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Manual versus Automated moNitoring Accuracy of GlucosE II (MANAGE II)

BACKGROUND: Intravascular continuous glucose monitoring (CGM) may facilitate glycemic control in the intensive care unit (ICU). We compared the accuracy of a CGM device (OptiScanner®) with a standard reference method. METHODS: Adult patients who had blood glucose (BG) levels >150 mg/dl and requir...

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Autores principales: Righy Shinotsuka, Cláudia, Brasseur, Alexandre, Fagnoul, David, So, Timothy, Vincent, Jean-Louis, Preiser, Jean-Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123350/
https://www.ncbi.nlm.nih.gov/pubmed/27884157
http://dx.doi.org/10.1186/s13054-016-1547-3
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author Righy Shinotsuka, Cláudia
Brasseur, Alexandre
Fagnoul, David
So, Timothy
Vincent, Jean-Louis
Preiser, Jean-Charles
author_facet Righy Shinotsuka, Cláudia
Brasseur, Alexandre
Fagnoul, David
So, Timothy
Vincent, Jean-Louis
Preiser, Jean-Charles
author_sort Righy Shinotsuka, Cláudia
collection PubMed
description BACKGROUND: Intravascular continuous glucose monitoring (CGM) may facilitate glycemic control in the intensive care unit (ICU). We compared the accuracy of a CGM device (OptiScanner®) with a standard reference method. METHODS: Adult patients who had blood glucose (BG) levels >150 mg/dl and required insertion of an arterial and central venous catheter were included. The OptiScanner® was inserted into a multiple-lumen central venous catheter. Patients were treated using a dynamic-scale insulin algorithm to achieve BG values between 80 and 150 mg/dl. The BG values measured by the OptiScanner® were plotted against BG values measured using a reference analyzer. The correlation between the BG values measured using the two methods and the clinical relevance of any differences were assessed using the coefficient of determination (r (2)) and the Clarke error grid, respectively; bias was assessed by the mean absolute relative difference (MARD). Three different standards of glucose monitoring were used to assess accuracy. Glycemic control was assessed using the time in range (TIR). Six indices of glycemic variability were calculated. RESULTS: The analysis included 929 paired samples from 88 patients, monitored for a total of 2584 hours. Reference BG values ranged between 60 and 484 mg/dl. The r (2) value was 0.89. The percentage of BG values within zones A and B of the Clarke error grid was 99.9%; the MARD was 7.7%. Using the ISO 15197 standard and Food and Drug Administration and consensus standards, respectively, 80.4% of measurements were within 15 mg/dl and 88.2% within 15% of reference values, 40% of measurements were within 7 mg/dl and 72.5% within 10% of reference values, and 65.2% of measurements were within 10 mg/dl and 82.7% within 12.5% of reference values. The TIR was slightly lower with the OptiScanner® than with the reference method. The J-index, standard deviation and maximal glucose change were the indices of glycemic variability least affected by the measurement device. CONCLUSIONS: Based on the MARD, the performance of the OptiScanner® is adequate for use in ICU patients. Because recent standards for accuracy were not met, the OptiScanner® should not be used as a sole monitor. The assessment of glycemic variability is influenced by the time interval between BG determinations. TRIAL REGISTRATION: Clinicaltrials.gov NCT01720381. Registered 31 October 2012.
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spelling pubmed-51233502016-12-06 Manual versus Automated moNitoring Accuracy of GlucosE II (MANAGE II) Righy Shinotsuka, Cláudia Brasseur, Alexandre Fagnoul, David So, Timothy Vincent, Jean-Louis Preiser, Jean-Charles Crit Care Research BACKGROUND: Intravascular continuous glucose monitoring (CGM) may facilitate glycemic control in the intensive care unit (ICU). We compared the accuracy of a CGM device (OptiScanner®) with a standard reference method. METHODS: Adult patients who had blood glucose (BG) levels >150 mg/dl and required insertion of an arterial and central venous catheter were included. The OptiScanner® was inserted into a multiple-lumen central venous catheter. Patients were treated using a dynamic-scale insulin algorithm to achieve BG values between 80 and 150 mg/dl. The BG values measured by the OptiScanner® were plotted against BG values measured using a reference analyzer. The correlation between the BG values measured using the two methods and the clinical relevance of any differences were assessed using the coefficient of determination (r (2)) and the Clarke error grid, respectively; bias was assessed by the mean absolute relative difference (MARD). Three different standards of glucose monitoring were used to assess accuracy. Glycemic control was assessed using the time in range (TIR). Six indices of glycemic variability were calculated. RESULTS: The analysis included 929 paired samples from 88 patients, monitored for a total of 2584 hours. Reference BG values ranged between 60 and 484 mg/dl. The r (2) value was 0.89. The percentage of BG values within zones A and B of the Clarke error grid was 99.9%; the MARD was 7.7%. Using the ISO 15197 standard and Food and Drug Administration and consensus standards, respectively, 80.4% of measurements were within 15 mg/dl and 88.2% within 15% of reference values, 40% of measurements were within 7 mg/dl and 72.5% within 10% of reference values, and 65.2% of measurements were within 10 mg/dl and 82.7% within 12.5% of reference values. The TIR was slightly lower with the OptiScanner® than with the reference method. The J-index, standard deviation and maximal glucose change were the indices of glycemic variability least affected by the measurement device. CONCLUSIONS: Based on the MARD, the performance of the OptiScanner® is adequate for use in ICU patients. Because recent standards for accuracy were not met, the OptiScanner® should not be used as a sole monitor. The assessment of glycemic variability is influenced by the time interval between BG determinations. TRIAL REGISTRATION: Clinicaltrials.gov NCT01720381. Registered 31 October 2012. BioMed Central 2016-11-25 /pmc/articles/PMC5123350/ /pubmed/27884157 http://dx.doi.org/10.1186/s13054-016-1547-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Righy Shinotsuka, Cláudia
Brasseur, Alexandre
Fagnoul, David
So, Timothy
Vincent, Jean-Louis
Preiser, Jean-Charles
Manual versus Automated moNitoring Accuracy of GlucosE II (MANAGE II)
title Manual versus Automated moNitoring Accuracy of GlucosE II (MANAGE II)
title_full Manual versus Automated moNitoring Accuracy of GlucosE II (MANAGE II)
title_fullStr Manual versus Automated moNitoring Accuracy of GlucosE II (MANAGE II)
title_full_unstemmed Manual versus Automated moNitoring Accuracy of GlucosE II (MANAGE II)
title_short Manual versus Automated moNitoring Accuracy of GlucosE II (MANAGE II)
title_sort manual versus automated monitoring accuracy of glucose ii (manage ii)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123350/
https://www.ncbi.nlm.nih.gov/pubmed/27884157
http://dx.doi.org/10.1186/s13054-016-1547-3
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