Literature DB >> 28956084

Biomarkers of cardiovascular disease: contributions to risk prediction in individuals with diabetes.

Katherine N Bachmann1,2, Thomas J Wang3,4.   

Abstract

Cardiovascular disease is a leading cause of death, especially in individuals with diabetes mellitus, whose risk of morbidity and mortality due to cardiovascular disease is markedly increased compared with the general population. There has been growing interest in the identification of biomarkers of cardiovascular disease in people with diabetes. The present review focuses on the current and potential contributions of these biomarkers to predicting cardiovascular risk in individuals with diabetes. At present, certain biomarkers and biomarker combinations can lead to modest improvements in the prediction of cardiovascular disease in diabetes beyond traditional cardiovascular risk factors. Emerging technologies may enable the discovery of novel biomarkers and generate new information about known biomarkers (such as new combinations of biomarkers), which could lead to significant improvements in cardiovascular disease risk prediction. A critical question, however, is whether improvements in risk prediction will affect processes of care and decision making in clinical practice, as this will be required to achieve the ultimate goal of improving clinical outcomes in diabetes.

Entities:  

Keywords:  Cardiac complications; Clinical diabetes; Clinical science; Epidemiology; Human; Macrovascular disease; Review

Mesh:

Substances:

Year:  2017        PMID: 28956084      PMCID: PMC5874155          DOI: 10.1007/s00125-017-4442-9

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  49 in total

1.  Glycemic control and coronary heart disease risk in persons with and without diabetes: the atherosclerosis risk in communities study.

Authors:  Elizabeth Selvin; Josef Coresh; Sherita H Golden; Frederick L Brancati; Aaron R Folsom; Michael W Steffes
Journal:  Arch Intern Med       Date:  2005-09-12

2.  Translating clinical research into clinical practice: impact of using prediction rules to make decisions.

Authors:  Brendan M Reilly; Arthur T Evans
Journal:  Ann Intern Med       Date:  2006-02-07       Impact factor: 25.391

3.  Albuminuria and risk of cardiovascular events, death, and heart failure in diabetic and nondiabetic individuals.

Authors:  H C Gerstein; J F Mann; Q Yi; B Zinman; S F Dinneen; B Hoogwerf; J P Hallé; J Young; A Rashkow; C Joyce; S Nawaz; S Yusuf
Journal:  JAMA       Date:  2001-07-25       Impact factor: 56.272

Review 4.  Cardiac biomarkers in diabetes mellitus: New dawn for risk stratification?

Authors:  Alexander E Berezin
Journal:  Diabetes Metab Syndr       Date:  2016-12-13

5.  Use and misuse of the receiver operating characteristic curve in risk prediction.

Authors:  Nancy R Cook
Journal:  Circulation       Date:  2007-02-20       Impact factor: 29.690

Review 6.  SAVOR-TIMI to SUSTAIN-6: a critical comparison of cardiovascular outcome trials of antidiabetic drugs.

Authors:  Awadhesh Kumar Singh; Ritu Singh
Journal:  Expert Rev Clin Pharmacol       Date:  2017-02-06       Impact factor: 5.045

7.  Plasma Lipidomic Profiles Improve on Traditional Risk Factors for the Prediction of Cardiovascular Events in Type 2 Diabetes Mellitus.

Authors:  Zahir H Alshehry; Piyushkumar A Mundra; Christopher K Barlow; Natalie A Mellett; Gerard Wong; Malcolm J McConville; John Simes; Andrew M Tonkin; David R Sullivan; Elizabeth H Barnes; Paul J Nestel; Bronwyn A Kingwell; Michel Marre; Bruce Neal; Neil R Poulter; Anthony Rodgers; Bryan Williams; Sophia Zoungas; Graham S Hillis; John Chalmers; Mark Woodward; Peter J Meikle
Journal:  Circulation       Date:  2016-10-18       Impact factor: 29.690

8.  Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes mellitus.

Authors:  Elizabeth Selvin; Spyridon Marinopoulos; Gail Berkenblit; Tejal Rami; Frederick L Brancati; Neil R Powe; Sherita Hill Golden
Journal:  Ann Intern Med       Date:  2004-09-21       Impact factor: 25.391

9.  Evaluation of the Framingham risk score in the European Prospective Investigation of Cancer-Norfolk cohort: does adding glycated hemoglobin improve the prediction of coronary heart disease events?

Authors:  Rebecca K Simmons; Stephen Sharp; S Matthijs Boekholdt; Lincoln A Sargeant; Kay-Tee Khaw; Nicholas J Wareham; Simon J Griffin
Journal:  Arch Intern Med       Date:  2008-06-09

10.  Estimation of absolute cardiovascular risk in individuals with diabetes mellitus: rationale and approaches.

Authors:  Justin B Echouffo-Tcheugui; Modele O Ogunniyi; André P Kengne
Journal:  ISRN Cardiol       Date:  2011-11-23
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  13 in total

1.  Serum tenascin-C is independently associated with increased major adverse cardiovascular events and death in individuals with type 2 diabetes: a French prospective cohort.

Authors:  Barnabas Gellen; Nathalie Thorin-Trescases; Eric Thorin; Elise Gand; Philippe Sosner; Sonia Brishoual; Vincent Rigalleau; David Montaigne; Vincent Javaugue; Yann Pucheu; Philippe Gatault; Xavier Piguel; Samy Hadjadj; Pierre-Jean Saulnier
Journal:  Diabetologia       Date:  2020-02-10       Impact factor: 10.122

2.  Novel Urinary Glycan Biomarkers Predict Cardiovascular Events in Patients With Type 2 Diabetes: A Multicenter Prospective Study With 5-Year Follow Up (U-CARE Study 2).

Authors:  Koki Mise; Mariko Imamura; Satoshi Yamaguchi; Mayu Watanabe; Chigusa Higuchi; Akihiro Katayama; Satoshi Miyamoto; Haruhito A Uchida; Atsuko Nakatsuka; Jun Eguchi; Kazuyuki Hida; Tatsuaki Nakato; Atsuhito Tone; Sanae Teshigawara; Takashi Matsuoka; Shinji Kamei; Kazutoshi Murakami; Ikki Shimizu; Katsuhiro Miyashita; Shinichiro Ando; Tomokazu Nunoue; Michihiro Yoshida; Masao Yamada; Kenichi Shikata; Jun Wada
Journal:  Front Cardiovasc Med       Date:  2021-05-24

3.  Use of Glycated Hemoglobin (A1c) as a Biomarker for Vascular Risk in Type 2 Diabetes: Its Relationship with Matrix Metalloproteinases-2, -9 and the Metabolism of Collagen IV and Elastin.

Authors:  Krasimir Kostov; Alexander Blazhev
Journal:  Medicina (Kaunas)       Date:  2020-05-11       Impact factor: 2.430

4.  Diabetes medication regimens and patient clinical characteristics in the national patient-centered clinical research network, PCORnet.

Authors:  Katherine N Bachmann; Christianne L Roumie; Andrew D Wiese; Carlos G Grijalva; John B Buse; Robert Bradford; Emily O Zalimeni; Patricia Knoepp; Sofia Dard; Heather L Morris; William T Donahoo; Nada Fanous; Vivian Fonseca; Bonnie Katalenich; Sujung Choi; Darcy Louzao; Emily O'Brien; Megan M Cook; Russell L Rothman; Rosette J Chakkalakal
Journal:  Pharmacol Res Perspect       Date:  2020-10

5.  IGFBP-1 and IGFBP-2 are associated with a decreased pulse-wave velocity in young, healthy adults.

Authors:  Paul Pettersson-Pablo; Torbjörn K Nilsson; Lars H Breimer; Anita Hurtig-Wennlöf
Journal:  BMC Cardiovasc Disord       Date:  2021-03-11       Impact factor: 2.298

6.  Serum Anti-Collagen IV IgM and IgG Antibodies as Indicators of Low Vascular Turnover of Collagen IV in Patients with Long-Term Complications of Type 2 Diabetes.

Authors:  Krasimir Kostov; Alexander Blazhev
Journal:  Diagnostics (Basel)       Date:  2021-05-19

7.  Serum vitamin K1 associated to microangiopathy and/or macroangiopathy in individuals with and without diabetes.

Authors:  Ida Bøgh Andersen; Claus Lohman Brasen; Hashmatullah Nasimi; Maria Stougård; Mette Bliddal; Anders Green; Anne Schmedes; Ivan Brandslund; Jonna Skov Madsen
Journal:  BMJ Open Diabetes Res Care       Date:  2020-03

8.  Evaluation of cardiovascular risk in adults with type 1 diabetes: poor concordance between the 2019 ESC risk classification and 10-year cardiovascular risk prediction according to the Steno Type 1 Risk Engine.

Authors:  Nicola Tecce; Maria Masulli; Roberta Lupoli; Giuseppe Della Pepa; Lutgarda Bozzetto; Luisa Palmisano; Angela Albarosa Rivellese; Gabriele Riccardi; Brunella Capaldo
Journal:  Cardiovasc Diabetol       Date:  2020-10-03       Impact factor: 9.951

9.  Association of elevated hs-CRP and multiple infarctions with outcomes of minor stroke or TIA: subgroup analysis of CHANCE randomised clinical trial.

Authors:  Guangyao Wang; Jing Jing; Jiejie Li; Yuesong Pan; Hongyi Yan; Xia Meng; Xingquan Zhao; Liping Liu; Hao Li; David Z Wang; Yongjun Wang; Yilong Wang
Journal:  Stroke Vasc Neurol       Date:  2020-09-21

10.  A Dual Electrode Biosensor for Glucose and Lactate Measurement in Normal and Prolonged Obese Mice Using Single Drop of Whole Blood.

Authors:  Mukesh Thapa; Ryong Sung; Yun Seok Heo
Journal:  Biosensors (Basel)       Date:  2021-12-09
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