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有急性闭角型青光眼病史的中国人的眼部生物特征

Ocular Biometric Characteristics of Chinese with History of Acute Angle Closure.

作者信息

Niu Wei-Ran, Dong Chun-Qiong, Zhang Xi, Feng Yi-Fan, Yuan Fei

机构信息

Department of Ophthalmology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.

出版信息

J Ophthalmol. 2018 Oct 17;2018:5835791. doi: 10.1155/2018/5835791. eCollection 2018.

Abstract

PURPOSE

To investigate the biometric characteristics of Chinese patients with a history of acute angle closure (AAC).

METHODS

In this clinic-based, retrospective, observational, cross-sectional study, biometric parameters of eyes were acquired from a general population of Chinese adults. The crowding value (defined as lens thickness (LT); central corneal thickness (CCT); anterior chamber depth (ACD)/axial length (AL)) was calculated for each patient. Logistic regression analysis was performed to identify risk factors for AAC. Receiver operating characteristic (ROC) curves were plotted, and biometric variables were compared to compile a risk assessment for AAC.

RESULT

This study included 1500 healthy subjects (2624 eyes, mean age of 66.54 ± 15.82 years) and 107 subjects with AAC (202 eyes, mean age of 70.01 ± 11.05 years). Eyes with AAC had thicker lens ( ≤ 0.001), shallower anterior chamber depth ( ≤ 0.001), and shorter axial length ( ≤ 0.001) than healthy eyes. Logistic regression analysis and ROC curve analysis indicated that a crowding value above 0.13 was a significant ( < 0.05) risk factor for the development of AAC.

CONCLUSIONS

Biometric parameters were significantly different between the eyes from the AAC group to the normal group. Ocular crowding value might be a new noncontact screening method to assess the risk of AAC in adults.

摘要

目的

研究有急性闭角型青光眼(AAC)病史的中国患者的生物特征。

方法

在这项基于临床的回顾性观察性横断面研究中,从中国成年普通人群中获取眼睛的生物特征参数。计算每位患者的拥挤值(定义为晶状体厚度(LT);中央角膜厚度(CCT);前房深度(ACD)/眼轴长度(AL))。进行逻辑回归分析以确定AAC的危险因素。绘制受试者工作特征(ROC)曲线,并比较生物特征变量以编制AAC的风险评估。

结果

本研究纳入1500名健康受试者(2624只眼,平均年龄66.54±15.82岁)和107名AAC患者(202只眼,平均年龄70.01±11.05岁)。与健康眼相比,AAC患者的眼睛晶状体更厚(≤0.001)、前房深度更浅(≤0.001)、眼轴长度更短(≤0.001)。逻辑回归分析和ROC曲线分析表明,拥挤值高于0.13是AAC发生的显著(<0.05)危险因素。

结论

AAC组与正常组眼睛的生物特征参数存在显著差异。眼部拥挤值可能是一种评估成年人AAC风险的新型非接触式筛查方法。

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