Literature DB >> 28585121

Ultra-sensitive troponin I is an independent predictor of incident coronary heart disease in the general population.

Bernhard M Kaess1,2, Tonia de Las Heras Gala3,4, Astrid Zierer3, Christa Meisinger3, Simone Wahl3, Annette Peters3,4, John Todd5, Christian Herder6,7, Cornelia Huth3, Barbara Thorand3, Wolfgang Koenig8,9.   

Abstract

Troponins are sensitive markers of myocardial injury and predictive of cardiovascular events, but conventional assays fail to detect slightly elevated troponins in a considerable proportion of the general population. Using a novel ultrasensitive assay, we explored the relationship of troponin levels with the incidence of coronary heart disease (CHD) in a case-cohort sample (mean age 52.5 ± 0.2 years, 51.5% women) comprising 803 CHD cases and 1942 non-cases. Ultrasensitive troponin I was detectable in 99.9% of available case-cohort samples. In an age- and sex-adjusted model, individuals in the highest quartile of the troponin distribution had a more than threefold increased risk for CHD events compared to those in the bottom quartile [hazard ratio, HR, 3.11; 95% confidence interval (CI) 2.15-4.49]. In a model adjusting for cardiovascular risk factors including C-reactive protein, cystatin C and N-terminal pro brain natriuretic peptide, individuals in the highest troponin I quartile still showed a hazard ratio of 2.58 (95% CI 1.66-4.00) for incident CHD as compared to those in the lowest quartile. Ultrasensitive troponin I was detectable in almost all individuals of a study sample reflecting middle-aged to elderly European general population. Ultrasensitive troponin concentrations exhibit an independent, graded, positive relation with incident CHD.

Entities:  

Keywords:  Coronary heart disease; General population; Risk prediction; Ultrasensitive troponin I

Mesh:

Substances:

Year:  2017        PMID: 28585121     DOI: 10.1007/s10654-017-0266-7

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  36 in total

1.  Determination of C-reactive protein: comparison of three high-sensitivity immunoassays.

Authors:  Natalie Khuseyinova; Armin Imhof; Gerlinde Trischler; Dietrich Rothenbacher; Winston L Hutchinson; Mark B Pepys; Wolfgang Koenig
Journal:  Clin Chem       Date:  2003-10       Impact factor: 8.327

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

3.  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

4.  Robust variance estimation for the case-cohort design.

Authors:  W E Barlow
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

5.  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

6.  Troponin T, B-type natriuretic peptide, C-reactive protein, and cause-specific mortality.

Authors:  Oludamilola W Oluleye; Aaron R Folsom; Vijay Nambi; Pamela L Lutsey; Christie M Ballantyne
Journal:  Ann Epidemiol       Date:  2012-12-08       Impact factor: 3.797

7.  Clinical utility of lipoprotein-associated phospholipase A₂ for cardiovascular disease prediction in a multiethnic cohort of women.

Authors:  Nancy R Cook; Nina P Paynter; Joann E Manson; Lisa W Martin; Jennifer G Robinson; Sylvia Wassertheil-Smoller; Paul M Ridker
Journal:  Clin Chem       Date:  2012-08-02       Impact factor: 8.327

8.  Case finding, data quality aspects and comparability of myocardial infarction registers: results of a south German register study.

Authors:  H Löwel; M Lewis; A Hörmann; U Keil
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

9.  High-sensitivity cardiac troponin I and B-type natriuretic Peptide as predictors of vascular events in primary prevention: impact of statin therapy.

Authors:  Brendan M Everett; Tanja Zeller; Robert J Glynn; Paul M Ridker; Stefan Blankenberg
Journal:  Circulation       Date:  2015-03-30       Impact factor: 29.690

10.  Troponin I and cardiovascular risk prediction in the general population: the BiomarCaRE consortium.

Authors:  Stefan Blankenberg; Veikko Salomaa; Nataliya Makarova; Francisco Ojeda; Philipp Wild; Karl J Lackner; Torben Jørgensen; Barbara Thorand; Annette Peters; Matthias Nauck; Astrid Petersmann; Erkki Vartiainen; Giovanni Veronesi; Paolo Brambilla; Simona Costanzo; Licia Iacoviello; Gerard Linden; John Yarnell; Christopher C Patterson; Brendan M Everett; Paul M Ridker; Jukka Kontto; Renate B Schnabel; Wolfgang Koenig; Frank Kee; Tanja Zeller; Kari Kuulasmaa
Journal:  Eur Heart J       Date:  2016-05-12       Impact factor: 29.983

View more
  4 in total

1.  Establishing the 99th percentile for high sensitivity cardiac troponin I in healthy blood donors from Southern Italy.

Authors:  Luisa Agnello; Chiara Bellia; Concetta Scazzone; Giulia Bivona; Giorgia Iacolino; Caterina Maria Gambino; Maddalena Muratore; Bruna Lo Sasso; Marcello Ciaccio
Journal:  Biochem Med (Zagreb)       Date:  2019-06-15       Impact factor: 2.313

2.  Prognostic Value of a Novel and Established High-Sensitivity Troponin I Assay in Patients Presenting with Suspected Myocardial Infarction.

Authors:  Nils A Sörensen; Sebastian Ludwig; Nataliya Makarova; Johannes T Neumann; Jonas Lehmacher; Tau S Hartikainen; Paul M Haller; Till Keller; Stefan Blankenberg; Dirk Westermann; Tanja Zeller; Niklas Schofer
Journal:  Biomolecules       Date:  2019-09-09

3.  Development of fully automated and ultrasensitive assays for urinary adiponectin and their application as novel biomarkers for diabetic kidney disease.

Authors:  Toshihiro Watanabe; Yuki Fujimoto; Aya Morimoto; Mai Nishiyama; Akinori Kawai; Seiki Okada; Motohiro Aiba; Tomoharu Kawano; Mina Kawahigashi; Masashi Ishizu; Hiroyasu Mori; Munehide Matsuhisa; Akiko Hata; Makoto Funaki; Seiichi Hashida
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

4.  A Panel of 6 Biomarkers Significantly Improves the Prediction of Type 2 Diabetes in the MONICA/KORA Study Population.

Authors:  Barbara Thorand; Astrid Zierer; Mustafa Büyüközkan; Jan Krumsiek; Alina Bauer; Florian Schederecker; Julie Sudduth-Klinger; Christa Meisinger; Harald Grallert; Wolfgang Rathmann; Michael Roden; Annette Peters; Wolfgang Koenig; Christian Herder; Cornelia Huth
Journal:  J Clin Endocrinol Metab       Date:  2021-03-25       Impact factor: 5.958

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.