Abstract
Background: A cause of suboptimal accuracy in amperometric glucose sensors is the presence of a background current (current produced in the absence of glucose) that is not accounted for. We hypothesized that a mathematical correction for the estimated background current of a commercially available sensor would lead to greater accuracy compared to a situation in which we assumed the background current to be zero. We also tested whether increasing the frequency of sensor calibration would improve sensor accuracy. Methods: This report includes analysis of 20 sensor datasets from seven human subjects with type 1 diabetes. Data were divided into a training set for algorithm development and a validation set on which the algorithm was tested. A range of potential background currents was tested. Results: Use of the background current correction of 4nA led to a substantial improvement in accuracy (improvement of absolute relative difference or absolute difference of 3.5-5.5 units). An increase in calibration frequency led to a modest accuracy improvement, with an optimum at every 4h. Conclusions: Compared to no correction, a correction for the estimated background current of a commercially available glucose sensor led to greater accuracy and better detection of hypoglycemia and hyperglycemia. The accuracy-optimizing scheme presented here can be implemented in real time.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 921-928 |
| Number of pages | 8 |
| Journal | Diabetes Technology and Therapeutics |
| Volume | 12 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 1 2010 |
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ASJC Scopus subject areas
- Endocrinology
- Endocrinology, Diabetes and Metabolism
- Medical Laboratory Technology
Cite this
Continuous glucose monitoring in subjects with type 1 diabetes : Improvement in accuracy by correcting for background current. / El Youssef, Joseph; Castle, Jessica; Engle, Julia M.; Massoud, Ryan G.; Ward, W. Kenneth.
In: Diabetes Technology and Therapeutics, Vol. 12, No. 11, 01.11.2010, p. 921-928.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Continuous glucose monitoring in subjects with type 1 diabetes
T2 - Improvement in accuracy by correcting for background current
AU - El Youssef, Joseph
AU - Castle, Jessica
AU - Engle, Julia M.
AU - Massoud, Ryan G.
AU - Ward, W. Kenneth
PY - 2010/11/1
Y1 - 2010/11/1
N2 - Background: A cause of suboptimal accuracy in amperometric glucose sensors is the presence of a background current (current produced in the absence of glucose) that is not accounted for. We hypothesized that a mathematical correction for the estimated background current of a commercially available sensor would lead to greater accuracy compared to a situation in which we assumed the background current to be zero. We also tested whether increasing the frequency of sensor calibration would improve sensor accuracy. Methods: This report includes analysis of 20 sensor datasets from seven human subjects with type 1 diabetes. Data were divided into a training set for algorithm development and a validation set on which the algorithm was tested. A range of potential background currents was tested. Results: Use of the background current correction of 4nA led to a substantial improvement in accuracy (improvement of absolute relative difference or absolute difference of 3.5-5.5 units). An increase in calibration frequency led to a modest accuracy improvement, with an optimum at every 4h. Conclusions: Compared to no correction, a correction for the estimated background current of a commercially available glucose sensor led to greater accuracy and better detection of hypoglycemia and hyperglycemia. The accuracy-optimizing scheme presented here can be implemented in real time.
AB - Background: A cause of suboptimal accuracy in amperometric glucose sensors is the presence of a background current (current produced in the absence of glucose) that is not accounted for. We hypothesized that a mathematical correction for the estimated background current of a commercially available sensor would lead to greater accuracy compared to a situation in which we assumed the background current to be zero. We also tested whether increasing the frequency of sensor calibration would improve sensor accuracy. Methods: This report includes analysis of 20 sensor datasets from seven human subjects with type 1 diabetes. Data were divided into a training set for algorithm development and a validation set on which the algorithm was tested. A range of potential background currents was tested. Results: Use of the background current correction of 4nA led to a substantial improvement in accuracy (improvement of absolute relative difference or absolute difference of 3.5-5.5 units). An increase in calibration frequency led to a modest accuracy improvement, with an optimum at every 4h. Conclusions: Compared to no correction, a correction for the estimated background current of a commercially available glucose sensor led to greater accuracy and better detection of hypoglycemia and hyperglycemia. The accuracy-optimizing scheme presented here can be implemented in real time.
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U2 - 10.1089/dia.2010.0020
DO - 10.1089/dia.2010.0020
M3 - Article
VL - 12
SP - 921
EP - 928
JO - Diabetes Technology and Therapeutics
JF - Diabetes Technology and Therapeutics
SN - 1520-9156
IS - 11
ER -