[A predictive bacterial infection score according to eosinophil level: An observational study]

Rev Med Interne. 2018 Jan;39(1):10-16. doi: 10.1016/j.revmed.2017.10.425. Epub 2017 Dec 6.
[Article in French]

Abstract

Introduction: Several studies have shown that eosinopenia less than 0.04g/L is a marker of bacterial infection in the presence of unexplained inflammatory syndrome. The aim of our study was to test this hypothesis and to propose a predictive score for bacterial infection (score CIBLE, C reactive protein, bacterial infections, levels of leucocytes and eosinophils).

Patients and methods: This was a single-center observational study of patients admitted to an internal medicine department in the year 2015 and presenting with an inflammatory biological syndrome. Patients were divided into 2 groups: bacterial infections (group 1) and nonbacterial inflammatory diseases (group 2).

Results: One hundred and ninety patients were included: 92 men (48.4 %) and 98 women (51.6 %). Mean age was 73.5±18.2 years [19-104]. Group 1 consisted of 124 patients (65.2 %) and group 2 of 66 patients (34.8 %). ROC analysis confirmed a cut-off level for eosinophils count at 0.04g/L as discriminant to predict bacterial infection. In a multivariate analysis, the eosinophil/neutrophil ratio, a history of COPD, the C reactive protein concentration, patient age and initial temperature were the most significant variables. They were used to build the CIBLE score. For a score higher than or equal to 87, the probability of a bacterial infection is at least 70 %.

Conclusion: The CIBLE score appears to be a relevant and inexpensive tool to establish a probability for bacterial infection.

Keywords: C-reactive protein; Complete blood count; Eosinopenia; Numération formule sanguine; Procalcitonin; Procalcitonine; Protéine C réactive; Éosinopénie.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Bacterial Infections / blood
  • Bacterial Infections / diagnosis*
  • Biomarkers / blood*
  • Eosinophils / pathology*
  • Female
  • Humans
  • Leukocyte Count
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prognosis
  • Research Design
  • Young Adult

Substances

  • Biomarkers