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Normal spirometry prediction equations for the Iranian population.
Sahebi, Leyla; Rahimi, Besharat; Shariat, Mamak; Mousavy, Seyyed Hosein; Hosseini, Mohsen.
Afiliación
  • Sahebi L; Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Rahimi B; Advanced Thoracic Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Shariat M; Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Mousavy SH; Municipality of Tehran, Tehran, Iran.
  • Hosseini M; School of medicine, Tehran University of Medical Science, Tehran, Iran. sorush140sr@gmail.com.
BMC Pulm Med ; 22(1): 472, 2022 Dec 12.
Article en En | MEDLINE | ID: mdl-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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pulmón Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Child / Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: BMC Pulm Med Año: 2022 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pulmón Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Child / Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: BMC Pulm Med Año: 2022 Tipo del documento: Article País de afiliación: Irán