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Prediction of normal values in pulmonary function testing.

¹Division of Pulmonary and Critical Care Medicine, University of California, School of Medicine, San Diego.

Clinics in Chest Medicine

|June 1, 1989

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Selecting appropriate reference equations and limits for pulmonary function testing (PFT) is crucial for accurate clinical and research interpretation. Laboratories should validate chosen PFT prediction equations and methodologies with local population data.

Area of Science:

Pulmonary Medicine
Respiratory Physiology
Clinical Diagnostics

Background:

Pulmonary function testing (PFT) interpretation relies heavily on reference equations for predicting normal values.
The clinical and research utility of PFT is maximized by the appropriate selection and application of these predictive equations.
Existing research highlights the need for population-specific equations and potentially different limits of normalcy beyond traditional confidence intervals.

Purpose of the Study:

To emphasize the importance of selecting appropriate reference equations and limits of normalcy for pulmonary function testing.
To address the need for population-specific predictive equations and testing methodologies in PFT.
To propose a method for clinical laboratories to validate the appropriateness of their chosen PFT predictive equations and testing procedures.

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Main Methods:

The study suggests that clinical laboratories obtain PFT measurements from a small sample (10-20) of disease-free individuals representative of their patient population.
These local PFT measurements should be compared against the predictive equations and limits of normalcy selected for use.
This validation process aims to identify grossly inappropriate predictive values, limits, or testing methodology issues.

Main Results:

While a small sample size may not identify minor differences between prediction equations, it is effective in detecting significant discrepancies.
The proposed method can reveal major inadequacies in predictive values and limits of normalcy.
This approach also aids in identifying potential problems with the laboratory's PFT testing methodology.

Conclusions:

Establishing confidence in the chosen PFT predictive equations, limits of normalcy, and testing methodology is essential for accurate patient assessment.
Local validation by clinical laboratories is a practical step to ensure the appropriateness of PFT interpretation tools for their specific patient populations.
This validation process enhances the reliability and clinical utility of pulmonary function testing.