Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 1992 Nov;15(5):866-73.
doi: 10.1093/clind/15.5.866.

Factors influencing prognosis in bacteremia due to gram-negative organisms: evaluation of 448 episodes in a Turkish university hospital

Affiliations
Review

Factors influencing prognosis in bacteremia due to gram-negative organisms: evaluation of 448 episodes in a Turkish university hospital

O Uzun et al. Clin Infect Dis. 1992 Nov.

Abstract

A total of 448 episodes of bacteremia due to gram-negative organisms observed during the 7-year period between 1983 and 1989 at Hacettepe University Hospitals were studied for evaluating the factors influencing the prognosis. The overall mortality rate was 45.0%. The mortality rates were not significantly different in "rapidly fatal" and "ultimately fatal" disease groups (48.3% and 45.5%, respectively), whereas it was significantly less (34.8%) in the "nonfatal" disease group compared with the "rapidly fatal" category. There were great differences in the mortality rates among different diseases within the same disease category. Shock, multi-organ failure, source of infection, hospital service, appropriateness of antibiotic therapy, and place of acquisition of infection were found to affect prognosis significantly in multivariate analysis. In conclusion, the identification of prognostic factors is a further step for making necessary interventions in reducing the mortality rate associated with bacteremia due to gram-negative organisms. Underlying disease is still an important prognostic factor; however, a new approach is needed for classification of underlying diseases.

PubMed Disclaimer

MeSH terms

Substances

LinkOut - more resources