Chien et al developed models for predicting the risk of chronic kidney disease (CKD) in a Chinese patient. One of these included laboratory values. The authors are from National Taiwan University and Chinese Medical University Hospital in Taiwan.
Patient selection: Chinese adult
Parameters:
(1) age in years
(2) diastolic blood pressure
(3) history of stroke
(4) serum uric acid in mg/dL
(5) postprandial glucose in mg/dL
(6) hemoglobin A1c in percent
(7) urine protein in mg/dL
|
Parameter |
Finding |
Points |
|
age in years |
< 45 years of age |
0 |
|
|
45 to 54.99 years |
3 |
|
|
55 to 64.99 years |
5 |
|
|
>= 65 years of age |
8 |
|
diastolic blood pressure |
< 66 mm Hg |
0 |
|
|
>= 66 mm Hg |
1 |
|
history of stroke |
no |
0 |
|
|
yes |
4 |
|
serum uric acid |
< 5.0 mg/dL |
0 |
|
|
5.0 to 6.9 mg/dL |
1 |
|
|
>= 7.0 mg/dL |
2 |
|
postprandial glucose |
< 130 mg/dL |
0 |
|
|
>= 130 mg/dL |
1 |
|
hemoglobin A1c |
< 5.7% |
0 |
|
|
>= 5.7% |
1 |
|
urine protein |
< 100 mg/dL |
0 |
|
|
>= 100 mg/dL |
6 |
total score =
= SUM(points for all 7 parameters)
Interpretation:
• minimum score: 0
• maximum score: 23
• The higher the score the greater the risk for chronic kidney disease (CKD).
• A score >= 6 indicates an increased risk for CKD.
|
Score |
Risk CKD |
|
0 |
1% |
|
1 or 2 |
2% |
|
3 |
3% |
|
4 |
4% |
|
5 |
6% |
|
6 |
8% |
|
7 |
11% |
|
8 |
14% |
|
9 |
19% |
|
10 |
25% |
|
11 |
32% |
|
12 |
40% |
|
13 |
50% |
|
14 |
61% |
|
15 |
72% |
|
16 |
82% |
|
17 |
90% |
|
18 |
96% |
|
19 |
99% |
|
20 to 23 |
100% |
Performance:
• The sensitivity with a cutoff >= 6 was 88% and specificity 51%.
• The negative predictive value was 99% while the positive predictive value was 6%.
Specialty: Nephrology, Clinical Laboratory
ICD-10: ,
