A Novel Risk Score Model for the Differential Diagnosis of Type 2 Diabetic Nephropathy: A Multicenter Study
Table 2
Univariate logistic regression analysis and multivariate logistic regression analysis of DN in the training group.
Risk factors
Univariate logistic regression analysis
Multivariate logistic regression analysis
OR
95% CI
value
OR
95% CI
Diabetic retinopathy
19.207
7.713-47.829
<0.001
1.976
7.217
2.505-20.795
<0.001
Diabetes years
5.662
3.027-10.590
<0.001
1.340
3.820
1.621-9.002
0.002
5.096
2.567-10.114
<0.001
1.076
2.932
1.033-8.324
0.043
High urea nitrogen
3.837
2.032-7.245
<0.001
0.030
1.031
0.394-2.699
0.950
Sex (male)
3.626
1.902-6.914
<0.001
1.076
2.932
0.922-9.324
0.068
Diabetes onset years
3.147
1.683-5.888
<0.001
0.521
1.683
0.688-4.118
0.254
24 h
2.535
1.418-4.532
0.002
0.965
2.626
1.064-6.482
0.036
No hematuria
2.508
1.357-4.638
0.003
1.161
3.192
1.258-8.100
0.015
Hyperuricemia
2.252
1.246-4.069
0.007
0.659
1.932
0.800-4.666
0.143
Smoking history
2.226
1.262-3.926
0.006
0.188
1.207
0.464-3.141
0.700
History of hypertension
2.200
1.088-4.447
0.028
0.115
1.121
0.429-2.935
0.815
High urea nitrogen: >7.1 mmol/l; hyperuricemia: uric acid >360 μmol/L; diabetes onset age refers to age at enrollment minus the duration of diabetes; when diabetes was newly diagnosed, the duration was recorded as 0 years, and the onset age was equal to the age at enrollment. The results of urine occult blood were stratified in routine urine examination, and the test results of “+”– “+ + + +” were defined as hematuria.
