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ABSTRACT: 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.
SUBMITTER: Mulder T
PROVIDER: S-EPMC6536899 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Mulder Tessa T Kluytmans-van den Bergh Marjolein F Q MFQ van Mourik Maaike S M MSM Romme Jannie J Crolla Rogier M P H RMPH Bonten Marc J M MJM Kluytmans Jan A J W JAJW
Infection control and hospital epidemiology 20190314 5
<h4>Objective</h4>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.<h4>Design</h4>Retrospective cohort study (2012-2015).<h4>Setting</h4>A Dutch teaching hospital.<h4>Participants</h4>We included all consecutive patients who underwent colorectal su ...[more]