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Glycemic dispersion: a new index for screening high glycemic variability

OBJECTIVE: For patients with diabetes, high-frequency and -amplitude glycemic variability may be more harmful than continuous hyperglycemia; however, there is still a lack of screening indicators that can quickly and easily assess the level of glycemic variability. The aim of this study was to inves...

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Autores principales: Shi, Rui, Feng, Lei, Liu, Yan-Mei, Xu, Wen-Bo, Luo, Bei-Bei, Tang, Ling-Tong, Bi, Qian-Ye, Cao, Hui-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169464/
https://www.ncbi.nlm.nih.gov/pubmed/37158980
http://dx.doi.org/10.1186/s13098-023-01077-y
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author Shi, Rui
Feng, Lei
Liu, Yan-Mei
Xu, Wen-Bo
Luo, Bei-Bei
Tang, Ling-Tong
Bi, Qian-Ye
Cao, Hui-Ying
author_facet Shi, Rui
Feng, Lei
Liu, Yan-Mei
Xu, Wen-Bo
Luo, Bei-Bei
Tang, Ling-Tong
Bi, Qian-Ye
Cao, Hui-Ying
author_sort Shi, Rui
collection PubMed
description OBJECTIVE: For patients with diabetes, high-frequency and -amplitude glycemic variability may be more harmful than continuous hyperglycemia; however, there is still a lack of screening indicators that can quickly and easily assess the level of glycemic variability. The aim of this study was to investigate whether the glycemic dispersion index is effective for screening high glycemic variability. METHODS: A total of 170 diabetes patients hospitalized in the Sixth Affiliated Hospital of Kunming Medical University were included in this study. After admission, the fasting plasma glucose, 2-hour postprandial plasma glucose, and glycosylated hemoglobin A1c were measured. The peripheral capillary blood glucose was measured seven times in 24 h, before and after each of three meals and before bedtime. The standard deviation of the seven peripheral blood glucose values was calculated, and a standard deviation of > 2.0 was used as the threshold of high glycemic variability. The glycemic dispersion index was calculated and its diagnostic efficacy for high glycemic variability was determined by the Mann–Whitney U test, receiver operating characteristic (ROC) curve and, Pearson correlation analysis. RESULTS: The glycemic dispersion index of patients with high glycemic variability was significantly higher than that of those with low glycemic variability (p < 0.01). The best cutoff value of the glycemic dispersion index for screening high glycemic variability was 4.21. The area under the curve (AUC) was 0.901 (95% CI: 0.856–0.945) and had a sensitivity of 0.781 and specificity of 0.905. It was correlated with the standard deviation of blood glucose values (r = 0.813, p < 0.01). CONCLUSIONS: The glycemic dispersion index had good sensitivity and specificity for screening high glycemic variability. It was significantly associated with the standard deviation of blood glucose concentration and is simple and easy to calculate. It was an effective screening indicator of high glycemic variability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01077-y.
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spelling pubmed-101694642023-05-11 Glycemic dispersion: a new index for screening high glycemic variability Shi, Rui Feng, Lei Liu, Yan-Mei Xu, Wen-Bo Luo, Bei-Bei Tang, Ling-Tong Bi, Qian-Ye Cao, Hui-Ying Diabetol Metab Syndr Research OBJECTIVE: For patients with diabetes, high-frequency and -amplitude glycemic variability may be more harmful than continuous hyperglycemia; however, there is still a lack of screening indicators that can quickly and easily assess the level of glycemic variability. The aim of this study was to investigate whether the glycemic dispersion index is effective for screening high glycemic variability. METHODS: A total of 170 diabetes patients hospitalized in the Sixth Affiliated Hospital of Kunming Medical University were included in this study. After admission, the fasting plasma glucose, 2-hour postprandial plasma glucose, and glycosylated hemoglobin A1c were measured. The peripheral capillary blood glucose was measured seven times in 24 h, before and after each of three meals and before bedtime. The standard deviation of the seven peripheral blood glucose values was calculated, and a standard deviation of > 2.0 was used as the threshold of high glycemic variability. The glycemic dispersion index was calculated and its diagnostic efficacy for high glycemic variability was determined by the Mann–Whitney U test, receiver operating characteristic (ROC) curve and, Pearson correlation analysis. RESULTS: The glycemic dispersion index of patients with high glycemic variability was significantly higher than that of those with low glycemic variability (p < 0.01). The best cutoff value of the glycemic dispersion index for screening high glycemic variability was 4.21. The area under the curve (AUC) was 0.901 (95% CI: 0.856–0.945) and had a sensitivity of 0.781 and specificity of 0.905. It was correlated with the standard deviation of blood glucose values (r = 0.813, p < 0.01). CONCLUSIONS: The glycemic dispersion index had good sensitivity and specificity for screening high glycemic variability. It was significantly associated with the standard deviation of blood glucose concentration and is simple and easy to calculate. It was an effective screening indicator of high glycemic variability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01077-y. BioMed Central 2023-05-09 /pmc/articles/PMC10169464/ /pubmed/37158980 http://dx.doi.org/10.1186/s13098-023-01077-y 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
Shi, Rui
Feng, Lei
Liu, Yan-Mei
Xu, Wen-Bo
Luo, Bei-Bei
Tang, Ling-Tong
Bi, Qian-Ye
Cao, Hui-Ying
Glycemic dispersion: a new index for screening high glycemic variability
title Glycemic dispersion: a new index for screening high glycemic variability
title_full Glycemic dispersion: a new index for screening high glycemic variability
title_fullStr Glycemic dispersion: a new index for screening high glycemic variability
title_full_unstemmed Glycemic dispersion: a new index for screening high glycemic variability
title_short Glycemic dispersion: a new index for screening high glycemic variability
title_sort glycemic dispersion: a new index for screening high glycemic variability
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169464/
https://www.ncbi.nlm.nih.gov/pubmed/37158980
http://dx.doi.org/10.1186/s13098-023-01077-y
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