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Global Lung Initiative 2012 spirometry reference values in a large Asian cohort of Malay, Chinese and Indian ancestry
Noraidatulakma Abdullah1, Boekhtiar Borhanuddin1, Shamsul A Shah1,2
1UKM Medical Molecular Biology Institute (UMBI), National University of Malaysia, Kuala Lumpur, Malaysia.
Background And Objective:
Although the multi-ethnic European Respiratory Society/Global Lung Initiative (ERS/GLI) 2012 reference values have been developed, the Taskforce has called for further validation specifically on subpopulations that were under represented such as the Malays, Chinese and Indians, in which the two latter ethnic groups represent about one-third of the world population. Thus, the aims of this study were to evaluate the appropriateness of the ERS/GLI 2012 reference values in a healthy adult Malaysian population and to construct a local lung function reference for the Malaysia population specific to the three major ethnic groups.
Methods:
Acceptable spirometry data were obtained from 30 281 healthy subjects aged 35-70 years comprising Malays, Chinese and Indians from the Malaysian Cohort. Local reference values were calculated using regression analysis and evaluated using ERS/GLI reference values to obtain GLI Z-scores.
Results:
The mean (SD) of the forced expiratory volume in 1 s (FEV1 ) for males were 2.67 (0.46), 2.89 (0.48) and 2.60 (0.46) and females were 1.91 (0.36), 2.13 (0.37) and 1.86 (0.35) for Malays, Chinese and Indians, respectively. For forced vital capacity (FVC), the mean (SD) for males were 3.03 (0.53), 3.28 (0.58) and 2.92 (0.53) and females were 2.15 (0.40), 2.38 (0.43) and 2.07 (0.41) for Malays, Chinese and Indians, respectively. The mean GLI Z-scores were less than -0.5 for FEV1 and FVC and more than 0.5 for FEV1 /FVC. A large percentage of subjects in all the three ethnic groups were defined lower than the lower limit of normal.
Conclusion:
This present and large multi-ethnic Asian-based study demonstrates clinically significant deviation from ERS/GLI 2012 equations for spirometry. It highlights the importance of validating predicted equations for spirometry in local populations.
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