首页|期刊导航|实用医学杂志|视网膜血管特征预测先天性心脏病患者远期心血管事件的真实世界回顾性队列研究

视网膜血管特征预测先天性心脏病患者远期心血管事件的真实世界回顾性队列研究OA

Retinal vascular features for predicting long-term cardiovascular events in patients with congenital heart disease:A real-world retrospective cohort study

中文摘要英文摘要

目的 探讨视网膜血管特征(retinal vascular features,RVFs)预测先天性心脏病(congenital heart disease,CHD)患者远期主要不良心血管事件(major adverse cardiovascular events,MACE)的价值.方法 回顾性收集2017年5月至2022年11月期间,就诊于广东省人民医院先心外科并接受了系统的眼科专科检查的CHD患者的临床资料.纳入147例具有基线眼底彩照且基线时未发生MACE的CHD患者.采用弹性网络Cox回归模型在有效控制多重共线性的基础上筛选核心RVFs,以构建综合RVFs评分;同时采用岭回归对多项专科临床基线特征进行特征打包.通过双变量多因素Cox回归、时间依赖性受试者工作特征(time-dependent ROC)曲线及Kaplan-Meier法,全面评估RVFs评分对CHD患者远期MACE的独立预后价值及增量预测效能.结果 在中位随访53.22个月期间,共发生13例(8.9%)MACE终点事件.模型最终筛选出8项核心RVFs.在校正综合临床基线风险后,RVFs评分被证实是独立危险因素(HR=3.92,95%CI:2.23~6.92,P<0.001),该双变量预测模型的矫正C-index达0.83.依据RVFs评分的最佳截断值划分的高风险组患者其MACE累积发生率显著高于低风险组(Log-rank P<0.001).此外,加入RVFs评分后,模型对随访5年时MACE的预测效能得到提升,time-dependent ROC曲线下面积由单纯临床评估的0.62提升至联合模型的0.92.结论 基于眼底彩照提取的RVFs与先心病患者远期MACE风险独立相关,所构建的RVFs评分可有效实现风险分层,有望为该人群远期心血管风险评估提供一种无创、便捷的辅助工具.

Objective To investigate the predictive value of retinal vascular features(RVFs)for long-term major adverse cardiovascular events(MACE)in patients with congenital heart disease(CHD).Methods Clinical data were retrospectively collected from patients with CHD admitted to the Department of Congenital Heart Disease Surgery,Guangdong Provincial People's Hospital,who received systematic ophthalmic examinations between May 2017 and November 2022.A total of 147 CHD patients with available baseline fundus photographs and no history of MACE at baseline were enrolled in this study.An Elastic Net Cox regression model was applied to identify core RVFs while effectively controlling for multicollinearity,based on which a comprehensive RVFs score was constructed.Meanwhile,Ridge regression was used to aggregate multiple well-established clinical baseline charac-teristics into an integrated clinical risk score.The independent prognostic value and incremental predictive perfor-mance of the RVFs score for long-term MACE in CHD patients were comprehensively assessed via bivariate analysis,multivariable Cox regression,time-dependent receiver operating characteristic(ROC)curves,and the Kaplan-Meier method.Results After a median follow-up duration of 53.22 months,13 major adverse cardiovascular events(MACE,8.9%)occurred.The model identified 8 core RVFs in the final analysis.After full adjustment for aggre-gated clinical baseline risk factors,the RVFs-based score was confirmed to be an independent predictor of MACE[hazard ratio(HR)=3.92,95%confidence interval(CI):2.23-6.92,P<0.001],and the bivariate predictive model achieved a C-index of 0.83.When stratified by the optimal cut-off value of the RVFs score,patients in the high-risk group had a significantly higher cumulative incidence of MACE than those in the low-risk group(Log-rank P<0.001).Furthermore,incorporating the RVFs score improved 5-year MACE risk prediction:the area under the receiver operating characteristic curve(AUC)increased substantially from 0.62 for the clinical-only model to 0.92 for the combined model.Conclusions RVFs extracted from fundus photographs are independently associated with long-term MACE risk in patients with CHD.The RVFs-based risk score constructed in this study can effectively improve risk stratification performance,and holds promise as a non-invasive,easily accessible adjunctive tool for long-term cardiovascular risk assessment in this population.

江建荣;李聪;王艳;杜振超;何雪;李衡;刘磊;袁海云;杨小红

南方医科大学附属广东省人民医院(广东省医学科学院)眼科(广东省眼病防治研究所)(广东 广州 510080)南方医科大学附属广东省人民医院(广东省医学科学院)眼科(广东省眼病防治研究所)(广东 广州 510080)南方医科大学附属广东省人民医院(广东省医学科学院)眼科(广东省眼病防治研究所)(广东 广州 510080)南方医科大学附属广东省人民医院(广东省医学科学院)眼科(广东省眼病防治研究所)(广东 广州 510080)南方医科大学附属广东省人民医院(广东省医学科学院)眼科(广东省眼病防治研究所)(广东 广州 510080)南方医科大学附属广东省人民医院(广东省医学科学院)眼科(广东省眼病防治研究所)(广东 广州 510080)南方医科大学附属广东省人民医院(广东省医学科学院)眼科(广东省眼病防治研究所)(广东 广州 510080)南方医科大学附属广东省人民医院(广东省医学科学院)先心外科(广东 广州 510080)南方医科大学附属广东省人民医院(广东省医学科学院)眼科(广东省眼病防治研究所)(广东 广州 510080)

医药卫生

先天性心脏病视网膜血管特征主要不良心血管事件风险预测回顾性队列研究

congenital heart diseaseretinal vascular featuresmajor adverse cardiovascular eventsrisk predictionretrospective cohort study

《实用医学杂志》 2026 (16)

2875-2882,8

国家自然科学基金项目(编号:82271125)

10.3969/j.issn.1006-5725.2026.16.002

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