The correlation between the coefficient of variation of blood glucose and peripheral neuropathy in type 2 diabetes

YIN Xiaorong; HU Xiujuan; WANG Shuqian; CUI Mengjie; HUANG Qinyi; YIN Yangliu; ZHANG Ya; SUN Yan

doi:10.7619/jcmp.20231487

Journal of Clinical Medicine in Practice > 2023 > 27(13): 48-52. > DOI: 10.7619/jcmp.20231487

YIN Xiaorong, HU Xiujuan, WANG Shuqian, CUI Mengjie, HUANG Qinyi, YIN Yangliu, ZHANG Ya, SUN Yan. The correlation between the coefficient of variation of blood glucose and peripheral neuropathy in type 2 diabetes[J]. Journal of Clinical Medicine in Practice, 2023, 27(13): 48-52. DOI: 10.7619/jcmp.20231487

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The correlation between the coefficient of variation of blood glucose and peripheral neuropathy in type 2 diabetes

Department of Geriatric Gerontoendocrinology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022

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Received Date: May 08, 2023
Revised Date: June 19, 2023
Available Online: July 18, 2023

Graphical Abstract

Abstract

Abstract

Objective
To explore the correlations of clinical data and glucose data collected by continuous glucose monitoring system (CGM) with diabetic peripheral neuropathy (DPN) in hospitalized type 2 diabetic patients(T2DM) and its risk prediction value.
Methods
The clinical data of 97 T2DM patients hospitalized in the Department the First Affiliated Hospital of Anhui Medical University were collected, and their blood glucose was recorded by CGM, and the mean blood glucose, coefficient of variation of blood glucose (CV), standard deviation of blood glucose (SD), mean 24-hour fluctuation of blood glucose (MAGE), mean absolute difference of day-to-day blood glucose (MODD) and time within normal target range for glucose (TIR). The enrolled patients were divided into non-DPN free (NDPN) group (n=49) and DPN group (n=48). Clinical data and CGM-related indicators were analyzed between the two groups, and the correlations between CGM-related indicators and the risk of DPN development were analyzed using binary Logistic regression analysis; the predictive value of CV for the development of DPN was analyzed using the receiver operating characteristic (ROC) curve.
Results
The differences in age, systolic blood pressure and platelets (PLT) were found between the DPN group and the NDPN group (P < 0.05). The results of CGM correlation data analysis suggested statistically significant differences in CV, SD, MAGE and MODD between the two groups (P < 0.05). Binary Logistic regression analysis showed that higher CV was a risk factor for T2DM peripheral neuropathy (P < 0.05). The area under the ROC curve was 0.714 (95%CI, 0.613 to 0.814, P < 0.001), with a cut-off value of 45.80%, the sensitivity was 66.70% and the specificity was 65.30%.
Conclusion
There are significant differences in age, systolic pressure, PLT, CV, SD, MAGE and MODD between the two groups; CV is a influencing factor for the development of DPN, and has a good predictive value for the development of DPN.
- type 2 diabetes,
- continuous glucose monitoring,
- coefficient of variation,
- diabetic peripheral neuropathy,
- glucose fluctuation,
- correlation

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References

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The correlation between the coefficient of variation of blood glucose and peripheral neuropathy in type 2 diabetes

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