Table 2 Clinical candidate predictors for model development with the number of coefficients to be estimated. The sum of the number of coefficients to be estimated was based on a sample size calculation for clinical prediction models
From: Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol
Nr | Variable type | Variable name | Level of measurement | Coefficients | Comments |
|---|---|---|---|---|---|
1 | Donor | Age | Continuous | 3 | Restricted cubic splines with 3 knots |
2 | Donor | Donor type (DCD, DBD) | Binary | 1 | Donation after circulatory death (DCD) or brain death (DBD) |
3 | Donor | History of diabetes | Binary | 1 | |
4 | Donor | History of hypertension | Binary | 1 | |
5 | Donor | eGFR on admission | Continuous | 1 | Estimated glomerular filtration rate |
6 | Donor | eGFR at allocation | Continuous | 1 | |
7 | Donor | Resuscitation | Binary | 1 | Donor was reanimated or not |
8 | Donor | Cause of death | Categorial | 2 | Using the 2 most common causes |
9 | Transplantation | Anti-HLA: DSA | Binary | 1 | Presence of donor-specific antibodies |
10 | Transplantation | HLA mismatches | Count | 1 | Human leukocyte antigen mismatches; number between 0 and 6 |
11 | Transplantation | Retransplantation | Binary | 1 | Whether recipient was retransplanted |
12 | Recipient | Age | Continuous | 1 | |
13 | Recipient | Cardiovascular disease | Binary | 1 | |
14 | Recipient | History of diabetes | Binary | 1 | |
15 | Recipient | BMI | Continuous | 1 | Body mass index |
16 | Recipient | Pre-transplant dialysis | Continuous | 1 | Time on dialysis |
Total: | 19 |