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Published in: Journal of Clinical Monitoring and Computing 6/2018

01-12-2018 | Original Research

Experimental comparison of performances of Mega Acer Kit, Ranger and ThermoSens according to flow rates and distances

Authors: Hong Ju Seo, Sang Hun Kim, Tae Hun An, Dong Joon Kim

Published in: Journal of Clinical Monitoring and Computing | Issue 6/2018

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Abstract

We experimentally investigated the fluid warming performances of three warmers with different technology, according to flow rates and distances. We used the following intravenous fluid warmers: Mega Acer Kit (Group M, n = 8), Ranger (group R, n = 8), and ThermoSens (group T, n = 8). Fluids that had been stored in the operating room over the previous 24 h were delivered at sequent flow rates of from 440 mL/h up to 2500 mL/h through preheated warming devices. The fluid temperatures were recorded at the inlet point, 76-cm proximal (Pout1) and 166-cm distal outlet points (Pout2) every 1 min for 10 min. We repeated each test eight times. The delivered fluid temperature [mean (95% confidence interval)] was significantly higher in group M than group R and T at flow rates up to 650 mL/h with the highest value at 440 mL/h [34.30 (33.35–35.24)°C] (P < 0.001), and was higher in group T and R at flow rates over 1140 mL/h at Pout1 [36.67 (36.62–36.73)°C and 37.85 (37.52–38.17)°C at 2500 mL/h, respectively] (P < 0.001). It was significantly higher at the Pout1 than the Pout2 at all flow rates for each device (P < 0.001). Mega Acer Kit can warm fluid more effectively compared with ThermoSens and Ranger at the low flow rate whereas the ThermoSens and the Ranger are suitable at higher flow rates. Furthermore, the device performance is more effective with shorter extension lines.
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Metadata
Title
Experimental comparison of performances of Mega Acer Kit, Ranger and ThermoSens according to flow rates and distances
Authors
Hong Ju Seo
Sang Hun Kim
Tae Hun An
Dong Joon Kim
Publication date
01-12-2018
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 6/2018
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-017-9995-0

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