Scimago Lab
powered by Scopus
call: +1.631.470.9640
Mon-Fri 10 am - 2 pm EST


Medical Science Monitor Basic Research


eISSN: 1643-3750

Get your full text copy in PDF

Risk factors and outcomes of intensive care unit-acquired infections in a Tunisian ICU

Hatem Kallel, Hassen Dammak, Mabrouk Bahloul, Hichem Ksibi, Hedi Chelly, Chokri Ben Hamida, Noureddine Rekik, Mounir Bouaziz

Med Sci Monit 2010; 16(8): PH69-75

ID: 881089

Background:    ICU-acquired infections constitute an important world-wide health problem. Our aim was to determine the incidence, predictive factors and impact of ICU-AIs in ICU patients in Tunisia.
    Material/Methods:    We conducted a prospective observational cohort study over a 3 month period in the medical surgical intensive care unit of Habib Bourguiba University Hospital (Sfax-Tunisia).
    Results:    During the study period 261 patients were surveyed; 44 of them (16.9%) developed 55 episodes of ICU-AI (34.7 ICU-AI/1000 days of hospitalization). The most frequently identified infections were ventilator-associated pneumoniae (58.2%), and primary bloodstream infection (18.2%). The most frequently isolated organisms were multidrug-resistant P. aeruginosa (44.7%), and A. baumannii (21.3%). The initial antibiotic prescription for ICU-AI was inadequate in 9 cases (16.4% of episodes of ICU-AI). At ICU discharge, overall mortality was 29.9%. Independent risk factors for acquiring infection in ICU were the use of central venous catheter (p=0.014) and antibiotic prescription on admission for more than 24 hours (p=0.025), those of mortality in ICU were SAPS II of more than 35 points (p<0.001) and ICU-AI (p=0.002), and those of mortality at 28 days after an episode of ICU-AI were septic shock (p=0.004) and inadequate initial antimicrobial treatment (p=0.011).
    Conclusions:    We conclude that the occurrence of ICU-AI is significantly related to increased mortality, and that focusing interventions on better use of antibiotics would have a benefit in terms of prevention and consequences of ICU-AI.

This paper has been published under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.
I agree