Literature DB >> 23439177

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

Kaila A Topping1, George S Cembrowski.   

Abstract

Many self-monitoring of blood glucose (SMBG) systems have generated artefactually increased glucose results in low-hematocrit patients (e.g., intensive care unit and renal failure patients); conversely, these devices could produce artefactually decreased glucose results in high-hematocrit patients (e.g., neonates). The introduction of hematocrit-independent SMBG systems permits more accurate testing in anemic or polycythemic individuals. In this issue of Journal of Diabetes Science and Technology, Ramljak and coauthors have created glucose bias graphs for 19 common SMBG devices and declared certain systems to be optimally accurate because of insensitivity to hematocrit variation over a broad hematocrit range. Luckily, the average within-individual variation of hematocrit is low (between 2.9 and 3.3%). As such, a larger spectrum of SMBG devices can be regarded as optimally hematocrit independent.
© 2012 Diabetes Technology Society.

Entities:  

Mesh:

Year:  2013        PMID: 23439177      PMCID: PMC3692233          DOI: 10.1177/193229681300700124

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


  9 in total

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Journal:  Ann Clin Biochem       Date:  2007-07       Impact factor: 2.057

3.  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

4.  Foot-strike haemolysis after a 60-km ultramarathon.

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Journal:  Blood Transfus       Date:  2012-05-17       Impact factor: 3.443

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

Authors:  Martha E Lyon; Andrew W Lyon
Journal:  Clin Biochem       Date:  2011-01-19       Impact factor: 3.281

6.  Hemolysis induced by an extreme mountain ultra-marathon is not associated with a decrease in total red blood cell volume.

Authors:  P Robach; R-C Boisson; L Vincent; C Lundby; S Moutereau; L Gergelé; N Michel; E Duthil; L Féasson; G Y Millet
Journal:  Scand J Med Sci Sports       Date:  2012-06-05       Impact factor: 4.221

7.  Analytical and biological variation in measures of anemia and iron status in patients treated with maintenance hemodialysis.

Authors:  David B Van Wyck; Harry Alcorn; Resmi Gupta
Journal:  Am J Kidney Dis       Date:  2010-07-16       Impact factor: 8.860

8.  Reference ranges for hematocrit and blood hemoglobin concentration during the neonatal period: data from a multihospital health care system.

Authors:  Jeffery Jopling; Erick Henry; Susan E Wiedmeier; Robert D Christensen
Journal:  Pediatrics       Date:  2009-02       Impact factor: 7.124

9.  Intercurrent events and comorbid conditions influence hemoglobin level variability in dialysis patients.

Authors:  A L M DeFrancisco; I C Macdougall; F Carrera; J Braun; P Bárány; I Bridges; T Wheeler; D Tran; A Dietrich
Journal:  Clin Nephrol       Date:  2009-04       Impact factor: 0.975

  9 in total

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