Intraoperative Hepatic Blood Inflow Can Predict Early Acute Kidney Injury following DCD Liver Transplantation: A Retrospective Observational Study
Figure 1
EAKI predictors screened in the development cohort using LASSO regression. (a) Selection of tuning parameter (λ) in the LASSO regression via 10-fold cross-validation in the development cohort. Binomial deviances from the LASSO regression’s cross-validation procedure were plotted as a function of log(λ). λ is the tuning parameter. Y-axis indicates binomial deviances. The lower x-axis indicates log(λ). Numbers along the upper x-axis represent the average number of predictors. Red dots indicate average deviance values for each model with given λ, and vertical bars through the red dots show the upper and lower values of the deviances. The vertical black lines define the optimal values of λ, where the model provides its best fits to the data. Lambda.min corresponds to the λ which minimizes mean squared error and was used for variable selection. Lambda.1se corresponds to the λ that is one standard error from the lambda.min. (b) LASSO coefficients produced by the regression analysis (in (a)). A vertical line at x-axis with log (λ) = -2.434 was generated based on the one standard error criteria in 10-fold cross-validation procedure. The 6 resulting predictors with nonzero coefficients were indicated in the plot.