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Variables associated with peripherally inserted central catheter related infection in high risk newborn infants

Uesliz Vianna Rangel1, Saint Clair dos Santos Gomes Junior1, Ana Maria Aranha Magalhães Costa1

  • 1Instituto Fernandes Figueira, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.

Revista Latino-Americana De Enfermagem
|December 11, 2014
PubMed

Insights

This study investigated risk factors for peripherally inserted central catheter infections in high-risk newborns. Acid secretion inhibitors, postnatal steroids, and multiple invasive procedures were linked to increased infection risk.

Area of Science:

  • Neonatal Medicine
  • Infectious Disease Epidemiology
  • Clinical Research

Background:

  • Healthcare-associated infections pose significant risks to vulnerable high-risk newborn infants.
  • Peripherally inserted central catheters (PICCs) are crucial for neonatal care but are associated with infection risks.
  • Surveillance forms aim to identify factors contributing to device-related infections.

Purpose of the Study:

  • To identify variables from surveillance forms associated with peripherally inserted central catheter (PICC)-related infections in high-risk neonates.
  • To evaluate the predictive value of specific clinical and procedural factors for PICC-related infections.

Main Methods:

  • Retrospective analysis of 63 medical records of high-risk neonates (500-1,499 g).
  • Investigated approximately 15 variables from intravenous device surveillance forms.
  • Statistical association assessed using Chi-squared and Student t tests, with infection defined by blood culture results.

Main Results:

  • Observed an overall PICC-related infection rate of 25.4%.
  • Three variables showed a statistically significant association with infection: use of acid secretion inhibitors (p=0.0141), postnatal steroid use (p=0.0472), and multiple invasive procedures (p=0.0277).

Conclusions:

  • The limited significance of many surveillance form variables may stem from record quality and lack of standardization.
  • Adherence to surveillance protocols and accurate form completion are recommended to improve data utility.
  • Identifying specific risk factors like medication use and procedures is crucial for targeted infection prevention strategies.
Abstract

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