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与现有的预测方程相比,印度南部农村地区的肺活量测定值显示出很大差异。

Rural South Indian spirometry values show wide variation compared to existing prediction equations.

作者信息

Christopher Devasahayam J, Oommen Anu M, George Kuryan, Premkumar Prasanna Samuel, Shankar Deepa, Agrawal Anurag, Thangakunam Balamugesh

机构信息

Department of Pulmonary Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Community Health Department, Christian Medical College, Vellore, Tamil Nadu, India.

出版信息

Lung India. 2023 May-Jun;40(3):193-199. doi: 10.4103/lungindia.lungindia_336_22.

Abstract

BACKGROUND AND OBJECTIVE

India, a highly heterogeneous country, has no common reference standards for predicting spirometry values, with very few recent studies from south India. This study aimed to create reference equations for rural south Indian adults, based on a population-based survey in Vellore, south India and compare it with other equations from India.

METHODS

The data from 583 non-smoking, asymptomatic participants (30 years and older) from a spirometry-based survey for airflow obstruction (rural Vellore, 2018), were used to develop equations for FEV1, FEV1/FVC, and FVC. The dataset was divided for development (70%) and validation (30%), by gender. Differences between observed and predicted values were assessed using the new equations and comparisons made with other equations from India.

RESULTS

Predictions with Vellore rural equations were closest to the previous south Indian equations from urban Bangalore. However, the Bangalore equations led to overestimation of FVC values in males, and of both FEV1 and FVC values in females. Using the rural Vellore equations also led to a higher percent of males being classified as having airflow obstruction, compared to the Bangalore equations which underestimated airflow obstruction in this rural population. Comparison with previously derived Indian equations from other parts of the country showed pronounced variations.

CONCLUSIONS

Our study reiterates the need for representative rural and urban studies of adults from various parts of India, to obtain region specific reference equations, given the wide variations in spirometry values in "normal" individuals, due to social heterogeneities of the Indian population and resulting complexities in defining normal.

摘要

背景与目的

印度是一个高度多样化的国家,没有用于预测肺功能测定值的通用参考标准,来自印度南部的近期研究极少。本研究旨在基于印度南部韦洛尔的一项基于人群的调查,为印度南部农村成年人创建参考方程,并将其与印度的其他方程进行比较。

方法

来自一项基于肺功能测定的气流受限调查(2018年,韦洛尔农村)的583名不吸烟、无症状参与者(30岁及以上)的数据,用于建立FEV1、FEV1/FVC和FVC的方程。数据集按性别分为开发组(70%)和验证组(30%)。使用新方程评估观察值与预测值之间的差异,并与印度的其他方程进行比较。

结果

韦洛尔农村方程的预测值与之前来自班加罗尔城市的印度南部方程最为接近。然而,班加罗尔方程导致男性FVC值高估,女性FEV1和FVC值均高估。与班加罗尔方程相比,使用韦洛尔农村方程还导致更高比例的男性被归类为有气流受限,而班加罗尔方程低估了该农村人群的气流受限情况。与该国其他地区先前得出的印度方程进行比较,显示出明显差异。

结论

我们的研究重申,鉴于印度人口的社会异质性以及由此导致的正常定义复杂性,“正常”个体的肺功能测定值存在广泛差异,因此需要对印度各地的成年人进行具有代表性的农村和城市研究,以获得特定区域的参考方程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/301a/10298811/8fd38d528a9c/LI-40-193-g001.jpg

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