国际眼科纵览 ›› 2023, Vol. 47 ›› Issue (5): 418-423.doi: 10.3760/ cma.j.issn.1673-5803.2023.05.006

• 综述 • 上一篇    下一篇

高血压性视网膜病变与其他重要靶器官损伤的相关性

赵润泽1孙小佳1廉坤2常天芳1窦国睿1   

  1. 1 空军军医大学西京医院眼科 全军眼科研究所,西安 710032; 2 空军军医大学西京医院心脏内科,西安 710032
  • 出版日期:2023-10-22 发布日期:2023-11-06
  • 通讯作者: 窦国睿,Email:fierywang@126.com E-mail:fierywang@126.com
  • 基金资助:
    国家自然科学基金(81970814);空军军医大学军事医学提升计划培育项目(2021JSTS28);空军军医大学第一附属医院军事医学临床应用研究(JSYXM12)

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)

摘要: 随着我国人口老龄化加剧,高血压发病率呈逐年上升趋势。视网膜血管与心脑血管及肾血管有相似的解剖结构及功能特征,且高血压患者视网膜小动脉病变可早于高血压其他重要靶器官受损的临床症状,视网膜微循环改变有望成为高血压患者全身病理变化的预测指标。尽管高血压性视网膜病变与高血压主要靶器官受损的相关性已被证实,但各项研究采用的检查诊断标准却不尽相同,可复制性及临床推广难度较大。近年来通过眼底照相和相干光断层扫描血管成像技术多模态下高血压性视网膜病变大数据所建立的人工智能诊断模型在临床的应用或许可解决这一难题。

关键词: 高血压性视网膜病变, 脑血管疾病, 心血管疾病, 慢性肾病, 相干光断层扫描, 相干光断层扫描血管成像, 人工智能

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