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Protocol of the Berlin Long-term Observation of Vascular Events (BeLOVE): a prospective cohort study with deep phenotyping and long-term follow up of cardiovascular high-risk patients

Authors :
Ulrike Grittner
Ulf Landmesser
Matthias Endres
David M Leistner
Burkert Pieske
Kai-Uwe Eckardt
Joachim Spranger
Jeanette Schulz-Menger
Sophie K Piper
Martin Witzenrath
Geraldine Rauch
Sein Schmidt
Vasan S Ramachandran
Christian H Nolte
Tobias Pischon
Dominik N Müller
Frank Edelmann
Leif-Hendrik Boldt
Norbert Hubner
Kai M Schmidt-Ott
Bob Siegerink
Joachim E Weber
Michael Ahmadi
Holger Gerhardt
Kathrin Haubold
Jil Kollmus-Heege
Knut Mai
Simrit Rattan
Katharina Schönrath
Oliver Schweizerhof
Source :
BMJ Open, Vol 13, Iss 10 (2023)
Publication Year :
2023
Publisher :
BMJ Publishing Group, 2023.

Abstract

Introduction The Berlin Long-term Observation of Vascular Events is a prospective cohort study that aims to improve prediction and disease-overarching mechanistic understanding of cardiovascular (CV) disease progression by comprehensively investigating a high-risk patient population with different organ manifestations.Methods and analysis A total of 8000 adult patients will be recruited who have either suffered an acute CV event (CVE) requiring hospitalisation or who have not experienced a recent acute CVE but are at high CV risk. An initial study examination is performed during the acute treatment phase of the index CVE or after inclusion into the chronic high risk arm. Deep phenotyping is then performed after ~90 days and includes assessments of the patient’s medical history, health status and behaviour, cardiovascular, nutritional, metabolic, and anthropometric parameters, and patient-related outcome measures. Biospecimens are collected for analyses including ‘OMICs’ technologies (e.g., genomics, metabolomics, proteomics). Subcohorts undergo MRI of the brain, heart, lung and kidney, as well as more comprehensive metabolic, neurological and CV examinations. All participants are followed up for up to 10 years to assess clinical outcomes, primarily major adverse CVEs and patient-reported (value-based) outcomes. State-of-the-art clinical research methods, as well as emerging techniques from systems medicine and artificial intelligence, will be used to identify associations between patient characteristics, longitudinal changes and outcomes.Ethics and dissemination The study was approved by the Charité—Universitätsmedizin Berlin ethics committee (EA1/066/17). The results of the study will be disseminated through international peer-reviewed publications and congress presentations.Study registration First study phase: Approved WHO primary register: German Clinical Trials Register: https://drks.de/search/de/trial/DRKS00016852; WHO International Clinical Registry Platform: http://apps.who.int/trialsearch/Trial2.aspx?TrialID=DRKS00016852. Recruitment started on July 18, 2017.Second study phase: Approved WHO primary register: German Clinical Trials Register DRKS00023323, date of registration: November 4, 2020, URL: http://www.drks.de/ DRKS00023323. Recruitment started on January 1, 2021.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
13
Issue :
10
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.6928f849c2c5480ebd61b441aa81f6d7
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2023-076415