临床研究
ENGLISH ABSTRACT
利用深度学习探讨LDL-C对视网膜动脉硬化进展的影响及其阈值效应
罗澜
孙摇遥
周思锦
姚昱欧
张胜楠
马彤
琚烈
常献刚
赵明威
作者及单位信息
·
DOI: 10.3760/cma.j.cn115989-20240609-00148
Exploring the influence and threshold effect of low density lipoprotein cholesterol in the progression of retinal arteriosclerosis using deep learning
Luo Lan
Sun Yaoyao
Zhou Sijin
Yao Yuou
Zhang Shengnan
Ma Tong
Ju Lie
Chang Xiangang
Zhao Mingwei
Authors Info & Affiliations
Luo Lan
Department of Ophthalmology & Clinical Center of Optometry, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing 100044, China
Sun Yaoyao
Department of Ophthalmology & Clinical Center of Optometry, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing 100044, China
Zhou Sijin
Beijing Airdoc Technology Co., Ltd., Beijing 100089, China
Yao Yuou
Department of Ophthalmology & Clinical Center of Optometry, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing 100044, China
Zhang Shengnan
Beijing Yijiandian Clinic Co., Ltd, Beijing 100033, China
Ma Tong
Beijing Airdoc Technology Co., Ltd., Beijing 100089, China
Ju Lie
Beijing Airdoc Technology Co., Ltd., Beijing 100089, China
Chang Xiangang
Beijing Airdoc Technology Co., Ltd., Beijing 100089, China
Zhao Mingwei
Department of Ophthalmology & Clinical Center of Optometry, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing 100044, China
·
DOI: 10.3760/cma.j.cn115989-20240609-00148
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摘要

目的利用深度学习探讨低密度脂蛋白胆固醇(LDL-C)对视网膜动脉硬化进展的影响及其阈值效应。

方法采用队列研究方法,收集2016年1月至2023年8月在北京怡健殿诊所进行体检的1 928人的临床资料,包括一般情况、体格检查、血清学检查及彩色眼底照相,利用深度学习模型统一识别视网膜动脉硬化情况。按照LDL-C水平进行五等分分组,其中第1分组(0.64~1.90 mmol/L)389人,第2分组(1.91~2.26 mmol/L)387人,第3分组(2.27~2.57 mmol/L)384人,第4分组(2.58~2.95 mmol/L)385人,第5分组(2.96~6.06 mmol/L)383人。采用Logistic回归分析及限制性立方样条(RCS)回归模型分析LDL-C水平与视网膜动脉硬化进展的关联性以及剂量-反应关系。

结果在平均随访时间(66.84±6.58)个月中,视网膜动脉硬化进展的发生率为22.10%(426/1 928)。第1、2、3、4、5分组受试者眼底情况出现进展的比例分别为15.68%(61/389)、21.71%(84/387)、21.35%(82/384)、25.71%(99/385)和26.11%(100/383),总体比较差异有统计学意义( χ 2=15.97, P=0.003)。以LDL-C第1分组作为参照,LDL-C 2.58~2.95 mmol/L是视网膜动脉硬化进展的独立危险因素( OR=1.52,95% CI:1.04~2.22)。RCS分析显示两者呈"L"型关联。LDL-C对于视网膜动脉硬化的影响呈现阈值效应,当LDL-C<2.34 mmol/L时,视网膜动脉硬化进展风险随LDL-C水平升高而增加( OR=1.97,95% CI:1.10~3.62),当LDL-C≥2.34 mmol/L时风险趋于平缓。

结论LDL-C对视网膜动脉硬化进展的影响具有阈值效应,阈值为2.34 mmol/L。

视网膜;动脉硬化;深度学习;低密度脂蛋白胆固醇
ABSTRACT

ObjectiveTo investigate the effect of low density lipoprotein cholesterol (LDL-C) on the progression of retinal arteriosclerosis by using a deep learning model.

MethodsA cohort study was performed.Data of 1 928 individuals who underwent the medical examination at Beijing Yijiandian Clinic between January 2016 and August 2023 were reviewed, including baseline demographics, physical examination, serological test and fundus photography.Retinal arteriosclerosis was identified using a deep learning model.Five groups were divided according to LDL-C levels, including 389 subjects in group 1 (0.64-1.90 mmol/L), 387 subjects in group 2 (1.91-2.26 mmol/L), 384 subjects in group 3 (2.27-2.57 mmol/L), 385 subjects in group 4 (2.58-2.95 mmol/L), and 383 subjects in group 5 (2.96-6.06 mmol/L).The association between LDL-C levels and progression of retinal arteriosclerosis and the dose-response relationship were analyzed by logistic regression analysis and restricted cubic spline (RCS) regression model.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Peking University People's Hospital (No.2021PHB058-001).Written informed consent was obtained from each subject.

ResultsThe incidence of retinal arteriosclerosis progression was 22.10% (426/1 928) during the mean follow-up (66.84±6.58) months.The proportions of fundus progression in groups 1, 2, 3, 4, and 5 were 15.68%(61/389), 21.71%(84/387), 21.35%(82/384), 25.71%(99/385), and 26.11%(100/383), respectively, with statistical significant differences among them ( χ 2=15.97, P=0.003).Using group 1 as a reference, LDL-C 2.58-2.95 mmol/L was an independent risk factor for progression of retinal arteriosclerosis ( OR=1.52, 95% CI: 1.04-2.22), and RCS analysis showed an " L" shaped association.The effect of LDL-C on retinal arteriosclerosis showed a threshold effect, with the risk of retinal arteriosclerosis progression increasing with increasing LDL-C when LDL-C was <2.34 mmol/L ( OR=1.97, 95% CI: 1.10-3.62), and stabilizing when LDL-C was ≥2.34 mmol/L.

ConclusionsLDL-C has a threshold effect on the impact of retinal arteriosclerosis progression, and the threshold is 2.34 mmol/L.

Retina;Arteriosclerosis;Deep learning;Low density lipoprotein cholesterol
Zhao Mingwei, Email: mocdef.3ab61ukpwmzrd
引用本文

罗澜,孙摇遥,周思锦,等. 利用深度学习探讨LDL-C对视网膜动脉硬化进展的影响及其阈值效应[J]. 中华实验眼科杂志,2024,42(12):1127-1133.

DOI:10.3760/cma.j.cn115989-20240609-00148

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动脉硬化是导致心血管事件发生的重要因素之一。在过去20年中,动脉硬化发病率及其导致的死亡率不断升高,疾病负担逐渐加重 [ 1 ]。视网膜动脉硬化作为常见的眼底动脉变化,在一定程度上反映心脑血管病变的情况。研究表明,视网膜动脉病变可能是新发高血压、代谢综合征、缺血性心脏病、脑卒中以及腔隙性脑梗死等疾病的预测指标 [ 2 , 3 , 4 ]。视网膜动脉硬化被认为是全身性动脉粥样硬化损伤的指标,眼底所见的动脉改变主要反映全身小动脉硬化情况。在一般体检中,通过检查眼底动脉状况可以评估亚临床动脉粥样硬化 [ 5 ]。此外,动脉硬化严重时,视网膜可出现多处出血、渗出,甚至导致视盘水肿,影响视力。
血脂异常,特别是低密度脂蛋白胆固醇(low density lipoprotein cholesterol,LDL-C)的升高,是动脉硬化重要的可改变危险因素之一。视网膜动脉硬化与血清总胆固醇、LDL-C、甘油三酯密切相关,这些指标越高,动脉硬化可能越严重 [ 6 ]。然而也有研究认为动脉粥样硬化指标,包括LDL-C水平与视网膜病变无关 [ 7 ]。目前,关于LDL-C对视网膜动脉硬化影响的大规模纵向队列研究仍缺乏。本研究团队进行大规模人群长达8年时间跨度的队列研究,探讨LDL-C在视网膜动脉硬化进展过程中的作用。
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备注信息
A
赵明威,Email: mocdef.3ab61ukpwmzrd
B

罗澜:酝酿和设计试验、采集数据、分析/解释数据、统计分析、起草文章;孙摇遥、姚昱欧:酝酿和设计试验、指导研究、对文章的知识性内容作批评性审阅;周思锦:采集数据、分析/解释数据、统计分析;张胜楠:采集数据;马彤、琚烈、常献刚:分析/解释数据;赵明威:酝酿和设计试验、指导研究、对文章的知识性内容作批评性审阅及定稿

C
所有作者均声明不存在利益冲突
D
国家重点研发计划 (2020YFC2008200)
国家自然科学基金 (81800847)
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