Imperial College London
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Dr Sara De Matteis

Faculty of Medicine, National Heart & Lung Institute

Honorary Clinical Senior Lecturer
 
 
 
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Contact

 

s.de-matteis

 
 
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Location

 

G51Emmanuel Kaye BuildingRoyal Brompton Campus

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Summary

 

Publications

Citation

BibTex format

@article{Nafees:2022:10.1136/oemed-2021-107680,
author = {Nafees, AA and Muneer, MZ and De, Matteis S and Amaral, A and Burney, P and Cullinan, P},
doi = {10.1136/oemed-2021-107680},
journal = {Occupational and Environmental Medicine},
pages = {242--244},
title = {Impact of using different predictive equations on the prevalence of chronic byssinosis in textile workers in Pakistan},
url = {http://dx.doi.org/10.1136/oemed-2021-107680},
volume = {79},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:sec><jats:title>Objective</jats:title><jats:p>Byssinosis remains a significant problem among textile workers in low/middle-income countries. Here we share our experience of using different prediction equations for assessing ‘chronic’ byssinosis according to the standard WHO classification using measurements of forced expiratory volume in 1 s (FEV<jats:sub>1</jats:sub>).</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We enrolled 1910 workers in a randomised controlled trial of an intervention to improve the health of textile workers in Pakistan. We included in analyses the 1724 (90%) men who performed pre-bronchodilator spirometry tests of acceptable quality. We compared four different equations for deriving lung function percentage predicted values among those with symptoms-based byssinosis: the third US National Health and Nutrition Examination Survey (NHANES-III, with ‘North Indian and Pakistani’ conversion factor); the Global Lung Function Initiative (GLI, ‘other or mixed ethnicities’); a recent equation derived from survey of a western Indian population; and one based on an older and smaller survey of Karachi residents.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>58 men (3.4%) had symptoms-based byssinosis according to WHO criteria. Of these, the proportions with a reduced FEV<jats:sub>1</jats:sub> (<80% predicted) identified using NHANES and GLI; Indian and Pakistani reference equations were 40%, 41%, 14% and 12%, respectively. Much of this variation was eliminated when we substituted FEV<jats:sub>1</jats:sub>/forced vital capacity (FVC) ratio (<lower limit of normality) as a measure of airway obstruction.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Accurate measures
AU  - Nafees,AA
AU  - Muneer,MZ
AU  - De,Matteis S
AU  - Amaral,A
AU  - Burney,P
AU  - Cullinan,P
DO  - 10.1136/oemed-2021-107680
EP  - 244
PY  - 2022///
SN  - 1351-0711
SP  - 242
TI  - Impact of using different predictive equations on the prevalence of chronic byssinosis in textile workers in Pakistan
T2  - Occupational and Environmental Medicine
UR  - http://dx.doi.org/10.1136/oemed-2021-107680
UR  - http://hdl.handle.net/10044/1/92801
VL  - 79
ER  -
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