Jorge Calderón-Parra1, Enrique Sánchez-Chica2, Ángel Asensio-Vegas3, Ignacio Fernández-Lozano4, Jorge Toquero-Ramos4, Víctor Castro-Urda4, Ana Royuela-Vicente5, Antonio Ramos-Martínez2. 1. Unidad de Enfermedades Infecciosas, Servicio de Medicina Interna, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain. Electronic address: jorge050390@gmail.com. 2. Unidad de Enfermedades Infecciosas, Servicio de Medicina Interna, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain. 3. Servicio de Medicina Preventiva, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain. 4. Servicio de Cardiología, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain. 5. Unidad de Bioestadística, Instituto de Investigación Sanitaria, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain.
Abstract
INTRODUCTION AND OBJECTIVES: The use of cardiac implantable electronic devices (CIEDs) has expanded in recent years. Infection related to these devices constitutes one of the main complications and is associated with high morbidity, mortality, and financial cost. The aim of this study was to construct a predictive risk score of acquiring CIED infection. METHODS: We designed a retrospective, nested case-control study. Both cases and controls belonged to a cohort that included all patients who underwent a CIED-related procedure between January 2009 and December 2015. Cases were defined as patients with infection, and 3 infection-free controls were randomly selected from the cohort for each case included. RESULTS: During the study period, 2323 procedures were performed. A total of 33 CIED-related infections were identified. Ninety-nine patients were selected as controls. Independent risk factors were the Charlson index (OR, 1.33; 95%CI, 1.07-1.67), oral anticoagulation (OR, 3.51; 95%CI, 1.44-8.54), revision or replacement of a previous device (OR, 2.75; 95%CI, 1.12-6.71) and the presence of more than 2 leads (OR, 3.42; 95%CI, 1.25-9.37). A predictive risk score was generated and denominated CIED-AI (Charlson Index, more than 2 leads/Electrodes, Device revision/replacement, oral Anticoagulation, previous Infection). This score had an area under the receiver operating characteristic curve of 0.79 (95%CI, 0.71-0.88). CONCLUSIONS: The CIED-AI score may help to identify patients at higher risk of infection, who could be candidates for intensive preventive measures.
INTRODUCTION AND OBJECTIVES: The use of cardiac implantable electronic devices (CIEDs) has expanded in recent years. Infection related to these devices constitutes one of the main complications and is associated with high morbidity, mortality, and financial cost. The aim of this study was to construct a predictive risk score of acquiring CIED infection. METHODS: We designed a retrospective, nested case-control study. Both cases and controls belonged to a cohort that included all patients who underwent a CIED-related procedure between January 2009 and December 2015. Cases were defined as patients with infection, and 3 infection-free controls were randomly selected from the cohort for each case included. RESULTS: During the study period, 2323 procedures were performed. A total of 33 CIED-related infections were identified. Ninety-nine patients were selected as controls. Independent risk factors were the Charlson index (OR, 1.33; 95%CI, 1.07-1.67), oral anticoagulation (OR, 3.51; 95%CI, 1.44-8.54), revision or replacement of a previous device (OR, 2.75; 95%CI, 1.12-6.71) and the presence of more than 2 leads (OR, 3.42; 95%CI, 1.25-9.37). A predictive risk score was generated and denominated CIED-AI (Charlson Index, more than 2 leads/Electrodes, Device revision/replacement, oral Anticoagulation, previous Infection). This score had an area under the receiver operating characteristic curve of 0.79 (95%CI, 0.71-0.88). CONCLUSIONS: The CIED-AI score may help to identify patients at higher risk of infection, who could be candidates for intensive preventive measures.