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Background: This multi-institutional, retrospective cohort study using TriNetX database aims to explore the relationship between HIV infection and uveitis.
Methods: HIV patients were propensity-matched to individuals from our non-HIV cohort (1:1 ratio) based on variables such as age (every 5 year), sex, ethnicity, race, and relevant comorbidities. The Cox proportional hazards regression model was utilized to assess the impact of variables on uveitis risk, reporting hazard ratios (HRs) with 95% confidence intervals (CIs). Kaplan-Meier survival analysis and log-rank tests were applied to estimate the cumulative incidence of uveitis. Statistical significance was set at a two-sided p-value < 0.05.
Results: We found that adult patients with HIV infection had a significantly increased risk of developing uveitis compared to non-HIV counterparts, with an overall HR of 3.02 (95% CI: 2.70 - 3.39). The risk remained elevated across designated follow-up intervals of 1 year (HR = 4.68 [3.69 - 5.92]), 2 years (HR = 4.44 [3.65 - 5.41]), and 3 years (HR = 4.06 [3.42 - 4.81]), with consistent increases noted when dividing into different uveitis types except for anterior uveitis. The risk was higher among patients with acquired immunodeficiency syndrome (AIDS) compared to asymptomatic HIV (HR = 2.64 [1.30 - 5.35]). Furthermore, HIV patients receiving treatment within three months exhibited a notably increased risk (HR = 2.87 [2.33 - 3.54]).
Conclusions: This study reveals that individuals with HIV face a significantly heightened risk of developing uveitis. Our findings indicate that this risk is most substantial for intermediate and posterior uveitis, challenging the long-held belief that anterior uveitis is the predominant form in this population.
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http://dx.doi.org/10.1186/s12981-025-00767-z | DOI Listing |
Int J Epidemiol
August 2025
Department of Biostatistics and Informatics, University of Colorado, Aurora, CO, United States.
Background: Existing longitudinal cohort study data and associated biospecimen libraries provide abundant opportunities to efficiently examine new hypotheses through retrospective specimen testing. Outcome-dependent sampling (ODS) methods offer a powerful alternative to random sampling when testing all available specimens is not feasible or biospecimen preservation is desired. For repeated binary outcomes, a common ODS approach is to extend the case-control framework to the longitudinal setting.
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Departments of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, China, 86 18922109279, 86 20852523108.
Background: Despite the Coronary Artery Reporting and Data System (CAD-RADS) providing a standardized approach, radiologists continue to favor free-text reports. This preference creates significant challenges for data extraction and analysis in longitudinal studies, potentially limiting large-scale research and quality assessment initiatives.
Objective: To evaluate the ability of the generative pre-trained transformer (GPT)-4o model to convert real-world coronary computed tomography angiography (CCTA) free-text reports into structured data and automatically identify CAD-RADS categories and P categories.
J Med Internet Res
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Department of Urology, Faculty of Medicine, Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Background: Circumcision is a widely practiced procedure with cultural and medical significance. However, certain penile abnormalities-such as hypospadias or webbed penis-may contraindicate the procedure and require specialized care. In low-resource settings, limited access to pediatric urologists often leads to missed or delayed diagnoses.
View Article and Find Full Text PDFJMIR Form Res
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Department of Emergency Medicine, College of Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Background: Hospital falls represent a persistent and significant threat to safety within health care systems worldwide, impacting both patient well-being and the occupational health of health care staff. While patient falls are a primary concern, addressing fall risks for all individuals within the health care environment remains a key objective. Caregiver visibility and spatial monitoring are recognized as crucial considerations in mitigating fall-related incidents.
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