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Simulation study on flow rate accuracy of infusion pumps in vibration conditions during emergency patient transport.

Authors :
Hong, Kwan Young
Kim, You Yeon
Yoo, Seung Yeon
Lee, Jong-Hwan
Kim, Duk Kyung
Min, Jeong-Jin
Source :
Journal of Clinical Monitoring & Computing; Dec2021, Vol. 35 Issue 6, p1253-1261, 9p
Publication Year :
2021

Abstract

Infusion pumps are frequently used when transferring critically ill patients via patient transport cart, ambulance, or helicopter. However, the performance of various infusion pumps under these circumstances has not been explored. The aim of this study was to evaluate the flow rate accuracy of infusion pumps under various clinical vibration conditions. Experiments were conducted with four different types of pumps, including two conventional syringe pumps (Injectomat MC Agilia, Fresenius Kabi and TE-331, Terumo), one conventional peristaltic pump (Volumed μVP7000; Arcomed), and one new cylinder pump (H-100, Meinntech). The flow rate was measured using an infusion pump analyzer on a stable table (0 m/s2) for 1 h with 1 ml/h and 5 ml/h. Experiments were repeated in mild vibration (2 m/s2) (representing vibration of patients in a moving stretcher or ambulance), and in moderate vibration (6 m/s2) (representing vibration in helicopter transport). Any accidental bolus occurrence in extreme vibration situations (20 m/s2) was also analyzed. Simulated vibrations were reproduced by a custom-made vibration table. In the resting state without vibration and in mild vibration conditions, all pumps maintained good performance. However, in moderate vibration, flow rates in syringe pumps increased beyond their known error ranges, while flow rates in peristaltic pumps remained stable. In extreme vibration, accidental fluid bolus occurred in syringe pumps but not in peristaltic pumps. The newly developed cylinder pump maintained stable performance and was unaffected by external vibration environments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13871307
Volume :
35
Issue :
6
Database :
Complementary Index
Journal :
Journal of Clinical Monitoring & Computing
Publication Type :
Academic Journal
Accession number :
153186654
Full Text :
https://doi.org/10.1007/s10877-020-00588-7