BACKGROUND: Recent evidence suggests that vancomycin demonstrates reduced activity against methicillin-resistant Staphylococcus aureus (MRSA) infections when vancomycin MIC values are at the high end of the susceptibility range (> or = 1.5 mg/L). However, scant research exists on factors predictive of high vancomycin MICs (> or = 1.5 mg/L) among MRSA bacteraemic patients. Empirical therapy decisions would greatly benefit from such information. OBJECTIVES: To identify the parameters predictive of high vancomycin MICs (> or = 1.5 mg/L) among MRSA bacteraemic patients and to develop an evidence-based clinical prediction tool. METHODS: This observational cohort study included adult patients with MRSA bloodstream infections between January 2005 and May 2007. Demographics, co-morbid conditions, and microbiology and antibiotic exposure data were collected. Vancomycin MICs were determined by Etest. Stepwise logistic regression was used to identify independent predictors of high vancomycin MICs. RESULTS: Of the 105 patients who met the inclusion criteria, 77 patients (73.3%) exhibited a high vancomycin MIC (> or = 1.5 mg/L). In the bivariate analysis, prior vancomycin exposure within 30 days of index culture collection [15 patients (19.5%) versus 1 patient (3.6%), P = 0.05] and residence in an intensive care unit (ICU) at the onset of infection [27 patients (35.1%) versus 3 patients (10.7%), P = 0.02] were both significantly associated with a high vancomycin MIC value and both were independent predictors of high MICs in the logistic regression. CONCLUSIONS: Patients with MRSA bloodstream infections in the ICU or with a history of vancomycin exposure should be considered at high risk of infection with strains for which vancomycin MICs are elevated. Appropriate and aggressive empirical therapy is required for these patients.
BACKGROUND: Recent evidence suggests that vancomycin demonstrates reduced activity against methicillin-resistant Staphylococcus aureus (MRSA) infections when vancomycin MIC values are at the high end of the susceptibility range (> or = 1.5 mg/L). However, scant research exists on factors predictive of high vancomycin MICs (> or = 1.5 mg/L) among MRSA bacteraemic patients. Empirical therapy decisions would greatly benefit from such information. OBJECTIVES: To identify the parameters predictive of high vancomycin MICs (> or = 1.5 mg/L) among MRSA bacteraemic patients and to develop an evidence-based clinical prediction tool. METHODS: This observational cohort study included adult patients with MRSA bloodstream infections between January 2005 and May 2007. Demographics, co-morbid conditions, and microbiology and antibiotic exposure data were collected. Vancomycin MICs were determined by Etest. Stepwise logistic regression was used to identify independent predictors of high vancomycin MICs. RESULTS: Of the 105 patients who met the inclusion criteria, 77 patients (73.3%) exhibited a high vancomycin MIC (> or = 1.5 mg/L). In the bivariate analysis, prior vancomycin exposure within 30 days of index culture collection [15 patients (19.5%) versus 1 patient (3.6%), P = 0.05] and residence in an intensive care unit (ICU) at the onset of infection [27 patients (35.1%) versus 3 patients (10.7%), P = 0.02] were both significantly associated with a high vancomycin MIC value and both were independent predictors of high MICs in the logistic regression. CONCLUSIONS:Patients with MRSA bloodstream infections in the ICU or with a history of vancomycin exposure should be considered at high risk of infection with strains for which vancomycin MICs are elevated. Appropriate and aggressive empirical therapy is required for these patients.
Authors: Michael J Rybak; Celine Vidaillac; Helio S Sader; Paul R Rhomberg; Hossein Salimnia; Lawrence E Briski; Audrey Wanger; Ronald N Jones Journal: J Clin Microbiol Date: 2013-04-17 Impact factor: 5.948
Authors: John A Bosso; Jean Nappi; Celeste Rudisill; Marlea Wellein; P Brandon Bookstaver; Jenna Swindler; Patrick D Mauldin Journal: Antimicrob Agents Chemother Date: 2011-09-26 Impact factor: 5.191
Authors: Eric Y Kok; Jesus G Vallejo; Lauren M Sommer; Louie Rosas; Sheldon L Kaplan; Kristina G Hulten; J Chase McNeil Journal: Antimicrob Agents Chemother Date: 2018-04-26 Impact factor: 5.191
Authors: Pamela A Moise; Alan Forrest; Arnold S Bayer; Yan Q Xiong; Michael R Yeaman; George Sakoulas Journal: J Infect Dis Date: 2010-01-15 Impact factor: 5.226
Authors: Christopher Giuliano; Christopher Giulano; Krystal K Haase; Ronald Hall Journal: Expert Rev Anti Infect Ther Date: 2010-01 Impact factor: 5.091