Literature DB >> 33655430

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

Jin J Zhou1,2, Daniel S Nuyujukian3,4, Peter D Reaven2,5.   

Abstract

PURPOSE OF REVIEW: There is evidence from epidemiologic studies that variability in cardiovascular risk factors influences risk of cardiovascular disease. We review new studies and novel findings in the relationship between visit-to-visit glycemic variability and blood pressure variability and risk of adverse outcomes. RECENT
FINDINGS: Visit-to-visit glycemic variability is consistently linked to macrovascular disease. This relationship has been observed in both clinical trials and retrospective studies of electronic health records. Long-term blood pressure variability also predicts cardiovascular outcomes, and the association appears stronger in those with lower levels of systolic and diastolic function. As epidemiologic evidence increases in support of a role for metabolic risk factor variability in cardiovascular risk, there is a corresponding rise in interest in applying this information toward improving risk factor prediction and treatment. Future investigation of underlying mechanisms for these associations as well as implications for therapy is also warranted. The potential additive contribution of variability of multiple parameters also merits additional scrutiny. As our technology for capturing risk factor variability continues to improve, this will only enhance our understanding of its links with vascular disease and how to best utilize this information to reduce cardiovascular outcomes.

Entities:  

Keywords:  Clinical trials; Coronary hypoperfusion; Macrovascular disease; Mechanisms; Risk factor variability; Type 2 diabetes

Mesh:

Substances:

Year:  2021        PMID: 33655430      PMCID: PMC8315105          DOI: 10.1007/s11886-021-01454-x

Source DB:  PubMed          Journal:  Curr Cardiol Rep        ISSN: 1523-3782            Impact factor:   2.931


  54 in total

1.  Blood pressure variability is more important than blood pressure level in determination of end-organ damage in rats.

Authors:  Chao-Yu Miao; He-Hui Xie; Lin-Shu Zhan; Ding-Feng Su
Journal:  J Hypertens       Date:  2006-06       Impact factor: 4.844

2.  Correlations of the glycemic variability with oxidative stress and erythrocytes membrane stability in patients with type 1 diabetes under intensive treatment.

Authors:  Ricardo Rodrigues; Luciana Alves de Medeiros; Lucas Moreira Cunha; Mario da Silva Garrote-Filho; Morun Bernardino Neto; Paulo Tannus Jorge; Elmiro Santos Resende; Nilson Penha-Silva
Journal:  Diabetes Res Clin Pract       Date:  2018-02-08       Impact factor: 5.602

3.  Diastolic Blood Pressure, Subclinical Myocardial Damage, and Cardiac Events: Implications for Blood Pressure Control.

Authors:  John W McEvoy; Yuan Chen; Andreea Rawlings; Ron C Hoogeveen; Christie M Ballantyne; Roger S Blumenthal; Josef Coresh; Elizabeth Selvin
Journal:  J Am Coll Cardiol       Date:  2016-08-30       Impact factor: 24.094

4.  Impact of visit-to-visit glycemic variability on the risks of macrovascular and microvascular events and all-cause mortality in type 2 diabetes: the ADVANCE trial.

Authors:  Yoichiro Hirakawa; Hisatomi Arima; Sophia Zoungas; Toshiharu Ninomiya; Mark Cooper; Pavel Hamet; Giuseppe Mancia; Neil Poulter; Stephen Harrap; Mark Woodward; John Chalmers
Journal:  Diabetes Care       Date:  2014-05-08       Impact factor: 19.112

5.  Visit-to-Visit Variability of Hemoglobin A1c in People Without Diabetes and Risk of Major Adverse Cardiovascular Events and All-Cause Mortality.

Authors:  Jonas Ghouse; Morten W Skov; Jørgen K Kanters; Bent Lind; Jonas L Isaksen; Paul Blanche; Stig Haunsø; Lars Køber; Jesper H Svendsen; Morten S Olesen; Anders G Holst; Thomas A Gerds; Jonas B Nielsen
Journal:  Diabetes Care       Date:  2018-10-23       Impact factor: 19.112

6.  Age-specific associations of glycated haemoglobin variability with cardiovascular disease and mortality in patients with type 2 diabetes mellitus: A 10- year cohort study.

Authors:  Eric Yuk Fai Wan; Esther Yee Tak Yu; Weng Yee Chin; Florence Ting Yan Ng; Shu Ming Cheryl Chia; Ian Chi Kei Wong; Esther Wai Yin Chan; Cindy Lo Kuen Lam
Journal:  Diabetes Obes Metab       Date:  2020-04-15       Impact factor: 6.577

7.  Association of Glycemic Variability in Type 1 Diabetes With Progression of Microvascular Outcomes in the Diabetes Control and Complications Trial.

Authors:  John M Lachin; Ionut Bebu; Richard M Bergenstal; Rodica Pop-Busui; F John Service; Bernard Zinman; David M Nathan
Journal:  Diabetes Care       Date:  2017-04-12       Impact factor: 19.112

8.  Day-to-day fasting glycaemic variability in DEVOTE: associations with severe hypoglycaemia and cardiovascular outcomes (DEVOTE 2).

Authors:  Bernard Zinman; Steven P Marso; Neil R Poulter; Scott S Emerson; Thomas R Pieber; Richard E Pratley; Martin Lange; Kirstine Brown-Frandsen; Alan Moses; Ann Marie Ocampo Francisco; Jesper Barner Lekdorf; Kajsa Kvist; John B Buse
Journal:  Diabetologia       Date:  2017-09-15       Impact factor: 10.122

9.  Glycemic variability correlates strongly with postprandial beta-cell dysfunction in a segment of type 2 diabetic patients using oral hypoglycemic agents.

Authors:  Klaus-Dieter Kohnert; Petra Augstein; Eckhard Zander; Peter Heinke; Karolina Peterson; Ernst-Joachim Freyse; Roman Hovorka; Eckhard Salzsieder
Journal:  Diabetes Care       Date:  2009-02-24       Impact factor: 19.112

10.  Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction.

Authors:  Juan Zhao; QiPing Feng; Patrick Wu; Roxana A Lupu; Russell A Wilke; Quinn S Wells; Joshua C Denny; Wei-Qi Wei
Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

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  3 in total

1.  Baseline blood pressure modifies the role of blood pressure variability in mortality: Results from the ACCORD trial.

Authors:  Daniel S Nuyujukian; Michelle S Newell; Jin J Zhou; Juraj Koska; Peter D Reaven
Journal:  Diabetes Obes Metab       Date:  2022-01-24       Impact factor: 6.577

2.  Association Between Long-Term HbA1c Variability and Functional Limitation in Individuals Aged Over 50 Years: A Retrospective Cohort Study.

Authors:  Di Shao; Shuang-Shuang Wang; Ji-Wei Sun; Hai-Peng Wang; Qiang Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-29       Impact factor: 6.055

Review 3.  Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes.

Authors:  Min Jeong Park; Kyung Mook Choi
Journal:  Diabetes Metab J       Date:  2022-01-27       Impact factor: 5.376

  3 in total

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