61 229

Cited 3 times in

Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores

Authors
 Joseph Keunhong Yi  ;  Tyler Hyungtaek Rim  ;  Sungha Park  ;  Sung Soo Kim  ;  Hyeon Chang Kim  ;  Chan Joo Lee  ;  Hyeonmin Kim  ;  Geunyoung Lee  ;  James Soo Ghim Lim  ;  Yong Yu Tan  ;  Marco Yu  ;  Yih-Chung Tham  ;  Ameet Bakhai  ;  Eduard Shantsila  ;  Paul Leeson  ;  Gregory Y H Lip  ;  Calvin W L Chin  ;  Ching-Yu Cheng 
Citation
 European Heart Journal. Digital Health, Vol.4(3) : 236-244, 2023-05 
Journal Title
European Heart Journal. Digital Health
Issue Date
2023-05
Keywords
Cardiovascular disease ; Deep learning ; Reti-CVD ; Retinal photograph ; Risk stratification ; Singapore Epidemiology of Eye Diseases ; UK Biobank
Abstract
Aims This study aims to evaluate the ability of a deep-learning-based cardiovascular disease (CVD) retinal biomarker, Reti-CVD, to identify individuals with intermediate- and high-risk for CVD. Methods and results We defined the intermediate- and high-risk groups according to Pooled Cohort Equation (PCE), QRISK3, and modified Framingham Risk Score (FRS). Reti-CVD’s prediction was compared to the number of individuals identified as intermediate- and high-risk according to standard CVD risk assessment tools, and sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated to assess the results. In the UK Biobank, among 48 260 participants, 20 643 (42.8%) and 7192 (14.9%) were classified into the intermediate- and high-risk groups according to PCE, and QRISK3, respectively. In the Singapore Epidemiology of Eye Diseases study, among 6810 participants, 3799 (55.8%) were classified as intermediate- and high-risk group according to modified FRS. Reti-CVD identified PCE-based intermediate- and high-risk groups with a sensitivity, specificity, PPV, and NPV of 82.7%, 87.6%, 86.5%, and 84.0%, respectively. Reti-CVD identified QRISK3-based intermediate- and high-risk groups with a sensitivity, specificity, PPV, and NPV of 82.6%, 85.5%, 49.9%, and 96.6%, respectively. Reti-CVD identified intermediate- and high-risk groups according to the modified FRS with a sensitivity, specificity, PPV, and NPV of 82.1%, 80.6%, 76.4%, and 85.5%, respectively. Conclusion The retinal photograph biomarker (Reti-CVD) was able to identify individuals with intermediate and high-risk for CVD, in accordance with existing risk assessment tools. © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.
Files in This Item:
T202304129.pdf Download
DOI
10.1093/ehjdh/ztad023
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Ophthalmology (안과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Sung Soo(김성수) ORCID logo https://orcid.org/0000-0002-0574-7993
Kim, Hyeon Chang(김현창) ORCID logo https://orcid.org/0000-0001-7867-1240
Park, Sung Ha(박성하) ORCID logo https://orcid.org/0000-0001-5362-478X
Lee, Chan Joo(이찬주) ORCID logo https://orcid.org/0000-0002-8756-409X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/196136
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links