Shwetha Mudalegundi BS , Aleksandra Mihailovic ScM , Louay Almidani MD, MSc , Elizabeth C. Ciociola MD , Nazlee Zebardast MD, MS , Sharmila Rajendrababu MD , Mohideen Abdul Kader MD , Ganesh V. Raman MD , Venkatesh Rengaraj MD , Kavitha Srinivasan MD , Pradeep Y. Ramulu MD, PhD
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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.</div></div><div><h3>Design</h3><div>Cross-sectional study of patients with known angle closure and their siblings.</div></div><div><h3>Participants</h3><div>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 (<em>n</em> = 292 proband/sibling pairs).</div></div><div><h3>Methods</h3><div>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).</div></div><div><h3>Main Outcome Measures</h3><div>Sibling angle-closure diagnostic accuracy.</div></div><div><h3>Results</h3><div>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 (<em>P</em> = 0.01) or PAC/PACG vs. PACS (<em>P</em> = 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.</div></div><div><h3>Conclusions</h3><div>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.</div></div><div><h3>Financial Disclosure(s)</h3><div>Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.</div></div>","PeriodicalId":19519,"journal":{"name":"Ophthalmology. Glaucoma","volume":"8 1","pages":"Pages 12-21"},"PeriodicalIF":2.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ophthalmological Examination and Imaging Features that Better Predict Risk of Angle Closure in Siblings\",\"authors\":\"Shwetha Mudalegundi BS , Aleksandra Mihailovic ScM , Louay Almidani MD, MSc , Elizabeth C. Ciociola MD , Nazlee Zebardast MD, MS , Sharmila Rajendrababu MD , Mohideen Abdul Kader MD , Ganesh V. Raman MD , Venkatesh Rengaraj MD , Kavitha Srinivasan MD , Pradeep Y. 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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).</div></div><div><h3>Main Outcome Measures</h3><div>Sibling angle-closure diagnostic accuracy.</div></div><div><h3>Results</h3><div>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 (<em>P</em> = 0.01) or PAC/PACG vs. PACS (<em>P</em> = 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.</div></div><div><h3>Conclusions</h3><div>Structural features of eyes with angle closure may assist in stratifying the risk of angle closure in patients’ siblings. 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引用次数: 0
摘要
目的:闭角患者的特征可能有助于对家庭成员进行有针对性的筛查。在此,我们将评估在对已确诊为闭角症的患者(探明者)进行检查和成像时收集的结果是否能更好地确定患者兄弟姐妹患闭角症的风险:设计:对已知角膜闭合患者及其兄弟姐妹进行横断面研究:参与者和对照组:30岁及以上患有开角型青光眼、疑似原发性闭角型青光眼(PACS)或原发性闭角型青光眼/原发性闭角型青光眼(PAC/PACG)的南印度患者(原发性患者)及其30岁及以上的亲生兄弟姐妹(原发性患者/兄弟姐妹对数为292对):方法:获取人口统计学数据、相关眼科病史以及通过前眼底光学相干断层扫描(ASOCT)进行的全面眼科检查。通过对数似然比检验和接受者操作特征(ROC)的统计比较,建立了三个临床相关模型,分析特定原发因素在预测同胞闭角诊断中的作用,利用人口统计学(年龄、性别)、眼部检查(眼底镜检查、视神经检查、视力、眼压[IOP])和ASOCT特征来提高预测效果,从而超越单纯的原发诊断:主要结果测量:兄弟姐妹闭角诊断准确率:结果:人口统计学和眼部检查指标并未改善所有三种结果(同胞诊断:(1) PACS/PAC/PACG vs OA;(2) PAC/PACG vs PACS/OA;(3) PAC/PACG vs PACS)的同胞角膜闭合预测,与单纯诊断相比,未增加任何模型改进。将 ASOCT 指标添加到包括原发性诊断、人口统计学和眼科检查指标在内的先验模型中,可显著改善对 3 个闭角结果中 2 个结果的预测。具体来说,通过似然比检验,PAC/PACG vs PACS/OA(P=0.01)或 PAC/PACG vs PACS(P=0.001)的预测结果均有所改善。对于所有 3 个闭角结果,ROC 比较显示,预测同胞结果的 3 个模型之间的 AUC 有显著改善,在所有 3 个同胞闭角结果中,每个连续嵌套模型的 AUC 都有所提高:结论:角膜闭合患者眼球的结构特征可能有助于对患者兄弟姐妹的角膜闭合风险进行分层。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。
Ophthalmological Examination and Imaging Features that Better Predict Risk of Angle Closure in Siblings
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.