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Airflow Simulations in Infant, Child, and Adult Pulmonary Conducting Airways

Overview of attention for article published in Annals of Biomedical Engineering, December 2017
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Title
Airflow Simulations in Infant, Child, and Adult Pulmonary Conducting Airways
Published in
Annals of Biomedical Engineering, December 2017
DOI 10.1007/s10439-017-1971-9
Pubmed ID
Authors

Jessica M. Oakes, Steven C. Roth, Shawn C. Shadden

Abstract

The airway structure continuously evolves from birth to adulthood, influencing airflow dynamics and respiratory mechanics. We currently know very little about how airflow patterns change throughout early life and its impact on airway resistance, namely because of experimental limitations. To uncover differences in respiratory dynamics between age groups, we performed subject-specific airflow simulations in an infant, child, and adult conducting airways. Airflow throughout the respiration cycle was calculated by coupling image-based models of the conducting airways to the global respiratory mechanics, where flow was driven by a pressure differential. Trachea diameter was 19, 9, and 4.5 mm for the adult (36 years, female), child (6 years, male), and infant (0.25 years, female), respectively. Mean Reynolds number within the trachea was nearly the same for each subject (1100) and Womersley number was above unity for all three subjects and largest for the adult, highlighting the significance of transient effects. In general, air speeds and airway resistances within the conducting airways were inversely correlated with age; the 3D pressure drop was highest in the infant model. These simulations provide new insight into age-dependent flow dynamics throughout the respiration cycle within subject-specific airways.

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The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 7 18%
Researcher 5 13%
Lecturer 3 8%
Professor 1 3%
Other 2 5%
Unknown 14 36%
Readers by discipline Count As %
Engineering 10 26%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 3 8%
Medicine and Dentistry 3 8%
Physics and Astronomy 3 8%
Other 3 8%
Unknown 14 36%