Development and evaluation of spirometry reference equations at high altitude.

Area of Science:

• Pulmonary Medicine
• High-Altitude Physiology
• Biostatistics

Background:

• Limited spirometry reference equations exist for the 400 million high-altitude residents globally.
• Accurate lung function assessment is crucial for this population.

Purpose of the Study:

• Develop and validate novel spirometry reference equations for high-altitude dwellers.
• Assess the applicability of these equations compared to existing benchmarks.

Main Methods:

• Cross-sectional study of 3174 healthy non-smokers (≥15 years) in Xinjiang and Tibet (2,100-4,700m).
• Pre- and post-bronchodilator spirometry measurements.
• Lambda-Mu-Sigma (LMS) method used to create equations, with spline functions for accuracy.
• Model fit assessed using Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and residual standard deviation.

Main Results:

• Developed gender-stratified spirometry reference equations utilizing age and height.
• Equations showed minimal MAE, MAPE, and residual standard deviation for most parameters.
• Demonstrated superior applicability to high-altitude residents compared to GLI, ECSC, and NHANES III benchmarks.

Conclusions:

• Novel spirometry reference equations are established for high-altitude populations.
• These equations offer improved accuracy and applicability for lung function assessment in these specific demographics.
• Addresses a critical gap in respiratory health monitoring for high-altitude dwellers.