The Association Between Mental Health Disorders and Non-Infectious Scleritis: A Prevalence Study and Review of the Literature

Psychosocial Well-Being and Quality of Life in Uveitis: A Review

PURPOSE

As a potentially sight-threatening disease with ocular, systemic, and treatment-related complications, uveitis diminishes quality of life (QOL) and affects psychosocial well-being. This review summarizes the existing tools for evaluating psychosocial well-being and/or QOL in patients with uveitis, explores the biological and non-biological factors affecting psychosocial well-being and/or QOL, and proposes future directions for incorporating these tools into clinical practice.

METHODS

A systematic search of the MEDLINE, Embase, and Cochrane databases from inception to June 8, 2022 was conducted, screening for articles focused on psychosocial well-being and/or QOL in patients with uveitis. Both quantitative and qualitative analyses were performed.

RESULTS

In uveitis research, the most frequently studied patient-reported outcome measures were vision-related QOL (e.g. Visual Function Questionnaire [VFQ-25]) and health-related QOL (e.g. Short Form Survey [SF-36]), followed by mental health indicators including depression and anxiety. Instruments have also been developed specific to the pediatric population (e.g. Effects of Youngsters' Eyesight on Quality of Life [EYE-Q]). Generally, studies report worse psychosocial outcomes and QOL in patients with uveitis compared to the general population. Contributory factors include both clinical (e.g. visual impairment, ocular comorbidities) and patient-related (e.g. older age, female sex) factors.

CONCLUSION

Given the heterogeneity of instruments used, it is worth considering standardization across large uveitis studies and trials. Beyond research, given the biopsychosocial effects on patients with uveitis, there are benefits to incorporating QOL and psychosocial assessments into clinical practice. Simplification of questionnaires into abridged forms, focusing on the most clinically relevant aspects of patient care, may be considered.

Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives

The integration of artificial intelligence (AI) with healthcare has opened new avenues for diagnosing, treating, and managing medical conditions with remarkable precision. Uveitis, a diverse group of rare eye conditions characterized by inflammation of the uveal tract, exemplifies the complexities in ophthalmology due to its varied causes, clinical presentations, and responses to treatments. Uveitis, if not managed promptly and effectively, can lead to significant visual impairment. However, its management requires specialized knowledge, which is often lacking, particularly in regions with limited access to health services. AI's capabilities in pattern recognition, data analysis, and predictive modelling offer significant potential to revolutionize uveitis management. AI can classify disease etiologies, analyze multimodal imaging data, predict outcomes, and identify new therapeutic targets. However, transforming these AI models into clinical applications and meeting patient expectations involves overcoming challenges like acquiring extensive, annotated datasets, ensuring algorithmic transparency, and validating these models in real-world settings. This review delves into the complexities of uveitis and the current AI landscape, discussing the development, opportunities, and challenges of AI from theoretical models to bedside application. It also examines the epidemiology of uveitis, the global shortage of uveitis specialists, and the disease's socioeconomic impacts, underlining the critical need for AI-driven approaches. Furthermore, it explores the integration of AI in diagnostic imaging and future directions in ophthalmology, aiming to highlight emerging trends that could transform management of a patient with uveitis and suggesting collaborative efforts to enhance AI applications in clinical practice.

Colombian ocular inflammatory diseases epidemiology study (COIDES): prevalence, incidence and sociodemographic characterisation of Scleritis in Colombia, 2015–2020

Objective

To describe the epidemiological and demographic characteristics of scleritis in Colombia.

Methods and analysis

Population-based study using the national database from the Colombian Ministry of Health, using the International Classification of Diseases-10 code for Scleritis (H150) to estimate the prevalence and incidence from 2015 to 2019. Additionally, we evaluated the impact of the COVID-19 pandemic lockdown on the epidemiology of the disease during 2020, using the Gaussian Random Markov Field model (conditional autoregressive; CAR model). Finally, a standardised morbidity rate map was made to assess the geographic distribution of scleritis in the country.

Results

The 5-year average prevalence and incidence of scleritis in Colombia were 0.6 (95% CI 0.59 to 0.6) and 0.65 (95% CI 0.64 to 0.64) cases per 100 000 inhabitants, respectively. We found 1429 registers of scleritis throughout the country between 2015 and 2019. Women represented 64.3%. The age groups with most cases were between 40 and 69 years in both sexes. However, women between 30 and 39 years and men between 20 and 29 years presented the highest number of new cases. In 2020, the pandemic reduced approximately 0.23 points the incidence of scleritis. Bogotá, Valle del Cauca and Antioquia had most of the cases, the latter two with an increased risk over time.

Conclusion

Colombia has a lower incidence of scleritis than the reported in other latitudes, with a pattern of presentation at younger ages. Furthermore, the lockdown derived from the CODIV-19 pandemic affected the follow-up and diagnosis of patients with scleritis. This is the first epidemiological description of scleritis in a developing country and South America.

The prevalence of anxiety symptoms and disorders among ophthalmic disease patients

Background:

Progressive and irreversible vision loss has been shown to place a patient at risk of mental health problems such as anxiety. However, the reported prevalence of anxiety symptoms and disorders among eye disease patients vary across studies. Thus, this study aims to clarify the estimated prevalence of anxiety symptoms and disorders among ophthalmic disease patients.

Methods:

Relevant studies on the prevalence of anxiety symptoms and disorders among eye disease patients were collected through international databases, PubMed, Scopus, and Web of Science. A random-effects model was used to determine the pooled prevalence of anxiety symptoms and disorders among ophthalmic disease patients.

Results:

The 95 included studies yielded a pooled prevalence of 31.2% patients with anxiety symptoms and 19.0% with anxiety disorders among subjects with ophthalmic disease. Pediatric patients were more anxious (58.6%) than adults (29%). Anxiety symptoms were most prevalent in uveitis (53.5%), followed by dry eye disease (DED, 37.2%), retinitis pigmentosa (RP, 36.5%), diabetic retinopathy (DR, 31.3%), glaucoma (30.7%), myopia (24.7%), age-related macular degeneration (AMD, 21.6%), and cataract (21.2%) patients. Anxiety disorders were most prevalent in thyroid eye disease (TED, 28.9%), followed by glaucoma (22.2%) and DED (11.4%). When compared with healthy controls, there was a twofold increase on the prevalence of anxiety symptoms (OR = 1.912, 95% CI 1.463–2.5, p < 0.001) and anxiety disorders (OR = 2.281, 95% CI 1.168–4.454, p = 0.016).

Conclusion:

Anxiety symptoms and disorders are common problems associated with ophthalmic disease patients. Thus, comprehensive and appropriate treatments are necessary for treating anxiety symptoms and disorders among ophthalmic disease patients.