PT - JOURNAL ARTICLE AU - Stefania Vergnano AU - Esse Menson AU - Nigel Kennea AU - Nick Embleton AU - Alison Bedford Russell AU - Timothy Watts AU - Michael J Robinson AU - Andrew Collinson AU - Paul T Heath TI - Neonatal infections in England: the NeonIN surveillance network AID - 10.1136/adc.2009.178798 DP - 2011 Jan 01 TA - Archives of Disease in Childhood - Fetal and Neonatal Edition PG - F9--F14 VI - 96 IP - 1 4099 - http://fn.bmj.com/content/96/1/F9.short 4100 - http://fn.bmj.com/content/96/1/F9.full SO - Arch Dis Child Fetal Neonatal Ed2011 Jan 01; 96 AB - Introduction Neonatal infection is an important cause of morbidity and mortality. Neonatal infection surveillance networks are necessary for defining the epidemiology of infections and monitoring changes over time. Design Prospective multicentre surveillance using a web-based database. Setting 12 English neonatal units. Participants Newborns admitted in 2006–2008, with positive blood, cerebrospinal fluid or urine culture and treated with antibiotics for at least 5 days. Outcome measure Incidence, age at infection, pathogens and antibiotic resistance profiles. Results With the inclusion of coagulase negative Staphylococci (CoNS), the incidence of all neonatal infection was 8/1000 live births and 71/1000 neonatal admissions (2007–2008). The majority of infections occurred in premature (<37 weeks) and low birthweight (<2500 g) infants (82% and 81%, respectively). The incidence of early onset sepsis (EOS; ≤48 h of age) was 0.9/1000 live births and 9/1000 neonatal admissions, and group B Streptococcus (58%) and Escherichia coli (18%) were the most common organisms. The incidence of late onset sepsis (LOS; >48 h of age) was 3/1000 live births and 29/1000 neonatal admissions (7/1000 live births and 61/1000 admissions including CoNS) and the most common organisms were CoNS (54%), Enterobacteriaceae (21%) and Staphylococcus aureus (18%, 11% of which were methicillin resistant S aureus). Fungi accounted for 9% of LOS (72% Candida albicans). The majority of pathogens causing EOS (95%) and LOS (84%) were susceptible to commonly used empiric first line antibiotic combinations of penicillin/gentamicin and flucloxacillin/gentamicin, respectively (excluding CoNS). Conclusions The authors have established NeonIN in England and defined the current epidemiology of neonatal infections. These data can be used for benchmarking among units, international comparisons and as a platform for interventional studies.