Literature DB >> 28705834

Visit-to-Visit Variations in Fasting Plasma Glucose and HbA1c Associated With an Increased Risk of Alzheimer Disease: Taiwan Diabetes Study.

Tsai-Chung Li1,2, Chun-Pai Yang3,4, Shih-Ting Tseng5,6, Chia-Ing Li7,8, Chiu-Shong Liu7,8,9, Wen-Yuan Lin8,9, Kai-Lin Hwang10, Sing-Yu Yang1, Jen-Huai Chiang11, Cheng-Chieh Lin12,8,9.   

Abstract

OBJECTIVE: The relationship between glycemic variability and the incidence of Alzheimer disease (AD) in patients with type 2 diabetes mellitus (T2DM) is unclear. The aim of this study was to examine visit-to-visit variations in fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) represented by the coefficient of variation (CV) and to determine whether they were independently associated with AD, irrespective of HbA1c and other traditional risk factors in such patients. RESEARCH DESIGN AND METHODS: Patients with T2DM enrolled in the National Diabetes Care Management Program, age ≥60 years, and without diagnosis of AD (n = 16,706) were included in the study. Potential risk factors were analyzed using extended Cox proportional hazards regression models for competing risk of mortality on AD incidence.
RESULTS: During a median follow-up of 8.88 years, 831 incident cases of AD were identified, with a crude incidence rate of 3.5/1,000 person-years. After adjustment for sociodemographic factors, lifestyle behaviors, diabetes-related variables, FPG and HbA1c, drug-related variables, and comorbidities, both FPG CV and HbA1c CV were found to be significant predictors of AD, with corresponding hazard ratios of 1.27 (95% CI 1.06-1.52) for the third tertile in FPG CV and 1.32 (95% CI 1.11-1.58) for the third tertile in HbA1c CV.
CONCLUSIONS: FPG CV and HbA1c CV are independently associated with AD. The associations between glycemic variability and AD demonstrated in this study suggest a linked pathophysiological mechanism, which is worthy of further investigation. Further research is required to confirm our results and to evaluate whether FPG CV and HbA1c CV can be valuable therapeutic targets for patients with T2DM at risk.
© 2017 by the American Diabetes Association.

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Year:  2017        PMID: 28705834     DOI: 10.2337/dc16-2238

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  20 in total

1.  Association between visit-to-visit variability of HbA1c and cognitive decline: a pooled analysis of two prospective population-based cohorts.

Authors:  Zhe-Bin Yu; Yao Zhu; Die Li; Meng-Yin Wu; Meng-Ling Tang; Jian-Bing Wang; Kun Chen
Journal:  Diabetologia       Date:  2019-09-04       Impact factor: 10.122

2.  Association of glycaemic variability evaluated by continuous glucose monitoring with diabetic peripheral neuropathy in type 2 diabetic patients.

Authors:  Yu-Ming Hu; Li-Hua Zhao; Xiu-Lin Zhang; Hong-Li Cai; Hai-Yan Huang; Feng Xu; Tong Chen; Xue-Qin Wang; Ai-Song Guo; Jian-An Li; Jian-Bin Su
Journal:  Endocrine       Date:  2018-02-06       Impact factor: 3.633

3.  Fasting Glucose Variability in Young Adulthood and Cognitive Function in Middle Age: The Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Authors:  Michael P Bancks; Mercedes R Carnethon; David R Jacobs; Lenore J Launer; Jared P Reis; Pamela J Schreiner; Ravi V Shah; Stephen Sidney; Kristine Yaffe; Yuichiro Yano; Norrina B Allen
Journal:  Diabetes Care       Date:  2018-10-10       Impact factor: 19.112

4.  Water T2 as an early, global and practical biomarker for metabolic syndrome: an observational cross-sectional study.

Authors:  Michelle D Robinson; Ina Mishra; Sneha Deodhar; Vipulkumar Patel; Katrina V Gordon; Raul Vintimilla; Kim Brown; Leigh Johnson; Sid O'Bryant; David P Cistola
Journal:  J Transl Med       Date:  2017-12-19       Impact factor: 5.531

5.  HbA1c variability and diabetic peripheral neuropathy in type 2 diabetic patients.

Authors:  Jian-Bin Su; Li-Hua Zhao; Xiu-Lin Zhang; Hong-Li Cai; Hai-Yan Huang; Feng Xu; Tong Chen; Xue-Qin Wang
Journal:  Cardiovasc Diabetol       Date:  2018-03-29       Impact factor: 9.951

Review 6.  Glycemic variability: adverse clinical outcomes and how to improve it?

Authors:  Zheng Zhou; Bao Sun; Shiqiong Huang; Chunsheng Zhu; Meng Bian
Journal:  Cardiovasc Diabetol       Date:  2020-07-04       Impact factor: 9.951

7.  Association between normal tension glaucoma and the risk of Alzheimer's disease: a nationwide population-based cohort study in Taiwan.

Authors:  Yu-Yen Chen; Yun-Ju Lai; Yung-Feng Yen; Ying-Cheng Shen; Chun-Yuan Wang; Chiao-Ying Liang; Keng-Hung Lin; Lir-Wan Fan
Journal:  BMJ Open       Date:  2018-11-05       Impact factor: 2.692

8.  Fasting glucose variability in young adulthood and incident diabetes, cardiovascular disease and all-cause mortality.

Authors:  Michael P Bancks; April P Carson; Cora E Lewis; Erica P Gunderson; Jared P Reis; Pamela J Schreiner; Yuichiro Yano; Mercedes R Carnethon
Journal:  Diabetologia       Date:  2019-05-22       Impact factor: 10.122

9.  The effect of long-term past glycemic control on executive function among patients with type 2 diabetes mellitus.

Authors:  Taichi Minami; Yuzuru Ito; Masayo Yamada; Ryutaro Furuta; Fuyuki Minagawa; Kentaro Kamata; Akiko Kameda; Yasuo Terauchi
Journal:  Diabetol Int       Date:  2019-10-03

10.  Association Between Fasting Glucose Variability in Young Adulthood and the Progression of Coronary Artery Calcification in Middle Age.

Authors:  Weijing Feng; Zhibin Li; Wenjie Guo; Xianglin Fan; Feiran Zhou; Kun Zhang; Caiwen Ou; Feifei Huang; Minsheng Chen
Journal:  Diabetes Care       Date:  2020-07-30       Impact factor: 17.152

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