BACTERIUM: Study for a Machine-learning-based Model to Predict Bloodstream Infections
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 5,000
- 试验地点
- 1
- 主要终点
- Rate of appropriate antibiotic therapy in patients with bloodstream infections
研究概览
简要总结
An increase of healthcare-associated infections caused by multidrug- resistant organisms (MRDO) is currently observed. One of the main causes of the emergence of a MDRO infection is an overuse of antibiotics. Therefore, saving useless antibiotic treatment is currently a priority from a public health point of view. The evaluation of the risk of having a bloodstream infection will allow both activating faster treatment decisions (when the risk is significantly high) or to save useless resources in terms of diagnostic tests and treatments, also limiting the potential for side effects (when the risk is significantly low).
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
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
- •adult patients hospitalized at the Gemelli Polyclinic Foundation
- •having at least one performed blood culture
- •starting an antibiotic therapy
排除标准
- •blood cultures with contaminants
- •<18 years old
- •died after less than 48 hours from blood cultures positivity
结局指标
主要结局
Rate of appropriate antibiotic therapy in patients with bloodstream infections
时间窗: 24 months
1) number of patients with bloodstream infections with appropriate antibiotic therapy before and after the application of the predictive model "Bacterium"
Blood cultures
时间窗: 24 months
number of blood cultures done before and after the application of the predictive model "Bacterium"
次要结局
未报告次要终点