Observational Study
Copyright ©The Author(s) 2019.
World J Diabetes. Nov 15, 2019; 10(11): 517-533
Published online Nov 15, 2019. doi: 10.4239/wjd.v10.i11.517
Table 1 Clinical characteristics of type 2 diabetic individuals with different patterns of chronic kidney disease
ParameterCKD- (n = 89)NA-CKD (n = 111)A-CKD– (n = 87)A-CKD+ (n = 73)
General clinical parameters
Sex, M/F, n (%)20/6913/9845/4222/51
22.5/77.511.7/88.3afh51.9/48.1ch30.1/69.9e
Age, yr64 (58; 67)68 (64; 73)bfi63 (59; 68)i67 (61; 77)ae
BMI, kg/m233.4 (28.7; 36.9)32.6 (29.4; 37.2)33.6 (30.1; 38.2)33.4 (30.0; 36.8)
WHR0.97 (0.94; 1.03)0.94 (0.89; 0.99)fh1.04 (0.97; 1.11)a0.98 (0.95; 1.07)
Smoking, n (%)7 (7.9)6 (5.4)18 (20.9)a3 (4.1)
Diabetes duration, yr15 (12; 19)18 (15; 25)cd15 (13; 20)18 (14; 22)a
Diabetic complications and comorbidities
Diabetic retinopathy, n (%)62 (69.7)74 (66.7)65 (74.7)57 (78.1)
Arterial hypertension, n (%)85 (95.5)111 (100)87 (98.9)73 (100)
Coronary artery disease, n (%)41 (46.1)58 (52.3)46 (52.9)41 (56.2)
Myocardial infarction in anamnesis, n (%)7 (7.9)19 (17.1)20 (23.0)b17 (23.3)b
Chronic heart failure (NYHA class III-IV), n (%)5 (5.6)7 (6.3)11 (12.6)4 (5.5)
Carotid atherosclerosis, n (%)15 (16.9)51 (45.9)c33 (37.9)a40 (54.8)c
Cerebrovascular event in anamnesis, n (%)6 (6.7)13 (11.7)a5 (5.8)11 (15.1)a
Peripheral artery disease, n (%)60 (67.4)84 (75.7)59 (67.8)57 (78.1)a
Treatment
Metformin, n (%)61 (68.5)64 (57.7)56 (64.4)43 (58.9)
Sulfonylurea, n (%)29 (32.6)31 (27.9)g21 (24.1)10 (13.7)b
Insulin, n (%)74 (83.1)94 (84.7)g76 (87.5)70 (95.9)a
Duration of insulin therapy, yr6 (4; 10)10 (7; 13)cf6 (3; 10)8 (3; 11)
Daily insulin dose, IU52 (36; 72)46 (34; 62)g56 (40; 78)60 (42; 74)
Daily insulin dose, IU/kg0.60 (0.40; 0.80)0.55 (0.40; 0.70)0.60 (0.40; 0.80)0.63 (0.45; 0.90)
RAS blockers, n (%)67 (75.3)93 (83.8)69 (79.3)61 (83.6)
Diuretics, n (%)36 (40.4)73 (65.8)adg38 (43.7)35 (47.9)
Calcium channel blockers, n (%)27 (30.3)38 (34.2)g34 (39.1)36 (49.3)a
Antiplatelet agents, n (%)46 (51.7)78 (70.3)bd50 (57.5)g57 (78.1)be
Statins, n (%)28 (31.5)59 (53.2)bd31 (35.6)g39 (53.4)be
Table 2 Laboratory parameters of type 2 diabetic individuals with different patterns of chronic kidney disease
ParameterCKD- (n = 89)NA-CKD (n = 111)A-CKD- (n = 87)A-CKD+ (n = 73)
Renal tests
Serum creatinine, μmol/L76 (67.3; 86.8)111 (99.1; 124)cf85.8 (76.1; 96.5)116 (97.8; 144)cf
eGFR, mL/min × 1.73 m277 (69; 87)52 (46; 56)cf72 (66; 84)i51 (46; 55.8)c
UACR, mg/mmol0.5 (0.3; 0.9)0.7 (0.4; 1.0)fi8.3 (4.8; 36.7)c11.4 (5.6; 42.1)c
Urinary protein excretion, mg/day65 (50; 100)70 (50; 140)170 (90; 530)ci200 (130; 520)ci
Biochemistry
HbA1c, %8.4 (7.5; 10.1)8.1 (7.2; 9.5)f9.7 (8.5; 11.2)bg8.6 (7.5; 9.8)
HbA1c, mmol/L68 (58; 87)65 (55; 80)f83 (69; 99)bg70 (58; 84)
Fasting blood glucose, mmol/L8.9 (6.8; 10.2)8.8 (6.5; 10.1)9.5 (8.0; 12.8)a9.6 (7.7; 12.0)
2h-postprandial blood glucose, mmol/L10.7 (9.0; 13.7)11.7 (8.9; 14.0)13.1 (9.9; 15.0)a11.3 (10.0; 14.0)
Total cholesterol, mmol/L5.1 (4.5; 5.9)5.1 (4.3; 6.0)4.9 (4.1; 6.0)5.3 (4.1; 6.4)
LDL-cholesterol, mmol/L3.3 (2.7; 3.9)3.2 (2.5; 4.0)3.1 (2.5; 3.8)3.2 (2.5; 4.1)
HDL-cholesterol, mmol/L1.2 (1.0; 1.4)1.3 (1.1; 1.5)e1.2 (1.0; 1.3)1.1 (1; 1.4)
Triglycerides, mmol/L1.6 (1.3; 2.2)1.6 (1.1; 2.4)1.8 (1.2; 2.9)1.8 (1.3; 2.8)
Uric acid, μmol/L279 (218; 349)327 (269; 381)a324 (276; 376)a349 (272; 390)a
Hematology
Hemoglobin, g/L137 (130; 144)129 (123; 140)bd138 (126; 147)133 (123; 143)
RBC, × 1012/L4.8 (4.5; 5.0)4.5 (4.2; 4.8)ad4.7 (4.5; 5.1)g4.5 (4.1; 4.9)b
WBC, × 109/L6.5 (5.7; 8.0)6.7 (5.7; 7.8)6.6 (5.3; 7.9)6.9 (5.7; 8.0)
Platelets, × 109/L238 (199; 270)234 (195; 270)233 (191; 281)229 (189; 273)
ESR, mm/h16.5 (10; 23)22 (15; 31)b22.5 (15.5; 29.5)b23 (18; 33)c
Coagulation tests
Fibrinogen, g/L4.4 (3.9; 5.5)4.4 (3.9; 5.1)4.5 (3.8; 5.7)4.1 (3.7; 5.1)
SFMCs, mg/dL5.5 (3.5; 15)12 (7; 16)14 (8; 23)a12.5 (7; 21)
D-dimer, ng/mL263 (235; 303)287 (239; 351)271 (232; 304)290 (254; 363)
Table 3 Risk factors for different patterns of chronic kidney disease in patients with type 2 diabetes
Risk factorPattern of CKD
NA-CKD (n = 111)A-CKD– (n = 87)A-CKD+ (n = 73)
Age ≥ 65 yr3.16 (1.76-5.70)1.00 (0.55-1.80)1.76 (0.94-3.28)
P = 0.0001P = 0.99P = 0.08
Duration of diabetes ≥ 15 yr2.81 (1.53-5.17)1.63 (0.89-3.01)2.32 (1.19-4.53)
P = 0.0009P = 0.12P = 0.01
Male sex0.46 (0.21-0.98)2.32 (1.20-2.48)1.49 (0.74-3.01)
P = 0.04P = 0.01P = 0.24
Female sex2.19 (1.02-4.69)0.43 (0.22-0.83)0.67 (0.33-1.36)
P = 0.04P = 0.01P = 0.24
Smoking0.81 (0.25-2.60)3.49 (1.31-9.28)0.56 (0.13-2.34)
P = 0.72P = 0.01P = 0.43
WHR >1.00.61 (0.22-1.65)3.64 (1.32-9.99)1.53 (0.57-4.10)
P = 0.32P = 0.01P = 0.40
HbA1c > 8.0%0.68 (0.38-1.20)2.67 (1.35-5.27)1.10 (0.58-2.09)
P = 0.18P = 0.005P = 0.76
Treatment with diuretics2.80 (1.56-5.00)1.10 (0.60-2.00)1.30 (0.70-2.44)
P = 0.0005P = 0.76P = 0.41
Treatment with calcium channel blockers1.20 (0.66-2.17)1.47 (0.79-2.75)2.23 (1.17-4.25)
P = 0.56P = 0.22P = 0.01
Table 4 Logistic regression model for estimated glomerular filtration rate < 60 mL/min × 1.73 m2, logit(P) = ln[P/(1–P)]
ParameterCoefficient β95%CIP value
Constant-3.5742-6.1459, -1.00250.006
Age, years+0.07510.0413, 0.10890.00001
HbA1c, %-0.2277-0.3645, -0.09080.001
Female sex (1 or 0)+0.22770.0051, 0.57430.046
Use of diuretics (1 or 0)-0.2521-0.4895, -0.01430.04
Table 5 Logistic regression model for urinary albumin-to-creatinine ratio ≥ 3.0 mg/mmol, logit(P) = ln[P/(1–P)]
ParameterCoefficient β95%CIP value
Constant-8.1206-13.1599, -3.08130.002
WHR+5.12280.3920, 9.85350.03
HbA1c, %+0.35700.1169, 0.59710.004
Male sex, (1 or 0)+0.67250.1920, 1.15310.006