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Application of pattern electroretinogram in measuring the thickness of retinal nerve fiber layer in patients with primary open-angle glaucoma and analysis of influencing factors |
XIONG Yunfan LI Qing |
Department of Ophthalmology, the First Affiliated Hospital of Kunming Medical University, Yunnan Province, Kunming 650000, China |
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Abstract Objective To analyze the application and influencing factors of pattern electroretinogram (PERG) in measuring the thickness of retinal nerve fiber layer in patients with primary open-angle glaucoma, and to provide corresponding theoretical guidance for clinical practice. Methods A total of 60 patients (120 eyes) with early primary open-angle glaucoma admitted to Department of Ophthalmology, First Affiliated Hospital of Kunming Medical University from July 2018 to June 2019 were selected as the observation group, and 60 normal people admitted during the same period were selected as the control group. The thickness of retinal nerve fibers was detected by PERG, respectively. The detection conditions of PERG in the two groups were compared, and the influencing factors of PERG detection were analyzed by single and multiple factors. Results The amplitude and time of N95 in the observation group were lower than those in the control group, and the differences were statistically significant (all P < 0.05). Age, course of disease, diopter, intraocular pressure of the two groups were compared, and the differences were statistically significant (all P < 0.05). There was no significant difference in gender, ophthalmic complications and previous surgical history (P > 0.05). Gender, age, course of disease and diopter were regarded as independent variables, while the accuracy of test was regarded as dependent variables. Logistic multivariate regression analysis showed that age and diopter were influencing factors (all P < 0.05). Conclusion The determination of open-angle glaucoma by PERG is highly sensitive, but it is easily affected by age, diopter and other factors. Multiple methods of combined detection can effectively improve the early diagnosis rate of open-angle glaucoma, which is worthy of clinical promotion.
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[1] 霍妍佼,郭彦,王怀洲,等.正常成年人年龄相关性视盘周围视网膜神经纤维层厚度变化及影响因素[J].中华眼视光学与视觉科学杂志,2019,21(1):35-39.
[2] 朱慧君,马瑞,孙淑娟,等.北京市某社区2型糖尿病患者并发周围神经病变的调查及影响因素分析[J].中国慢性病预防与控制,2017,25(12):902-904.
[3] El-Shazly AAE,Farweez YA,Hamdi MM,et al. Pattern Visual Evoked Potential,Pattern Electroretinogram,and Retinal Nerve Fiber Layer Thickness in Patients with Migraine during and after Aura [J]. Curr Eye Res,2017,42(2):1327-1332.
[4] 徐军,陈强,牛四杰.青光眼视神经头参数与视网膜神经纤维层的相关性分析[J].计算机辅助设计与图形学学报,2017,29(6):977-983.
[5] 中华医学会眼科学分会青光眼学组,中华医学会中华眼科杂志编辑委员会.我国原发性青光眼诊断和治疗专家共识[J].中华眼科杂志,2008,44(9):862-863.
[6] El-Shazly AAE,Farweez YAT,Elewa LS,et al. Effect of Active and Passive Smoking on Retinal Nerve Fibre Layer and Ganglion Cell Complex [J]. J Ophthalmol,2017, 2017:6354025.
[7] 强薇,张小娟,曹楠珏,等.近视患者光学相干断层成像与多焦视网膜电图的变化[J].国际眼科杂志,2017,17(6):1073-1076.
[8] Al Oreany AA,Al Hadlaq A,Schatz P. Congenital stationary night blindness with hypoplastic discs, negative electroretinogram and thinning of the inner nuclear layer [J]. Graefes Arch Clin Exp Ophthalmol,2016,254(10):1951-1956.
[9] 罗毅,祁勇军,赵燕.原发性开角型青光眼患者视网膜神经纤维层厚度与视野缺损的相关性研究[J].眼科新进展,2015,35(11):1054-1056.
[10] 郭明.糖尿病对开角型青光眼患者视野及视网膜神经纤维层厚度的影响[J].中国卫生工程学,2018,17(4):604-605.
[11] Kang MT,Li SM,Li H,et al. Peripapillary Retinal Nerve Fiber Layer Thickness and its Association with Refractive error in Chinese Children: The Anyang Childhood Eye Study [J]. Clin Exp Ophthalmol,2016,44(8):701-709.
[12] 李梓敬,蓝育青,肖剑晖,等.正常人外层视网膜厚度随年龄增长的相关性分析[J].国际眼科杂志,2018,18(7):1169-1173.
[13] 李博,章剑,徐兴琛,等.光学相干断层成像术在近视眼视网膜神经纤维层厚度测量中的临床应用[J].现代生物医学进展,2017,17(5):905-908.
[14] 刘巧玲.单纯性近视眼鼻侧视网膜神经纤维层厚度变化影响因素研究[J].国际医药卫生导报,2016,22(19):2970-2973.
[15] 肖紫云,张茂菊,李家璋,等.单纯性近视眼鼻侧视网膜神经纤维层厚度变化影响因素研究[J].湖南师范大学学报:医学版,2016,13(3):69-71.
[16] Karahan E,Tuncer ■,Er D,et al. Correlation of Peripapillary Choroidal Thickness and Retinal Nerve Fiber Layer Thickness in Normal Subjects and in Patients with Glaucoma [J]. Semin Ophthalmol,2017,32(5):602-606.
[17] 吉晓华,张文芳,杨义.视网膜电图在研究高海拔视网膜病变中的应用[J].国际眼科杂志,2017,17(1):76-79.
[18] 段彦华,周梦颖,杨春兰,等.眼底图像中硬性渗出物检测算法[J].北京生物医学工程,2018,37(1):1-8.
[19] 胡雅斌,郭彦,王怀洲,等.正常老年人群黄斑内层视网膜厚度和视盘周围神经纤维层的改变[J].中华实验眼科杂志,2018,36(4):274-278.
[20] 许莉莉,梁歌,杨智,等.糖尿病视网膜病变筛查中的眼底图像质量控制[J].北京生物医学工程,2019,38(2):166-170.
[21] 钱一,易湘龙.晚期青光眼患者光学相干断层扫描检测的视网膜神经纤维层厚度与视野缺损的相关性研究[J].新疆医科大学学报,2016,39(12):1507-1511.
[22] 杜瑞斌.OCT技术检测视网膜神经纤维层的厚度变化在早期糖尿病视网膜病变中的意义[J].河北医药,2017, 39(18):2845-2847.
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