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Rationale and design of the PREFERS (Preserved and Reduced Ejection Fraction Epidemiological Regional Study) Stockholm heart failure study: an epidemiological regional study in Stockholm county of 2.1 million inhabitants
Karolinska Inst, Dept Med, Stockholm, Sweden.;Karolinska Univ Hosp, Dept Cardiol, S-17176 Stockholm, Sweden..
Karolinska Univ Hosp, Dept Clin Physiol, Stockholm, Sweden.;Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
Karolinska Inst, Dept Med, Stockholm, Sweden.;Karolinska Univ Hosp, Dept Cardiol, S-17176 Stockholm, Sweden..
Karolinska Inst, Danderyd Hosp, Dept Clin Sci, Stockholm, Sweden.;Danderyd Hosp, Dept Cardiol, Stockholm, Sweden..
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2016 (English)In: European Journal of Heart Failure, ISSN 1388-9842, E-ISSN 1879-0844, Vol. 18, no 10, 1287-1297 p.Article in journal (Refereed) Published
Abstract [en]

AimsHeart failure (HF) with preserved (HFpEF) or reduced (HFrEF) ejection fraction is associated with poor prognosis and quality of life. While the incidence of HFrEF is declining and HF treatment is effective, HFpEF is increasing, with no established therapy. PREFERS Stockholm is an epidemiological study with the aim of improving clinical care and research in HF and to find new targets for drug treatment in HFpEF (). MethodsPatients with new-onset HF (n = 2000) will be characterized at baseline and after 1-year follow-up by standardized protocols for clinical evaluation, echocardiography, and ECG. In one subset undergoing elective coronary bypass surgery (n = 100) and classified according to LV function, myocardial biopsies will be collected during surgery, and cardiac magnetic resonance (CMR) imaging will be performed at baseline and after 1 year. Blood and tissue samples will be stored in a biobank. We will characterize and compare new-onset HFpEF and HFrEF patients regarding clinical findings and cardiac imaging, genomics, proteomics, and transcriptomics from blood and cardiac biopsies, and by established biomarkers of fibrosis, inflammation, haemodynamics, haemostasis, and thrombosis. The data will be explored by state-of-the-art bioinformatics methods to investigate gene expression patterns, sequence variation, DNA methylation, and post-translational modifications, and using systems biology approaches including pathway and network analysis. ConclusionsIn this epidemiological HF study with biopsy studies in a subset of patients, we aim to identify new biomarkers of disease progression and to find pathophysiological mechanisms to support explorations of new treatment regimens for HFpEF.

Place, publisher, year, edition, pages
2016. Vol. 18, no 10, 1287-1297 p.
Keyword [en]
Heart failure, Biomarkers, Echocardiography, Prognosis, Atrial fibrillation, Bioinformatics
National Category
Cardiac and Cardiovascular Systems
Identifiers
URN: urn:nbn:se:uu:diva-307725DOI: 10.1002/ejhf.599ISI: 000385710500014PubMedID: 27384611OAI: oai:DiVA.org:uu-307725DiVA: diva2:1048475
Available from: 2016-11-21 Created: 2016-11-21 Last updated: 2016-11-21Bibliographically approved

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