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Chinese Journal of Experimental and Clinical Infectious Diseases(Electronic Edition) ›› 2016, Vol. 10 ›› Issue (06): 685-689. doi: 10.3877/cma.j.issn.1674-1358.2016.06.008

• Clinical Research Article • Previous Articles     Next Articles

Development and application of real-time monitoring and feedback platform for the detection of pathogenic bacteria in newborns

Juntian Wu1,(), Huixian Qiu1, Liping Zheng1, Minfen Zheng1, Shuming Zhou1   

  1. 1. Department of Pediatirics, Shenzhen Longgang Central Hospital, Guangdong 518116, China
  • Received:2015-12-27 Online:2016-12-15 Published:2021-09-08
  • Contact: Juntian Wu

Abstract:

Objective

To develop and establish a real-time monitoring and feedback platform for the detection of pathogenic bacteria in newborns, and to analyze its clinical application value.

Methods

A real-time monitoring and feedback platform for detection of pathogenic bacteria in newborn was developed and established in newborn department in our hospital at January 2014. The incidence rate of nosocomial infection, the total disappearance time of infection symptoms and changes on drug resistance to main pathogenic bacteria to 15 kinds of antimicrobials were detected to evaluate the clinical value of this platform.

Results

After the application of the platform, the incidence rate of nosocomial infection decreased from 5.93% (258/4 352) to 2.40% (112/4 658), with significant difference (χ2= 74.121, P = 0.000). All patients were cured by anti-infection treatment. The disappearance time of infection symptoms in the control group was (7.09±1.24) days, which was significantly longer than that in the observation group [(4.36±0.79) days] (t = 3.691, P = 0.017). After the application of the platform, the drug resistance rates of Escherichia coli and Streptococcus pneumoniae to vancomycin, imipenem, levofloxacin, gentamicin, ceftazidime, cefoxitin, penicillin and amoxicillin were significantly decreased (all P < 0.05), and the drug resistance rate of Staphylococcus aureus to amoxycillin and penicillin were significantly decreased, with significant differences (all P < 0.05).

Conclusions

The real-time monitoring and feedback platform for the detection of pathogenic bacteria in newborns could promote the sharing of medical information, provide data support for the prevention and control of nosocomial infection in newborns and rational use of antibiotics.

Key words: Newborn, Nosocomial infection, Pathogenic bacteria, Real-time monitoring feedback, Information management

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