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 inJournal of diabetes investigation Vol. 12; no. 5; pp. 828 - 836
Main Authors Yang, Junpeng, Yang, Xueli, Zhao, Dongni, Wang, Xiaobing, Wei, Wei, Yuan, Huijuan
Format Journal Article
LanguageEnglish
Published Japan John Wiley & Sons, Inc 01.05.2021
John Wiley and Sons Inc
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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.
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
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  fullname: Yang, Junpeng
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  givenname: Xueli
  surname: Yang
  fullname: Yang, Xueli
  organization: People’s Hospital of Zhengzhou University
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  givenname: Dongni
  surname: Zhao
  fullname: Zhao, Dongni
  organization: People’s Hospital of Zhengzhou University
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  givenname: Xiaobing
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  surname: Yuan
  fullname: Yuan, Huijuan
  email: hjyuan@zzu.edu.cn
  organization: People’s Hospital of Zhengzhou University
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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
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Keywords Continuous glucose monitoring
Painful diabetic neuropathy
Time in range
Language English
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2020 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.
This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
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John Wiley and Sons Inc
Wiley
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Snippet Aims/Introduction 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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StartPage 828
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
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fjdi.13394
https://www.ncbi.nlm.nih.gov/pubmed/32885597
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Volume 12
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