title: Factors interfering with the accuracy of five blood glucose meters used in Chinese hospitals.
abstract: BACKGROUND
  The prevalence of diabetes is increasing in China. Glucose control is very important in diabetic patients. The aim of this study was to compare the accuracy of five glucose meters used in Chinese hospitals with a reference method, in the absence and presence of various factors that may interfere with the meters.
  
  
  METHODS
  Within-run precision of the meters was evaluated include Roche Accu-Chek Inform®, Abbott Precision PCx FreeStyle®, Bayer Contour®, J&J LifeScan SureStep Flexx®, and Nova Biomedical StatStrip®. The interference of hematocrit level, maltose, ascorbic acid, acetaminophen, galactose, dopamine, and uric acid were tested in three levels of blood glucose, namely low, medium, and high concentrations. Accuracy (bias) of the meters and analytical interference by various factors were evaluated by comparing results obtained in whole blood specimens with those in plasma samples of the whole blood specimens run on the reference method. Impact of oxygen tension on above five blood glucose meters was detected.
  
  
  RESULTS
  Precision was acceptable and slightly different between meters. There were no significant differences in the measurements between the meters and the reference method. The hematocrit level significantly interfered with all meters, except StatStrip. Measurements were affected to varying degrees by different substances at different glucose levels, e.g. acetaminophen and ascorbic acid (Freestyle), maltose and galactose (FreeStyle, Accu-Chek), uric acid (FreeStyle, Bayer Contour), and dopamine (Bayer Contour).
  
  
  CONCLUSIONS
  The measurements with the five meters showed a good correlation with the plasma hexokinase reference method, but most were affected by the hematocrit level. Some meters also showed marked interference by other substances.
authors.affiliation: Laboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Lv
authors.forename: Guo-jun
authors.initials: GJ
authors.lastname: Zhang
authors.forename: Xi-xiong
authors.initials: XX
authors.lastname: Kang
authors.forename: Hui
authors.initials: H
authors.lastname: Yuan
authors.forename: Yan-wei
authors.initials: YW
authors.lastname: Lv
authors.forename: Wen-wen
authors.initials: WW
authors.lastname: Wang
authors.forename: Rollins
authors.initials: R
authors.lastname: Randall
mesh_terms: D000082:Acetaminophen / Q000097:blood; D001205:Ascorbic Acid / Q000097:blood; D001774:Blood Chemical Analysis / Q000295:instrumentation* / Q000379:methods*; D001786:Blood Glucose / Q000032:analysis*; D002681:China; D003920:Diabetes Mellitus / Q000175:diagnosis*; D061827:Dimensional Measurement Accuracy; D004298:Dopamine / Q000097:blood; D005690:Galactose / Q000097:blood; D006400:Hematocrit; D006593:Hexokinase / Q000097:blood; D006761:Hospitals; D006801:Humans; D008320:Maltose / Q000097:blood; D010100:Oxygen / Q000097:blood; D012016:Reference Values; D014527:Uric Acid / Q000097:blood
chemical_list: D001786:Blood Glucose; D014527:Uric Acid; D000082:Acetaminophen; D008320:Maltose; D006593:Hexokinase; D001205:Ascorbic Acid; D010100:Oxygen; D004298:Dopamine; D005690:Galactose
keywords: blood glucose; correlation; hematocrit; hexokinase
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