ROPAC Registry Predictive Model (ESC 2020)

ROPAC Registry Predictive Model (ESC 2020): Explanation and Clinical Context The ROPAC Registry Predictive Model, endorsed by the 2020 ESC Guidelines, provides an evidence-based estimate of 1-year mortality risk in patients with pregnancy-associated cardiovascular conditions or pre-existing heart disease. This logistic regression model incorporates patient age, NYHA functional class, left ventricular ejection fraction (LVEF), history of heart failure, presence of arrhythmia, and type of heart valve (bioprosthetic or mechanical). The linear predictor is transformed into a probability using the logistic function to give an individualized mortality risk percentage.

This tool assists clinicians in risk stratification, monitoring, and counseling, guiding management decisions during pregnancy and early postpartum period.