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Published on: June 4, 2012
Risk prediction in infective endocarditis by modified MELD-XI score
Peng-Cheng He1,2, Xue-Biao Wei1, Si-Ni Luo1
1Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong General Hospital, Guangdong Academic of Medical Sciences, Guangzhou, 510080, China.
The Model for End-Stage Liver Disease excluding International Normalized Ratio (MELD-XI) score predicts adverse outcomes in infective endocarditis (IE) patients. A modified MELD-XI score offers improved prediction of mortality and adverse events in IE.
Area of Science:
- Cardiology
- Hepatology
- Infectious Diseases
Background:
- The prognostic value of the Model for End-Stage Liver Disease excluding International Normalized Ratio (MELD-XI) score in infective endocarditis (IE) patients is not well-established.
- Accurate risk stratification is crucial for managing IE patients and predicting adverse outcomes.
Purpose of the Study:
- To evaluate the prognostic capability of the MELD-XI score for predicting adverse outcomes in IE patients.
- To develop and validate a modified MELD-XI score for enhanced prediction of mortality and major adverse clinical events in IE.
Main Methods:
- A cohort of 858 IE patients was analyzed.
- Patients were stratified based on MELD-XI score (≤10 vs. >10).
- Multivariate analysis identified independent risk factors, and a modified MELD-XI score was developed by incorporating NYHA class, C-reactive protein levels, and treatment strategy.
Main Results:
- Higher MELD-XI scores were significantly associated with increased in-hospital mortality and major adverse clinical events.
- The MELD-XI score independently predicted in-hospital death (OR=1.06).
- The modified MELD-XI score demonstrated superior predictive power (AUC 0.823 vs. 0.701) and was independently associated with long-term mortality (HR=1.08).
Conclusions:
- The MELD-XI score serves as a valuable tool for risk assessment in IE patients.
- The modified MELD-XI score provides a simple yet more effective approach for predicting poor prognosis in IE, including long-term mortality.
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