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早发性原发性闭角型青光眼的危险因素分层

Risk factor stratification in early-onset primary angle closure disease.

作者信息

Gupta Shikha, Yadav Suresh Kumar, Panigrahi Arnav, Sapkal Shruti, Varshney Toshit, Pathak Anand Kumar, Singh Sonam, Sethi Rishi, Gupta Viney

机构信息

Dr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India.

Divisional Medical Officer, Northern Railway Central Hospital, New Delhi, India.

出版信息

Eye (Lond). 2025 Jul 18. doi: 10.1038/s41433-025-03884-1.

Abstract

PURPOSE

To identify the potential biometric associations in patients with early-onset primary angle closure disease (EOPACD), and the relevant biometric cut-offs for distinguishing them.

DESIGN

A prospective cross-sectional observational study.

PARTICIPANTS

The study included 190 eyes with EOPACD of 128 patients, aged 20-40 years (mean age 34.2 ± 6.0 years).

METHODS

EOPACD (defined as primary angle closure presenting before 40 years of age) was classified into early-onset primary angle closure suspect (EOPACS), early-onset primary angle closure (EOPAC), and early-onset primary angle closure glaucoma (EOPACG) groups. The participants underwent a baseline clinical examination, including gonioscopy, ultrasound biomicroscopy, anterior segment ocular coherent tomography (ASOCT) and optical biometry (IOL Master). Statistical analysis was performed to identify risk factors associated with EOPACG such as axial length (AL), lens thickness (LT), lens vault (LV), anterior chamber depth (ACD), anterior chamber area (ACA) and other parameters on ASOCT.

MAIN OUTCOME MEASURES

To identify ocular biometric associations and potential cut-offs for distinguishing glaucoma eyes from suspects.

RESULTS

Biometric measurements showed that the AL was the shortest, while ACD, ACA and ASOCT angle parameters were narrowest in eyes with EOPACG, as compared to EOPACS and EOPAC (p < 0.001; Bonferroni/Dunn test). Similarly, LV and LT were highest in eyes with EOPACG (p < 0.001). Logistic regression analysis revealed that ACD exhibited the highest predictive ability (ACD ≤ 2.73 mm, OR 4.36, AUC 0.72), followed by LT (LT ≥ 4.22 mm, OR 4.2, AUC 0.71) and ACA (ACA ≤ 17.24mm, OR 3.04, AUC 0.7) for EOPACG.

CONCLUSIONS

This study highlights the significance of ocular biometric measurements, especially ACD and LT, which can assist in stratifying individuals with EOPACD for early detection of glaucoma. Thickening of the lens with the resultant crowded anterior chamber seemed to be the most prevalent biometric characteristic in eyes with frank glaucoma.

摘要

目的

确定早发性原发性闭角型青光眼(EOPACD)患者的潜在生物特征相关性,以及用于区分这些患者的相关生物特征临界值。

设计

一项前瞻性横断面观察性研究。

参与者

该研究纳入了128例年龄在20 - 40岁(平均年龄34.2±6.0岁)的EOPACD患者的190只眼睛。

方法

EOPACD(定义为40岁之前出现的原发性闭角型青光眼)被分为早发性原发性闭角型可疑青光眼(EOPACS)、早发性原发性闭角型青光眼(EOPAC)和早发性原发性闭角型青光眼合并青光眼(EOPACG)组。参与者接受了基线临床检查,包括前房角镜检查、超声生物显微镜检查、眼前段光学相干断层扫描(ASOCT)和光学生物测量(IOL Master)。进行统计分析以确定与EOPACG相关的危险因素,如眼轴长度(AL)、晶状体厚度(LT)、晶状体拱高(LV)、前房深度(ACD)、前房面积(ACA)以及ASOCT上的其他参数。

主要观察指标

确定眼部生物特征相关性以及区分青光眼眼和可疑青光眼眼的潜在临界值。

结果

生物测量结果显示,与EOPACS和EOPAC相比,EOPACG患者的眼睛中AL最短,而ACD、ACA和ASOCT角度参数最窄(p < 0.001;Bonferroni/Dunn检验)。同样,EOPACG患者眼睛的LV和LT最高(p < 0.001)。逻辑回归分析显示,ACD对EOPACG的预测能力最高(ACD≤2.73mm,OR 4.36,AUC 0.72),其次是LT(LT≥4.22mm,OR 4.2,AUC 0.71)和ACA(ACA≤17.24mm,OR 3.04,AUC 0.7)。

结论

本研究强调了眼部生物测量的重要性,尤其是ACD和LT,它们有助于对EOPACD患者进行分层,以便早期发现青光眼。晶状体增厚导致前房拥挤似乎是明确青光眼患者眼睛中最常见的生物特征。

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