开发一种风险预测模型,用于移植后感染的细菌受污染的保存溶液中传播的感染风险
Mingxing Guo1, Chen Pan1, Ying Zhao1
1Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Infection and drug resistance
|March 20, 2024
概括
一个新的预测模型有助于评估移植接受者感染的风险,使用受污染的保存溶液. 该工具有助于优化抗生素策略,特别是当感染概率在20%至80%之间时.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 移植手术 移植手术
- 传染性疾病 传染性疾病
背景情况:
- 接受受微生物污染的保存溶液器官的移植受体感染的风险尚不清楚.
- 准确的风险评估对于管理移植后并发症至关重要.
研究的目的:
- 开发和验证一种预测模型,用于识别移植接受者暴露在受污染的防腐溶液中的感染风险.
- 为预测感染概率和指导抗生素策略建立名录.
主要方法:
- 使用后勤回归和Akaike信息标准 (AIC) 来进行变量选择的预测模型的开发.
- 鉴定风险因素,包括年龄,手术前肌素,ESKAPE病原体,普卡尔西托尼 (PCT),血过和西罗.
- 使用AUC和Brier指数验证名录,并通过决策曲线分析评估临床效用.
主要成果:
- 建立的诺米图表显示出良好的预测性能,AUC为0.72 (95% CI,0.64-0.80) 和布里尔指数为0.20 (95% CI,0.18-0.23).
- 以模型为导向的抗生素策略显示,与默认策略相比,当感染概率在20%至80%之间时,其净效益优于默认策略.
结论:
- 一个经过验证的风险预测模型有效地评估了移植接受者感染的风险.
- 该模型通过指导抗生素使用提供了实际的临床益处,特别是在特定的概率范围内 (20% - 80%).
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