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Prediction equations for spirometry in adults in western India
Unnati Desai1, Jyotsna M Joshi1, S K Chhabra2
1Department of Pulmonary Medicine, T.N. Medical College, B.Y.L. Nair Hospital, Mumbai, India.
The Indian Journal of Tuberculosis
|November 21, 2016
Summary
Updated spirometry prediction equations for adults in western India were developed using current standards. These equations are essential for accurate pulmonary function assessment in this population.
Area of Science:
- Pulmonology
- Respiratory Medicine
- Clinical Physiology
Background:
- Spirometry is crucial in pulmonology for assessing lung function.
- Predicted normal spirometry values are influenced by physiological factors.
- Existing spirometry equations may not accurately reflect current populations.
Purpose of the Study:
- To collect updated pulmonary function data in normal adults from western India.
- To develop new prediction equations for spirometry parameters.
- To provide current reference values for the West Indian population.
Main Methods:
- Prospective observational study in Mumbai with 310 healthy adults (18-75 years).
- Spirometry performed according to ATS/ERS-2005 guidelines.
- Statistical analysis included Pearson's correlation and multiple linear regressions.
Main Results:
- Lung function values were higher in males than females.
- Age and height were significant predictors for spirometry parameters.
- New regression equations were established for FVC, FEV1, FEV1/FVC, PEFR, F25-75, F50, and F75.
Conclusions:
- Proposed regression equations for spirometry variables for the adult West Indian population.
- These updated equations meet the need for current reference standards.
- The study provides essential tools for accurate pulmonary function testing.
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