2018
DOI: 10.12669/pjms.342.14162
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Collating Spirometry reference values in Asian children and Adolescents; puzzle out the reasons for variations

Abstract: Lung function tests are essential for the diagnosis and management of different respiratory tract diseases; among them the spirometry is the gold standard technique. The accurate diagnosis, management and monitoring require proper interpretation of the results which depends upon the availability of spirometry reference data for that particular region to differentiate the diseased condition from the normal ones. Multiple studies had been done to find out their own area specific reference ranges but it is still … Show more

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Cited by 2 publications
(3 citation statements)
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“…It has been proved that there is a direct relationship between the amount of forced exhalation volume for 1 second (FEV1), forced vital capacity of the lungs (FVC) and the mean expiratory flow (FEF 25-75%) with age, length and body weight [10]. In addition, a higher body mass index had a positive effect on the value of forced exhalation volume for 1 second (FEV1) and forced vital capacity (FVC) in the direction of their increase [15,18,20]. Thus, anthropometric indices are strong determinants of lung function change.…”
Section: Discussionmentioning
confidence: 98%
“…It has been proved that there is a direct relationship between the amount of forced exhalation volume for 1 second (FEV1), forced vital capacity of the lungs (FVC) and the mean expiratory flow (FEF 25-75%) with age, length and body weight [10]. In addition, a higher body mass index had a positive effect on the value of forced exhalation volume for 1 second (FEV1) and forced vital capacity (FVC) in the direction of their increase [15,18,20]. Thus, anthropometric indices are strong determinants of lung function change.…”
Section: Discussionmentioning
confidence: 98%
“…As there are multiple causal factors including age, sex, height weight, socioeconomic status cultural factors and biomass smoke exposure, that are responsible for significant variations in the range of spirometry variables among the populations. This created a confusion that which of the factor should keep as an independent variable while generating predictive equation15 and the current study developed a regression equation for children and adolescents, by putting age, height and weight as independent variables.…”
Section: Discussionmentioning
confidence: 99%
“…This created a confusion that which of the factor should keep as an independent variable while generating reference range. The association of age and height with the spirometry variables are established up to some extent but the exact correlation of weight is not yet cleared among Asian children and adolescents 15. So the aims of current study are to find out the association of weight, height and age with the spirometry variables and to generate a regression equation by taking weight as an independent variable beside age and height among children and adolescents of Karachi.…”
Section: Introductionmentioning
confidence: 99%