为养老院优化设施特定的尿路加权发病率综合征抗生素图
Lindsay Noelle Taylor1,2,3, Ronald Gangnon1, Michael Howe4
1https://ror.org/03ydkyb10University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Infection control and hospital epidemiology
|January 13, 2026
概括
在养老院开发特定设施的尿路抗生素是具有挑战性的,因为孤立的数量很低. 权重发病综合征抗生素图 (WISCA) 模型使用两年所有格拉姆阴性分离物的数据,最大限度地为养老院生成抗生素图.
科学领域:
- 医学微生物学 医学微生物学
- 传染性疾病 传染性疾病
- 医疗卫生流行病学 医疗卫生流行病学
背景情况:
- 养老院 (NHs) 由于细菌分离物的数量很少,因此在生成设施特定的尿路抗生素图方面面临挑战.
- 标准临床和实验室标准协会 (CLSI) 的标准方法通常对NH设置不够.
研究的目的:
- 开发和评估一种方法,在NH中创建设施特定的尿路抗生素图,解决有限的隔离物回收问题.
- 为了比较标准的CLSI抗生素图像模型与各种加权发病率综合征抗生素图像 (WISCA) 模型的性能.
主要方法:
- 对来自五个州的59个国家公路的5097个尿液培养分离物的回顾性分析 (2020-2021年).
- 与四个具有不同格式规则的WISCA模型相比,CLSI标准抗生素图像模型的比较.
- 评估生产设施特异性抗菌谱 (≥30个分离物) 的能力,以及对易感性预测的影响.
主要成果:
- 只有一个NH可以使用一年的数据来生成常见的グラム阴性分离物的CLSI抗生素图.
- 在使用两年的数据和所有格拉姆阴性分离物时,WISCA模型显著增加了抗生素生成率 (36%至85%).
- 在使用所有格拉姆阴性分离物与前三种病原体时,观察到预测的抗生素活性 (例如,安培-苏尔巴克坦,塞法林) 的变化.
结论:
- 权衡发病率综合征抗生素图 (WISCA) 模型对于具有较低隔离子数量的NH,优于CLSI标准.
- 利用两年的尿培养数据,包括所有格兰负分离物,最大限度地提高了能够产生有效设施特异性抗生素的NH数量.
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