Department of Immunology, Ophthalmology and ORL. IIORC, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain.
Glaucoma Service, Department of Ophthalmology, Hospital Clinico San Carlos, Madrid, Spain.
Graefes Arch Clin Exp Ophthalmol. 2024 Dec;262(12):3933-3946. doi: 10.1007/s00417-024-06576-w. Epub 2024 Jul 11.
The focus of therapeutic tools in glaucoma has been mainly to control of intraocular pressure. Recently there has been a growing interest in investigating the relationship of vascular risk factors in the development of glaucoma. The aim of this study was to assess the association between systemic arterial hypertension, diabetes mellitus and hypercholesterolemia, and peripapillary vascularization measured by Optical Coherence Tomography Angiography (OCTA) in glaucoma and healthy subjects.
In this unicenter, observational, cross-sectional study, 212 subjects, 118 glaucoma patients and 94 controls were consecutively recruited. Of these, 86 participants were excluded due to poor OCTA image quality. Therefore, 146 subjects were included in the final analysis, 74 glaucoma patients and 72 controls. Using a linear regression model, with 95% confidence and 80% statistical power, the effect of vascular risk factors on OCTA parameters in the 146 subjects included in the final analysis was studied.
No significant impact of vascular risk factors on OCTA measurements was found. Diabetic patients tended to show a lower peripapillary perfusion vascular density than subjects without diabetes (β 0.016, 95%CI 0.003;0.030, p 0.016). Similarly, hypercholesterolemia patients appeared to show less peripapillary flow index than non-hypercholesterolaemic patients (β 0.029, 95%CI 0.013;0.046, p 0.001). Glaucoma patients had 0.02% lower peripapillary perfusion vascular density (β 0.020, 95% CI 0.011;0.029, p < 0.001), 0.04% lower peripapillary flow index (β 0.036, 95%CI 0.022;0.051, p < 0.001) and 9.62% thinner retinal nerve fibre layer (β 9.619, 95%CI 5.495;13.744, p < 0.001).
In conclusion glaucoma has greater effect on peripapillary vascular density parameters than any of the vascular risk factors analyzed.
What is known: • Vascular disfunction plays an important role in the development of glaucoma. • Optical coherence tomography angiography makes it possible to assess the retinal microvasculature and the role that its alterations could have in the development of glaucoma.
• Decrease of the peripapillary microcirculation seems to be more related to the increase in intraocular pressure and the glaucoma itself than to the presence of cardiovascular risk factors. • The effect of having diabetes, systemic arterial hypertension or hypercholesterolaemia on vascular parameters or nerve fibre layer thickness was low. • There was also no relevant impact of the systemic medication used for these diseases on the peripapillary vascular parameters studied or on nerve fibre layer thickness.
治疗青光眼的重点主要在于控制眼内压。最近,人们对血管危险因素在青光眼发展中的作用越来越感兴趣。本研究旨在评估全身高血压、糖尿病和高胆固醇血症与青光眼和健康受试者的光相干断层扫描血管造影(OCTA)测量的视盘周围血管化之间的关系。
在这项单中心、观察性、横断面研究中,连续招募了 212 名受试者,其中 118 名为青光眼患者,94 名为对照组。其中,由于 OCTA 图像质量差,86 名参与者被排除在外。因此,最终分析包括 146 名参与者,其中 74 名青光眼患者和 72 名对照组。使用线性回归模型,置信区间为 95%,统计效力为 80%,研究了血管危险因素对最终分析中 146 名受试者的 OCTA 参数的影响。
未发现血管危险因素对 OCTA 测量有显著影响。糖尿病患者的视盘周围灌注血管密度似乎低于无糖尿病患者(β 0.016,95%CI 0.003;0.030,p 0.016)。同样,高胆固醇血症患者的视盘周围血流指数似乎低于非高胆固醇血症患者(β 0.029,95%CI 0.013;0.046,p 0.001)。青光眼患者的视盘周围灌注血管密度低 0.02%(β 0.020,95%CI 0.011;0.029,p<0.001),视盘周围血流指数低 0.04%(β 0.036,95%CI 0.022;0.051,p<0.001),视网膜神经纤维层薄 9.62%(β 9.619,95%CI 5.495;13.744,p<0.001)。
总之,青光眼对视盘周围血管密度参数的影响大于分析的任何血管危险因素。
已知内容:
血管功能障碍在青光眼的发展中起着重要作用。
光相干断层扫描血管造影可评估视网膜微血管,并评估其改变在青光眼发展中的作用。
视盘周围微循环的减少似乎与眼内压升高和青光眼本身的关系更密切,而不是与心血管危险因素的存在有关。
患有糖尿病、高血压或高胆固醇血症对血管参数或神经纤维层厚度的影响较低。
这些疾病的全身药物治疗对研究的视盘周围血管参数或神经纤维层厚度也没有明显影响。