Literature DB >> 21118363

A new device to monitor blood volume in hemodialysis patients.

Izumi Yoshida1, Katsunobu Ando, Yasuhiro Ando, Susumu Ookawara, Masayuki Suzuki, Hiroaki Furuya, Osamu Iimura, Daisuke Takada, Masaharu Kajiya, Takanori Komada, Honami Mori, Kaoru Tabei.   

Abstract

We developed a new optical device (Nikkiso) to assess changes through blood volume monitoring (BVM) during hemodialysis and were able to determine the ideal levels in which changes in blood volume percentage (BV%) occur among hemodialysis patients in one hemodialysis center. We evaluated both the reliability of BVM and these ideal levels in a multicenter group. The purpose of this manuscript is to develop a navigating system to set dry weight in a variety of situations as the final goal. First, based on the obtained BVM (BV%(BVM) ) measurements, the relationships between BV% and hematocrit (BV%(HT) ) and between BV% and CRIT-LINE (BV%(CLM) ; Hema Metrics, Kaysville, UT, USA) were then evaluated. In 30 hemodialysis patients, there was a close correlation between both BV%(BVM) vs. BV%(HT) and BV%(BVM) vs. BV%(CLM) (n=30, r=0.967, P<0.001, and n=36, r=0.7867, P<0.001, respectively). Second, BV% data were obtained from 464 treatment cases performed on 26 subjects in one satellite hemodialysis center on patients whose body weight was deemed clinically suitable. The formulas for the levels of BV% (standardized by the percent change in body weight at the end of hemodialysis treatment: BW%end) were determined. Finally, we revalidated the reliability of the above levels. A total of 1126 measurements were performed on 201 patients whose body weights were deemed suitable in seven hemodialysis centers. New ideal levels were then recalculated. We therefore conclude that BVM is a sufficiently accurate method of monitoring BV% in hemodialysis treatment. Most well-controlled hemodialysis patients display the same pattern of BV%/BW%end. Monitoring BV% during hemodialysis is beneficial for determining dry weight (DW).
© 2010 The Authors. Journal compilation © 2010 International Society for Apheresis.

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Year:  2010        PMID: 21118363     DOI: 10.1111/j.1744-9987.2010.00845.x

Source DB:  PubMed          Journal:  Ther Apher Dial        ISSN: 1744-9979            Impact factor:   1.762


  7 in total

1.  Differences in tissue oxygenation and changes in total hemoglobin signal strength in the brain, liver, and lower-limb muscle during hemodialysis.

Authors:  Susumu Ookawara; Kiyonori Ito; Yuichiro Ueda; Haruhisa Miyazawa; Hideyuki Hayasaka; Masaya Kofuji; Takayuki Uchida; Hiroki Ishii; Mitsutoshi Shindo; Taisuke Kitano; Akinori Aomatsu; Keiji Hirai; Yoshio Kaku; Taro Hoshino; Kaoru Tabei; Yoshiyuki Morishita
Journal:  J Artif Organs       Date:  2017-08-07       Impact factor: 1.731

2.  Differences in cerebral and hepatic oxygenation in response to intradialytic blood transfusion in patients undergoing hemodialysis.

Authors:  Saori Minato; Susumu Ookawara; Kiyonori Ito; Haruhisa Miyazawa; Hideyuki Hayasaka; Masaya Kofuji; Takayuki Uchida; Junki Morino; Shohei Kaneko; Katsunori Yanai; Yuko Mutsuyoshi; Momoko Matsuyama; Hiroki Ishii; Mitsutoshi Shindo; Taisuke Kitano; Akinori Aomatsu; Yuichiro Ueda; Keiji Hirai; Taro Hoshino; Yoshiyuki Morishita
Journal:  J Artif Organs       Date:  2019-07-24       Impact factor: 1.731

3.  Comparison of stroke volume measurements during hemodialysis using bioimpedance cardiography and echocardiography.

Authors:  Michael J Germain; Jyovani Joubert; Daniel O'Grady; Brian H Nathanson; Yossi Chait; Nathan W Levin
Journal:  Hemodial Int       Date:  2017-08-10       Impact factor: 1.812

4.  Effect of blood volume change related to intensity of intradialytic aerobic exercise on hemodialysis adequacy: a pilot study.

Authors:  Naoto Usui; Akimi Uehata; Junichiro Nakata; Akihito Inatsu; Atsuhiro Tsubaki; Masakazu Saitoh; Tomoko Izumi; Yasuo Chiba; Sho Kojima; Yusuke Suzuki
Journal:  Int Urol Nephrol       Date:  2021-10-19       Impact factor: 2.370

5.  Concordance of absolute and relative plasma volume changes and stability of Fcells in routine hemodialysis.

Authors:  Daniel Schneditz; Werner Ribitsch; Gernot Schilcher; Matthias Uhlmann; Yossi Chait; Vanessa Stadlbauer
Journal:  Hemodial Int       Date:  2015-08-05       Impact factor: 1.812

6.  Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.

Authors:  Sheetal Chaudhuri; Hao Han; Caitlin Monaghan; John Larkin; Peter Waguespack; Brian Shulman; Zuwen Kuang; Srikanth Bellamkonda; Jane Brzozowski; Jeffrey Hymes; Mike Black; Peter Kotanko; Jeroen P Kooman; Franklin W Maddux; Len Usvyat
Journal:  BMC Nephrol       Date:  2021-08-09       Impact factor: 2.388

7.  Optical and Electrical Characterization of Biocompatible Polymeric Lines for Hemodialysis Applications.

Authors:  Enrico Ravagli; Stefano Severi
Journal:  Materials (Basel)       Date:  2018-03-16       Impact factor: 3.623

  7 in total

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