Objective: To compare the management recommendations of the Kaiser Permanente neonatal early-onset sepsis risk calculator (SRC) with National Institute for Health and Care Excellence (NICE) guideline CG149 in infants ≥34 weeks' gestation who developed early-onset sepsis (EOS).
Design: Retrospective multicentre study.
Setting: Five maternity services in South West of England and Wales.
Patients: 70 infants with EOS (<72 hours) confirmed on blood or cerebrospinal fluid culture.
Methods: Retrospective virtual application of NICE and SRC through review of maternal and neonatal notes.
Main Outcome Measure: The number of infants recommended antibiotics by 4 hours of birth.
Results: The incidence of EOS ≥34 weeks was 0.5/1000 live births. Within 4 hours of birth, antibiotics were recommended for 39 infants (55.7%) with NICE, compared with 27 (38.6%) with SRC. The 12 infants advised early treatment by NICE but not SRC remained well, only one showing transient mild symptoms after 4 hours. Another four babies received antibiotics by 4 hours outside NICE and SRC guidance. The remaining 27 infants (38.6%) received antibiotics when symptomatic after 4 hours. Only one infant who was unwell from birth, died. Eighty-one per cent of all EOS infants were treated for clinical reasons rather than for risk factors alone.
Conclusion: While both tools were poor in identifying EOS within 4 hours, NICE was superior to SRC in identifying asymptomatic cases. Currently, four out of five EOS have symptoms at first identification, the majority of whom present within 24 hours of birth. Antibiotic stewardship programmes using SRC should include enhanced observation for infants currently treated within NICE guidance.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1136/archdischild-2019-317165 | DOI Listing |
J Clin Med
December 2024
Department of Neonatology, Faculty of Medicine, Ludwik Rydgier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Ujejskiego 75, 85-168 Bydgoszcz, Poland.
Neonatal sepsis, a severe infection in newborns, remains one of the leading causes of morbidity and mortality among preterm infants. This study aimed to investigate the distribution of pathogens responsible for early-onset sepsis (EOS) and late-onset sepsis (LOS), the annual variability of pathogens responsible for each type of infection, and potential trends in their profiles in preterm infants from a tertiary care neonatal intensive care unit over a ten-year period. We analyzed 177 episodes of confirmed bloodstream infection between 1 January 2014 and 31 December 2023.
View Article and Find Full Text PDFBMJ Paediatr Open
January 2025
Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Background: Antibiotic use for early-onset neonatal sepsis (EONS) is common, but prolonged exposure can lead to poor outcomes. Laboratory capacity and infection prevention initiatives may impact antibiotic use for EONS in neonatal intensive care units. The objective of this study was to examine the influence of institutional capacity on antibiotic prescribing for EONS in India.
View Article and Find Full Text PDFBMJ Open
January 2025
USTTB FMOS, Bamako, Mali.
Objective: This study aimed to assess the prevalence and risk factors for neonatal sepsis among neonates admitted to selected health facilities in the Bamako district and Koulikoro region in Mali.
Design: This is a prospective cross-sectional study. Data were analyses using bivariate and multivariate logistic regression.
Am J Infect Control
December 2024
Department of Microbiology, Vietnam National Children's Hospital, Hanoi, Vietnam.
Sci Rep
December 2024
The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
To investigate the effects of early-onset sepsis (EOS) on retinopathy of prematurity (ROP) in extremely premature infants (EPIs) by using propensity score matching (PSM). Clinical data of 591 EPIs admitted to NICU, Senior Department of Pediatric, PLA General Hospital from May 1, 2015 to May 1, 2022 were retrospectively analyzed. They were divided into an EOS group and a non-EOS group according to whether they had confirmed EOS or not.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!