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Published in: Journal of Clinical Monitoring and Computing 6/2018

01-12-2018 | Original Research

Assessment of changes in blood glucose concentration with intravascular microdialysis

Authors: Marc-Olivier Fischer, Corentin Gouëzel, Sabine Fradin, Vladimir Saplacan, Jean-Louis Gérard, Jean-Luc Fellahi, Jean-Luc Hanouz

Published in: Journal of Clinical Monitoring and Computing | Issue 6/2018

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Abstract

Blood glucose and its variability of is a major prognostic factor associated with morbidity. We hypothesized that intravenous microdialysis incorporated in a central venous catheter (CVC) would be interchangeable with changes in blood glucose measured by the reference method using a blood gas analyzer. Microdialysis and central venous blood glucose measurements were simultaneously recorded in high-risk cardiac surgical patients. The correlation between absolute values was determined by linear regression and the Bland–Altman test for repeated measurements was used to compare bias, precision, and limits of agreement. Changes in blood glucose measurement were evaluated by four-quadrant plot and trend interchangeability methods (TIM). In the 23 patients analyzed, the CVC was used as part of standard care with no complications. The correlation coefficient for absolute values (N = 99) was R = 0.91 (P < 0.001). The bias, precision and limits of agreement were − 9.1, 17.4 and − 43.2 to 24.9 mg/dL, respectively. The concordance rate for changes in blood glucose measurements (N = 77) was 85% with the four-quadrant plot. The TIM showed that 14 (18%) changes of blood glucose measurements were uninterpretable. Among the remaining 63 (82%) interpretable changes, 23 (37%) were interchangeable, 13 (20%) were in the gray zone, and 27 (43%) were not interchangeable. Microdialysis using a CVC appears to provide imprecise absolute blood glucose values with risk of insulin misuse. Moreover, only one third of changes in blood glucose measurements were interchangeable with the reference method using the TIM.
Literature
1.
go back to reference NICE-SUGAR Study Investigators, Finfer S, Chittock DR, Su SY-S, et al. Intensive versus conventional glucose control in critically ill patients. N Engl J Med. 2009;360:1283–97.CrossRef NICE-SUGAR Study Investigators, Finfer S, Chittock DR, Su SY-S, et al. Intensive versus conventional glucose control in critically ill patients. N Engl J Med. 2009;360:1283–97.CrossRef
2.
go back to reference van den Berghe G, Wouters P, Weekers F, et al. Intensive insulin therapy in critically ill patients. N Engl J Med. 2001;345:1359–67.CrossRef van den Berghe G, Wouters P, Weekers F, et al. Intensive insulin therapy in critically ill patients. N Engl J Med. 2001;345:1359–67.CrossRef
3.
go back to reference Critchell CD, Savarese V, Callahan A, Aboud C, Jabbour S, Marik P. Accuracy of bedside capillary blood glucose measurements in critically ill patients. Intensive Care Med. 2007;33:2079–84.CrossRef Critchell CD, Savarese V, Callahan A, Aboud C, Jabbour S, Marik P. Accuracy of bedside capillary blood glucose measurements in critically ill patients. Intensive Care Med. 2007;33:2079–84.CrossRef
4.
go back to reference Yatabe T, Yamazaki R, Kitagawa H, et al. The evaluation of the ability of closed-loop glycemic control device to maintain the blood glucose concentration in intensive care unit patients. Crit Care Med. 2011;39:575–8.CrossRef Yatabe T, Yamazaki R, Kitagawa H, et al. The evaluation of the ability of closed-loop glycemic control device to maintain the blood glucose concentration in intensive care unit patients. Crit Care Med. 2011;39:575–8.CrossRef
5.
go back to reference Leelarathna L, English SW, Thabit H, et al. Feasibility of fully automated closed-loop glucose control using continuous subcutaneous glucose measurements in critical illness: a randomized controlled trial. Crit Care 2013;17:R159.CrossRef Leelarathna L, English SW, Thabit H, et al. Feasibility of fully automated closed-loop glucose control using continuous subcutaneous glucose measurements in critical illness: a randomized controlled trial. Crit Care 2013;17:R159.CrossRef
6.
go back to reference Wollersheim T, Engelhardt LJ, Pachulla J, et al. Accuracy, reliability, feasibility and nurse acceptance of a subcutaneous continuous glucose management system in critically ill patients: a prospective clinical trial. Ann Intensive Care 2016;6:70.CrossRef Wollersheim T, Engelhardt LJ, Pachulla J, et al. Accuracy, reliability, feasibility and nurse acceptance of a subcutaneous continuous glucose management system in critically ill patients: a prospective clinical trial. Ann Intensive Care 2016;6:70.CrossRef
7.
go back to reference van Hooijdonk RTM, Leopold JH, Winters T, et al. Point accuracy and reliability of an interstitial continuous glucose-monitoring device in critically ill patients: a prospective study. Crit Care 2015;19:34.CrossRef van Hooijdonk RTM, Leopold JH, Winters T, et al. Point accuracy and reliability of an interstitial continuous glucose-monitoring device in critically ill patients: a prospective study. Crit Care 2015;19:34.CrossRef
8.
go back to reference Boom DT, Sechterberger MK, Rijkenberg S, et al. Insulin treatment guided by subcutaneous continuous glucose monitoring compared to frequent point-of-care measurement in critically ill patients: a randomized controlled trial. Crit Care 2014;18:453.CrossRef Boom DT, Sechterberger MK, Rijkenberg S, et al. Insulin treatment guided by subcutaneous continuous glucose monitoring compared to frequent point-of-care measurement in critically ill patients: a randomized controlled trial. Crit Care 2014;18:453.CrossRef
9.
go back to reference Smith JL, Rice MJ. Why have so many intravascular glucose monitoring devices failed? J Diabetes Sci Technol. 2015;9:782–91.CrossRef Smith JL, Rice MJ. Why have so many intravascular glucose monitoring devices failed? J Diabetes Sci Technol. 2015;9:782–91.CrossRef
10.
go back to reference Schierenbeck F, Owall A, Franco-Cereceda A, Liska J. Evaluation of continuous blood glucose monitoring system using a central venous catheter with an integrated microdialysis function. Diabetes Technol Ther. 2013;15:26–31.CrossRef Schierenbeck F, Owall A, Franco-Cereceda A, Liska J. Evaluation of continuous blood glucose monitoring system using a central venous catheter with an integrated microdialysis function. Diabetes Technol Ther. 2013;15:26–31.CrossRef
11.
go back to reference Schierenbeck F, Franco-Cereceda A, Liska J. Evaluation of continuous blood glucose monitoring system using central venous microdialysis. J Diabetes Sci Technol. 2012;6:1365–71.CrossRef Schierenbeck F, Franco-Cereceda A, Liska J. Evaluation of continuous blood glucose monitoring system using central venous microdialysis. J Diabetes Sci Technol. 2012;6:1365–71.CrossRef
12.
go back to reference Blixt C, Rooyackers O, Isaksson B, Wererman J. Continuous on-line glucose measurement by microdialysis in a central vein. A pilot study. Crit Care 2013;17:R87.CrossRef Blixt C, Rooyackers O, Isaksson B, Wererman J. Continuous on-line glucose measurement by microdialysis in a central vein. A pilot study. Crit Care 2013;17:R87.CrossRef
13.
go back to reference Schierenbeck F, Franco-Cereceda A, Liska J. Accuracy of 2 different continuous glucose monitoring systems in patients undergoing cardiac surgery: intravascular microdialysis versus subcutaneous tissue monitoring. J Diabetes Sci Technol. 2017;11:108–16.CrossRef Schierenbeck F, Franco-Cereceda A, Liska J. Accuracy of 2 different continuous glucose monitoring systems in patients undergoing cardiac surgery: intravascular microdialysis versus subcutaneous tissue monitoring. J Diabetes Sci Technol. 2017;11:108–16.CrossRef
14.
go back to reference Leopold JH, van Hooijdonk RTM, Boshuizen M, et al. Point and trend accuracy of continuous intravenous microdialysis-based glucose-monitoring device in critically ill patients: a prospective study. Ann Intensive Care 2016;6:68.CrossRef Leopold JH, van Hooijdonk RTM, Boshuizen M, et al. Point and trend accuracy of continuous intravenous microdialysis-based glucose-monitoring device in critically ill patients: a prospective study. Ann Intensive Care 2016;6:68.CrossRef
15.
go back to reference Klonoff DC, Lias C, Vigersky R, et al. The surveillance error grid. J Diabetes Sci Technol. 2014;8:658–72.CrossRef Klonoff DC, Lias C, Vigersky R, et al. The surveillance error grid. J Diabetes Sci Technol. 2014;8:658–72.CrossRef
16.
go back to reference Fischer MO, Diouf M, de Wilde RBP, Dupont H, Hanouz JL, Lorne E. Evaluation of cardiac output by 5 arterial pulse contour techniques using trend interchangeability method. Medicine (Baltim) 2016;95:e3530.CrossRef Fischer MO, Diouf M, de Wilde RBP, Dupont H, Hanouz JL, Lorne E. Evaluation of cardiac output by 5 arterial pulse contour techniques using trend interchangeability method. Medicine (Baltim) 2016;95:e3530.CrossRef
17.
go back to reference von Elm E, Altman DG, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147:573–7.CrossRef von Elm E, Altman DG, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147:573–7.CrossRef
18.
go back to reference Kottner J, Audigé L, Brorson S, et al. Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. J Clin Epidemiol. 2011;64:96–106.CrossRef Kottner J, Audigé L, Brorson S, et al. Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. J Clin Epidemiol. 2011;64:96–106.CrossRef
19.
go back to reference Roques F, Nashef SA, Michel P, et al. Risk factors and outcome in European cardiac surgery: analysis of the EuroSCORE multinational database of 19030 patients. Eur J Cardiothorac Surg. 1999;15:816–22–23.CrossRef Roques F, Nashef SA, Michel P, et al. Risk factors and outcome in European cardiac surgery: analysis of the EuroSCORE multinational database of 19030 patients. Eur J Cardiothorac Surg. 1999;15:816–22–23.CrossRef
20.
go back to reference Bland JM, Altman DG. Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat. 2007;17:571–82.CrossRef Bland JM, Altman DG. Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat. 2007;17:571–82.CrossRef
21.
go back to reference Perrino AC, Harris SN, Luther M. Intraoperative determination of cardiac output using multiplane transoesophageal echocardiography. A comparison to thermodilution. Anesthesiology 1998;89:350–7.CrossRef Perrino AC, Harris SN, Luther M. Intraoperative determination of cardiac output using multiplane transoesophageal echocardiography. A comparison to thermodilution. Anesthesiology 1998;89:350–7.CrossRef
22.
go back to reference Ouattara A, Lecomte P, Le Manach Y, et al. Poor intraoperative blood glucose control is associated with a worsened hospital outcome after cardiac surgery in diabetic patients. Anesthesiology 2005;103:687–94.CrossRef Ouattara A, Lecomte P, Le Manach Y, et al. Poor intraoperative blood glucose control is associated with a worsened hospital outcome after cardiac surgery in diabetic patients. Anesthesiology 2005;103:687–94.CrossRef
23.
go back to reference Thiele RH, Hucklenbruch C, Ma JZ, et al. Admission hyperglycemia is associated with poor outcome after emergent coronary bypass grafting surgery. J Crit Care 2015;30:1210–6.CrossRef Thiele RH, Hucklenbruch C, Ma JZ, et al. Admission hyperglycemia is associated with poor outcome after emergent coronary bypass grafting surgery. J Crit Care 2015;30:1210–6.CrossRef
24.
go back to reference SFAR, SRLF. Formal recommendations by the experts. Glycemic control in intensive care unit and during anaesthesia. Ann Fr Anesth Reanim. 2009;28:410–5.CrossRef SFAR, SRLF. Formal recommendations by the experts. Glycemic control in intensive care unit and during anaesthesia. Ann Fr Anesth Reanim. 2009;28:410–5.CrossRef
25.
go back to reference Wentholt IM, Hoekstra JB, Devries JH. A critical appraisal of the continuous glucose-error grid analysis. Diabetes Care 2006;29:1805–11.CrossRef Wentholt IM, Hoekstra JB, Devries JH. A critical appraisal of the continuous glucose-error grid analysis. Diabetes Care 2006;29:1805–11.CrossRef
26.
go back to reference Krinsley JS, Chase JG, Gunst J, et al. Continuous glucose monitoring in the ICU: clinical considerations and consensus. Crit Care 2017;21:197.CrossRef Krinsley JS, Chase JG, Gunst J, et al. Continuous glucose monitoring in the ICU: clinical considerations and consensus. Crit Care 2017;21:197.CrossRef
27.
go back to reference Bansal B, Carvalho P, Mehta Y, et al. Prognostic significance of glycemic variability after cardiac surgery. J Diabetes Complicat. 2016;30:613–7.CrossRef Bansal B, Carvalho P, Mehta Y, et al. Prognostic significance of glycemic variability after cardiac surgery. J Diabetes Complicat. 2016;30:613–7.CrossRef
28.
go back to reference Skjaervold NK, Aadahl P. Comparison of arterial and mixed venous blood glucose levels in hemodynamically unstable pigs: implications for location of a continuous glucose sensor. Acta Diabetol. 2012;49:489–91.CrossRef Skjaervold NK, Aadahl P. Comparison of arterial and mixed venous blood glucose levels in hemodynamically unstable pigs: implications for location of a continuous glucose sensor. Acta Diabetol. 2012;49:489–91.CrossRef
Metadata
Title
Assessment of changes in blood glucose concentration with intravascular microdialysis
Authors
Marc-Olivier Fischer
Corentin Gouëzel
Sabine Fradin
Vladimir Saplacan
Jean-Louis Gérard
Jean-Luc Fellahi
Jean-Luc Hanouz
Publication date
01-12-2018
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 6/2018
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-018-0111-x

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