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Reducing Surgical Site Infections With Silver Impregnated Dressings in Lower Extremity Bypass Patients
Pooja T Desai1, Ashar Ata1, Sandra R DiBrito1
1Department of Surgery, Albany Medical Center, Albany, New York.
The Journal of Surgical Research
|January 22, 2025
Summary
Silver impregnated dressings significantly reduced superficial surgical site infections (SSIs) in lower extremity bypass surgery patients. This low-risk intervention shows promise for improving outcomes and warrants further investigation.
Area of Science:
- Vascular Surgery
- Infectious Disease Prevention
- Wound Care
Background:
- Surgical site infections (SSIs) after lower extremity (LE) bypass surgery increase costs and morbidity.
- National SSI rates for LE bypass are high, with institutional rates exceeding national averages.
- Silver-impregnated dressings are used in other specialties to reduce SSIs.
Purpose of the Study:
- To evaluate the impact of transitioning to silver-impregnated dressings on SSI rates in LE bypass surgery.
- To compare SSI rates between patients treated with dry sterile dressings (DSD) and silver-impregnated dressings.
Main Methods:
- Retrospective study of two consecutive LE bypass patient cohorts (2019 DSD, 2020 silver dressings).
- Utilized National Surgical Quality Improvement Program (NSQIP) data and criteria for SSI determination within 30 days.
- Compared SSI rates using Fischer's exact and chi-squared tests.
Main Results:
- A total of 282 patients were analyzed; 168 in the DSD group and 114 in the silver dressing group.
- Superficial SSI rates decreased significantly from 20.8% with DSD to 9.6% with silver dressings (P=0.014).
- No significant differences were observed in deep SSIs, wound dehiscence, readmission, or return to the OR.
Conclusions:
- Silver-impregnated dressings are associated with a statistically significant reduction in superficial SSIs after open LE bypass.
- This intervention is inexpensive and low-risk, suggesting a potential change in clinical practice.
- Further prospective studies are recommended to confirm causality and optimize patient outcomes.
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