An Automated Surveillance Strategy to Identify Infectious Complications After Cardiac Implantable Electronic Device Procedures.


Background.  The optimum approach for infectious complication surveillance for cardiac implantable electronic device (CIED) procedures is unclear. We created an automated surveillance tool for infectious complications after CIED procedures. Methods.  Adults having CIED procedures between January 1, 2005 and December 31, 2011 at Duke University Hospital were identified retrospectively using International Classification of Diseases, 9th revision (ICD-9) procedure codes. Potential infections were identified with combinations of ICD-9 diagnosis codes and microbiology data for 365 days postprocedure. All microbiology-identified and a subset of ICD-9 code-identified possible cases, as well as a subset of procedures without microbiology or ICD-9 codes, were reviewed. Test performance characteristics for specific queries were calculated. Results.  Overall, 6097 patients had 7137 procedures. Of these, 1686 procedures with potential infectious complications were identified: 174 by both ICD-9 code and microbiology, 14 only by microbiology, and 1498 only by ICD-9 criteria. We reviewed 558 potential cases, including all 188 microbiology-identified cases, 250 randomly selected ICD-9 cases, and 120 with neither. Overall, 65 unique infections were identified, including 5 of 250 reviewed cases identified only by ICD-9 codes. Queries that included microbiology data and ICD-9 code 996.61 had good overall test performance, with sensitivities of approximately 90% and specificities of approximately 80%. Queries with ICD-9 codes alone had poor specificity. Extrapolation of reviewed infectious rates to nonreviewed cases yields an estimated rate of infection of 1.3%. Conclusions.  Electronic queries with combinations of ICD-9 codes and microbiologic data can be created and have good test performance characteristics for identifying likely infectious complications of CIED procedures.





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Publication Info

Boggan, JC, AW Baker, SS Lewis, KV Dicks, MJ Durkin, RW Moehring, LF Chen, LP Knelson, et al. (2015). An Automated Surveillance Strategy to Identify Infectious Complications After Cardiac Implantable Electronic Device Procedures. Open Forum Infect Dis, 2(4). p. ofv128. 10.1093/ofid/ofv128 Retrieved from

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Joel Boggan

Associate Professor of Medicine

I am a hospital medicine physician interested in quality improvement, patient safety, and medical education across the UME, GME, and CME environments. My current QI and research projects include work on readmissions, inpatient ORYX and patient experience measures, clinical documentation improvement, medication reconciliation, and appropriate utilization of inpatient resources. Alongside this work, I serve as the lead mentor for our Durham VA Chief Resident in Quality and Safety within the Department of Medicine and the Program Director for the Duke University Hospital CRQS.

As Associate Program Director for Quality Improvement and Patient Safety in the Duke Internal Medicine Residency Program, I oversee QI and safety education and projects for our residents and help co-lead our Residency Patient Safety and Quality Council. Additionally, I supervise housestaff and students on our general medicine wards, precept housestaff evidence-based medicine resident reports, and serve as a small group leader for our second-year medical student Clinical Skills Course. Finally, I lead our Innovation Sciences committee as part of the ongoing School of Medicine Curriculum Innovation Initiative.


Arthur Wakefield Baker

Associate Professor of Medicine

Sarah Stamps Lewis

Associate Professor of Medicine

Kristen V. Dicks

Associate Professor of Medicine

Rebekah Moehring

Associate Professor of Medicine

Donald Dale Hegland

Associate Professor of Medicine

Deverick John Anderson

Professor of Medicine

Hospital epidemiology, infection control, antibiotic stewardship, multidrug-resistant organisms, device-related infections, surgical site infections, catheter-associated bloodstream infections, cost of infections, infections in community hospitals

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