在实施药物安全算法后,对三重打击处方的评估
Hendrike Dahmke1,2, Jana Schelshorn3,4, Rico Fiumefreddo5
1Hospital Pharmacy, Kantonsspital Aarau AG, Aarau, Switzerland. hendrike.dahmke@ksa.ch.
Drugs - real world outcomes
|January 6, 2024
概括
一个电子算法有效地识别了因三重打击 (TW) 药物组合而面临急性损伤 (AKI) 高风险的患者. 这种工具显示出高灵敏度和特异性,有助于预防高危患者的AKI.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 临床药理学 临床药理学
- 医疗信息学 医疗信息学
背景情况:
- 三重打击 (TW) 涉及同时使用NSAIDs,利尿剂和血管激素系统抑制剂,显著提高急性损伤 (AKI) 风险.
- 患有高级年龄和功能受损等危险因素的患者特别容易受到TW相关的AKI的影响.
研究的目的:
- 开发和评估一种电子算法,用于检测高风险患者的TW处方.
- 评估算法在识别患有AKI风险的患者方面的表现.
主要方法:
- 一项回顾性观察性研究分析了2021年住院成人患者的临床数据.
- 计算了算法用于检测TW处方和随后的AKI的灵敏度和特异性.
- 评估了医生和临床药剂师对算法的警报的接受率.
主要成果:
- 该算法检测了290名TW处方患者中的216名患者,其中包括12名AKI患者中的11名 (88.3%的灵敏度).
- 该算法在识别有风险的患者方面表现出高特异性 (99.7%).
- 医生接受率很高 (77.7%),尽管临床药剂师表现出一些不情愿.
结论:
- 开发的TW算法具有高度敏感性和特异性,用于识别患有AKI风险的患者.
- 这种电子工具有可能在接受TW治疗的患者中预防AKI.
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