Evidence map›Paper›PMID 39107489›Full record

ArticleAnnals of biomedical engineering2024

Development of a Simple Analytical Model to Facilitate Preoperative Surgical Planning in Valve-Sparing Aortic Root Replacement.

Dominic P Recco, Shannen B Kizilski, Wen Zhang, Nicholas E Kneier, Patrick D Earley, David M Hoganson, Christopher W Baird, Peter E Hammer

Abstract read
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Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

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4 · The record

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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

8 authors.

Dominic P ReccoDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0003-2306-6443
Shannen B KizilskiDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA, 02115, USA.
Wen ZhangDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA, 02115, USA.
Nicholas E KneierDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA, 02115, USA.
Patrick D EarleyDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA, 02115, USA.
David M HogansonDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA, 02115, USA.
Christopher W BairdDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA, 02115, USA.
Peter E HammerHarvard Medical School, Boston, MA, 02115, USA. Peter.Hammer@childrens.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeValve-sparing root replacement (VSRR) is attractive for aortic root dilation as it preserves the native aortic valve (AoV). Low effective height (eH) after reconstruction is a risk factor for repair failure and reoperation. We developed and validated a quantitative AoV repair strategy to reliably restore normal valve proportions to promote long-term function.

methodsNormal AoV proportions were used to derive geometric relationships for sinotubular junction diameter (D

resultsOur analytical models predicted eH using preoperative measurements and estimated reconstructed dimensions. The Oversized graft exhibited similar eH to Ideal but higher regurgitation in the ex vivo model, whereas the Undersized graft demonstrated lower eH and regurgitation. Plication in the Undersized graft restored valve function (regurgitation & eH) similar to Ideal in the ex vivo model and above Ideal in the analytical models. Both analytical models predicted ex vivo eH well except in the Oversized and Undersized + Plicated conditions.

conclusionUtilizing measurements from preoperative imaging and simple mathematical models, patient-specific operative plans for VSRR can be created by estimating valve dimensions necessary to achieve favorable valve features post-repair. Clinical application of this approach promises to improve consistency in achieving optimal long-term dimensions and durability.

Indexed as

Aortic ValveModels, CardiovascularAnimalsAortaHumansSwineAortic cusp geometryAortic valveAortic valve repairEffective height

Identifiers

PMID39107489

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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.