Related Experiment Video
Updated: Apr 29, 2026

One-day Workflow Scheme for Bacterial Pathogen Detection and Antimicrobial Resistance Testing from Blood Cultures
Published on: July 9, 2012
Quantifying the matrix of relationships between reduced vancomycin susceptibility phenotypes and outcomes among
T P Lodise1, G L Drusano2, V Lazariu3
1Albany College of Pharmacy and Health Sciences, 106 New Scotland Avenue, Albany, NY, USA thomas.lodise@acphs.edu.
Objectives:
Several phenotypic characteristics of Staphylococcus aureus have been identified as aetiological factors responsible for adverse outcomes among patients receiving vancomycin. However, characterization of the outcomes associated with these reduced vancomycin susceptibility phenotypes (rVSPs) remains largely incomplete and it is unknown if these features contribute to deleterious treatment outcomes alone or in concert. This study described the interrelationship between rVSPs and assessed their individual and combined effects on outcomes among patients who received vancomycin for a methicillin-resistant S. aureus (MRSA) bloodstream infection.
Methods:
An observational study of adult, hospitalized patients with MRSA bloodstream infections who were treated with vancomycin between January 2005 and June 2009 was performed. The rVSPs evaluated included the following: (i) Etest MIC; (ii) broth microdilution MIC; (iii) MBC : MIC ratio; and (iv) heteroresistance to vancomycin by the Etest macromethod. Failure was defined as any of the following: (i) 30 day mortality; (ii) bacteraemia ≥ 7 days on therapy; or (iii) recurrence of MRSA bacteraemia within 60 days of therapy discontinuation.
Results:
During the study period, 184 cases met the study criteria and 41.3% met the failure criteria. There was a clear linear exposure-response relationship between the number of these phenotypic markers and outcomes. As the number of phenotypes escalated, the incidence of overall failure increased incrementally by 10%-18%.
Conclusions:
The data suggest that rVSPs contribute to deleterious treatment outcomes in concert.
Insights
Reduced vancomycin susceptibility phenotypes (rVSPs) in methicillin-resistant Staphylococcus aureus (MRSA) infections increase treatment failure. The more rVSP markers present, the higher the likelihood of adverse outcomes in patients treated with vancomycin.
Area of Science:
- Microbiology
- Infectious Diseases
- Pharmacology
Background:
- Phenotypic characteristics of Staphylococcus aureus, termed reduced vancomycin susceptibility phenotypes (rVSPs), are linked to poor outcomes in vancomycin-treated patients.
- The combined impact of these rVSPs on treatment outcomes is not fully understood.
Purpose of the Study:
- To investigate the interrelationship between rVSPs in methicillin-resistant S. aureus (MRSA).
- To assess the individual and combined effects of rVSPs on treatment outcomes in patients with MRSA bloodstream infections receiving vancomycin.
Main Methods:
- An observational study included adult, hospitalized patients with MRSA bloodstream infections treated with vancomycin (January 2005 - June 2009).
- Evaluated rVSPs included Etest MIC, broth microdilution MIC, MBC:MIC ratio, and vancomycin heteroresistance.
- Treatment failure was defined by 30-day mortality, persistent bacteremia (≥7 days), or recurrence within 60 days.
Main Results:
- Of 184 patients, 41.3% experienced treatment failure.
- A linear exposure-response relationship was observed between the number of rVSP markers and adverse outcomes.
- Increasing numbers of rVSP phenotypes correlated with a 10%-18% incremental increase in overall failure rates.
Conclusions:
- The findings suggest that reduced vancomycin susceptibility phenotypes contribute to adverse treatment outcomes in a combined manner.
- rVSPs act in concert to negatively impact vancomycin treatment efficacy for MRSA infections.
More Related Videos
Related Concept Videos
Clinical Significance of Antibiotic Resistance
Mechanism of Antibiotic Resistance in MRSA
Development of Antibiotic Resistance
Antimicrobial Effectiveness
Automated Microbial Diagnostics

