Literature DB >> 21175272

Can one point-of-care glucose meter be used for all pediatric and adult hospital patients? Evaluation of three meters, including recently modified test strips.

Janet V Warner1, Joyce Y Wu, Nita Buckingham, Donald S A McLeod, Barbara Mottram, Andrew C Carter.   

Abstract

BACKGROUND: within hospitals, bedside blood glucose measurements are widely used for investigating suspected hyper- or hypoglycemia, monitoring diabetes, and adjusting glucose-lowering medication. Numerous point-of-care glucose meters are available, but for large hospitals using the same meter in all settings has practical and economic advantages. This investigation sought to identify a meter that was accurate, precise, and free from interferences, making it suitable for use across all ages and diseases.
METHODS: lithium-heparinized whole blood was analyzed, under various conditions, on the HemoCue Glucose 201 (Hemocue AB, Ängelhom, Sweden), Accu-Chek Performa (Roche Diagnostics, Basel Switzerland) (using the newly reformulated maltose-insensitive strips), and Optium (Abbott Diabetes, Alameda, CA, USA) glucose meters and compared with plasma glucose measurements on the Vitros 5,1 FS analyzer (Ortho Clinical Diagnostics, Neckargemund, Germany).
RESULTS: biases of 3.2%, -5.8%, and -8% were found with Accu-Chek, Optium, and HemoCue, respectively. Within-run imprecision was 2.5-5.8%. Between-run imprecision was 3.1-6.8%, with the Accu-Chek performing best. All meters measured to 1.3 mmol/L with acceptable precision (coefficient of variation, <14%). Varying hematocrits between 0.2 and 0.7 L/L affected results of all meters. Interference at clinically relevant concentrations of galactose and possibly maltose was demonstrated with the Accu-Chek.
CONCLUSIONS: all three meters are sufficiently accurate and precise for in-hospital use. Because of possible interference by galactosemia or high hematocrit, the Accu-Chek is not the safest option for neonatal use. Patients receiving high doses of maltose in therapeutic infusions may still be at risk of being falsely classified as euglycemic or hyperglycemic with the reformulated Accu-Chek strips, and clinical evaluation of these strips in patients receiving maltose-containing infusions is urgently needed.

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Year:  2011        PMID: 21175272     DOI: 10.1089/dia.2010.0129

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  6 in total

1.  System accuracy evaluation for blood glucose measurements should be performed in accordance with ISO 15197:2003 and CLSI-approved guideline EP7-A2.

Authors:  Rolf Hinzmann; Cam-Tuan Tran
Journal:  Diabetes Technol Ther       Date:  2012-02-15       Impact factor: 6.118

Review 2.  Challenges of inpatient blood glucose monitoring: standards, methods, and devices to measure blood glucose.

Authors:  Kathie L Hermayer; Aundrea S Loftley; Sumana Reddy; Satya Nandana Narla; Nina A Epps; Yusheng Zhu
Journal:  Curr Diab Rep       Date:  2015-03       Impact factor: 4.810

Review 3.  Assessing the quality of publications evaluating the accuracy of blood glucose monitoring systems.

Authors:  Gary H Thorpe
Journal:  Diabetes Technol Ther       Date:  2013-02-15       Impact factor: 6.118

Review 4.  Approach to the interpretation of unexpected laboratory results arising in the care of patients with inborn errors of metabolism (IEM).

Authors:  Andre Mattman; Murray Potter
Journal:  Rev Endocr Metab Disord       Date:  2018-03       Impact factor: 6.514

5.  Comparison of Point of Care (POC) Testing of Glucose by B Braun Glucometer and Hemocue Glucose 201+ Analyser Versus Centralised Testing in Neonatal Intensive Care Unit (NICU).

Authors:  Sudha Reddy V R; Sumathi M E; Beere Gowda Y C; Mohamed Suhail S
Journal:  J Clin Diagn Res       Date:  2014-07-20

6.  Total adiponectin, but not inflammatory markers C-reactive protein, tumor necrosis factor-α, interluekin-6 and monocyte chemoattractant protein-1, correlates with increasing glucose intolerance in pregnant Chinese-Americans.

Authors:  So-Young Kim; Vanessa Sy; Takako Araki; Nicole Babushkin; Diana Huang; Doris Tan; Emilia Liao; George Liu; Stephen Wan; Leonid Poretsky; Donna Seto-Young
Journal:  J Diabetes       Date:  2014-02-26       Impact factor: 4.006

  6 in total

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