Division of Respiratory Disease Studies, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia, USA.
Int J Tuberc Lung Dis. 2010 Jul;14(7):796-805.
This report reviews methods applicable in workplace spirometry monitoring for the identification of individuals with excessive lung function decline. Specific issues addressed include 1) maintaining longitudinal spirometry data precision at an acceptable level so that declines due to adverse physiological processes in the lung can be readily detected in an individual; 2) applying interpretative strategies that have a high likelihood of identifying workers at risk of developing lung function impairment; and 3) enhancing effectiveness of spirometry monitoring for intervention and disease prevention. Applications in ongoing computerized spirometry monitoring programs are described that demonstrate approaches to improving spirometry data precision and quality, and facilitating informed decision-making on disease prevention.
本报告回顾了适用于工作场所肺功能监测的方法,以识别肺功能过度下降的个体。具体涉及的问题包括:1)维持可接受水平的纵向肺功能数据精度,以便能够轻易地在个体中检测到由于肺部不良生理过程引起的下降;2)应用具有高可能性识别出有发生肺功能损伤风险的工人的解释性策略;3)提高肺功能监测在干预和疾病预防方面的效果。本文描述了正在进行的计算机化肺功能监测计划中的应用,这些应用展示了如何提高肺功能数据的精度和质量,并有助于对疾病预防做出明智的决策。