Metrics used in spirometry caught on in respiratory medicine not only because they provide information of clinical importance but also because of a keen understanding of what is being measured. The forced expiratory volume in 1 s (FEV), for example, is the maximal volume of air that can be expelled during the first second of a forced expiratory maneuver starting from a lung inflated to total lung capacity (TLC). Although it represents a very gross measurement of lung function, it is now used to guide the diagnosis and management of many lung disorders. Metrics used in oscillometry are not as concrete. Resistance, for example, has several connotations and its proper meaning in the context of a lung probed by an external device is not always intuitive. I think that the popularization of oscillometry and its firm implementation in respiratory guidelines starts with a keen understanding of what exactly is being measured. This review is an attempt to clearly explain the basic metrics of oscillometry. In my opinion, the fundamentals of oscillometry can be understood using a simple example of an excised strip of lung tissue subjected to a sinusoidal strain. The key notion is to divide the sinusoidal reacting force from the tissue strip into two sinusoids, one in phase with the strain and one preceding the strain by exactly a quarter of a cycle. Similar notions can then be applied to a whole lung subjected to a sinusoidal flow imposed at the mouth by an external device to understand basic metrics of oscillometry, including resistance, elastance, impedance, inertance, reactance and resonant frequency.
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http://dx.doi.org/10.3389/fphys.2022.978332 | DOI Listing |
BMC Pulm Med
December 2024
Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Objective: Currently, there has been no gold standard for diagnosing small airway dysfunction (SAdf). This study aimed to evaluate the correlation between small airway parameters derived from spirometry and oscillometry in hospitalized patients, assessing the potential of oscillometry as an alternative diagnostic tool for SAdf. Additionally, this study explored the inconsistencies and influencing factors related to spirometry and oscillometry in diagnosing SAdf, conducting a preliminary assessment of these factors.
View Article and Find Full Text PDFPediatr Pulmonol
January 2025
Department of Pediatrics, Children's Hospital of Orange County, Orange, California, USA.
Introduction: Identifying the asthmatic early to prevent permanent airway remodeling and the progression of the disease is desirable. In children, baseline impulse oscillometry has been found effective in identifying asthma in some studies but not others.
Objective: The purpose of our study was to utilize a meta-analysis to determine whether there were significant peripheral airway differences between asthmatic and non-asthmatic children across ethnicity/race, utilizing baseline impulse oscillometry (IOS) to establish its usefulness as a diagnostic tool in this age group.
J Asthma Allergy
October 2024
Department of Pulmonology, Hangzhou Children's Hospital, Hangzhou, Zhejiang, 310015, People's Republic of China.
Objective: We aimed to observe and analyze the differences in impulse oscillometry (IOS) and fractional expiratory nitric oxide (FeNO) in relation to asthma control among preschool children, and to explore the predictive value of IOS combined with FeNO for uncontrolled asthma.
Methods: This study enrolled 171 preschool children with asthma and 30 healthy preschool children between June 2022 and June 2023. We categorized the asthmatic children as having controlled asthma (n=85) and uncontrolled asthma (n=86) after a 3-month follow-up.
Physiol Rep
October 2024
Department of Medicine, University of California, San Diego, California, USA.
Vaping use has skyrocketed especially among young adults, however there is no consensus on how vaping impacts the lungs. We aimed to determine whether there were changes in lung function acutely after a standard vaping session or if there were differences in lung function metrics between a healthy never-vaping cohort (N = 6; 27.3 ± 3.
View Article and Find Full Text PDFPart Fibre Toxicol
October 2024
Division of Environmental Medicine, Grossman School of Medicine, New York University, New York, NY, USA.
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