Clinician JUdgment Versus Risk Score to Predict Stroke outComes:
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 111
- 试验地点
- 8
- 主要终点
- 30 Day Mortality or Disability (mRS >3) at discharge
研究概览
简要总结
Background: Several risk score models are now available to assist clinicians estimate outcomes after an acute ischemic stroke. Limited information is available on the predictive value of these scores compared to real outcomes and clinical judgment.
Objectives: To compare clinician judgment with the use of a validated stroke risk score (iScore) and patients' outcomes.
详细描述
A convenience sample of 111 practicing clinicians (general and vascular neurologists, internists, and ER physicians) predicted the outcomes of 5 stroke patients based on case summaries. Cases were randomly selected as being representative of the 10 most common clinical scenarios (n=1,415) from a pool of over 12,000 patients admitted to stroke centers in Ontario, Canada. Stroke cases had known clinical presentation, comorbidities, stroke severity, and outcomes.
All participants are active practicing physicians caring for patients with acute stroke. Conditions were standardized to mimic clinical practice.
Main outcomes of interest included 30-day mortality and death or disability at discharge.
Secondary outcome: death or institutionalization at discharge
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- Double (Investigator, Outcomes Assessor)
入排标准
- 年龄范围
- 20 Years 至 75 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Practicing and active physicians managing patients with stroke
排除标准
- •retired physicians
- •physicians not exposed to care for stroke patients
结局指标
主要结局
30 Day Mortality or Disability (mRS >3) at discharge
时间窗: Death after 30 days from ischemic stroke onset or Disability following hospital discharge
次要结局
- Death at 30 days(30 days)
- Death or institutionalization at discharge(up to 30 days after discharge)
研究者
Gustavo Saposnik
Staff Physician and Clinician Scientist, Associate Professor of medicine, University of Toronto
Unity Health Toronto