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Prediction of Acute-phase Complications in Patients with Infectious Endocarditis

OBJECTIVE: Embolic events are frequent and life-threatening complications of infective endocarditis (IE). Recently, an embolic risk assessment at admission, based on the Embolic Risk (ER) French Calculator, was designed to predict the development of symptomatic emboli associated with IE. This study...

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Autores principales: Saito, Fumiya, Toyoda, Shigeru, Arikawa, Takuo, Inami, Shu, Watanabe, Ryo, Obi, Syotaro, Sakuma, Masashi, Kanaya, Tomoaki, Abe, Shichiro, Nakajima, Toshiaki, Inoue, Teruo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Society of Internal Medicine 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746645/
https://www.ncbi.nlm.nih.gov/pubmed/31118367
http://dx.doi.org/10.2169/internalmedicine.1813-18
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author Saito, Fumiya
Toyoda, Shigeru
Arikawa, Takuo
Inami, Shu
Watanabe, Ryo
Obi, Syotaro
Sakuma, Masashi
Kanaya, Tomoaki
Abe, Shichiro
Nakajima, Toshiaki
Inoue, Teruo
author_facet Saito, Fumiya
Toyoda, Shigeru
Arikawa, Takuo
Inami, Shu
Watanabe, Ryo
Obi, Syotaro
Sakuma, Masashi
Kanaya, Tomoaki
Abe, Shichiro
Nakajima, Toshiaki
Inoue, Teruo
author_sort Saito, Fumiya
collection PubMed
description OBJECTIVE: Embolic events are frequent and life-threatening complications of infective endocarditis (IE). Recently, an embolic risk assessment at admission, based on the Embolic Risk (ER) French Calculator, was designed to predict the development of symptomatic emboli associated with IE. This study aimed to validate the ER French Calculator for the prediction of in-hospital events, including embolic events. METHODS: We retrospectively analyzed the clinical features of 52 consecutive patients with left-sided IE to identify possible predictors of in-hospital events within 30 days of admission. RESULTS: New embolic events were seen in 15 patients (29%), cardiac surgery was performed in 22 patients (42%), and 1 patient (2%) died within 30 days of admission. A composite endpoint of embolic complications, cardiac surgery, or death was observed in 28 patients (54%). The cumulative incidence of new embolic events was significantly higher in the high-risk group identified by the ER French Calculator than in the low-risk group (log-rank test; p=0.0004). The incidence of the composite endpoint was higher in the high-risk group than in the low-risk group (log-rank test; p<0.0001). A multivariate Cox proportional hazards model indicated that the high-risk designation on the ER French Calculator predicted embolic events (p=0.0410) and composite events (p=0.0371) independently of other candidate predictors. CONCLUSION: The ER French Calculator may be a useful tool for predicting new in-hospital embolic events and other unfavorable in-hospital events in patients with IE.
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spelling pubmed-67466452019-09-17 Prediction of Acute-phase Complications in Patients with Infectious Endocarditis Saito, Fumiya Toyoda, Shigeru Arikawa, Takuo Inami, Shu Watanabe, Ryo Obi, Syotaro Sakuma, Masashi Kanaya, Tomoaki Abe, Shichiro Nakajima, Toshiaki Inoue, Teruo Intern Med Original Article OBJECTIVE: Embolic events are frequent and life-threatening complications of infective endocarditis (IE). Recently, an embolic risk assessment at admission, based on the Embolic Risk (ER) French Calculator, was designed to predict the development of symptomatic emboli associated with IE. This study aimed to validate the ER French Calculator for the prediction of in-hospital events, including embolic events. METHODS: We retrospectively analyzed the clinical features of 52 consecutive patients with left-sided IE to identify possible predictors of in-hospital events within 30 days of admission. RESULTS: New embolic events were seen in 15 patients (29%), cardiac surgery was performed in 22 patients (42%), and 1 patient (2%) died within 30 days of admission. A composite endpoint of embolic complications, cardiac surgery, or death was observed in 28 patients (54%). The cumulative incidence of new embolic events was significantly higher in the high-risk group identified by the ER French Calculator than in the low-risk group (log-rank test; p=0.0004). The incidence of the composite endpoint was higher in the high-risk group than in the low-risk group (log-rank test; p<0.0001). A multivariate Cox proportional hazards model indicated that the high-risk designation on the ER French Calculator predicted embolic events (p=0.0410) and composite events (p=0.0371) independently of other candidate predictors. CONCLUSION: The ER French Calculator may be a useful tool for predicting new in-hospital embolic events and other unfavorable in-hospital events in patients with IE. The Japanese Society of Internal Medicine 2019-05-22 2019-08-15 /pmc/articles/PMC6746645/ /pubmed/31118367 http://dx.doi.org/10.2169/internalmedicine.1813-18 Text en Copyright © 2019 by The Japanese Society of Internal Medicine https://creativecommons.org/licenses/by-nc-nd/4.0/ The Internal Medicine is an Open Access journal distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view the details of this license, please visit (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Saito, Fumiya
Toyoda, Shigeru
Arikawa, Takuo
Inami, Shu
Watanabe, Ryo
Obi, Syotaro
Sakuma, Masashi
Kanaya, Tomoaki
Abe, Shichiro
Nakajima, Toshiaki
Inoue, Teruo
Prediction of Acute-phase Complications in Patients with Infectious Endocarditis
title Prediction of Acute-phase Complications in Patients with Infectious Endocarditis
title_full Prediction of Acute-phase Complications in Patients with Infectious Endocarditis
title_fullStr Prediction of Acute-phase Complications in Patients with Infectious Endocarditis
title_full_unstemmed Prediction of Acute-phase Complications in Patients with Infectious Endocarditis
title_short Prediction of Acute-phase Complications in Patients with Infectious Endocarditis
title_sort prediction of acute-phase complications in patients with infectious endocarditis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746645/
https://www.ncbi.nlm.nih.gov/pubmed/31118367
http://dx.doi.org/10.2169/internalmedicine.1813-18
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