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静态和动态眼部生物识别在黑暗和光明中测量的作用,作为角度关闭进展的风险因素
Austin Cho1, Benjamin Y Xu1, David S Friedman2
1Roski Eye Institute (A.C., B.Y.X., A.A.P.), Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
American journal of ophthalmology
|August 7, 2023
概括
在光线中测量的静态眼部生物识别参数对于预测初级角度关闭进展是有效的. 这些测量,以及年龄和眼内压,有助于识别高风险患者.
科学领域:
- 眼科医生 眼科 眼科
- 生物识别仪表是如何使用的
- 解剖学研究 解剖学研究
背景情况:
- 主要闭角光眼 (PACG) 是全球不可逆转失明的主要原因.
- 早期检测和风险分层的主要角度关闭嫌疑人 (PACS) 对于防止进展到主要角度关闭 (PAC) 至关重要.
- 在不同的光照条件下测量的眼部生物识别参数,可以提供关于动态角度变化的见解.
研究的目的:
- 评估静态和动态眼部生物识别参数的预测值,在黑暗和明亮条件下测量,用于PACS向PAC的进展.
- 为了识别与角关闭进展相关的关键风险因素.
主要方法:
- 一项回顾性队列研究利用了前性随机对照试验中未经治疗的对照眼睛的数据.
- 前段光学连贯断层扫描 (AS-OCT) 用于在黑暗和明亮条件下捕获图像.
- 静态参数 (角度,虹膜,透镜,前腔尺寸) 和动态变化参数使用Cox比例危险回归模型进行了分析.
主要成果:
- 静态测量角度开口距离在500微米前面的硬刺激 (TISA500) 在明暗条件下显著与进展相关.
- 动态变化参数没有显示与进展的显著关联.
- 年龄较大,眼内压较高 (IOP) 和TISA500在光线上较小是增加PAC进展风险的独立预测因素.
- 风险预测对于在光线下较小的TISA500测量值的眼睛更强.
结论:
- 静态眼部生物识别参数,特别是用光测量的TISA500,对于预测从PACS到PAC的进展非常有价值.
- 在明亮条件下进行的测量似乎与在黑暗中进行的测量一样具有预测性,如果不是更多的话.
- 将静态眼部生物识别与年龄和IOP等临床因素相结合,可以增强角关闭进展的风险分层.
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