{"id":1017,"date":"2025-07-19T21:58:59","date_gmt":"2025-07-19T21:58:59","guid":{"rendered":"https:\/\/mediwhale.stage.studio-jt.co.kr\/kr\/?post_type=publication&#038;p=1017"},"modified":"2025-07-19T21:58:59","modified_gmt":"2025-07-19T21:58:59","slug":"validation-of-deep-learning-based-retinal-biomarker-reti-cvd-in-the-prediction-of-cardiovascular-disease-data-from-us-areds","status":"publish","type":"publication","link":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/publication\/validation-of-deep-learning-based-retinal-biomarker-reti-cvd-in-the-prediction-of-cardiovascular-disease-data-from-us-areds\/","title":{"rendered":"Validation of deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from US AREDS"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\">Background<\/h4>\n\n\n\n<p>In our previous study, we developed a deep-learning-based novel cardiovascular disease (CVD) risk stratification system based on retinal photographs, Reti-CVD. This study aims to further validate Reti-CVD in the US population of the Age-Related Eye Disease Studies (AREDS).<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Methods<\/h4>\n\n\n\n<p>Our testing cohort comprises of AREDS participants who have undergone retinal photography. We evaluated the ability of Reti-CVD to predict atherosclerotic CVD (ASCVD) events (non-fatal and fatal events, and fatal events) using Cox proportional-hazards models. Reti-CVD scores were then calculated and stratified into three groups based on optimized cut-off values from AREDS. Upon further stratifying Reti-CVD scores, we evaluated whether adding Reti-CVD to traditional risk factors could improve risk prediction.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Results<\/h4>\n\n\n\n<p>Among 3,555 participants, 282 (7.9%) had non-fatal and fatal ASCVD events, and 84 (2.4%) had fatal ASCVD during the 13-year follow-up. Reti-CVD was significantly associated with an increased risk of ASCVD, demonstrating an adjusted hazard ratio (HR) trend of 1.13 (95% CI, 1.03-1.24) for non-fatal and fatal ASCVD events, and an adjusted HR trend of 1.27 (1.07-1.52) for fatal ASCVD events. Reti-CVD significantly improved the overall predictive performance of traditional risk models with a continuous net reclassification index (NRI) of 0.247 (0.106-0.364) for non-fatal and fatal ASCVD events, and 0.232 (0.107-0.359) for fatal ASCVD events. In heatmaps, traditional risk features such as arteriovenous nicking and arteriolar narrowing were well-detected by the Reti-CVD algorithm.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Conclusion<\/h4>\n\n\n\n<p>A deep-learning-based, retinal photograph-derived new CVD biomarker, Reti-CVD, can be utilized as a risk stratification tool in predicting ASCVD risk in the US population. With the improvements observed on the current risk stratification by traditional risk models, Reti-CVD has considerable potential as an enhanced CVD risk stratification tool applicable in the general US population.<\/p>\n","protected":false},"template":"","publication_type_categories":[12],"publication_categories":[16],"class_list":["post-1017","publication","type-publication","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication\/1017","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/types\/publication"}],"version-history":[{"count":1,"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication\/1017\/revisions"}],"predecessor-version":[{"id":1018,"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication\/1017\/revisions\/1018"}],"wp:attachment":[{"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/media?parent=1017"}],"wp:term":[{"taxonomy":"publication_type_categories","embeddable":true,"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication_type_categories?post=1017"},{"taxonomy":"publication_categories","embeddable":true,"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication_categories?post=1017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}