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伯明翰大学医院INSIGHT视网膜静脉阻塞数据集的数据表。

A Datasheet for the INSIGHT University Hospitals Birmingham Retinal Vein Occlusion Data Set.

作者信息

Bilton Edward J, Guggenheim Emily J, Baranyi Balazs, Radovanovic Charlotte, Williams Rowena L, Bradlow William, Denniston Alastair K, Mollan Susan P

机构信息

INSIGHT, Health Data Research Hub for Eye Health, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.

Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, United Kingdom.

出版信息

Ophthalmol Sci. 2023 Aug 22;3(3):100388. doi: 10.1016/j.xops.2023.100388. eCollection 2023 Sep.

Abstract

PURPOSE

Retinal vein occlusion (RVO) is the second leading cause of visual loss due to retinal disease. Retinal vein occlusion increases the risk of cardiovascular mortality and the risk of stroke. This article describes the data contained within the INSIGHT eye health data set for RVO and cardiovascular disease.

DESIGN

Data set descriptor for routinely collected eye and systemic disease data.

PARTICIPANTS

All people who had suffered an RVO aged ≥ 18 years old, attending the Ophthalmology Clinic at Queen Elizabeth Hospital, University Hospitals Birmingham (UHB) National Health Service (NHS) Trust were included.

METHODS

The INSIGHT Health Data Research Hub for Eye Health is an NHS-led ophthalmic bioresource. It provides researchers with safe access to anonymized routinely collected data from contributing NHS hospitals to advance research for patient benefit. This report describes the INSIGHT UHB RVO and major adverse cardiovascular events data set, a data set of ophthalmology and systemic data derived from the United Kingdom's largest acute care trust.

MAIN OUTCOME MEASURES

This data set consists of routinely collected data from the hospital's electronic patient records. The data set primarily includes structured data (relating to their hospital eye care and any cardiovascular data held for the individual) and OCT ocular images. Further details regarding the available data points are available in the supplementary information.

RESULTS

At the time point of this analysis (September 30, 2022) the data set was composed of clinical data from 1521 patients, from Medisoft records inception. The data set includes 2196 occurrences of RVO affecting 2026 eyes, longitudinal eye follow-up clinical parameters, over 6217 eye-related procedures, and 982 encountered complications. The data set contains information on 2534 major adverse cardiovascular event occurrences, their subtype, number experienced per patient, and chronological relation to RVO event. Longitudinal follow-up data including laboratory results, regular medications, and all-cause mortality are also available within the data set.

CONCLUSIONS

This data set descriptor article summarizes the data set contents, the process of its curation, and potential uses. The data set is available through the structured application process that ensures research studies are for patient benefit. Further information regarding the data repository and contact details can be found at https://www.insight.hdrhub.org/.

FINANCIAL DISCLOSURES

Proprietary or commercial disclosure may be found after the references.

摘要

目的

视网膜静脉阻塞(RVO)是导致视力丧失的第二大常见视网膜疾病原因。视网膜静脉阻塞会增加心血管疾病死亡率和中风风险。本文介绍了INSIGHT眼健康数据集中有关RVO和心血管疾病的数据。

设计

对常规收集的眼部和全身疾病数据的数据集描述。

参与者

纳入了所有年龄≥18岁、在伯明翰大学医院伊丽莎白女王医院眼科诊所就诊的视网膜静脉阻塞患者,该医院属于英国国家医疗服务体系(NHS)信托机构。

方法

INSIGHT眼健康数据研究中心是一个由NHS主导的眼科生物资源库。它为研究人员提供安全访问权限,以获取来自参与的NHS医院常规收集的匿名数据,从而推进研究以造福患者。本报告描述了INSIGHT UHB视网膜静脉阻塞和主要不良心血管事件数据集,这是一个源自英国最大急性护理信托机构的眼科和全身数据的数据集。

主要观察指标

该数据集由医院电子病历中常规收集的数据组成。数据集主要包括结构化数据(与他们的医院眼科护理以及个人持有的任何心血管数据相关)和OCT眼部图像。有关可用数据点的更多详细信息可在补充信息中找到。

结果

在本次分析时间点(2022年9月30日),该数据集由自Medisoft记录开始以来1521例患者的临床数据组成。该数据集包括2196次视网膜静脉阻塞事件,累及2026只眼睛,纵向眼部随访临床参数,超过6217次与眼睛相关的手术,以及982例出现的并发症。该数据集包含2534次主要不良心血管事件的信息,包括其亚型、每位患者经历的次数以及与视网膜静脉阻塞事件的时间关系。数据集中还提供了包括实验室检查结果、常规用药和全因死亡率在内的纵向随访数据。

结论

本文对该数据集的描述总结了数据集的内容、整理过程和潜在用途相关信息。该数据集可通过结构化申请流程获取,确保研究是为了造福患者。有关数据存储库和联系方式的更多信息可在https://www.insight.hdrhub.org/上找到。

财务披露

专有或商业披露信息可在参考文献之后找到。

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