MicroRNA-451 as an Early Predictor of Chronic Kidney Disease in Diabetic Nephropathy
Table 2
Comparison of demographic and laboratory data between patients’ subgroups.
Parameters
Group (1) eGFR >60 ml/min/1.73 m2
Group (2) eGFR <60 ml/min/1.73 m2
Number (%)
68 (75.6%)
22 (24.4%)
—
Age
53 ± 5.8
54.8 ± 6
0.22
Sex
Male, n (%)
39 (57.4%)
9 (41%)
Female, n (%)
29 (42.6%)
13 (59%)
0.22
Creatinine (mg/dl)
1 ± 0.2
1.3 ± 0.2
0.0001
eGFR ml/min/1.73 m2
78.4 ± 15.8
51.8 ± 6.4
0.0001
BUN (mg/dl)
31 ± 11
44 ± 14
0.22
Fasting blood glucose (mg/dl)
146 ± 33
141 ± 20
0.36
HBA1c (%)
9 ± 1.8
9.6 ± 2
0.18
Cholesterol (mg/dl)
200 ± 13
203 ± 8
0.35
LDL (mg/dl)
119.7 ± 5.9
117.5 ± 72
0.2
Triglycerides (mg/dl)
128.8 ± 10
127.8 ± 12.1
0.7
HDL (mg/dl)
44.2 ± 3.8
44.1 ± 4.5
0.9
Hemoglobin (gm/dl)
11.8 ± 1.7
10.8 ± 1.8
0.25
WBCs (mm3)
6.8 ± 1.7
7 ± 1.5
0.8
Platelets (mm3)
233.4 ± 33.6
226.7 ± 28.7
0.37
Albuminuria mcg/mg creatinine
185 (15–670)
250 (19–900)
0.035
Urine microRNA-451
23.9 ± 2.8
21 ± 0.9
0.0001
Plasma microRNA-451
28.7 ± 1.7
29.6 ± 1.6
0.036
(i) Probability of Mann–Whitney U-test for nonparametric data and values of its variables are expressed as median (range). (ii) Probability of chi square t-test for qualitative data and values of its variables are expressed as n (%) number (percentage). (iii) Probability of independent sample T–test for parametric data and values of its variables are expressed as mean ± standard deviation.
