在两家外科重症监护病房实施诊断管理干预措施,提高血液培养利用率:是时候改变血液培养方式了

Jessica L. Seidelman, Rebekah Moehring, Erin Gettler, Jay Krishnan, Lynn McGugan, Rachel Jordan, Margaret Murphy, Heather Pena, Christopher R. Polage, Diana Alame, Sarah Lewis, Becky Smith, Deverick Anderson, Nitin Mehdiratta
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引用次数: 0

摘要

目的:我们比较了采用血液培养算法和提供者反馈前后血液培养事件的数量。设计:前瞻性队列设计。设置:两个外科重症监护病房(ICU):普外科和创伤外科以及心胸外科。方法:我们使用间断时间序列比较了算法实施前后的血培养事件发生率(即每 1000 个患者日的血培养事件发生率)以及每周的提供者反馈。结果:普外科和创伤 ICU 的血培养事件发生率从每 1000 个患者日 100 例降至 55 例(降幅 72%;发生率比 [IRR],0.38;95% 置信区间 [CI],0.32-0.46;P < .01),心胸外科 ICU 的血培养事件发生率从每 1000 个患者日 102 例降至 77 例(降幅 55%;发生率比 [IRR],0.45;95% 置信区间 [CI],0.39-0.52;P < .01)。结论:我们在两家外科重症监护室实施了带数据反馈的血液培养算法,观察到血液培养事件的发生率显著下降,而负面安全信号(包括重症监护室的住院时间、死亡率、抗生素使用或再入院率)却没有增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a diagnostic stewardship intervention to improve blood-culture utilization in 2 surgical ICUs: Time for a blood-culture change
Objective:

We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention.

Design:

Prospective cohort design.

Setting:

Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery

Patients:

Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event.

Methods:

We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback.

Results:

The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32–0.46; P < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39–0.52; P < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods.

Conclusions:

We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.

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