Evidence map›Paper›PMID 42317202›Full record

ArticleJRSM cardiovascular disease

Isolated and combined effects of papillary muscle approximation and mitral annuloplasty in dilated left ventricles.

Gediminas Gaidulis, Kanika Kalra, Muralidhar Padala

Abstract read
In one paragraph

Article in JRSM cardiovascular disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gediminas GaidulisDepartment of Biomedical Engineering, University of Memphis, Memphis, TN, USA.ORCID https://orcid.org/0000-0002-9317-8160
Kanika KalraDivision of Cardiothoracic Surgery, Emory University School of Medicine, Atlanta, GA, USA.ORCID https://orcid.org/0009-0007-1948-4649
Muralidhar PadalaNyra Medical, Inc., Atlanta, GA, USA.ORCID https://orcid.org/0000-0003-4304-2449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Functional mitral regurgitation (FMR) remains challenging to repair surgically, as highlighted by the Cardiothoracic Surgical Trials Network (CTSN) trial, which showed limited durability of mitral annuloplasty. We previously demonstrated in vivo and experimentally that papillary muscle approximation (PMA) can improve mitral valve (MV) function, with or without annuloplasty. In this study, we assessed valve biomechanics after PMA, mitral annuloplasty, and their combination in imaging-derived computational models. Methods: 3D echo images were obtained in three pigs with heart failure, dilated ventricles, and FMR. Each echo dataset was segmented, and a subject-specific computational model of the MV was created. Virtual FMR repair was performed on each valve using PMA, annuloplasty with true-sized (40 mm) and downsized (38 mm and 36 mm) rings, and a combination of both techniques. For each repair strategy, leaflet closure was simulated, and MV geometry and biomechanics at peak systole were evaluated. Results: Isolated PMA improved valve coaptation, reduced leaflet stresses and chordal tension forces, but failed to completely eliminate FMR. Isolated mitral annuloplasty also improved coaptation, but overall provided only limited geometric and biomechanical benefits. Combining annuloplasty and PMA resulted in the most favorable outcomes, eliminating FMR, increasing coaptation length (up to 97.7%), and reducing leaflet stresses (up to 43.7%) and chordal forces (up to 43.0%). Conclusions: While both PMA and annuloplasty independently improved MV function, neither technique fully resolved FMR on its own. Their combination yielded the most favorable repair outcomes, eliminating FMR and significantly improving valve geometry and biomechanics without the need for excessive annular downsizing.

Indexed as

annuloplastycomputational modelingfinite element methodFunctional mitral regurgitationpapillary muscle approximation

Identifiers

PMID42317202
PMCPMC13272872

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.