P-1123. Characterization of microbiological isolates in the newborn unit of the San Ignacio university hospital between 2018 and 2022

Abstract Background Identifying local microbial profiles and antibiotic sensitivities is an important part of antimicrobial stewardship programs in order to prevent overuse of antibiotics. The purpose of this study was to characterize the microbiological isolates from patients hospitalized in the newborn care unit of the Hospital Universitario San Ignacio from January 1, 2018 to December 31, 2022. Total number of microorganisms isolated 1 Methods An observational, descriptive, historical single cohort study was conducted. Positive cultures of sterile samples (blood, urine, spinal fluid) from patients hospitalized. Demographic, clinical, and microbiological data of patients with positive cultures were also collected. Results A total of 207 positive cultures of sterile samples were identified (97 blood, 108 urines, 2 spinal fluid). The most frequent pathogens isolated were E. coli 28.9%, S. epidermidis 27%, Enterococcus faecalis 11.5%, Klebsiella pneumoniae 8.2% and Staphylococcus aureus 4.8%. E. coli and S. epidermidis being the main microorganisms isolated 28% each were the main pathogens associated with neonatal sepsis (NS). NS was predominantly late-onset >72 hours 94.6%. Early-onset sepsis was less common 5.3% and was associated with E. coli 5.4% and S. agalactiae 18.1%. Healthcare-associated infections (34.7%), and catheter-associated bloodstream infections (CLABSI) were the most common. Congenital heart disease (P = .000) was the main comorbidity related to CLABSI, as well as gastroschisis (P = 0.002) and intestinal atresia (P = 0.033) Multidrug-resistant (MDR) microorganisms were isolated in 12 instances (5.8%). Extended Spectrum Beta-Lactamase (ESBL) was 50%. Congenital heart disease was the only comorbidity with a statistically significant relationship with infection by MDR microorganisms (P = 0.026). Clinical and sociodemographic characteristics of the multidrug-resistant microorganism population. Conclusion This is the first study in our environment to know the basal factors of infections in a population at risk, the patterns of resistance and possible association with the most prevalent pathologies and, based on this, to define the strategies of antimicrobial stewardship. Disclosures All Authors: No reported disclosures

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.1310
Primary Topic
Neonatal and Maternal Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-1123. Characterization of microbiological isolates in the newborn unit of the San Ignacio university hospital between 2018 and 2022

A Montealegre, María Alejandra Suarez, Magdalena Martín Pérez, Yaris Anzully Vargas Vaca et al.
Open Forum Infectious Diseases
Neonatal and Maternal Infections
article

P-1123. Characterization of microbiological isolates in the newborn unit of the San Ignacio university hospital between 2018 and 2022

A Montealegre, María Alejandra Suarez, Magdalena Martín Pérez, Yaris Anzully Vargas Vaca, Ana María Bertolotto, Iris M. García Gómez, Gloria Cortés, Juan Carlos López
article en

Abstract

Abstract Background Identifying local microbial profiles and antibiotic sensitivities is an important part of antimicrobial stewardship programs in order to prevent overuse of antibiotics. The purpose of this study was to characterize the microbiological isolates from patients hospitalized in the newborn care unit of the Hospital Universitario San Ignacio from January 1, 2018 to December 31, 2022. Total number of microorganisms isolated 1 Methods An observational, descriptive, historical single cohort study was conducted. Positive cultures of sterile samples (blood, urine, spinal fluid) from patients hospitalized. Demographic, clinical, and microbiological data of patients with positive cultures were also collected. Results A total of 207 positive cultures of sterile samples were identified (97 blood, 108 urines, 2 spinal fluid). The most frequent pathogens isolated were E. coli 28.9%, S. epidermidis 27%, Enterococcus faecalis 11.5%, Klebsiella pneumoniae 8.2% and Staphylococcus aureus 4.8%. E. coli and S. epidermidis being the main microorganisms isolated 28% each were the main pathogens associated with neonatal sepsis (NS). NS was predominantly late-onset >72 hours 94.6%. Early-onset sepsis was less common 5.3% and was associated with E. coli 5.4% and S. agalactiae 18.1%. Healthcare-associated infections (34.7%), and catheter-associated bloodstream infections (CLABSI) were the most common. Congenital heart disease (P = .000) was the main comorbidity related to CLABSI, as well as gastroschisis (P = 0.002) and intestinal atresia (P = 0.033) Multidrug-resistant (MDR) microorganisms were isolated in 12 instances (5.8%). Extended Spectrum Beta-Lactamase (ESBL) was 50%. Congenital heart disease was the only comorbidity with a statistically significant relationship with infection by MDR microorganisms (P = 0.026). Clinical and sociodemographic characteristics of the multidrug-resistant microorganism population. Conclusion This is the first study in our environment to know the basal factors of infections in a population at risk, the patterns of resistance and possible association with the most prevalent pathologies and, based on this, to define the strategies of antimicrobial stewardship. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 12(Supplement_1)
Pontificia Universidad Javeriana (CO), Hospital Universitario San Ignacio (CO)
Openalex Percentile: Top 98%
Neonatal and Maternal Infections
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.