A Roadmap for Reducing Cardiac Device Infections: a Review of Epidemiology, Pathogenesis, and Actionable Risk Factors to Guide the Development of an Infection Prevention Program for the Electrophysiology Laboratory

Development and Validation of a Semi-Automated Surveillance Algorithm for Cardiac Device Infections: Insights from the VA CART program

Procedure-related cardiac electronic implantable device (CIED) infections have high morbidity and mortality, highlighting the urgent need for infection prevention efforts to include electrophysiology procedures. We developed and validated a semi-automated algorithm based on structured electronic health records data to reliably identify CIED infections. A sample of CIED procedures entered into the Veterans' Health Administration Clinical Assessment Reporting and Tracking program from FY 2008-2015 was reviewed for the presence of CIED infection. This sample was then randomly divided into training (2/3) validation sets (1/3). The training set was used to develop a detection algorithm containing structured variables mapped from the clinical pathways of CIED infection. Performance of this algorithm was evaluated using the validation set. 2,107 unique CIED procedures from a cohort of 5,753 underwent manual review; 97 CIED infections (4.6%) were identified. Variables strongly associated with true infections included presence of a microbiology order, billing codes for surgical site infections and post-procedural antibiotic prescriptions. The combined algorithm to detect infection demonstrated high c-statistic (0.95; 95% confidence interval: 0.92-0.98), sensitivity (87.9%) and specificity (90.3%) in the validation data. Structured variables derived from clinical pathways can guide development of a semi-automated detection tool to surveil for CIED infection.

Cardiac implantable electronic device infection in the cardiac referral center in Thailand: incidence, microbiology, risk factors, and outcomes

BACKGROUND

Despite the long experience of cardiac implantable electronic device (CIED) implantation in Thailand, epidemiology of CIED infection in Thailand has never been studied.

METHODS

A retrospective cohort study was conducted at the cardiac referral center in Thailand to investigate incidence of CIED infection and causative organisms between October 2002 and December 2017. A matched case-control study was performed to determine the factors associated with CIED infection.

RESULTS

Incidence of CIED infection was 0.9% with a stable trend during the studied period. There were 54 episodes of CIED infection. The median (interquartile range) age of the patients was 67.5 (53.0-75.0) years. A total of 29 (53.7%), 18 (33.3%), and 7 (13.0%) were permanent pacemaker, automatic implantable cardioverter-defibrillator, and cardio-resynchronization therapy-related infection, respectively. Gram-positive cocci were the most common organism (24 episodes, 44.4%). Gram-negative bacilli were isolated in six episodes (11.1%). About 9.3% were polymicrobial and 35.2% were culture negative. Multivariate analysis showed that previous CIED infection and generator revision procedure were associated with CIED infection (odds ratio [OR] 48.56, 95% confidence interval [CI] 3.72-633.62; P = 0.003 and OR 19.99, 95% CI 1.28-333.24; P = 0.033 respectively). Forty (74.1%) cases were cured. Leaving device in situ was the only factor significantly associated with poor outcome (OR 11.40, 95% CI 1.52-85.73; P = 0.018).

CONCLUSIONS

In Thailand, while CIED implantation is rising, incidence of CIED infection is stable. Microbiology of CIED infection in Thailand is similar to western countries, albeit a higher proportion of negative culture. Previous CIED infection and generator revision procedure are associated with CIED infection.