posted on 2016-05-12, 15:27authored bySooky 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
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.
Funding
This work was supported by the Wellcome Trust [WT094129MA (SLum); 068362/Z/02/Z(PHW)], Asthma UK [10/013(JS); 07/048(CEK)], Indian Council of Medical Research(SS), The Swiss National Science Foundation (CEK) [32003B-122341; 32003B_144068, PZ00P3_147987/1, PDFMP3-123162] and the Medical Research Council (SH) [MC_U130015185/MC_UU_12017/1]. The SLIC study team acknowledges the support of the National Institute for Health Research (NIHR), through the Comprehensive Clinical Research Network and the NIHR Biomedical Research Centre at Great Ormond Street Hospital for Children NHS Foundation Trust and University College London.
History
Citation
PLoS One, 2016, 11 (4), e0154336
Author affiliation
/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Infection, Immunity and Inflammation