用于分析工作场所预防或慢性阻塞性肺病治疗中肺活量数据的肺活量纵向数据分析软件 (SPIROLA)。

Eva Hnizdo, Tieliang Yan, Artak Hakobyan, Paul Enright, Lu-Ann Beeckman-Wagner, John Hankinson, James Fleming, Edward Lee Petsonk
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引用次数: 0

摘要

慢性阻塞性肺病(COPD)是导致发病和死亡的主要原因之一。为了预防慢性阻塞性肺病或改善治疗效果,通常建议在职业中可能接触到呼吸道危害因素的人以及在呼吸道疾病的医疗过程中定期进行肺活量测定。为了充分发挥肺活量监测在保护肺功能方面的潜力,必须保持可接受的纵向测量精度,应用解释策略及时发现测试结果异常或肺功能过度减退的个体,并利用结果对呼吸系统疾病的预防或治疗进行干预。我们介绍了新颖、易用的可视化分析软件--肺活量纵向数据分析软件(SPIROLA),该软件旨在协助医疗服务提供者进行上述方面的肺活量监测。将该软件应用于正在进行的基于工作场所肺活量的医疗监测项目中,有助于识别因测试质量下降而增加的肺活量数据变异性,以及干预后的改善情况,并有助于加强对肺功能过度下降者的识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment.

Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment.

Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment.

Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment.

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality. Periodic spirometry is often recommended for individuals with potential occupational exposure to respiratory hazards and in medical treatment of respiratory disease, to prevent COPD or improve treatment outcome. To achieve the full potential of spirometry monitoring in preserving lung function, it is important to maintain acceptable precision of the longitudinal measurements, apply interpretive strategies that identify individuals with abnormal test results or excessive loss of lung function in a timely manner, and use the results for intervention on respiratory disease prevention or treatment modification. We describe novel, easy-to-use visual and analytical software, Spirometry Longitudinal Data Analysis software (SPIROLA), designed to assist healthcare providers in the above aspects of spirometry monitoring. Software application in ongoing workplace spirometry-based medical monitoring programs helped to identify increased spirometry data variability due to deteriorating test quality and subsequent improvement following interventions, and helped to enhance identification of individuals with excessive decline in lung function.

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