Ueki et al reported a model for predicting cardiovascular disease in a living donor kidney transplant recipient. This can help to identify a patient who should be targeted for preventive measures. The authors are from Kyushu University, Fukuoka University, Tokyo Women's Medical University, and Nara Medical University.
Patient selection: living donor kidney transplant recipient, >= 13 years of age
Parameters:
(1) history of cardiovascular disease
(2) diabetic nephropathy
(3) age of the recipient
(4) dialysis vintage
(5) serum albumin in g/dL
(6) proteinuria
Parameter
Finding
Points
history of cardiovascular disease
absent
0
present
3
diabetic nephropathy
absent
0
present
2
age in years
< 45 years
0
>= 45 years
1
dialysis vintage
pre-emptive transplant
0
< 5 years
2
>= 5 years
5
serum albumin
>= 4 g/dL
0
< 4 g/dL
3
proteinuria
absent
0
present
3
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 17
Total Score
Risk over Observational Period (about 7 years)
0 to 3
2.5%
4 to 7
4.2%
8 to 10
15%
11 to 13
27%
14 to 17
71%
Performance:
• The area under the ROC curve is 0.88.
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