Department of Ophthalmology, University Hospital, Dijon, France.
INSERM, CIC1432, clinical epidemiology unit, Dijon, France, Dijon University Hospital, Clinical investigation Center, Clinical epidemiology/clinical trials unit, Dijon, France.
PLoS One. 2018 Apr 3;13(4):e0194694. doi: 10.1371/journal.pone.0194694. eCollection 2018.
To identify patterns summarizing the retinal vascular network in the elderly and to investigate the relationship of these vascular patterns with cardiovascular history.
We conducted a population-based study, the Montrachet study (Maculopathy Optic Nerve nuTRition neurovAsCular and HEarT diseases), in participants older than 75 years. The history of cardiovascular disease and a score-based estimation of their 10-year risk of cardiovascular mortality (Heart SCORE) were collected. Retinal vascular network analysis was performed by means of Singapore "I" Vessel Assessment (SIVA) software. Principal component analysis was used to condense the information contained in the high number of variables provided and to identify independent retinal vascular patterns.
Overall, 1069 photographs (1069 participants) were reviewed with SIVA software. The mean age was 80.0 ± 3.8 years. We extracted three vascular patterns summarizing 41.3% of the vascular information. The most clinically relevant pattern, Sparse vascular network, accounted for 17.4% of the total variance. It corresponded to a lower density in the vascular network and higher variability in vessel width. Diabetic participants with hypoglycemic treatment had a sparser vascular network pattern than subjects without such treatment (odds ratio, [OR], 1.68; 95% CI, 1.04-2.72; P = 0.04). Participants with no history of cardiovascular disease who had a sparser vascular network were associated with a higher Heart SCORE (OR, 1.76; 95% CI, 1.08-2.25; P = 0.02).
Three vascular patterns were identified. The Sparse vascular network pattern was associated with having a higher risk profile for cardiovascular mortality risk at 10 years.
识别老年人视网膜血管网络的模式,并研究这些血管模式与心血管病史的关系。
我们进行了一项基于人群的研究,即 Montrachet 研究(Maculopathy Optic Nerve nuTRition neurovAsCular and HEarT diseases),参与者年龄均在 75 岁以上。收集了心血管疾病史和基于评分的 10 年心血管死亡率风险估计(Heart SCORE)。视网膜血管网络分析采用新加坡“I”血管评估(SIVA)软件进行。主成分分析用于浓缩高变量数量提供的信息,并识别独立的视网膜血管模式。
总体而言,使用 SIVA 软件对 1069 张照片(1069 名参与者)进行了回顾。平均年龄为 80.0 ± 3.8 岁。我们提取了三个概括 41.3%血管信息的血管模式。最具临床相关性的模式是稀疏血管网络,占总方差的 17.4%。它对应于血管网络密度较低和血管宽度变异性较高。接受低血糖治疗的糖尿病患者的血管网络稀疏模式比未接受治疗的患者更为稀疏(比值比 [OR],1.68;95%置信区间 [CI],1.04-2.72;P = 0.04)。无心血管疾病史但血管网络稀疏的参与者与更高的 Heart SCORE 相关(OR,1.76;95%CI,1.08-2.25;P = 0.02)。
确定了三种血管模式。稀疏血管网络模式与 10 年内心血管死亡率风险的更高风险特征相关。