BACKGROUND: The evaluation of continuous glucose monitor (CGM) alert performance should reflect patient use in real time. By evaluating alerts as real-time events, their ability to both detect and predict low and high blood glucose (BG) events can be examined. METHOD: True alerts (TA) were defined as a CGM alert occurring within +/- 30 minutes from the beginning of a low or a high BG event. The TA time to detection was calculated as [time of CGM alert] - [beginning of event]. False alerts (FA) were defined as a BG event outside of the alert zone within +/- 30 minutes from a CGM alert. Analysis was performed comparing DexCom SEVEN PLUS CGM data to BG measured with a laboratory analyzer. RESULTS: Of 49 low glucose events (BG < or =70 mg/dl), with the CGM alert set to 90 mg/dl, the TA rate was 91.8%. For 50% of TAs, the CGM alert preceded the event by at least 21 minutes. The FA rate was 25.0%. Similar results were found for high alerts. CONCLUSION: Continuous glucose monitor alerts are capable of both detecting and predicting low and high BG events. The setting of alerts entails a trade-off between predictive ability and FA rate. Realistic analysis of this trade-off will guide patients in the effective utilization of CGM. 2010 Diabetes Technology Society.
BACKGROUND: The evaluation of continuous glucose monitor (CGM) alert performance should reflect patient use in real time. By evaluating alerts as real-time events, their ability to both detect and predict low and high blood glucose (BG) events can be examined. METHOD: True alerts (TA) were defined as a CGM alert occurring within +/- 30 minutes from the beginning of a low or a high BG event. The TA time to detection was calculated as [time of CGM alert] - [beginning of event]. False alerts (FA) were defined as a BG event outside of the alert zone within +/- 30 minutes from a CGM alert. Analysis was performed comparing DexCom SEVEN PLUS CGM data to BG measured with a laboratory analyzer. RESULTS: Of 49 low glucose events (BG < or =70 mg/dl), with the CGM alert set to 90 mg/dl, the TA rate was 91.8%. For 50% of TAs, the CGM alert preceded the event by at least 21 minutes. The FA rate was 25.0%. Similar results were found for high alerts. CONCLUSION: Continuous glucose monitor alerts are capable of both detecting and predicting low and high BG events. The setting of alerts entails a trade-off between predictive ability and FA rate. Realistic analysis of this trade-off will guide patients in the effective utilization of CGM. 2010 Diabetes Technology Society.
Authors: Satish K Garg; William C Kelly; Mary K Voelmle; Peter J Ritchie; Peter A Gottlieb; Kim K McFann; Samuel L Ellis Journal: Diabetes Care Date: 2007-09-11 Impact factor: 19.112
Authors: K R Pitzer; S Desai; T Dunn; S Edelman; Y Jayalakshmi; J Kennedy; J A Tamada; R O Potts Journal: Diabetes Care Date: 2001-05 Impact factor: 19.112