Huang et al reported a model for predicting hyperuricemia in a diabetic patient with nephropathy. The authors are from Ningbo University in China.
Patiemt: diabetic nephropathy
Parameters:
(1) gender
(2) family history of type 2 diabetes
(3) history of drinking alcohol (not elaborated on)
(4) body mass index (BMI) in kg per square meter
(5) eGFR in mL per min per 1.73 square meters
(6) hyperlipidemia
Parameter
Finding
Points
gender
male
0
female
8.9
family history of diabetes
no
yes
10.4
history of drinking
22.3
BMI
<= 24 kg per sq m
24.01 to 28
> 28 kg per sq m
25.2
eGFR
> 120
90 to 120
39.3
60 to 89
70.1
30 to 59
100
< 30 mL/min/1.73 sq m
85.3
hyperlipidemia
18.9
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 185.7
• The higher the score the greater the risk of hyperuricemia.
value of X =
= (0.02866 * (score)) - 2.366
probability of hyperuricemia =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve is 0.84.
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Specialty: Surgery, orthopedic
