Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Infect Control Hosp Epidemiol. 2022 Jun;43(6):714-718. doi: 10.1017/ice.2021.215. Epub 2021 Jun 4.
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).
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.
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.
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.
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)。
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。
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。
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。