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Table 1 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

Variables

Coef.

Exp (Coef.)

Se (Coef.)

z

Pr.(>|z|)

An episode of acute rejection

1.330

3.782

0.292

4.561

< 0.001

Blood Urea Nitrogen level

0.333

1.396

0.091

3.678

< 0.001

An episode of chronic rejection

0.759

2.136

0.274

2.774

0.006

Post-transplant Urological complication

0.551

1.735

0.258

2.136

0.033

Post-transplant nonadherence

0.495

1.640

0.242

2.046

0.041

Post-transplant delayed graft functioning

0.347

1.415

0.247

1.404

0.160

Number of post-transplant admissions

0.061

1.063

0.090

0.680

0.496

Post-transplant glomerulonephritis

0.139

1.149

0.265

0.524

0.600

Marital status

-0.523

0.592

0.225

-2.323

0.020

Post-transplant regular physical exercise

-1.341

0.262

0.294

-4.561

< 0.001