Comparison of Glomerular Filtration Rate Estimation from Serum Creatinine and Cystatin C in HNF1A-MODY and Other Types of Diabetes
Table 1
Clinical characteristics of patients and controls without diabetes.
Clinical characteristics
HNF1A
GCK
T1DM
T2DM
Controls
value
Gender F (%)
26 (36.1)
29 (40.3)
21 (55.7)
39 (55.7)
23 (35.4)
0.0990
Age at the examination (years)
40.28 ± 14.77
36.83 ± 14.65
31.72 ± 11.71
58.96 ± 10.25
38.02 ± 11.70
<0.0001
Age at diagnosis (years)
24.95 ± 10.96
26.19 ± 13.09
18.58 ± 10.97
52.16 ± 10.34
—
<0.0001
Diabetes duration (years)
16.7 ± 11.02
10.58 ± 8.15
12.81 ± 9.45
6.8 ± 6.41
—
<0.0001
Body mass index (kg/m2)
24.05 ± 4.00
23.64 ± 4.40
24.43 ± 3.20
30.48 ± 4.76
23.91 ± 2.93
<0.0001
Fasting glucose (mmol/L)
6.91 ± 2.68
6.82 ± 1.21
7.92 ± 3.18
7.52 ± 1.94
5.12 ± 0.53
<0.0001
HbA1c (%)
6.83 ± 1.41
6.33 ± 0.67
7.41 ± 1.30
7.04 ± 1.33
—
<0.0001
C-peptide (ng/mL)
1.33 ± 0.66
1.31 ± 0.98
0.20 ± 0.25
2.41 ± 1.23
1.55 ± 0.66
<0.0001
Total cholesterol (mmol/L)
4.79 ± 0.97
5.05 ± 1.09
4.41 ± 0.76
4.61 ± 0.97
5.04 ± 0.81
0.0005
LDL-C (mmol/L)
2.64 ± 0.86
2.97 ± 0.85
2.44 ± 0.72
2.56 ± 0.84
3.04 ± 0.76
<0.0001
HDL-C (mmol/L)
1.59 ± 0.42
1.62 ± 0.42
1.63 ± 0.43
1.23 ± 0.37
1.53 ± 0.41
<0.0001
Triglycerides (mmol/L)
1.23 ± 0.92
0.93 ± 0.36
0.85 ± 0.36
1.82 ± 1.02
1.01 ± 0.49
<0.0001
Creatinine (mmol/L)
70.39 ± 15.26
70.46 ± 14.33
68.63 ± 14.77
75.34 ± 17.61
74.4 ± 13.12
0.0646
CRP (mg/L)
0.71 ± 1.16
1.69 ± 2.85
1.53 ± 1.47
3.2 ± 5.06
0.95 ± 0.89
<0.0001
Cystatin C (mg/L)
0.75 ± 0.21
0.72 ± 0.16
0.87 ± 0.15
0.9 ± 0.23
0.70 ± 0.13
<0.0001
Urine albumin/creatine ratio (μg/mg)
6.38 ± 29.62
2.72 ± 13.06
3.66 ± 9.27
7.38 ± 17.85
—
0.0439
eGFR-cys (mL/min/1.73 m2)
110.94 ± 21.57
113.73 ± 18.49
100.02 ± 17.55
89.64 ± 21.64
116.24 ± 15.56
<0.0001
eGFR-cr (mL/min/1.73 m2)
102.86 ± 19.32
105.14 ± 18.13
111.48 ± 15.8
88.66 ± 16.99
99.45 ± 14.35
<0.0001
eGRF-cys - eGFR-cr (ml/min/1.73 m2)
−8.9 ± 18.7
−9.7 ± 17.0
11.6 ± 21.2
−1.00 ± 16.3
−16.9 ± 15.0
<0.0001
Data are presented as mean and standard deviation (SD). For categorical variable numbers and percentage were used. value derived from one-way analysis of variance (ANOVA) or Kruskal-Wallis test to detect a significant difference in the variable levels among study groups.
