Literature DB >> 20046655

An automated discontinuous venous blood sampling system for ex vivo glucose determination in humans.

Roland Schaller1, Franz Feichtner, Hans Köhler, Manfred Bodenlenz, Johannes Plank, Andrea Wutte, Julia K Mader, Martin Ellmerer, Reinhard Hainisch, Thomas R Pieber, Lukas Schaupp.   

Abstract

BACKGROUND: Intensive insulin therapy reduces mortality and morbidity in critically ill patients but places great demands on medical staff who must take frequent blood samples for the determination of glucose levels. A cost-effective solution to this resourcing problem could be provided by an effective and reliable automated blood sampling (ABS) system suitable for ex vivo glucose determination.
METHOD: The primary study aim was to compare the performance of a prototype ABS system with a manual reference system over a 30 h sampling period under controlled conditions in humans. Two venous cannulae were inserted to connect the ABS system and the reference system. Blood samples were taken with both systems at 15, 30, and 60 min intervals and analyzed using a Beckman glucose analyzer. During the study, blood glucose levels were altered through four meal ingestions.
RESULTS: The median Pearson coefficient of correlation between manually and automatically withdrawn blood samples was 0.976 (0.953-0.996). The system error was -3.327 ± 5.546% (-6.03-0.49). Through Clark error grid analysis, 420 data pairs were analyzed, showing that 98.6% of the data were in zone A and 1.4% were in zone B. Insulin titration error grid analysis revealed an acceptable treatment in 100% of cases. A 17.5-fold reduction in the occurrence of blood-withdrawal failures through occluded catheters was moreover achieved by the added implementation in the ABS system of a "keep vein open" saline infusion.
CONCLUSIONS: Our study showed that the ABS system described provides a user-friendly, reliable automated means for reproducible and accurate blood sampling from a peripheral vein for blood glucose determination and thus represents a promising alternative to frequent manual blood sampling. © Diabetes Technology Society

Entities:  

Keywords:  automated; blood; ex vivo; glucose; monitoring; sampling

Mesh:

Substances:

Year:  2009        PMID: 20046655      PMCID: PMC2769855          DOI: 10.1177/193229680900300112

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  21 in total

1.  Accuracy of the 5-day FreeStyle Navigator Continuous Glucose Monitoring System: comparison with frequent laboratory reference measurements.

Authors:  Richard L Weinstein; Sherwyn L Schwartz; Ronald L Brazg; Jolyon R Bugler; Thomas A Peyser; Geoffrey V McGarraugh
Journal:  Diabetes Care       Date:  2007-03-02       Impact factor: 19.112

2.  Bedside monitoring of subcutaneous interstitial glucose in healthy individuals using microdialysis and infrared spectrometry.

Authors:  H Michael Heise; Uwe Damm; Manfred Bodenlenz; Venkata Radhakrishna Kondepati; Gerd Köhler; Martin Ellmerer
Journal:  J Biomed Opt       Date:  2007 Mar-Apr       Impact factor: 3.170

3.  Novel system for real-time ex vivo lactate monitoring in human whole blood.

Authors:  R J Gfrerer; G A Brunner; Z Trajanoski; L Schaupp; G Sendlhofer; F Skrabal; G Jobst; I Moser; G Urban; T R Pieber; P Wach
Journal:  Biosens Bioelectron       Date:  1998-12-01       Impact factor: 10.618

4.  In vitro optimisation of a microdialysis system with potential for on-line monitoring of lactate and glucose in biological samples.

Authors:  E Dempsey; D Diamond; M R Smyth; M A Malone; K Rabenstein; A McShane; M McKenna; T V Keaveny; R Freaney
Journal:  Analyst       Date:  1997-02       Impact factor: 4.616

5.  Clinical evaluation of alternative-site glucose measurements in patients after major cardiac surgery.

Authors:  Martin Ellmerer; Martin Haluzik; Jan Blaha; Jaromir Kremen; Stepan Svacina; Wolfgang Toller; Julia Mader; Lukas Schaupp; Johannes Plank; Thomas Pieber
Journal:  Diabetes Care       Date:  2006-06       Impact factor: 19.112

6.  Evaluating clinical accuracy of systems for self-monitoring of blood glucose.

Authors:  W L Clarke; D Cox; L A Gonder-Frederick; W Carter; S L Pohl
Journal:  Diabetes Care       Date:  1987 Sep-Oct       Impact factor: 19.112

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Toward continuous glucose monitoring with planar modified biosensors and microdialysis. Study of temperature, oxygen dependence and in vivo experiment.

Authors:  Francesco Ricci; Felice Caprio; Alessandro Poscia; Francesco Valgimigli; Dimitri Messeri; Elena Lepori; Giorgio Dall'Oglio; Giuseppe Palleschi; Danila Moscone
Journal:  Biosens Bioelectron       Date:  2006-09-26       Impact factor: 10.618

9.  Multicentric, randomized, controlled trial to evaluate blood glucose control by the model predictive control algorithm versus routine glucose management protocols in intensive care unit patients.

Authors:  Johannes Plank; Jan Blaha; Jeremy Cordingley; Malgorzata E Wilinska; Ludovic J Chassin; Cliff Morgan; Stephen Squire; Martin Haluzik; Jaromir Kremen; Stepan Svacina; Wolfgang Toller; Andreas Plasnik; Martin Ellmerer; Roman Hovorka; Thomas R Pieber
Journal:  Diabetes Care       Date:  2006-02       Impact factor: 19.112

10.  Evaluation of the VIA Blood Chemistry Monitor for Glucose in Healthy and Diabetic Volunteers.

Authors:  Arjunan Ganesh; Brian Hipszer; Navdeep Loomba; Barbara Simon; Marc C Torjman; Jeffrey Joseph
Journal:  J Diabetes Sci Technol       Date:  2008-03
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