Spirometric testing. Number of tests required and selection of data

Area of Science:

• Pulmonary Function Testing
• Respiratory Medicine
• Clinical Physiology

Background:

• Spirometry is essential for diagnosing and monitoring respiratory diseases.
• Standardization of spirometric testing protocols is crucial for reliable results.
• Current guidelines vary regarding the number of maneuvers and data selection methods.

Purpose of the Study:

• To determine the optimal number of maneuvers for forced vital capacity (FVC) testing.
• To compare the impact of using largest versus mean values for FVC and forced expiratory volume in the first second (FEV1).
• To evaluate different data selection algorithms for spirometric analysis.

Main Methods:

• Analysis of spirometric data from approximately 3,000 individuals over three years.
• Comparison of four data selection algorithms: average of best two of five, average of best two of three, best of five, and best of three maneuvers.
• Statistical analysis to assess differences between algorithms and years.

Main Results:

• No significant differences were found between the four tested algorithms for spirometric data selection.
• No significant differences were observed between any two years for any tested algorithm.
• The largest FEV1 and FVC values from three maneuvers proved adequate for analysis.

Conclusions:

• Requiring more than three maneuvers for FVC testing offers minimal additional benefit.
• Using the largest FEV1 and FVC values is as effective as using mean values or more complex algorithms.
• Simplifying spirometric testing protocols by using three maneuvers and the largest values can enhance efficiency without compromising accuracy.