International Review of Ophthalmology ›› 2023, Vol. 47 ›› Issue (5): 418-423.doi: 10.3760/ cma.j.issn.1673-5803.2023.05.006

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Correlation between hypertensive retinopathy and other important target organs injury

Zhao Runze1, Sun Xiaojia1, Lian Kun2, Chang Tianfang1, Dou Guorui1   

  1. 1Department of Ophthalmology, Xijing Hospital, Air Force Medical University, Eye Institute of PLA, Xi'an 710032, China; 2Department of Cardiology, Xijing Hospital, Air Force Medical University, Xi'an 710032, China
  • Online:2023-10-22 Published:2023-11-06
  • Contact: Dou Guorui, Email: fierywang@126.com E-mail:fierywang@126.com
  • Supported by:
    National Natural Science Foundation of China (81970814);Military Medicine Promotion Program of Air Force Military Medical University (2021JSTS28); Clinical Application of Military Medicine in the First Affliated Hospital of Air Force Military Medical University (JSYXM12)

Abstract: With the aging of China's population, the incidence of hypertension is increasing year by year. Retinal blood vessels have similar anatomical structure and functional characteristics with cerebrocardiovascular structure and renal blood vessels, meanwhile small retinal arteriopathy in hypertensive patients may precede the clinical symptoms of other important target organs damaged by hypertension, and retinal microcirculatory changes are expected to be a predictor of systemic pathologic changes in hypertensive patients. Although the correlation between hypertensive retinopathy and damage to the major target organs of hypertension has been confirmed, the examination and diagnostic criteria used in various studies are different, making replicability and clinical dissemination difficult. In recent years, the clinical application of artificial intelligence diagnosis model established by multi-modal hypertension retinopathy big data under fundus photography and optical coherence tomography (flow angiography) may solve this problem.

Key words: hypertensive retinopathy, cerebrovascular disease, cardiovascular disease, chronic kidney disease, optical coherence tomography, optical coherence tomography angiography, artificial intelligence