» Articles » PMID: 14727205

Predicting Bacteremia at the Bedside

Overview
Journal Clin Infect Dis
Date 2004 Jan 17
PMID 14727205
Citations 32
Authors
Affiliations
Soon will be listed here.
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 >or=30 years (odds ratio [OR], 2.07; 95% confidence interval [CI], 1.19-3.60), a heart rate of >or=90 beats/min (OR, 1.90; 95% CI, 1.13-3.17), a temperature of >or=37.8 degrees C (OR, 2.42; 95% CI, 1.41-4.14), a leukocyte count of >or=12,000 cells/microL (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 >or=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.

Citing Articles

Added Value of Shaking Chills for Predicting Bacteremia in Patients with Suspected Infection.

Kudo M, Takada T, Fujii K, Sasaki S, Yagi Y, Yano T J Gen Intern Med. 2024; .

PMID: 39707092 DOI: 10.1007/s11606-024-09291-8.


Clinical predictors of hospital-acquired bloodstream infections: A healthcare system analysis.

Singh H, Sheth R, Bhatia M, Muhammad A, Bachour C, Metcalf D Spartan Med Res J. 2024; 9(3):123414.

PMID: 39280116 PMC: 11402462. DOI: 10.51894/001c.123414.


Utility of shaking chills as a diagnostic sign for bacteremia in adults: a systematic review and meta-analysis.

Aita T, Nakagawa H, Takahashi S, Naganuma T, Anan K, Banno M BMC Med. 2024; 22(1):240.

PMID: 38863066 PMC: 11167933. DOI: 10.1186/s12916-024-03467-z.


Delayed Treatment of Bloodstream Infection at Admission is Associated With Initial Low Early Warning Score and Increased Mortality.

Fischer C, Kastoft E, Olesen B, Myrup B Crit Care Explor. 2023; 5(9):e0959.

PMID: 37644974 PMC: 10461960. DOI: 10.1097/CCE.0000000000000959.


Predicting Bacteremia among Septic Patients Based on ED Information by Machine Learning Methods: A Comparative Study.

Goh V, Chou Y, Lee C, Ma M, Wang W, Lin C Diagnostics (Basel). 2022; 12(10).

PMID: 36292187 PMC: 9600599. DOI: 10.3390/diagnostics12102498.