Suppr超能文献

OCT 血管造影上的深层毛细血管无灌注预测有可治疗的非增殖性糖尿病视网膜病变的眼部并发症。

Deep Capillary Nonperfusion on OCT Angiography Predicts Complications in Eyes with Referable Nonproliferative Diabetic Retinopathy.

机构信息

Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Ophthalmology, Hyogo College of Medicine, Nishinomiya, Japan.

出版信息

Ophthalmol Retina. 2023 Jan;7(1):14-23. doi: 10.1016/j.oret.2022.06.018. Epub 2022 Jul 5.

Abstract

OBJECTIVE

To evaluate the ability of capillary nonperfusion parameters on OCT angiography (OCTA) to predict the development of clinically significant outcomes in eyes with referable nonproliferative diabetic retinopathy (NPDR).

DESIGN

Prospective longitudinal observational study.

SUBJECTS

In total, 59 patients (74 eyes) with treatment-naive moderate and severe (referable) NPDR.

METHODS

Patients were imaged with OCTA at baseline and then followed-up for 1 year. We evaluated 2 OCTA capillary nonperfusion metrics, vessel density (VD) and geometric perfusion deficits (GPDs), in the superficial capillary plexus, middle capillary plexus (MCP), and deep capillary plexus (DCP). We compared the predictive accuracy of baseline OCTA metrics for clinically significant diabetic retinopathy (DR) outcomes at 1 year.

MAIN OUTCOME MEASURES

Significant clinical outcomes at 1 year, defined as 1 or more of the following-vitreous hemorrhage, center-involving diabetic macular edema, and initiation of treatment with pan-retinal photocoagulation or anti-VEGF injections.

RESULTS

Overall, 49 patients (61 eyes) returned for the 1-year follow-up. Geometric perfusion deficits and VD in the MCP and DCP correlated with clinically significant outcomes at 1 year (P < 0.001). Eyes with these outcomes had lower VD and higher GPD, indicating worse nonperfusion of the deeper retinal layers than those that remained free from complication. These differences remained significant (P = 0.046 to < 0.001) when OCTA parameters were incorporated into models that also considered sex, baseline corrected visual acuity, and baseline DR severity. Adjusted receiver operating characteristic curve for DCP GPD achieved an area under the curve (AUC) of 0.929, with sensitivity of 89% and specificity of 98%. In a separate analysis focusing on high-risk proliferative diabetic retinopathy outcomes, MCP and DCP GPD and VD remained significantly predictive with comparable AUC and sensitivities to the pooled analysis.

CONCLUSIONS

Evidence of deep capillary nonperfusion at baseline in eyes with clinically referable NPDR can predict short-term DR complications with high accuracy, suggesting that deep retinal ischemia has an important pathophysiologic role in DR progression. Our results suggest that OCTA may provide additional prognostic benefit to clinical DR staging in eyes with high risk.

摘要

目的

评估 OCT 血管造影(OCTA)中的毛细血管无灌注参数预测存在可治疗的非增生性糖尿病视网膜病变(NPDR)的眼中临床显著结局的能力。

设计

前瞻性纵向观察性研究。

受试者

共纳入 59 名(74 只眼)未经治疗的中重度(可治疗的)NPDR 患者。

方法

患者在基线时进行 OCTA 成像,然后随访 1 年。我们评估了浅层毛细血管丛、中层毛细血管丛(MCP)和深层毛细血管丛(DCP)中 2 种 OCTA 毛细血管无灌注指标,即血管密度(VD)和几何灌注缺陷(GPD)。我们比较了基线 OCTA 指标对 1 年后临床显著糖尿病视网膜病变(DR)结局的预测准确性。

主要观察指标

1 年后的显著临床结局,定义为玻璃体出血、黄斑中心受累的糖尿病性视网膜水肿以及开始全视网膜光凝或抗 VEGF 注射治疗中的 1 项或多项。

结果

共有 49 名(61 只眼)患者返回进行 1 年随访。MCP 和 DCP 的几何灌注缺陷和 VD 与 1 年后的临床显著结局相关(P < 0.001)。发生这些结局的眼的 VD 较低,GPD 较高,表明深层视网膜层的无灌注情况比未发生并发症的眼更差。当将 OCTA 参数纳入还考虑了性别、基线矫正视力和基线 DR 严重程度的模型时,这些差异仍然具有统计学意义(P = 0.046 至 < 0.001)。DCP GPD 的调整后接收者操作特征曲线的曲线下面积(AUC)为 0.929,敏感性为 89%,特异性为 98%。在一项侧重于高危增生性糖尿病视网膜病变结局的单独分析中,MCP 和 DCP GPD 和 VD 仍然具有显著的预测价值,其 AUC 和敏感性与汇总分析相当。

结论

在具有临床可治疗 NPDR 的眼中,基线深层毛细血管无灌注的证据可以高精度预测短期 DR 并发症,这表明深层视网膜缺血在 DR 进展中具有重要的病理生理作用。我们的结果表明,在高危患者中,OCTA 可能为临床 DR 分期提供额外的预后益处。

相似文献

引用本文的文献

本文引用的文献

10
Diabetic Retinopathy Preferred Practice Pattern®.糖尿病视网膜病变首选诊疗模式®
Ophthalmology. 2020 Jan;127(1):P66-P145. doi: 10.1016/j.ophtha.2019.09.025. Epub 2019 Sep 25.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验