Association of glycemic variability assessed by continuous glucose monitoring with subclinical diabetic polyneuropathy in type 2 diabetes patients.
Association of glycemic variability assessed by continuous glucose monitoring with subclinical diabetic polyneuropathy in type 2 diabetes patients.
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通过连续葡萄糖监测与2型糖尿病患者中亚临床糖尿病多神经病的连续葡萄糖监测评估的血糖变异性的关联。
DOI:
10.1111/jdi.13652
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发表时间:
2022-03
影响因子:
3.2
通讯作者:
Wang C
中科院分区:
文献类型:
--
作者:
Pan J;Yan X;Li F;Zhang Y;Jiang L;Wang C
Diabetic peripheral neuropathy is a common diabetes‐related microvascular complication. The relationship between peripheral nerve function and glucose variability is unclear. We investigated the association of glucose variability with subclinical diabetic polyneuropathy in a large‐scale sample of patients with type 2 diabetes. We enrolled 509 individuals with type 2 diabetes who were screened for diabetic peripheral neuropathy and monitored using a continuous glucose monitoring system. Multiple glycemic variability parameters, including the mean amplitude of glycemic excursions, glucose standard deviation (SDgluc) and glucose coefficient of variation were calculated from 3‐day glucose profiles obtained from continuous glucose monitoring. All participants underwent nerve conduction studies, and the composite Z‐scores for nerve conduction parameters were calculated. Multivariate logistic regression analyses showed that SDgluc and the conventional risk factor hemoglobin A1c (HbA1c) were independently associated with abnormal nerve function, and the corresponding odds ratios (95% confidence interval) were 1.198 (1.027–1.397, SDgluc) and 1.182 (1.061–1.316, HbA1c), respectively. The composite Z‐score of nerve conduction velocity and response amplitude obviously decreased with greater SDgluc, and the composite Z‐score of distal latency significantly increased with increasing tertiles of SDgluc (all P trend <0.05). After adjusting for age, sex, body mass index, diabetes duration and HbA1c, SDgluc was independently associated with nerve conduction velocity (β = −0.124, P = 0.021). The SDgluc is a significant independent contributor to subclinical diabetic polyneuropathy, in addition to conventional risk factors including diabetes duration and HbA1c. We carried out a cross‐sectional study to investigate the association of glycemic variability assessed by continuous glucose monitoring with subclinical diabetic polyneuropathy in type 2 diabetes patients. Our study found that increased glycemic variability shown as glucose standard deviation is a significant independent contributor to subclinical diabetic polyneuropathy.
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影响因子:
3.7
作者:
Hu, Yu-ming;Zhao, Li-hua;Su, Jian-bin
通讯作者:
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影响因子:
158.5
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16.2
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影响因子:
16.2
作者:
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通讯作者:
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影响因子:
3.5
作者:
Janghorbani, M.;Rezvanian, H.;Amini, M.
通讯作者:
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