Risk factors for nosocomial infections in critically ill newborns: A 5-year prospective cohort study
Abstract
Background Nosocomial infections (NIs) are one of the most important causes of morbidity in neonatal intensive care units (NICUs). The aim of this study was to identify risk factors (RFs) for NIs among critically ill newborn patients in a Brazilian NICU.Methods This 5-year prospective cohort study in an 8-bed NICU included all infants born in the hospital and admitted to the NICU from 1993 to 1997. Exposure variables were maternal and newborn data prospectively collected from patient records. Univariate and multivariate analyses were used to determine independent RFs associated with NIs.Results Univariate analysis indicated gestational age, congenital abnormality, premature rupture of membranes, maternal illness, birth weight, mechanical ventilation, central venous catheter, total parenteral nutrition, peripheral venous catheter, and length of stay as possible RFs. Multivariate analysis identified 5 independent RFs for NIs: premature rupture of membranes (hazard ratio [HR] = 1.51 [95% CI, 1.15-1.99]), maternal disease (HR = 1.57 [95% CI, 1.18-2.07]), mechanical ventilation (HR = 2.43 [95% CI, 1.67-3.53]), central venous catheter (HR = 1.70 [95% CI, 1.21-2.41]), and total parenteral nutrition (HR = 4.04 [95% CI, 2.61-6.25]).Conclusion The recognition of RFs for NIs is an important tool for the identification and development of interventions to minimize such risks in the NICU.
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Current guidelines recommend hospitalization and invasive therapy for neonates with "possible congenital syphilis".
“Current guidelines recommend hospitalization and invasive therapy for neonates with “possible congenital syphilis””
From Efectividad del tratamiento de la sífilis gestacional en el último trimestre sobre la incidencia de sífilis congénita: revisión sistemática y metanálisis (2025) · cites this paper as [47]
The recommendation for hospitalization and invasive therapy for neonates with "possible congenital syphilis" increases the theoretical risk of healthcare-associated infections.
“increasing the theoretical risk of healthcare-associated infections 47.”
From Efectividad del tratamiento de la sífilis gestacional en el último trimestre sobre la incidencia de sífilis congénita: revisión sistemática y metanálisis (2025) · cites this paper as [47]
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- Authors
- Kawagoe, J. Y., Segre, C. A. M., Pereira, C. R., Cardoso, M. F. S., Silva, C. V., & Fukushima, J. T.
- Affiliations
- Hospital Israelita Albert Einstein (BR)
- Venue
- American Journal of Infection Control
- Publisher
- Elsevier BV
- Published
- 2001-04
- Volume
- 29
- Issue
- 2
- Pages
- 109-114
- ISSN
- 0196-6553 (ISSN-L)
- OpenAlex
- W2171433508
- Cited by
- 120
- References
- 30
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2021: 8 · 2020: 3 · 2019: 7 · 2018: 3 · 2017: 4 · 2016: 7 · 2015: 3 · 2014: 9 · 2013: 10 · 2012: 4
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Infection Control (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Neonatal and Maternal Infections
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Nosocomial Infections in ICU
- Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
- Keywords
- nosocomial infections, critically ill neonates, neonatal intensive care, risk factors, premature rupture of membranes, maternal illness, mechanical ventilation, central venous catheters, total parenteral nutrition, congenital malformations, length of hospital stay
- MeSH terms
- Analysis of Variance, Birth Weight, Brazil, Catheters, Indwelling, Cross Infection, Female, Gestational Age, Hospitals, General, Humans, Infant, Newborn, Infant, Newborn, Diseases, Intensive Care Units, Neonatal, Length of Stay, Male, Parenteral Nutrition, Total, Pregnancy, Pregnancy Complications, Prospective Studies, Respiration, Artificial, Risk Factors, Incidence, Proportional Hazards Models, Critical Illness, Infection Control
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