Quality Specifications for
Glucose Meters:
Assessment by Simulation Modeling of Errors in
Insulin Dose
James C. Boyd and David E. Bruns
Clinical Chemistry. 2001;47:209-214).
In this study, we asked the question: What is
the effect of analytical performance
on the ability to correctly direct the
administration of the dose of insulin
intended for the patient’s ("true")
glucose concentration? We reasoned that a method
with high imprecision or bias would
frequently yield results sufficiently
different from the patient’s true glucose that
the insulin dose would differ from
the intended dose. To assess this effect,
we used simulation modeling to simulate
glucose meters with specified bias
and imprecision. The modeling provided confident
estimates of the dosage error rates for
meters of known imprecision and/or
bias.
Data from this study was used in the May 11,
2005 webcast
"Glucose Testing in Critical Care: Looking to
the Lab for Precision & Accuracy" |