Ajjan Ramzi A, Battelino Tadej, Seufert J, Blin Patrick, de Pouvourville Gérard, Vicaut Eric, Carcaillon-Bentata Laure, Levrat-Guillen Fleur, Cosson Emmanuel, Joubert Michael
The LIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Center Ljubljana and Faculty of Medicine, University of Lubljana, Ljubljana, Slovenia.
BMJ Open. 2025 Jan 8;15(1):e085961. doi: 10.1136/bmjopen-2024-085961.
Glycated haemoglobin (HbA1c) is currently the gold standard for assessing glycaemic control in diabetes, given the established relationship with microvascular and macrovascular complications in this condition. However, HbA1c is affected by non-glycaemic factors, while also failing to provide data on hypoglycaemic exposure and glucose variability, which are associated with adverse vascular outcomes. Continuous glucose monitoring (CGM)-derived glucose metrics provide a more comprehensive assessment of glycaemia, but their role in predicting future vascular complications remains unclear. Here, we present the protocol for a real-world cohort study, aiming to establish the relationship between CGM-derived glycaemic metrics and the incidence of macrovascular and/or microvascular complications in people with diabetes.
This cohort study will use data from all CGM new users (FreeStyle Libre system) in France who uploaded their glycaemic values onto the LibreView cloud-based system, linked with data from the French nationwide claims database. The study is expected to include a minimum of 70 000 individuals with diabetes with a first date of glucose data upload to the LibreView platform after 1 January 2018 and with a 6-year follow-up period. The primary outcomes are the first occurrence of new macrovascular or microvascular complications, analysed as a composite outcome and separately. Secondary outcomes will include all-cause mortality and hospital admissions for any cause. This longitudinal study will provide key data on the relationship between CGM-derived glycaemic metrics and micro/macrovascular complications in diabetes. This will have an impact on routine clinical practice by setting targets for the different glycaemic markers, based on robust outcome data, thus helping to optimise glucose management in diabetes.
The study data-collection protocol is approved by the French National Commission for Informatics and Liberties, including approval from the . This study complies with French and European regulations, including those relating to the General Data Protection Regulation. This study uses pseudonymous information, not requiring informed consent. Dissemination plans include full publication of the study outcomes in peer-reviewed journal(s) with open access and presentations at national and international diabetes and cardiovascular conferences.
糖化血红蛋白(HbA1c)目前是评估糖尿病患者血糖控制的金标准,因为它与糖尿病患者的微血管和大血管并发症之间存在既定关系。然而,HbA1c会受到非血糖因素的影响,同时也无法提供有关低血糖暴露和血糖变异性的数据,而这些因素与不良血管结局相关。连续血糖监测(CGM)得出的血糖指标能更全面地评估血糖情况,但其在预测未来血管并发症方面的作用仍不明确。在此,我们介绍一项真实世界队列研究的方案,旨在确定CGM得出的血糖指标与糖尿病患者大血管和/或微血管并发症发生率之间的关系。
这项队列研究将使用法国所有将血糖值上传到基于云的LibreView系统的CGM新用户(FreeStyle Libre系统)的数据,并与法国全国索赔数据库的数据相链接。该研究预计将纳入至少70000名糖尿病患者,他们在2018年1月1日之后首次将血糖数据上传至LibreView平台,并进行为期6年的随访。主要结局是首次出现新的大血管或微血管并发症,将其作为一个综合结局进行分析,并分别进行分析。次要结局将包括全因死亡率和因任何原因住院。这项纵向研究将提供关于CGM得出的血糖指标与糖尿病患者微血管/大血管并发症之间关系的关键数据。这将通过基于可靠的结局数据为不同的血糖标志物设定目标,从而对常规临床实践产生影响,有助于优化糖尿病患者的血糖管理。
该研究的数据收集方案已获得法国国家信息与自由委员会的批准,包括来自……的批准。本研究符合法国和欧洲法规,包括与《通用数据保护条例》相关的法规。本研究使用匿名信息,无需知情同意。传播计划包括在开放获取的同行评审期刊上全面发表研究结果,并在国内和国际糖尿病及心血管会议上进行展示。