Abstract
Background:
Even though a Clinical and Laboratory Standards Institute proposal exists on the design of studies and
performance criteria for continuous glucose monitoring (CGM) systems, it has not yet led to a consistent
evaluation of different systems, as no consensus has been reached on the reference method to evaluate them
or on acceptance levels. As a consequence, performance assessment of CGM systems tends to be inconclusive,
and a comparison of the outcome of different studies is difficult.
Materials and Methods:
Published information and available data (as presented in this issue of Journal of Diabetes Science and Technology
by Freckmann and coauthors) are used to assess the suitability of several frequently used methods
[International Organization for Standardization, continuous glucose error grid analysis, mean absolute relative
deviation (MARD), precision absolute relative deviation (PARD)] when assessing performance of CGM systems
in terms of accuracy and precision.
Results:
The combined use of MARD and PARD seems to allow for better characterization of sensor performance.
The use of different quantities for calibration and evaluation, e.g., capillary blood using a blood glucose (BG)
meter versus venous blood using a laboratory measurement, introduces an additional error source. Using BG
values measured in more or less large intervals as the only reference leads to a significant loss of information in
comparison with the continuous sensor signal and possibly to an erroneous estimation of sensor performance
during swings. Both can be improved using data from two identical CGM sensors worn by the same patient
in parallel.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 824-832 |
| Seitenumfang | 9 |
| Fachzeitschrift | Journal of Diabetes Science and Technology |
| Volume | 7 |
| Ausgabenummer | 4 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Juli 2013 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 3 – Gute Gesundheit und Wohlergehen
Wissenschaftszweige
- 203 Maschinenbau
- 202034 Regelungstechnik
- 202012 Elektrische Messtechnik
- 206 Medizintechnik
- 202027 Mechatronik
- 202003 Automatisierungstechnik
- 203027 Verbrennungskraftmaschinen
- 207109 Schadstoffemission
JKU-Schwerpunkte
- Mechatronics and Information Processing
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