Association of Reticular Pseudodrusen Burden and Dark Adaptation in Nonadvanced Age-Related Macular Degeneration: A Cross-Sectional and Longitudinal Study.

IF 5.9 Q1 OPHTHALMOLOGY
Ariel Yuhan Ong, Robbert R Struvyen, David A Merle, Kevin Mendez, Helia Ashourizadeh, Souvick Mukherjee, Afonso Lima-Cabrita, Jooyoung Chang, Dylan Wu, Shrinivas Pundlik, Demetrios G Vavvas, Ivana K Kim, Joan W Miller, Zhichao Wu, Pearse A Keane, John B Miller, Deeba Husain, Ines Lains
{"title":"Association of Reticular Pseudodrusen Burden and Dark Adaptation in Nonadvanced Age-Related Macular Degeneration: A Cross-Sectional and Longitudinal Study.","authors":"Ariel Yuhan Ong, Robbert R Struvyen, David A Merle, Kevin Mendez, Helia Ashourizadeh, Souvick Mukherjee, Afonso Lima-Cabrita, Jooyoung Chang, Dylan Wu, Shrinivas Pundlik, Demetrios G Vavvas, Ivana K Kim, Joan W Miller, Zhichao Wu, Pearse A Keane, John B Miller, Deeba Husain, Ines Lains","doi":"10.1016/j.oret.2026.09.003","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Dark adaptation (DA) is an emerging functional outcome in age-related macular degeneration (AMD). Although reticular pseudodrusen (RPD) have been linked to poorer DA, previous studies have largely assessed RPD presence/absence or comprised small cross-sectional cohorts. We investigated whether automated quantification of RPD area and volume is associated with rod-mediated DA and its longitudinal decline in nonadvanced AMD.</p><p><strong>Design: </strong>Prospective cross-sectional and longitudinal study.</p><p><strong>Participants: </strong>Patients with nonadvanced AMD and controls aged >50 years.</p><p><strong>Methods: </strong>Participants underwent multimodal retinal imaging and extended protocol DA testing (20-minutes; AdaptDx, MacuLogix), yielding rod intercept time (RIT) and area under the DA curve (AUDAC). A deep learning algorithm quantified RPD en face area (mm<sup>2</sup>, square-root transformed) and volume (mm<sup>3</sup>, cube-root transformed), including within the DA testing locus. Linear mixed-effects models were used, accounting for age, sex, smoking, classic drusen volume, and inter-eye correlation.</p><p><strong>Main outcome measures: </strong>Cross-sectional and longitudinal associations of RPD burden with RIT and AUDAC.</p><p><strong>Results: </strong>We included 545 eyes (52 early AMD, 285 intermediate AMD, 208 controls) from 310 patients (mean age, 69.6 ± 7.4 years); 128 (23.5%) had RPD. Greater RPD area and volume were associated with prolonged RIT (β = 1.59, P = 0.002; β = 9.29, P = 9.78 × 10<sup>-5</sup>, respectively) and higher AUDAC (β = 0.032, P = 2.15 × 10<sup>-4</sup>; β = 0.166, P = 5.88 × 10<sup>-5</sup>, respectively). Overall macular RPD burden, rather than local burden at the testing locus, was independently associated with worse AUDAC (β = 0.005, P = 0.001). Longitudinally (n = 204 eyes; mean age, 2.8 ± 1.8 years), RPD presence (β = 0.011, P = 0.0067), area (β = 0.012, P = 4.48 × 10<sup>-4</sup>), and volume (β = 0.054, P = 2.11 × 10<sup>-4</sup>) were associated with faster AUDAC decline, and predictive of subsequent AUDAC (β = 0.048, P = 6.72 × 10<sup>-5</sup> and β = 0.198, P = 2.02 × 10<sup>-4</sup>).</p><p><strong>Conclusions: </strong>Quantitative RPD burden is independently associated with impaired rod-mediated DA and subsequent functional decline, supporting its value as a prognostic structural biomarker for risk stratification and monitoring in nonadvanced AMD.</p><p><strong>Financial disclosure(s): </strong>Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.</p>","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":" ","pages":""},"PeriodicalIF":5.9000,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ophthalmology. Retina","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.oret.2026.09.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Dark adaptation (DA) is an emerging functional outcome in age-related macular degeneration (AMD). Although reticular pseudodrusen (RPD) have been linked to poorer DA, previous studies have largely assessed RPD presence/absence or comprised small cross-sectional cohorts. We investigated whether automated quantification of RPD area and volume is associated with rod-mediated DA and its longitudinal decline in nonadvanced AMD.

Design: Prospective cross-sectional and longitudinal study.

Participants: Patients with nonadvanced AMD and controls aged >50 years.

Methods: Participants underwent multimodal retinal imaging and extended protocol DA testing (20-minutes; AdaptDx, MacuLogix), yielding rod intercept time (RIT) and area under the DA curve (AUDAC). A deep learning algorithm quantified RPD en face area (mm2, square-root transformed) and volume (mm3, cube-root transformed), including within the DA testing locus. Linear mixed-effects models were used, accounting for age, sex, smoking, classic drusen volume, and inter-eye correlation.

Main outcome measures: Cross-sectional and longitudinal associations of RPD burden with RIT and AUDAC.

Results: We included 545 eyes (52 early AMD, 285 intermediate AMD, 208 controls) from 310 patients (mean age, 69.6 ± 7.4 years); 128 (23.5%) had RPD. Greater RPD area and volume were associated with prolonged RIT (β = 1.59, P = 0.002; β = 9.29, P = 9.78 × 10-5, respectively) and higher AUDAC (β = 0.032, P = 2.15 × 10-4; β = 0.166, P = 5.88 × 10-5, respectively). Overall macular RPD burden, rather than local burden at the testing locus, was independently associated with worse AUDAC (β = 0.005, P = 0.001). Longitudinally (n = 204 eyes; mean age, 2.8 ± 1.8 years), RPD presence (β = 0.011, P = 0.0067), area (β = 0.012, P = 4.48 × 10-4), and volume (β = 0.054, P = 2.11 × 10-4) were associated with faster AUDAC decline, and predictive of subsequent AUDAC (β = 0.048, P = 6.72 × 10-5 and β = 0.198, P = 2.02 × 10-4).

Conclusions: Quantitative RPD burden is independently associated with impaired rod-mediated DA and subsequent functional decline, supporting its value as a prognostic structural biomarker for risk stratification and monitoring in nonadvanced AMD.

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

非晚期年龄相关性黄斑变性中网状假性眼膜负担与暗适应的关联:一项横断面和纵向研究。
目的:暗适应(DA)已成为评估年龄相关性黄斑变性(AMD)的潜在功能结果。虽然网状假性肾衰竭(RPD)与较差的DA有关,但迄今为止,大多数研究都集中在定性的RPD存在/不存在或包括小的横断面队列。这项工作旨在评估RPD面积和体积的自动量化与非晚期AMD中棒介导的DA及其纵向下降的关系。设计:前瞻性横断面和纵向研究。参与者:来自马萨诸塞州眼耳AMD生物标志物研究的非晚期AMD患者和对照组,年龄均在50岁以上。方法:所有受试者在20分钟延长方案(AdaptDx, MacuLogix)下进行基线多模态视网膜成像和DA测试。计算杆截距时间(RIT)和暗适应曲线下面积(AUDAC)。采用深度学习算法量化RPD的面面积(mm2)和体积(mm3),分别进行平方根和立方根变换进行分析。同时测量DA检测位点内的RPD程度。线性混合效应模型评估了RPD负担与DA指标的关系,考虑了年龄、性别、吸烟、经典醉酒量和眼间相关性。主要结局指标:RPD负担与暗适应(RIT和AUDAC)在横断面和纵向基础上的关联结果:我们纳入了310例患者(平均69.6±7.4岁)的545只眼睛(52只早期AMD, 285只中期AMD, 208只对照)。128例(23.5%)有RPD。较大的RPD面面积和体积与延长RIT (β 1.59, p=0.002和β 9.29, p=9.78 × 10-5)和较高的AUDAC (β 0.032, p=2.15 × 10-4和β 0.166, p=5.88 × 10-5)相关。总体黄斑RPD负担,而不是DA检测位点的局部密度,与AUDAC恶化独立相关(β 0.005, p=0.001)。在纵向分析(n=204只眼,平均2.8±1.8年)中,RPD的存在(β 0.011, p=0.0067)、面部面积(β 0.012, p=4.48 x 10-4)和体积(β 0.054, p=2.11 x 10-4)均与AUDAC随时间的更快下降率显著相关,并可预测任何后续随访的AUDAC (β 0.048, p=6.72 x 10-5和β 0.198, p=2.02 x 10-4)。结论:定量RPD负担与杆状介导的DA受损以及随后的功能下降独立相关,支持其作为非晚期AMD风险分层和进展监测的预后结构生物标志物的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Ophthalmology. Retina
Ophthalmology. Retina Medicine-Ophthalmology
CiteScore
7.80
自引率
6.70%
发文量
274
审稿时长
33 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书