作者
David H Birnie, Jia Wang, Marco Alings, François Philippon, Ratika Parkash, Jaimie Manlucu, Paul Angaran, Claus Rinne, Benoit Coutu, R Aaron Low, Vidal Essebag, Carlos Morillo, Damian Redfearn, Satish Toal, Giuliano Becker, Michel Degrâce, Bernard Thibault, Eugene Crystal, Stanley Tung, John LeMaitre, Omar Sultan, Matthew Bennett, Jamil Bashir, Felix Ayala-Paredes, Philippe Gervais, Leon Rioux, Martin EW Hemels, Leon HR Bouwels, Derek V Exner, Paul Dorian, Stuart J Connolly, Yves Longtin, Andrew D Krahn
发表日期
2019/12/10
期刊
Journal of the American College of Cardiology
卷号
74
期号
23
页码范围
2845-2854
出版商
American College of Cardiology Foundation
简介
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 …
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DH Birnie, J Wang, M Alings, F Philippon, R Parkash… - Journal of the American College of Cardiology, 2019