First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
Copyright 2016, American College of Chest Physicians. All Rights Reserved.
SESSION TITLE: Pulmonary Physiology
SESSION TYPE: Original Investigation Poster
PRESENTED ON: Saturday, April 16, 2016 at 11:45 AM - 12:45 PM
PURPOSE: Due to most Chinese living in the developing regions and lack of spirometry in the primary care settings, it is essential to establish appropriate reference values for peak expiratory flow meter (PEFM) in Chinese with a large sample size and wide age range, while PEFM is a simple and cost-effective detecting tool for asthma and airflow obstruction.
METHODS: Both spirometry and PEFM were performed in healthy non-smokers from 19 collaborative centers of different administrative regions in China. The relationships of PEF between PEFM and spirometry as a function of age and flow were revealed. Reference equations for PEFM were derived using the Lambda-Mu-Sigma (LMS) method, which allowed the values smooth in the entire age. The predicted values of this study were compared with those of previous studies.
RESULTS: 6447 eligible subjects aged 4 to 80 years (51.4% females) were recruited. The measured PEF of PEFM was slightly higher than that of spirometry in low flow and preschool age, but slightly lower than that of spirometry in high flow. The transformation for PEF among PEFM and spirometry was available. Reference equations for PEFM against age and height by gender were established. Moreover, the predicted values of this study were higher than those of Indians, but lower than those of Caucasians and Japanese.
CONCLUSIONS: This study reported the relationships and transformation for PEF among PEFM and spirometry, and established reference values for PEFM in contemporary Chinese with LMS method.
CLINICAL IMPLICATIONS: These could provide better interpretation of PEFM in self-management and primary care.
DISCLOSURE: The following authors have nothing to disclose: YI GAO, Wenhua Jian, Chuangli Hao, Ning Wang, Tao Ai, Chuanhe Liu, Yongjian Xu, Jian Kang, Yang Lan, Huahao Shen, Wei-jie Guan, Mei Jiang, Nanshan Zhong, Jin-ping Zheng
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