Can we improve early identification of neonatal late-onset sepsis? A validated prediction model

J Perinatol. 2020 Sep;40(9):1315-1322. doi: 10.1038/s41372-020-0649-6. Epub 2020 Mar 20.

Abstract

Objective: No single test can accurately identify neonatal late-onset sepsis (LOS). Our aim was to use clinical evaluation with laboratory tests to rapidly assess sepsis risk.

Study design: A retrospective case-control study was performed in a tertiary Neonatal Center during the years 2016-2019. Infants with bacteriologically confirmed LOS were compared with control infants. A clinical health evaluation score was assigned to each infant. A prediction model was developed and validated by multivariable analysis.

Results: The study included 145 infants, 48 with sepsis, and 97 controls. LOS was independently associated with: sick appearance (OR: 5.7, 95% CI: 1.1-29.1), C-reactive protein > 0.75 (OR: 5.4, 95% CI: 1.1-26.3), and neutrophil-to-lymphocyte ratio > 1.5 (OR: 6.7, 95% CI: 1.2-38.5). Our model had an area under the receiver operating characteristic curve of 0.92 (95% CI: 0.86-0.97).

Conclusions: Clinical evaluation with neutrophil-to-lymphocyte ratio and C-reactive protein can rapidly identify LOS enabling decreased health costs and antibiotic use.

MeSH terms

  • Case-Control Studies
  • Humans
  • Infant
  • Infant, Newborn
  • Infant, Premature
  • Neonatal Sepsis* / diagnosis
  • Neonatal Sepsis* / epidemiology
  • Retrospective Studies
  • Sepsis* / diagnosis