Suppr超能文献

自动识别疑似尿路感染抗菌药物管理机会的效果

Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections.

作者信息

Deri Connor R, Moehring Rebekah W, Turner Nicholas A, Spivey Justin, Advani Sonali D, Wrenn Rebekah H, Yarrington Michael E

机构信息

Department of Pharmacy, Duke University Medical Center, Durham, NC, USA.

Duke Center for Antimicrobial Stewardship and Infection Prevention, Durham, NC, USA.

出版信息

Antimicrob Steward Healthc Epidemiol. 2024 Oct 3;4(1):e158. doi: 10.1017/ash.2024.437. eCollection 2024.

Abstract

OBJECTIVE

We aimed to determine whether automated identification of antibiotic targeting suspected urinary tract infection (UTI) shortened the time to antimicrobial stewardship (AS) intervention.

DESIGN

Retrospective before-and-after study.

SETTING

Tertiary and quaternary care academic medical center.

PATIENTS

Emergency department (ED) or admitted adult patients meeting best practice alert (BPA) criteria during pre- and post-BPA periods.

METHODS

We developed a BPA to alert AS pharmacists of potential ASB triggered by the following criteria: ED or admitted status, antibiotic order with genitourinary indication, and a preceding urinalysis with ≤ 10 WBC/hpf. We evaluated the median time from antibiotic order to AS intervention and overall percent of UTI-related interventions among patients in pre-BPA (01/2020-12/2020) and post-BPA (04/15/2021-04/30/2022) periods.

RESULTS

774 antibiotic orders met inclusion criteria: 355 in the pre- and 419 in the post-BPA group. 43 (35 UTI-related) pre-BPA and 117 (94 UTI-related) post-BPA interventions were documented. The median time to intervention was 28 hours (IQR 18-65) in the pre-BPA group compared to 16 hours (IQR 2-34) in the post-BPA group ( < 0.01). Despite absent pyuria, there were six cases with gram-negative bacteremia presumably from a urinary source.

CONCLUSIONS

Automated identification of antibiotics targeting UTI without pyuria on urinalysis reduced the time to stewardship intervention and increased the rate of UTI-specific interventions. Clinical decision support aided in the efficiency of AS review and syndrome-targeted impact, but cases still required AS clinical review.

摘要

目的

我们旨在确定自动识别针对疑似尿路感染(UTI)的抗生素是否能缩短抗菌药物管理(AS)干预的时间。

设计

回顾性前后对照研究。

地点

三级和四级医疗学术医学中心。

患者

在实施最佳实践警报(BPA)之前和之后期间,符合BPA标准的急诊科(ED)或住院成年患者。

方法

我们制定了一项BPA,以提醒AS药剂师注意由以下标准引发的潜在ASB:ED或住院状态、有泌尿生殖系统指征的抗生素医嘱,以及之前尿分析白细胞≤10个/高倍视野。我们评估了在BPA实施前(2020年1月至2020年12月)和BPA实施后(2021年4月15日至2022年4月30日)期间,患者从抗生素医嘱到AS干预的中位时间以及UTI相关干预的总体百分比。

结果

774份抗生素医嘱符合纳入标准:BPA实施前组355份,BPA实施后组419份。记录了43次(35次与UTI相关)BPA实施前干预和117次(94次与UTI相关)BPA实施后干预。BPA实施前组干预的中位时间为28小时(四分位间距18 - 65),而BPA实施后组为16小时(四分位间距2 - 34)(P<0.01)。尽管无脓尿,但有6例革兰阴性菌血症病例可能源于泌尿生殖道。

结论

自动识别针对尿分析无脓尿的UTI的抗生素可缩短管理干预时间,并提高UTI特异性干预率。临床决策支持有助于提高AS审查效率和综合征针对性影响,但病例仍需AS临床审查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c08/11450662/893c2df84b71/S2732494X24004376_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验