UNLABELLED: The clinical value of information provided by the Microbiology Laboratory may be reduced by the time it takes to generate results for healthcare providers. The aim of this study was to measure the clinical and economic impact associated with rapid reporting of microbiological results. METHODS: 574 hospitalized patients with a bacterial clinical infection confirmed by culture were evaluated. 284 hospitalized patients were included in the historical control group (results available the day following the analysis) and 290 in the intervention group (results available the same day of the analysis). The Vitek(®) 2 system (bioMérieux) was used for identification and antimicrobial susceptibility testing in both groups. RESULTS: Faster reporting of microbiological results enabled the clinician to optimize the antibiotic treatment sooner (P < 0.001). This reduction in turnaround time (17.6 h) was associated with improved clinical outcome, a significant reduction in the length of hospitalization and the number of microbiological and biochemical tests performed. Intubation requirements were significantly lower in the intervention group. Mortality rates did not differ significantly between the two groups. Costs incurred for patients in the intervention group were significantly lower than those in the control group, including costs for Microbiology Laboratory testing, antibiotic costs, length of hospitalization and other patient care costs. CONCLUSIONS: Rapid microbiological information was associated with quality improvement seen in earlier changes in antibiotic use, an improved clinical outcome and financial benefits.
UNLABELLED: The clinical value of information provided by the Microbiology Laboratory may be reduced by the time it takes to generate results for healthcare providers. The aim of this study was to measure the clinical and economic impact associated with rapid reporting of microbiological results. METHODS: 574 hospitalized patients with a bacterial clinical infection confirmed by culture were evaluated. 284 hospitalized patients were included in the historical control group (results available the day following the analysis) and 290 in the intervention group (results available the same day of the analysis). The Vitek(®) 2 system (bioMérieux) was used for identification and antimicrobial susceptibility testing in both groups. RESULTS: Faster reporting of microbiological results enabled the clinician to optimize the antibiotic treatment sooner (P < 0.001). This reduction in turnaround time (17.6 h) was associated with improved clinical outcome, a significant reduction in the length of hospitalization and the number of microbiological and biochemical tests performed. Intubation requirements were significantly lower in the intervention group. Mortality rates did not differ significantly between the two groups. Costs incurred for patients in the intervention group were significantly lower than those in the control group, including costs for Microbiology Laboratory testing, antibiotic costs, length of hospitalization and other patient care costs. CONCLUSIONS: Rapid microbiological information was associated with quality improvement seen in earlier changes in antibiotic use, an improved clinical outcome and financial benefits.
Authors: M F Q Kluytmans-van den Bergh; M C Vos; B M W Diederen; C M J E Vandenbroucke-Grauls; A Voss; J A J W Kluytmans Journal: Eur J Clin Microbiol Infect Dis Date: 2013-07-27 Impact factor: 3.267
Authors: S Le Page; A van Belkum; C Fulchiron; R Huguet; D Raoult; J-M Rolain Journal: Eur J Clin Microbiol Infect Dis Date: 2015-06-20 Impact factor: 3.267
Authors: Ritu Banerjee; Christine B Teng; Scott A Cunningham; Sherry M Ihde; James M Steckelberg; James P Moriarty; Nilay D Shah; Jayawant N Mandrekar; Robin Patel Journal: Clin Infect Dis Date: 2015-07-20 Impact factor: 9.079
Authors: A Verroken; L Defourny; L Lechgar; A Magnette; M Delmée; Y Glupczynski Journal: Eur J Clin Microbiol Infect Dis Date: 2014-09-25 Impact factor: 3.267
Authors: Kathleen E Mach; Aniruddha M Kaushik; Kuangwen Hsieh; Pak Kin Wong; Tza-Huei Wang; Joseph C Liao Journal: Analyst Date: 2019-02-25 Impact factor: 4.616
Authors: Alex van Belkum; Géraldine Durand; Michel Peyret; Sonia Chatellier; Gilles Zambardi; Jacques Schrenzel; Dee Shortridge; Anette Engelhardt; William Michael Dunne Journal: Ann Lab Med Date: 2012-12-17 Impact factor: 3.464