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  • Title: Normal spirometry prediction equations for the Iranian population.
    Author: Sahebi L, Rahimi B, Shariat M, Mousavy SH, Hosseini M.
    Journal: BMC Pulm Med; 2022 Dec 12; 22(1):472. PubMed ID: 36510197.
    Abstract:
    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.
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