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Title: Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study
Authors: Lum, Sooky
Bountziouka, Vassiliki
Quanjer, Philip
Sonnappa, Samatha
Wade, Angela
Beardsmore, Caroline
Chhabra, Sunil K.
Chudasama, Rajesh K.
Cook, Derek G.
Harding, Seeromanie
Kuehni, Claudia E.
Prasad, K. V. V.
Whincup, Peter H.
Lee, Simon
Stocks, Janet
First Published: 27-Apr-2016
Publisher: Public Library of Science
Citation: PLoS One, 2016, 11 (4), e0154336
Abstract: Availability of sophisticated statistical modelling for developing robust reference equations has improved interpretation of lung function results. In 2012, the Global Lung function Initiative(GLI) published the first global all-age, multi-ethnic reference equations for spirometry but these lacked equations for those originating from the Indian subcontinent (South-Asians). The aims of this study were to assess the extent to which existing GLI-ethnic adjustments might fit South-Asian paediatric spirometry data, assess any similarities and discrepancies between South-Asian datasets and explore the feasibility of deriving a suitable South-Asian GLI-adjustment.
DOI Link: 10.1371/journal.pone.0154336
ISSN: 1932-6203
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright: © 2016 Lum et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Infection, Immunity and Inflammation

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