Performance of the TREAT decision support system in an environment with a low prevalence of resistant pathogens.

OBJECTIVES To evaluate a decision support system (TREAT) for guidance of empirical antimicrobial therapy in an environment with a low prevalence of resistant pathogens. METHODS A retrospective trial of TREAT has been performed at Copenhagen University, Hvidovre Hospital. The cohort of patients included adults with systemic inflammation and suspicion of community-acquired bacterial infection. The empirical antimicrobial treatment recommended by TREAT was compared with the empirical antimicrobial treatment prescribed by the first attending clinical physician. RESULTS Out of 171 patients recruited, 161 (65 with microbiologically documented infections) fulfilled the inclusion criteria of TREAT. Coverage achieved by TREAT was significantly higher than that by clinical practice (86% versus 66%, P = 0.007). There was no significant difference in the cost of future resistance between treatments chosen by TREAT and those by physicians. The direct expenses for antimicrobials were higher in TREAT when including patients without antimicrobial treatment, while there was no significant difference otherwise. The cost of side effects was significantly lower using TREAT. CONCLUSIONS The results of the study suggest that TREAT can improve the appropriateness of antimicrobial therapy and reduce the cost of side effects in regions with a low prevalence of resistant pathogens, however, at the expense of increased use of antibiotics.

[1]  Stephen J. Roberts,et al.  Probabilistic Modeling in Bioinformatics and Medical Informatics , 2010 .

[2]  W. Knaus,et al.  Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. 1992. , 2009, Chest.

[3]  K. Larsen,et al.  Predicting mortality in patients with systemic inflammatory response syndrome: an evaluation of two prognostic models, two soluble receptors, and a macrophage migration inhibitory factor , 2008, European Journal of Clinical Microbiology & Infectious Diseases.

[4]  K. Larsen,et al.  Use of plasma C-reactive protein, procalcitonin, neutrophils, macrophage migration inhibitory factor, soluble urokinase-type plasminogen activator receptor, and soluble triggering receptor expressed on myeloid cells-1 in combination to diagnose infections: a prospective study , 2007, Critical care.

[5]  G. Tyrrell,et al.  Invasive Pneumococcal Infections in Canadian Children , 2007 .

[6]  Steen Andreassen,et al.  Improving empirical antibiotic treatment using TREAT, a computerized decision support system: cluster randomized trial. , 2006, The Journal of antimicrobial chemotherapy.

[7]  S. Andreassen,et al.  Benefit of appropriate empirical antibiotic treatment: thirty-day mortality and duration of hospital stay. , 2006, The American journal of medicine.

[8]  K. Wood,et al.  Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock* , 2006, Critical care medicine.

[9]  Steen Andreassen,et al.  A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology , 2005 .

[10]  Corinne Alberti,et al.  Influence of systemic inflammatory response syndrome and sepsis on outcome of critically ill infected patients. , 2003, American journal of respiratory and critical care medicine.

[11]  H. Konradsen,et al.  Invasive Pneumococcal Infections in Denmark from 1995 to 1999: Epidemiology, Serotypes, and Resistance , 2002, Clinical and Vaccine Immunology.

[12]  A. Glenny,et al.  Meta-analysis and systematic review of antibiotic trials. , 1999, The Journal of hospital infection.

[13]  Leibovici,et al.  The benefit of appropriate empirical antibiotic treatment in patients with bloodstream infection , 1998, Journal of internal medicine.

[14]  D. Bates,et al.  Epidemiology of sepsis syndrome in 8 academic medical centers. , 1997, JAMA.

[15]  R A Weinstein,et al.  Strategies to Prevent and Control the Emergence and Spread of Antimicrobial-Resistant Microorganisms in Hospitals. A challenge to hospital leadership. , 1996, JAMA.

[16]  L. Leibovici,et al.  Long-term survival following bacteremia or fungemia. , 1995, JAMA.