O'Seaghdha et al reported a score for predicting the risk of developing chronic kidney disease in the general population. This was based on data from the Framingham Heart Study and the Atherosclerosis Risk in Communities (ARIC) study. The author are from multiple institutions in Boston and Baltimore.
Patient: adult in the United States from 30 to 85 years of age with eGFR >= 60 mL per min per 1.73 square meters
Outcome: chronic kidney disease (CKD) in 10 years
Parameters:
(1) age in years
(2) diabetes
(3) hypertension
(4) dipstick for proteinuria (or urine albumin to creatinine ratio)
(5) estimated GFR in mL per min per 1.73 square meters
Parameter |
Findings |
Points |
age in years |
30 to 34 |
0 |
|
35 to 39 |
1 |
|
40 to 44 |
2 |
|
45 to 49 |
3 |
|
50 to 54 |
4 |
|
55 to 59 |
4 |
|
60 to 64 |
5 |
|
65 to 69 |
6 |
|
70 to 74 |
7 |
|
75 to 79 |
8 |
|
80 to 85 |
9 |
diabetes |
no |
0 |
|
yes |
1 |
hypertension |
no |
0 |
|
yes |
1 |
urine protein dipstick |
negative |
0 |
|
trace or above |
1 |
eGFR |
60 to 74 |
3 |
|
75 to 89 |
1 |
|
90 to 119 |
0 |
|
>= 120 |
0 |
where:
• A urine albumin to creatinine ratio >= 30 mg/g is an alternate to urine protein dipstick.
total score =
= SUM(points for all 5 parameters)
Interpretation:
• minimum score: 0
• maximum score: 15
• The higher the score the greater the 10-year risk of CKD.
Total Score |
10-Year Risk |
0 or 1 |
0% |
2 or 3 |
1% |
4 |
2% |
5 |
3% |
6 |
5% |
7 |
9% |
8 |
14% |
9 |
20% |
10 |
30% |
11 |
41% |
12 |
54% |
13 |
66% |
14 |
76% |
15 |
84% |
Performance:
• The area under the ROC curve is 0.813.
Purpose: To predict the 10-year risk of developing chronic kidney disease using the score of O'Seaghdha et al.
Specialty: Nephrology
Objective: risk factors
ICD-10: N17-N19,