Evidence map›Paper›PMID 25734630›Full record

ArticlePloS one2015

Patient-specific modeling of regional antibiotic concentration levels in airways of patients with cystic fibrosis: are we dosing high enough?

Aukje C Bos, Cedric van Holsbeke, Jan W de Backer, Mireille van Westreenen, Hettie M Janssens, Wim G Vos, Harm A W M Tiddens

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03818646 (Functional Respiratory Imaging During Pulmonary Exacerbations in Adults With Non-cystic Fibrosis Bronchiectasis), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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.

NCT03818646 unknown statusnot on this mapstarted 2019, after this paper: background citation

Functional Respiratory Imaging During Pulmonary Exacerbations in Adults With Non-cystic Fibrosis Bronchiectasis

TypeobservationalSponsorPapworth Hospital NHS Foundation TrustRan2019 to 2019Enrolled10ConditionsBronchiectasisArmsFunctional Respiratory Imaging
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Computational fluid dynamics of the airways after left-upper pulmonary lobectomy: A case study.International journal for numerical methods in biomedical engineering · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Observational
  13. Article
  14. Differences in Particle Deposition Between Members of Imaging-Based Asthma Clusters.Journal of aerosol medicine and pulmonary drug delivery · 2019
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Aukje C BosDepartment of Pediatric Pulmonology, Erasmus Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands; Department of Radiology, Erasmus Medical Centre, Rotterdam, the Netherlands.
Cedric van HolsbekeFluidDA nv, Kontich, Belgium.
Jan W de BackerFluidDA nv, Kontich, Belgium.
Mireille van WestreenenDepartment of Medical Microbiology and Infectious Diseases, Erasmus Medical Centre, Rotterdam, the Netherlands.
Hettie M JanssensDepartment of Pediatric Pulmonology, Erasmus Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands.
Wim G VosFluidDA nv, Kontich, Belgium.
Harm A W M TiddensDepartment of Pediatric Pulmonology, Erasmus Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands; Department of Radiology, Erasmus Medical Centre, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPseudomonas aeruginosa (Pa) infection is an important contributor to the progression of cystic fibrosis (CF) lung disease. The cornerstone treatment for Pa infection is the use of inhaled antibiotics. However, there is substantial lung disease heterogeneity within and between patients that likely impacts deposition patterns of inhaled antibiotics. Therefore, this may result in airways below the minimal inhibitory concentration of the inhaled agent. Very little is known about antibiotic concentrations in small airways, in particular the effect of structural lung abnormalities. We therefore aimed to develop a patient-specific airway model to predict concentrations of inhaled antibiotics and to study the impact of structural lung changes and breathing profile on local concentrations in airways of patients with CF.

methodsIn- and expiratory CT-scans of children with CF (5-17 years) were scored (CF-CT score), segmented and reconstructed into 3D airway models. Computational fluid dynamic (CFD) simulations were performed on 40 airway models to predict local Aztreonam lysine for inhalation (AZLI) concentrations. Patient-specific lobar flow distribution and nebulization of 75 mg AZLI through a digital Pari eFlow model with mass median aerodynamic diameter range were used at the inlet of the airway model. AZLI concentrations for central and small airways were computed for different breathing patterns and airway surface liquid thicknesses.

resultsIn most simulated conditions, concentrations in both central and small airways were well above the minimal inhibitory concentration. However, small airways in more diseased lobes were likely to receive suboptimal AZLI. Structural lung disease and increased tidal volumes, respiratory rates and larger particle sizes greatly reduced small airway concentrations.

conclusionsCFD modeling showed that concentrations of inhaled antibiotic delivered to the small airways are highly patient specific and vary throughout the bronchial tree. These results suggest that anti-Pa treatment of especially the small airways can be improved.

Indexed as

Administration, InhalationAdolescentAnti-Bacterial AgentsAztreonamChildChild, PreschoolCystic FibrosisDrug Dosage CalculationsDrug MonitoringFemaleHumansLungMaleMicrobial Sensitivity TestsPatient-Specific ModelingPseudomonas aeruginosaAnti-Bacterial AgentsAztreonam

Identifiers

PMID25734630
PMCPMC4348481

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Registered trials

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.