AI Article Synopsis

  • * Identifying perinatal risk factors and using new molecular assays can enhance the accuracy of blood cultures, potentially minimizing unnecessary antibiotic use and improving treatment strategies.
  • * Future developments, including antibiotic lock therapy and artificial intelligence, may help personalize sepsis treatments and manage multidrug-resistant bacteria more effectively.

Article Abstract

Sepsis remains the second cause of death among neonates after the pathological consequences of extreme prematurity. In this review we summarized knowledge about pathogens causing early-onset sepsis (EOS) and late-onset sepsis (LOS), the role of perinatal risk factors in determining the EOS risk, and the tools used to reduce unnecessary antibiotics. New molecular assays could improve the accuracy of standard blood cultures, providing the opportunity for a quick and sensitive tool. Different sepsis criteria and biomarkers are available to date, but further research is needed to guide the use of antibiotics according to these tools. Beyond the historical antibiotic regimens in EOS and LOS episodes, antibiotics should be based on the local flora and promptly modulated if specific pathogens are identified. The possibility of an antibiotic lock therapy for central venous catheters should be further investigated. In the near future, artificial intelligence could help us to personalize treatments and reduce the increasing trend of multidrug-resistant bacteria.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11435811PMC
http://dx.doi.org/10.3390/tropicalmed9090199DOI Listing

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