Conclusions
We developed a metric for automated, objective evaluations of CGM profiles called the Q-Score. The Q-Score included the essential factors describing a glucose profile and therefore provides global information on glucose profiles, summarised in one value. The Q-Score can be categorised, and is suitable for screening profiles of individuals with insufficient metabolic control. In addition, it allows identification of factor(s) underlying the profiles that are mainly responsible for the quality of metabolic control in a given patient. Those parameters with improvement potential can be identified and addressed by therapeutic actions. Therefore, the Q-Score may efficiently contribute to designing strategies for patient-tailored diabetes care and management.
Abbreviations
AUCG: Area under the curve for glucose, BU: Bread units, CHO: Carbohydrate intake, CGM: Continuous glucose monitoring, Q-Score: Quality evaluation score, MBG: Mean blood glucose, MAGE: Mean amplitude of glycaemic excursions, CONGA: Continuous overall net glycaemic action, MODD: Mean of daily differences, LBGI: Low glucose index, HBGI: High glucose index, GRADE: Glycaemic risk assessment diabetes equation, OHA: Oral hypoglycaemic agent, tG time: Outside glucose target range, T1DM: Type 1 diabetes mellitus, T2DM: Type 2 diabetes mellitus
Acknowledgments
Research and development of model-based decision-support systems, including KADIS®-based health care services was performed at the Institute of Diabetes 'Gerhardt Katsch' Karlsburg, supported by grants from the German Federal Ministry of Education and Research (BMBF; FKZ: 03i2700) and the Regional Ministry of Education, Science, and Culture Mecklenburg-Vorpommern (IDK 97 007 80/SOM, IDK 97 007 80/HSP III).
BMC Endocr Disord. 2015;15(22) © 2015 BioMed Central, Ltd.