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©The Author(s) 2023.
World J Clin Cases. Feb 16, 2023; 11(5): 1019-1030
Published online Feb 16, 2023. doi: 10.12998/wjcc.v11.i5.1019
Published online Feb 16, 2023. doi: 10.12998/wjcc.v11.i5.1019
Table 1 Comparison of clinical data regarding lacune burden
Variables | Low load group | High load group | Statistical parameters | P value |
Age [M (P25, P75), yr] | 66 (57, 73) | 70 (63, 76) | -1.632 | 0.105 |
Gender (Male/Female) | 51/43 | 28/22 | 0.040a | 0.841 |
Fasting blood glucose [M (P25, P75), mmol/L] | 5.42 (4.94, 6.18) | 5.6 (5.01, 7.33) | -1.154 | 0.249 |
TG [M (P25, P75), mmol/L] | 1.6 (1.23, 1.88) | 1.55 (1.36, 1.86) | -0.520 | 0.603 |
TC (mean ± SD, mmol/L) | 3.88 ± 0.9 | 3.69 ± 1.11 | 1.054b | 0.295 |
HDL-C (mean ± SD, mmol/L) | 1.63 ± 0.78 | 1.85 ± 1.07 | -1.276b | 0.206 |
LDL-C (mean ± SD, mmol/L) | 2.25 ± 0.66 | 2.11 ± 0.8 | 1.168b | 0.245 |
HbA1c [M (P25, P75), %] | 8.20 (7.12, 9.66) | 8.99 (7.48, 9.90) | -1.452 | 0.147 |
Hcy [M (P25, P75) umol/L] | 10.6 (8.33, 13.57) | 11 (9.17, 13.93) | -0.913 | 0.361 |
CRP [M (P25, P75) mg/L] | 2.35 (0.8, 4.3) | 2.98 (1.1, 5.9) | -1.408 | 0.159 |
History of hypertension (n, %) | 30 (31.9%) | 24 (48%) | 3.603a | 0.058 |
History of coronary heart disease (n, %) | 20 (21.3%) | 14 (28%) | 0.818a | 0.366 |
Smoking history (n, %) | 16 (17%) | 11 (22%) | 0.531a | 0.466 |
Drinking history (n, %) | 17 (18.1%) | 12 (24%) | 0.710a | 0.399 |
BMI (mean ± SD, mmol/L) | 24.78 ± 2.82 | 25.27 ± 2.29 | -1.065b | 0.289 |
SD (mean ± SD, mmol/L) | 2.79 ± 0.37 | 3.15 ± 0.57 | -3.949b | < 0.001 |
%CV (mean ± SD, %) | 25.74 ± 4.1 | 31.02 ± 5.94 | -5.615b | < 0.001 |
LAGE [M (P25, P75), mmol/L)] | 9.94 (6.16, 12.27) | 10.38 (6.79, 13.33) | -0.89 | 0.373 |
TIR [M (P25, P75), %)] | 59.95 (49.18, 72.64) | 43.2 (35.3, 51.24) | 6.682 | < 0.001 |
Table 2 Comparison of blood glucose variability indicators in different cognitive function groups
Group | Number | SD | %CV | LAGE | TIR |
Cognitive dysfunction | 37 | 3.15 ± 0.53 | 31.28 ± 5.38 | 10.35 (6.51, 13.49) | 47.04 (37.61, 53.52) |
Normal cognitive function | 107 | 2.84 ± 0.44 | 26.29 ± 4.83 | 10.01 (6.34, 12.27) | 56.02 (45.78, 69.46) |
Statistical parameters | -3.513 | -5.254 | -0.738 | 3.825 | |
P value | < 0.001 | < 0.001 | 0.461 | < 0.001 |
Table 3 Multivariate logistic regression analysis of the influencing factors on infarct burden in patients with lacunes complicated with type 2 diabetes mellitus
β | SD | Wald | P value | OR | 95%Cl | |
SD | 1.269 | 0.526 | 2.412 | 0.016 | 3.558 | [1.268, 9.978] |
%CV | 0.176 | 0.05 | 3.527 | < 0.001 | 1.192 | [1.081, 1.315] |
TIR | -0.129 | 0.028 | -4.648 | < 0.001 | 0.874 | [0.833, 0.928] |
Table 4 Multivariate logistic regression analysis of the influencing factors on cognitive impairment in patients with lacunes complicated with type 2 diabetes mellitus
β | SD | Wald | P value | OR | 95%CI | |
SD | 0.919 | 0.465 | 1.976 | 0.048 | 2.506 | [1.008, 6.230] |
%CV | 0.151 | 0.045 | 3.365 | 0.001 | 1.163 | [1.065, 1.270] |
TIR | -0.044 | 0.019 | -2.253 | 0.024 | 0.957 | [0.922, 0.994] |
- Citation: Meng QZ, Wang Y, Li B, Xi Z, Wang M, Xiu JQ, Yang XP. Relationship between glycemic variability and cognitive function in lacune patients with type 2 diabetes. World J Clin Cases 2023; 11(5): 1019-1030
- URL: https://www.wjgnet.com/2307-8960/full/v11/i5/1019.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v11.i5.1019