Risk prediction model for distinguishing Gram-positive from Gram-negative bacteremia based on age and cytokine levels: A retrospective study

Figure 1 Identification of variables distinguishing Gram-positive from Gram-negative infection using least absolute shrinkage and selection operator regression analysis. A: Least absolute shrinkage and selection operator regression coefficient curves of 57 variables for the log(λ) sequence. Ten-fold cross-validation was used to obtain the three variables with non-zero coefficients for the optimal parameter (λ): age, interleukin 6 and aspartate aminotransferase; B: The optimal parameter (λ) in the least absolute shrinkage and selection operator model was selected by ten-fold cross-validation and then used to yield the relationship between the partial binomial deviation curve and log(λ). The dashed vertical lines were delineated at the optimal value using the lowest standard error and 1-standard error.