Pyroptosis Patterns Are Involved in Immune Microenvironment Regulation of Dilated Cardiomyopathy

Figure 2

PRGs can be used to classify normal and DCM samples. (a) Univariate logistic regression was used to study the correlation between PRGs and DCM () and uncovered 21 DCM-related PRGs. (b) LASSO coefficient distribution of 21 DCM-related RGs. (c) In LASSO regression, 10-fold cross-validation was used to fine-tune parameter selection. is the adjustment parameter, and the partial likelihood deviance is plotted according to log (). (d) Through multivariate logistic regression, a distinguishing feature with 12 PRGs was developed, and the risk scores of DCM and healthy samples were estimated. (e) The risk profile between DCM and healthy samples illustrates that the risk score of DCM was higher than that of healthy samples. (f) ROC curves were used to analyse the ability of 12 PRGs to distinguish between healthy and DCM samples, and the AUC value was used to evaluate the distinction ability.

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