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Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry

  • Henkens, Michiel THM;
  • Weerts, Jerremy;
  • Verdonschot, Job AJ;
  • Raafs, Anne G;
  • Stroeks, Sophia;
  • Sikking, Maurits A;
  • Amin, Hesam;
  • Mourmans, Sanne GJ;
  • Geraeds, Chrit BG;
  • Wijk, Sandra Sanders-van;
  • Aizpurua, Arantxa Barandiaran;
  • Uszko-Lencer, Nicole HMK;
  • Krapels, Ingrid PC;
  • Wolffs, Petra FG;
  • Brunner, Han G;
  • Leeuwen, Rick EW;
  • Verhesen, Wouter;
  • Schalla, Simon M;
  • Stipdonk, Antonius WM;
  • Knackstedt, Christian;
  • And 8 more
Publication Date
Feb 04, 2022
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AIMS: Heart failure (HF) represents a clinical syndrome resulting from different aetiologies and degrees of heart diseases. Among these, a key role is played by primary heart muscle disease (cardiomyopathies), which are the combination of multifactorial environmental insults in the presence or absence of a known genetic predisposition. The aim of the Maastricht Cardiomyopathy registry (mCMP-registry; NCT04976348) is to improve (early) diagnosis, risk stratification, and management of cardiomyopathy phenotypes beyond the limits of left ventricular ejection fraction (LVEF). METHODS AND RESULTS: The mCMP-registry is an investigator-initiated prospective registry including patient characteristics, diagnostic measurements performed as part of routine clinical care, treatment information, sequential biobanking, quality of life and economic impact assessment, and regular follow-up. All subjects aged ≥16 years referred to the cardiology department of the Maastricht University Medical Center (MUMC+) for HF-like symptoms or cardiac screening for cardiomyopathies are eligible for inclusion, irrespective of phenotype or underlying causes. Informed consented subjects will be followed up for 15 years. Two central approaches will be used to answer the research questions related to the aims of this registry: (i) a data-driven approach to predict clinical outcome and response to therapy and to identify clusters of patients who share underlying pathophysiological processes; and (ii) a hypothesis-driven approach in which clinical parameters are tested for their (incremental) diagnostic, prognostic, or therapeutic value. The study allows other centres to easily join this initiative, which will further boost research within this field. CONCLUSIONS: The broad inclusion criteria, systematic routine clinical care data-collection, extensive study-related data-collection, sequential biobanking, and multi-disciplinary approach gives the mCMP-registry a unique opportunity to improve diagnosis, risk stratification, and management of HF and (early) cardiomyopathy phenotypes beyond the LVEF limits. / status: published

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