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Impact of individualized active surveillance of carbapenem-resistant enterobacteriaceae on the infection rate in intensive care units: a 3-year retrospective study in a teaching hospital of People’s Republic of China

Purpose: Active surveillance of carbapenem-resistant Enterobacteriaceae (CRE) may contribute to the decline of the infection rate. Individualized active surveillance of CRE could cost less than screening all patients. However, the impact of individualized active surveillance on the CRE infection rat...

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Detalles Bibliográficos
Autores principales: Li, Shu, Guo, Fu-Zheng, Zhao, Xiu-Juan, Wang, Qi, Wang, Hui, An, You-Zhong, Zhu, Feng-Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538007/
https://www.ncbi.nlm.nih.gov/pubmed/31213858
http://dx.doi.org/10.2147/IDR.S201644
Descripción
Sumario:Purpose: Active surveillance of carbapenem-resistant Enterobacteriaceae (CRE) may contribute to the decline of the infection rate. Individualized active surveillance of CRE could cost less than screening all patients. However, the impact of individualized active surveillance on the CRE infection rate in intensive care units (ICUs) has not been well described. Patients and methods: We retrospectively studied the clinical data of all patients admitted in the ICUs of a tertiary-care hospital in China from 2015 to 2017 during two periods, before and after the implementation of individualized active surveillance. During period 1 (January 2015–April 2016), no screening protocol was used. During period 2 (May 2016–December 2017), we implemented active CRE screening for selected patients according to their clinical characteristics. The trend of CRE rate infection was analyzed by a joinpoint regression model, and multivariate analysis was performed to analyze the association of active surveillance, Acute Physiology and Chronic Health Evaluation (APACHE) II score, prior antimicrobial use, length of mechanical ventilation (MV) before infection, and other risk factors with CRE infection rate. Results: A total of 5,372 patients were included. After assessing the patients’ clinical characteristics, 72.3% (3,882/5,372) were considered to be at high risk of CRE infection. During period 1, the infection percent of CRE increased by 13.04% every month (95% CI: 5.2–21.5). During period 2, the infection rate decreased (monthly percent change, −3.57%; 95% CI −6.9 to −0.1, P<0.05). Multivariate analysis showed that individualized active surveillance (odds ratio, 0.146; 95% CI, 0.061–0.347; P<0.001) was associated with a reduction of the CRE infection rate, whereas APACHE II score, prior antimicrobial use, and length of MV before infection were independent risk factors. Conclusion: Individualized active surveillance may be associated with a reduction of the overall CRE infection rate in ICUs.