摘要
目的:探讨角膜塑形镜控制青少年近视发展的影响因素。方法:回顾性分析2012-11/2013-11在我院进行角膜塑形术患者86例169眼,治疗2a后,屈光度增加>-0.25D以上的为控制无效组(54眼),屈光度增加≤-0.25D为控制有效组(115眼),比较两组患者各因素差异。结果:(1)单因素比较结果显示,两组患者在性别、曾经戴框架眼镜、治疗前角膜横径、中央角膜厚度、眼压以及前房深度上差异不存在统计学意义(P>0.05);而年龄、治疗前屈光度、角膜曲率以及基础眼轴四个因素上差异具有统计学意义(P<0.05);(2)多因素Logistic回归分析结果显示,基础眼轴、年龄以及角膜曲率进入回归模型(P<0.05),为影响角膜塑形镜控制青少年近视发展疗效的独立影响因素。结论:基础眼轴、年龄以及角膜曲率为影响角膜塑形镜控制青少年近视发展疗效的独立影响因素,基础眼轴越长、年龄越大、角膜曲率越大的青少年患者,角膜塑形镜对控制其近视发展的效果越好。
AIM:To explore the influence factors of orthokeratology controlling deveIOPment of juvenile myopia. Methods: A retrospective analysis of 86 cases ( 169 eyes ) who performed orthokeratology from November 2012 to November 2013 in our hospital was carried out. Ater 2a treatment, diopter increased 〉 -0. 25D as invalid control group (54 eyes), diopter increased ≤ -0. 25D as effective control group ( 115 eyes ) . The difference of various factors between two groups were compared. RESULTS: Univariate comparison showed that the two groups had no statistical significance (P〉0. 05) in terms of gender, whether wear glasses in the past, anterior corneal diameter before treatment, central corneal thickness, intraocular pressure and anterior chamber depth. However, the two groups had statistical significance (P〈0. 05) in the terms of age, dioptre before trement, corneal curvature, and axial length basis. Logistic regression analysis showed that foundation axial length, age and corneal curvature were in line with regression model ( P〈0. 05 ), these were independent factors that orthokeratology lens control juvenile myopia deveIOPment. CONCLUSION: lndependent factors affecting orthokeratology control juvenile myopia deveIOPment is foundation axial length, age and corneal curvature. For juvenile patients, the longer of foundation axial length, the longer the age, the greater the curvature of cornea, orthokeratology can better control the myopia’s deveIOPment.
出处
《国际眼科杂志》
CAS
2015年第5期872-874,共3页
International Eye Science
基金
深圳市龙岗区医疗卫生项目(No.201406063001016)~~
关键词
角膜塑形镜
青少年
近视
回归分析
orthokeratology
adolescent
myopia
regression analysis