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Updated: Nov 1, 2025

Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus MRSA
Published on: February 9, 2011
Optimizing Treatment of Hand Infections: Is MRSA Coverage Always Necessary?
Jeremie D Oliver1, Brian C Pridgen2, Heather E desJardins-Park2
1Department of Biomedical Engineering, School of Medicine and School of Dentistry, University of Utah, Salt Lake City, Utah.
Methicillin-resistant Staphylococcus aureus (MRSA) hand infections may not be as common as previously thought. Hospitals should analyze their own data to optimize treatment protocols for hand infections and reduce costs.
Area of Science:
- Infectious Diseases
- Hospital Epidemiology
- Surgical Infections
Background:
- Multiple publications have emphasized the prevalence of methicillin-resistant Staphylococcus aureus (MRSA) in hand infections.
- This has potentially influenced the empiric antibiotic treatment strategies for these infections.
Purpose of the Study:
- To identify the current standard of care for hand infections.
- To determine the most common bacterial pathogens causing hand infections.
- To identify factors contributing to prolonged hospital stays for patients with hand infections at a suburban hospital.
- To optimize treatment protocols and improve patient outcomes.
Main Methods:
- Retrospective cohort analysis of patients admitted for hand infections over an 8-year period.
- Comprehensive chart review of each patient's hospital course.
Main Results:
- Elevated white blood cell count (≥ 12) was significantly associated with a longer hospital stay (9.1 vs. 5.4 days).
- Vancomycin was empirically used in 97.1% of patients, despite only 20% having MRSA-positive cultures.
- High initial vancomycin trough levels (> 20) correlated with increased length of stay and elevated creatinine levels.
Conclusions:
- The incidence of MRSA hand infections may vary significantly between institutions.
- Hospitals should conduct internal data reviews to tailor hand infection treatment protocols.
- Optimizing treatment based on local data can improve patient care and reduce healthcare costs.
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