Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Description:
Spirometry is considered as a gold standard to detect the obstructive airway diseases (OADs) such as asthma and COPD. In India, use of spirometry among physicians and researchers to diagnose OADs is increasing day by day. Predictive values generated based on healthy population are used in interpretation of spirometry data. Currently, in India, most of the predicted values used in the spirometry data interpretation are based on predictive values from western populations. As no predictive values are available for the Indian population, physicians and researchers from India depend on the western countries guidelines such as ERS, ECHRS for the predictive values. A few attempts have been made to generate the predictive values for Indian population, but no conclusion has been drawn. We propose to use spirometry data from 2,500 adults from Vadu Health and Demographic Surveillance System (Vadu HDSS) population to develop the predictive values for the Western Indian population.
For further information, see: https://www.ed.ac.uk/usher/respire/chronic-respiratory-disorders/spirometry-predictive-values
Coverage
Spatial:
India,Punjab (India)
Typical Age Range:
18-150
Provenance
Temporal
Start Date:
08 January 2018
End Date:
31 July 2019
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Access is managed on a project-by-project basis. Contact the RESPIRE team: https://www.ed.ac.uk/usher/respire/about/projects
Delivery Lead Time:
Not applicable
Data Controller:
RESPIRE
Data Processor:
RESPIRE
Usage
Resource Creators:
RESPIRE Collaboration
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
CSV/PDF