Point and trend accuracy of a continuous intravenous microdialysis-based glucose-monitoring device in critically ill patients: a prospective study

BackgroundMicrodialysis is a well-established technology that can be used for continuous blood glucose monitoring. We determined point and trend accuracy, and reliability of a microdialysis-based continuous blood glucose-monitoring device (EIRUS®) in critically ill patients.MethodsProspective study involving patients with an expected intensive care unit stay of ≥48 h. Every 15 min, device readings were compared with blood glucose values measured in arterial blood during blocks of 8 h per day for a maximum of 3 days. The Clarke error grid, Bland–Altman plot, mean absolute relative difference and glucose prediction error analysis were used to express point accuracy and the rate error grid to express trend accuracy. Reliability testing included aspects of the device and the external sensor, and the special central venous catheter (CVC) with a semipermeable membrane for use with this device.ResultsWe collected 594 paired values in 12 patients (65 [26–80; 8–97] (median [IQR; total range]) paired values per patient). Point accuracy: 93.6 % of paired values were in zone A of the Clarke error grid, 6.4 % were in zone B; bias was 4.1 mg/dL with an upper limit of agreement of 28.6 mg/dL and a lower level of agreement of −20.5 mg/dL in the Bland–Altman analysis; 93.6 % of the values ≥75 mg/dL were within 20 % of the reference values in the glucose prediction error analysis; the mean absolute relative difference was 7.5 %. Trend accuracy: 96.4 % of the paired values were in zone A, and 3.3 and 0.3 % were in zone B and zone C of the rate error grid. Reliability: out of 16 sensors, 4 had to be replaced prematurely; out of 12 CVCs, two malfunctioned (one after unintentional flushing by unsupervised nurses of the ports connected to the internal microdialysis chamber, causing rupture of the semipermeable membrane; one for an unknown reason). Device start-up time was 58 [56–67] min; availability of real-time data was 100 % of the connection time.ConclusionsIn this study in critically ill patients who had no hypoglycemic episodes and a limited number of hyperglycemic excursions, point accuracy of the device was moderate to good. Trend accuracy was very good. The device had no downtimes, but 4 out of 16 external sensors and 2 out of 12 CVCs had practical problems.

[1]  J. Binnekade,et al.  Point accuracy and reliability of an interstitial continuous glucose-monitoring device in critically ill patients: a prospective study , 2015, Critical Care.

[2]  Daleen Aragon,et al.  Evaluation of nursing work effort and perceptions about blood glucose testing in tight glycemic control. , 2006, American journal of critical care : an official publication, American Association of Critical-Care Nurses.

[3]  P. Spronk,et al.  Glucontrol, no control, or out of control? , 2009, Intensive Care Medicine.

[4]  A. Franco‐Cereceda,et al.  Evaluation of Intravascular Microdialysis for Continuous Blood Glucose Monitoring in Hypoglycemia , 2014, Journal of diabetes science and technology.

[5]  Nigam H Shah,et al.  Postmarket Surveillance of Point-of-Care Glucose Meters through Analysis of Electronic Medical Records. , 2016, Clinical chemistry.

[6]  Jan S Krouwer,et al.  A Review of Standards and Statistics Used to Describe Blood Glucose Monitor Performance , 2010, Journal of diabetes science and technology.

[7]  F. Möller,et al.  Evaluation of a continuous blood glucose monitoring system using central venous microdialysis , 2011, Journal of diabetes science and technology.

[8]  Roman Hovorka,et al.  Clinical review: Consensus recommendations on measurement of blood glucose and reporting glycemic control in critically ill adults , 2013, Critical Care.

[9]  Fredrik Eidhagen,et al.  Intravascular Microdialysis as a Method for Measuring Glucose and Lactate during and after Cardiac Surgery , 2011, Journal of diabetes science and technology.

[10]  A. Öwall,et al.  Evaluation of a continuous blood glucose monitoring system using a central venous catheter with an integrated microdialysis function. , 2013, Diabetes technology & therapeutics.

[11]  Jorge Bondia,et al.  Real-time continuous glucose monitoring in an intensive care unit: better accuracy in patients with septic shock. , 2012, Diabetes technology & therapeutics.

[12]  D. Cox,et al.  Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data. , 2004, Diabetes care.

[13]  J. Wernerman,et al.  Continuous on-line glucose measurement by microdialysis in a central vein. A pilot study , 2013, Critical Care.

[14]  Roman Hovorka,et al.  Continuous glucose control in the ICU: report of a 2013 round table meeting , 2014, Critical Care.

[15]  Boris Kovatchev,et al.  The Surveillance Error Grid , 2014, Journal of diabetes science and technology.

[16]  M. Schultz,et al.  DETECT the Extremes That Usually Remain Undetected in Conventional Observational Studies. , 2016, Clinical chemistry.