State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou.
Department of Ophthalmology, Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou.
J Glaucoma. 2024 Mar 1;33(3):195-205. doi: 10.1097/IJG.0000000000002307. Epub 2023 Sep 20.
Biometric parameters, including binocular difference of anterior chamber depth (ACD), lens vault (LV) in affected eyes, and binocular difference of the LV, had high efficiency in diagnosing acute angle closure (AAC) with zonular laxity.
To investigate the ocular biometric characteristics of eyes with AAC with zonular laxity to further explore the sensitive parameters for preoperative diagnosis.
This study included 50 patients with AAC with zonular laxity and 54 patients with AAC without zonular laxity. Demographic data, ocular examination results, and biometric parameters on ultrasound biomicroscopy images were compared between the affected and fellow eyes in 2 groups. Parameters significant in the multiple linear regression model were included in a regression equation and the diagnostic efficiency was evaluated by area under the curve.
In patients with AAC with zonular laxity, the binocular difference of central ACD, LV in affected eyes, and binocular difference of the LV were significantly larger than those in patients without zonular laxity respectively and these three parameters were all significant in multiple linear regression analysis (all P <0.001). The area under the curve of binocular difference of ACD, LV in affected eyes, and binocular difference of LV were 0.972, 0.796, and 0.855, respectively, with the cutoff values of 0.23, 1.28, and 0.19 mm. The regression equation containing these three parameters was: ln ( P /(1- P ))=-4.322 + 1.222 [LV in affected eyes (mm)] + 3.657 [binocular difference of LV (mm)] + 6.542 [binocular difference of ACD (mm)], with the accuracy of prediction reaching 94.05%.
Binocular difference of ACD, LV in affected eyes, and binocular difference of LV had high efficiency in diagnosing AAC with zonular laxity.
生物测量参数，包括双眼前房深度（ACD）差、受影响眼中的晶状体拱高（LV）和双眼 LV 差，在诊断伴有悬韧带松弛的急性闭角型青光眼（AAC）方面具有高效性。
探讨伴有悬韧带松弛的 AAC 眼的眼部生物测量特征，以进一步探索术前诊断的敏感参数。
本研究纳入 50 例伴有悬韧带松弛的 AAC 患者和 54 例不伴有悬韧带松弛的 AAC 患者。比较两组患者患眼和对侧眼的人口统计学资料、眼部检查结果和超声生物显微镜图像的生物测量参数。将多元线性回归模型中显著的参数纳入回归方程，并通过曲线下面积评估诊断效率。
在伴有悬韧带松弛的 AAC 患者中，双眼 ACD 中央差值、受影响眼 LV 和双眼 LV 差值均显著大于不伴有悬韧带松弛的患者，且这三个参数在多元线性回归分析中均有统计学意义（均 P<0.001）。双眼 ACD 差值、受影响眼 LV 差值和双眼 LV 差值的曲线下面积分别为 0.972、0.796 和 0.855，截断值分别为 0.23、1.28 和 0.19 mm。包含这三个参数的回归方程为：ln（P/（1-P））=-4.322+1.222[受影响眼 LV（mm）]+3.657[双眼 LV 差值（mm）]+6.542[双眼 ACD 差值（mm）]，预测准确率达 94.05%。
双眼 ACD 差值、受影响眼 LV 差值和双眼 LV 差值在诊断伴有悬韧带松弛的 AAC 方面具有高效性。
