Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Performance Evaluations of Continuous Glucose Monitoring Systems: Precision Absolute Relative Deviation Is Part of the Assessment

  • Karin Obermaier
  • , Günther Schmelzeisen-Redeker
  • , Michael Schoemaker
  • , Hans-Martin Klötzer
  • , Harald Kirchsteiger
  • , Heino Eikmeier
  • , Luigi Del Re

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

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.
OriginalspracheEnglisch
Seiten (von - bis)824-832
Seitenumfang9
FachzeitschriftJournal of Diabetes Science and Technology
Volume7
Ausgabenummer4
DOIs
PublikationsstatusVeröffentlicht - Juli 2013

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gute Gesundheit und Wohlergehen
    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

Dieses zitieren