与新生血管性年龄相关性黄斑变性(nAMD)玻璃体内法尼单抗第一年治疗间隔相关的基线特征。

IF 2 Q2 OPHTHALMOLOGY BMJ Open Ophthalmology Pub Date : 2024-10-01 DOI:10.1136/bmjophth-2024-001855
Parth Shah, Neala Rafijah, Yannan Tang, Sobha Sivaprasad, Thibaud Mathis, Philippe Margaron, Aachal Kotecha
{"title":"与新生血管性年龄相关性黄斑变性(nAMD)玻璃体内法尼单抗第一年治疗间隔相关的基线特征。","authors":"Parth Shah, Neala Rafijah, Yannan Tang, Sobha Sivaprasad, Thibaud Mathis, Philippe Margaron, Aachal Kotecha","doi":"10.1136/bmjophth-2024-001855","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>To identify baseline characteristics that best correlate to treatment interval for naive neovascular age-related macular degeneration patients treated with faricimab in the first year (Y1) of the TENAYA and LUCERNE phase 3 trials, and to further understand how these characteristics may impact treatment intervals.</p><p><strong>Methods: </strong>This post-hoc analysis of Y1 data from the TENAYA and LUCERNE trials evaluated ocular baseline characteristics associated with Y1 treatment intervals. Patients were categorised into three subgroups based on their Y1 treatment interval: Q16W, Q12W or Q8W. Baseline characteristics (central subfield thickness (CST), best-corrected visual acuity, presence of subretinal fluid in centre 1 mm, presence of retinal fluid in centre 1 mm, macular neovascularisation (MNV) location and MNV type) were inputted into an R package 'rpart' to create a classification tree model. A data-driven tree model based on CST was fitted, producing CST subgroups of low, middle and high ranges. Within each CST subgroup, the model identified the most impactful variables and associated thresholds.</p><p><strong>Results: </strong>After fitting the data to produce data-driven CST ranges, the model chose MNV location, followed by MNV lesion type as the most impactful baseline characteristics with these factors having a p value <0.05 in a multivariate analysis.</p><p><strong>Conclusions: </strong>Among the selected ocular baseline characteristics from TENAYA and LUCERNE trial, CST, MNV type and MNV location were seen as the most relevant variables to enable extension of treatment intervals during Y1. While this analysis provides insights for treatment intervals during the first year, further analysis incorporating Y2 data from the TENAYA and LUCERNE studies will be needed to assess factors influencing treatment intervals over a longer period.</p>","PeriodicalId":9286,"journal":{"name":"BMJ Open Ophthalmology","volume":"9 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448128/pdf/","citationCount":"0","resultStr":"{\"title\":\"Baseline characteristics associated with the first year treatment interval of intravitreal faricimab in neovascular age-related macular degeneration (nAMD).\",\"authors\":\"Parth Shah, Neala Rafijah, Yannan Tang, Sobha Sivaprasad, Thibaud Mathis, Philippe Margaron, Aachal Kotecha\",\"doi\":\"10.1136/bmjophth-2024-001855\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>To identify baseline characteristics that best correlate to treatment interval for naive neovascular age-related macular degeneration patients treated with faricimab in the first year (Y1) of the TENAYA and LUCERNE phase 3 trials, and to further understand how these characteristics may impact treatment intervals.</p><p><strong>Methods: </strong>This post-hoc analysis of Y1 data from the TENAYA and LUCERNE trials evaluated ocular baseline characteristics associated with Y1 treatment intervals. Patients were categorised into three subgroups based on their Y1 treatment interval: Q16W, Q12W or Q8W. Baseline characteristics (central subfield thickness (CST), best-corrected visual acuity, presence of subretinal fluid in centre 1 mm, presence of retinal fluid in centre 1 mm, macular neovascularisation (MNV) location and MNV type) were inputted into an R package 'rpart' to create a classification tree model. A data-driven tree model based on CST was fitted, producing CST subgroups of low, middle and high ranges. Within each CST subgroup, the model identified the most impactful variables and associated thresholds.</p><p><strong>Results: </strong>After fitting the data to produce data-driven CST ranges, the model chose MNV location, followed by MNV lesion type as the most impactful baseline characteristics with these factors having a p value <0.05 in a multivariate analysis.</p><p><strong>Conclusions: </strong>Among the selected ocular baseline characteristics from TENAYA and LUCERNE trial, CST, MNV type and MNV location were seen as the most relevant variables to enable extension of treatment intervals during Y1. While this analysis provides insights for treatment intervals during the first year, further analysis incorporating Y2 data from the TENAYA and LUCERNE studies will be needed to assess factors influencing treatment intervals over a longer period.</p>\",\"PeriodicalId\":9286,\"journal\":{\"name\":\"BMJ Open Ophthalmology\",\"volume\":\"9 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448128/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Open Ophthalmology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjophth-2024-001855\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPHTHALMOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Open Ophthalmology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjophth-2024-001855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:确定在TENAYA和LUCERNE 3期试验的第一年(Y1)中接受法尼单抗治疗的新生血管性年龄相关性黄斑变性患者与治疗间隔最相关的基线特征,并进一步了解这些特征如何影响治疗间隔:这项对 TENAYA 和 LUCERNE 试验第一年数据的事后分析评估了与第一年治疗间隔相关的眼部基线特征。根据 Y1 治疗间隔将患者分为三个亚组:Q16W、Q12W 或 Q8W。基线特征(中央子野厚度 (CST)、最佳矫正视力、中心 1 mm 内是否存在视网膜下积液、中心 1 mm 内是否存在视网膜积液、黄斑新生血管 (MNV) 位置和 MNV 类型)被输入 R 软件包 "rpart",以创建分类树模型。基于 CST 的数据驱动树模型经过拟合,产生了低、中、高范围的 CST 亚组。在每个 CST 子组中,该模型确定了影响最大的变量和相关阈值:结果:在对数据进行拟合以得出数据驱动的 CST 范围后,模型选择了 MNV 位置,其次是 MNV 病变类型作为影响最大的基线特征,这些因素的 p 值均为结论:在 TENAYA 和 LUCERNE 试验所选的眼部基线特征中,CST、MNV 类型和 MNV 位置被认为是与延长 Y1 治疗间隔最相关的变量。虽然这项分析为第一年的治疗间隔提供了启示,但还需要结合 TENAYA 和 LUCERNE 研究的第二年数据进行进一步分析,以评估影响更长时间治疗间隔的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Baseline characteristics associated with the first year treatment interval of intravitreal faricimab in neovascular age-related macular degeneration (nAMD).

Aims: To identify baseline characteristics that best correlate to treatment interval for naive neovascular age-related macular degeneration patients treated with faricimab in the first year (Y1) of the TENAYA and LUCERNE phase 3 trials, and to further understand how these characteristics may impact treatment intervals.

Methods: This post-hoc analysis of Y1 data from the TENAYA and LUCERNE trials evaluated ocular baseline characteristics associated with Y1 treatment intervals. Patients were categorised into three subgroups based on their Y1 treatment interval: Q16W, Q12W or Q8W. Baseline characteristics (central subfield thickness (CST), best-corrected visual acuity, presence of subretinal fluid in centre 1 mm, presence of retinal fluid in centre 1 mm, macular neovascularisation (MNV) location and MNV type) were inputted into an R package 'rpart' to create a classification tree model. A data-driven tree model based on CST was fitted, producing CST subgroups of low, middle and high ranges. Within each CST subgroup, the model identified the most impactful variables and associated thresholds.

Results: After fitting the data to produce data-driven CST ranges, the model chose MNV location, followed by MNV lesion type as the most impactful baseline characteristics with these factors having a p value <0.05 in a multivariate analysis.

Conclusions: Among the selected ocular baseline characteristics from TENAYA and LUCERNE trial, CST, MNV type and MNV location were seen as the most relevant variables to enable extension of treatment intervals during Y1. While this analysis provides insights for treatment intervals during the first year, further analysis incorporating Y2 data from the TENAYA and LUCERNE studies will be needed to assess factors influencing treatment intervals over a longer period.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
BMJ Open Ophthalmology
BMJ Open Ophthalmology OPHTHALMOLOGY-
CiteScore
3.40
自引率
4.20%
发文量
104
审稿时长
20 weeks
期刊最新文献
Investigation of choroidal vascular alterations in eyes with myopia using ultrawidefield optical coherence tomography angiography. Recent advances in the application of artificial intelligence in age-related macular degeneration. Network-based hub biomarker discovery for glaucoma. Investigating the effects of simulated high altitude on colour discrimination. Total retinal thickness is an important factor in evaluating diabetic retinal neurodegeneration.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1