Assessing Bronchodilator Response by Changes in per Cent Predicted Forced Expiratory Volume in One Second Article Swipe
Octavian C. Ioachimescu
,
José Ramos
,
Michael S. Hoffman
,
Kevin McCarthy
,
James K. Stoller
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1136/jim-2020-001663
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1136/jim-2020-001663
In pulmonary function testing by spirometry, bronchodilator responsiveness (BDR) evaluates the degree of volume and airflow improvement in response to an inhaled short-acting bronchodilator (BD). The traditional, binary categorization (present vs absent BDR) has multiple pitfalls and limitations. To overcome these limitations, a novel classification that defines five categories (negative, minimal, mild, moderate and marked BDR), and based on % and absolute changes in forced expiratory volume in 1 s (FEV 1 ), has been recently developed and validated in patients with chronic obstructive pulmonary disease, and against multiple objective and subjective measurements. In this study, working on several large spirometry cohorts from two different institutions (n=31 598 tests), we redefined the novel BDR categories based on delta post-BD-pre-BD FEV 1 % predicted values. Our newly proposed BDR partition is based on several distinct intervals for delta post-BD-pre-BD % predicted FEV 1 using Global Lung Initiative predictive equations. In testing, training and validation cohorts, the model performed well in all BDR categories. In a validation set that included only normal baseline spirometries, the partition model had a higher rate of misclassification, possibly due to unrestricted BD use prior to baseline testing. A partition that uses delta % predicted FEV 1 with the following intervals ≤0%, 0%-2%, 2%-4%, 4%-8% and >8% may be a valid and easy-to-use tool for assessing BDR in spirometry. We confirmed in our cohorts that these thresholds are characterized by low variance and that they are generally gender-independent and race-independent. Future validation in other cohorts and in other populations is needed.
Related Topics
Concepts
Spirometry
Medicine
Bronchodilator
Vital capacity
Pulmonary function testing
Internal medicine
Cardiology
Physical therapy
Lung function
Asthma
Lung
Diffusing capacity
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/jim-2020-001663
- OA Status
- hybrid
- Cited By
- 10
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3127118763
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3127118763Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/jim-2020-001663Digital Object Identifier
- Title
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Assessing Bronchodilator Response by Changes in per Cent Predicted Forced Expiratory Volume in One SecondWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-02-11Full publication date if available
- Authors
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Octavian C. Ioachimescu, José Ramos, Michael S. Hoffman, Kevin McCarthy, James K. StollerList of authors in order
- Landing page
-
https://doi.org/10.1136/jim-2020-001663Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1136/jim-2020-001663Direct OA link when available
- Concepts
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Spirometry, Medicine, Bronchodilator, Vital capacity, Pulmonary function testing, Internal medicine, Cardiology, Physical therapy, Lung function, Asthma, Lung, Diffusing capacityTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2024: 3, 2023: 3, 2022: 2, 2021: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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