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根据药物耐受性断言识别假阳性药物过敏警报:一个回顾性研究
Jakir Hossain Bhuiyan Masud1, James J Cimino1, Tiago K Colicchio1
1Department of Biomedical Informatics and Data Science, University of Alabama at Birmingham, Birmingham, AL 35294, United States.
JAMIA open
|January 30, 2026
概括
大多数药物过敏警报 (DAA) 由于错误的阳性结果而被覆盖,通常发生在以前接触过药物的患者中. 未来的研究应该探索减少这些临床上无关紧要的警报的策略,而不影响患者的安全.
科学领域:
- 药物监测和临床信息学
- 药物安全和过敏管理
背景情况:
- 药物过敏警报 (DAA) 是预防药物不良事件的关键工具.
- 然而,高覆盖率表明有大量临床上无关紧要的警报.
- 了解这些警报的特点对于提高其准确性和实用性至关重要.
研究的目的:
- 在一个大型学术医疗中心评估药物过敏警报 (DAA) 的特征.
- 识别导致假阳性DAA的因素.
- 为减少与临床无关的警报提供见解.
主要方法:
- 对2023年具有处方权的医疗保健提供者触发的DAA的回顾性分析.
- 包括来自东南部一个大型学术医疗中心的数据.
- 分析的重点是识别与假阳性警报相关的数据元素.
主要成果:
- 在2023年,超过101,000个DAA被触发,覆盖率为98.9%.
- 只有9.7%的DAA在处方药和记录过敏原之间有明确的匹配.
- 70%的DAA发生在先前服用警报药物的患者中,超过一半的患者继续使用相同的药物过敏后文档.
结论:
- 大多数DAA在患者中被触发,这些患者先前接触过该药物,通常是在过敏记录后.
- 很大一部分警报在临床上是无关紧要的,导致了高的覆盖率.
- 未来的研究应该调查将容忍断言纳入DAA逻辑,以尽量减少假阳性,同时保持安全.
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