Evidence map›Paper›PMID 40385444›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Computational Fluid Dynamics Based Risk-Stratification of Modified Blalock-Taussig-Thomas Shunt Thrombogenicity.

Yi Qiao, Ethan Penn, Jacob Miller, Scott Bugenhagen, Ram Rohatgi, Kelsey Mercer, Blaire Kulp, Jinli Wang, Pirooz Eghtesady, Guy M Genin and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

12 authors.

Yi Qiao
Ethan Penn
Jacob Miller
Scott Bugenhagen
Ram Rohatgi
Kelsey Mercer
Blaire Kulp
Jinli Wang
Pirooz Eghtesady
Guy M Genin
Edon J RabinowitzORCID 0000-0003-4596-7445
David Bark

Funding

Impact of turbulence on blood in mechanical circulatory supportR01HL164424 · NHLBI · WASHINGTON UNIVERSITY · PI Matthew Kipper · 2022 to 2026
$2.0M
Paper-based high shear hemostatic analytical deviceR21EB034579 · NIBIB · WASHINGTON UNIVERSITY · PI BARK, DAVID · 2023 to 2024
$431k
NHLBI NIH HHS R01 HL164424NIBIB NIH HHS R21 EB034579
6 · The paper itself

Abstract

Background: The modified Blalock-Taussig-Thomas shunt (mBTTS) is a critical palliative procedure for infants with single-ventricle physiology, but thrombosis-related occlusion affects 8-12% of cases and carries nearly 50% mortality. Meanwhile, existing antithrombotic strategies fail to address the hemodynamic factors driving thrombosis, highlighting the need for a deeper understanding of flow dynamics in shunt failure. Objectives: This study aims to identify how mBTTS geometry influences hemodynamics and thrombosis risk, providing quantitative guidance for surgical planning and shunt design optimization. Methods: We used patient-specific imaging data to construct 54 idealized mBTTS configurations, systematically varying key geometric factors; pulmonary artery diameter, shunt diameter, and insertion angle. Using computational fluid dynamics, we analyzed how these variables influence wall shear rate (WSR), elongational strain rate (ESR), and turbulence intensity (TI); hemodynamic parameters known to affect thrombosis risk, to identify patterns linked to thrombosis. Results: We computationally identified optimal geometric configurations. Peak WSR and ESR were primarily located at bifurcation points, while peak TI was concentrated within the shunt channel. Shunt insertion distal to the right carotid artery with a 60° insertion angle and with a 4.0mm shunt graft demonstrated the most favorable hemodynamic profiles to prevent clots. Statistical analysis confirmed strong correlations between geometric parameters and flow characteristics. Conclusion: Results provide a framework for optimizing mBTTS design to reduce thrombosis risk based on hemodynamic risk factors, including actionable recommendations for shunt placement and design. These insights provide a foundation for hemodynamically guided surgical interventions with potential to improve survival rates in this high-risk patient population and for broader applications in cardiovascular surgery.

Identifiers

PMID40385444
PMCPMC12083574

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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.