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Increased Glycemic Variability Evaluated by Continuous Glucose Monitoring is Associated with Osteoporosis in Type 2 Diabetic Patients

BACKGROUND: Subjects with type 2 diabetes mellitus (T2DM) are susceptible to osteoporosis. This study was conducted to evaluate the association between glycemic variability evaluated by continuous glucose monitoring (CGM) and osteoporosis in type 2 diabetic patient. METHODS: A total of 362 type 2 di...

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Autores principales: Huang, Rong, Wang, Huiying, Shen, Ziyang, Cai, Tingting, Zhou, Yunting, Wang, Yuming, Xia, Wenqing, Ding, Bo, Yan, Rengna, Li, Huiqin, Wu, Jindan, Ma, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207512/
https://www.ncbi.nlm.nih.gov/pubmed/35733774
http://dx.doi.org/10.3389/fendo.2022.861131
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author Huang, Rong
Wang, Huiying
Shen, Ziyang
Cai, Tingting
Zhou, Yunting
Wang, Yuming
Xia, Wenqing
Ding, Bo
Yan, Rengna
Li, Huiqin
Wu, Jindan
Ma, Jianhua
author_facet Huang, Rong
Wang, Huiying
Shen, Ziyang
Cai, Tingting
Zhou, Yunting
Wang, Yuming
Xia, Wenqing
Ding, Bo
Yan, Rengna
Li, Huiqin
Wu, Jindan
Ma, Jianhua
author_sort Huang, Rong
collection PubMed
description BACKGROUND: Subjects with type 2 diabetes mellitus (T2DM) are susceptible to osteoporosis. This study was conducted to evaluate the association between glycemic variability evaluated by continuous glucose monitoring (CGM) and osteoporosis in type 2 diabetic patient. METHODS: A total of 362 type 2 diabetic subjects who underwent bone mineral density (BMD) measurement and were monitored by a CGM system from Jan 2019 to May 2020 were enrolled in this cross-sectional study. Glycemic variability was calculated with the Easy GV software, including 24-hour mean blood glucose (24-h MBG), the standard deviation of 24-h MBG (SDBG), coefficient of variation (CV), mean amplitude of glycemic excursions (MAGE), and time in range between 3.9 and 10.0 mmol/L (TIR). Other potential influence factors for osteoporosis were also examined. RESULTS: Based on the T-scores of BMD measurement, there were 190 patients with normal bone mass, 132 patients with osteopenia and 40 patients with osteoporosis. T2DM patients with osteoporosis showed a higher 24-h MBG, SDBG, CV, and MAGE, but a lower TIR (all p < 0.05). Multivariate logistic regression analysis revealed that age, female gender, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), serum uric acid (SUA) and MAGE independently contribute to osteoporosis, and corresponding odds ratio [95% confidence interval (CI)] was 1.129 (1.072-1.190), 4.215 (1.613-11.012), 0.801 (0.712-0.901), 2.743 (1.385-5.431), 0.993 (0.988-0.999), and 1.380 (1.026-1.857), respectively. Further receiver operating characteristic analysis with Youden index indicated that the area under the curve and its 95% CI were 0.673 and 0.604-0.742, with the optimal cut-off value of MAGE predicting osteoporosis being 4.31 mmol/L. CONCLUSION: In addition to conventional influence factors including age, female gender, BMI, LDL-C and SUA, increased glycemic variability assessed by MAGE is associated with osteoporosis in type 2 diabetic patients.
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spelling pubmed-92075122022-06-21 Increased Glycemic Variability Evaluated by Continuous Glucose Monitoring is Associated with Osteoporosis in Type 2 Diabetic Patients Huang, Rong Wang, Huiying Shen, Ziyang Cai, Tingting Zhou, Yunting Wang, Yuming Xia, Wenqing Ding, Bo Yan, Rengna Li, Huiqin Wu, Jindan Ma, Jianhua Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Subjects with type 2 diabetes mellitus (T2DM) are susceptible to osteoporosis. This study was conducted to evaluate the association between glycemic variability evaluated by continuous glucose monitoring (CGM) and osteoporosis in type 2 diabetic patient. METHODS: A total of 362 type 2 diabetic subjects who underwent bone mineral density (BMD) measurement and were monitored by a CGM system from Jan 2019 to May 2020 were enrolled in this cross-sectional study. Glycemic variability was calculated with the Easy GV software, including 24-hour mean blood glucose (24-h MBG), the standard deviation of 24-h MBG (SDBG), coefficient of variation (CV), mean amplitude of glycemic excursions (MAGE), and time in range between 3.9 and 10.0 mmol/L (TIR). Other potential influence factors for osteoporosis were also examined. RESULTS: Based on the T-scores of BMD measurement, there were 190 patients with normal bone mass, 132 patients with osteopenia and 40 patients with osteoporosis. T2DM patients with osteoporosis showed a higher 24-h MBG, SDBG, CV, and MAGE, but a lower TIR (all p < 0.05). Multivariate logistic regression analysis revealed that age, female gender, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), serum uric acid (SUA) and MAGE independently contribute to osteoporosis, and corresponding odds ratio [95% confidence interval (CI)] was 1.129 (1.072-1.190), 4.215 (1.613-11.012), 0.801 (0.712-0.901), 2.743 (1.385-5.431), 0.993 (0.988-0.999), and 1.380 (1.026-1.857), respectively. Further receiver operating characteristic analysis with Youden index indicated that the area under the curve and its 95% CI were 0.673 and 0.604-0.742, with the optimal cut-off value of MAGE predicting osteoporosis being 4.31 mmol/L. CONCLUSION: In addition to conventional influence factors including age, female gender, BMI, LDL-C and SUA, increased glycemic variability assessed by MAGE is associated with osteoporosis in type 2 diabetic patients. Frontiers Media S.A. 2022-06-06 /pmc/articles/PMC9207512/ /pubmed/35733774 http://dx.doi.org/10.3389/fendo.2022.861131 Text en Copyright © 2022 Huang, Wang, Shen, Cai, Zhou, Wang, Xia, Ding, Yan, Li, Wu and Ma https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Huang, Rong
Wang, Huiying
Shen, Ziyang
Cai, Tingting
Zhou, Yunting
Wang, Yuming
Xia, Wenqing
Ding, Bo
Yan, Rengna
Li, Huiqin
Wu, Jindan
Ma, Jianhua
Increased Glycemic Variability Evaluated by Continuous Glucose Monitoring is Associated with Osteoporosis in Type 2 Diabetic Patients
title Increased Glycemic Variability Evaluated by Continuous Glucose Monitoring is Associated with Osteoporosis in Type 2 Diabetic Patients
title_full Increased Glycemic Variability Evaluated by Continuous Glucose Monitoring is Associated with Osteoporosis in Type 2 Diabetic Patients
title_fullStr Increased Glycemic Variability Evaluated by Continuous Glucose Monitoring is Associated with Osteoporosis in Type 2 Diabetic Patients
title_full_unstemmed Increased Glycemic Variability Evaluated by Continuous Glucose Monitoring is Associated with Osteoporosis in Type 2 Diabetic Patients
title_short Increased Glycemic Variability Evaluated by Continuous Glucose Monitoring is Associated with Osteoporosis in Type 2 Diabetic Patients
title_sort increased glycemic variability evaluated by continuous glucose monitoring is associated with osteoporosis in type 2 diabetic patients
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207512/
https://www.ncbi.nlm.nih.gov/pubmed/35733774
http://dx.doi.org/10.3389/fendo.2022.861131
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