Distribution and clinical determinants of time-to-positivity of blood cultures in patients with neutropenia

Eur J Haematol. 2018 Feb;100(2):206-214. doi: 10.1111/ejh.13001. Epub 2017 Dec 13.

Abstract

Objectives: Blood cultures (BCs) are essential in the evaluation of neutropenic fever. Modern BC systems have significantly reduced the time-to-positivity (TTP) of BC. This study explores the probability of bacteraemia when BCs have remained negative for different periods of time.

Methods: All adult patients with neutropenia and bacteraemia were included (January 2012-February 2016). Predictive clinical factors for short (≤16 hours) and long (>24 hours) TTP were determined. The residual probability of bacteraemia was estimated for the scenario of negative BC 24 hours after collection.

Results: The cohort consisted of 154 patients, accounting for 190 episodes of bacteraemia. Median age of 61 years, 60.5% were male. In 123 (64.7%) episodes, BC yielded a single Gram-positive micro-organism and in 49 (25.8%) a Gram-negative micro-organism (median TTP 16.7, 14.5 hours respectively, P < .01). TTP was ≤24 hours in 91.6% of episodes. Central line-associated bacteraemia was associated with long TTP. The probability of bacteraemia if BC had remained negative for 24 hours was 1%-3%.

Conclusions: The expected TTP offers guidance in the management of patients with neutropenia and suspected bacteraemia. The knowledge of negative BC can support a change in working diagnosis, and impact clinical decisions as soon as 24 hours after BC collection.

Keywords: blood culture; empiric treatment; neutropenia; time-to-positivity.

MeSH terms

  • Adult
  • Aged
  • Bacteremia / blood
  • Bacteremia / diagnosis*
  • Bacteremia / etiology*
  • Bacteremia / mortality
  • Biomarkers
  • Blood Culture
  • Female
  • Hematopoietic Stem Cell Transplantation / adverse effects
  • Humans
  • Male
  • Middle Aged
  • Neutropenia / complications*
  • Neutropenia / diagnosis
  • Neutropenia / etiology
  • Patient Outcome Assessment
  • Probability
  • Prognosis
  • Symptom Assessment
  • Time Factors

Substances

  • Biomarkers