Solebo Ameenat Lola, Kellett Salomey, Rahi Jugnoo, Pattani Reshma, Edelsten Clive, Dick Andrew D, Denniston Alastair
Population, Policy and Practice Programme, UCL GOS Institute of Child Health, London, United Kingdom.
National Institute for Health Research Biomedical Research Center at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, United Kingdom.
Front Pediatr. 2022 Jun 21;10:881398. doi: 10.3389/fped.2022.881398. eCollection 2022.
Childhood onset uveitis comprises a group of rare inflammatory disorders characterized by clinical heterogeneity, chronicity, and uncertainties around long term outcomes. Standardized, detailed datasets with harmonized clinical definitions and terminology are needed to enable the clinical research necessary to stratify disease phenotype and interrogate the putative determinants of health outcomes. We aimed to develop a core routine clinical collection dataset for clinicians managing children with uveitis, suitable for multicenter and national clinical and experimental research initiatives.
Development of the dataset was undertaken in three phases: phase 1, a rapid review of published datasets used in clinical research studies; phase 2, a scoping review of disease or drug registries, national cohort studies and core outcome sets; and phase 3, a survey of members of a multicenter clinical network of specialists. Phases 1 and 2 provided candidates for a long list of variables for the dataset. In Phase 3, members of the UK's national network of stakeholder clinicians who manage childhood uveitis (the Pediatric Ocular Inflammation Group) were invited to select from this long-list their essential items for the core clinical dataset, to identify any omissions, and to support or revise the clinical definitions. Variables which met a threshold of at least 95% agreement were selected for inclusion in the core clinical dataset.
The reviews identified 42 relevant studies, and 9 disease or drug registries. In total, 138 discrete items were identified as candidates for the long-list. Of the 41 specialists invited to take part in the survey, 31 responded (response rate 78%). The survey resulted in inclusion of 89 data items within the final core dataset: 81 items to be collected at the first visit, and 64 items at follow up visits.
We report development of a novel consensus core clinical dataset for the routine collection of clinical data for children diagnosed with non-infectious uveitis. The development of the dataset will provide a standardized approach to data capture able to support observational clinical studies embedded within routine clinical care and electronic patient record capture. It will be validated through a national prospective cohort study, the Uveitis in childhood prospective national cohort study (UNICORNS).
儿童期葡萄膜炎是一组罕见的炎症性疾病,其特点是临床异质性、慢性病程以及长期预后存在不确定性。需要标准化、详细的数据集以及统一的临床定义和术语,以开展必要的临床研究,对疾病表型进行分层并探究健康结局的假定决定因素。我们旨在为管理葡萄膜炎患儿的临床医生开发一个核心常规临床收集数据集,适用于多中心和全国性的临床及实验研究项目。
数据集的开发分三个阶段进行:第1阶段,快速回顾临床研究中使用的已发表数据集;第2阶段,对疾病或药物登记处、全国队列研究和核心结局集进行范围审查;第3阶段,对一个多中心临床专家网络的成员进行调查。第1阶段和第2阶段为数据集中一长串变量提供了候选内容。在第3阶段,邀请英国管理儿童葡萄膜炎的利益相关者临床医生全国网络(儿科眼部炎症小组)的成员从这一长串变量中选择核心临床数据集的基本项目,识别任何遗漏内容,并支持或修订临床定义。达到至少95%一致阈值的变量被选入核心临床数据集。
审查确定了42项相关研究和9个疾病或药物登记处。总共确定了138个离散项目作为长串变量的候选内容。在受邀参加调查的41名专家中,31人做出了回应(回应率78%)。调查结果是最终核心数据集中纳入了89个数据项目:首次就诊时收集81项,随访时收集64项。
我们报告了一个新的共识核心临床数据集的开发情况,用于常规收集诊断为非感染性葡萄膜炎儿童的临床数据。该数据集的开发将提供一种标准化的数据采集方法,能够支持嵌入常规临床护理和电子病历采集的观察性临床研究。它将通过一项全国前瞻性队列研究——儿童葡萄膜炎前瞻性全国队列研究(UNICORNS)进行验证。