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.
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.
Authors: James L Wynn; Hector R Wong; Thomas P Shanley; Matthew J Bizzarro; Lisa Saiman; Richard A Polin Journal: Pediatr Crit Care Med Date: 2014-07 Impact factor: 3.624
Authors: Samir K Saha; Zabed B Ahmed; Joyanta K Modak; Hakka Naziat; Shampa Saha; Mohammad A Uddin; Maksuda Islam; Abdullah H Baqui; Gary L Darmstadt; Stephanie J Schrag Journal: J Clin Microbiol Date: 2017-05-17 Impact factor: 5.948
Authors: Chris Stockmann; Michael G Spigarelli; Sarah C Campbell; Jonathan E Constance; Joshua D Courter; Emily A Thorell; Jared Olson; Catherine M T Sherwin Journal: Paediatr Drugs Date: 2014-02 Impact factor: 3.022