Use of the complete blood cell count in late-onset neonatal sepsis

Pediatr Infect Dis J. 2012 Aug;31(8):803-7. doi: 10.1097/INF.0b013e31825691e4.

Abstract

Background: Late-onset sepsis is an important cause of morbidity and mortality in infants. Diagnosis of late-onset sepsis can be challenging. The complete blood cell count and differential have been previously evaluated as diagnostic tools for late-onset sepsis in small, single-center reports.

Objective: We evaluated the diagnostic accuracy of the complete blood cell count and differential in late-onset sepsis in a large multicenter population.

Study design: Using a cohort of all infants with cultures and complete blood cell count data from a large administrative database, we calculated odds ratios for infection, as well as sensitivity, specificity, positive and negative predictive values and likelihood ratios for various commonly used cut-off values.

Results: High and low white blood cell counts, high absolute neutrophil counts, high immature-to-total neutrophil ratios and low platelet counts were associated with late-onset sepsis. Associations were weaker with increasing postnatal age at the time of the culture. Specificity was highest for white blood cell counts <1000/mm and >50,000/mm (>99%). Positive likelihood ratios were highest for white blood cell counts <1000/mm (4.1) and platelet counts <50,000/mm (3.5).

Conclusion: No complete blood cell count index possessed adequate sensitivity to reliably rule out late-onset sepsis in this population.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Age of Onset
  • Area Under Curve
  • Blood Cell Count
  • Cohort Studies
  • Humans
  • Infant, Newborn
  • Infant, Newborn, Diseases / blood*
  • Infant, Newborn, Diseases / diagnosis
  • Infant, Newborn, Diseases / epidemiology
  • Odds Ratio
  • Prospective Studies
  • ROC Curve
  • Risk Factors
  • Sepsis / blood*
  • Sepsis / diagnosis
  • Sepsis / epidemiology