评估虚拟现实视野分析仪在城市,服务不足的青光眼和青光眼疑似患者人群,以确定差异。

Owais M Aftab, Yash S Shah, Anup Dupaguntla, Tracy Andrews, Rashika Verma, Jasmine Mahajan, Priya Tailor, Rita Vought, Bernard C Szirth, Albert S Khouri, Miriam M Habiel
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引用次数: 0

摘要

目的:评估可穿戴式视野验光仪在城市服务不足的患者群体中的效用,并确定其作为筛查工具的效用差异。方法:105名受试者175只眼(34名受试者46只非青光眼,74名受试者113只青光眼;在新泽西州纽瓦克大学医院进行青光眼评估的16只眼睛未达到纳入标准,并通过Humphrey视野分析仪™(HFA)和PalmScan VF2000 G2™进行测试。根据Hoddap标准对青光眼的严重程度进行分类。平均偏差(MD)、模式标准差(PSD)、视野指数(VFI)、平均灵敏度(MS)和经眼间相关性调整后的受者工作曲线下面积(AUC)。结果:VF2000和HFA在VFI上有显著差异,因为VF2000一直低估VFI (p = 0.003),但在MD (p = 0.664)和PSD (p = 0.584)上无显著差异。结论:我们对汉弗莱视野与虚拟现实PalmScan VF2000 G2™在城市不同人群中的分析发现,青光眼的预测分期存在微妙的差异。未来的研究可能需要通过评估人口相互作用的组合来解释这些差异,而不是将它们作为独立的、不相关的因素进行评估。便携式视距仪和虚拟现实耳机在青光眼筛查中有中等疗效,但与Humphrey视野分析仪相比,结果质量存在差距。PalmScan VF2000 G2是一种便携式眼角膜检查耳机,可能适合作为一种筛查设备,但它还不够先进,不能像HFA分析那样有效地区分青光眼的分期。在VF2000对青光眼的检测中,健康的社会决定因素确实存在差异,尽管这些表现可能是微妙的,并且与许多复杂因素的相互作用有关。未来的研究可能受益于检验作为预测结果变量的人口因素之间的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating a virtual reality visual fields analyzer in an urban, underserved glaucoma & glaucoma suspect patient populations to identify disparities.

Purpose: To evaluate the utility of wearable visual field perimetry in an urban, underserved patient population and identify disparities in its utility as a screening tool.

Methods: 175 eyes from 105 participants (46 non-glaucomatous eyes from 34 participants and 113 glaucomatous eyes from 74 participants; 16 eyes failed inclusion criteria) presenting at University Hospital in Newark, New Jersey for glaucoma evaluation underwent testing by both the Humphrey Visual Field Analyzer™ (HFA) and PalmScan VF2000 G2™. Glaucoma severity was classified as per the Hoddap criteria. Mean deviation (MD), pattern standard deviation (PSD), visual field index (VFI), mean sensitivity (MS), & area under the receiver operating curve (AUC) on analysis adjusted for inter-eye correlation.

Results: The VF2000 and HFA significantly differed in VFI as the VF2000 consistently underestimated VFI (p = 0.003) but did not significantly differ in MD (p = 0.664) or PSD (p = 0.584). The VF2000 had significantly fewer false positives (p < 0.001) and fixation losses (p = 0.001) but was a significantly longer exam (p = 0.018). On a multivariate logistic regression model adjusting for both inter-eye correlation and demographic variables, the VF2000 had an AUC of 0.7007, indicating fair agreement when identifying severe glaucoma. Language, age, and sex did not independently impact odds of agreement between the two devices; however, differences based on the interaction of age and language were observed.

Conclusion: Our analysis of the Humphrey Visual Field against the virtual reality PalmScan VF2000 G2™ in an urban, diverse population found subtle disparities in predictive staging of glaucoma. Future studies may need to account for these disparities by evaluating the combinations of demographic interactions rather than evaluating them as independent, unrelated factors.

Key messages: What is known Portable perimetry and virtual reality headsets have been used with moderate efficacy in screenings for glaucoma, but gaps exist in the quality of results as compared to the Humphrey Visual Fields Analyzer. What is new The PalmScan VF2000 G2, a portable perimetry headset, may be suitable as a screening device, but it is not advanced enough to differentiate glaucoma stage as effectively as HFA analysis. Disparities along social determinants of health do exist in VF2000 detection of glaucoma, though these manifestations may be subtle and tied to the interaction of many complex factors. Future studies may benefit from examining the interaction between demographic factors as variables predictive of outcome.

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