Retrospective Study
Copyright ©The Author(s) 2024.
World J Diabetes. Jan 15, 2024; 15(1): 43-52
Published online Jan 15, 2024. doi: 10.4239/wjd.v15.i1.43
Table 1 Results of univariate analysis of diabetic nephropathy in patients with type 2 diabetes [n (%)/mean ± SD]
Indicators
DN group (n = 74)
Non-DN group (n = 136)
t/χ²
P value
Age56.01 ± 9.4157.42 ± 8.15-1.1290.260
Sex1.1500.284
Male27 (36.49)60 (44.12)
Female47 (63.51)76 (55.88)
BMI (kg/m2)24.60 ± 3.9223.73 ± 2.941.6730.097
Duration of diabetes (yr)5.28 ± 1.344.86 ± 0.762.5070.014
History of hypertension0.4650.495
Yes24 (32.43)38 (27.94)
No50 (67.57)98 (72.06)
DR8.7610.003
Yes34 (45.95)24 (17.65)
No40 (54.05)112 (82.35)
Coronary heart disease0.3500.554
Yes19 (25.68)30 (22.06)
No55 (74.32)106 (77.94)
FBG (mmol/L)8.18 ± 1.677.71 ± 1.142.1600.033
Scr (μmol/L)91.25 ± 14.7284.61 ± 9.803.4850.001
HbAlc (%)7.04 ± 1.336.29 ± 1.054.239< 0.001
BUN (mmol/L)7.10 ± 0.966.78 ± 1.132.1110.036
TC (mmol/L)4.81 ± 0.894.83 ± 0.97–0.1890.851
TG (mmol/L)1.78 ± 0.41.72 ± 0.381.0900.277
HDL-C (mmol/L)1.41 ± 0.311.45 ± 0.32−0.9720.332
LDL-C (mmol/L)3.31 ± 0.573.33 ± 0.86−0.1850.853
Table 2 Variable assignment
Factors
Variables of interest
Assignment of value
Concurrent DN or notYYes = 1, No = 0
Duration of diabetes (yr)× 1Numerical value
FBG (mmol/L)× 2Numerical value
Scr (μmol/L)× 3Numerical value
HbAlc (%)× 4Numerical value
BUN (mmol/L)× 5Numerical value
DR× 6Yes = 1, No = 0
Table 3 Results of multivariate analysis of diabetic nephropathy in patients with type 2 diabetes
Factors
B
SE
Wald
P value
OR
95%CI
Duration of diabetes (yr)0.3520.1644.6190.0321.4211.031-1.959
FBG (mmol/L)0.2720.1284.5180.0341.3121.021-1.685
Scr (μmol/L)0.0630.01516.745< 0.0011.0651.033-1.097
HbAlc (%)0.7070.16119.31< 0.0012.0291.480-2.781
BUN (mmol/L)0.2500.1582.5070.1131.2830.942-1.748
DR0.8830.3606.0350.0142.4191.196-4.894
Table 4 Efficacy of three model validation sets in predicting concurrent diabetic nephropathy in patients with type 2 diabetes
Model
Accuracy
Sensitivity
Specificity
Rate of recall
Rate of precision
AUC (95%CI)
Nomogram0.7460.7100.8440.9060.6900.811 (0.700-0.923)
Decision tree0.7140.7100.8750.9060.6590.735 (0.602-0.869)
Random forest0.7300.8060.8440.9060.6740.850 (0.750-0.950)