Literature DB >> 23743088

Long-term survival in patients included in a randomized controlled trial of TREAT, a decision support system for antibiotic treatment.

Leonard Leibovici1, Galia Kariv, Mical Paul.   

Abstract

OBJECTIVES: TREAT is a computerized decision support system for antibiotic treatment. In a randomized controlled trial it improved significantly the percentage of appropriate empirical antibiotic treatment and shortened hospital stay, while the usage of broad-spectrum antibiotics was reduced. The trial was not powered to show significance for the difference in 1 month mortality rate. In the present analysis we looked at 6 month survival in one of the hospitals (Beilinson Hospital) that participated in the trial.
METHODS: We plotted the Kaplan-Meier survival function for all patients [intention to treat (ITT)] and for patients treated according to the TREAT advice [per protocol (PP)]. The analysis was repeated for patients with clinically or bacteriologically documented bacterial infections.
RESULTS: At Beilinson Hospital 1683 patients were included in the study, 860 in the intervention arm and 823 in the control arm. In the ITT analysis 180 day survival in control patients was 71% versus 74% in the intervention patients (P = 0.2). In the PP analysis the survival percentages were 71% and 77%, respectively (P = 0.04). In patients with bacterial infections, in the ITT analysis 180 day survival in the control group was 68% versus 71% in the intervention patients (P = 0.1). In the PP analysis the survival percentages were 68% versus 74% (P = 0.04).
CONCLUSIONS: The present data support an effect of the TREAT decision support system on 6 month survival, mainly because of its benefit in patients with documented bacterial infections.

Entities:  

Keywords:  appropriate antibiotic treatment; documented bacterial infections; mortality

Mesh:

Substances:

Year:  2013        PMID: 23743088     DOI: 10.1093/jac/dkt222

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  8 in total

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Journal:  Open Forum Infect Dis       Date:  2020-06-29       Impact factor: 3.835

Review 4.  The effects of on-screen, point of care computer reminders on processes and outcomes of care.

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Review 5.  Applications of Machine Learning to the Problem of Antimicrobial Resistance: an Emerging Model for Translational Research.

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Review 6.  The effectiveness of computerised decision support on antibiotic use in hospitals: A systematic review.

Authors:  Christopher E Curtis; Fares Al Bahar; John F Marriott
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7.  Mortality Benefits of Antibiotic Computerised Decision Support System: Modifying Effects of Age.

Authors:  Angela L P Chow; David C Lye; Onyebuchi A Arah
Journal:  Sci Rep       Date:  2015-11-30       Impact factor: 4.379

8.  A Risk-Based Clinical Decision Support System for Patient-Specific Antimicrobial Therapy (iBiogram): Design and Retrospective Analysis.

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  8 in total

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