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
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 |
Age | 56.01 ± 9.41 | 57.42 ± 8.15 | -1.129 | 0.260 |
Sex | 1.150 | 0.284 | ||
Male | 27 (36.49) | 60 (44.12) | ||
Female | 47 (63.51) | 76 (55.88) | ||
BMI (kg/m2) | 24.60 ± 3.92 | 23.73 ± 2.94 | 1.673 | 0.097 |
Duration of diabetes (yr) | 5.28 ± 1.34 | 4.86 ± 0.76 | 2.507 | 0.014 |
History of hypertension | 0.465 | 0.495 | ||
Yes | 24 (32.43) | 38 (27.94) | ||
No | 50 (67.57) | 98 (72.06) | ||
DR | 8.761 | 0.003 | ||
Yes | 34 (45.95) | 24 (17.65) | ||
No | 40 (54.05) | 112 (82.35) | ||
Coronary heart disease | 0.350 | 0.554 | ||
Yes | 19 (25.68) | 30 (22.06) | ||
No | 55 (74.32) | 106 (77.94) | ||
FBG (mmol/L) | 8.18 ± 1.67 | 7.71 ± 1.14 | 2.160 | 0.033 |
Scr (μmol/L) | 91.25 ± 14.72 | 84.61 ± 9.80 | 3.485 | 0.001 |
HbAlc (%) | 7.04 ± 1.33 | 6.29 ± 1.05 | 4.239 | < 0.001 |
BUN (mmol/L) | 7.10 ± 0.96 | 6.78 ± 1.13 | 2.111 | 0.036 |
TC (mmol/L) | 4.81 ± 0.89 | 4.83 ± 0.97 | –0.189 | 0.851 |
TG (mmol/L) | 1.78 ± 0.4 | 1.72 ± 0.38 | 1.090 | 0.277 |
HDL-C (mmol/L) | 1.41 ± 0.31 | 1.45 ± 0.32 | −0.972 | 0.332 |
LDL-C (mmol/L) | 3.31 ± 0.57 | 3.33 ± 0.86 | −0.185 | 0.853 |
Table 2 Variable assignment
Factors | Variables of interest | Assignment of value |
Concurrent DN or not | Y | Yes = 1, No = 0 |
Duration of diabetes (yr) | × 1 | Numerical value |
FBG (mmol/L) | × 2 | Numerical value |
Scr (μmol/L) | × 3 | Numerical value |
HbAlc (%) | × 4 | Numerical value |
BUN (mmol/L) | × 5 | Numerical value |
DR | × 6 | Yes = 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) | 0.352 | 0.164 | 4.619 | 0.032 | 1.421 | 1.031-1.959 |
FBG (mmol/L) | 0.272 | 0.128 | 4.518 | 0.034 | 1.312 | 1.021-1.685 |
Scr (μmol/L) | 0.063 | 0.015 | 16.745 | < 0.001 | 1.065 | 1.033-1.097 |
HbAlc (%) | 0.707 | 0.161 | 19.31 | < 0.001 | 2.029 | 1.480-2.781 |
BUN (mmol/L) | 0.250 | 0.158 | 2.507 | 0.113 | 1.283 | 0.942-1.748 |
DR | 0.883 | 0.360 | 6.035 | 0.014 | 2.419 | 1.196-4.894 |
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) |
Nomogram | 0.746 | 0.710 | 0.844 | 0.906 | 0.690 | 0.811 (0.700-0.923) |
Decision tree | 0.714 | 0.710 | 0.875 | 0.906 | 0.659 | 0.735 (0.602-0.869) |
Random forest | 0.730 | 0.806 | 0.844 | 0.906 | 0.674 | 0.850 (0.750-0.950) |
- Citation: Cai SS, Zheng TY, Wang KY, Zhu HP. Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus. World J Diabetes 2024; 15(1): 43-52
- URL: https://www.wjgnet.com/1948-9358/full/v15/i1/43.htm
- DOI: https://dx.doi.org/10.4239/wjd.v15.i1.43