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Anomalous Differences Between the Global Lung Function Initiative 2023 and 2012 Spirometry Reference Values
Brian L Graham1, Veronica Marcoux1, Yet H Khor2
1Division of Respirology, Critical Care and Sleep Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
The 2023 Global Lung Function Initiative (GLI) spirometry values may overestimate lung volumes in adults and underestimate them in children due to ancestry weighting. This impacts lung function reference values across age groups.
Area of Science:
- Pulmonary Medicine
- Biostatistics
- Population Health
Background:
- The Global Lung Function Initiative (GLI) established spirometry reference values in 2012 based on international data from healthy individuals, stratified by sex, age, and height across four ancestral groups.
- In 2023, a unified set of predicted spirometry values was developed to be ancestry-independent for the entire GLI database.
Purpose of the Study:
- To investigate the impact of varying proportions of ancestral groups within age cohorts on predicted spirometry values derived from the 2012 and 2023 GLI equations.
- To assess the consequences of using inverse probability weighting in the 2023 GLI equations across the full age range (3.5 to 95 years).
Main Methods:
- Utilized the Global Lung Function Initiative (GLI) spirometry database, noting the overrepresentation of European ancestry (77.4%).
- Applied inverse probability weighting in the 2023 GLI equations to approximate equal contribution from the four ancestral groups.
- Analyzed the effect of this weighting strategy on predicted spirometry values across different age cohorts.
Main Results:
- Participant proportions from each ancestry group varied significantly across age cohorts.
- The European ancestry group, with the highest predicted lung volumes, had a disproportionately high contribution in younger children and older adults.
- GLI 2023 predicted lung volumes were higher in older adults and lower in children/adolescents compared to GLI 2012 predictions for individual ancestral groups.
Conclusions:
- The inverse weighting strategy in the 2023 GLI equations introduced systematic bias, skewing predicted spirometry values.
- This bias leads to progressively overestimated predicted lung volumes with increasing age in adults.
- Conversely, it results in progressively underestimated predicted lung volumes with increasing age in children and adolescents.
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