Skip to main content
. 2023 Nov 22;14:1266870. doi: 10.3389/fphar.2023.1266870

TABLE 2.

Validation of each variable using multifactorial Cox regression based on coefficients and lambda.1se values from LASSO regression on the training set.

Characteristics LASSO regression Multifactorial COX regression analyze
Coefficients λ.1se Hazard ratio 95% CI p-value
Age 0.064199506 0.024149 1.079 (1.074,1.084) <0.001
Monocyte 0.079371971 1.619 (1.314,1.995) <0.001
Neutrophil 0.061652841 1.092 (1.072,1.113) <0.001
Albumin −0.033333818 0.939 (0.926,0.953) <0.001
Potassium 0.092171986 1.339 (1.193,1.503) <0.001
Cardiovascular disease 0.453366023 1.696 (1.542,1.865) <0.001
Diabetes 0.060332001 1.213 (1.089,1.351) <0.001
Creatinine 0.001711841 1.002 (1.001,1.003) <0.001
HbA1c 0.001873895 1.059 (1.001,1.120) 0.044

Coefficients: coefficients of each variable in LASSO, regression; Lambda.1se: lambda value of the simplest model within a variance of the mean value of the minimum target parameter.