caa a22 4500 605509514 CHVBK 20210128100641.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s10877-014-9566-6 doi (NATIONALLICENCE)springer-10.1007/s10877-014-9566-6 The use of a noninvasive hemoglobin monitor for determining fluid distribution and elimination in pediatric patients undergoing minor surgery [Elektronische Daten] [Qingquan Lian, Husong Li, Ruifeng Zeng, Junhui Lang, Wangning Shangguan, Huacheng Liu, Benfu Wang, Peter Rodhe, Christer Svensen] In pediatric fluid therapy it would be preferable to describe distribution and elimination a fluid bolus based on repetitive hemoglobin (Hb) according to kinetic principles. Pulse CO-Oximetry is a recent advancement in patient monitoring that allows for the continuous noninvasive measurement of Hb (SpHb). The aim of this study was to describe the distribution and elimination of hydroxyethylstarch (HES) 130/0.4 in combination with crystalloids using a noninvasive Hb monitor in two cohorts of young children undergoing minor surgeries under general anesthesia. Two cohorts, 16 children aged 1-3years and 12 aged 4-6years, were investigated during anesthesia and minor surgical procedures. They were given a maintenance solution of lactated Ringer's and a fluid bolus of HES 130/0.4, 6mL/kg over a period of 20min. The whole procedure lasted 120min, and SpHb values were measured every 10min. The SpHb values were used to calculate plasma dilution, net volume, and mean residence time (MRT) of the infused fluid. A total of 377 measured SpHbs generated individual dilution plots that showed variability, particularly for the older cohort. Distribution and elimination rates of the infused fluid were calculated. Mean dilution plots were generated. There were no significant differences in dilution, net volume or MRT between groups. A non invasive Hb analyzer could be used to calculate fluid distribution. The variability in the data can probably be explained by reactions to anesthetic drugs, variability in measurement technique, variability in generating the complex capillary signals, and individual variability in baseline fluid status. The latter finding is important because this is a prerequisite for perioperative fluid planning for each individual. Springer Science+Business Media New York, 2014 Fluids nationallicence Fluid therapy nationallicence Fluid distribution nationallicence Fluid elimination nationallicence Pharmacokinetics nationallicence Fluid balance nationallicence Lian Qingquan The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut Li Husong UTMB Health, Galveston, TX, USA aut Zeng Ruifeng The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut Lang Junhui The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut Shangguan Wangning The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut Liu Huacheng The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut Wang Benfu The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut Rodhe Peter Section of Anesthesiology and Intensive Care, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, 6th Floor, Sjukhusbacken 10, 118 83, Stockholm, Sweden aut Svensen Christer Section of Anesthesiology and Intensive Care, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, 6th Floor, Sjukhusbacken 10, 118 83, Stockholm, Sweden aut Journal of Clinical Monitoring and Computing Springer Netherlands 29/1(2015-02-01), 41-46 1387-1307 29:1<41 2015 29 10877 https://doi.org/10.1007/s10877-014-9566-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10877-014-9566-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lian Qingquan The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut NATIONALLICENCE 700 1- Li Husong UTMB Health, Galveston, TX, USA aut NATIONALLICENCE 700 1- Zeng Ruifeng The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut NATIONALLICENCE 700 1- Lang Junhui The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut NATIONALLICENCE 700 1- Shangguan Wangning The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut NATIONALLICENCE 700 1- Liu Huacheng The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut NATIONALLICENCE 700 1- Wang Benfu The Second Hospital and Yuying Children′s Hospital, Wenzhou Medical College, Wenzhou, China aut NATIONALLICENCE 700 1- Rodhe Peter Section of Anesthesiology and Intensive Care, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, 6th Floor, Sjukhusbacken 10, 118 83, Stockholm, Sweden aut NATIONALLICENCE 700 1- Svensen Christer Section of Anesthesiology and Intensive Care, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, 6th Floor, Sjukhusbacken 10, 118 83, Stockholm, Sweden aut NATIONALLICENCE 773 0- Journal of Clinical Monitoring and Computing Springer Netherlands 29/1(2015-02-01), 41-46 1387-1307 29:1<41 2015 29 10877