Top two principal component eigenvalues and contribution rates for functional and structural indices.

Principal component analysis was employed to extract a single weighted multi-marker index of cardiac function from 9 individual indices of cardiac function. The top two principal components (PC1 and PC2) were identified accounting for 54.70% of the explained variance. Meanwhile, a single weighted multi-marker index of cardiac structure was extracted from 15 individual indices. The top two PCs (PC1 and PC2) accounted for 40.57% of the explained variance and no additional significant principal components were identified.Top two principal component eigenvalues and contribution rates for functional and structural indices.