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[EyeMatics——基于可互操作医学信息学的真实世界数据多中心评估]

[EyeMatics-Multicenter data evaluation of real-world data with interoperable medical informatics].

作者信息

Holtrup Lea, Varghese Julian, Schuster Alexander K, Poschkamp Broder, Hampf Christopher, Waltemath Dagmar, Wahle Leonie, Lipprandt Myriam, Merle David A, Berens Philipp, Kohlbacher Oliver, Kakkassery Vinodh, Bartos Martin, Ziemssen Focke, Wendt Thomas, Hoffmann Katja, Eter Nicole

机构信息

Klinik für Augenheilkunde, Universitätsklinikum Münster, Domagkstr. 15, 48149, Münster, Deutschland.

Institut für Medizinische Informatik, Universität Münster, Münster, Deutschland.

出版信息

Ophthalmologie. 2025 Apr;122(4):270-277. doi: 10.1007/s00347-024-02135-0. Epub 2024 Nov 14.

DOI:10.1007/s00347-024-02135-0
PMID:39542916
Abstract

The evaluation of real-world data (RWD) enables insights to be gained from a wide range of patient data collected in routine clinical practice. In addition, multicenter analyses represent a broad and representative patient population and have the potential to capture the actual treatment situation. As a basis for this, the definition of datasets and an infrastructure for data exchange is necessary. Data integration centers (DIC) have already been established at (university) hospitals throughout Germany in order to extract RWD for scientific analyses from the various source systems and integrate them into research-compatible data infrastructures. The project described here aims to demonstrate the added value of this data integration using a case of application in ophthalmology, defining a core dataset as an ophthalmology extension module and establishing a cross-site data exchange infrastructure. As a first step, the treatment success of eye diseases treated with intravitreal injection (IVI) should be improved. To achieve this goal a dashboard for clinical data is provided that clearly visualizes the merged data. Furthermore, algorithms will be developed to identify new imaging biomarkers that can be used for treatment monitoring and predict treatment outcomes.

摘要

对真实世界数据(RWD)的评估有助于从日常临床实践中收集的广泛患者数据中获取见解。此外,多中心分析代表了广泛且具有代表性的患者群体,有潜力捕捉实际治疗情况。以此为基础,数据集的定义和数据交换基础设施是必要的。德国各地的(大学)医院已经设立了数据整合中心(DIC),以便从各种源系统中提取RWD用于科学分析,并将其整合到与研究兼容的数据基础设施中。本文所述项目旨在通过眼科的一个应用案例展示这种数据整合的附加价值,将一个核心数据集定义为眼科扩展模块,并建立跨站点数据交换基础设施。作为第一步,应提高玻璃体内注射(IVI)治疗眼病的成功率。为实现这一目标,提供了一个临床数据仪表板,可清晰直观地显示合并后的数据。此外,还将开发算法以识别可用于治疗监测和预测治疗结果的新影像生物标志物。

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2
Using Deep Learning to Distinguish Highly Malignant Uveal Melanoma from Benign Choroidal Nevi.利用深度学习区分高恶性葡萄膜黑色素瘤与良性脉络膜痣。
J Clin Med. 2024 Jul 16;13(14):4141. doi: 10.3390/jcm13144141.
3
Analysis of prognostic and predictive factors in neovascular age-related macular degeneration Kuopio cohort.
新生血管性年龄相关性黄斑变性 Kuopio 队列的预后和预测因素分析。
Acta Ophthalmol. 2024 Sep;102(6):703-713. doi: 10.1111/aos.16681. Epub 2024 Apr 10.
4
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Pharmaceutics. 2024 Feb 23;16(3):314. doi: 10.3390/pharmaceutics16030314.
5
Anti-VEGF Drugs in Age-Related Macular Degeneration: A Focus on Dosing Regimen-Related Safety and Efficacy.抗血管内皮生长因子药物在年龄相关性黄斑变性中的应用:关注与剂量方案相关的安全性和疗效。
Drugs Aging. 2023 Nov;40(11):991-1007. doi: 10.1007/s40266-023-01068-8. Epub 2023 Oct 20.
6
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Nature. 2023 Oct;622(7981):156-163. doi: 10.1038/s41586-023-06555-x. Epub 2023 Sep 13.
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Effect of High-Dose Intravitreal Aflibercept, 8 mg, in Patients With Neovascular Age-Related Macular Degeneration: The Phase 2 CANDELA Randomized Clinical Trial.高剂量玻璃体内注射阿柏西普,8 毫克,治疗新生血管性年龄相关性黄斑变性患者的疗效:CANDELA 随机临床试验的 2 期研究。
JAMA Ophthalmol. 2023 Sep 1;141(9):834-842. doi: 10.1001/jamaophthalmol.2023.2421.
8
Approval and Certification of Ophthalmic AI Devices in the European Union.欧盟眼科人工智能设备的批准与认证
Ophthalmol Ther. 2023 Apr;12(2):633-638. doi: 10.1007/s40123-023-00652-w. Epub 2023 Jan 18.
9
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Ophthalmologie. 2023 Jul;120(7):717-725. doi: 10.1007/s00347-022-01804-2. Epub 2023 Jan 12.
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Nutrients. 2022 May 11;14(10):2016. doi: 10.3390/nu14102016.