A framework to develop semiautomated surveillance of surgical site infections: An international multicenter study.

OBJECTIVE: Automated surveillance of healthcare-associated infections reduces workload and improves standardization, but it has not yet been adopted widely. In this study, we assessed the performance and feasibility of an easy implementable framework to develop algorithms for semiautomated surveillance of deep incisional and organ-space surgical site infections (SSIs) after orthopedic, cardiac, and colon surgeries. DESIGN: Retrospective cohort study in multiple countries. METHODS: European hospitals were recruited and selected based on the availability of manual SSI surveillance data from 2012 onward (reference standard) and on the ability to extract relevant data from electronic health records. A questionnaire on local manual surveillance and clinical practices was administered to participating hospitals, and the information collected was used to pre-emptively design semiautomated surveillance algorithms standardized for multiple hospitals and for center-specific application. Algorithm sensitivity, positive predictive value, and reduction of manual charts requiring review were calculated. Reasons for misclassification were explored using discrepancy analyses. RESULTS: The study included 3 hospitals, in the Netherlands, France, and Spain. Classification algorithms were developed to indicate procedures with a high probability of SSI. Components concerned microbiology, prolonged length of stay or readmission, and reinterventions. Antibiotics and radiology ordering were optional. In total, 4,770 orthopedic procedures, 5,047 cardiac procedures, and 3,906 colon procedures were analyzed. Across hospitals, standardized algorithm sensitivity ranged between 82% and 100% for orthopedic surgery, between 67% and 100% for cardiac surgery, and between 84% and 100% for colon surgery, with 72%-98% workload reduction. Center-specific algorithms had lower sensitivity. CONCLUSIONS: Using this framework, algorithms for semiautomated surveillance of SSI can be successfully developed. The high performance of standardized algorithms holds promise for large-scale standardization.

A diagnostic algorithm for the surveillance of deep surgical site infections after colorectal surgery.

OBJECTIVE: Surveillance of surgical site infections (SSIs) is important for infection control and is usually performed through retrospective manual chart review. The aim of this study was to develop an algorithm for the surveillance of deep SSIs based on clinical variables to enhance efficiency of surveillance. DESIGN: Retrospective cohort study (2012-2015). SETTING: A Dutch teaching hospital. PARTICIPANTS: We included all consecutive patients who underwent colorectal surgery excluding those with contaminated wounds at the time of surgery. All patients were evaluated for deep SSIs through manual chart review, using the Centers for Disease Control and Prevention (CDC) criteria as the reference standard. ANALYSIS: We used logistic regression modeling to identify predictors that contributed to the estimation of diagnostic probability. Bootstrapping was applied to increase generalizability, followed by assessment of statistical performance and clinical implications. RESULTS: In total, 1,606 patients were included, of whom 129 (8.0%) acquired a deep SSI. The final model included postoperative length of stay, wound class, readmission, reoperation, and 30-day mortality. The model achieved 68.7% specificity and 98.5% sensitivity and an area under the receiver operator characteristic (ROC) curve (AUC) of 0.950 (95% CI, 0.932-0.969). Positive and negative predictive values were 21.5% and 99.8%, respectively. Applying the algorithm resulted in a 63.4% reduction in the number of records requiring full manual review (from 1,606 to 590). CONCLUSIONS: This 5-parameter model identified 98.5% of patients with a deep SSI. The model can be used to develop semiautomatic surveillance of deep SSIs after colorectal surgery, which may further improve efficiency and quality of SSI surveillance.

Preoperative Oral Antibiotic Prophylaxis Reduces Surgical Site Infections After Elective Colorectal Surgery: Results From a Before-After Study.

BACKGROUND: Surgical site infections (SSIs) are common complications after colorectal procedures and remain an important source of morbidity and costs. Preoperative oral antibiotic prophylaxis is a potential infection control strategy, but its effectiveness without simultaneous use of mechanical bowel preparation (MBP) is unclear. In this study, we aimed to determine whether preoperative oral antibiotics reduce the risk of deep SSIs in elective colorectal surgery. METHODS: We performed a before-after analysis in a teaching hospital in the Netherlands. Patients who underwent surgery between January 2012 and December 2015 were included. On 1 January 2013, oral antibiotic prophylaxis with tobramycin and colistin was implemented as standard of care prior to colorectal surgery. The year before implementation was used as the control period. The primary outcome was a composite of deep SSI and/or mortality within 30 days after surgery. RESULTS: Of the 1410 patients, 352 underwent colorectal surgery in the control period and 1058 in the period after implementation of the antibiotic prophylaxis. We observed a decrease in incidence of the primary endpoint of 6.2% after prophylaxis implementation. When adjusted for confounders, the risk ratio for development of the primary outcome was 0.58 (95% confidence interval, 0.40-0.79). Other findings included a decreased risk of anastomotic leakage and a reduction in the length of postoperative stay. CONCLUSIONS: Preoperative oral antibiotic prophylaxis prior to colorectal surgery is associated with a significant decrease in SSI and/or mortality in a setting without MBP. Preoperative oral antibiotics can therefore be considered without MBP for patients who undergo colorectal surgery.

Peri-Operative Nasal Eradication Therapy Prevents Staphylococcus aureus Surgical Site Infections in Aortoiliac Surgery.

BACKGROUND: Surgical site infections (SSIs) cause considerable morbidity and deaths among patients undergoing vascular surgery. Pre-operative screening and subsequent treatment of nasal Staphylococcus aureus carriers with mupirocin and chlorhexidine reduces the risk of SSIs in cardiothoracic and orthopedic surgery. The aim of this study was to investigate the effect of this screen-and-treat strategy on the development of SSI in patients undergoing aortoiliac surgery. METHODS: A prospective study was performed that enrolled an intervention cohort comprising all patients undergoing aortoiliac surgery from February 2013 to December 2016. Before surgery, patients were screened for S. aureus nasal carriage and, if positive, were treated with mupirocin nasal ointment and chlorhexidine body washes. The presence of SSI was recorded on the basis of the criteria of the U.S. Centers for Disease Control and Prevention. A historic control group was used, consisting of aortoiliac surgery patients in 2010 who tested positive for S. aureus but received no treatment. RESULTS: A total of 374 patients in the study cohort were screened of whom 75 (20.1%) tested positive for S. aureus. Of these patients, 68 were given eradication therapy. In the 2010 cohort, 22 patients (15.7%) were positive. The incidence of S. aureus infection was 0 of 75 in the treatment group versus 3 of 22 (13.6%) in the control group (p = 0.021). Both the 30-day mortality rate (1.3% vs. 13.6%; p = 0.035) and the rate of re-interventions (12.0% vs. 31.8%) were significantly lower in the treated group. CONCLUSION: We conclude that S. aureus nasal screening and eradication with mupirocin and chlorhexidine reduces S. aureus SSI and its complications after aortoiliac surgery.

Implementation of a bundle of care to reduce surgical site infections in patients undergoing vascular surgery.

BACKGROUND: Surgical site infections (SSI's) are associated with severe morbidity, mortality and increased health care costs in vascular surgery. OBJECTIVE: To implement a bundle of care in vascular surgery and measure the effects on the overall and deep-SSI's rates. DESIGN: Prospective, quasi-experimental, cohort study. METHODS: A prospective surveillance for SSI's after vascular surgery was performed in the Amphia hospital in Breda, from 2009 through 2011. A bundle developed by the Dutch hospital patient safety program (DHPSP) was introduced in 2009. The elements of the bundle were (1) perioperative normothermia, (2) hair removal before surgery, (3) the use of perioperative antibiotic prophylaxis and (4) discipline in the operating room. Bundle compliance was measured every 3 months in a random sample of surgical procedures and this was used for feedback. RESULTS: Bundle compliance improved significantly from an average of 10% in 2009 to 60% in 2011. In total, 720 vascular procedures were performed during the study period and 75 (10.4%) SSI were observed. Deep SSI occurred in 25 (3.5%) patients. Patients with SSI's (28,5±29.3 vs 10.8±11.3, p<0.001) and deep-SSI's (48.3±39.4 vs 11.4±11.8, p<0.001) had a significantly longer length of hospital stay after surgery than patients without an infection. A significantly higher mortality was observed in patients who developed a deep SSI (Adjusted OR: 2.96, 95% confidence interval 1.32-6.63). Multivariate analysis showed a significant and independent decrease of the SSI-rate over time that paralleled the introduction of the bundle. The SSI-rate was 51% lower in 2011 compared to 2009. CONCLUSION: The implementation of the bundle was associated with improved compliance over time and a 51% reduction of the SSI-rate in vascular procedures. The bundle did not require expensive or potentially harmful interventions and is therefore an important tool to improve patient safety and reduce SSI's in patients undergoing vascular surgery.