Molecular and epidemiologic investigation of a rhinovirus outbreak in a neonatal intensive care unit

2018 ◽  
Vol 40 (2) ◽  
pp. 245-247
Author(s):  
Kenza Rahmouni El Idrissi ◽  
Sandra Isabel ◽  
Julie Carbonneau ◽  
Martine Lafond ◽  
Caroline Quach ◽  
...  

We performed a molecular and epidemiologic study of a healthcare-associated rhinovirus outbreak to better understand transmission in neonatal intensive care settings. Sequencing of the 7 outbreak strains revealed 4 distinct clades, indicating multiple sources. A single clade infected 3 patients in adjacent rooms, suggesting horizontal transmission. We observed 1 rhinovirus-associated death.

2016 ◽  
Vol 10 (11) ◽  
pp. 1250-1257 ◽  
Author(s):  
Elham AM El-Feky ◽  
Doa’a A Saleh ◽  
Jehan El-Kholy ◽  
Ahmed Mahmoud Sayed ◽  
Yasmeen Mansi ◽  
...  

Introduction: Personal digital assistants (PDAs) used in electronic laboratory-based surveillance are a promising alternative to conventional surveillance to detect healthcare-associated infections (HAIs). The aim of the study was to monitor, detect, and analyze HAIs using PDAs in a neonatal intensive care unit (NICU). Methodology: In this descriptive study, 1,053 neonates admitted to the NICU in the obstetrics and gynecology ward at the Cairo University hospital were included and evaluated for HAIs by collecting data using PDAs programmed by Naval Medical Research Unit 3, Cairo, with the definitions for HAIs provided by the National Healthcare Safety Network of the Centers for Disease Control and Prevention. Case records were reviewed three times a week over 19 months, from March 2012 to September 2013. Results: Of 124 suspected episodes of infection recorded in PDAs, 89 confirmed episodes of infection were identified. HAI and NICU infection rates were 7.4 and 2.72/1,000 patient-days, respectively. Primary bloodstream infection was detected in 81 episodes and pneumonia in 8 episodes. The majority of infections (62%) were acquired in the ward before NICU admission. Klebsiella spp. was isolated most frequently (42%), followed by coagulase-negative Staphylococci (31%). Conclusions: This study is the first to report the use of PDAs in surveillance to detect HAIs in the NICU in our hospital. The majority of infections were acquired at the obstetric care department, indicating the importance of implementing rigorous prevention and control programs and a more detailed surveillance to identify other risk factors for infections.


Author(s):  
Caroline Quach

Infants, especially preterm, in neonatal intensive care units (NICU) are especially susceptible to healthcare-associated infections (HAI), given their immature immune system, the acuity of care that they need, and the frequency of invasive procedures performed. Moreover, HAIs have major impacts on premature infant outcomes. HAIs in the NICU have been associated with a twofold increase in the risk of death. This chapter reviews several strategies to prevent healthcare-associated infections, including central line–associated bloodstream infection, ventilator-associated pneumonia, and catheter-associated urinary tract infection, in the neonatal intensive care unit setting. The importance of the neonatal microbiome in the prevention of infections is emphasized.


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