Imperial College London
Alternate

ProfessorElioRiboli

Faculty of Medicine, School of Public Health

Chair in Cancer Epidemiology and Prevention
 
 
 
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Contact

 

e.riboli Website CV

 
 
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Assistant

 

Ms Julieta Dourado +44 (0)20 7594 3426

 
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Location

 

152Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Leong:2022:10.1183/13993003.02962-2021,
author = {Leong, W-Y and Gupta, A and Hasan, M and Mahmood, S and Siddiqui, S and Ahmed, S and Goon, I and Loh, M and Mina, T and Lam, B and Yew, YW and Lee, J and Lee, ES and Riboli, E and Elliott, P and Tan, GP and Chotirmall, S and Wickremasinghe, A and Kooner, J and Irfan, K and Chambers, J},
doi = {10.1183/13993003.02962-2021},
journal = {European Respiratory Journal},
title = {Reference equations for evaluation of spirometry function tests in South Asia, and amongst South Asians living in other countries},
url = {http://dx.doi.org/10.1183/13993003.02962-2021},
volume = {60},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background:There is little data to accurate interpretation of spirometry data in SouthAsia, a major global region with high reported burden for chronicrespiratory disease.Method:We measured lung function in 7,453 healthy men and women aged over18 years, from Bangladesh, North India, South India, Pakistan and SriLanka, as part of the South Asia Biobank study. We first assessed theaccuracy of existing equations for predicting normal forced vital capacity(FVC), forced expiratory volume in 1s (FEV1), and FEV1/FVC ratio. Wethen used our data to derive (N=5,589) and internally validate(N=1,864) new prediction equations amongst South Asians, with furtherexternal validation amongst 339 healthy South Asians living inSingapore.Results:GLI2012 and NHANESIII consistently overestimated expiratory volumes(best fit GLI-SEA, mean [sd] z-score: FEV1 -1.29 [1.04]; FVC -1.12[1.12]). Age, height and weight were strong predictors of lung functionin our participants (P<0.001), and sex specific reference equations usingthese three variables were highly accurate in both internal validation (z-scores: FEV1 0.03 [0.99]; FVC 0.04 [0.97]; FEV1/FVC -0.03 [0.99]) andexternal validation (z-scores: FEV1 0.31 [0.99]; FVC 0.24 [0.97];FEV1/FVC 0.16 [0.91]). Further adjustment for study regions improvesthe model fit, with highest accuracy for estimation of region specific lungfunction in South Asia.Conclusion:We present improved equations for predicting lung function in SouthAsians. These offer the opportunity to enhance diagnosis andmanagement of acute and chronic lung diseases in this major globalpopulation.
AU  - Leong,W-Y
AU  - Gupta,A
AU  - Hasan,M
AU  - Mahmood,S
AU  - Siddiqui,S
AU  - Ahmed,S
AU  - Goon,I
AU  - Loh,M
AU  - Mina,T
AU  - Lam,B
AU  - Yew,YW
AU  - Lee,J
AU  - Lee,ES
AU  - Riboli,E
AU  - Elliott,P
AU  - Tan,GP
AU  - Chotirmall,S
AU  - Wickremasinghe,A
AU  - Kooner,J
AU  - Irfan,K
AU  - Chambers,J
DO  - 10.1183/13993003.02962-2021
PY  - 2022///
SN  - 0903-1936
TI  - Reference equations for evaluation of spirometry function tests in South Asia, and amongst South Asians living in other countries
T2  - European Respiratory Journal
UR  - http://dx.doi.org/10.1183/13993003.02962-2021
UR  - http://hdl.handle.net/10044/1/97834
VL  - 60
ER  -
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