The Accuracy of Continuous Glucose Monitoring in the Medical Intensive Care Unit

2021 ◽  
pp. 193229682110275
Author(s):  
Wannita Tingsarat ◽  
Patinut Buranasupkajorn ◽  
Weerapan Khovidhunkit ◽  
Patchaya Boonchaya-anant ◽  
Nitchakarn Laichuthai
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Continuous Glucose Monitoring ◽  
Medical Intensive Care Unit ◽  
Glucose Monitoring ◽  
Relative Difference ◽  
Risk Zone ◽  
Medical Intensive Care ◽  
Vasopressor Use ◽  
Error Grid

Objective: To assess the accuracy of continuous glucose monitoring (CGM) in medical intensive care unit (MICU) patients. Methods: A Medtronic Enlite® sensor accuracy was assessed versus capillary blood glucose (CBG) and plasma glucose (PG) using the mean absolute relative difference (MARD), surveillance error grid (SEG) analysis and modified Bland-Altman plots. Results: Using CBG as a reference, MARD was 6.6%. Overall, 99.7% of the CGM readings were within the “no risk” zone. No significant differences in accuracy were seen within vasopressor subgroups. Using PG as the reference, MARD was 8.8%. The surveillance error grid analysis showed 95.2% of glucose readings were within the “no risk” zone. There were no device-related adverse events. Conclusion: The CGM sensor showed acceptable accuracy in MICU patients, regardless of vasopressor use.

876-P: Accuracy of Continuous Glucose Monitoring Compared with Capillary Blood and Venous Plasma Glucose Measurements in Medical Intensive Care Unit Patients

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 876-P
Author(s):  
WANNITA TINGSARAT ◽  
NITCHAKARN LAICHUTHAI ◽  
PATCHAYA BOONCHAYA-ANANT ◽  
PATINUT BURANASUPKAJORN ◽  
WEERAPAN KHOVIDHUNKIT
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Continuous Glucose Monitoring ◽  
Plasma Glucose ◽  
Medical Intensive Care Unit ◽  
Glucose Monitoring ◽  
Capillary Blood ◽  
Medical Intensive Care ◽  
Venous Plasma

Experience with the Continuous Glucose Monitoring System® in a Medical Intensive Care Unit

2004 ◽  
Vol 6 (3) ◽  
pp. 339-347 ◽  
Author(s):  
Philip A. Goldberg ◽  
Mark D. Siegel ◽  
Raymond R. Russell ◽  
Robert S. Sherwin ◽  
Joshua I. Halickman ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Monitoring System ◽  
Continuous Glucose Monitoring ◽  
Medical Intensive Care Unit ◽  
Glucose Monitoring ◽  
Continuous Glucose Monitoring System ◽  
Medical Intensive Care

scholarly journals Continuous Glucose Monitoring in the Intensive Care Unit Following Total Pancreatectomy with Islet Autotransplantation in Children: Establishing Accuracy of the Dexcom G6 Model

2021 ◽  
Vol 10 (9) ◽  
pp. 1893
Author(s):  
Natalie Segev ◽  
Lindsey N. Hornung ◽  
Siobhan E. Tellez ◽  
Joshua D. Courter ◽  
Sarah A. Lawson ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Continuous Glucose Monitoring ◽  
Total Pancreatectomy ◽  
Glucose Monitoring ◽  
Absolute Difference ◽  
Grid Analysis ◽  
Clarke Error Grid ◽  
Islet Autotransplantation ◽  
Error Grid

Hyperglycemia is detrimental to postoperative islet cell survival in patients undergoing total pancreatectomy with islet autotransplantation (TPIAT). This makes continuous glucose monitoring (CGM) a useful management tool. We evaluated the accuracy of the Dexcom G6 CGM in pediatric intensive care unit patients following TPIAT. Twenty-five patients who underwent TPIAT had Dexcom G6 glucose values compared to paired serum glucose values. All paired glucose samples were obtained within 5 minutes of each other during the first seven days post TPIAT. Data were evaluated using mean absolute difference (MAD), mean absolute relative difference (MARD), %20/20, %15/15 accuracy, and Clarke Error Grid analysis. Exclusions included analysis during the CGM “warm-up” period and hydroxyurea administration (known drug interference). A total of 183 time-matched samples were reviewed during postoperative days 2–7. MAD was 14.7 mg/dL and MARD was 13.4%, with values of 15.2%, 14.0%, 12.1%, 11.4%, 13.2% and 14.1% at days 2, 3, 4, 5, 6 and 7, respectively. Dexcom G6 had a %20/20 accuracy of 78%, and a %15/15 accuracy of 64%. Clarke Error Grid analysis showed that 77% of time-matched values were clinically accurate, and 100% were clinically acceptable. The Dexcom G6 CGM may be an accurate tool producing clinically acceptable values to make reliable clinical decisions in the immediate post-TPIAT period.

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