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An Automated Surveillance Strategy to Identify Infectious Complications After Cardiac Implantable Electronic Device
Joel C Boggan1, Arthur W Baker2, Sarah S Lewis2
1Division of Hospital Medicine ; Department of Medicine, Durham Veterans Affairs Medical Center ; Division of General Internal Medicine, Department of Medicine.
Insights
An automated tool using ICD-9 codes and microbiology data effectively surveils infectious complications after cardiac implantable electronic device (CIED) procedures, achieving high accuracy.
Area of Science:
- Medical Informatics
- Infectious Disease Surveillance
- Cardiology
Background:
- Optimal surveillance for infectious complications following cardiac implantable electronic device (CIED) procedures remains undefined.
- Developing an automated tool is crucial for improving post-procedural infection monitoring.
Purpose of the Study:
- To create and evaluate an automated surveillance tool for identifying infectious complications after CIED procedures.
- To assess the test performance characteristics of electronic queries for infection detection.
Main Methods:
- Retrospective analysis of adult patients undergoing CIED procedures from 2005-2011.
- Identification of potential infections using International Classification of Diseases, 9th revision (ICD-9) codes and microbiology data.
- Review of identified cases and calculation of test performance metrics for specific queries.
Main Results:
- Over 7000 procedures were analyzed, with 1686 showing potential infectious complications.
- Queries combining ICD-9 codes (specifically 996.61) and microbiology data demonstrated high sensitivity (~90%) and specificity (~80%).
- ICD-9 codes alone yielded poor specificity, while the estimated infection rate was 1.3%.
Conclusions:
- Electronic queries integrating ICD-9 codes and microbiologic data offer a robust method for surveillance of CIED procedure-related infections.
- This automated approach demonstrates good performance characteristics for timely and accurate infection identification.
Abstract:
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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