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Imaging and Management of Heart Failure and Preserved Ejection Fraction.
Telles, Fernando; Marwick, Thomas H.
Afiliação
  • Telles F; Cardiovascular Imaging Research Group, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Marwick TH; Royal Prince Alfred Hospital, Sydney, Australia.
Curr Treat Options Cardiovasc Med ; 20(11): 90, 2018 Sep 27.
Article em En | MEDLINE | ID: mdl-30259312
ABSTRACT
PURPOSE OF REVIEW The prevalence of heart failure with preserved ejection fraction (HFpEF) is rising and in some places, it is already the most prevalent form of heart failure. The usual treatments of HF do not improve mortality or outcomes in HFpEF, suggesting a distinct pathophysiology that remains poorly characterized. The neutrality of clinical trial results is also attributable to the heterogeneity of patient profiles, and by poor characterization offered by classical echocardiography parameters. Emerging imaging modalities may overcome this problem. We therefore aimed to summarize recent advances offered by cardiovascular imaging in disease characterization, and the implication of findings to new phenotype-specific treatment options. RECENT

FINDINGS:

Novel cardiovascular imaging techniques such as LV global longitudinal strain, left atrial strain, tissue characterization by magnetic resonance T1 time, as well as incorporation of systolic and diastolic stress testing offer greatly improved characterization, diagnosis, and stratification of disease pathogenesis. These techniques offer insight into identification of HFpEF sub-phenotypes that are resistant to, or responsive to therapies. There is a growing body of evidence that novel cardiovascular imaging modalities are able to characterize HFpEF patients with much greater accuracy than current guideline-driven parameters. Whether this information can be synthesized to adequately stratify patients into sub-phenotypes with clearer disease pathogenesis amenable to targeted intervention will be of particular future interest.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article