Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.

<h4>Background</h4>There have been few published studies on spirometric reference values for healthy children in China. We hypothesize that there would have been changes in lung function that would not have been precisely predicted by the existing spirometric reference equations. The obj...

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Autores principales:	Ya-Nan Ma, Jing Wang, Guang-Hui Dong, Miao-Miao Liu, Da Wang, Yu-Qin Liu, Yang Zhao, Wan-Hui Ren, Yungling Leo Lee, Ya-Dong Zhao, Qin-Cheng He
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3d371f1d071643bea7a0a451b6b41b86
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spelling	oai:doaj.org-article:3d371f1d071643bea7a0a451b6b41b862021-11-18T07:46:26ZPredictive equations using regression analysis of pulmonary function for healthy children in Northeast China.1932-620310.1371/journal.pone.0063875https://doaj.org/article/3d371f1d071643bea7a0a451b6b41b862013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23667682/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>There have been few published studies on spirometric reference values for healthy children in China. We hypothesize that there would have been changes in lung function that would not have been precisely predicted by the existing spirometric reference equations. The objective of the study was to develop more accurate predictive equations for spirometric reference values for children aged 9 to 15 years in Northeast China.<h4>Methodology/principal findings</h4>Spirometric measurements were obtained from 3,922 children, including 1,974 boys and 1,948 girls, who were randomly selected from five cities of Liaoning province, Northeast China, using the ATS (American Thoracic Society) and ERS (European Respiratory Society) standards. The data was then randomly split into a training subset containing 2078 cases and a validation subset containing 1844 cases. Predictive equations used multiple linear regression techniques with three predictor variables: height, age and weight. Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). The predicted values were compared with those obtained from the existing spirometric reference equations. The results showed the prediction equations using linear regression analysis performed well for most spirometric parameters. Paired t-tests were used to compare the predicted values obtained from the developed and existing spirometric reference equations based on the validation subset. The t-test for males was not statistically significant (p>0.01). The predictive accuracy of the developed equations was higher than the existing equations and the predictive ability of the model was also validated.<h4>Conclusion/significance</h4>We developed prediction equations using linear regression analysis of spirometric parameters for children aged 9-15 years in Northeast China. These equations represent the first attempt at predicting lung function for Chinese children following the ATS/ERS Task Force 2005 guidelines on spirometry standardization.Ya-Nan MaJing WangGuang-Hui DongMiao-Miao LiuDa WangYu-Qin LiuYang ZhaoWan-Hui RenYungling Leo LeeYa-Dong ZhaoQin-Cheng HePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 5, p e63875 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ya-Nan Ma Jing Wang Guang-Hui Dong Miao-Miao Liu Da Wang Yu-Qin Liu Yang Zhao Wan-Hui Ren Yungling Leo Lee Ya-Dong Zhao Qin-Cheng He Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.
description	<h4>Background</h4>There have been few published studies on spirometric reference values for healthy children in China. We hypothesize that there would have been changes in lung function that would not have been precisely predicted by the existing spirometric reference equations. The objective of the study was to develop more accurate predictive equations for spirometric reference values for children aged 9 to 15 years in Northeast China.<h4>Methodology/principal findings</h4>Spirometric measurements were obtained from 3,922 children, including 1,974 boys and 1,948 girls, who were randomly selected from five cities of Liaoning province, Northeast China, using the ATS (American Thoracic Society) and ERS (European Respiratory Society) standards. The data was then randomly split into a training subset containing 2078 cases and a validation subset containing 1844 cases. Predictive equations used multiple linear regression techniques with three predictor variables: height, age and weight. Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). The predicted values were compared with those obtained from the existing spirometric reference equations. The results showed the prediction equations using linear regression analysis performed well for most spirometric parameters. Paired t-tests were used to compare the predicted values obtained from the developed and existing spirometric reference equations based on the validation subset. The t-test for males was not statistically significant (p>0.01). The predictive accuracy of the developed equations was higher than the existing equations and the predictive ability of the model was also validated.<h4>Conclusion/significance</h4>We developed prediction equations using linear regression analysis of spirometric parameters for children aged 9-15 years in Northeast China. These equations represent the first attempt at predicting lung function for Chinese children following the ATS/ERS Task Force 2005 guidelines on spirometry standardization.
format	article
author	Ya-Nan Ma Jing Wang Guang-Hui Dong Miao-Miao Liu Da Wang Yu-Qin Liu Yang Zhao Wan-Hui Ren Yungling Leo Lee Ya-Dong Zhao Qin-Cheng He
author_facet	Ya-Nan Ma Jing Wang Guang-Hui Dong Miao-Miao Liu Da Wang Yu-Qin Liu Yang Zhao Wan-Hui Ren Yungling Leo Lee Ya-Dong Zhao Qin-Cheng He
author_sort	Ya-Nan Ma
title	Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.
title_short	Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.
title_full	Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.
title_fullStr	Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.
title_full_unstemmed	Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.
title_sort	predictive equations using regression analysis of pulmonary function for healthy children in northeast china.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/3d371f1d071643bea7a0a451b6b41b86
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Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.

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