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Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)

BACKGROUND: Embolic events are a major cause of morbidity and mortality in patients with infective endocarditis. We analyzed the database of the prospective cohort study SEI in order to identify factors associated with the occurrence of embolic events and to develop a scoring system for the assessme...

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Autores principales: Rizzi, Marco, Ravasio, Veronica, Carobbio, Alessandra, Mattucci, Irene, Crapis, Massimo, Stellini, Roberto, Pasticci, Maria Bruna, Chinello, Pierangelo, Falcone, Marco, Grossi, Paolo, Barbaro, Francesco, Pan, Angelo, Viale, Pierluigi, Durante-Mangoni, Emanuele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101861/
https://www.ncbi.nlm.nih.gov/pubmed/24779617
http://dx.doi.org/10.1186/1471-2334-14-230
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author Rizzi, Marco
Ravasio, Veronica
Carobbio, Alessandra
Mattucci, Irene
Crapis, Massimo
Stellini, Roberto
Pasticci, Maria Bruna
Chinello, Pierangelo
Falcone, Marco
Grossi, Paolo
Barbaro, Francesco
Pan, Angelo
Viale, Pierluigi
Durante-Mangoni, Emanuele
author_facet Rizzi, Marco
Ravasio, Veronica
Carobbio, Alessandra
Mattucci, Irene
Crapis, Massimo
Stellini, Roberto
Pasticci, Maria Bruna
Chinello, Pierangelo
Falcone, Marco
Grossi, Paolo
Barbaro, Francesco
Pan, Angelo
Viale, Pierluigi
Durante-Mangoni, Emanuele
author_sort Rizzi, Marco
collection PubMed
description BACKGROUND: Embolic events are a major cause of morbidity and mortality in patients with infective endocarditis. We analyzed the database of the prospective cohort study SEI in order to identify factors associated with the occurrence of embolic events and to develop a scoring system for the assessment of the risk of embolism. METHODS: We retrospectively analyzed 1456 episodes of infective endocarditis from the multicenter study SEI. Predictors of embolism were identified. Risk factors identified at multivariate analysis as predictive of embolism in left-sided endocarditis, were used for the development of a risk score: 1 point was assigned to each risk factor (total risk score range: minimum 0 points; maximum 2 points). Three categories were defined by the score: low (0 points), intermediate (1 point), or high risk (2 points); the probability of embolic events per risk category was calculated for each day on treatment (day 0 through day 30). RESULTS: There were 499 episodes of infective endocarditis (34%) that were complicated by ≥ 1 embolic event. Most embolic events occurred early in the clinical course (first week of therapy: 15.5 episodes per 1000 patient days; second week: 3.7 episodes per 1000 patient days). In the total cohort, the factors associated with the occurrence of embolism at multivariate analysis were prosthetic valve localization (odds ratio, 1.84), right-sided endocarditis (odds ratio, 3.93), Staphylococcus aureus etiology (odds ratio, 2.23) and vegetation size ≥ 13 mm (odds ratio, 1.86). In left-sided endocarditis, Staphylococcus aureus etiology (odds ratio, 2.1) and vegetation size ≥ 13 mm (odds ratio, 2.1) were independently associated with embolic events; the 30-day cumulative incidence of embolism varied with risk score category (low risk, 12%; intermediate risk, 25%; high risk, 38%; p < 0.001). CONCLUSIONS: Staphylococcus aureus etiology and vegetation size are associated with an increased risk of embolism. In left-sided endocarditis, a simple scoring system, which combines etiology and vegetation size with time on antimicrobials, might contribute to a better assessment of the risk of embolism, and to a more individualized analysis of indications and contraindications for early surgery.
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spelling pubmed-41018612014-07-18 Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI) Rizzi, Marco Ravasio, Veronica Carobbio, Alessandra Mattucci, Irene Crapis, Massimo Stellini, Roberto Pasticci, Maria Bruna Chinello, Pierangelo Falcone, Marco Grossi, Paolo Barbaro, Francesco Pan, Angelo Viale, Pierluigi Durante-Mangoni, Emanuele BMC Infect Dis Research Article BACKGROUND: Embolic events are a major cause of morbidity and mortality in patients with infective endocarditis. We analyzed the database of the prospective cohort study SEI in order to identify factors associated with the occurrence of embolic events and to develop a scoring system for the assessment of the risk of embolism. METHODS: We retrospectively analyzed 1456 episodes of infective endocarditis from the multicenter study SEI. Predictors of embolism were identified. Risk factors identified at multivariate analysis as predictive of embolism in left-sided endocarditis, were used for the development of a risk score: 1 point was assigned to each risk factor (total risk score range: minimum 0 points; maximum 2 points). Three categories were defined by the score: low (0 points), intermediate (1 point), or high risk (2 points); the probability of embolic events per risk category was calculated for each day on treatment (day 0 through day 30). RESULTS: There were 499 episodes of infective endocarditis (34%) that were complicated by ≥ 1 embolic event. Most embolic events occurred early in the clinical course (first week of therapy: 15.5 episodes per 1000 patient days; second week: 3.7 episodes per 1000 patient days). In the total cohort, the factors associated with the occurrence of embolism at multivariate analysis were prosthetic valve localization (odds ratio, 1.84), right-sided endocarditis (odds ratio, 3.93), Staphylococcus aureus etiology (odds ratio, 2.23) and vegetation size ≥ 13 mm (odds ratio, 1.86). In left-sided endocarditis, Staphylococcus aureus etiology (odds ratio, 2.1) and vegetation size ≥ 13 mm (odds ratio, 2.1) were independently associated with embolic events; the 30-day cumulative incidence of embolism varied with risk score category (low risk, 12%; intermediate risk, 25%; high risk, 38%; p < 0.001). CONCLUSIONS: Staphylococcus aureus etiology and vegetation size are associated with an increased risk of embolism. In left-sided endocarditis, a simple scoring system, which combines etiology and vegetation size with time on antimicrobials, might contribute to a better assessment of the risk of embolism, and to a more individualized analysis of indications and contraindications for early surgery. BioMed Central 2014-04-29 /pmc/articles/PMC4101861/ /pubmed/24779617 http://dx.doi.org/10.1186/1471-2334-14-230 Text en Copyright © 2014 Rizzi et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rizzi, Marco
Ravasio, Veronica
Carobbio, Alessandra
Mattucci, Irene
Crapis, Massimo
Stellini, Roberto
Pasticci, Maria Bruna
Chinello, Pierangelo
Falcone, Marco
Grossi, Paolo
Barbaro, Francesco
Pan, Angelo
Viale, Pierluigi
Durante-Mangoni, Emanuele
Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)
title Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)
title_full Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)
title_fullStr Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)
title_full_unstemmed Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)
title_short Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)
title_sort predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the italian study on endocarditis (sei)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101861/
https://www.ncbi.nlm.nih.gov/pubmed/24779617
http://dx.doi.org/10.1186/1471-2334-14-230
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