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Impacts of glycemic variability on the relationship between glucose management indicator from iPro(™)2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus

AIMS: Our aim was to investigate the impact of glycemic variability (GV) on the relationship between glucose management indicator (GMI) and laboratory glycated hemoglobin A1c (HbA1c). METHODS: Adult patients with type 1 diabetes mellitus (T1D) were enrolled from five hospitals in China. All subjects...

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Autores principales: Liu, Hongxia, Yang, Daizhi, Deng, Hongrong, Xu, Wen, Lv, Jing, Zhou, Yongwen, Luo, Sihui, Zheng, Xueying, Liang, Hua, Yao, Bin, Qiu, Liling, Wang, Funeng, Liu, Fang, Yan, Jinhua, Weng, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281639/
https://www.ncbi.nlm.nih.gov/pubmed/32551036
http://dx.doi.org/10.1177/2042018820931664
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author Liu, Hongxia
Yang, Daizhi
Deng, Hongrong
Xu, Wen
Lv, Jing
Zhou, Yongwen
Luo, Sihui
Zheng, Xueying
Liang, Hua
Yao, Bin
Qiu, Liling
Wang, Funeng
Liu, Fang
Yan, Jinhua
Weng, Jianping
author_facet Liu, Hongxia
Yang, Daizhi
Deng, Hongrong
Xu, Wen
Lv, Jing
Zhou, Yongwen
Luo, Sihui
Zheng, Xueying
Liang, Hua
Yao, Bin
Qiu, Liling
Wang, Funeng
Liu, Fang
Yan, Jinhua
Weng, Jianping
author_sort Liu, Hongxia
collection PubMed
description AIMS: Our aim was to investigate the impact of glycemic variability (GV) on the relationship between glucose management indicator (GMI) and laboratory glycated hemoglobin A1c (HbA1c). METHODS: Adult patients with type 1 diabetes mellitus (T1D) were enrolled from five hospitals in China. All subjects wore the iPro(™)2 system for 14 days before HbA1c was measured at baseline, 3 months and 6 months. Data derived from iPro(™)2 sensor was used to calculate GMI and GV parameters [standard deviation (SD), glucose coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE)]. Differences between GMI and laboratory HbA1c were assessed by the absolute value of the hemoglobin glycation index (HGI). RESULTS: A total of 91 sensor data and corresponding laboratory HbA1c, as well as demographic and clinical characteristics were analyzed. GMI and HbA1c were 7.20 ± 0.67% and 7.52 ± 0.73%, respectively. The percentage of subjects with absolute HGI 0 to lower than 0.1% was 21%. GMI was significantly associated with laboratory HbA1c after basic adjustment (standardized β = 0.83, p < 0.001). Further adjustment for SD or MAGE reduced the standardized β for laboratory HbA1c from 0.83 to 0.71 and 0.73, respectively (both p < 0.001). In contrast, the β remained relatively constant when further adjusting for CV. Spearman correlation analysis showed that GMI and laboratory HbA1c were correlated for each quartile of SD and MAGE (all p < 0.05), with the corresponding correlation coefficients decreased across ascending quartiles. CONCLUSIONS: This study validated the GMI formula using the iPro(™)2 sensor in adult patients with T1D. GV influenced the relationship between GMI and laboratory HbA1c.
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spelling pubmed-72816392020-06-17 Impacts of glycemic variability on the relationship between glucose management indicator from iPro(™)2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus Liu, Hongxia Yang, Daizhi Deng, Hongrong Xu, Wen Lv, Jing Zhou, Yongwen Luo, Sihui Zheng, Xueying Liang, Hua Yao, Bin Qiu, Liling Wang, Funeng Liu, Fang Yan, Jinhua Weng, Jianping Ther Adv Endocrinol Metab Original Research AIMS: Our aim was to investigate the impact of glycemic variability (GV) on the relationship between glucose management indicator (GMI) and laboratory glycated hemoglobin A1c (HbA1c). METHODS: Adult patients with type 1 diabetes mellitus (T1D) were enrolled from five hospitals in China. All subjects wore the iPro(™)2 system for 14 days before HbA1c was measured at baseline, 3 months and 6 months. Data derived from iPro(™)2 sensor was used to calculate GMI and GV parameters [standard deviation (SD), glucose coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE)]. Differences between GMI and laboratory HbA1c were assessed by the absolute value of the hemoglobin glycation index (HGI). RESULTS: A total of 91 sensor data and corresponding laboratory HbA1c, as well as demographic and clinical characteristics were analyzed. GMI and HbA1c were 7.20 ± 0.67% and 7.52 ± 0.73%, respectively. The percentage of subjects with absolute HGI 0 to lower than 0.1% was 21%. GMI was significantly associated with laboratory HbA1c after basic adjustment (standardized β = 0.83, p < 0.001). Further adjustment for SD or MAGE reduced the standardized β for laboratory HbA1c from 0.83 to 0.71 and 0.73, respectively (both p < 0.001). In contrast, the β remained relatively constant when further adjusting for CV. Spearman correlation analysis showed that GMI and laboratory HbA1c were correlated for each quartile of SD and MAGE (all p < 0.05), with the corresponding correlation coefficients decreased across ascending quartiles. CONCLUSIONS: This study validated the GMI formula using the iPro(™)2 sensor in adult patients with T1D. GV influenced the relationship between GMI and laboratory HbA1c. SAGE Publications 2020-06-08 /pmc/articles/PMC7281639/ /pubmed/32551036 http://dx.doi.org/10.1177/2042018820931664 Text en © The Author(s), 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Liu, Hongxia
Yang, Daizhi
Deng, Hongrong
Xu, Wen
Lv, Jing
Zhou, Yongwen
Luo, Sihui
Zheng, Xueying
Liang, Hua
Yao, Bin
Qiu, Liling
Wang, Funeng
Liu, Fang
Yan, Jinhua
Weng, Jianping
Impacts of glycemic variability on the relationship between glucose management indicator from iPro(™)2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus
title Impacts of glycemic variability on the relationship between glucose management indicator from iPro(™)2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus
title_full Impacts of glycemic variability on the relationship between glucose management indicator from iPro(™)2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus
title_fullStr Impacts of glycemic variability on the relationship between glucose management indicator from iPro(™)2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus
title_full_unstemmed Impacts of glycemic variability on the relationship between glucose management indicator from iPro(™)2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus
title_short Impacts of glycemic variability on the relationship between glucose management indicator from iPro(™)2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus
title_sort impacts of glycemic variability on the relationship between glucose management indicator from ipro(™)2 and laboratory hemoglobin a1c in adult patients with type 1 diabetes mellitus
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281639/
https://www.ncbi.nlm.nih.gov/pubmed/32551036
http://dx.doi.org/10.1177/2042018820931664
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