监测哮喘发作的时间间隔控制图

Farrokh Alemi Ph.D. (Acting Assistant Dean of Graduate Health Science), Duncan Neuhauser Ph.D. (Professor)
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引用次数: 32

摘要

背景:监测呼气峰流量(PEFR)对哮喘的有效治疗至关重要。建议每天监测PEFR,但患者很少使用这些数据来帮助他们了解自己的进展情况或由临床医生修改治疗计划。时间间隔控制图已被证明特别适用于监测罕见事件,可用于监测哮喘发作。方法要求患者每天记录一次PEFR值,并用这些数据制作控制图。提出了三个先前报告病例的PEFR数据,并用于说明控制图方法。如果连续发作的持续时间被绘制出来,并且观察到的持续时间超过了上限控制限制(UCL),那么患者的病情正在恶化。如果绘制连续无症状天数,并且观察到的持续时间超过UCL,则患者正在好转。在这两种情况下,临床医生和患者探讨是什么导致了长时间的恢复或恶化。目标是增加下一次攻击前的时间。在监测哮喘发作时使用时间间隔控制图的优点是提供了一个可视化的数据显示,与肉眼观察趋势不同,它澄清了患者何时应该寻求额外的临床建议。控制限度允许临床医生和患者忽略随机变化,并关注哮喘发作潜在模式的实际变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-Between Control Charts for Monitoring Asthma Attacks

Background

The monitoring of peak expiratory flow rate (PEFR) is crucial for effective management of asthma. Daily PEFR monitoring is recommended, yet the data are rarely used by patients to help them understand their progress or by clinicians to modify treatment plans. Time-between control charts, which have been shown to be specially suited for monitoring rare events, can be used to monitor asthma attacks.

Methods

Each patient is asked to record his or her PEFR value once a day, and these data are used to construct the control chart. PEFR data for three previously reported cases are presented and used to illustrate the control chart methodology.

If duration of consecutive attacks is plotted and the observed duration exceeds the upper control limit (UCL), the patient is getting worse. If length of consecutive symptom-free days is plotted and the observed duration exceeds the UCL, the patient is getting better. In both circumstances, the clinician and the patient explore what brought about the prolonged recovery or periods of deterioration. The object is to increase time until the next attack.

Discussion

Using time-between control charts in monitoring asthma attacks has the advantage of providing a visual display of data that, unlike eyeballing of trends, clarifies when patients should seek additional clinical advice. The control limit allows clinicians and patients to ignore random variations and focus on real changes in underlying patterns of asthma attacks.

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