Abstract
In the current literature, clinical registry cohorts related to ocular inflammation are few and far between, and there are none involving multi-continental international data. Many existing registries comprise administrative databases, data related to specific uveitic diseases, or are designed to address a particular clinical problem. The existing data, although useful and serving their intended purposes, are segmented and may not be sufficiently robust to design prognostication tools or draw epidemiological conclusions in the field of uveitis and ocular inflammation. To solve this, we have developed the Ocular Autoimmune Systemic Inflammatory Infectious Study (OASIS) Clinical Registry. OASIS collects prospective and retrospective data on patients with all types of ocular inflammatory conditions from centers all around the world. It is a primarily web-based platform with alternative offline modes of access. A comprehensive set of clinical data ranging from demographics, past medical history, clinical presentation, working diagnosis to visual outcomes are collected over a range of time points. Additionally, clinical images such as optical coherence tomography, fundus fluorescein angiography and indocyanine green angiography studies may be uploaded. Through the capturing of diverse, well-structured, and clinically meaningful data in a simplified and consistent fashion, OASIS will deliver a comprehensive and well organized data set ripe for data analysis. The applications of the registry are numerous, and include performing epidemiological analysis, monitoring drug side effects, and studying treatment safety efficacy. Furthermore, the data compiled in OASIS will be used to develop new classification and diagnostic systems, as well as treatment and prognostication guidelines for uveitis.
摘要
现有文献中, 与眼部炎症相关的临床注册队列很少, 而且没有涉及多中心的国际数据。许多现有的数据库, 包括行政数据库、与特定葡萄球菌疾病有关的数据, 是为了解决特定的临床问题。现有数据库虽然有用且服务于其预期目的, 但数据是不连续的, 可能不足以设计预测工具或得出葡萄膜炎和眼部炎症领域的流行病学结论。为了解决这个问题, 我们开发了眼部自身免疫性全身炎症感染研究 (OASIS) 临床注册数据库。OASIS从世界各地的中心收集所有类型的眼部炎症患者的前瞻性和回顾性数据。它是主要基于Web的平台, 也具有备选的离线访问模式。OASIS在一系列时间点收集了一组全面的临床数据, 从人口统计学、既往病史、临床表现、工作诊断到视觉结局。此外, OASIS可以上传临床图像, 例如相干光断层扫描, 荧光素血管造影和吲哚菁绿血管造影研究。OASIS通过以简化和固定的方式捕获多样化、结构良好且具有临床意义的数据, 提供全面且整理完善的数据集, 适合数据的分析。该数据集的应用很多, 包括进行流行病学分析、监测药物的副作用和研究治疗的安全性。此外, OASIS汇编的数据将用于开发新的分类和诊断系统, 以及葡萄膜炎的治疗和预后指南。
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Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author upon reasonable request.
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Funding
RA received funding from National Medical Research Council, Ministry of Health, Singapore for his project entitled “To establish a predictive artificial intelligence (AI) based model using immune-phenotype correlation for disease stratification and prognosis in patients with ocular tuberculosis (OTB)”, Grant: MOH/NMRC/CSAINV/19nov-007.
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The authors confirm their contribution to the paper as follows: study conception and design: RA, VG, JHK; data collection: all authors; analysis and interpretation of results: RA, BL, SMSN, RL, JHK; draft manuscript preparation: all authors. All authors reviewed the results and approved the final version of the manuscript.
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Ng, S.M.S., Low, R., Pak, C. et al. The role of a multicentre data repository in ocular inflammation: The Ocular Autoimmune Systemic Inflammatory Infectious Study (OASIS). Eye 37, 3084–3096 (2023). https://doi.org/10.1038/s41433-023-02472-5
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DOI: https://doi.org/10.1038/s41433-023-02472-5
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