Network path analysis on risk factors for multidrug-resistant organism infection in intensive care unit
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R181.3+2

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    Abstract:

    Objective To analyze risk factors and internal network path among risk factors for multidrug-resistant organism (MDRO) infection in intensive care unit (ICU), clarify interaction among risk factors, and construct risk model of MDRO infection in ICU. Methods Patients with infection in the general ICU in a tertiary first-class hospital from January to March 2019 were analyzed retrospectively,they were divided into MDRO infection group (patients with MDRO infection judged by clinicians and HAI surveillance and control doctors) and non-MDRO infection group (patients without MDRO infection but with other infection), univariate analysis was used to screen the diffe-rent risk factors between two groups, social network analysis was used to analyze the network path of different risk factors. Results A total of 219 infected patients were included, 80 of whom were with MDRO infection, accounting for 36.5% of all infected patients. The network of risk factors in MDRO infection group was denser than that of non-MDRO infection group, and the interaction between risk factors was stronger. Among them, age, days of fever, times of abnormal procalcitonin and days of postoperative antimicrobial use were the core risk points of MDRO infection, which were in the center of network diagram (P<0.05). Conclusion Rational use of antimicrobial agents after operation, take the elderly, fever patients and patients with abnormal procalcitonin index as the high-risk popu-lation of MDRO infection and pay attention to them can bring prevention forward.

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杨晋如, 刘丹, 谈宜斌,等.重症医学科多重耐药菌感染风险因素的网状路径分析[J].中国感染控制杂志英文版,2020,19(2):148-154. DOI:10.12138/j. issn.1671-9638.20205455.
YANG Jin-ru, LIU Dan, TAN Yi-bin, et al. Network path analysis on risk factors for multidrug-resistant organism infection in intensive care unit[J]. Chin J Infect Control, 2020,19(2):148-154. DOI:10.12138/j. issn.1671-9638.20205455.

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History
  • Received:June 03,2019
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  • Adopted:
  • Online: February 28,2020
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