Guo QY, Lu B, Guo ZH, Feng ZQ, Yuan YY, Jin XG, Zang P, Gu P, Shao JQ. Continuous glucose monitoring defined time-in-range is associated with sudomotor dysfunction in type 2 diabetes. World J Diabetes 2020; 11(11): 489-500 [PMID: 33269061 DOI: 10.4239/wjd.v11.i11.489]
Corresponding Author of This Article
Jia-Qing Shao, MD, PhD, Chief Doctor, Professor, Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, No. 305 East Zhongshan Road, Nanjing 210002, Jiangsu Province, China. shaojiaqing@nju.edu.cn
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
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/z
P value
n
331
135
-
-
Male, n (%)
234 (70.69)
92 (68.15)
0.296
0.586
Age (yr)
53.30 ± 11.91
57.45 ± 13.03
-3.318
0.001
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 ± 15.82
135.30 ± 20.02
-1.646
0.101
DBP (mmHg)
79.46 ± 9.69
79.13 ± 10.57
0.322
0.748
BUN (mmol/L)
5.40 (4.50, 6.63)
5.90 (4.80, 7.40)
-2.845
0.004
SCr (µmol/L)
56.00 (48.00, 67.00)
60.00 (48.00, 79.00)
-1.703
0.089
UA (µmol/L)
328.18 ± 88.92
324.04 ± 88.30
0.456
0.648
TC (mmol/L)
4.35 (3.77, 5.11)
4.30 (3.55, 5.31)
-0.567
0.571
TG (mmol/L)
1.51 (1.04, 2.40)
1.67 (1.12, 2.52)
-0.856
0.392
HDL (mmol/L)
1.03 (0.90, 1.24)
1.09 (0.91, 1.27)
-1.067
0.286
LDL (mmol/L)
2.56 (2.10, 3.25)
2.48 (1.82, 3.19)
-1.297
0.195
HbA1c (%)
8.60 ± 2.01
8.94 ± 2.28
-1.564
0.118
BMI (kg/m2)
25.61 ± 3.53
25.27 ± 3.82
0.899
0.369
FBG (mmol/L)
7.23 ± 2.35
7.74 ± 2.71
-1.770
0.079
PBG (mmol/L)
15.62 ± 3.63
15.92 ± 3.68
-0.710
0.478
SD (mmol/L)
2.25 (1.80, 2.85)
2.46 (1.89, 3.06)
-2.234
0.025
MAGE (mmol/L)
4.38 (3.47, 5.50)
4.08 (3.62, 5.56)
-0.168
0.866
MODD (mmol/L)
1.95 (1.40, 2.67)
2.28 (1.63, 3.08)
-2.562
0.010
ADDR (mmol/L)
21.46 (14.55, 28.02)
27.37 (15.11, 34.82)
-2.411
0.016
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)
-1.093
0.274
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 treatment
27 (8.16)
7 (5.19)
7.107
0.069
OHA
104 (31.42)
29 (21.48)
Insulin
44 (13.29)
20 (14.81)
OHA and insulin
156 (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
r
P value
r
P value
r
P value
HESC
-0.032
0.497
0.195
< 0.001
-0.207
< 0.001
FESC
-0.035
0.452
0.164
< 0.001
-0.164
< 0.001
HASYM
-0.014
0.766
-0.175
< 0.001
0.183
< 0.001
FASYM
0.046
0.320
-0.180
< 0.001
0.169
< 0.001
Table 3 Binary logistic regression analysis with presence or absence of sudomotor dysfunction as dependent variable
OR
95%CI
P value
Model 1
TIR
-0.021
0.979
0.971-0.987
< 0.001
Age
0.023
1.024
1.003-1.045
0.027
Smoking
0.632
1.881
1.115-3.174
0.018
Model 2
TIR
-0.024
0.976
0.967-0.986
< 0.001
Age
0.024
1.024
1.003-1.045
0.027
Smoking
0.632
1.881
1.113-3.177
0.018
Model 3
TIR
-0.025
0.975
0.957-0.994
0.010
Age
0.031
1.031
1.008-1.055
0.008
Smoking
0.717
2.047
1.146-3.659
0.016
M value
0.093
1.097
1.040-1.158
0.001
Table 4 Association between tertiles of time in range and sudomotor dysfunction
OR
95%CI
P value
Model 1
TIR T1
-
-
-
-
TIR T2
-1.175
0.309
0.183-0.521
< 0.001
TIR T3
-0.961
0.383
0.225-0.649
< 0.001
Age
0.022
1.022
1.002-1.044
0.035
Smoking
0.600
1.823
1.085-3.063
0.023
Model 2
TIR T1
-
-
-
-
TIR T2
-1.241
0.289
0.164-0.509
< 0.001
TIR T3
-1.032
0.356
0.189-0.673
0.001
Age
0.022
1.022
1.001-1.044
0.036
Smoking
0.608
1.837
1.092-3.091
0.022
Model 3
TIR T1
-
-
-
-
TIR T2
-0.809
0.445
0.209-0.948
0.036
TIR T3
-1.141
0.320
0.123-0.831
0.019
Age
0.029
1.030
1.007-1.053
0.011
Smoking
0.670
1.953
1.100-3.468
0.022
M value
0.111
1.117
1.057-1.180
< 0.001
Citation: Guo QY, Lu B, Guo ZH, Feng ZQ, Yuan YY, Jin XG, Zang P, Gu P, Shao JQ. Continuous glucose monitoring defined time-in-range is associated with sudomotor dysfunction in type 2 diabetes. World J Diabetes 2020; 11(11): 489-500