[HTML][HTML] Patient-specific modeling of regional antibiotic concentration levels in airways of patients with cystic fibrosis: are we dosing high enough?
AC Bos, C Van Holsbeke, JW De Backer… - PLoS …, 2015 - journals.plos.org
PLoS One, 2015•journals.plos.org
Background Pseudomonas 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 …
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 …
Background
Pseudomonas 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.
Methods
In- 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.
Results
In 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.
Conclusions
CFD 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.
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