Association of time in range, as assessed by continuous glucose monitoring, with painful diabetic polyneuropathy
Aims/Introduction This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy. Materials and Methods A total of 364 individuals with diabetic peripheral neuropathy were enrolled in t...
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Published in | Journal of diabetes investigation Vol. 12; no. 5; pp. 828 - 836 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Japan
John Wiley & Sons, Inc
01.05.2021
John Wiley and Sons Inc Wiley |
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Abstract | Aims/Introduction
This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy.
Materials and Methods
A total of 364 individuals with diabetic peripheral neuropathy were enrolled in this study. Sensor‐based flash glucose monitoring systems were used to monitor the participants’ glucose levels, and the glycemic variability metrics were calculated, including the TIR, glucose coefficient of variation, standard deviation and the mean amplitude of glycemic excursions. The participants were asked to record any form of pain during the 2 weeks of monitoring, and score the pain every day on a numerical rating scale. Based on the numerical rating scale, the patients were divided into the pain‐free group, mild pain group and moderate/severe pain group.
Results
Overall, 51.92% (189/364) of the participants were diagnosed with painful diabetic neuropathy. Compared with the pain‐free group, the level of TIR decreased significantly in the mild pain and moderate/severe pain groups (P < 0.05). The prevalence of mild pain and moderate/severe pain decreased with increasing TIR quartiles (all P < 0.05). Multiple linear regression analysis showed that TIR was significantly negatively correlated with the numerical rating scale score after adjustment for glycated hemoglobin, glycemic variability indicators and other risk factors (P < 0.05). Logistic regression analysis showed that a decreasing level of TIR was significantly associated with an increasing risk of any pain and moderate/severe pain (P < 0.05).
Conclusions
TIR is correlated with painful diabetic neuropathy and is underscored as a valuable clinical evaluation measure.
Time in range is correlated with the degree of painful diabetic neuropathy independently of the glycated hemoglobin level, other glycemic variability metrics and risk factors among diabetes patients. Furthermore, time in range was a valuable clinical evaluation indicator for patients with diabetes. |
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AbstractList | Aims/Introduction
This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy.
Materials and Methods
A total of 364 individuals with diabetic peripheral neuropathy were enrolled in this study. Sensor‐based flash glucose monitoring systems were used to monitor the participants’ glucose levels, and the glycemic variability metrics were calculated, including the TIR, glucose coefficient of variation, standard deviation and the mean amplitude of glycemic excursions. The participants were asked to record any form of pain during the 2 weeks of monitoring, and score the pain every day on a numerical rating scale. Based on the numerical rating scale, the patients were divided into the pain‐free group, mild pain group and moderate/severe pain group.
Results
Overall, 51.92% (189/364) of the participants were diagnosed with painful diabetic neuropathy. Compared with the pain‐free group, the level of TIR decreased significantly in the mild pain and moderate/severe pain groups (P < 0.05). The prevalence of mild pain and moderate/severe pain decreased with increasing TIR quartiles (all P < 0.05). Multiple linear regression analysis showed that TIR was significantly negatively correlated with the numerical rating scale score after adjustment for glycated hemoglobin, glycemic variability indicators and other risk factors (P < 0.05). Logistic regression analysis showed that a decreasing level of TIR was significantly associated with an increasing risk of any pain and moderate/severe pain (P < 0.05).
Conclusions
TIR is correlated with painful diabetic neuropathy and is underscored as a valuable clinical evaluation measure.
Time in range is correlated with the degree of painful diabetic neuropathy independently of the glycated hemoglobin level, other glycemic variability metrics and risk factors among diabetes patients. Furthermore, time in range was a valuable clinical evaluation indicator for patients with diabetes. This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy. A total of 364 individuals with diabetic peripheral neuropathy were enrolled in this study. Sensor-based flash glucose monitoring systems were used to monitor the participants' glucose levels, and the glycemic variability metrics were calculated, including the TIR, glucose coefficient of variation, standard deviation and the mean amplitude of glycemic excursions. The participants were asked to record any form of pain during the 2 weeks of monitoring, and score the pain every day on a numerical rating scale. Based on the numerical rating scale, the patients were divided into the pain-free group, mild pain group and moderate/severe pain group. Overall, 51.92% (189/364) of the participants were diagnosed with painful diabetic neuropathy. Compared with the pain-free group, the level of TIR decreased significantly in the mild pain and moderate/severe pain groups (P < 0.05). The prevalence of mild pain and moderate/severe pain decreased with increasing TIR quartiles (all P < 0.05). Multiple linear regression analysis showed that TIR was significantly negatively correlated with the numerical rating scale score after adjustment for glycated hemoglobin, glycemic variability indicators and other risk factors (P < 0.05). Logistic regression analysis showed that a decreasing level of TIR was significantly associated with an increasing risk of any pain and moderate/severe pain (P < 0.05). TIR is correlated with painful diabetic neuropathy and is underscored as a valuable clinical evaluation measure. Aims/IntroductionThis study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy.Materials and MethodsA total of 364 individuals with diabetic peripheral neuropathy were enrolled in this study. Sensor‐based flash glucose monitoring systems were used to monitor the participants’ glucose levels, and the glycemic variability metrics were calculated, including the TIR, glucose coefficient of variation, standard deviation and the mean amplitude of glycemic excursions. The participants were asked to record any form of pain during the 2 weeks of monitoring, and score the pain every day on a numerical rating scale. Based on the numerical rating scale, the patients were divided into the pain‐free group, mild pain group and moderate/severe pain group.ResultsOverall, 51.92% (189/364) of the participants were diagnosed with painful diabetic neuropathy. Compared with the pain‐free group, the level of TIR decreased significantly in the mild pain and moderate/severe pain groups (P < 0.05). The prevalence of mild pain and moderate/severe pain decreased with increasing TIR quartiles (all P < 0.05). Multiple linear regression analysis showed that TIR was significantly negatively correlated with the numerical rating scale score after adjustment for glycated hemoglobin, glycemic variability indicators and other risk factors (P < 0.05). Logistic regression analysis showed that a decreasing level of TIR was significantly associated with an increasing risk of any pain and moderate/severe pain (P < 0.05).ConclusionsTIR is correlated with painful diabetic neuropathy and is underscored as a valuable clinical evaluation measure. Abstract Aims/Introduction This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy. Materials and Methods A total of 364 individuals with diabetic peripheral neuropathy were enrolled in this study. Sensor‐based flash glucose monitoring systems were used to monitor the participants’ glucose levels, and the glycemic variability metrics were calculated, including the TIR, glucose coefficient of variation, standard deviation and the mean amplitude of glycemic excursions. The participants were asked to record any form of pain during the 2 weeks of monitoring, and score the pain every day on a numerical rating scale. Based on the numerical rating scale, the patients were divided into the pain‐free group, mild pain group and moderate/severe pain group. Results Overall, 51.92% (189/364) of the participants were diagnosed with painful diabetic neuropathy. Compared with the pain‐free group, the level of TIR decreased significantly in the mild pain and moderate/severe pain groups (P < 0.05). The prevalence of mild pain and moderate/severe pain decreased with increasing TIR quartiles (all P < 0.05). Multiple linear regression analysis showed that TIR was significantly negatively correlated with the numerical rating scale score after adjustment for glycated hemoglobin, glycemic variability indicators and other risk factors (P < 0.05). Logistic regression analysis showed that a decreasing level of TIR was significantly associated with an increasing risk of any pain and moderate/severe pain (P < 0.05). Conclusions TIR is correlated with painful diabetic neuropathy and is underscored as a valuable clinical evaluation measure. This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy.AIMS/INTRODUCTIONThis study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy.A total of 364 individuals with diabetic peripheral neuropathy were enrolled in this study. Sensor-based flash glucose monitoring systems were used to monitor the participants' glucose levels, and the glycemic variability metrics were calculated, including the TIR, glucose coefficient of variation, standard deviation and the mean amplitude of glycemic excursions. The participants were asked to record any form of pain during the 2 weeks of monitoring, and score the pain every day on a numerical rating scale. Based on the numerical rating scale, the patients were divided into the pain-free group, mild pain group and moderate/severe pain group.MATERIALS AND METHODSA total of 364 individuals with diabetic peripheral neuropathy were enrolled in this study. Sensor-based flash glucose monitoring systems were used to monitor the participants' glucose levels, and the glycemic variability metrics were calculated, including the TIR, glucose coefficient of variation, standard deviation and the mean amplitude of glycemic excursions. The participants were asked to record any form of pain during the 2 weeks of monitoring, and score the pain every day on a numerical rating scale. Based on the numerical rating scale, the patients were divided into the pain-free group, mild pain group and moderate/severe pain group.Overall, 51.92% (189/364) of the participants were diagnosed with painful diabetic neuropathy. Compared with the pain-free group, the level of TIR decreased significantly in the mild pain and moderate/severe pain groups (P < 0.05). The prevalence of mild pain and moderate/severe pain decreased with increasing TIR quartiles (all P < 0.05). Multiple linear regression analysis showed that TIR was significantly negatively correlated with the numerical rating scale score after adjustment for glycated hemoglobin, glycemic variability indicators and other risk factors (P < 0.05). Logistic regression analysis showed that a decreasing level of TIR was significantly associated with an increasing risk of any pain and moderate/severe pain (P < 0.05).RESULTSOverall, 51.92% (189/364) of the participants were diagnosed with painful diabetic neuropathy. Compared with the pain-free group, the level of TIR decreased significantly in the mild pain and moderate/severe pain groups (P < 0.05). The prevalence of mild pain and moderate/severe pain decreased with increasing TIR quartiles (all P < 0.05). Multiple linear regression analysis showed that TIR was significantly negatively correlated with the numerical rating scale score after adjustment for glycated hemoglobin, glycemic variability indicators and other risk factors (P < 0.05). Logistic regression analysis showed that a decreasing level of TIR was significantly associated with an increasing risk of any pain and moderate/severe pain (P < 0.05).TIR is correlated with painful diabetic neuropathy and is underscored as a valuable clinical evaluation measure.CONCLUSIONSTIR is correlated with painful diabetic neuropathy and is underscored as a valuable clinical evaluation measure. Time in range is correlated with the degree of painful diabetic neuropathy independently of the glycated hemoglobin level, other glycemic variability metrics and risk factors among diabetes patients. Furthermore, time in range was a valuable clinical evaluation indicator for patients with diabetes. |
Author | Wei, Wei Yang, Junpeng Yuan, Huijuan Yang, Xueli Zhao, Dongni Wang, Xiaobing |
AuthorAffiliation | 2 Department of Finance Henan Provincial People’s Hospital People’s Hospital of Zhengzhou University Zhengzhou China 1 Department of Endocrinology Henan Provincial People’s Hospital People’s Hospital of Zhengzhou University Zhengzhou China |
AuthorAffiliation_xml | – name: 1 Department of Endocrinology Henan Provincial People’s Hospital People’s Hospital of Zhengzhou University Zhengzhou China – name: 2 Department of Finance Henan Provincial People’s Hospital People’s Hospital of Zhengzhou University Zhengzhou China |
Author_xml | – sequence: 1 givenname: Junpeng orcidid: 0000-0003-0902-1716 surname: Yang fullname: Yang, Junpeng organization: People’s Hospital of Zhengzhou University – sequence: 2 givenname: Xueli surname: Yang fullname: Yang, Xueli organization: People’s Hospital of Zhengzhou University – sequence: 3 givenname: Dongni surname: Zhao fullname: Zhao, Dongni organization: People’s Hospital of Zhengzhou University – sequence: 4 givenname: Xiaobing surname: Wang fullname: Wang, Xiaobing organization: People’s Hospital of Zhengzhou University – sequence: 5 givenname: Wei surname: Wei fullname: Wei, Wei organization: People’s Hospital of Zhengzhou University – sequence: 6 givenname: Huijuan orcidid: 0000-0002-0486-0994 surname: Yuan fullname: Yuan, Huijuan email: hjyuan@zzu.edu.cn organization: People’s Hospital of Zhengzhou University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32885597$$D View this record in MEDLINE/PubMed |
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Copyright | 2020 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd 2020 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd. 2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and... This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful... Aims/IntroductionThis study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and... Time in range is correlated with the degree of painful diabetic neuropathy independently of the glycated hemoglobin level, other glycemic variability metrics... Abstract Aims/Introduction This study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the... |
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SubjectTerms | Adult Age Blood Glucose - analysis Blood Glucose Self-Monitoring Body mass index Cholesterol Continuous glucose monitoring Creatinine Cross-Sectional Studies Diabetes Diabetes mellitus Diabetic Neuropathies - blood Diabetic Neuropathies - complications Diabetic neuropathy Diabetic retinopathy Disease Fasting Female Glucose Glucose monitoring Glycated Hemoglobin - analysis Glycemic Control - statistics & numerical data Hemoglobin Humans Male Middle Aged Neuralgia - blood Neuralgia - epidemiology Neuralgia - etiology Normal distribution Original Pain Pain Measurement Painful diabetic neuropathy Patients Peptides Peripheral neuropathy Polyneuropathy Prevalence Regression analysis Risk Factors Sensors Severity of Illness Index Time Factors Time in range |
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Title | Association of time in range, as assessed by continuous glucose monitoring, with painful diabetic polyneuropathy |
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