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Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes

INTRODUCTION: As a CGM-derived indicator, ‘time in range’ (TIR) is emerging as a key indicator for accurate assessment of glycaemic control. However, there is few report focusing on the correlation of TIR with albumuria and renal fuction. The aim of this work was to investigate whether TIR, as well...

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Autores principales: Jin, Xuguang, Yang, Xinyi, Xu, Yixin, Liang, Jingjing, Liu, Chunyan, Guo, Qingyu, Wang, Wei, Feng, Zhouqin, Yuan, Yanyu, Zhou, Hui, Zhang, Zhen, Jiang, Wenwen, Liang, Yue, Lu, Bin, Shao, Jiaqing, Zhong, Yong, Gu, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311716/
https://www.ncbi.nlm.nih.gov/pubmed/37386515
http://dx.doi.org/10.1186/s13098-023-01071-4
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author Jin, Xuguang
Yang, Xinyi
Xu, Yixin
Liang, Jingjing
Liu, Chunyan
Guo, Qingyu
Wang, Wei
Feng, Zhouqin
Yuan, Yanyu
Zhou, Hui
Zhang, Zhen
Jiang, Wenwen
Liang, Yue
Lu, Bin
Shao, Jiaqing
Zhong, Yong
Gu, Ping
author_facet Jin, Xuguang
Yang, Xinyi
Xu, Yixin
Liang, Jingjing
Liu, Chunyan
Guo, Qingyu
Wang, Wei
Feng, Zhouqin
Yuan, Yanyu
Zhou, Hui
Zhang, Zhen
Jiang, Wenwen
Liang, Yue
Lu, Bin
Shao, Jiaqing
Zhong, Yong
Gu, Ping
author_sort Jin, Xuguang
collection PubMed
description INTRODUCTION: As a CGM-derived indicator, ‘time in range’ (TIR) is emerging as a key indicator for accurate assessment of glycaemic control. However, there is few report focusing on the correlation of TIR with albumuria and renal fuction. The aim of this work was to investigate whether TIR, as well as nocturnal TIR and hypoglycaemic events is related to the presence and severity of albuminuria and decrease of eGFR in type 2 diabetes. RESEARCH DESIGN AND METHODS: A total of 823 patients were enrolled in this study. All patients received continuous glucose monitoring, TIR indicating the percentage of time that blood glucose was in the range of 3.9–10.0 mmol/L. The Spearman analysis was applied to analyze the relationship between TIR (or nocturnal TIR) and ACR. Logistic regression was used to explore whether TIR (or nocturnal TIR) is an independent risk factor for albuminuria. RESULTS: The prevalence of albuminuria decreased with increasing TIR quartiles. Binary logistic regression revealed that TIR as well as nocturnal TIR was obviously related to the presence of albuminuria. Multiple regression analysis found that only nocturnal TIR was obviously related to the severity of albuminuria. In our study, eGFR was significantly associated with the number of hypoglycemic events. CONCLUSIONS: In T2DM patients, TIR and nocturnal TIR is associated with the presence of albuminuria independent of HbA1c and GV metrics. Nocturnal TIR shows better correlation than TIR. The role of TIR especially nocturnal TIR in the evaluation of diabetes kidney disease should be emphasized.
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spelling pubmed-103117162023-07-01 Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes Jin, Xuguang Yang, Xinyi Xu, Yixin Liang, Jingjing Liu, Chunyan Guo, Qingyu Wang, Wei Feng, Zhouqin Yuan, Yanyu Zhou, Hui Zhang, Zhen Jiang, Wenwen Liang, Yue Lu, Bin Shao, Jiaqing Zhong, Yong Gu, Ping Diabetol Metab Syndr Research INTRODUCTION: As a CGM-derived indicator, ‘time in range’ (TIR) is emerging as a key indicator for accurate assessment of glycaemic control. However, there is few report focusing on the correlation of TIR with albumuria and renal fuction. The aim of this work was to investigate whether TIR, as well as nocturnal TIR and hypoglycaemic events is related to the presence and severity of albuminuria and decrease of eGFR in type 2 diabetes. RESEARCH DESIGN AND METHODS: A total of 823 patients were enrolled in this study. All patients received continuous glucose monitoring, TIR indicating the percentage of time that blood glucose was in the range of 3.9–10.0 mmol/L. The Spearman analysis was applied to analyze the relationship between TIR (or nocturnal TIR) and ACR. Logistic regression was used to explore whether TIR (or nocturnal TIR) is an independent risk factor for albuminuria. RESULTS: The prevalence of albuminuria decreased with increasing TIR quartiles. Binary logistic regression revealed that TIR as well as nocturnal TIR was obviously related to the presence of albuminuria. Multiple regression analysis found that only nocturnal TIR was obviously related to the severity of albuminuria. In our study, eGFR was significantly associated with the number of hypoglycemic events. CONCLUSIONS: In T2DM patients, TIR and nocturnal TIR is associated with the presence of albuminuria independent of HbA1c and GV metrics. Nocturnal TIR shows better correlation than TIR. The role of TIR especially nocturnal TIR in the evaluation of diabetes kidney disease should be emphasized. BioMed Central 2023-05-05 /pmc/articles/PMC10311716/ /pubmed/37386515 http://dx.doi.org/10.1186/s13098-023-01071-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Jin, Xuguang
Yang, Xinyi
Xu, Yixin
Liang, Jingjing
Liu, Chunyan
Guo, Qingyu
Wang, Wei
Feng, Zhouqin
Yuan, Yanyu
Zhou, Hui
Zhang, Zhen
Jiang, Wenwen
Liang, Yue
Lu, Bin
Shao, Jiaqing
Zhong, Yong
Gu, Ping
Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes
title Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes
title_full Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes
title_fullStr Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes
title_full_unstemmed Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes
title_short Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes
title_sort differential correlation between time in range and egfr or albuminuria in type 2 diabetes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311716/
https://www.ncbi.nlm.nih.gov/pubmed/37386515
http://dx.doi.org/10.1186/s13098-023-01071-4
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