ArticleInternal medicine (Tokyo, Japan)2019
Prediction of Acute-phase Complications in Patients with Infectious Endocarditis.
Article in Internal medicine (Tokyo, Japan), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Mind the Gap: Inadequate Performance of Embolic Risk Scores in Infective Endocarditis.Open forum infectious diseases · 2026Article
- Risk of embolic events before and after antibiotic treatment initiation among patients with left-side infective endocarditis.Infection · 2024Article
- A Bayesian network-based approach for identifying risk factors and predicting ischemic stroke in infective endocarditis patients.Frontiers in cardiovascular medicine · 2023Article
- Infective endocarditis complicated by embolic events: Pathogenesis and predictors.Clinical cardiology · 2021Review
- How to Construct Novel Criteria for Predicting Complication with Infectious Endocarditis.Internal medicine (Tokyo, Japan) · 2020Article
- Authors' Reply: How to Construct Novel Criteria for Predicting Complication with Infectious Endocarditis.Internal medicine (Tokyo, Japan) · 2020Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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