Evidence map›Paper›PMID 28846719›Full record

ArticlePloS one2017

Aging effects on airflow dynamics and lung function in human bronchioles.

JongWon Kim, Rebecca L Heise, Angela M Reynolds, Ramana M Pidaparti

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 63 citations in OpenAlex.

  1. Human lungs fluid mechanics: an overview of current modelling techniques.The European physical journal. E, Soft matter · 2026
    Review
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  9. Review
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  13. Polydisperse Aerosol Transport and Deposition in Upper Airways of Age-Specific Lung.International journal of environmental research and public health · 2021
    Article
  14. Article
  15. Airflow and Particle Transport Prediction through Stenosis Airways.International journal of environmental research and public health · 2020
    Article
  16. A Review of Respiratory Anatomical Development, Air Flow Characterization and Particle Deposition.International journal of environmental research and public health · 2020
    Review
  17. Review
  18. A review of inflammatory mechanism in airway diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2019
    Review
  19. Article
  20. Evaluation of Ventilation-Induced Lung Inflammation Through Multi-Scale Simulations.IEEE journal of translational engineering in health and medicine · 2018
    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

4 authors at 3 institutions in 1 country.

JongWon KimCollege of Engineering, University of Georgia, Athens, Georgia, United States of America.
Rebecca L HeiseDepartment of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Angela M ReynoldsThe VCU Johnson Center, Virginia Commonwealth University Medical Center, Richmond, Virginia, United States of America.
Ramana M PidapartiCollege of Engineering, University of Georgia, Athens, Georgia, United States of America.
University of Georgia · USVirginia Commonwealth University · USVirginia Commonwealth University Medical Center · US

Funding

Age Dependent Mechanical Ventilator-Induced Inflammation: Modeling & ExperimentsR01AG041823 · NIA · VIRGINIA COMMONWEALTH UNIVERSITY · PI HEISE, REBECCA LONG, REYNOLDS, ANGELA MARIE · 2012 to 2015
$1.2M
NIA NIH HHS R01 AG041823
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe mortality rate for patients requiring mechanical ventilation is about 35% and this rate increases to about 53% for the elderly. In general, with increasing age, the dynamic lung function and respiratory mechanics are compromised, and several experiments are being conducted to estimate these changes and understand the underlying mechanisms to better treat elderly patients. MATERIALS AND

methodsHuman tracheobronchial (G1 ~ G9), bronchioles (G10 ~ G22) and alveolar sacs (G23) geometric models were developed based on reported anatomical dimensions for a 50 and an 80-year-old subject. The aged model was developed by altering the geometry and material properties of the model developed for the 50-year-old. Computational simulations using coupled fluid-solid analysis were performed for geometric models of bronchioles and alveolar sacs under mechanical ventilation to estimate the airflow and lung function characteristics.

findingsThe airway mechanical characteristics decreased with aging, specifically a 38% pressure drop was observed for the 80-year-old as compared to the 50-year-old. The shear stress on airway walls increased with aging and the highest shear stress was observed in the 80-year-old during inhalation. A 50% increase in peak strain was observed for the 80-year-old as compared to the 50-year-old during exhalation. The simulation results indicate that there is a 41% increase in lung compliance and a 35%-50% change in airway mechanical characteristics for the 80-year-old in comparison to the 50-year-old. Overall, the airway mechanical characteristics as well as lung function are compromised due to aging.

conclusionOur study demonstrates and quantifies the effects of aging on the airflow dynamics and lung capacity. These changes in the aging lung are important considerations for mechanical ventilation parameters in elderly patients. Realistic geometry and material properties need to be included in the computational models in future studies.

Indexed as

AgedAged, 80 and overAgingBronchiolesHumansLungMiddle AgedModels, BiologicalRespiratory Function Tests

Identifiers

PMID28846719
PMCPMC5573216
OpenAlexW2745829392

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.