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Retrospective Cohort Study
Copyright: ©Author(s) 2026.
World J Diabetes. Apr 15, 2026; 17(4): 116772
Published online Apr 15, 2026. doi: 10.4239/wjd.v17.i4.116772
Table 1 Comparison of baseline characteristics between rapid and non-rapid estimated glomerular filtration rate decline groups, n (%)
Characteristic
Total (n = 302)
Rapid decline group (n = 89)
Non-rapid decline group (n = 213)
Statistical value
P value
Demographics
Age (year), mean ± SD58.7 ± 10.362.3 ± 9.857.1 ± 10.2t = 3.912< 0.001
Male174 (57.6)52 (58.4)122 (57.3)χ2 = 0.035> 0.05
Diabetes duration (years), mean ± SD9.2 ± 5.811.8 ± 6.28.1 ± 5.3t = 4.783< 0.001
Follow-up time (years), mean ± SD2.5 ± 0.82.6 ± 0.72.5 ± 0.8t = 0.952> 0.05
Renal function parameters
Baseline eGFR (mL/minute/1.73 m2), mean ± SD72.1 ± 19.658.4 ± 15.778.6 ± 18.3t = 8.745< 0.001
UACR (mg/g), median (P25, P75)98.3 (28.5, 412.7)368.5 (125.3, 892.6)45.2 (18.7, 156.3)Z = 7.821< 0.001
Metabolic parameters
HbA1c (%), mean ± SD7.8 ± 1.58.7 ± 1.67.4 ± 1.2t = 6.892< 0.001
Serum uric acid (μmol/L), mean ± SD387.3 ± 81.5428.6 ± 82.3368.5 ± 75.4t = 5.632< 0.001
Hemoglobin (g/L), mean ± SD127.4 ± 17.2115.8 ± 16.4132.5 ± 14.8t = 8.124< 0.001
Blood pressure
Systolic blood pressure (mmHg), mean ± SD138.2 ± 17.4145.8 ± 18.2134.6 ± 15.7t = 4.982< 0.001
Medication use
RAAS inhibitor use194 (64.2)47 (52.8)153 (71.8)χ2 = 9.8760.002
SGLT-2 inhibitor use131 (43.4)28 (31.5)103 (48.4)χ2 = 6.8920.009
Table 2 Univariate analysis of risk factors for rapid estimated glomerular filtration rate decline, n (%)
Risk factors
Rapid decline (n = 89)
Non-rapid decline (n = 213)
χ2 value
P value
Age
≥ 60 years58 (65.2)96 (45.1)15.32< 0.001
< 60 years31 (34.8)117 (54.9)
Diabetes duration
≥ 10 years54 (60.7)82 (38.5)18.76< 0.001
< 10 years35 (39.3)131 (61.5)
HbA1c control
≥ 8.0%52 (58.4)56 (26.3)32.45< 0.001
< 8.0%37 (41.6)157 (73.7)
Baseline eGFR
< 60 mL/minute/1.73 m264 (71.9)72 (33.8)41.28< 0.001
≥ 60 mL/minute/1.73 m225 (28.1)141 (66.2)
UACR
≥ 300 mg/g58 (65.2)48 (22.5)52.36< 0.001
< 300 mg/g31 (34.8)165 (77.5)
Systolic blood pressure
≥ 140 mmHg58 (65.2)84 (39.4)22.15< 0.001
< 140 mmHg31 (34.8)129 (60.6)
Diastolic blood pressure
≥ 90 mmHg38 (42.7)62 (29.1)8.470.004
< 90 mmHg51 (57.3)151 (70.9)
Hyperuricemia
Yes56 (62.9)68 (31.9)26.83< 0.001
No33 (37.1)145 (68.1)
Anemia
Yes62 (69.7)68 (31.9)31.54< 0.001
No27 (30.3)145 (68.1)
Hypoalbuminemia
Yes34 (38.2)48 (22.5)12.65< 0.001
No55 (61.8)165 (77.5)
History of hypertension
Yes72 (80.9)142 (66.7)9.820.002
No17 (19.1)71 (33.3)
History of coronary heart disease
Yes28 (31.5)42 (19.7)7.310.007
No61 (68.5)171 (80.3)
RAAS inhibitor use
Non-use42 (47.2)60 (28.2)11.730.001
Use47 (52.8)153 (71.8)
SGLT-2 inhibitor use
Non-use61 (68.5)110 (51.6)8.950.003
Use28 (31.5)103 (48.4)
Table 3 Comparison with established diabetic kidney disease risk prediction models
Performance metric
Our nomogram
KFRE-8
KFRE-4
KDIGO stratification
Discrimination
AUC (95%CI)0.876 (0.836-0.916)0.811 (0.769-0.853)0.782 (0.738-0.826)0.758 (0.713-0.803)
P value (vs nomogram)-0.0180.002< 0.001
Sensitivity (%)81.573.068.561.8
Specificity (%)79.876.174.678.4
Reclassification
NRI-0.312 (< 0.001)0.428 (< 0.001)-
IDI-0.089 (< 0.001)0.156 (< 0.001)-
Calibration
Hosmer-Lemeshow χ²6.3411.2815.7618.92
P value0.610.190.0460.015
Clinical utility
Net benefit (30% threshold)0.310.180.140.09