Central Serous Chorioretinopathy is Associated with Increased Cardiovascular Risk: An Artificial Intelligence-Based Retinal Analysis.

IF 1.6 4区 医学 Q3 OPHTHALMOLOGY
Ophthalmic epidemiology Pub Date : 2026-08-01 Epub Date: 2026-03-09 DOI:10.1080/09286586.2026.2640009
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.

中心性浆液性脉络膜视网膜病变与心血管风险增加相关:基于人工智能的视网膜分析
目的:讨论中心性浆液性脉络膜视网膜病变(CSC)与心血管疾病(CVD)风险之间的关系。我们的目标是使用一种新的基于人工智能(AI)的视网膜生物标志物来研究这种联系。方法:本回顾性研究纳入109例CSC患者和1028例未存在CVD的非CSC对照。经过验证的人工智能软件(Dr.Noon CVD)分析视网膜图像,生成五年心血管疾病风险评分。我们使用治疗加权逆概率(IPTW)来平衡年龄和性别,并使用加权t检验和多变量线性回归来比较得分。结果:IPTW后,CSC组人工智能得出的Dr.Noon CVD评分平均值显著高于对照组(32.26±8.09比29.87±9.92;p = 0.024)。在加权多变量回归模型中,CSC与Dr.Noon心血管疾病评分增加2.14分独立相关(p)。结论:CSC与较高的人工智能衍生心血管风险评分相关。这些发现支持CSC作为系统性血管病理的眼部表现的概念,并表明其诊断需要对患者心血管健康进行更广泛的评估。
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来源期刊
Ophthalmic epidemiology
Ophthalmic epidemiology 医学-眼科学
CiteScore
3.70
自引率
5.60%
发文量
61
审稿时长
6-12 weeks
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.
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