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能更好预测兄弟姐妹闭角风险的眼科检查及影像学特征

Ophthalmological Examination and Imaging Features that Better Predict Risk of Angle Closure in Siblings.

作者信息

Mudalegundi Shwetha, Mihailovic Aleksandra, Almidani Louay, Ciociola Elizabeth C, Zebardast Nazlee, Rajendrababu Sharmila, Kader Mohideen Abdul, Raman Ganesh V, Rengaraj Venkatesh, Srinivasan Kavitha, Ramulu Pradeep Y

机构信息

Wilmer Eye Institute, John Hopkins University, Baltimore, Maryland.

Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.

出版信息

Ophthalmol Glaucoma. 2025 Jan-Feb;8(1):12-21. doi: 10.1016/j.ogla.2024.09.003. Epub 2024 Sep 26.

Abstract

OBJECTIVE

Characteristics of individuals with angle closure may be useful in targeted screening of family members. Here, we assess if findings gathered during examination and imaging of patients with a known angle-closure diagnosis (probands) could better determine the risk of angle closure in the patients' siblings.

DESIGN

Cross-sectional study of patients with known angle closure and their siblings.

PARTICIPANTS

South Indian patients (probands) 30 years and older with open angles, primary angle-closure suspect (PACS), or primary angle closure/primary angle-closure glaucoma (PAC/PACG) and a biological sibling age 30 years or older (n = 292 proband/sibling pairs).

METHODS

Demographic data, relevant ocular history, and a comprehensive ophthalmic examination with anterior segment OCT (AS-OCT) were obtained. Three clinically relevant models were created to analyze the contribution of specific proband factors in predicting sibling angle-closure diagnosis, using demographic (age, sex), ocular examination (gonioscopy, optic nerve examination, visual acuity, intraocular pressure), and AS-OCT features to improve prediction beyond proband diagnosis alone evaluated by log likelihood ratio testing and statistical comparison of receiver operating characteristics (ROCs).

MAIN OUTCOME MEASURES

Sibling angle-closure diagnostic accuracy.

RESULTS

Demographic and ocular examination metrics did not improve the prediction of sibling angle closure for all 3 outcomes (sibling diagnosis: (1) PACS/PAC/PACG vs. OA, (2) PAC/PACG vs. PACS/OA, and (3) PAC/PACG vs. PACS), adding no model improvement when compared to diagnosis alone. Models adding AS-OCT metrics to the prior model including proband diagnosis, demographics, and ocular examination measures led to significantly improved prediction of 2 of the 3 angle-closure outcomes. Specifically, improvement was noted via likelihood ratio testing for prediction of PAC/PACG vs. PACS/OA (P = 0.01) or PAC/PACG vs. PACS (P = 0.001). For all 3 angle-closure outcomes, ROC comparisons demonstrated significant improvement in area under the curve (AUC) between the 3 models predicting sibling outcomes, demonstrating an increase in AUC with each successive nested model across all 3 sibling angle-closure outcomes.

CONCLUSIONS

Structural features of eyes with angle closure may assist in stratifying the risk of angle closure in patients' siblings. Further studies should consider evaluating this approach to achieve more targeted screenings.

FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

摘要

目的

闭角型青光眼患者的特征可能有助于对其家庭成员进行针对性筛查。在此,我们评估在已知闭角型青光眼诊断的患者(先证者)检查和成像过程中收集的结果是否能更好地确定患者兄弟姐妹患闭角型青光眼的风险。

设计

对已知闭角型青光眼患者及其兄弟姐妹进行横断面研究。

参与者

年龄30岁及以上的南印度患者(先证者),患有开角型青光眼、原发性闭角型青光眼可疑(PACS)或原发性闭角型青光眼/原发性闭角型青光眼性青光眼(PAC/PACG),以及年龄30岁及以上的生物学兄弟姐妹(n = 292对先证者/兄弟姐妹)。

方法

获取人口统计学数据、相关眼部病史,并进行包括眼前节光学相干断层扫描(AS - OCT)的全面眼科检查。创建了三个临床相关模型,以分析特定先证者因素在预测兄弟姐妹闭角型青光眼诊断中的作用,使用人口统计学(年龄、性别)、眼部检查(前房角镜检查、视神经检查、视力、眼压)和AS - OCT特征,通过对数似然比检验和受试者操作特征曲线(ROC)的统计比较,以改善仅基于先证者诊断的预测。

主要观察指标

兄弟姐妹闭角型青光眼诊断的准确性。

结果

人口统计学和眼部检查指标并未改善所有3种结果(兄弟姐妹诊断:(1)PACS/PAC/PACG与开角型青光眼(OA),(2)PAC/PACG与PACS/OA,以及(3)PAC/PACG与PACS)中兄弟姐妹闭角型青光眼的预测,与仅基于诊断相比,未改善模型。在先证者诊断、人口统计学和眼部检查指标的先前模型中加入AS - OCT指标的模型,使3种闭角型青光眼结果中的2种预测得到显著改善。具体而言,通过似然比检验,在预测PAC/PACG与PACS/OA(P = 0.01)或PAC/PACG与PACS(P = 0.001)时发现有改善。对于所有3种闭角型青光眼结果,ROC比较显示,预测兄弟姐妹结果时的3个模型之间曲线下面积(AUC)有显著改善,表明在所有3种兄弟姐妹闭角型青光眼结果中,随着每个连续嵌套模型,AUC均增加。

结论

闭角型青光眼患者眼睛的结构特征可能有助于对患者兄弟姐妹的闭角型青光眼风险进行分层。进一步的研究应考虑评估这种方法以实现更有针对性的筛查。

财务披露

本文末尾的脚注和披露中可能会发现专有或商业披露信息。

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