Cargando…
Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes
INTRODUCTION: Long-term changes of fasting blood glucose (FBG) in relation to lower-extremity peripheral artery disease (lower-extremity PAD) in people without diabetes has barely been reported. Our study aimed to investigate the association between FBG variability and the incidence of lower-extremi...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526273/ https://www.ncbi.nlm.nih.gov/pubmed/32994225 http://dx.doi.org/10.1136/bmjdrc-2019-000896 |
_version_ | 1783588841971515392 |
---|---|
author | Sun, Xiu-Ting Zeng, Cheng Zhang, Shao-Zhao Zhou, Hui-Min Zhong, Xiang-Bin Xiong, Zhen-Yu Yang, Da-Ya Guo, Yue Zhuang, Xiao-Dong Liao, Xin-Xue |
author_facet | Sun, Xiu-Ting Zeng, Cheng Zhang, Shao-Zhao Zhou, Hui-Min Zhong, Xiang-Bin Xiong, Zhen-Yu Yang, Da-Ya Guo, Yue Zhuang, Xiao-Dong Liao, Xin-Xue |
author_sort | Sun, Xiu-Ting |
collection | PubMed |
description | INTRODUCTION: Long-term changes of fasting blood glucose (FBG) in relation to lower-extremity peripheral artery disease (lower-extremity PAD) in people without diabetes has barely been reported. Our study aimed to investigate the association between FBG variability and the incidence of lower-extremity PAD in people without diabetes. RESEARCH DESIGN AND METHODS: We included 7699 participants without prior lower-extremity PAD and diabetes from the Atherosclerosis Risk in Communities study in the final analysis. At least two measurements of FBG were required during follow-up. Variability of FBG was identified using SD, coefficient of variation (CV), variability independent of the mean (VIM) and average real variability. Lower-extremity PAD was defined as an ankle brachial index <0.9, or hospitalization with a lower-extremity PAD diagnosis. Cox regression model was used to calculate HR for incidence of lower-extremity PAD and FBG variability. RESULTS: During a median follow-up of 19.5 years, 504 (6.5 %) lower-extremity PAD events were observed, 54.4% (n=274) were male, and 17.5% (n=88) were African-American. FBG variability was positively associated with incident lower-extremity PAD, with a linear relationship. HRs for CV and VIM were 1.015 (95% CI: 1.001 to 1.03; p=0.023), and 1.032 (95% CI: 1.004 to 1.06; p=0.022) for lower-extremity PAD, respectively. Participants in the lowest quartile of CV were at lower lower-extremity PAD risk compared with the highest ones (HR: 1.499, 95% CI: 1.16 to 1.938; p=0.002). CONCLUSIONS: Higher FBG variability was independently associated with increased prevalence of lower-extremity PAD in people without diabetes. TRIAL REGISTRATION NUMBER: NCT00005131. |
format | Online Article Text |
id | pubmed-7526273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75262732020-10-19 Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes Sun, Xiu-Ting Zeng, Cheng Zhang, Shao-Zhao Zhou, Hui-Min Zhong, Xiang-Bin Xiong, Zhen-Yu Yang, Da-Ya Guo, Yue Zhuang, Xiao-Dong Liao, Xin-Xue BMJ Open Diabetes Res Care Cardiovascular and Metabolic Risk INTRODUCTION: Long-term changes of fasting blood glucose (FBG) in relation to lower-extremity peripheral artery disease (lower-extremity PAD) in people without diabetes has barely been reported. Our study aimed to investigate the association between FBG variability and the incidence of lower-extremity PAD in people without diabetes. RESEARCH DESIGN AND METHODS: We included 7699 participants without prior lower-extremity PAD and diabetes from the Atherosclerosis Risk in Communities study in the final analysis. At least two measurements of FBG were required during follow-up. Variability of FBG was identified using SD, coefficient of variation (CV), variability independent of the mean (VIM) and average real variability. Lower-extremity PAD was defined as an ankle brachial index <0.9, or hospitalization with a lower-extremity PAD diagnosis. Cox regression model was used to calculate HR for incidence of lower-extremity PAD and FBG variability. RESULTS: During a median follow-up of 19.5 years, 504 (6.5 %) lower-extremity PAD events were observed, 54.4% (n=274) were male, and 17.5% (n=88) were African-American. FBG variability was positively associated with incident lower-extremity PAD, with a linear relationship. HRs for CV and VIM were 1.015 (95% CI: 1.001 to 1.03; p=0.023), and 1.032 (95% CI: 1.004 to 1.06; p=0.022) for lower-extremity PAD, respectively. Participants in the lowest quartile of CV were at lower lower-extremity PAD risk compared with the highest ones (HR: 1.499, 95% CI: 1.16 to 1.938; p=0.002). CONCLUSIONS: Higher FBG variability was independently associated with increased prevalence of lower-extremity PAD in people without diabetes. TRIAL REGISTRATION NUMBER: NCT00005131. BMJ Publishing Group 2020-09-29 /pmc/articles/PMC7526273/ /pubmed/32994225 http://dx.doi.org/10.1136/bmjdrc-2019-000896 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Cardiovascular and Metabolic Risk Sun, Xiu-Ting Zeng, Cheng Zhang, Shao-Zhao Zhou, Hui-Min Zhong, Xiang-Bin Xiong, Zhen-Yu Yang, Da-Ya Guo, Yue Zhuang, Xiao-Dong Liao, Xin-Xue Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes |
title | Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes |
title_full | Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes |
title_fullStr | Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes |
title_full_unstemmed | Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes |
title_short | Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes |
title_sort | long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes |
topic | Cardiovascular and Metabolic Risk |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526273/ https://www.ncbi.nlm.nih.gov/pubmed/32994225 http://dx.doi.org/10.1136/bmjdrc-2019-000896 |
work_keys_str_mv | AT sunxiuting longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT zengcheng longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT zhangshaozhao longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT zhouhuimin longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT zhongxiangbin longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT xiongzhenyu longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT yangdaya longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT guoyue longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT zhuangxiaodong longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes AT liaoxinxue longtermtrackingoffastingbloodglucosevariabilityandperipheralarterydiseaseinpeoplewithoutdiabetes |