INTRODUCTION: Near-continuous glucose monitoring is expected to increase time in range (TIR) of 80-120mg/dL and to avoid hypoglycemia without increasing workload. We investigated a near-continuous glucose monitor in surgical critically ill and trauma patients. METHODS: Patients were enrolled at a surgical intensive care unit associated with a level 1 trauma center. Glucose measurements were compared to the gold standard Yellow Springs Instrument (YSI). The technology withdraws 0.13mL of blood every 15min from a central venous line, centrifuges the sample, and uses mid-infrared spectroscopy to measure glucose. We plotted a Clarke Error Grid, calculated Mean Absolute Relative Deviation (MARD) to analyze trend accuracy, and we present a Bland Altman plot of device versus standard glucose measurements. RESULTS: 24 patients were enrolled. One patient was withdrawn due to poor blood return from central venous line. A total of 347 glucose measurements from 23 patients were compared to the gold standard. 94.8% of the data points were in zone A of the Clarke Error Grid and 5.2% in zone B. The MARD was 8.02%. The majority of data points achieved the benchmark for accuracy. The remaining 5.2% are clinically benign. The MARD was below 10%. The Bland Altman plot shows good agreement between the device and reference glucose measurements. There were no device related adverse events. CONCLUSION: Our data suggests that near continuous monitoring via infrared spectroscopy is safe and accurate for use in critically ill surgical and trauma patients. A large scale multi-center study is underway to confirm these findings.
INTRODUCTION: Near-continuous glucose monitoring is expected to increase time in range (TIR) of 80-120mg/dL and to avoid hypoglycemia without increasing workload. We investigated a near-continuous glucose monitor in surgical critically ill and traumapatients. METHODS:Patients were enrolled at a surgical intensive care unit associated with a level 1 trauma center. Glucose measurements were compared to the gold standard Yellow Springs Instrument (YSI). The technology withdraws 0.13mL of blood every 15min from a central venous line, centrifuges the sample, and uses mid-infrared spectroscopy to measure glucose. We plotted a Clarke Error Grid, calculated Mean Absolute Relative Deviation (MARD) to analyze trend accuracy, and we present a Bland Altman plot of device versus standard glucose measurements. RESULTS: 24 patients were enrolled. One patient was withdrawn due to poor blood return from central venous line. A total of 347 glucose measurements from 23 patients were compared to the gold standard. 94.8% of the data points were in zone A of the Clarke Error Grid and 5.2% in zone B. The MARD was 8.02%. The majority of data points achieved the benchmark for accuracy. The remaining 5.2% are clinically benign. The MARD was below 10%. The Bland Altman plot shows good agreement between the device and reference glucose measurements. There were no device related adverse events. CONCLUSION: Our data suggests that near continuous monitoring via infrared spectroscopy is safe and accurate for use in critically ill surgical and traumapatients. A large scale multi-center study is underway to confirm these findings.
Authors: Amisha Wallia; Guillermo E Umpierrez; Robert J Rushakoff; David C Klonoff; Daniel J Rubin; Sherita Hill Golden; Curtiss B Cook; Bithika Thompson Journal: J Diabetes Sci Technol Date: 2017-04-21
Authors: Rodolfo J Galindo; Guillermo E Umpierrez; Robert J Rushakoff; Ananda Basu; Suzanne Lohnes; James H Nichols; Elias K Spanakis; Juan Espinoza; Nadine E Palermo; Dessa Garnett Awadjie; Leigh Bak; Bruce Buckingham; Curtiss B Cook; Guido Freckmann; Lutz Heinemann; Roman Hovorka; Nestoras Mathioudakis; Tonya Newman; David N O'Neal; Michaela Rickert; David B Sacks; Jane Jeffrie Seley; Amisha Wallia; Trisha Shang; Jennifer Y Zhang; Julia Han; David C Klonoff Journal: J Diabetes Sci Technol Date: 2020-09-28
Authors: Sigrid C J van Steen; Saskia Rijkenberg; Jacqueline Limpens; Peter H J van der Voort; Jeroen Hermanides; J Hans DeVries Journal: Sensors (Basel) Date: 2017-01-14 Impact factor: 3.576