Comparison of glucose concentrations in serum, plasma, and blood measured by a point-of-care glucometer with serum glucose concentration measured by an automated biochemical analyzer for canine and feline blood samples

Matthew J. Lechner 1Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104.

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Rebecka S. Hess 1Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104.

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 DVM, MSCE

Abstract

OBJECTIVE

To determine the correlation between glucose concentrations in serum, plasma, and blood measured by a point-of-care glucometer (POCG) and serum glucose concentration measured by an automated biochemical analyzer (ABA; gold standard).

SAMPLE

152 canine and 111 feline blood samples.

PROCEDURES

For each sample, the glucose concentration in serum, plasma, and blood was measured by a POCG and compared with the ABA-measured glucose concentration by means of the Lin concordance correlation coefficient. Results were summarized by species for all samples and subsets of samples with hyperglycemia (ABA-measured glucose concentration > 112 mg/dL for dogs and > 168 mg/dL for cats) and pronounced hyperglycemia (ABA-measured glucose concentration > 250 mg/dL for both species). The effect of PCV on correlations between POCG and ABA measurements was also assessed.

RESULTS

Hyperglycemia and pronounced hyperglycemia were identified in 69 and 36 canine samples and 44 and 29 feline samples, respectively. The POCG-measured glucose concentrations in serum, plasma, and blood were strongly and positively correlated with the gold standard concentration. The PCV was positively associated with the correlation between the POCG-measured blood glucose concentration and the gold standard concentration but was not associated with the correlations between the POCG-measured glucose concentrations in serum and plasma and the gold standard concentration.

CONCLUSIONS AND CLINICAL RELEVANCE

Results indicated that POCG-measured glucose concentrations in serum, plasma, and blood were strongly correlated with the ABA-measured serum glucose concentration, even in hyperglycemic samples. Given the time and labor required to harvest serum or plasma from blood samples, we concluded that blood was the preferred sample type for use with this POCG.

Abstract

OBJECTIVE

To determine the correlation between glucose concentrations in serum, plasma, and blood measured by a point-of-care glucometer (POCG) and serum glucose concentration measured by an automated biochemical analyzer (ABA; gold standard).

SAMPLE

152 canine and 111 feline blood samples.

PROCEDURES

For each sample, the glucose concentration in serum, plasma, and blood was measured by a POCG and compared with the ABA-measured glucose concentration by means of the Lin concordance correlation coefficient. Results were summarized by species for all samples and subsets of samples with hyperglycemia (ABA-measured glucose concentration > 112 mg/dL for dogs and > 168 mg/dL for cats) and pronounced hyperglycemia (ABA-measured glucose concentration > 250 mg/dL for both species). The effect of PCV on correlations between POCG and ABA measurements was also assessed.

RESULTS

Hyperglycemia and pronounced hyperglycemia were identified in 69 and 36 canine samples and 44 and 29 feline samples, respectively. The POCG-measured glucose concentrations in serum, plasma, and blood were strongly and positively correlated with the gold standard concentration. The PCV was positively associated with the correlation between the POCG-measured blood glucose concentration and the gold standard concentration but was not associated with the correlations between the POCG-measured glucose concentrations in serum and plasma and the gold standard concentration.

CONCLUSIONS AND CLINICAL RELEVANCE

Results indicated that POCG-measured glucose concentrations in serum, plasma, and blood were strongly correlated with the ABA-measured serum glucose concentration, even in hyperglycemic samples. Given the time and labor required to harvest serum or plasma from blood samples, we concluded that blood was the preferred sample type for use with this POCG.

Contributor Notes

Dr. Lechner's present address is Veterinary Referral Associates, 500 Perry Pkwy, Gaithersburg, MD 20877.

Address correspondence to Dr. Hess (rhess@vet.upenn.edu).
  • 1. Tauk BS, Drobatz KJ, Wallace KA, et al. Correlation between glucose concentrations in serum, plasma, and whole blood measured by a point-of-care glucometer and serum glucose concentration measured by an automated biochemical analyzer for canine and feline blood samples. J Am Vet Med Assoc 2015;246:1327–1333.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 2. Cohen TA, Nelson RW, Kass PH, et al. Evaluation of six portable blood glucose meters for measuring blood glucose concentration in dogs. J Am Vet Med Assoc 2009;235:276–280.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 3. Johnson BM, Fry MM, Flatland B, et al. Comparison of a human portable blood glucose meter, veterinary portable blood glucose meter, and automated chemistry analyzer for measurement of blood glucose concentrations in dogs. J Am Vet Med Assoc 2009;235:1309–1313.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4. Wess G, Reusch C. Assessment of five portable blood glucose meters for use in cats. Am J Vet Res 2000;61:1587–1592.

  • 5. Wess G, Reusch C. Evaluation of five portable blood glucose meters for use in dogs. J Am Vet Med Assoc 2000;216:203–209.

  • 6. Kang MH, Kim DH, Jeong IS, et al. Evaluation of four portable blood glucose meters in diabetic and non-diabetic dogs and cats. Vet Q 2016;36:2–9.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 7. Cohn LA, McCaw DL, Tate DJ, et al. Assessment of five portable blood glucose meters, a point-of-care analyzer, and color test strips for measuring blood glucose concentration in dogs. J Am Vet Med Assoc 2000;216:198–202.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8. Ramljak S, Lock JP, Schipper C, et al. Hematocrit interference of blood glucose meters for patient self-measurement. J Diabetes Sci Technol 2013;7:179–189.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9. Dimeski G, Jones BW, Tilley V, et al. Glucose meters: evaluation of the new formulation measuring strips from Roche (Accu-chek) and Abbott (MediSense). Ann Clin Biochem 2010;47:358–365.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10. Ferri S, Kojima K, Sode K. Review of glucose oxidases and glucose dehydrogenases: a bird's eye view of glucose sensing enzymes. J Diabetes Sci Technol 2011;5:1068–1076.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11. Daves M, Cemin R, Fattor B, et al. Evaluation of hematocrit bias on blood glucose measurements with six different portable glucose meters. Biochem Med (Zagreb) 2011;21:306–311.

    • Search Google Scholar
    • Export Citation
  • 12. Paul AE, Shiel RE, Juvet F, et al. Effect of hematocrit on accuracy of two point-of-care glucometers for use in dogs. Am J Vet Res 2011;72:1204–1208.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13. Lane SL, Koenig A, Brainard BM. Formulation and validation of a predictive model to correct blood glucose concentrations obtained with a veterinary point-of-care glucometer in hemodiluted and hemoconcentrated canine blood samples. J Am Vet Med Assoc 2015;246:307–312.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14. Viskupicova J, Blaskovic D, Galiniak S, et al. Effect of high glucose concentrations on human erythrocytes in vitro. Redox Biol 2015;5:381–387.

    • Crossref
    • Search Google Scholar
    • Export Citation

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