Literature DB >> 30082325

Glycemic Variation and Cardiovascular Risk in the Veterans Affairs Diabetes Trial.

Jin J Zhou1, Dawn C Schwenke2, Gideon Bahn3, Peter Reaven2.   

Abstract

OBJECTIVE: There is uncertainty about the importance of glycemic variability in cardiovascular complications in patients with type 2 diabetes. Using the Veterans Affairs Diabetes Trial (VADT), we investigated the association between variation in fasting glucose and glycated hemoglobin (HbA1c) over time and the incidence of cardiovascular disease (CVD) and assessed whether this is influenced by intensive or standard glycemic control. RESEARCH DESIGN AND METHODS: During the VADT, fasting glucose and HbA1c were measured every 3 months for up to 84 months in 1,791 individuals. Variability measures included coefficient of variation (CV) and average real variability (ARV) for fasting glucose and HbA1c. Overall mean glucose and HbA1c measures as well as their maximum and the most recent measurement were also examined.
RESULTS: Variability measures (CV and ARV) of fasting glucose were significantly associated with CVD even after adjusting for other risk factors, including mean fasting glucose. When considering separately groups receiving intensive and standard glycemic control, this relationship was evident in the intensive treatment group but not in the standard group. Additional adjustment for severe hypoglycemic episodes did not alter the relationship between fasting glucose variability and CVD. Interestingly, no HbA1c measures were associated with CVD after adjusting for multiple baseline risk factors.
CONCLUSIONS: Our analysis indicates that in the VADT, variability of fasting glucose plays a role in the development of CVD complications beyond the influence of standard fasting glucose measures. The adverse consequences of fasting glucose variability on CVD appear greatest in those receiving intensive glucose control.
© 2018 by the American Diabetes Association.

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Year:  2018        PMID: 30082325      PMCID: PMC6150432          DOI: 10.2337/dc18-0548

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


  35 in total

1.  Risks of diabetic nephropathy with variation in hemoglobin A1c and fasting plasma glucose.

Authors:  Cheng-Chieh Lin; Ching-Chu Chen; Fei-Na Chen; Chia-Ing Li; Chiu-Shong Liu; Wen-Yuan Lin; Sing-Yu Yang; Cheng-Chun Lee; Tsai-Chung Li
Journal:  Am J Med       Date:  2013-08-29       Impact factor: 4.965

2.  Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes.

Authors:  David M Nathan; Patricia A Cleary; Jye-Yu C Backlund; Saul M Genuth; John M Lachin; Trevor J Orchard; Philip Raskin; Bernard Zinman
Journal:  N Engl J Med       Date:  2005-12-22       Impact factor: 91.245

3.  Fasting plasma glucose variability as a marker of nocturnal hypoglycemia in diabetes: evidence from the PREDICTIVE study.

Authors:  Leo Niskanen; Antti Virkamäki; Jes B Hansen; Tero Saukkonen
Journal:  Diabetes Res Clin Pract       Date:  2009-09-10       Impact factor: 5.602

4.  Intensive Treatment and Severe Hypoglycemia Among Adults With Type 2 Diabetes.

Authors:  Rozalina G McCoy; Kasia J Lipska; Xiaoxi Yao; Joseph S Ross; Victor M Montori; Nilay D Shah
Journal:  JAMA Intern Med       Date:  2016-07-01       Impact factor: 21.873

5.  Identifying the independent effect of HbA1c variability on adverse health outcomes in patients with Type 2 diabetes.

Authors:  J C Prentice; S D Pizer; P R Conlin
Journal:  Diabet Med       Date:  2016-07-17       Impact factor: 4.359

6.  Devoting attention to glucose variability and hypoglycaemia in type 2 diabetes.

Authors:  Martin K Rutter
Journal:  Diabetologia       Date:  2017-09-15       Impact factor: 10.122

7.  A Link Between Hypoglycemia and Progression of Atherosclerosis in the Veterans Affairs Diabetes Trial (VADT).

Authors:  Aramesh Saremi; Gideon D Bahn; Peter D Reaven
Journal:  Diabetes Care       Date:  2016-01-19       Impact factor: 19.112

8.  Relationship of HbA1c variability, absolute changes in HbA1c, and all-cause mortality in type 2 diabetes: a Danish population-based prospective observational study.

Authors:  Mette V Skriver; Annelli Sandbæk; Jette K Kristensen; Henrik Støvring
Journal:  BMJ Open Diabetes Res Care       Date:  2015-01-30

Review 9.  Epigenetics in diabetic nephropathy, immunity and metabolism.

Authors:  Samuel T Keating; Janna A van Diepen; Niels P Riksen; Assam El-Osta
Journal:  Diabetologia       Date:  2017-11-11       Impact factor: 10.122

10.  A1C variability and the risk of microvascular complications in type 1 diabetes: data from the Diabetes Control and Complications Trial.

Authors:  Eric S Kilpatrick; Alan S Rigby; Stephen L Atkin
Journal:  Diabetes Care       Date:  2008-07-23       Impact factor: 17.152

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  40 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 between glucose variation and lower extremity amputation incidence in individuals with type 2 diabetes: a nationwide retrospective cohort study.

Authors:  Chia-Ing Li; Hui-Man Cheng; Chiu-Shong Liu; Chih-Hsueh Lin; Wen-Yuan Lin; Mu-Cyun Wang; Shing-Yu Yang; Tsai-Chung Li; Cheng-Chieh Lin
Journal:  Diabetologia       Date:  2019-11-04       Impact factor: 10.122

Review 3.  New Insights into the Role of Visit-to-Visit Glycemic Variability and Blood Pressure Variability in Cardiovascular Disease Risk.

Authors:  Jin J Zhou; Daniel S Nuyujukian; Peter D Reaven
Journal:  Curr Cardiol Rep       Date:  2021-03-02       Impact factor: 2.931

4.  Glycaemic variation is a predictor of all-cause mortality in the Veteran Affairs Diabetes Trial.

Authors:  Jin J Zhou; Juraj Koska; Gideon Bahn; Peter Reaven
Journal:  Diab Vasc Dis Res       Date:  2019-03       Impact factor: 3.291

5.  Visit-to-Visit Glycemic Variability and Risks of Cardiovascular Events and All-Cause Mortality: The ALLHAT Study.

Authors:  Justin B Echouffo-Tcheugui; Songzhu Zhao; Guy Brock; Roland A Matsouaka; David Kline; Joshua J Joseph
Journal:  Diabetes Care       Date:  2019-01-18       Impact factor: 19.112

6.  WiSER: Robust and scalable estimation and inference of within-subject variances from intensive longitudinal data.

Authors:  Christopher A German; Janet S Sinsheimer; Jin Zhou; Hua Zhou
Journal:  Biometrics       Date:  2021-06-18       Impact factor: 2.571

7.  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

8.  Association of Long-term Change and Variability in Glycemia With Risk of Incident Heart Failure Among Patients With Type 2 Diabetes: A Secondary Analysis of the ACCORD Trial.

Authors:  Matthew W Segar; Kershaw V Patel; Muthiah Vaduganathan; Melissa C Caughey; Javed Butler; Gregg C Fonarow; Justin L Grodin; Darren K McGuire; Ambarish Pandey
Journal:  Diabetes Care       Date:  2020-06-15       Impact factor: 19.112

9.  Refining determinants of associations of visit-to-visit blood pressure variability with cardiovascular risk: results from the Action to Control Cardiovascular Risk in Diabetes Trial.

Authors:  Daniel S Nuyujukian; Jin J Zhou; Juraj Koska; Peter D Reaven
Journal:  J Hypertens       Date:  2021-11-01       Impact factor: 4.844

10.  Fasting Glucose Variation Predicts Microvascular Risk in ACCORD and VADT.

Authors:  Jin J Zhou; Juraj Koska; Gideon Bahn; Peter Reaven
Journal:  J Clin Endocrinol Metab       Date:  2021-03-25       Impact factor: 5.958

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