Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2008 Mar;389(1-2):31-9.
doi: 10.1016/j.cca.2007.11.019. Epub 2007 Dec 3.

Evaluation of point-of-care glucose testing accuracy using locally-smoothed median absolute difference curves

Affiliations

Evaluation of point-of-care glucose testing accuracy using locally-smoothed median absolute difference curves

Gerald J Kost et al. Clin Chim Acta. 2008 Mar.

Abstract

Background: We introduce locally-smoothed (LS) median absolute difference (MAD) curves for the evaluation of hospital point-of-care (POC) glucose testing accuracy.

Methods: Arterial blood samples (613) were obtained from a university hospital blood gas laboratory. Four hospital glucose meter systems (GMS) were tested against the YSI 2300 glucose analyzer for paired reference observations. We made statistical comparisons using conventional methods (e.g., linear regression, mean absolute differences).

Results: Difference plots with superimposed ISO 15197 tolerance bands showed bias, scatter, heteroscedasticity, and erroneous results well. LS MAD curves readily revealed GMS accuracy patterns. Performance in hypoglycemic and hyperglycemic ranges erratically exceeded the recommended LS MAD error tolerance limit (5 mg/dl). Some systems showed acceptable (within LS MAD tolerance) or nearly acceptable performance in and around a tight glycemic control (TGC) interval of 80-110 mg/dl. Performance patterns varied in this interval, creating potential for discrepant therapeutic decisions.

Conclusions: Erroneous results demonstrated by ISO 15197-difference plots must be carefully considered. LS MAD curves draw on the unique human ability to recognize patterns quickly and discriminate accuracy visually. Performance standards should incorporate LS MAD curves and the recommended error tolerance limit of 5 mg/dl for hospital bedside glucose testing. Each GMS must be considered individually when assessing overall performance for therapeutic decision making in TGC.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Modified Bland-Altman Plots with Superimposed ISO 15197 Tolerance Bands
Figure 2
Figure 2
Locally-Smoothed Median Absolute Difference Curve: GMS 1. The graphs show LS MAD curves for GMS 1A and 1B. The 95% confidence intervals appear above and below the curve. The dashed horizontal line at 5 mg/dl represents the recommended error tolerance. Values of reference glucose where the LS MAD curve crosses the error tolerance, so-called “breakout points,” are identified by the black arrows.
Figure 3
Figure 3
Locally-Smoothed Median Absolute Difference Curves: GMS 2. LS MAD curves for GMS 2A and 2B. Same format as Figure 2.
Figure 4
Figure 4
Locally-Smoothed Median Absolute Difference Curves: GMS 3 and 4. LS MAD curves for GMS 3 and 4. The LS MAD curves float above the error tolerance throughout the glucose range from 35 to 220 mg/dl, which reflects paired observations with reference glucose values from 20 to 235 mg/dl. Each system produced one dangerous Class I discrepant value (see Table 2) in the TGC range from 80 to 110 mg/dl.
Figure 5
Figure 5
Tight Glucose Control (TGC) Intervals—Evidence-Based Clinical Investigations. To maintain TGC, nurses adjust therapy quickly after obtaining bedside glucose results each hour or more frequently. This short therapeutic turnaround time generally requires bedside testing. Hence, POC results must be accurate, because the clinical team uses them for immediate decision making. The TGC ranges at the top were obtained from published papers (8-18). The mark in the top interval represents mean glucose (138 mg/dl) in the study by Lazar et al. [8]. Hospital TGC ranges shown below were obtained by calling.

Comment in

  • Median differences or actual differences?
    Mahoney JJ, Ellison JM. Mahoney JJ, et al. Clin Chim Acta. 2008 May;391(1-2):126; author reply 127-8. doi: 10.1016/j.cca.2008.02.007. Epub 2008 Feb 15. Clin Chim Acta. 2008. PMID: 18328263 No abstract available.

Similar articles

Cited by

References

    1. Tran NK, Promptmas C, Kost GJ. Biosensors, miniaturization, and noninvasive techniques. In: Ward Cook KM, Lehman CA, Schoeff LE, et al., editors. Clinical Diagnostic Technology: The Total Testing Process Volume 3: The Postanalytical Phase. Chapter 7. Washington D.C.: American Association for Clinical Chemistry Press; 2006. pp. 145–184.
    1. Clarke WL, Cox D, Gonder-Frederick LA, et al. Evaluating clinical accuracy of systems for self monitoring of blood glucose. Diabetes Care. 1987;10:622–628. - PubMed
    1. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–310. - PubMed
    1. International Organization for Standardization. In Vitro Diagnostic Test Systems— Requirements for Blood-Glucose Monitoring Systems for Self-Testing in Managing Diabetes Mellitus International Standard Report Number ISO 15197:2003(E) Geneva: International Organization for Standardization; 2003.
    1. Kost GJ, Louie R, Veerasamy N, et al. Meeting the challenge of the International Standard ISO 15197 for capillary glucose accuracy. Clin Chem. 2005;51:A255. abstract.

Publication types