Central Data Catalog


Type Journal Article - European Respiratory Journal
Title Development of spirometry predictive values for Western Indian population (NIHR-RESPIRE Study)
Volume 54
Issue suppl 63
Publication (Day/Month/Year) 2019
URL https://erj.ersjournals.com/content/54/suppl_63/PA701.abstract
Background: Interpretation of spirometry involves comparing lung function parameters with predicted values to determine the presence/severity of a disease. The ERS Global Lung Function Initiative (GLI) derived reference equations for healthy individuals aged 3–95 years from multiple populations but highlighted India as a ‘particular group’ in whom further data are needed.

Aim: To derive predictive equations for spirometry in Western Indian population.

Methodology: We used spirometry data from 2,500 healthy adults (18 years and over) from Vadu Health and Demographic Surveillance System population to develop predictive values for the Western Indian population. We constructed sex-stratified prediction equations for FEV1, FVC, and FEV1/FVC dependent on age and height using multiple regression methods.

Results: FEV1 and FVC values decrease as age increases in both males and females and values are higher in males than females. Prediction equations and scatter plots for both males and females are shown in Fig 1. Further analyses will use the Generalized Additive Model for Location, Scale and Shape (GALMSS) method to derive the best fitting model of each outcome as a function of age and height in males and females

Conclusion: These prediction equations can be used as reference values for future use in the Western Indian population and compared with equations of other Indian populations. These data can contribute to the ERS GLI.
Dhiraj Agarwal, Richard Parker , Sudipto Roy , Hilary Pinnock , Deesha Ghorpade , Sundeep Salvi , Parag Khatavkar , and Sanjay Juvekar. "Development of spirometry predictive values for Western Indian population (NIHR-RESPIRE Study)." European Respiratory Journal 54, no. suppl 63 (2019).
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