Behçet uveitis group and 41.1±14.0 years in the other non-infectious uveitis group (p<0.001). Male predominance was seen in the Behçet uveitis group (67.7% vs. 32.3%) while female patients were more common in the other non-infectious uveitis group (54.4% vs. 45.6%, p<0.001). Regarding education level, the proportion of patients with low education was higher in the Behçet uveitis group than the other non-infectious uveitis group (49.6% vs. 43.4% in males, p=0.004; 61.5% vs. 59.2% in females, p=0.021). Having a low-income job or being currently unemployed, indicators of poor income, were more frequent in the Behçet uveitis group than in the other non-infectious uveitis group (32.0% vs. 22.8%, p<0.001). In the comparison of places of residence, the proportion of patients who lived in cities with low gross national product was 37.0% in the Behçet uveitis group and 31.1% in the other non-infectious uveitis group (p<0.001).
Conclusion: Patients with Behçet disease had lower education level and socioeconomic status than patients with other non-infectious uveitis entities.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411281 | PMC |
http://dx.doi.org/10.4274/tjo.galenos.2020.28485 | DOI Listing |
Ethiop J Health Sci
October 2024
St. Paul Millennium Medical College, Department of Radiology, Addis Ababa, Ethiopia.
Background: Perianal fistula refers to an abnormal connection between the anal canal and the perianal skin or perineum. Magnetic Resonance Imaging (MRI) plays a crucial role in accurately characterizing perianal fistulas, which informs surgical strategies and helps minimize recurrence.
Methods: This cross-sectional study was conducted at a single diagnostic imaging center in Addis Ababa, utilizing retrospectively collected data from May 2023 to June 2024.
Schizophr Res
December 2024
Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea. Electronic address:
Predicting early treatment response in schizophrenia is pivotal for selecting the best therapeutic approach. Utilizing machine learning (ML) technique, we aimed to formulate a model predicting antipsychotic treatment outcomes. Data were obtained from 299 patients with schizophrenia from three multicenter, open-label, non-comparative clinical trials.
View Article and Find Full Text PDFJ Neurol Sci
December 2024
Computational and Translational Neuroscience Laboratory, Institute of Cognitive Sciences and Technologies, National Research Council (CTNLab-ISTC-CNR), Via Gian Domenico Romagnosi 18A, Rome 00196, Italy; AI2Life s.r.l., Innovative Start-Up, ISTC-CNR Spin-Off, Via Sebino 32, Rome 00199, Italy. Electronic address:
Alzheimer's disease (AD), the most common neurodegenerative disorder world-wide, presents sex-specific differences in its manifestation and progression, necessitating personalized diagnostic approaches. Current procedures are often costly and invasive, lacking consideration of sex-based differences. This study introduces an explainable machine learning (ML) system to predict and differentiate the progression of AD based on sex, using non-invasive, easily collectible predictors such as neuropsychological test scores and sociodemographic data, enabling its application in every day clinical settings.
View Article and Find Full Text PDFHealthc Technol Lett
December 2024
Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems Ulster University, Magee campus Derry∼Londonderry Northern Ireland UK.
Missing Alzheimer's disease (AD) data is prevalent and poses significant challenges for AD diagnosis. Previous studies have explored various data imputation approaches on AD data, but the systematic evaluation of deep learning algorithms for imputing heterogeneous and comprehensive AD data is limited. This study investigates the efficacy of denoising autoencoder-based imputation of missing key features of heterogeneous data that comprised tau-PET, MRI, cognitive and functional assessments, genotype, sociodemographic, and medical history.
View Article and Find Full Text PDFNeuropsychiatr Dis Treat
December 2024
National Center for Infectious Disease, Beijing Ditan Hospital Capital Medical University, Beijing, People's Republic of China.
Background And Objectives: This study aims to report the clinical, biological, and imaging features of cross-sectional study of neurosyphilis patients with leptomeningeal enhancement of spinal cord. Here, 51 neurosyphilis patients with leptomeningeal enhancement of spinal cord positivity are described, offering a promise in terms of early diagnosis, thereby enabling timely detection and treatment.
Methods: We retrospectively included all neurosyphilis patients enrolled in this study from December 2019 to January 2024.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!