The need for a specific risk prediction system in native valve infective endocarditis surgery

Area of Science:

• Cardiology
• Cardiac Surgery
• Infectious Diseases

Background:

• A specific risk score system for infective endocarditis (IE) surgery is needed.
• Generic risk scores may not adequately capture IE-specific mortality factors.
• Previous studies have highlighted the need for disease-specific stratification.

Purpose of the Study:

• To develop and validate a pilot risk score for early postoperative mortality in patients undergoing infective endocarditis surgery.
• To identify independent predictors of mortality in native valve IE patients.
• To create a feasible and IE-specific risk stratification model.

Main Methods:

• Bivariate and multivariate logistic regression analysis of 440 native valve IE patients.
• Identification and scoring of independent predictors of early postoperative mortality.
• Development of risk classes based on assigned predictor scores (AUC of ROC curve: 0.88).

Main Results:

• Six independent predictors of mortality were identified: age, renal failure, NYHA class IV, critical preoperative state, lack of preoperative blood culture negativity, and perivalvular involvement.
• A risk score system was developed, assigning points to each predictor.
• Four risk classes were established, ranging from "very low risk" (≤5 points, 1% mortality) to "very high risk" (≥20 points, 43% mortality).

Conclusions:

• IE-specific risk stratification models are necessary due to the influence of both disease-specific and generic factors on mortality.
• The developed pilot risk score demonstrates feasibility and need for IE-specific risk stratification.
• This study provides a foundation for future multicenter development and validation of the IE risk score.