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Published on: February 9, 2022
Spirometric reference values in healthy, non-smoking, urban Pakistani population
Muhammad Asif Memon1, Muhammad Perwaiz Sandila, Syed Tausif Ahmed
1Department of Physiology, Ziauddin Medical University, Karachi.
Summary
This study provides new lung function prediction equations and reference values for healthy Pakistani adults in Karachi. These findings are crucial for accurate pulmonary diagnosis in the region.
Area of Science:
- Pulmonary Medicine
- Public Health
- Biostatistics
Background:
- Accurate pulmonary function testing (PFT) reference values are essential for diagnosing respiratory diseases.
- Existing PFT equations may not accurately reflect diverse populations like Pakistani adults.
Purpose of the Study:
- To establish specific lung function prediction equations for Pakistani adults residing in Karachi.
- To determine appropriate normal reference values for spirometric parameters in this population.
Main Methods:
- Derived predicted equations from 504 healthy, non-smoking adults (321 males, 183 females, aged 15-65).
- Measured spirometric variables including forced vital capacity (FVC), forced expiratory volume in one second (FEV1), maximal mid expiratory flow (MMEF), and peak expiratory flow (PEF).
- Utilized regression analysis with height and age as predictors for both sexes.
Main Results:
- Pulmonary function parameters showed a negative correlation with age and a positive correlation with height.
- FEV1 and FVC exhibited the strongest negative correlation with age in males.
- FVC demonstrated the strongest positive correlation with height in females.
Conclusions:
- Developed a unique set of PFT reference values and prediction equations for urban Pakistani adults.
- These derived equations differ from previously established international prediction equations.
- The study provides a vital resource for respiratory health assessment in the Pakistani population.
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