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实验室鉴定的万古霉素耐药肠球菌菌血症发病率:标准化感染比预测模型。

Laboratory-identified vancomycin-resistant enterococci bacteremia incidence: A standardized infection ratio prediction model.

机构信息

Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.

出版信息

Infect Control Hosp Epidemiol. 2022 Jun;43(6):714-718. doi: 10.1017/ice.2021.215. Epub 2021 Jun 4.

DOI:10.1017/ice.2021.215
PMID:34085620
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8642455/
Abstract

BACKGROUND

We analyzed 2017 healthcare facility-onset (HO) vancomycin-resistant (VRE) bacteremia data to identify hospital-level factors that were significant predictors of HO-VRE using the Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN) multidrug-resistant organism and reporting module. A risk-adjusted model that can be used to calculate the number of predicted HO-VRE bacteremia events in a facility was developed, thus enabling the calculation of VRE standardized infection ratios (SIRs).

METHODS

Acute-care hospitals reporting at least 1 month of 2017 VRE bacteremia data were included in the analysis. Various hospital-level characteristics were assessed to develop a best-fit model and subsequently derive the 2018 national and state SIRs.

RESULTS

In 2017, 470 facilities in 35 states participated in VRE bacteremia surveillance. Inpatient VRE community-onset prevalence rate, average length of patient stay, outpatient VRE community-onset prevalence rate, and presence of an oncology unit were all significantly associated (all 95% likelihood ratio confidence limits excluded the nominal value of zero) with HO-VRE bacteremia. The 2018 national SIR was 1.01 (95% CI, 0.93-1.09) with 577 HO bacteremia events reported.

CONCLUSION

The creation of an SIR enables national-, state-, and facility-level monitoring of VRE bacteremia while controlling for individual hospital-level factors. Hospitals can compare their VRE burden to a national benchmark to help them determine the effectiveness of infection prevention efforts over time.

摘要

背景

我们分析了 2017 年医疗机构获得性(HO)万古霉素耐药(VRE)菌血症数据,以确定使用疾病控制与预防中心(CDC)国家医疗保健安全网络(NHSN)多药耐药菌和报告模块的医院级别因素,这些因素是 HO-VRE 的重要预测因素。开发了一个风险调整模型,可用于计算医疗机构中预测的 HO-VRE 菌血症事件的数量,从而能够计算 VRE 标准化感染比(SIR)。

方法

报告至少有 1 个月 2017 年 VRE 菌血症数据的急症护理医院包括在分析中。评估各种医院级别特征以建立最佳拟合模型,并随后得出 2018 年全国和州 SIR。

结果

2017 年,35 个州的 470 家医疗机构参与了 VRE 菌血症监测。住院患者 VRE 社区发病流行率、平均住院时间、门诊患者 VRE 社区发病流行率和肿瘤科室的存在均与 HO-VRE 菌血症显著相关(所有 95%似然比置信区间均排除零的名义值)。2018 年全国 SIR 为 1.01(95%CI,0.93-1.09),报告了 577 例 HO 菌血症事件。

结论

SIR 的创建可实现全国、州和医疗机构级别的 VRE 菌血症监测,同时控制医院级别的个别因素。医院可以将其 VRE 负担与国家基准进行比较,以帮助他们确定随着时间的推移感染预防工作的有效性。

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