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

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 Vell...

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Autores principales: Christopher, Devasahayam J., Oommen, Anu M., George, Kuryan, Premkumar, Prasanna Samuel, Shankar, Deepa, Agrawal, Anurag, Thangakunam, Balamugesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298811/
https://www.ncbi.nlm.nih.gov/pubmed/37148014
http://dx.doi.org/10.4103/lungindia.lungindia_336_22
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author Christopher, Devasahayam J.
Oommen, Anu M.
George, Kuryan
Premkumar, Prasanna Samuel
Shankar, Deepa
Agrawal, Anurag
Thangakunam, Balamugesh
author_facet Christopher, Devasahayam J.
Oommen, Anu M.
George, Kuryan
Premkumar, Prasanna Samuel
Shankar, Deepa
Agrawal, Anurag
Thangakunam, Balamugesh
author_sort Christopher, Devasahayam J.
collection PubMed
description 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.
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spelling pubmed-102988112023-06-28 Rural South Indian spirometry values show wide variation compared to existing prediction equations Christopher, Devasahayam J. Oommen, Anu M. George, Kuryan Premkumar, Prasanna Samuel Shankar, Deepa Agrawal, Anurag Thangakunam, Balamugesh Lung India Original Article 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. Wolters Kluwer - Medknow 2023 2023-04-28 /pmc/articles/PMC10298811/ /pubmed/37148014 http://dx.doi.org/10.4103/lungindia.lungindia_336_22 Text en Copyright: © 2023 Indian Chest Society https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Christopher, Devasahayam J.
Oommen, Anu M.
George, Kuryan
Premkumar, Prasanna Samuel
Shankar, Deepa
Agrawal, Anurag
Thangakunam, Balamugesh
Rural South Indian spirometry values show wide variation compared to existing prediction equations
title Rural South Indian spirometry values show wide variation compared to existing prediction equations
title_full Rural South Indian spirometry values show wide variation compared to existing prediction equations
title_fullStr Rural South Indian spirometry values show wide variation compared to existing prediction equations
title_full_unstemmed Rural South Indian spirometry values show wide variation compared to existing prediction equations
title_short Rural South Indian spirometry values show wide variation compared to existing prediction equations
title_sort rural south indian spirometry values show wide variation compared to existing prediction equations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298811/
https://www.ncbi.nlm.nih.gov/pubmed/37148014
http://dx.doi.org/10.4103/lungindia.lungindia_336_22
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