Error Rates Resulting From Anemia Can Be Corrected in Multiple Commonly Used Point of Care Glucometers

Abstract

Background: A point-of-care (POC) glucometer (G1) used for critical care at our institution is inaccurate in the presence of low hematocrit (HCT) values. The purpose of this study was to analyze error rates of three additional POC glucometer brands and determine mathematical correction formulas for each. Methods: Blood samples (n 196) from a cohort of surgical, trauma, medical, cardiothoracic, and burn intensive care unit patients were tested on three commonly used POC glucometer brands (G2-G4). Results were compared with reference laboratory values, and correction compared with the validated formula for G1. A mathematical formula specific to each glucometer type was derived from glucose measurements, associated HCT values, and the degree of difference relative to laboratory results. Results: POC glucometer results were consistently elevated compared with reference laboratory values. Glucometer error rates for HCT less than 25% ranged from 15.4% to 22.3% for the three types. Error rates for 25% less than HCT less than or equal to 34% ranged from 16.4% to 18.4%. A correction formula for each glucometer based on the natural log trans-formation of the HCT predicted reference values with a mean error rate of 0.54% + or - 5.6% for G2, -0.6% + or - 5.5% for G3, and 0.2% + or - 8.0% for G4. Correction was similar to that previously established for G1 ( 0.01% + or - 4.8). Conclusions: Significant error rates because of HCT effect were found in all glucometer models tested with accurate prediction of reference values with a simple mathematical formula.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA627616

Entities

People

  • Charles E Wade
  • Elizabeth A. Mann
  • Heather Pidcoke
  • John B Holcomb
  • Josè Salinas
  • Steven Wolf

Organizations

  • United States Army Institute of Surgical Research

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Analyzers
  • Blood
  • Blood Transfusions
  • Data Sets
  • Glucose Monitors
  • Health Services
  • Intensive Care Units
  • Medical Personnel
  • Patient Care
  • Point-Of-Care Diagnostic Testing
  • Quality Control
  • Standards
  • Statistical Analysis
  • Test Methods
  • Therapy
  • United States

Fields of Study

  • Biology
  • Medicine

Readers

  • Approximation Theory.
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Mathematics or Statistics