Journal of Clinical Pediatrics ›› 2020, Vol. 38 ›› Issue (4): 260-.doi: 10.3969/j.issn.1000-3606.2020.04.005

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Risk factors of multiple bacterial infections in NICU neonates with severe pneumonia

 XIE Chaoyun1, MENG Guiluan1, XIONG Yun1, YANG Zhongling2, LONG Ruiyin3, CHEN Yingqiang4   

  1. 1. Department of Infectious Management, 2. Clincal Laborary, 3. Department of Neonates, 4. Infectious Disase Department, Third Affiliated Hospital, Guizhou Medical University, Duyun 558000, Guizhou, China
  • Online:2020-04-15 Published:2020-04-15

Abstract:  Objective To analyze the risk factors of multiple bacterial infection in neonates with severe pneumonia in neonatal intensive care unit (NICU). Methods The clinical data of 1057 newborns with severe bacterial pneumonia admitted to the NICU from January 2014 to May 2019 were retrospectively analyzed, and the risk factors for multiple bacterial infections were analyzed. Results Univariate analysis showed that 12 factors including gestational age (<37 weeks), birth weight (<2500 g), onset age (<7 days), infection type (nosocomial infection), hospital stays (≥14 days), mechanical ventilation, Apagar score (<7 points), premature rupture of membranes, days of antibiotics use (≥10 days), changes of antibiotics (≥3) and combined use of antibiotics (≥3) were risk factors for the multiple bacterial infections in neonates with severe pneumonia in NICU, and differences were statistically significant (P<0.05). Multivariate analysis showed that changes of antibiotics (≥3), Apagar score (< 7 points), type of infection (nosocomial infection), mechanical ventilation and amniotic fluid contamination (degree II and III) were independent risk factors for the multiple bacterial infections in neonates with severe pneumonia in NICU (P<0.05). Conclusions Comprehensive prevention and control measures should be taken in the clinic for the main risk factors to reduce multiple bacterial infections of neonates with severe pneumonia in NICU.

Key words:  neonatal intensive care unit; severe pneumonia; risk factors; logistic regression analysis