Back

Epidemiology of early- and late-onset serious bacterial infections in Australian neonates and infants: A retrospective multicentre study

Williams, P. C. M.; Mostaghim, M.; Harrison, J.; Lahra, M.; Greenhalgh, M.; O'Sullivan, M.; Maley, M.; Oei, J.-L.; Koirala, A.; Lui, K.; McMullan, B.; Palasanthiran, P.; Kesson, A.; Isaacs, D.; Bartlett, A.

2024-12-16 pediatrics
10.1101/2024.12.14.24318949 medRxiv
Show abstract

BackgroundThere has been little decline in neonatal mortality rates over recent decades, and this is now further challenged by the rising prevalence of antimicrobial resistance (AMR). In Australia, the incidence of neonatal sepsis is low on a global scale, yet there are increasingly frequent outbreaks of multidrug-resistant (MDR) infections in neonatal intensive care units, alongside rising rates of colonisation with MDR bacteria. MethodsWe analysed positive blood and cerebrospinal fluid (CSF) cultures collected from infants (aged 0 to [≤]180 days) across five clinical sites in Australia between 2010 and 2019, to determine evolving antimicrobial susceptibility profiles. ResultsAfter excluding presumed contaminants, we analysed 743 pathogenic bacterial isolates cultured from 624 neonates and infants with early- ([≤]72 hours), late- (>72 hours to [≤]28 days), and very late-onset (>28 days to [≤]180 days) infections. Escherichia coli (37%) and Streptococcus agalactiae (31%) were the primary pathogens responsible for early-onset bloodstream infections, whilst coagulase-negative staphylococci, E. coli and Staphylococcus aureus were responsible for most infections in older neonates and infants. Antimicrobial susceptibility to currently-recommended empiric regimens remains high; however, gram-negative bacteria - including MDR bacteria - were responsible for an increasing proportion of very late-onset infections over the study period (22% in 2010-2014 versus 34% in 2015-2019; p=0.07). ConclusionsAlthough empiric antimicrobial regimens remain adequate for most pathogens causing infections in neonates and infants in Australia, there is an increasing burden of invasive infections caused by gram-negative bacteria. Ongoing surveillance is necessary to ensure empiric antimicrobial guidelines remain efficacious and appropriate.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.