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Table 2 Lasso-Cox Regression Analysis results for predictors of renal graft survival

From: Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models

Variable

Coef.

Exp (Coef.)

An episode of acute rejection

1.247

3.480

An episode of chronic rejection

0.785

2.192

Post-transplant Urological complication

0.449

1.567

Post-transplant nonadherence

0.411

1.508

Blood Urea Nitrogen level

0.300

1.350

Post-transplant delayed graft functioning

0.230

1.258

Post-transplant glomerulonephritis

0.117

1.124

Number of post-transplant admissions

0.049

1.050

Marital status

-0.372

0.689

Post-transplant regular physical exercise

-1.032

0.356