Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study.
<h4>Methods</h4>Spirometry datasets from South-Asian children were collated from four centres in India and five within the UK. Records with transcription errors, missing values for height or spirometry, and implausible values were excluded(n = 110).<h4>Results</h4>Following e...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0154336 |
| _version_ | 1818905113159270400 |
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| author | Sooky Lum Vassiliki Bountziouka Philip Quanjer Samatha Sonnappa Angela Wade Caroline Beardsmore Sunil K Chhabra Rajesh K Chudasama Derek G Cook Seeromanie Harding Claudia E Kuehni K V V Prasad Peter H Whincup Simon Lee Janet Stocks |
| author_facet | Sooky Lum Vassiliki Bountziouka Philip Quanjer Samatha Sonnappa Angela Wade Caroline Beardsmore Sunil K Chhabra Rajesh K Chudasama Derek G Cook Seeromanie Harding Claudia E Kuehni K V V Prasad Peter H Whincup Simon Lee Janet Stocks |
| author_sort | Sooky Lum |
| collection | DOAJ |
| description | <h4>Methods</h4>Spirometry datasets from South-Asian children were collated from four centres in India and five within the UK. Records with transcription errors, missing values for height or spirometry, and implausible values were excluded(n = 110).<h4>Results</h4>Following exclusions, cross-sectional data were available from 8,124 children (56.3% male; 5-17 years). When compared with GLI-predicted values from White Europeans, forced expired volume in 1s (FEV1) and forced vital capacity (FVC) in South-Asian children were on average 15% lower, ranging from 4-19% between centres. By contrast, proportional reductions in FEV1 and FVC within all but two datasets meant that the FEV1/FVC ratio remained independent of ethnicity. The 'GLI-Other' equation fitted data from North India reasonably well while 'GLI-Black' equations provided a better approximation for South-Asian data than the 'GLI-White' equation. However, marked discrepancies in the mean lung function z-scores between centres especially when examined according to socio-economic conditions precluded derivation of a single South-Asian GLI-adjustment.<h4>Conclusion</h4>Until improved and more robust prediction equations can be derived, we recommend the use of 'GLI-Black' equations for interpreting most South-Asian data, although 'GLI-Other' may be more appropriate for North Indian data. Prospective data collection using standardised protocols to explore potential sources of variation due to socio-economic circumstances, secular changes in growth/predictors of lung function and ethnicities within the South-Asian classification are urgently required. |
| first_indexed | 2024-12-19T21:18:10Z |
| format | Article |
| id | doaj.art-1023c847d3394164b90d879319d2b48b |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-19T21:18:10Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-1023c847d3394164b90d879319d2b48b2022-12-21T20:05:18ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01114e015433610.1371/journal.pone.0154336Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study.Sooky LumVassiliki BountzioukaPhilip QuanjerSamatha SonnappaAngela WadeCaroline BeardsmoreSunil K ChhabraRajesh K ChudasamaDerek G CookSeeromanie HardingClaudia E KuehniK V V PrasadPeter H WhincupSimon LeeJanet Stocks<h4>Methods</h4>Spirometry datasets from South-Asian children were collated from four centres in India and five within the UK. Records with transcription errors, missing values for height or spirometry, and implausible values were excluded(n = 110).<h4>Results</h4>Following exclusions, cross-sectional data were available from 8,124 children (56.3% male; 5-17 years). When compared with GLI-predicted values from White Europeans, forced expired volume in 1s (FEV1) and forced vital capacity (FVC) in South-Asian children were on average 15% lower, ranging from 4-19% between centres. By contrast, proportional reductions in FEV1 and FVC within all but two datasets meant that the FEV1/FVC ratio remained independent of ethnicity. The 'GLI-Other' equation fitted data from North India reasonably well while 'GLI-Black' equations provided a better approximation for South-Asian data than the 'GLI-White' equation. However, marked discrepancies in the mean lung function z-scores between centres especially when examined according to socio-economic conditions precluded derivation of a single South-Asian GLI-adjustment.<h4>Conclusion</h4>Until improved and more robust prediction equations can be derived, we recommend the use of 'GLI-Black' equations for interpreting most South-Asian data, although 'GLI-Other' may be more appropriate for North Indian data. Prospective data collection using standardised protocols to explore potential sources of variation due to socio-economic circumstances, secular changes in growth/predictors of lung function and ethnicities within the South-Asian classification are urgently required.https://doi.org/10.1371/journal.pone.0154336 |
| spellingShingle | Sooky Lum Vassiliki Bountziouka Philip Quanjer Samatha Sonnappa Angela Wade Caroline Beardsmore Sunil K Chhabra Rajesh K Chudasama Derek G Cook Seeromanie Harding Claudia E Kuehni K V V Prasad Peter H Whincup Simon Lee Janet Stocks Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study. PLoS ONE |
| title | Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study. |
| title_full | Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study. |
| title_fullStr | Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study. |
| title_full_unstemmed | Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study. |
| title_short | Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study. |
| title_sort | challenges in collating spirometry reference data for south asian children an observational study |
| url | https://doi.org/10.1371/journal.pone.0154336 |
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