Literature DB >> 27439107

Six-Year Change in High-Sensitivity Cardiac Troponin T and Risk of Subsequent Coronary Heart Disease, Heart Failure, and Death.

John W McEvoy1, Yuan Chen2, Chiadi E Ndumele1, Scott D Solomon3, Vijay Nambi4, Christie M Ballantyne5, Roger S Blumenthal6, Josef Coresh2, Elizabeth Selvin2.   

Abstract

IMPORTANCE: High-sensitivity cardiac troponin T (hs-cTnT) is a biomarker of cardiovascular risk and could be approved in the United States for clinical use soon. However, data linking long-term temporal change in hs-cTnT to outcomes are limited, particularly in primary prevention settings.
OBJECTIVE: To examine the association of 6-year change in hs-cTnT with incident coronary heart disease (CHD), heart failure (HF), and all-cause mortality. DESIGN, SETTING, AND PARTICIPANTS: This prospective observational cohort study, performed from January 1, 1990, to December 31, 2011, included 8838 participants with biracial representation from the Atherosclerosis Risk in Communities Study who were initially free of CHD and HF and who had hs-cTnT measured twice, 6 years apart. Data analysis was performed from October 28, 2014, to March 9, 2016. MAIN OUTCOME AND MEASURES: Risk factor and temporal hs-cTnT data were collected. Using Cox proportional hazards regression, we examined the association of hs-cTnT change with subsequent CHD, HF, and death during a maximum of 16 years. Improvement in discrimination was determined by the Harrell C statistic.
RESULTS: Of the 8838 participants (mean age, 56 years; 5215 female [59.0%]; 1891 black [21.4%]) there were 1157 CHD events, 965 HF events, and 1813 deaths overall. Incident detectable hs-cTnT (baseline, <0.005 ng/mL; follow-up, ≥0.005 ng/mL) was independently associated with subsequent CHD (hazard ratio [HR], 1.4; 95% CI, 1.2-1.6), HF (HR, 2.0; 95% CI, 1.6-2.4), and death (HR, 1.5; 95% CI, 1.3-1.7), relative to an hs-cTnT level less than 0.005 ng/mL at both visits. In addition, HRs as high as 4 for CHD and death and 8 for HF were recorded among individuals with the most marked hs-cTnT increases (eg, baseline, < 0.005 ng/mL; follow-up, ≥0.014 ng/mL). Risk for subsequent outcomes was lower among those with relative hs-cTnT reductions greater than 50% from baseline. Furthermore, information on hs-cTnT change improved discrimination for HF and death when added to a model that included traditional risk factors, N-terminal pro-brain natriuretic peptide, and baseline hs-cTnT level. Among individuals with adjudicated HF hospitalizations, hs-cTnT change appeared to be similarly associated with HF with reduced and preserved ejection fraction. CONCLUSIONS AND RELEVANCE: Temporal increases in hs-cTnT, suggestive of progressive myocardial damage, are independently associated with incident CHD, death, and, above all, HF. Serial determination of hs-cTnT trajectory adds clinically relevant information to baseline testing and may be useful in prognostic assessments and the targeting of prevention strategies to high-risk individuals, especially among persons with stage A or B HF.

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Year:  2016        PMID: 27439107      PMCID: PMC5084093          DOI: 10.1001/jamacardio.2016.0765

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   14.676


  35 in total

1.  Serial measurement of cardiac troponin T using a highly sensitive assay in patients with chronic heart failure: data from 2 large randomized clinical trials.

Authors:  Serge Masson; Inder Anand; Chiara Favero; Simona Barlera; Tarcisio Vago; Federico Bertocchi; Aldo P Maggioni; Luigi Tavazzi; Gianni Tognoni; Jay N Cohn; Roberto Latini
Journal:  Circulation       Date:  2011-12-02       Impact factor: 29.690

2.  Association of serial measures of cardiac troponin T using a sensitive assay with incident heart failure and cardiovascular mortality in older adults.

Authors:  Christopher R deFilippi; James A de Lemos; Robert H Christenson; John S Gottdiener; Willem J Kop; Min Zhan; Stephen L Seliger
Journal:  JAMA       Date:  2010-11-15       Impact factor: 56.272

Review 3.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

4.  Third universal definition of myocardial infarction.

Authors:  Kristian Thygesen; Joseph S Alpert; Allan S Jaffe; Maarten L Simoons; Bernard R Chaitman; Harvey D White; Hugo A Katus; Bertil Lindahl; David A Morrow; Peter M Clemmensen; Per Johanson; Hanoch Hod; Richard Underwood; Jeroen J Bax; Robert O Bonow; Fausto Pinto; Raymond J Gibbons; Keith A Fox; Dan Atar; L Kristin Newby; Marcello Galvani; Christian W Hamm; Barry F Uretsky; Ph Gabriel Steg; William Wijns; Jean-Pierre Bassand; Phillippe Menasché; Jan Ravkilde; E Magnus Ohman; Elliott M Antman; Lars C Wallentin; Paul W Armstrong; Maarten L Simoons; James L Januzzi; Markku S Nieminen; Mihai Gheorghiade; Gerasimos Filippatos; Russell V Luepker; Stephen P Fortmann; Wayne D Rosamond; Dan Levy; David Wood; Sidney C Smith; Dayi Hu; José-Luis Lopez-Sendon; Rose Marie Robertson; Douglas Weaver; Michal Tendera; Alfred A Bove; Alexander N Parkhomenko; Elena J Vasilieva; Shanti Mendis
Journal:  Circulation       Date:  2012-08-24       Impact factor: 29.690

5.  High-sensitive cardiac troponin T and its relations to cardiovascular risk factors, morbidity, and mortality in elderly men.

Authors:  Kai M Eggers; Jinan Al-Shakarchi; Lars Berglund; Bertil Lindahl; Agneta Siegbahn; Lars Wallentin; Björn Zethelius
Journal:  Am Heart J       Date:  2013-08-13       Impact factor: 4.749

Review 6.  Troponins in heart failure.

Authors:  T Omland; H Røsjø; E Giannitsis; S Agewall
Journal:  Clin Chim Acta       Date:  2014-08-21       Impact factor: 3.786

7.  Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ewout W Steyerberg
Journal:  Stat Med       Date:  2010-11-05       Impact factor: 2.373

Review 8.  Heart failure with preserved ejection fraction: pathophysiology, diagnosis, and treatment.

Authors:  Barry A Borlaug; Walter J Paulus
Journal:  Eur Heart J       Date:  2010-12-07       Impact factor: 29.983

9.  Cardiac troponin T measured by a highly sensitive assay predicts coronary heart disease, heart failure, and mortality in the Atherosclerosis Risk in Communities Study.

Authors:  Justin T Saunders; Vijay Nambi; James A de Lemos; Lloyd E Chambless; Salim S Virani; Eric Boerwinkle; Ron C Hoogeveen; Xiaoxi Liu; Brad C Astor; Thomas H Mosley; Aaron R Folsom; Gerardo Heiss; Josef Coresh; Christie M Ballantyne
Journal:  Circulation       Date:  2011-03-21       Impact factor: 29.690

10.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators.

Authors: 
Journal:  Am J Epidemiol       Date:  1989-04       Impact factor: 4.897

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  42 in total

Review 1.  Novel Biomarkers of Subclinical Cardiac Dysfunction in the General Population.

Authors:  Kamal Shemisa; Anish Bhatt; Daniel Cheeran; Ian J Neeland
Journal:  Curr Heart Fail Rep       Date:  2017-08

2.  Troponin Release and Reversible Left Ventricular Dysfunction After Transient Pressure Overload.

Authors:  Brian R Weil; Gen Suzuki; Rebeccah F Young; Vijay Iyer; John M Canty
Journal:  J Am Coll Cardiol       Date:  2018-06-26       Impact factor: 24.094

3.  Healthy diet reduces markers of cardiac injury and inflammation regardless of macronutrients: Results from the OmniHeart trial.

Authors:  Lara C Kovell; Edwina H Yeung; Edgar R Miller; Lawrence J Appel; Robert H Christenson; Heather Rebuck; Steven P Schulman; Stephen P Juraschek
Journal:  Int J Cardiol       Date:  2019-08-02       Impact factor: 4.164

4.  Biomarkers: Sensitivity of troponins for diagnosis and risk prediction.

Authors:  Gregory B Lim
Journal:  Nat Rev Cardiol       Date:  2016-06-30       Impact factor: 32.419

5.  Associations Between Dietary Patterns and Subclinical Cardiac Injury: An Observational Analysis From the DASH Trial.

Authors:  Stephen P Juraschek; Lara C Kovell; Lawrence J Appel; Edgar R Miller; Frank M Sacks; Robert H Christenson; Heather Rebuck; Alexander R Chang; Kenneth J Mukamal
Journal:  Ann Intern Med       Date:  2020-05-19       Impact factor: 25.391

6.  Prevalence of high-sensitivity cardiac troponin T in real-life cohorts of psoriatic arthritis and general population: a cross-sectional study.

Authors:  Victoria Furer; Shani Shenhar-Tsarfaty; Shlomo Berliner; Uri Arad; Daphna Paran; Inna Mailis; Ori Rogowski; David Zeltser; Itzhak Shapira; Hagit Matz; Ori Elkayam
Journal:  Rheumatol Int       Date:  2019-10-23       Impact factor: 2.631

7.  Is twice better than once?-challenges of troponin measurements for risk prediction in the general population.

Authors:  Henning Jansen; Dietrich Rothenbacher; Wolfgang Koenig
Journal:  Ann Transl Med       Date:  2019-09

Review 8.  Revisiting the Biological Variability of Cardiac Troponin: Implications for Clinical Practice.

Authors:  Nick S R Lan; Damon A Bell
Journal:  Clin Biochem Rev       Date:  2019-11

9.  High-Sensitivity Troponin I and Incident Coronary Events, Stroke, Heart Failure Hospitalization, and Mortality in the ARIC Study.

Authors:  Xiaoming Jia; Wensheng Sun; Ron C Hoogeveen; Vijay Nambi; Kunihiro Matsushita; Aaron R Folsom; Gerardo Heiss; David J Couper; Scott D Solomon; Eric Boerwinkle; Amil Shah; Elizabeth Selvin; James A de Lemos; Christie M Ballantyne
Journal:  Circulation       Date:  2019-04-29       Impact factor: 29.690

10.  Relation of Lifestyle Factors and Life's Simple 7 Score to Temporal Reduction in Troponin Levels Measured by a High-Sensitivity Assay (from the Atherosclerosis Risk in Communities Study).

Authors:  Anna Fretz; John W McEvoy; Casey M Rebholz; Chiadi E Ndumele; Roberta Florido; Ron C Hoogeveen; Christie M Ballantyne; Elizabeth Selvin
Journal:  Am J Cardiol       Date:  2017-11-24       Impact factor: 2.778

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