Unexpected dosing errors due to air bubbles in infusion lines with and without air filters.

IF 1.3 4区 医学 Q4 ENGINEERING, BIOMEDICAL
Maurits K Konings, Kelly Haaijer, Robin Gevers, Annemoon M Timmerman
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引用次数: 1

Abstract

The effect of the presence of an air bubble, inside an infusion line, on the time (Tnew) needed for a new medication to reach the patient after a syringe exchange was studied in this paper. If an air bubble escapes through an air filter, then a sudden drop in pressure occurs, causing a relaxation of the compressible part of the syringe, followed by a gradual restoration of the flow rate in the line. We modeled this phenomenon mathematically and measured it experimentally in vitro. In an example with a pump flow rate of 5 mL/h and an air bubble of 1 cm length inside an infusion line (diameter 1 mm) with an air filter, both theory and experiment yield an additional increase of at least 600% in delay time if a naive estimate (based on the size of the bubble alone) is replaced by a more realistic estimate incorporating compressibility. Furthermore, we show that an air bubble in a line without air filter may increase Tnew by a factor 2, depending on the initial position of the air bubble. We conclude that an air bubble in an infusion line causes delays that may not be expected by health care professionals.

由于有或没有空气过滤器的输液管中的气泡而导致的意外剂量错误。
本文研究了输液管内气泡的存在对换针后新药物到达患者所需时间(Tnew)的影响。如果气泡通过空气过滤器逸出,则压力会突然下降,导致注射器可压缩部分松弛,随后逐渐恢复管道中的流速。我们用数学模型模拟了这一现象,并在体外进行了实验测量。在一个泵流量为5ml /h的例子中,在带有空气过滤器的输液管(直径1mm)内有一个1cm长的气泡,如果用包含可压缩性的更现实的估计取代幼稚的估计(仅基于气泡的大小),理论和实验结果都表明延迟时间至少增加600%。此外,我们表明,在没有空气过滤器的管道中,气泡可能会使Tnew增加2倍,这取决于气泡的初始位置。我们的结论是,一个气泡在输注线造成延误,可能没有预期的卫生保健专业人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
5.90%
发文量
58
审稿时长
2-3 weeks
期刊介绍: Biomedical Engineering / Biomedizinische Technik (BMT) is a high-quality forum for the exchange of knowledge in the fields of biomedical engineering, medical information technology and biotechnology/bioengineering. As an established journal with a tradition of more than 60 years, BMT addresses engineers, natural scientists, and clinicians working in research, industry, or clinical practice.
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