The DPC score for kidney transplant recipients was developed using retrospective data from 669 solid organ transplant (kidney) recipients. The external validation cohort comprised a total of 542 recipients.
The DPC score is a clinical risk assessment tool developed using a machine learning algorithm. It is a useful tool for predicting the probability of parathyroidectomy (due to tertiary hyperparathyroidism) in patients who have undergone renal transplant surgery.
How is it estimated?
It is a simple integer-based score that requires the following data points to be assessed prior to renal transplant. The clinical parameters should be measured at the time of admission for a kidney transplant.
- Duration of dialysis in months
- Serum intact PTH in pg/mL
- Serum calcium (albumin-corrected)
Dialysis period in months
| Value | D Score |
| <55 | 0 |
| 55-84 | 3 |
| ≥85 | 4 |
Serum intact PTH in pg/mL
| Value | P Score |
| <160 | 0 |
| 160-299 | 2 |
| 300-519 | 3 |
| 520-719 | 4 |
| ≥720 | 5 |
Serum calcium (albumin-corrected)
| Value | C Score |
| <8.0 | 0 |
| 8.0-8.9 | 1 |
| 9.0-9.9 | 4 |
| ≥10.0 | 6 |
High risk in serial measurement was defined as DPC score ≥13 at two or more time points with at least a 3-month interval during 12 months prior to kidney transplantation.
Reference
Namki Hong, Juhan Lee, Hyung Woo Kim, Jong Ju Jeong, Kyu Ha Huh and Yumie Rhee
