The combined S velocity achieved from tricuspid annulus and pulmonary annulus with tissue Doppler imaging could predict the proximal right coronary artery occlusion in patients with inferior myocardial infarction

Aim: To investigate if combined S velocity (CSV) calculated from tricuspid annulus and pulmonary annulus with tissue Doppler imagingin individuals with acute inferior myocardial infarction were linked to proximal RCA lesions.Methods: The study comprised 48 patient who had been diagnosed with acute i...

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Bibliographic Details
Published in:Experimental biomedical research 2022-04, Vol.5 (2), p.194
Main Authors: Acar, Emrah, Ozgul, Neryan, Donmez, Ibrahim, Yalcin, Osman Yasin, Kayabas, Oguz, Alan, Sait, Izgi, Ibrahim Akin
Format: Article
Language:English
Subjects:
Coronary artery
Coronary vessels
Correlation analysis
Doppler effect
Heart
Heart attacks
Lungs
Myocardial infarction
Occlusion
Velocity
Ventricle
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Summary:Aim: To investigate if combined S velocity (CSV) calculated from tricuspid annulus and pulmonary annulus with tissue Doppler imagingin individuals with acute inferior myocardial infarction were linked to proximal RCA lesions.Methods: The study comprised 48 patient who had been diagnosed with acute inferior myocardial infarction and had culprit lesions in the right coronary artery. The RCA occlusion in Group A was proximal to the right ventricular branch, while the RCA occlusion in Group B was distant to the RV branch. The combined S velocity was tested, as well as other echocardiographic parameters.Results: In terms of metrics indicating right ventricular function, there were substantial disparities between the groups. A favorable association was established in the univariate correlation analysis between CSV and tissue Doppler imaging derived tricuspid annulus systolic velocity(St), pulmonary annulus motion velocity evaluated by TDI (PAMVUT), RV tricuspid annular plane systolic excursion(TAPSE), and fractional area change (FAC). CSV was identified as an independent predictor of proximal RCA occlusion in a multivariate logistic regression test. In the ROC analysis, CSV
ISSN:2618-6454
2618-6454
DOI:10.30714/j-ebr.2022275816