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Establishment of a predictive equation for pulmonary ventilation function in school-aged children in northeast China:
Yong Feng1, Xiu-Hua Yu, Yu-Xin Song
1Department of Pediatric Respiratory Medicine, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Objectives:
To establish a predictive equation for commonly used pulmonary ventilation function parameters in children aged 6-<16 years in northeast China.
Methods:
A total of 504 healthy children from Liaoning, Jilin, and Heilongjiang provinces of China were selected for the prospective study, among whom there were 242 boys and 262 girls. The JAEGER MasterScreen Pneumo spirometer was used to measure pulmonary ventilation function. With the measured values of 10 parameters, including forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), FEV1/FVC ratio, and back-extrapolated volume (BEV), as dependent variables and age, body height, and body weight as independent variables, the stepwise multivariate regression method was used to establish the regression equation for children of different sexes. The mean of relative prediction error was used to evaluate the applicability of the predictive equation.
Results:
The boys aged 9-<10 years and 15-<16 years had significantly higher body height, FVC, and FEV1 than the girls of the same age (P<0.05), and the boys aged 9-<10, 10-<11, 11-<12, and 13-<14 years had a significantly lower FEV1/FVC ratio than the girls of the same age (P<0.05). The correlation analysis showed that all parameters, except FEV1/FVC ratio and BEV/FVC ratio, were significantly positively correlated with age, body height, and body weight (P<0.001). Further regression analysis showed that age and body height were the influencing factors for most parameters, while body weight was less frequently included in the regression equation. Compared with the predictive equations from previous studies, the regression equation established in this study had relatively good applicability in the study population.
Conclusions:
A new predictive equation for the main pulmonary ventilation function parameters has been established in this study for children aged 6-<16 years in northeast China, which provides a basis for accurate judgment of pulmonary function abnormalities in clinical practice.
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