Evidence map›Paper›PMID 36049059›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2022

Predicting tracheal work of breathing in neonates based on radiological and pulmonary measurements.

Chamindu C Gunatilaka, Erik B Hysinger, Andreas Schuh, Qiwei Xiao, Deep B Gandhi, Nara S Higano, Daniel Ignatiuk, Md M Hossain, Robert J Fleck, Jason C Woods and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Tracheomalacia Reduces Aerosolized Drug Delivery to the Lung.Journal of aerosol medicine and pulmonary drug delivery · 2024
    Article
  4. 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

11 authors at 2 institutions in 2 countries.

Chamindu C GunatilakaCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.ORCID 0000-0003-2713-6533
Erik B HysingerDivision of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Andreas SchuhDepartment of Computing, Imperial College London, London, United Kingdom.
Qiwei XiaoCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Deep B GandhiCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Nara S HiganoCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Daniel IgnatiukCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.ORCID 0000-0001-6960-8143
Md M HossainDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio.
Robert J FleckDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Jason C WoodsCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Alister J BatesCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.ORCID 0000-0002-8855-3448
Cincinnati Children's Hospital Medical Center · USImperial College London · GB

Funding

MRI Phenotyping of Severe BPD and Prediction of OutcomesR01HL146689 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI JASON C WOODS · 2019 to 2026
$4.6M
Improving Outcomes in Pediatric Obstructive Sleep Apnea with Computational Fluid DynamicsR00HL144822 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI BATES, ALISTER · 2022 to 2024
$747k
Improving Outcomes in Pediatric Obstructive Sleep Apnea with Computational Fluid DynamicsK99HL144822 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI BATES, ALISTER · 2019 to 2020
$310k
NHLBI NIH HHS K99 HL144822NHLBI NIH HHS R00 HL144822NHLBI NIH HHS R01 HL146689
6 · The paper itself

Abstract

Tracheomalacia is an airway condition in which the trachea excessively collapses during breathing. Neonates diagnosed with tracheomalacia require more energy to breathe, and the effect of tracheomalacia can be quantified by assessing flow-resistive work of breathing (WOB) in the trachea using computational fluid dynamics (CFD) modeling of the airway. However, CFD simulations are computationally expensive; the ability to instead predict WOB based on more straightforward measures would provide a clinically useful estimate of tracheal disease severity. The objective of this study is to quantify the WOB in the trachea using CFD and identify simple airway and/or clinical parameters that directly relate to WOB. This study included 30 neonatal intensive care unit subjects (15 with tracheomalacia and 15 without tracheomalacia). All subjects were imaged using ultrashort echo time (UTE) MRI. CFD simulations were performed using patient-specific data obtained from MRI (airway anatomy, dynamic motion, and airflow rates) to calculate the WOB in the trachea. Several airway and clinical measurements were obtained and compared with the tracheal resistive WOB. The maximum percent change in the tracheal cross-sectional area (ρ = 0.560,

Indexed as

TracheomalaciaWork of BreathingHumansInfant, NewbornLungTidal VolumeTracheacomputational fluid dynamicsneonatestracheomalaciaultrashort echo time magnetic resonance imagingwork of breathing

Identifiers

PMID36049059
PMCPMC9529254
OpenAlexW4294190232

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.