Published in:
Open Access 01-12-2022 | Spirometry | Research
Normal spirometry prediction equations for the Iranian population
Published in: BMC Pulmonary Medicine | Issue 1/2022
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Background
This study aimed to establish normative spirometric equations in a healthy population of Iranian children and adults, and compare these equations with those developed by the Caucasian Global Lung Initiative (GLI) for the first time.
Methods
Spirometric data from healthy Iranian aged 4–82 years sampled in 2019 were used to derive reference equations using the generalized additive model for location (mu), shape (lambda), and scale (sigma).
Results
A total of 418 females and 204 males were included in the study. Applying the GLI standards for the Iranian population resulted from the Z scores of FEV1, FVC, FEV1/FVC, and FEF25−75% was not different from zero. Based on the newly calculated LLN, eleven individuals showed significant values below the LLN for FEV1/FVC. In all age groups, this frequency was less than 5%, except for men over 70 years of age, which was 12.5%. There are significant differences between new data and GLI for Caucasian data.
Conclusion
It is recommended that the values and equations generated from this study should be used by physicians and technicians in their routine practice for the diagnosis and assessment of pulmonary disorders.