Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Clinical Trial
. 2019 Dec 10;74(23):2845-2854.
doi: 10.1016/j.jacc.2019.09.060.

Risk Factors for Infections Involving Cardiac Implanted Electronic Devices

Affiliations
Free article
Clinical Trial

Risk Factors for Infections Involving Cardiac Implanted Electronic Devices

David H Birnie et al. J Am Coll Cardiol. .
Free article

Erratum in

  • Correction.
    [No authors listed] [No authors listed] J Am Coll Cardiol. 2020 Feb 25;75(7):840-841. doi: 10.1016/j.jacc.2020.01.003. Epub 2020 Jan 11. J Am Coll Cardiol. 2020. PMID: 32081293 No abstract available.
  • Correction.
    [No authors listed] [No authors listed] J Am Coll Cardiol. 2020 Aug 11;76(6):762. doi: 10.1016/j.jacc.2020.06.001. J Am Coll Cardiol. 2020. PMID: 32762915 No abstract available.

Abstract

Background: Cardiac implantable electronic device infection is a major complication that usually requires device removal. PADIT (Prevention of Arrhythmia Device Infection Trial) was a large cluster crossover trial of conventional versus incremental antibiotics.

Objectives: This study sought to investigate independent predictors of device infection in PADIT and develop a novel infection risk score.

Methods: In brief, over 4 6-month periods, 28 centers used either conventional or incremental prophylactic antibiotic treatment in all patients. The primary outcome was hospitalization for device infection within 1 year (blinded endpoint adjudication). Multivariable logistic prediction modeling was used to identify the independent predictors and develop a risk score for device infection. The prediction models were internally validated with bootstrap methods.

Results: Device procedures were performed in 19,603 patients, and hospitalization for infection occurred in 177 (0.90%) within 1 year of follow-up. The final prediction model identified 5 independent predictors of device infection (prior procedures [P], age [A], depressed renal function [D], immunocompromised [I], and procedure type [T]) with an optimism-corrected C-statistic of 0.704 (95% confidence interval: 0.660 to 0.744). A PADIT risk score ranging from 0 to 15 points classified patients into low (0 to 4), intermediate (5 to 6) and high (≥7) risk groups with rates of hospitalization for infection of 0.51%, 1.42%, and 3.41%, respectively.

Conclusions: This study identified 5 independent predictors of device infection and developed a novel infection risk score in the largest cardiac implantable electronic device trial to date, warranting validation in an independent cohort. The 5 independent predictors in the PADIT score are readily adopted into clinical practice. (Prevention of Arrhythmia Device Infection Trial [PADIT Pilot]; NCT01002911).

Keywords: antibiotics; cardiac implantable electronic device; implantable cardioverter defibrillator; infection; pacemaker.

PubMed Disclaimer

Comment in

Publication types

Associated data