Figure 1A, shows the variation characteristics of the coefficients of these variables in detail. Figure 1B displays the results of iterative analyses using the 10-fold cross-validation method, which identified 26 variables when the model error was minimal and 11 variables when the model error was one standard error. To make clinical application easier, the variables screened when log(λ) was one standard error, namely, diastolic blood pressure (DBP), Killip class, hyperlipidaemia, GRACE Score, CKMB, myoglobin, WBC, monocytes, TT, GLB, and CB, were ultimately selected. Here, MB is linked to hyperlipidemia.