Retinal image measurements and their association with chronic kidney disease in Chinese patients with type 2 diabetes: the NCD study

Xiayu Xu, Bin Gao, Wenxiang Ding, Qiong Wang, Maiye Zhang, Tao Tan, Fei Sun, Jianqin Lei, Qiuhe Ji, Feng Xu

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Aims: Retinal and renal microcirculations are known to share similar physiological changes during early diabetes because of abnormal glucose metabolism and other processes. The retinal vasculature therefore may serve as potential biomarker for the early identification of those at high risk of chronic kidney disease (CKD) in diabetes. Methods: Data from 1925 patients (aged 49.0 ± 10.3) with type 2 diabetes were analyzed. Various retinal image measurements (RIMs) were collected using a validated fully automated computer program. Multiple logistic regressions were performed to investigate the correlation between RIMs and CKD. Results: In logistic regression adjusting for multiple variables, wider venular calibers in the central and middle zones and narrower arteriolar caliber in the central zone were associated with CKD (p < 0.001, p = 0.020, and p < 0.001, respectively). Increased arteriolar tortuosity was associated with CKD (p = 0.035). Multiple image texture measurements were also significantly associated with CKD. Conclusions: Renal dysfunction in type 2 diabetes was associated with various retinal image measurements. These non-invasive image measurements may serve as potential biomarkers for the early identification and monitoring of individuals at high risk of CKD in the course of diabetes.

Original languageEnglish
Pages (from-to)363-370
Number of pages8
JournalActa Diabetologica
Volume58
Issue number3
DOIs
Publication statusPublished - Mar 2021
Externally publishedYes

Keywords

  • Chronic kidney disease
  • Diabetes microvascular complications
  • Retinal image analysis

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