Evidence map›Paper›PMID 39471662›Full record

ArticleComputers in biology and medicine2024

Biomechanics and clinical implications of Fontan upsizing.

Vijay Govindarajan, Akshita Sahni, Emily Eickhoff, Peter Hammer, David M Hoganson, Rahul H Rathod, Pedro J Del Nido

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Outcomes of a Physiology-driven Extracardiac Fontan Strategy Incorporating Computational Fluid Dynamics: A Multicentre Study.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2026
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Vijay GovindarajanDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, MA, USA; Department of Surgery, Harvard Medical School, Boston, MA, USA; Division of Cardiology, Department of Internal Medicine, The University of Texas Health Science Center at Houston, USA. Electronic address: Vijay.govindarajan@childrens.harvard.edu.
Akshita SahniDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, MA, USA.
Emily EickhoffDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, MA, USA.
Peter HammerDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
David M HogansonDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Rahul H RathodDepartment of Cardiology, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Pedro J Del NidoDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.

Funding

A Novel computational approach to optimize Fontan and improve surgical predictabilityR01HL161507 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI Vijay Govindarajan · 2022 to 2026
$3.0M
NHLBI NIH HHS R01 HL161507
6 · The paper itself

Abstract

backgroundThe Fontan operation, a palliative procedure for single ventricle patients, has evolved to improve outcomes and reduce complications. While extracardiac conduit (ECC) is favored for its simplicity and potential hemodynamic benefits, concerns arise about conduit size adequacy over time. Undersized ECC conduits may cause hemodynamic inefficiencies and long-term complications, while oversizing can lead to flow disturbances, stagnation, and thrombosis, necessitating surgical revision or upsizing to optimize hemodynamics.

objectivesThe study aimed to predict the impact of upsizing by developing a patient-specific workflow using cardiac magnetic resonance-based imaging and computational fluid dynamics to assess Fontan hemodynamic changes and determine the most optimal conduit size.

methodsWe simulated upsizing in patient-specific models, computing reduction in power loss (PL), and analyzed pressure gradients, wall shear stress (WSS), and other local flow dynamic parameters such as vorticity and viscous dissipation that influence PL in a Fontan. Additionally, we quantified the impact of upsizing on hepatic flow distribution (HFD).

resultsAcross the patient cohort, upsizing resulted in a PL reduction of 16 %-63 %, with the greatest reduction observed in patients with the smallest pre-existing conduit sizes (14 mm). The optimal conduit size for minimizing PL was highly patient-specific. For instance, a 20 mm conduit reduced PL by 63 % in one patient, while another patient showed 16 % reduction with upsizing. Pressure gradients decreased by 15 %-35 %, correlating with the reduction in PL, while WSS decreased consistently with upsizing. Vorticity and viscous dissipation exhibited more variability but followed the overall trend of reduced PL. HFD changes were modest with a maximum variation of 30 %.

conclusionsOur findings underscore the importance of individualized approaches in Fontan conduit upsizing. CFD-based quantitative evaluations of PL, pressure gradients, HFD, and WSS can guide optimal conduit sizing, improving long-term outcomes for patients.

Indexed as

Fontan ProcedureHemodynamicsModels, CardiovascularBiomechanical PhenomenaChildFemaleHumansMaleExtracardiac conduitFontan circulationFontan upsizingPower lossViscous dissipationVorticity

Identifiers

PMID39471662
PMCPMC11576229

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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.