Mocroft et al developed risk scores for predicting chronic kidney disease in HIV patients enrolled in the D:A:D Study. The complete model can be used when cardiovascular risk factors are known. The authors are from multiple institutions in Europe, the United States and Australia.
Patient selection: HIV positie, estimated GFR > 60 mL per min per 1.73 square meters
Parameters:
(1) age in years
(2) gender
(3) intravenous drug user (and HIV exposure)
(4) hepatitis C coinfection
(5) baseline estimated GFR in mL per min per 1.73 square meter
(6) nadir absolute CD4 count per µL
(7) hypertension
(8) history of cardiovascular disease
(9) diabetes mellitus
Parameter |
Finding |
Points |
---|---|---|
age in years |
<= 35 years |
0 |
|
36 to 50 years |
1.0813 |
|
51 to 60 years |
2.0276 |
|
> 60 years |
2.7841 |
gender |
male |
0 |
|
female |
0.3982 |
intravenous drug user |
no |
0 |
|
yes |
0.6556 |
hepatitis C coinfection |
no |
0 |
|
yes |
0.3395 |
baseline eGFR |
> 90 |
-1.6365 |
|
71 to 90 |
0 |
|
61 to 70 |
1.6475 |
nadir absolute CD4 count |
<= 200 per microliter |
0 |
|
> 200 per µL |
-0.2848 |
hypertension |
no |
0 |
|
yes |
0.2386 |
history of cardiovascular disease |
no |
0 |
|
yes |
0.4097 |
diabetes mellitus |
no |
0 |
|
yes |
0.5764 |
where:
• There is an alternative score using summation of assigned points.
X =
= SUM(points for all 9 parameters) – 6.2406
probability of CKD =
= 1 / (1 + EXP((-1) * X))
Specialty: Nephrology, Clinical Laboratory