Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes
Abstract Aims/Introduction To define the target value for the percentage coefficient of variation for glucose (%CV) as a measure of glycemic variability (GV) in Chinese diabetes patients. Materials and Methods This retrospective study included 3,007 diabetes patients who underwent continuous glucose...
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Wiley
2021-06-01
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Series: | Journal of Diabetes Investigation |
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Online Access: | https://doi.org/10.1111/jdi.13453 |
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doaj-4895f4512a4b47dab2e3f4d3f24f4ffd |
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record_format |
Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yifei Mo Xiaojing Ma Jingyi Lu Yun Shen Yufei Wang Lei Zhang Wei Lu Wei Zhu Yuqian Bao Jian Zhou |
spellingShingle |
Yifei Mo Xiaojing Ma Jingyi Lu Yun Shen Yufei Wang Lei Zhang Wei Lu Wei Zhu Yuqian Bao Jian Zhou Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes Journal of Diabetes Investigation Coefficient of variation Continuous glucose monitoring Glycemic variability |
author_facet |
Yifei Mo Xiaojing Ma Jingyi Lu Yun Shen Yufei Wang Lei Zhang Wei Lu Wei Zhu Yuqian Bao Jian Zhou |
author_sort |
Yifei Mo |
title |
Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes |
title_short |
Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes |
title_full |
Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes |
title_fullStr |
Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes |
title_full_unstemmed |
Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes |
title_sort |
defining the target value of the coefficient of variation by continuous glucose monitoring in chinese people with diabetes |
publisher |
Wiley |
series |
Journal of Diabetes Investigation |
issn |
2040-1116 2040-1124 |
publishDate |
2021-06-01 |
description |
Abstract Aims/Introduction To define the target value for the percentage coefficient of variation for glucose (%CV) as a measure of glycemic variability (GV) in Chinese diabetes patients. Materials and Methods This retrospective study included 3,007 diabetes patients who underwent continuous glucose monitoring for 3 days. Type 2 diabetes was divided into groups according to the received treatment: group 1, non‐insulinotropic agent (n = 138); group 2, insulinotropic agent (n = 761); group 3, basal insulin therapy (n = 100); group 4, premixed insulin (n = 784); and group 5, intensive insulin therapy (n = 612). Type 1 diabetes patients were included as group 6 (n = 612). %CV and percentage of time per day within, below (3.9mmol/L; TBR3.9) and above (10.0 mmol/L) the target glucose range (3.9–10.0 mmol/L) were computed. TBR3.9 ≥4% was defined as excessive hypoglycemia. Results Type 2 diabetes with a premixed or intensive insulin regimen had an increased %CV compared with those receiving oral therapy or basal insulin. The upper limit of %CV in group 1 was 33%, which was adopted as the threshold to define excessive GV. For each treatment group, the percentage of people with TBR3.9 ≥4% was significantly greater in the subgroup with %CV >33% than ≤33% (P < 0.001). In participants who achieved TBR3.9 <4%, the time per day spent within the target glucose range of 3.9–10.0 mmol/L > 70% and time per day above 10.0 mmol/L <25%, the 95th percentile of %CV was 32.70%. Further receiver operating characteristic curve analysis showed that the cut‐off values of %CV for predicting TBR3.9 ≥4% varied by the type of diabetes and glycated hemoglobin categories. Conclusions A %CV of 33% was set as the threshold for excess glucose variability in Chinese diabetes patients. Meanwhile, glycated hemoglobin and the type of diabetes should be considered for the goal‐setting of %CV. |
topic |
Coefficient of variation Continuous glucose monitoring Glycemic variability |
url |
https://doi.org/10.1111/jdi.13453 |
work_keys_str_mv |
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spelling |
doaj-4895f4512a4b47dab2e3f4d3f24f4ffd2021-06-02T01:02:41ZengWileyJournal of Diabetes Investigation2040-11162040-11242021-06-011261025103410.1111/jdi.13453Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetesYifei Mo0Xiaojing Ma1Jingyi Lu2Yun Shen3Yufei Wang4Lei Zhang5Wei Lu6Wei Zhu7Yuqian Bao8Jian Zhou9Department of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaDepartment of Endocrinology and Metabolism Shanghai Clinical Center for Diabetes Shanghai Key Clinical Center for Metabolic Disease Shanghai Diabetes Institute Shanghai Key Laboratory of Diabetes Mellitus Shanghai Jiao Tong University Affiliated Sixth People’s Hospital Shanghai ChinaAbstract Aims/Introduction To define the target value for the percentage coefficient of variation for glucose (%CV) as a measure of glycemic variability (GV) in Chinese diabetes patients. Materials and Methods This retrospective study included 3,007 diabetes patients who underwent continuous glucose monitoring for 3 days. Type 2 diabetes was divided into groups according to the received treatment: group 1, non‐insulinotropic agent (n = 138); group 2, insulinotropic agent (n = 761); group 3, basal insulin therapy (n = 100); group 4, premixed insulin (n = 784); and group 5, intensive insulin therapy (n = 612). Type 1 diabetes patients were included as group 6 (n = 612). %CV and percentage of time per day within, below (3.9mmol/L; TBR3.9) and above (10.0 mmol/L) the target glucose range (3.9–10.0 mmol/L) were computed. TBR3.9 ≥4% was defined as excessive hypoglycemia. Results Type 2 diabetes with a premixed or intensive insulin regimen had an increased %CV compared with those receiving oral therapy or basal insulin. The upper limit of %CV in group 1 was 33%, which was adopted as the threshold to define excessive GV. For each treatment group, the percentage of people with TBR3.9 ≥4% was significantly greater in the subgroup with %CV >33% than ≤33% (P < 0.001). In participants who achieved TBR3.9 <4%, the time per day spent within the target glucose range of 3.9–10.0 mmol/L > 70% and time per day above 10.0 mmol/L <25%, the 95th percentile of %CV was 32.70%. Further receiver operating characteristic curve analysis showed that the cut‐off values of %CV for predicting TBR3.9 ≥4% varied by the type of diabetes and glycated hemoglobin categories. Conclusions A %CV of 33% was set as the threshold for excess glucose variability in Chinese diabetes patients. Meanwhile, glycated hemoglobin and the type of diabetes should be considered for the goal‐setting of %CV.https://doi.org/10.1111/jdi.13453Coefficient of variationContinuous glucose monitoringGlycemic variability |