{"id":1055,"date":"2025-07-19T23:12:01","date_gmt":"2025-07-19T23:12:01","guid":{"rendered":"https:\/\/mediwhale.stage.studio-jt.co.kr\/kr\/?post_type=publication&#038;p=1055"},"modified":"2025-07-19T23:12:02","modified_gmt":"2025-07-19T23:12:02","slug":"retinal-imaging-and-deep-learning-in-predicting-all-cause-mortality-among-patients-with-cardiovascular-disease-a-uk-biobank-study-with-a-gender-perspective","status":"publish","type":"publication","link":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/publication\/retinal-imaging-and-deep-learning-in-predicting-all-cause-mortality-among-patients-with-cardiovascular-disease-a-uk-biobank-study-with-a-gender-perspective\/","title":{"rendered":"Retinal Imaging and Deep Learning in Predicting All-Cause Mortality among Patients with Cardiovascular Disease: A UK Biobank Study with a Gender Perspective"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Abstract<\/h2>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Purpose<\/strong><\/h4>\n\n\n\n<p>This Reti-CVD successfully predicted CVD events in individuals with no history of CVD. The present study aims to evaluate the predictive ability of retinal images and deep learning for all-cause mortality in patients with a baseline diagnosis of CVD, using the UK Biobank dataset.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Methods<\/strong><\/h4>\n\n\n\n<p>Our study incorporated participants with a baseline CVD diagnosis in the UK Biobank (n=4908). We calculated Reti-CVD scores and divided these into three risk categories based on tertiles among those patients. Survival analysis was performed on the UK Biobank&#8217;s longitudinal data to evaluate the performance of Reti-CVD in predicting all-cause mortality. We used Cox proportional-hazards models to assess Reti-CVD&#8217;s predictive capability for all-cause mortality, and hazard ratios (HRs) were computed.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Results<\/strong><\/h4>\n\n\n\n<p>In this longitudinal study, of the 4908 CVD patients at baseline, 121 (2.4%) experienced all-cause mortality. There were 11, 36, and 73 cases of all cause mortality in the 1st, 2nd, and 3rd Reti-CVD-based tertiles, respectively. We observed a total of 47,312 person-years over a 10-year follow-up period (median 9.88 years). After adjustment for baseline hypertension, diabetes, and smoking, Reti-CVD showed a significant association with the incidence of all-cause mortality (HR=2.19, 95% CI, 1.36-3.52, for the 3rd tertile versus 1st tertile as reference). In a gender specific subgroup analysis, Reti-CVD was significantly associated with the incidence of all-cause mortality in males (HR=2.38, 95% CI, 1.44-3.93, for the 3rd tertile versus 1st tertile as reference), but this association was not significant in females (HR=1.94, 95% CI, 0.41-9.12, for the 3rd tertile versus 1st tertile as reference).<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Conclusions<\/strong><\/h4>\n\n\n\n<p>Reti-CVD enabled further risk stratification in patients with cardiovascular disease. However, these findings differed by gender. While significant risk stratification was possible in males, it was not meaningful in females.<\/p>\n\n\n\n<p>This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.<\/p>\n","protected":false},"template":"","publication_type_categories":[12],"publication_categories":[16],"class_list":["post-1055","publication","type-publication","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication\/1055","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\/1055\/revisions"}],"predecessor-version":[{"id":1056,"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication\/1055\/revisions\/1056"}],"wp:attachment":[{"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/media?parent=1055"}],"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=1055"},{"taxonomy":"publication_categories","embeddable":true,"href":"https:\/\/mediwhale.stage.studio-jt.co.kr\/ko\/wp-json\/wp\/v2\/publication_categories?post=1055"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}