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Employing the Forced Oscillation Technique for the Assessment of Respiratory Mechanics in Adults

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Variation Among Spirometry Interpretation Algorithms.

Katrina A D'Urzo¹, Florence Mok², Anthony D D'Urzo³

¹School of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland.

Respiratory Care

|April 16, 2020

Summary

This summary is machine-generated.

Spirometry interpretation algorithms vary widely, complicating primary care diagnoses of asthma, COPD, and restrictive lung diseases. Standardization is needed for accurate clinical use.

Keywords:

clinician tools family medicine primary care respiratory illness spirometry interpretation algorithms variation

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Area of Science:

Pulmonary Medicine
Clinical Diagnostics
Health Informatics

Background:

Spirometry interpretation algorithms aim to standardize clinical practice.
Existing algorithms lack consensus for primary care use in diagnosing asthma, COPD, and restrictive disorders.

Purpose of the Study:

To identify and describe variability in spirometry interpretation algorithms.
To assess algorithm relevance for primary care management of common respiratory conditions.

Main Methods:

Systematic review of English-language spirometry algorithm literature (1990-2018).
Searches conducted in MEDLINE, Embase, and mainstream search engines.
Analysis of 26 identified spirometry interpretation algorithms based on predefined criteria.

Main Results:

Significant variability found in 26 spirometry interpretation algorithms.
Many algorithms lacked essential logic for postbronchodilator FEV1/FVC, bronchodilator challenges, or mixed/restrictive defect identification.
High percentages of algorithms were impractical for primary care or lacked prompts for further testing.

Conclusions:

Considerable variability exists among current spirometry interpretation algorithms.
There is a critical need for standardization of these algorithms in primary care settings.
Standardization would improve diagnostic accuracy and patient management for common respiratory diseases.