Cargando…

Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes

To explore the relationship of glycemic variability with lower extremity arterial disease (LEAD) and diabetic peripheral neuropathy (DPN). Seventy-eight patients with type 2 diabetes were enrolled. All patients underwent 72-hour dynamic blood glucose monitoring and obtained mean amplitude of glycemi...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Chuangbiao, Tang, Meili, Lu, Xiaohua, Zhou, Yan, Zhao, Wane, Liu, Yu, Liu, Yan, Guo, Xiujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7220673/
https://www.ncbi.nlm.nih.gov/pubmed/32195933
http://dx.doi.org/10.1097/MD.0000000000019374
_version_ 1783533215647006720
author Zhang, Chuangbiao
Tang, Meili
Lu, Xiaohua
Zhou, Yan
Zhao, Wane
Liu, Yu
Liu, Yan
Guo, Xiujie
author_facet Zhang, Chuangbiao
Tang, Meili
Lu, Xiaohua
Zhou, Yan
Zhao, Wane
Liu, Yu
Liu, Yan
Guo, Xiujie
author_sort Zhang, Chuangbiao
collection PubMed
description To explore the relationship of glycemic variability with lower extremity arterial disease (LEAD) and diabetic peripheral neuropathy (DPN). Seventy-eight patients with type 2 diabetes were enrolled. All patients underwent 72-hour dynamic blood glucose monitoring and obtained mean amplitude of glycemic excursions (MAGE), mean of daily differences (MODD), standard deviation of blood glucose (SD), largest amplitude of glycemic excursion (LAGE), mean blood glucose (MBG), T≥10.0 (percentage of time for blood glucose levels ≥10.0 mmol/L), T≤3.9 (percentage of time for blood glucose levels ≤3.9 mmol/L), and other glycemic variability parameters. In the meanwhile, in order to explore the correlation of glycemic variability parameters with ankle-brachial index (ABI), vibration perception threshold (VPT), and current perception threshold (CPT), all patients underwent quantitative diabetic foot screening, including ABI for quantitative assessment of lower extremity arterial lesions and VPT and CPT for quantitative assessment of peripheral neuropathy. Patients were divided into abnormal CPT group (n = 21) and normal CPT group (n = 57) according to the CPT values. Compared with the normal CPT group, abnormal CPT group showed significantly higher levels of HbA(1c), longer duration of diabetes, and higher levels of T≤3.9 (P < .05). However, there was no significant difference of MAGE, SD, LAGE, MODD, and other glycemic variability parameters between abnormal CPT group and normal CPT group (P > .05). Pearson correlation analysis or Spearman correlation analysis showed that ABI negatively correlated with MBG, T≥10.0, SD, LAGE, and MAGE (P < .05), but no correlation of ABI with T≤3.9 and MODD (P > .05) was shown. VPT showed a positive correlation with T≥10.0 (P < .05), but no correlation with other glycemic variability parameters (P > .05). There was no correlation between the other CPT values and the glycemic variability parameters (P > .05), except that the left and right 250 Hz CPT values were positively correlated with T≤3.9 (P > .05). The higher the blood glucose levels, the severer the degree of LEAD and DPN lesions; the higher the incidence of hypoglycemia, the severer the degree of DPN lesions; the greater the fluctuation of blood glucose, the severer the degree of LEAD lesions. However, the glycemic variability was not significantly correlated with DPN.
format Online
Article
Text
id pubmed-7220673
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-72206732020-06-15 Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes Zhang, Chuangbiao Tang, Meili Lu, Xiaohua Zhou, Yan Zhao, Wane Liu, Yu Liu, Yan Guo, Xiujie Medicine (Baltimore) 4300 To explore the relationship of glycemic variability with lower extremity arterial disease (LEAD) and diabetic peripheral neuropathy (DPN). Seventy-eight patients with type 2 diabetes were enrolled. All patients underwent 72-hour dynamic blood glucose monitoring and obtained mean amplitude of glycemic excursions (MAGE), mean of daily differences (MODD), standard deviation of blood glucose (SD), largest amplitude of glycemic excursion (LAGE), mean blood glucose (MBG), T≥10.0 (percentage of time for blood glucose levels ≥10.0 mmol/L), T≤3.9 (percentage of time for blood glucose levels ≤3.9 mmol/L), and other glycemic variability parameters. In the meanwhile, in order to explore the correlation of glycemic variability parameters with ankle-brachial index (ABI), vibration perception threshold (VPT), and current perception threshold (CPT), all patients underwent quantitative diabetic foot screening, including ABI for quantitative assessment of lower extremity arterial lesions and VPT and CPT for quantitative assessment of peripheral neuropathy. Patients were divided into abnormal CPT group (n = 21) and normal CPT group (n = 57) according to the CPT values. Compared with the normal CPT group, abnormal CPT group showed significantly higher levels of HbA(1c), longer duration of diabetes, and higher levels of T≤3.9 (P < .05). However, there was no significant difference of MAGE, SD, LAGE, MODD, and other glycemic variability parameters between abnormal CPT group and normal CPT group (P > .05). Pearson correlation analysis or Spearman correlation analysis showed that ABI negatively correlated with MBG, T≥10.0, SD, LAGE, and MAGE (P < .05), but no correlation of ABI with T≤3.9 and MODD (P > .05) was shown. VPT showed a positive correlation with T≥10.0 (P < .05), but no correlation with other glycemic variability parameters (P > .05). There was no correlation between the other CPT values and the glycemic variability parameters (P > .05), except that the left and right 250 Hz CPT values were positively correlated with T≤3.9 (P > .05). The higher the blood glucose levels, the severer the degree of LEAD and DPN lesions; the higher the incidence of hypoglycemia, the severer the degree of DPN lesions; the greater the fluctuation of blood glucose, the severer the degree of LEAD lesions. However, the glycemic variability was not significantly correlated with DPN. Wolters Kluwer Health 2020-03-20 /pmc/articles/PMC7220673/ /pubmed/32195933 http://dx.doi.org/10.1097/MD.0000000000019374 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 4300
Zhang, Chuangbiao
Tang, Meili
Lu, Xiaohua
Zhou, Yan
Zhao, Wane
Liu, Yu
Liu, Yan
Guo, Xiujie
Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes
title Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes
title_full Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes
title_fullStr Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes
title_full_unstemmed Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes
title_short Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes
title_sort relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes
topic 4300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7220673/
https://www.ncbi.nlm.nih.gov/pubmed/32195933
http://dx.doi.org/10.1097/MD.0000000000019374
work_keys_str_mv AT zhangchuangbiao relationshipofanklebrachialindexvibrationperceptionthresholdandcurrentperceptionthresholdtoglycemicvariabilityintype2diabetes
AT tangmeili relationshipofanklebrachialindexvibrationperceptionthresholdandcurrentperceptionthresholdtoglycemicvariabilityintype2diabetes
AT luxiaohua relationshipofanklebrachialindexvibrationperceptionthresholdandcurrentperceptionthresholdtoglycemicvariabilityintype2diabetes
AT zhouyan relationshipofanklebrachialindexvibrationperceptionthresholdandcurrentperceptionthresholdtoglycemicvariabilityintype2diabetes
AT zhaowane relationshipofanklebrachialindexvibrationperceptionthresholdandcurrentperceptionthresholdtoglycemicvariabilityintype2diabetes
AT liuyu relationshipofanklebrachialindexvibrationperceptionthresholdandcurrentperceptionthresholdtoglycemicvariabilityintype2diabetes
AT liuyan relationshipofanklebrachialindexvibrationperceptionthresholdandcurrentperceptionthresholdtoglycemicvariabilityintype2diabetes
AT guoxiujie relationshipofanklebrachialindexvibrationperceptionthresholdandcurrentperceptionthresholdtoglycemicvariabilityintype2diabetes