Evidence map›Paper›PMID 33317957›Full record

ArticleThe Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation2021

A novel method of donor‒recipient size matching in pediatric heart transplantation: A total cardiac volume‒predictive model.

Nicholas A Szugye, Farhan Zafar, Nicholas J Ollberding, Chet Villa, Angela Lorts, Michael D Taylor, David L S Morales, Ryan A Moore

Abstract read
In one paragraph

Article in The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Evaluating predicted heart mass in adolescent heart transplantation.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2022
    Article
  6. Evidence supporting total cardiac volumes instead of weight for transplant size-matching.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2021
    Article
  7. Article
  8. Article
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

8 authors.

Nicholas A SzugyeCincinnati Children's Hospital Medical Center - Heart Institute, Cincinnati, Ohio. Electronic address: Nicholas.Szugye@cchmc.org.
Farhan ZafarCincinnati Children's Hospital Medical Center - Heart Institute, Cincinnati, Ohio.
Nicholas J OllberdingCincinnati Children's Hospital Medical Center - Heart Institute, Cincinnati, Ohio.
Chet VillaCincinnati Children's Hospital Medical Center - Heart Institute, Cincinnati, Ohio.
Angela LortsCincinnati Children's Hospital Medical Center - Heart Institute, Cincinnati, Ohio.
Michael D TaylorCincinnati Children's Hospital Medical Center - Heart Institute, Cincinnati, Ohio.
David L S MoralesCincinnati Children's Hospital Medical Center - Heart Institute, Cincinnati, Ohio.
Ryan A MooreCincinnati Children's Hospital Medical Center - Heart Institute, Cincinnati, Ohio.

Funding

Novel Methods to Grow the Impact of Pediatric Thoracic TransplantationR01HL147957 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CHIN, CLIFFORD, MORALES, DAVID L · 2019 to 2022
$2.3M
NHLBI NIH HHS R01 HL147957
6 · The paper itself

Abstract

backgroundThe pediatric heart transplant community uses weight-based donor-to-recipient size matching almost exclusively, despite no evidence to validate weight as a reliable surrogate of cardiac size. Donor size mismatch is the second most common reason for the refusal of donor hearts in current practice (∼30% of all refusals). Whereas case-by-case segmentation of total cardiac volume (TCV) by computed tomography (CT) for direct virtual transplantation is an attractive option, it remains limited by the unavailability of donor chest CT. We sought to establish a predictive model for donor TCV on the basis of anthropomorphic and chest X-ray (CXR) cardiac measures.

methodsBanked imaging studies from 141 subjects with normal CT chest angiograms were obtained and segmented using 3-dimensional modeling to derive TCV. CXR data were available for 62 of those subjects. A total of 3 predictive models of TCV were fit through multiple linear regression using the following variables: Model A (weight only); Model B (weight, height, sex, and age); Model C (weight, height, sex, age, and 1-view anteroposterior CXR maximal horizontal cardiac width).

resultsModel C provided the most accurate prediction of TCV (optimism corrected R

conclusionsTCV can be predicted accurately using readily available anthropometrics and a 1-view CXR from donor candidates. This simple and scalable method of TCV estimation may provide a reliable and consistent method to improve donor size matching.

Indexed as

Tissue DonorsTransplant RecipientsAdolescentAdultCardiac VolumeChildChild, PreschoolFemaleHeartHeart TransplantationHumansImaging, Three-DimensionalInfantInfant, NewbornMaleOrgan Size3D imagingpediatric heart failurepediatric heart transplantationsize matchingtotal cardiac volume

Identifiers

PMID33317957
PMCPMC7855742

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Registered trials

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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.