Heart failure (HF) is the most rapidly increasing cardiovascular disease globally
and is associated with high rates of morbidity and mortality and high burden on health
systems.
1
HF is a clinical syndrome defined hemodynamically by the inability of the heart to
pump blood at a rate commensurate with metabolic demands or the ability of the heart
to meet metabolic demands only with high filling pressures.
2
There remains no single diagnostic test for the diagnosis of HF, and history, physical
examination, laboratory markers, and imaging are integrated to establish a diagnosis
and guide clinical management.
3
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Article info
Publication history
Published online: March 01, 2021
Accepted:
February 18,
2021
Received:
February 14,
2021
Footnotes
See article by Hirata et al., pages 1198–1206 of this issue.
See page 1155 for disclosure information.
Identification
Copyright
© 2021 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.
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Access this article on ScienceDirectLinked Article
- Deep Learning for Detection of Elevated Pulmonary Artery Wedge Pressure Using Standard Chest X-RayCanadian Journal of CardiologyVol. 37Issue 8
- PreviewTo accurately diagnose and control heart failure (HF), it is important to carry out a simple assessment of elevated pulmonary arterial wedge pressure (PAWP). The aim of this study was to develop and validate an objective method for detecting elevated PAWP by applying deep learning (DL) to a chest x-ray (CXR).
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