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Published on: April 8, 2022
Year in Review: Pulmonary Function Testing
1Mr. Haynes is affiliated with Pulmonary Function Laboratory, Elliot Health System, Manchester, New Hampshire, USA.
This review covers recent advances in pulmonary function testing, focusing on lung volumes, airflow obstruction, bronchodilator response, and race-neutral equations for better respiratory health assessment.
Area of Science:
- Pulmonology
- Respiratory Medicine
- Clinical Physiology
Background:
- Pulmonary function testing (PFT) has a long history, with many common tests developed before widespread computer use.
- Despite extensive use, optimal methods for performing, interpreting, and applying PFTs remain areas of active research and debate.
Purpose of the Study:
- To review recent publications on key aspects of pulmonary function testing.
- To discuss advancements in lung volume measurement, airflow obstruction classification, and bronchodilator responsiveness.
- To examine the implementation and impact of race-neutral reference equations in PFT.
Main Methods:
- Literature review of recently published papers in the field of pulmonary function testing.
- Synthesis of findings related to lung volume testing methodologies.
- Analysis of studies defining and grading airflow obstruction.
- Evaluation of research on the clinical utility of bronchodilator responsiveness.
- Review of studies on the development and application of race-neutral reference equations.
Main Results:
- Recent research continues to refine the performance and interpretation of lung volume testing.
- Newer definitions and grading systems for airflow obstruction are being explored.
- The clinical significance of bronchodilator responsiveness is under ongoing investigation.
- The transition to race-neutral reference equations is a significant development in PFT.
Conclusions:
- Continued research is essential to optimize pulmonary function testing practices.
- Standardization in performance, interpretation, and application of PFTs is crucial for accurate diagnosis and management.
- The adoption of race-neutral equations represents a move towards more equitable respiratory health assessment.
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