Benipal Harsukh, Holbrook Anne, Paterson J Michael, Douketis James, Foster Gary, Thabane Lehana
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
BMJ Open. 2020 Sep 22;10(9):e036537. doi: 10.1136/bmjopen-2019-036537.
Oral anticoagulants (OACs) are widely prescribed in older adults. High OAC-related adverse event rates in the early period following hospital discharge argue for an analysis to identify predictors. Our objective is to identify and validate clinical and continuity of care variables among seniors discharged from hospital on an OAC, which are independently associated with OAC-related adverse events within 30 days.
We propose a population-based retrospective cohort study of all adults aged 66 years or older who were discharged from hospital on an OAC from September 2010 to March 2015 in Ontario, Canada. The primary outcome is a composite of the first hospitalisation or emergency department visit for a haemorrhage or thromboembolic event or mortality within 30 days of hospital discharge. A Cox proportional hazards model will be used to determine the association between the composite outcome and a set of prespecified covariates. A split sample method will be adopted to validate the variables associated with OAC-related adverse events.
The use of data in this project was authorised under section 45 of Ontario's Personal Health Information Protection Act, which does not require review by a research ethics board. Results will be disseminated via peer-reviewed publications and presentations at conferences and will determine intervention targets to improve OAC management in upcoming randomised trials.
ClinicalTrials.gov Identifier: NCT02777047; Pre-results.
口服抗凝剂(OACs)在老年人中广泛应用。出院后早期OAC相关不良事件发生率较高,因此有必要进行分析以确定预测因素。我们的目标是识别并验证出院时服用OAC的老年人中的临床及护理连续性变量,这些变量与30天内OAC相关不良事件独立相关。
我们提议对2010年9月至2015年3月在加拿大安大略省出院时服用OAC的所有66岁及以上成年人进行基于人群的回顾性队列研究。主要结局是出院后30天内因出血或血栓栓塞事件首次住院或急诊就诊或死亡的综合情况。将使用Cox比例风险模型来确定综合结局与一组预先指定的协变量之间的关联。将采用拆分样本方法来验证与OAC相关不良事件相关的变量。
本项目中数据的使用已根据安大略省《个人健康信息保护法》第45条获得授权,该条不要求研究伦理委员会进行审查。结果将通过同行评审出版物以及在会议上的报告进行传播,并将确定干预目标,以在即将进行的随机试验中改善OAC管理。
ClinicalTrials.gov标识符:NCT02777047;预结果。