Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction

  • Authors
  • Sánchez-Martinez, S.; Duchateau, N.; Erdei, T.; Fraser, A.; Piella, G.; Bijnens, B.H.
  • UPF authors
  • PIELLA FENOY, GEMA;
  • Type
  • Scholarly articles
  • Journal títle
  • European Heart Journal Cardiovascular Imaging
  • Publication year
  • 2015
  • Volume
  • 16
  • Number
  • S2
  • Pages
  • 0-0
  • ISSN
  • 2047-2404
  • Publication State
  • Published
  • Abstract
  • gt;50%, did not fulfill HFA criteria) and 22 healthy controls. Each stage of the stress protocol was independently analyzed by an unsupervised machine learning algorithm that spread the data according to their most relevant characteristics. Results: The use of exercise data resulted in a better separation of healthy controls and HFPEF subjects than using rest data (spec=86.3% vs. spec=81.8% while the sensitivity does not substantially change). Notably, the stress protocol identified critical breathless subjects, which during exercise get close to the HFPEF subgroup while they were not differentiated from controls at rest (p-value in the figure). Conclusion: The characterization of HFPEF is significantly improved by analyzing velocities acquired during exercise. The method has strong clinical potential to identify critical breathless subjects at an early stage.
  • Complete citation
  • Sánchez-Martinez, S.; Duchateau, N.; Erdei, T.; Fraser, A.; Piella, G.; Bijnens, B.H.. Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction. European Heart Journal Cardiovascular Imaging 2015; 16(S2).
Bibliometric indicators
  • Índex Scimago de 1.915(2015)