ArticleJournal of the Saudi Heart Association2022
Role of Speckle Tracking Echocardiography to Predict Left Ventricular Dysfunction Post Mitral Valve Replacement Surgery for Severe Mitral Regurgitation.
Article in Journal of the Saudi Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Intraoperative global longitudinal strain and strain rate as predictors of unfavorable outcome following on-pump mitral surgery: a prospective observational study.Journal of anesthesia, analgesia and critical care · 2025Article
- Advances in cardiac ultrasound speckle tracking technology for assessing left ventricular systolic function after adjuvant radiotherapy following breast-conserving surgery for breast cancer.American journal of translational research · 2025Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Despite improvement in the surgical procedure and strictly following the guidelines for mitral valve replacement (MVR), left ventricular dysfunction still occurs. Novel echocardiographic indices can predict development of LV (left ventricle) dysfunction post MVR. LV-GLS (global longitudinal strain) derived from speckle tracking echocardiography, has been proposed as a novel measure to better depict latent LV dysfunction. Methods: A total of 100 patients with severe MR (mitral regurgitation) planned for MVR were included. Speckle tracking echocardiography was performed at baseline and at follow up post MVR. ROC (Receiver operating characteristics) curve was plotted to derive the cutoff value of LV-GLS for prediction of LV dysfunction post MVR. Univariate and multi variate regression was analyzed to predict the independent predictors of LV dysfunction after MVR. Results: LV-GLS was decreased from baseline data (-19.9 vs. -17.7) in patients with LVEF <50% after MVR compared to patients with LVEF≥ 50%. Baseline value of LVESD (35.36 mm vs. 28.23 mm) and LVEDD (49.33 mm vs. 45.10 mm) were significantly higher in patients with LVEF<50% compared to LVEF ≥50% at 3 months follow up. A cutoff value of GLS -19% with sensitivity of 80.3% and specificity of 75.7% was associated in patients with LV dysfunction after MVR. In multivariate regression model GLS < -19% (OR = 21.8, CI:6.61-82.4, P=<0.001) was an independent predictor of LV dysfunction post MVR. Conclusion: A GLS value of less than -19% was demonstrated as an independent predictor of short term LV dysfunction after mitral valve surgery, LVESD ≥40 mm was also verified additional parameter to predict the LV dysfunction post MVR.
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