Jungkyung Cho, Rim Kyung Hong, So Jung Ryu, Sunjin Hwang
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引用次数: 0
Abstract
Purpose: The association between central serous chorioretinopathy (CSC) and cardiovascular disease (CVD) risk is debated. We aimed to investigate this link using a novel artificial intelligence (AI)-based retinal biomarker.
Methods: This retrospective study included 109 CSC patients and 1028 non-CSC controls without pre-existing CVD. A validated AI software (Dr.Noon CVD) analyzed retinal images to generate a five-year CVD risk score. We used inverse probability of treatment weighting (IPTW) to balance for age and sex, and compared scores using a weighted t-test and multivariable linear regression.
Results: After IPTW, the mean AI-derived Dr.Noon CVD score was significantly higher in the CSC group than in the control group (32.26 ± 8.09 vs. 29.87 ± 9.92; p = 0.024). In the weighted multivariable regression model, CSC was independently associated with a 2.14-point increase in the Dr.Noon CVD score (p < 0.001) after adjusting for age and gender.
Conclusion: CSC is associated with a higher AI-derived cardiovascular risk score. These findings support the concept of CSC as an ocular manifestation of systemic vascular pathology and suggest that its diagnosis warrants a broader assessment of a patient's cardiovascular health.
期刊介绍:
Ophthalmic Epidemiology is dedicated to the publication of original research into eye and vision health in the fields of epidemiology, public health and the prevention of blindness. Ophthalmic Epidemiology publishes editorials, original research reports, systematic reviews and meta-analysis articles, brief communications and letters to the editor on all subjects related to ophthalmic epidemiology. A broad range of topics is suitable, such as: evaluating the risk of ocular diseases, general and specific study designs, screening program implementation and evaluation, eye health care access, delivery and outcomes, therapeutic efficacy or effectiveness, disease prognosis and quality of life, cost-benefit analysis, biostatistical theory and risk factor analysis. We are looking to expand our engagement with reports of international interest, including those regarding problems affecting developing countries, although reports from all over the world potentially are suitable. Clinical case reports, small case series (not enough for a cohort analysis) articles and animal research reports are not appropriate for this journal.