Literature DB >> 8929820

Evaluation of the YSI 2300 glucose analyzer: algorithm-corrected results are accurate and specific.

J R Astles1, F A Sedor, J G Toffaletti.   

Abstract

OBJECTIVES: To insure commutability (equivalence) between whole blood and plasma glucose values and to assess potential interferences in glucose oxidase methods. DESIGN AND METHODS: We compared plasma glucose results by the Ektachem 700 analyzer to glucose results on whole blood by the Nova Stat Profile 6, and by the YSI 2300, both without hematocrit correction (YSIunc) and with two different hematocrit (Hct) corrections. The two correction methods were: (a) whole blood results multiplied by 1.11 (YSI1.11), and (b) whole blood results corrected for Hct with the programmed YSI algorithm (YSIcor). Several compounds were tested for interference.
RESULTS: 88% of YSIcor results agreed with plasma results within plus/minus 5%, and 78% of Nova and 74% of YSI1.11 results were within this limit. YSIcor results were unaffected by Hct and were valid even when erythrocyte size was abnormal. At low Hct, Nova results were falsely decreased, while YSI1.11 results were falsely elevated. The Ektachem was most affected by ascorbic acid, and the Nova was especially affected by acetaminophen.
CONCLUSIONS: The YSI algorithm-corrected whole blood glucose results were commutable with plasma results and the YSI was unaffected by the compounds tested, including acetaminophen and acetylsalicylic acid.

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Year:  1996        PMID: 8929820     DOI: 10.1016/0009-9120(95)02010-1

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


  14 in total

1.  Lot-to-lot variability of test strips and accuracy assessment of systems for self-monitoring of blood glucose according to ISO 15197.

Authors:  Annette Baumstark; Stefan Pleus; Christina Schmid; Manuela Link; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

2.  System accuracy evaluation of 43 blood glucose monitoring systems for self-monitoring of blood glucose according to DIN EN ISO 15197.

Authors:  Guido Freckmann; Christina Schmid; Annette Baumstark; Stefan Pleus; Manuela Link; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

3.  Blood glucose regulation during prolonged, submaximal, continuous exercise: a guide for clinicians.

Authors:  Matthew L Goodwin
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

4.  Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study.

Authors:  Adam G Tabák; Markus Jokela; Tasnime N Akbaraly; Eric J Brunner; Mika Kivimäki; Daniel R Witte
Journal:  Lancet       Date:  2009-06-08       Impact factor: 79.321

5.  Hyperglycemia, type 2 diabetes, and depressive symptoms: the British Whitehall II study.

Authors:  Mika Kivimaki; Adam G Tabak; G David Batty; Archana Singh-Manoux; Markus Jokela; Tasnime N Akbaraly; Daniel R Witte; Eric J Brunner; Michael G Marmot; Debbie A Lawlor
Journal:  Diabetes Care       Date:  2009-07-10       Impact factor: 19.112

6.  Genetic influences on the insulin response of the beta cell to different secretagogues.

Authors:  A M C Simonis-Bik; E M W Eekhoff; M H M de Moor; M H H Kramer; D I Boomsma; R J Heine; J M Dekker; J A Maassen; L M 't Hart; M Diamant; E J C de Geus
Journal:  Diabetologia       Date:  2009-10-03       Impact factor: 10.122

7.  Association of diurnal patterns in salivary cortisol with all-cause and cardiovascular mortality: findings from the Whitehall II study.

Authors:  Meena Kumari; Martin Shipley; Mai Stafford; Mika Kivimaki
Journal:  J Clin Endocrinol Metab       Date:  2011-02-23       Impact factor: 5.958

8.  Antidepressant medication use and risk of hyperglycemia and diabetes mellitus: a noncausal association?

Authors:  Mika Kivimäki; G David Batty; Markus Jokela; Klaus P Ebmeier; Jussi Vahtera; Marianna Virtanen; Eric J Brunner; Adam G Tabak; Daniel R Witte; Meena Kumari; Archana Singh-Manoux; Mark Hamer
Journal:  Biol Psychiatry       Date:  2011-08-27       Impact factor: 13.382

9.  Diurnal Cortisol Patterns, Future Diabetes, and Impaired Glucose Metabolism in the Whitehall II Cohort Study.

Authors:  Ruth A Hackett; Mika Kivimäki; Meena Kumari; Andrew Steptoe
Journal:  J Clin Endocrinol Metab       Date:  2015-12-08       Impact factor: 5.958

10.  Association of diurnal patterns in salivary cortisol with type 2 diabetes in the Whitehall II study.

Authors:  Ruth A Hackett; Andrew Steptoe; Meena Kumari
Journal:  J Clin Endocrinol Metab       Date:  2014-12       Impact factor: 5.958

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