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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...

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Detalles Bibliográficos
Autores principales: 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
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
Descripción
Sumario: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.