Multidimensional Structural Echocardiographic Patterns and Risk Score for Prognostic Stratification in Ischemic...

Area of Science:

• Cardiology
• Echocardiography
• Medical Imaging

Background:

• Ischemic cardiomyopathy (ICM) involves complex structural remodeling not fully assessed by standard systolic metrics.
• The utility of multidimensional echocardiographic data for pre-revascularization risk stratification in ICM is not well-defined.
• Conventional echocardiography may underestimate the prognostic implications of structural changes in ICM.

Purpose of the Study:

• To investigate if multidimensional structural echocardiographic data can enhance risk stratification in patients with ICM before revascularization.
• To identify distinct structural remodeling patterns using unsupervised clustering.
• To develop and validate a structural risk score derived from principal component analysis (PCA).

Main Methods:

• Retrospective analysis of 989 ICM patients (derivation) and 482 (validation) undergoing coronary angiography and revascularization.
• Analysis of eight pre-revascularization echocardiographic structural variables.
• Unsupervised clustering for pattern identification and PCA for risk score derivation; Cox proportional hazards models for mortality association.

Main Results:

• Three distinct structural clusters with varying chamber size, function, pulmonary pressures, and mitral regurgitation were identified.
• The PCA-derived structural risk score independently predicted cardiovascular mortality in both derivation and validation cohorts.
• Structural clusters and the risk score demonstrated superior discriminative performance compared to individual echocardiographic parameters.

Conclusions:

• Multidimensional echocardiography reveals meaningful structural remodeling patterns in ICM.
• A PCA-derived structural risk score provides robust prognostic information beyond traditional measures.
• These approaches enable more precise pre-revascularization risk stratification for patients with ICM.