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Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations
Philip H Quanjer1, Sanja Stanojevic, Tim J Cole
1Dept of Pulmonary Diseases and Dept of Paediatrics, Erasmus Medical Centre, Erasmus University, Rotterdam, the Netherlands.
New global spirometry prediction equations provide age-dependent lower limits of normal for diverse ethnic groups. These lung function reference equations are applicable worldwide for individuals aged 3-95 years.
Area of Science:
- Pulmonary Medicine
- Global Health
- Biostatistics
Background:
- Spirometry is crucial for diagnosing respiratory diseases.
- Existing spirometric prediction equations often lack global applicability and diverse ethnic representation.
- The European Respiratory Society Global Lung Function Initiative aimed to address these limitations.
Purpose of the Study:
- To derive continuous, globally applicable spirometric prediction equations and their lower limits of normal.
- To establish reference equations for healthy non-smokers across various age groups and ethnicities.
Main Methods:
- Utilized over 160,000 spirometry data points from 72 centers in 33 countries.
- Applied the LMS method for simultaneous modeling of mean, coefficient of variation, and skewness.
- Derived reference equations for Caucasians, African-Americans, North Asians, and South East Asians aged 3-95 years.
Main Results:
- Established spirometric prediction equations for healthy individuals aged 3-95 years across four major ethnic groups.
- Found that Forced Expiratory Volume in 1 second (FEV1) and Forced Vital Capacity (FVC) differed proportionally between ethnic groups, while the FEV1/FVC ratio remained consistent.
- A composite equation was provided for individuals not represented by the primary groups.
Conclusions:
- Continuous spirometric prediction equations with age-dependent lower limits of normal are now available for global application.
- These equations facilitate more accurate interpretation of lung function across diverse populations.
- Future data collection from underrepresented regions will further enhance these global reference equations.
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