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Evaluation of parameters predicting in-hospital mortality and septic embolisms in patients with infective
Tuba Tatlı Kış1, Mehmet Kış2, Tuncay Güzel3
1Department of Infectious Diseases and Clinical Microbiology, Health Sciences University, Izmir Suat Seren Chest Diseases and Surgery Training and Research Hospital, Izmir, Turkey.
Insights
Predictive factors for septic embolism and mortality in infective endocarditis (IE) include vegetation size, high D-dimer, and low serum albumin. Identifying these can improve outcomes for IE patients.
Area of Science:
- Cardiology
- Infectious Diseases
- Critical Care Medicine
Background:
- Infective endocarditis (IE) is a serious cardiac infection with increasing incidence due to medical device use.
- High morbidity and mortality rates persist despite modern treatments, with septic embolism being a major complication.
Purpose of the Study:
- To identify predictive parameters for in-hospital mortality and septic embolism in patients diagnosed with infective endocarditis.
- To enhance clinical decision-making and patient outcomes in IE management.
Main Methods:
- Retrospective cohort study involving 64 patients with infective endocarditis.
- Patients were categorized based on septic embolism or mortality.
- Multivariable regression and ROC analysis were employed to identify significant predictors.
Main Results:
- Vegetation size, aortic and mitral valve vegetation, serum albumin, and D-dimer levels were identified as independent predictors.
- Specifically, larger vegetation size and elevated D-dimer correlated with increased risk.
- Lower serum albumin levels were associated with higher mortality and embolism risk.
Conclusions:
- Vegetation size, elevated D-dimer levels, and low serum albumin are significant predictors of in-hospital mortality and septic embolism in IE patients.
- These findings can aid in risk stratification and early intervention strategies for infective endocarditis.
Introduction:
Infective endocarditis (IE) is the infection of the cardiac endothelium and heart valves. The incidence of IE has recently increased due to the widespread use of cardiac device therapies and prosthetic heart valves. Despite modern medical and surgical treatment methods, morbidity and mortality are still high, and it leads to serious complications. Evaluation of predictive factors leading to septic embolism, which is one of the most important complications in terms of mortality and morbidity, is important for improving outcomes in infective endocarditis.
Aim:
In this study, we aimed to determine the predictive parameters of in-hospital mortality and septic embolism in patients with IE.
Material And Methods:
This was a retrospective cohort study. The patients were divided into two groups: group 1 (septic embolism or mortality +, 21 patients) and group 2 (septic embolism or mortality -, 43 patients). ROC analysis was performed to determine the cut-off value of the predictive parameters. Univariable and multivariable regression analysis was performed to identify parameters significantly associated with in-hospital mortality/septic embolism in infective endocarditis.
Results:
A total of 64 patients diagnosed with IE were included in the study. In the multivariable regression analysis, the parameters vegetation size (OR = 1.227; 95% CI: 1.019-1.477, p = 0.031), aortic valve vegetation (OR = 0.088; 95% CI: 0.009-0.820, p = 0.033), mitral valve vegetation (OR = 0.082; 95% CI: 0.009-0.760, p = 0.028), albumin (OR = 0.185; 95% CI: 0.039-0.889, p = 0.035) and D-dimer (OR = 1.004; 95% CI: 1.000-1.009, p = 0.045) were found to be independent predictors for septic embolism and mortality in IE patients.
Conclusions:
Vegetation size, high D-dimer and low serum albumin levels are predictors of in-hospital mortality and septic embolism in patients with IE.
Related Concept Videos
Endocarditis I: Introduction
Endocarditis II: Clinical Features of Infective Endocarditis
Endocarditis III: Medical Management
Endocarditis IV: Nursing Management
Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies
Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care

