Predicting Bacteremia at the Bedside

90Citations
Citations of this article
69Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Our aim was to develop a clinical prediction rule for detection of bacteremia in a cohort of patients observed prospectively at a reference center in Medellín, Colombia. The significant predictors of bacteremia were an age of ≥30 years (odds ratio [OR], 2.07; 95% confidence interval [CI], 1.19-3.60), a heart rate of ≥90 beats/ min (OR, 1.90; 95% CI, 1.13-3.17), a temperature of ≥37.8°C (OR, 2.42; 95% CI, 1.41-4.14), a leukocyte count of ≥12,000 cells/μL (OR, 2.40; 95% CI, 1.41-4.10), use of a central venous catheter (OR, 1.89; 95% CI, 1.02-3.50), and a length of hospitalization of ≥10 days (OR, 2.02; 95% CI, 1.25-3.24). The Hosmer-Lemeshow test revealed a goodness-of-fit of 2.99 (P = .981), and the area under the receiver operating characteristics curve was 0.7186. Simple variables obtained from the clinical history of patients are associated with bloodstream infection in a reproducible fashion and should be instrumental for prioritizing the requests for blood cultures by clinicians.

Cite

CITATION STYLE

APA

Jaimes, F., Arango, C., Ruiz, G., Cuervo, J., Botero, J., Vélez, G., … Machado, F. (2004). Predicting Bacteremia at the Bedside. Clinical Infectious Diseases, 38(3), 357–362. https://doi.org/10.1086/380967

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free