Chien et al developed models for estimating a patient's risk of having chronic kidney disease. These can help to identify patients who may benefit from a more complete evaluation. The authors are from National Taiwan University and the Chinese Medical University in Taiwan.
Patient selection: Chinese population
Parameters:
(1) age in years
(2) body mass index (BMI)
(3) diastolic blood pressure in mm Hg
(4) type 2 diabetes mellitus
(5) history of stroke
|
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 |
|
body mass index |
< 21 kg per sq m |
0 |
|
|
21 to 25.99 kg per sq m |
1 |
|
|
>= 26 kg per sq m |
2 |
|
diastolic blood pressure |
< 66 mm Hg |
0 |
|
|
66 to 79 mm Hg |
1 |
|
|
>= 80 mm Hg |
2 |
|
type 2 diabetes |
absent |
0 |
|
|
present |
1 |
|
history of stroke |
absent |
0 |
|
|
present |
4 |
total score =
= SUM(points for all 5 parameters)
Interpretation:
• minimum score: 0
• maximum score: 17
• The higher the score the greater the risk of chronic kidney disease.
|
Score |
Risk of Chronic KD |
|
0 or 1 |
2% |
|
2 |
3% |
|
3 |
4% |
|
4 |
6% |
|
5 |
7% |
|
6 |
10% |
|
7 |
13% |
|
8 |
18% |
|
9 |
23% |
|
10 |
31% |
|
11 |
39% |
|
12 |
49% |
|
13 |
60% |
|
14 |
72% |
|
15 |
82% |
|
16 |
90% |
|
17 |
86% |
Perforrmance:
• The area under the ROC curve was 0.77.
• At a cutoff of >= 7, the sensitivity was 76% and specificity 66%. The negative predictive value was 99% while positive predictive value was only 8%.
Specialty: Nephrology, Clinical Laboratory
ICD-10: ,
