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370413

Myocardial Strain in Prediction of Outcomes after Surgery for Severe Mitral Regurgitation

Article

Last updated: 08 Feb 2025

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Abstract

Background: Severe primary mitral regurgitation (MR) poses a significant clinical challenge, and surgical correction is often necessary to improve outcomes. However, the ability to predict post-surgical results is still a critical concern. This research aimed to investigate the function of myocardial strain, specifically global longitudinal strain (GLS), in predicting outcomes after surgery for severe MR. Methods: This prospective cohort research was undertaken on 104 individuals with severe primary MR who had repair or replacement of the mitral valve. Transthoracic echocardiography and speckle-tracking analysis were conducted to assess myocardial strain. Results: Patients experiencing the primary endpoint (a composite of rehospitalization for heart failure, cardiac mortality, and redo surgery) demonstrated significantly lower baseline GLS (-14.1 ± 3.4 vs. -18.3 ± 2.5, P-value < 0.001) compared to those without the endpoint. ROC analysis exhibited that baseline GLS was an excellent predictor of the primary endpoint (AUC = 0.846, P-value < 0.001). Multivariate logistic regression confirmed that baseline GLS was a significant predictor of the primary endpoint (OR = 0.566, 95% CI = 0.445 – 0.719, P-value < 0.001). Kaplan-Meier analysis exhibited that patients with GLS ≤ 17.9 had significantly lower endpoint-free survival rates. Conclusion: GLS seems to be a more accurate predictor of cardiac events than all-cause mortality following surgery for severe MR. In patients with severe primary MR, measuring preoperative GLS is useful for predicting postoperative prognosis and deciding the appropriate schedule for surgery.

DOI

10.21608/bmfj.2024.274457.2032

Keywords

Mitral regurgitation, myocardial strain, global longitudinal strain, surgical correction, Echocardiography

Authors

First Name

Ahmed

Last Name

Bendary

MiddleName

-

Affiliation

Cardiology Department, Faculty of Medicine, Benha University, Benha, Egypt.

Email

ahmed.bendari@fmed.bu.edu.eg

City

-

Orcid

0000-0002-0161-3779

First Name

Mostafa

Last Name

Shoab

MiddleName

-

Affiliation

Cardiology Department, Faculty of Medicine, Benha University, Benha, Egypt.

Email

mostafashoab2891984@gmail.com

City

-

Orcid

-

First Name

Naema

Last Name

Elmeligy

MiddleName

-

Affiliation

Cardiology Department, Faculty of Medicine, Benha University, Benha, Egypt.

Email

neama2015m@yahoo.com

City

-

Orcid

-

First Name

Osama

Last Name

Sanad

MiddleName

-

Affiliation

Cardiology Department, Faculty of Medicine, Benha University, Benha, Egypt.

Email

osamasanad@hotmail.com

City

-

Orcid

-

Volume

42

Article Issue

2

Related Issue

53536

Issue Date

2025-02-01

Receive Date

2024-03-04

Publish Date

2025-02-01

Page Start

133

Page End

145

Print ISSN

1110-208X

Online ISSN

2357-0016

Link

https://bmfj.journals.ekb.eg/article_370413.html

Detail API

http://journals.ekb.eg?_action=service&article_code=370413

Order

624

Type

Original Article

Type Code

787

Publication Type

Journal

Publication Title

Benha Medical Journal

Publication Link

https://bmfj.journals.ekb.eg/

MainTitle

Myocardial Strain in Prediction of Outcomes after Surgery for Severe Mitral Regurgitation

Details

Type

Article

Created At

08 Feb 2025