Association of retinal age gap with chronic kidney disease and subsequent cardiovascular disease sequelae: a cross-sectional and longitudinal study from the UK Biobank

Author:

Wu Guanrong12,Zhang Xiayin1,Borchert Grace A3,Zheng Chunwen14,Liang Yingying1,Wang Yaxin1,Du Zijing1,Huang Yu1,Shang Xianwen1,Yang Xiaohong1,Hu Yijun1,Yu Honghua15,Zhu Zhuoting13

Affiliation:

1. Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University , Guangzhou , China

2. School of Medicine, South China University of Technology , Guangzhou , China

3. Ophthalmology, Centre for Eye Research Australia, University of Melbourne , Melbourne , Australia

4. Shantou University Medical College , Shantou , China

5. Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application , Guangzhou , China

Abstract

ABSTRACT Background Chronic kidney disease (CKD) increases the risk of cardiovascular disease (CVD) and is more prevalent in older adults. Retinal age gap, a biomarker of aging based on fundus images, has been previously developed and validated. This study aimed to investigate the association of retinal age gap with CKD and subsequent CVD complications. Methods A deep learning model was trained to predict the retinal age using 19 200 fundus images of 11 052 participants without any medical history at baseline. Retinal age gap, calculated as retinal age predicted minus chronological age, was calculated for the remaining 35 906 participants. Logistic regression models and Cox proportional hazards regression models were used for the association analysis. Results A total of 35 906 participants (56.75 ± 8.04 years, 55.68% female) were included in this study. In the cross-sectional analysis, each 1-year increase in retinal age gap was associated with a 2% increase in the risk of CKD prevalence [odds ratio 1.02, 95% confidence interval (CI) 1.01–1.04, P = .012]. A longitudinal analysis of 35 039 participants demonstrated that 2.87% of them developed CKD in follow-up, and each 1-year increase in retinal age gap was associated with a 3% increase in the risk of CKD incidence (hazard ratio 1.03, 95% CI 1.01–1.05, P = .004). In addition, a total of 111 CKD patients (15.81%) developed CVD in follow-up, and each 1-year increase in retinal age gap was associated with a 10% increase in the risk of incident CVD (hazard ratio 1.10, 95% CI 1.03–1.17, P = .005). Conclusions We found that retinal age gap was independently associated with the prevalence and incidence of CKD, and also associated with CVD complications in CKD patients. This supports the use of this novel biomarker in identifying individuals at high risk of CKD and CKD patients with increased risk of CVD.

Funder

National Natural Science Foundation of China

Science and Technology Program of Guangzhou

Outstanding Young Talent Trainee Program of Guangdong Provincial People's Hospital

GDPH Scientific Research Funds for Leading Medical Talents and Distinguished Young Scholars in Guangdong Province

Talent Introduction Fund of Guangdong Provincial People's Hospital

NSFC

Publisher

Oxford University Press (OUP)

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