Retrospective Study
Copyright ©The Author(s) 2020.
World J Diabetes. Nov 15, 2020; 11(11): 489-500
Published online Nov 15, 2020. doi: 10.4239/wjd.v11.i11.489
Table 1 Comparison of clinical variables between sudomotor dysfunction (-) and sudomotor dysfunction (+) groups
Sudomotor dysfunction (-)Sudomotor dysfunction (+)χ2/t/zP value
n331135--
Male, n (%)234 (70.69)92 (68.15)0.2960.586
Age (yr)53.30 ± 11.9157.45 ± 13.03-3.3180.001
Diabetes duration (yr)7 (2, 11)10 (6, 15)-4.266< 0.001
Smoking, n (%)84 (25.38)65 (48.15)22.86< 0.001
SBP (mmHg)132.12 ± 15.82135.30 ± 20.02-1.6460.101
DBP (mmHg)79.46 ± 9.6979.13 ± 10.570.3220.748
BUN (mmol/L)5.40 (4.50, 6.63)5.90 (4.80, 7.40)-2.8450.004
SCr (µmol/L)56.00 (48.00, 67.00)60.00 (48.00, 79.00)-1.7030.089
UA (µmol/L)328.18 ± 88.92324.04 ± 88.300.4560.648
TC (mmol/L)4.35 (3.77, 5.11)4.30 (3.55, 5.31)-0.5670.571
TG (mmol/L)1.51 (1.04, 2.40)1.67 (1.12, 2.52)-0.8560.392
HDL (mmol/L)1.03 (0.90, 1.24)1.09 (0.91, 1.27)-1.0670.286
LDL (mmol/L)2.56 (2.10, 3.25)2.48 (1.82, 3.19)-1.2970.195
HbA1c (%)8.60 ± 2.018.94 ± 2.28-1.5640.118
BMI (kg/m2)25.61 ± 3.5325.27 ± 3.820.8990.369
FBG (mmol/L)7.23 ± 2.357.74 ± 2.71-1.7700.079
PBG (mmol/L)15.62 ± 3.6315.92 ± 3.68-0.7100.478
SD (mmol/L)2.25 (1.80, 2.85)2.46 (1.89, 3.06)-2.2340.025
MAGE (mmol/L)4.38 (3.47, 5.50)4.08 (3.62, 5.56)-0.1680.866
MODD (mmol/L)1.95 (1.40, 2.67)2.28 (1.63, 3.08)-2.5620.010
ADDR (mmol/L)21.46 (14.55, 28.02)27.37 (15.11, 34.82)-2.4110.016
M value (mmol/L)5.99 (3.01, 11.25)11.30 (3.85, 24.67)-4.096< 0.001
TBR (%)0.00 (0.00, 0.00)0.00 (0.00, 0.00)-1.0930.274
TIR (%)72.82 (53.06, 86.79)53.12 (28.36, 79.69)-4.446< 0.001
TAR (%)26.38 (12.65, 42.97)44.73 (19.28, 71.20)-4.602< 0.001
Microvascular complications
DN, n (%)51 (15.41)53 (39.26)31.465< 0.001
DR, n (%)69 (20.85)62 (45.93)29.846< 0.001
Treatment, n (%)
No treatment27 (8.16)7 (5.19)7.1070.069
OHA104 (31.42)29 (21.48)
Insulin44 (13.29)20 (14.81)
OHA and insulin156 (47.13)79 (58.52)
Table 2 Association between time below range, time in range, or time above range and SUDOSCAN indicators
TBR
TIR
TAR
rP valuerP valuerP value
HESC-0.0320.4970.195< 0.001-0.207< 0.001
FESC-0.0350.4520.164< 0.001-0.164< 0.001
HASYM-0.0140.766-0.175< 0.0010.183< 0.001
FASYM0.0460.320-0.180< 0.0010.169< 0.001
Table 3 Binary logistic regression analysis with presence or absence of sudomotor dysfunction as dependent variable
OR95%CIP value
Model 1
TIR-0.0210.9790.971-0.987< 0.001
Age0.0231.0241.003-1.0450.027
Smoking0.6321.8811.115-3.1740.018
Model 2
TIR-0.0240.9760.967-0.986< 0.001
Age0.0241.0241.003-1.0450.027
Smoking0.6321.8811.113-3.1770.018
Model 3
TIR-0.0250.9750.957-0.9940.010
Age0.0311.0311.008-1.0550.008
Smoking0.7172.0471.146-3.6590.016
M value0.0931.0971.040-1.1580.001
Table 4 Association between tertiles of time in range and sudomotor dysfunction
OR95%CIP value
Model 1
TIR T1----
TIR T2-1.1750.3090.183-0.521< 0.001
TIR T3-0.9610.3830.225-0.649< 0.001
Age0.0221.0221.002-1.0440.035
Smoking0.6001.8231.085-3.0630.023
Model 2
TIR T1----
TIR T2-1.2410.2890.164-0.509< 0.001
TIR T3-1.0320.3560.189-0.6730.001
Age0.0221.0221.001-1.0440.036
Smoking0.6081.8371.092-3.0910.022
Model 3
TIR T1----
TIR T2-0.8090.4450.209-0.9480.036
TIR T3-1.1410.3200.123-0.8310.019
Age0.0291.0301.007-1.0530.011
Smoking0.6701.9531.100-3.4680.022
M value0.1111.1171.057-1.180< 0.001