Development of spirometry predictive values for Indian population

This dataset contains quantitative data. It has questionnaire and spirometry data collected from the healthy adult population from rural part of India. The purpose of this data collected is derive the predicted spirometry values for the population. 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

Webpage:
https://www.healthdatagateway.org/dataset/b6a60be1-5d94-41f9-a426-5f9523a98d50

Licence:
Name: HDR UK Innovation Gateway Access
URL: https://www.hdruk.ac.uk/infrastructure/gateway/terms-and-conditions/

Tags:

predictive values spirometry healthy

More to explore:

1/20

Previous Next   



Need help integrating and/or managing biomedical data?