Infection surveillance and prevention strategies to detect and prevent postaccess breast tissue expander infections

2019 ◽  
Vol 40 (11) ◽  
pp. 1275-1277
Author(s):  
Sima L. Sharara ◽  
Heather M. Saunders ◽  
Valeria Fabre ◽  
Sara E. Cosgrove ◽  
Donna P. Fellerman ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Infection Prevention ◽  
Breast Tissue ◽  
Tissue Expander ◽  
Site Infection ◽  
Prevention Strategies ◽  
Contributing Factors ◽  
Infection Surveillance ◽  
Prevention Guidelines ◽  
Expansion Period

AbstractNo standardized surveillance criteria exist for surgical site infection after breast tissue expander (BTE) access. This report provides a framework for defining postaccess BTE infections and identifies contributing factors to infection during the expansion period. Implementing infection prevention guidelines for BTE access may reduce postaccess BTE infections.

scholarly journals Compliance and Barriers Facing Nurses with Surgical Site Infection Prevention Guidelines

2020 ◽  
Vol 10 (01) ◽  
pp. 15-33
Author(s):  
Magda M. Mohsen ◽  
Neima Ali Riad ◽  
Amina Ibrahim Badawy
Keyword(s):  
Surgical Site Infection ◽  
Infection Prevention ◽  
Site Infection ◽  
Prevention Guidelines

scholarly journals A Survey of Surgical Site Infection Prevention Strategies among U.S. Hospitals

2015 ◽  
Vol 43 (6) ◽  
pp. S53-S54
Author(s):  
Eva Notis ◽  
Jonathan Zenilman ◽  
Andrew Satin ◽  
Trish Perl ◽  
Cynthia Argani ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Infection Prevention ◽  
Site Infection ◽  
Prevention Strategies

QS255. Barriers to Compliance With Surgical Site Infection Prevention Guidelines

2008 ◽  
Vol 144 (2) ◽  
pp. 368-369 ◽  
Author(s):  
Lillian S. Kao ◽  
Matthew M. Carrick ◽  
Debbie F. Lew ◽  
Derek W. Meeks ◽  
Eric J. Thomas ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Infection Prevention ◽  
Site Infection ◽  
Prevention Guidelines

Barrier dressings in surgical site infection prevention strategies

2010 ◽  
Vol 19 (Sup10) ◽  
pp. S42-S46 ◽  
Author(s):  
Fiona Downie ◽  
Sharon Egdell ◽  
Alistair Bielby ◽  
Richard Searle
Keyword(s):  
Surgical Site Infection ◽  
Infection Prevention ◽  
Site Infection ◽  
Prevention Strategies

USE OF AN ELECTRONIC DATA WAREHOUSE TO ENHANCE CARDIAC SURGICAL SITE SURVEILLANCE AT A LARGE CANADIAN CENTRE

2008 ◽  
Vol 31 (4) ◽  
pp. 21 ◽  
Author(s):  
G W Rose ◽  
V R Roth ◽  
K N Suh ◽  
M Taljaard ◽  
C Van Walraven ◽  
...  
Keyword(s):  
Infection Control ◽  
Surgical Site Infection ◽  
Data Warehouse ◽  
Stepwise Logistic Regression ◽  
Site Infection ◽  
Electronic Data ◽  
Trigger Mechanism ◽  
Trigger Tool ◽  
Infection Surveillance ◽  
Trigger Mechanisms

Background/Purpose: Surgical site infection surveillance to determineincidence is a key infection control activity. Case detection is labour-intensive, therefore most infection control programs use manual or simple electronic mechanisms to “trigger” chart review. However, such “trigger” mechanisms are also labour-intensive, and often of poor specificity. Our objective is to develop a complex trigger mechanism using data from an electronic data warehouse, to improve specificity of surveillance of surgical site infection compared to current trigger mechanisms. Methods: We will derive an electronic trigger tool for cardiac surgical site infection surveillance using a nested case-control design, among a cohort of all patients undergoing coronary artery bypass grafting, cardiac valve repairor replacement, or heart transplant at the University of Ottawa Heart Institute, from July 1 2004 to June 30 2007. We will perform a systematic literature review to identify potential trigger factors to include in the model, then construct the trigger tool by backwards stepwise logistic regression. The best-fit model will be used to calculate the probability of surgical site infection. We will select the threshold probability to use in surveillance by visual inspection of receiver-operator-characteristic curves. The accuracy of this electronic trigger mechanism will be compared to pre-existing manual and simple electronic mechanisms using relative true positive ratios and relative false positive ratios. Results/Conclusions: We have selected 200 cases of surgical site infection and 541 controls from among 3744 procedures performed during the study period. As of the date ofthis abstract we are still undertaking the systematic review.

scholarly journals Cerebrospinal Fluid Shunt-Associated Surgical Site Infection With Three- Versus Twelve-Month Follow-Up in Canadian Hospitals

2020 ◽  
Vol 41 (S1) ◽  
pp. s157-s157
Author(s):  
Kelly Baekyung Choi ◽  
John Conly ◽  
Blanda Chow ◽  
Joanne Embree ◽  
Bonita Lee ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Age Distribution ◽  
Patient Characteristics ◽  
Csf Shunt ◽  
Surveillance Program ◽  
Site Infection ◽  
Infection Surveillance ◽  
Surgical Manipulation ◽  
National Systems

Background: Surgical site infection (SSI) after cerebrospinal fluids (CSF) shunt surgery is thought to be acquired intraoperatively. Biomaterial-associated infection can present up to 1 year after surgery, but many national systems have shortened follow-up to 90 days. We compared 3- versus 12-month follow-up periods to determine the nature of case ascertainment in the 2 periods. Methods: Participants of any age with placement of an internal CSF shunt or revision surgical manipulation of an existing internal shunt identified in the Canadian Nosocomial Infection Surveillance Program (CNISP) participating hospitals between 2006 and 2018 were eligible. We excluded patients with external shunting devices or culture-positive CSF at the time of surgery. Patients were followed for 12 months after surgery for the primary outcome of a CSF infection with a positive CSF culture by review of laboratory and health records. Patients were categorized as adult (aged ≥18 years) or pediatric (aged < 18 years). The infection rate was expressed as the number of CSF shunt-associated infections divided by the number of shunt surgeries per 100 procedures. Results: In total, 325 patients (53% female) met inclusion criteria in 14 hospitals from 7 provinces were identified. Overall, 46.1% of surgeries were shunt revisions and 90.3% of shunts were ventriculoperitoneal. For pediatric patients, the median age was 0.7 years (IQR, 0.2–7.0). For adult patients, the median age was 47.9 years (IQR, 29.6–64.6). The SSI rates per 100 procedures were 3.69 for adults and 3.65 for pediatrics. The overall SSI rates per 100 procedures at 3 and 12 months were 2.74 (n = 265) and 3.48 (n = 323), respectively. By 3 months (90 days), 82% of infection cases were identified (Fig. 1). The median time from procedure to SSI detection was 30 days (IQR, 10–65). No difference was found in the microbiology of the shunt infections at 3- and 12-month follow-ups. The most common pathogens were coagulase-negative Staphylococcus (43.6 %), followed by S. aureus (24.8 %) and Propionibacterium spp (6.5 %). No differences in age distribution, gender, surgery type (new or revision), shunt type, or infecting organisms were observed when 3- and 12-month periods were compared. Conclusions: CSF-SSI surveillance for 3 versus 12 months would capture 82.0% (95% CI, 77.5–86.0) of cases, with no significant differences in the patient characteristics, surgery types, or pathogens. A 3-month follow-up can reduce resources and allow for more timely reporting of infection rates.Funding: NoneDisclosures: None

scholarly journals 890. Incidence and Microbiology of Surgical Site Infection (SSI) after Breast Surgery

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S479-S479
Author(s):  
Farah Tanveer ◽  
Dima Youssef ◽  
Mamta Youssef ◽  
Susanna Szpunar ◽  
Michelle Flood
Keyword(s):  
Surgical Site Infection ◽  
Breast Surgery ◽  
Tissue Expander ◽  
Empiric Therapy ◽  
Site Infection ◽  
Gram Positive ◽  
Historical Cohort ◽  
Gram Negative ◽  
Tissue Expanders ◽  
Student’S T

Abstract Background Surgical site infection (SSI) after breast surgery is much more common than expected after a clean surgical procedure. Although breast SSIs are primarily Gram-positive; recent literature shows an increase in Gram-negative infections. We assessed the risk factors and microbiology of SSI following breast surgery at our institution. Methods We conducted a historical cohort study of all (³ 18 y) females who had surgery from 1/1/2014-3/31/2019 and subsequent SSI within 90 days of the procedure. Two controls, matched for surgery type, were selected per case. Data were collected on demographic and clinical characteristics, surgery type, microbiology and antibiotics. Data were analyzed using the χ 2 test, Student’s t-test and multivariable logistic regression with a forward likelihood ratio algorithm. Results After excluding patients with limited data, we reviewed 284 charts: 95 of 132 cases and 189 controls. The 90-day incidence of SSI was 3.5 % (132/3755). Cases were younger than controls: 53.9 ± 12.4 years vs. 58.3± 13.7 years, respectively, p=0.02. Controls had more comorbidities: 1.8 ± 1.3 vs. 1.4 ± 0.7,respectively, p=0.001. Tissue expanders were placed in 65 (70%) cases versus 11 (5.8%) controls (p &lt; 0.0001). After controlling for age, BMI, comorbidities and post-operative antibiotics, only tissue expanders were associated with infection (OR=35.1, p&lt; 0.0001, 95% CI: 16.6, 74.0). Microbiological data were available for 84 cases. Gram-positive organisms accounted for 45 (53.6%) infections and Gram-negative organisms accounted for 39 (46.4%) infections. Over 72% of African Americans (p= 0.014), 76.5% of patients with diabetes (p=0.005) and 57.1 % with tissue expanders (p= 0.02) had Gram-negative infections. The table shows the multivariable predictors of Gram-negative infection. Tissue expander removal was required in 61.5% of patients with Gram-negative infections compared to 39% with Gram-positive infections. Predictors of Gram-negative SSI after breast surgery Conclusion Patients with tissue expanders had a higher incidence of SSI after breast surgery; removal was often required in Gram-negative infections. Diabetes and post-operative antibiotics were significant predictors of Gram-negative infection. Knowledge of local epidemiology is a key factor in deciding empiric therapy for SSI. Disclosures All Authors: No reported disclosures

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