Literature DB >> 29066610

High-sensitivity cardiac troponin I and risk of cardiovascular disease in an Australianpopulation-based cohort.

Kun Zhu1,2, Matthew Knuiman3, Mark Divitini3, Kevin Murray3, Ee Mun Lim4, Andrew St John5, John P Walsh1,2, Joseph Hung2.   

Abstract

OBJECTIVE: High-sensitivity cardiac troponin I (hs-cTnI) is an emerging biomarker for cardiovascular risk. We examined hs-cTnI as a predictor of mortality and cardiovascular outcomes in an Australian population-based cohort and evaluated if a sex difference exists.
METHODS: Serum hs-cTnI was measured in the Busselton Health Study 1994/1995 Cohort (n=3939). Outcome measures were total and cardiovascular mortality, cardiovascular disease (CVD) and coronary heart disease (CHD) events, heart failure and stroke.
RESULTS: Hs-cTnI was detectable (>1.2 ng/L) in 66.1% of participants (males 81.8%, females 54.4%) at baseline. There were 886 deaths (including 361 from CVD) and 940 CVD events during 20-year follow-up. Adjusting for Framingham Risk Score variables, hs-cTnI was a significant predictor of total mortality (HR (95% CI): 1.16 (1.09 to 1.24)), CVD mortality (1.33 (1.23 to 1.44)), CVD events (1.18 (1.11 to 1.25)), CHD events (1.11 (1.03 to 1.20)), heart failure (1.44 (1.31 to 1.58)) and stroke (1.13 (1.03 to 1.24)) per doubling of hs-cTnI at baseline. HRs remained significant in CVD-free individuals at baseline (n=3215), except for CHD events. There were no significant interactions between sex and hs-cTnI as a predictor of outcomes. Compared with individuals with hs-cTnI ≤1.2 ng/L, men with hs-cTnI ≥6.0 ng/L and women with hs-cTnI ≥4.0 ng/L had an HR of 2.18 (1.42 to 3.37) and 1.84 (1.30 to 2.62), respectively, for any CVD event, which persisted in the CVD-free subgroup.
CONCLUSIONS: Cardiac troponin I, measured with a high-sensitive assay, is an independent predictor of fatal and non-fatal CVD events and may help identify at-risk individuals in a general population. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  cardiac risk factors and prevention; coronary artery disease; epidemiology; heart failure; stroke

Mesh:

Substances:

Year:  2017        PMID: 29066610     DOI: 10.1136/heartjnl-2017-312093

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  6 in total

1.  Non-coronary predictors of elevated high-sensitive cardiac troponin T (hs-cTnT) levels in an unselected emergency patient cohort.

Authors:  Manfred Berger; Meryem Emir; Tanja Brünnler; Felix Rockmann; Ralf Lehmann
Journal:  Clin Cardiol       Date:  2018-08-16       Impact factor: 2.882

2.  High-Sensitivity Cardiac Troponin I Improves Cardiovascular Risk Prediction in Older Men: HIMS (The Health in Men Study).

Authors:  Nick S R Lan; Damon A Bell; Kieran A McCaul; Samuel D Vasikaran; Bu B Yeap; Paul E Norman; Osvaldo P Almeida; Jonathan Golledge; Graeme J Hankey; Leon Flicker
Journal:  J Am Heart Assoc       Date:  2019-03-05       Impact factor: 5.501

3.  High-sensitivity troponin I and B-type natriuretic peptide biomarkers for prediction of cardiovascular events in patients with coronary artery disease with and without diabetes mellitus.

Authors:  Yuen-Kwun Wong; Chloe Y Y Cheung; Clara S Tang; JoJo S H Hai; Chi-Ho Lee; Kui-Kai Lau; Ka-Wing Au; Bernard M Y Cheung; Pak-Chung Sham; Aimin Xu; Karen S L Lam; Hung-Fat Tse
Journal:  Cardiovasc Diabetol       Date:  2019-12-17       Impact factor: 9.951

4.  Sortilin and Homocysteine as Potential Biomarkers for Coronary Artery Diseases.

Authors:  Rehab H Werida; Ayman Omran; Noha M El-Khodary
Journal:  Int J Gen Med       Date:  2021-09-27

5.  Effect of positive airway pressure on cardiac troponins in patients with sleep-disordered breathing: A meta-analysis.

Authors:  Li-Hua Wu; Cai-Xia Hong; Zhi-Wei Zhao; Yan-Fei Huang; Huo-Yu Li; Hong-Ling Cai; Zhi-Sen Gao; Zhi Wu
Journal:  Clin Cardiol       Date:  2022-03-21       Impact factor: 3.287

Review 6.  Towards Multiplexed and Multimodal Biosensor Platforms in Real-Time Monitoring of Metabolic Disorders.

Authors:  Sung Sik Chu; Hung Anh Nguyen; Jimmy Zhang; Shawana Tabassum; Hung Cao
Journal:  Sensors (Basel)       Date:  2022-07-12       Impact factor: 3.847

  6 in total

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