Distribution of Pathogens in Early- and Late-Onset Sepsis Among Preterm Infants: A Decade-Long Study in a Tertiary Referral Neonatal Intensive Care Unit

<b>Background:</b> 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. <b>Methods:</b> We analyzed 177 episodes of confirmed bloodstream infection between 1 January 2014 and 31 December 2023. An episode of confirmed bloodstream infection was defined by the growth of a single potential pathogen in the blood of an infant who met four criteria: showing clinical symptoms of infection, having abnormal hematologic parameters, receiving appropriate antibiotics for less than 5 days, and being born before 37 weeks of gestation. Pathogens were isolated from aseptically collected blood samples, processed within 2 h, incubated using the BACTEC system, and identified by Gram stains and selective media cultures. Pathogen identification was performed using standardized biochemical tests or MALDI-TOF MS. Sepsis was classified as EOS if it occurred within the first 72 h of life and as LOS if it occurred after 72 h. <b>Results:</b> Among the confirmed bloodstream infections, EOS accounted for 31 cases, while LOS accounted for 146 cases. Escherichia coli was identified as the primary pathogen responsible for early-onset sepsis (EOS), while Coagulase-negative Staphylococcus (CoNS) was most commonly associated with late-onset sepsis (LOS). The differences in the prevalence of these bacteria between EOS and LOS were statistically significant. However, no significant differences were found in the distribution of pathogens across different years, nor were there significant trends in their frequency over the study period. Our results demonstrate significant stability in the distribution of pathogens causing sepsis over the ten-year observation period, even during the COVID-19 pandemic. <b>Conclusions:</b> Understanding the temporal distribution of pathogens in neonatal sepsis can help prevent the overuse of antibiotics and support the implementation of screening programs, empiric therapy, and strategies to prevent healthcare-associated infections.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2024-12-24
DOI
https://doi.org/10.3390/jcm14010005
Citations
4
Primary Topic
Neonatal and Maternal Infections
Type
article
Field-Weighted Citation Impact
2.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distribution of Pathogens in Early- and Late-Onset Sepsis Among Preterm Infants: A Decade-Long Study in a Tertiary Referral Neonatal Intensive Care Unit

Iwona Sadowska-Krawczenko, Andrzej Falkowski, Krzysztof Aleksander Szwed, Katarzyna Muszyńska-Radska
4 citations
Journal of Clinical Medicine
Neonatal and Maternal Infections
2.17
article

Distribution of Pathogens in Early- and Late-Onset Sepsis Among Preterm Infants: A Decade-Long Study in a Tertiary Referral Neonatal Intensive Care Unit

Iwona Sadowska-Krawczenko, Andrzej Falkowski, Krzysztof Aleksander Szwed, Katarzyna Muszyńska-Radska
article en
4 citations

Abstract

<b>Background:</b> 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. <b>Methods:</b> We analyzed 177 episodes of confirmed bloodstream infection between 1 January 2014 and 31 December 2023. An episode of confirmed bloodstream infection was defined by the growth of a single potential pathogen in the blood of an infant who met four criteria: showing clinical symptoms of infection, having abnormal hematologic parameters, receiving appropriate antibiotics for less than 5 days, and being born before 37 weeks of gestation. Pathogens were isolated from aseptically collected blood samples, processed within 2 h, incubated using the BACTEC system, and identified by Gram stains and selective media cultures. Pathogen identification was performed using standardized biochemical tests or MALDI-TOF MS. Sepsis was classified as EOS if it occurred within the first 72 h of life and as LOS if it occurred after 72 h. <b>Results:</b> Among the confirmed bloodstream infections, EOS accounted for 31 cases, while LOS accounted for 146 cases. Escherichia coli was identified as the primary pathogen responsible for early-onset sepsis (EOS), while Coagulase-negative Staphylococcus (CoNS) was most commonly associated with late-onset sepsis (LOS). The differences in the prevalence of these bacteria between EOS and LOS were statistically significant. However, no significant differences were found in the distribution of pathogens across different years, nor were there significant trends in their frequency over the study period. Our results demonstrate significant stability in the distribution of pathogens causing sepsis over the ten-year observation period, even during the COVID-19 pandemic. <b>Conclusions:</b> Understanding the temporal distribution of pathogens in neonatal sepsis can help prevent the overuse of antibiotics and support the implementation of screening programs, empiric therapy, and strategies to prevent healthcare-associated infections.

Journal of Clinical MedicineVol. 14(1)
Nicolaus Copernicus University (PL), Collegium Medicum in Bydgoszcz (PL)
Good health and well-being
Openalex Percentile: Top 11%
Neonatal and Maternal Infections
2.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.