Prognostic value of tissue-tracking mitral annular displacement by speckle-tracking echocardiography in asymptomatic aortic stenosis patients with preserved left ventricular ejection ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-09-24

AUTHORS

Ikuko Teraguchi, Takeshi Hozumi, Hiroki Emori, Kazushi Takemoto, Suwako Fujita, Teruaki Wada, Manabu Kashiwagi, Yasutsugu Shiono, Kunihiro Shimamura, Akio Kuroi, Takashi Tanimoto, Takashi Kubo, Atsushi Tanaka, Takashi Akasaka

ABSTRACT

BackgroundTissue-tracking mitral annular displacement (TMAD) by speckle-tracking echocardiography provides rapid and simple assessment of left ventricular (LV) longitudinal deformation. The purpose of this study was to evaluate the value of TMAD for the assessment of LV longitudinal deformation in patients with severe AS and preserved LV ejection fraction (LVEF).MethodsWe studied 44 patients with severe AS preserved and LVEF in whom TMAD was assessed. Using TMAD analysis software, the base-to-apex displacement of automatically defined mid-point of mitral annular line in four-chamber view was quickly assessed, and the percentage of its displacement to LV length at end-diastole (%TMAD) was calculated. We investigated the association between %TMAD and the cardiac events including appearance of symptom (dyspnea on exertion and hospitalization due to heart failure), decreased LVEF (< 50%), and cardiac death.ResultsDuring follow-up, the cardiac events developed in 16 (36%) of 44 patients. %TMAD was significantly impaired in patients with the cardiac events compared with those without the cardiac events (9.6 ± 1.9 vs 12.1 ± 2.6, p = 0.002). The cardiac events were predicted by %TMAD (HR 0.68, 95% CI 0.54–0.85; p = 0.0012).ConclusionsThe present study suggests that TMAD easily and rapidly estimated by speckle-tracking echocardiography may be used as a simple method to predict occurrence of the cardiac events in asymptomatic severe AS patients with preserved LVEF. More... »

PAGES

95-102

References to SciGraph publications

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URI

http://scigraph.springernature.com/pub.10.1007/s12574-020-00490-w

DOI

http://dx.doi.org/10.1007/s12574-020-00490-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1131141915

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32970310


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