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Dataset Information

Normal spirometry prediction equations for the Iranian population.


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 significan

SUBMITTER: Sahebi L 

PROVIDER: S-EPMC9746105 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature