Suppr超能文献

伊朗人群正常肺量测定预测公式。

Normal spirometry prediction equations for the Iranian population.

机构信息

Maternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.

Advanced Thoracic Research Center, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

BMC Pulm Med. 2022 Dec 12;22(1):472. doi: 10.1186/s12890-022-02273-8.

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 FEV, FVC, FEV/FVC, and FEF was not different from zero. Based on the newly calculated LLN, eleven individuals showed significant values below the LLN for FEV/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.

摘要

背景

本研究旨在建立伊朗健康人群的正常肺量计方程式,并首次将这些方程式与白种人的全球肺倡议(GLI)制定的方程式进行比较。

方法

2019 年采集的伊朗健康人群的肺量计数据,使用位置(mu)、形状(lambda)和比例(sigma)广义加性模型得出参考方程式。

结果

本研究共纳入 418 名女性和 204 名男性。应用 GLI 标准对伊朗人群进行评估,其 FEV、FVC、FEV/FVC 和 FEF 的 Z 分数与零无差异。根据新计算的 LLN,有 11 个人的 FEV/FVC 值显著低于 LLN。在所有年龄组中,这种频率均低于 5%,但 70 岁以上的男性除外,其频率为 12.5%。新数据与高加索人数据的 GLI 之间存在显著差异。

结论

建议医生和技术人员在常规实践中使用本研究生成的数值和方程,用于诊断和评估肺部疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4a0/9746105/ba58d228e926/12890_2022_2273_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验