Literature DB >> 21255564

Patient acuity exacerbates discrepancy between whole blood and plasma methods through error in molality to molarity conversion: "Mind the gap!".

Martha E Lyon1, Andrew W Lyon.   

Abstract

OBJECTIVE: A mathematical constant factor is proposed to convert measured whole blood glucose molality to plasma-equivalent molarity. The objective of this study was to determine the distributions of conversion factors for groups of patients with different acuity and to assess the gap or error in plasma-equivalent glucose reporting that would occur when a mathematical constant conversion factor is used in patients.
METHODS: Distributions of hematocrit, red blood cell water and plasma water were determined in patients from the community, hospital and adult intensive care unit. Volume displacement conversion factor distributions and glucose error were determined for each group.
RESULTS: With increasing patient acuity the median hematocrit decreased, median plasma water increased and variation of these parameters increased. In hospital patients, the molality to molarity conversion factor distribution interval was 1.04-1.16, rather than a constant 1.11. Assuming direct electrode glucose devices only have error attributed to analytical imprecision (coefficient of variation of 5%), it is predicted that only 2% of community patients will have glucose results that exceed 10% of the target values. In the same device, due to variance in hematocrit and plasma water affecting the factor for conversion of molality to molarity, it is predicted that 8.2% of adult intensive care unit patients would have glucose results that exceed 10% of the target value.
CONCLUSIONS: Changes in hematocrit and plasma water concentration are predicted to affect a gap or error between whole blood direct reading biosensors and central laboratory plasma methods. This error increases and becomes more variable as patient acuity increases.
Copyright © 2011 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21255564     DOI: 10.1016/j.clinbiochem.2011.01.005

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  12 in total

1.  Analysis of an electrochemical blood glucose monitoring system with hematocrit compensation: improved accuracy by design.

Authors:  Martha E Lyon; Andrew W Lyon
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

2.  Hematocrit interference of blood glucose meters for patient self-measurement.

Authors:  Sanja Ramljak; John Paul Lock; Christina Schipper; Petra B Musholt; Thomas Forst; Martha Lyon; Andreas Pfützner
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

3.  Determination of hematocrit interference in blood samples derived from patients with different blood glucose concentrations.

Authors:  Andreas Pfützner; Christina Schipper; Sanja Ramljak; Frank Flacke; Jochen Sieber; Thomas Forst; Petra B Musholt
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

4.  Within-individual hematocrit variations and self-monitoring of blood glucose.

Authors:  Kaila A Topping; George S Cembrowski
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

5.  Evaluation of hematocrit interference with MyStar extra and seven competitive devices.

Authors:  Filiz Demircik; Sanja Ramljak; Iris Hermanns; Anke Pfützner; Andreas Pfützner
Journal:  J Diabetes Sci Technol       Date:  2014-12-30

6.  Laboratory Evaluation of Linearity, Repeatability, and Hematocrit Interference With an Internet-Enabled Blood Glucose Meter.

Authors:  Filiz Demircik; Valeria Kirsch; Sanja Ramljak; Mario Vogg; Anke H Pfützner; Andreas Pfützner
Journal:  J Diabetes Sci Technol       Date:  2019-04-11

7.  Blood glucose meters employing dynamic electrochemistry are stable against hematocrit interference in a laboratory setting.

Authors:  Andreas Pfützner; Petra B Musholt; Christina Schipper; Filiz Demircik; Carina Hengesbach; Frank Flacke; Jochen Sieber; Thomas Forst
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

8.  Hematocrit compensation in electrochemical blood glucose monitoring systems.

Authors:  Maria Teodorczyk; Marco Cardosi; Steven Setford
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

9.  Evaluation of Hematocrit Influence on Self-Monitoring of Blood Glucose Based on ISO 15197:2013: Comparison of a Novel System With Five Systems With Different Hematocrit Ranges.

Authors:  Andrew Hattemer; Sami Wardat
Journal:  J Diabetes Sci Technol       Date:  2018-01-29

Review 10.  Interferences and Limitations in Blood Glucose Self-Testing: An Overview of the Current Knowledge.

Authors:  Michael Erbach; Guido Freckmann; Rolf Hinzmann; Bernhard Kulzer; Ralph Ziegler; Lutz Heinemann; Oliver Schnell
Journal:  J Diabetes Sci Technol       Date:  2016-08-22
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