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Validation of Previous Spirometric Reference Equations and New Equations

Title
Validation of Previous Spirometric Reference Equations and New Equations
Author
김태형
Keywords
Spirometry; Reference Equations; Predicted Values
Issue Date
2019-12
Publisher
KOREAN ACAD MEDICAL SCIENCES
Citation
JOURNAL OF KOREAN MEDICAL SCIENCE, v. 34, no. 47, article no. e304
Abstract
Background: Pulmonary functions are interpreted using predicted values from reference equations that vary with ethnicity, gender, age, height, and weight. The universally used Choi's reference equations are not validated for Korean populations, and the purpose of this study was to validate them and develop new reference equations. Methods: Subjects with normal spirometry and chest radiographs, no co-morbidities, and non-smokers, from the Korean National Health and National Examination Survey (KNHANES)-VI were enrolled (n = 117). Intraclass correlation coefficient (ICC) was assessed for reliability of reference equations. New reference equations were developed using linear regression analysis. Differences between observed and predicted values were assessed to compare the reference equations from Choi's, Global Lung Function Initiative 2012, KNHANES-IV, and newly developed equations. Results: The ICC of Choi's reference equations was 0.854 ( P < 0.001). The new reference equations for men were: forced vital capacity (FVC) (L) = - 4.38775 - 0.01184 x age + 0.05547 x height, forced expiratory volume - 1 second (FEV1) (L) = - 2.40147 - 0.02134 x age + 0.04103 x height; and for women: FVC (L) = - 3.09063 + 0.003904 x age + 0.038694 x height; FEV1 (L) = - 1.32933 - 0.00872 x age + 0.02762 x height. The differences between the predicted and observed means were largest in Choi's equations, but lowest in the new equations with highest goodness of fit. Conclusion: Because Choi's reference equations presented larger differences from the observed values, despite reliability, and the new reference equations showed better goodness of fit, we suggest the latter for Korean populations.
URI
https://jkms.org/DOIx.php?id=10.3346/jkms.2019.34.e304https://repository.hanyang.ac.kr/handle/20.500.11754/157944
ISSN
1011-8934; 1598-6357
DOI
10.3346/jkms.2019.34.e304
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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