Literature DB >> 24508492

Midregional proadrenomedullin and its change predicts recurrent major coronary events and heart failure in stable coronary heart disease patients: the LIPID study.

Anne Funke-Kaiser1, Kristy Mann2, David Colquhoun3, Tanja Zeller1, David Hunt4, John Simes2, David Sullivan2, Karsten Sydow1, Malcolm West5, Harvey White6, Stefan Blankenberg1, Andrew M Tonkin7.   

Abstract

BACKGROUND: Biomarkers may contribute to risk stratification in coronary heart disease (CHD). We examined whether plasma midregional proadrenomedullin (MR-proADM) concentration at baseline and its change over one year predicts long-term outcomes in stable CHD patients.
METHODS: The LIPID study randomised patients 3-36 months after an acute coronary syndrome with total cholesterol 4.0-7.0 mmol/L (155-271 mg/dL), to placebo or pravastatin 40 mg. Follow-up was 6.0 years. MR-proADM plasma concentrations at baseline and one year later were determined in 7863 and 6658 patients, respectively. These were categorised into quartiles to perform Cox regression analysis, adjusting for baseline parameters.
RESULTS: Baseline MR-proADM concentrations predicted major CHD events (non-fatal myocardial infarction or CHD death; hazard ratio (HR) 1.52, 1.26-1.84 for Q4-Q1), CHD death (HR 2.21, 1.67-2.92), heart failure (HR 2.30, 1.78-2.97) and all-cause mortality (HR 1.82, 1.49-2.23). Associations were still significant after adjustment for baseline B-type natriuretic peptide (BNP) concentration. Increase in MR-proADM after one year was associated with increased risk of subsequent CHD events (HR 1.34, 1.08-1.66), non-fatal myocardial infarction (HR 1.50, 1.12-2.03), heart failure (HR 1.78, 1.37-2.30) and all-cause mortality (HR 1.31, 1.04-1.64). Associations with heart failure and all-cause mortality remained significant after adjusting for baseline and change in BNP concentration. Change in MR-proADM moderately improved risk reclassification for major CHD events (net reclassification improvement (NRI) 3.48%) but strongly improved risk reclassification for heart failure (NRI 5.60%).
CONCLUSIONS: Baseline and change in MR-proADM concentrations over one year are associated with risk of major clinical events, even after adjustment for BNP concentrations.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; Coronary heart disease; Heart failure; LIPID study; Midregional proadrenomedullin; Risk factors

Mesh:

Substances:

Year:  2014        PMID: 24508492     DOI: 10.1016/j.ijcard.2014.01.064

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  4 in total

1.  UMBRELLA protocol: systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure.

Authors:  Nikolaos P E Kadoglou; Marialena Trivella; Maria D L A Vazquez-Montes; Thomas P A Debray; Kathryn S Taylor; Benjamin Speich; Nicholas Jones; Gary S Collins; F D R Richard Hobbs; Emmanuella Magriplis; Hugo Maruri-Aguilar; Karel G M Moons; John Parissis; Rafael Perera; Nia Roberts; Clare J Taylor
Journal:  Diagn Progn Res       Date:  2020-08-26

Review 2.  Novel Biomarkers to Detect Target Organ Damage in Acute Hypertension.

Authors:  Stephen Boone; Dick Kuo
Journal:  Curr Hypertens Rep       Date:  2018-03-19       Impact factor: 5.369

3.  Can mid-regional pro-adrenomedullin (MR-proADM) increase the prognostic accuracy of NEWS in predicting deterioration in patients admitted to hospital with mild to moderately severe illness? A prospective single-centre observational study.

Authors:  Sara Graziadio; Rachel Amie O'Leary; Deborah D Stocken; Michael Power; A Joy Allen; A John Simpson; David Ashley Price
Journal:  BMJ Open       Date:  2019-02-22       Impact factor: 2.692

4.  Proadrenomedullin in Patients with Preserved Left Ventricular Systolic Function Undergoing Coronary Artery Bypass Grafting.

Authors:  Joanna Stanisz-Kempa; Zbigniew Gąsior; Andrzej Kułach
Journal:  Braz J Cardiovasc Surg       Date:  2022-05-02
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.