Medical Complications in Familial and Multifactorial Chylomicronaemia Syndromes From a 10 Year Follow-up Linking Datasets Between Patient Medical Records and Patient Claims: the ESTHYM Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 140
- 试验地点
- 1
- 主要终点
- Incidence of Acute Pancreatitis, Ischemic Cardiovascular Disease and any additional co-morbidity
研究概览
简要总结
A retrospective, systematic study of reimbursed healthcare costs over a 10 year period in patients suffering from Familial Chylomicronaemia Syndromes (FCS) or Multifactorial Chylomicronaemia Syndromes (MCS) in order to establish the relative healthcare burden of both syndromes by linking the Hospices Civils de Lyon (HCL) registry of FCS or MCS patients and data obtained from FCS or MCS patients followed in Paris, Nantes and Lyon to the French National Health System (NHS) healthcare claims database, the Système National d'Information Inter-Régimes de l'Assurance Maladie (SNIIR-AM).
A probabilistic approach will be used to link databases. This linkage will be based on the following variables: age, gender, date of discharge of any hospitalization, date of any imaging procedure.
This study will help to describe, in real life, the management of severe hyperglyceridaemia in France. In addition, the descriptive results will help obtain a better understanding of the patients suffering from this disease, the burden of the disease and the healthcare consumption linked to this disease. Even if this consumption of care has been relatively unexplored until this point, it is not negligible. The potential of merging genomics and claims data for cardiovascular research could help to identify ways to optimize disease
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •genetically documented FCS
- •genetically documented MCS
排除标准
- 未提供
结局指标
主要结局
Incidence of Acute Pancreatitis, Ischemic Cardiovascular Disease and any additional co-morbidity
时间窗: 2006-2016 (10 year follow-up)
outcomes obtained by anonymous linkage with the Système National des Données de Santé (SNDS) national data base of any health resource consumption (\> 40x106 subjects exhaustive compilation, linkage with Programme de médicalisation des systèmes d'information (PMSI) (diagnosis data base) and death registry)
次要结局
未报告次要终点
