Zhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Guangdong Provincial Clinical Research Center for Ocular Diseases, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Br J Ophthalmol. 2023 Jun;107(6):836-841. doi: 10.1136/bjophthalmol-2021-320163. Epub 2022 Feb 3.
To investigate the relationship between choriocapillaris (CC) blood perfusion and the severity of diabetic retinopathy (DR) using swept-source optical coherence tomography angiography (SS-OCTA).
Type 2 diabetes mellitus in the Guangzhou was recruited. DR was graded according to the standardised seven-field colour retinal images adhering to the ETDRS scale. CC perfusion was quantified by evaluating the flow deficit (FD) density, FD number and FD size using SS-OCTA. Multivariable linear regressions were used to evaluate the correlation between CC FD metrics and DR severity.
A total of 1692 patients (eyes) were included in the final analysis. Participants with DR had a significantly higher FD density than the NDR group, with the differences of 1.61% (95% CI 1.04 to 2.18; p<0.001) among mild non-proliferative DR (NPDR) patients, 2.23% (95% CI 1.76 to 2.70; p<0.001) among moderate NPDR patients and 3.31% (95% CI 2.27 to 4.36; p<0.001) among severe DR than NDR patients after adjusting for confounding factors. Similarly, the higher FD number and size were also correlated with severer degree of DR (all p<0.05). Furthermore, the addition of FD density to conventional risk factors significantly improved the performance for discriminating DR from NDR patients (AUC 0. 829, 95% CI 0. 804 to 0. 855; p<0.001).
Quantitative FD density, number and size assessed by using SS-OCTA were independently correlated with the severity of DR. The assessment of the CC perfusion metrics in the macula may be a sensitive biomarker of DR changes.
利用扫频源光学相干断层扫描血管造影术(SS-OCTA)研究脉络膜毛细血管(CC)血流灌注与糖尿病视网膜病变(DR)严重程度之间的关系。
在广州招募 2 型糖尿病患者。根据标准化的七视野彩色视网膜图像,按照 ETDRS 标准对 DR 进行分级。使用 SS-OCTA 评估血流不足(FD)密度、FD 数量和 FD 大小来量化 CC 灌注。采用多元线性回归评估 CC FD 指标与 DR 严重程度之间的相关性。
共纳入 1692 例患者(眼)进行最终分析。与无 DR 组相比,DR 患者的 FD 密度明显更高,轻度非增生性 DR(NPDR)患者差异为 1.61%(95%CI 1.04 至 2.18;p<0.001),中度 NPDR 患者差异为 2.23%(95%CI 1.76 至 2.70;p<0.001),重度 DR 患者差异为 3.31%(95%CI 2.27 至 4.36;p<0.001),校正混杂因素后。同样,较高的 FD 数量和大小也与更严重的 DR 程度相关(均 p<0.05)。此外,将 FD 密度加入常规危险因素后,可显著提高 DR 与无 DR 患者的鉴别性能(AUC 0.829,95%CI 0.804 至 0.855;p<0.001)。
使用 SS-OCTA 评估的定量 FD 密度、数量和大小与 DR 的严重程度独立相关。黄斑区 CC 灌注指标的评估可能是 DR 变化的敏感生物标志物。