Literature DB >> 26810924

Assessing the Accuracy of Continuous Glucose Monitoring (CGM) Calibrated With Capillary Values Using Capillary or Venous Glucose Levels as a Reference.

Mervi Andelin1, Jort Kropff2, Viktorija Matuleviciene3, Jeffrey I Joseph4, Stig Attvall3, Elvar Theodorsson5, Irl B Hirsch6, Henrik Imberg7, Sofia Dahlqvist1, David Klonoff8, Börje Haraldsson3, J Hans DeVries2, Marcus Lind9.   

Abstract

BACKGROUND: Using the standard venous reference for the evaluation of continuous glucose monitoring (CGM) systems could possibly negatively affect measured CGM accuracy since CGM are generally calibrated with capillary glucose and venous and capillary glucose concentrations differ. We therefore aimed to quantify the effect of using capillary versus venous glucose reference samples on estimated accuracy in capillary calibrated CGM.
METHODS: We evaluated 41 individuals with type 1 diabetes mellitus (T1DM) using the Dexcom G4 CGM system over 6 days. Patients calibrated their CGM devices with capillary glucose by means of the HemoCue system. During 2 visits, capillary and venous samples were simultaneously measured by HemoCue and compared to concomitantly obtained CGM readings. The mean absolute relative difference (MARD) was calculated using capillary and venous reference samples.
RESULTS: Venous glucose values were 0.83 mmol/L (15.0 mg/dl) lower than capillary values over all glycemic ranges, P < .0001. Below 4 mmol/l (72 mg/dl), the difference was 1.25 mmol/l (22.5 mg/dl), P = .0001, at 4-10 mmol/l (72-180 mg/dl), 0.67 mmol/l (12.0 mg/dl), P < .0001 and above 10 mmol/l (180 mg/dl), 0.95 mmol/l (17.1 mg/dl), P < .0001. MARD was 11.7% using capillary values as reference compared to 13.7% using venous samples, P = .037. Below 4 mmol/l (72 mg/dl) MARD was 16.6% and 31.8%, P = .048, at 4-10 mmol/l (72-180 mg/dl) 12.1% and 12.6%, P = .32, above 10 mmol/l (180 mg/dl) 8.7% and 9.2%, P = .82.
CONCLUSION: Using capillary glucose concentrations as reference to evaluate the accuracy of CGM calibrated with capillary samples is associated with a lower MARD than using venous glucose as the reference. Capillary glucose concentrations were significantly higher than venous in all glycemic ranges.
© 2016 Diabetes Technology Society.

Entities:  

Keywords:  accuracy; calibration; capillary; continuous glucose monitoring (CGM); type 1 diabetes; venous

Mesh:

Substances:

Year:  2016        PMID: 26810924      PMCID: PMC4928217          DOI: 10.1177/1932296815626724

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  26 in total

1.  Relationships of glucose concentrations in capillary whole blood, venous whole blood and venous plasma.

Authors:  K Kuwa; T Nakayama; T Hoshino; M Tominaga
Journal:  Clin Chim Acta       Date:  2001-05       Impact factor: 3.786

2.  Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes.

Authors:  David M Nathan; Patricia A Cleary; Jye-Yu C Backlund; Saul M Genuth; John M Lachin; Trevor J Orchard; Philip Raskin; Bernard Zinman
Journal:  N Engl J Med       Date:  2005-12-22       Impact factor: 91.245

3.  Hypoglycemia Reduction and Accuracy of Continuous Glucose Monitoring.

Authors:  Boris P Kovatchev
Journal:  Diabetes Technol Ther       Date:  2015-05-15       Impact factor: 6.118

4.  Glycaemic control and incidence of heart failure in 20,985 patients with type 1 diabetes: an observational study.

Authors:  Marcus Lind; Ioannis Bounias; Marita Olsson; Soffia Gudbjörnsdottir; Ann-Marie Svensson; Annika Rosengren
Journal:  Lancet       Date:  2011-06-24       Impact factor: 79.321

5.  A clinical trial of the accuracy and treatment experience of the Dexcom G4 sensor (Dexcom G4 system) and Enlite sensor (guardian REAL-time system) tested simultaneously in ambulatory patients with type 1 diabetes.

Authors:  Viktorija Matuleviciene; Jeffrey I Joseph; Mervi Andelin; Irl B Hirsch; Stig Attvall; Aldina Pivodic; Sofia Dahlqvist; David Klonoff; Börje Haraldsson; Marcus Lind
Journal:  Diabetes Technol Ther       Date:  2014-09-18       Impact factor: 6.118

6.  Continuous glucose monitoring accuracy results vary between assessment at home and assessment at the clinical research center.

Authors:  Yoeri M Luijf; Angelo Avogaro; Carsten Benesch; Daniela Bruttomesso; Claudio Cobelli; Martin Ellmerer; Lutz Heinemann; Julia K Mader; J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

7.  A new-generation continuous glucose monitoring system: improved accuracy and reliability compared with a previous-generation system.

Authors:  Mark Christiansen; Timothy Bailey; Elaine Watkins; David Liljenquist; David Price; Katherine Nakamura; Robert Boock; Thomas Peyser
Journal:  Diabetes Technol Ther       Date:  2013-06-18       Impact factor: 6.118

8.  Capillary and venous blood glucose concentrations measured during intravenous insulin and glucose infusion: a comparison of steady and dynamic states.

Authors:  Kirsten Kempe; David Price; John Ellison; Joseph Marhoul; Linda Morrow; Khin Win; Kirstin Kuschma; Marcus Hompesch
Journal:  Diabetes Technol Ther       Date:  2009-10       Impact factor: 6.118

9.  Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data.

Authors:  John C Pickup; Suzanne C Freeman; Alex J Sutton
Journal:  BMJ       Date:  2011-07-07

10.  Accuracy of two continuous glucose monitoring systems: a head-to-head comparison under clinical research centre and daily life conditions.

Authors:  J Kropff; D Bruttomesso; W Doll; A Farret; S Galasso; Y M Luijf; J K Mader; J Place; F Boscari; T R Pieber; E Renard; J H DeVries
Journal:  Diabetes Obes Metab       Date:  2014-09-10       Impact factor: 6.577

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  14 in total

1.  Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space.

Authors:  Lutz Heinemann; Michael Schoemaker; Günther Schmelzeisen-Redecker; Rolf Hinzmann; Adham Kassab; Guido Freckmann; Florian Reiterer; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2019-06-19

2.  Discrepancies Between Blood Glucose and Interstitial Glucose-Technological Artifacts or Physiology: Implications for Selection of the Appropriate Therapeutic Target.

Authors:  Thorsten Siegmund; Lutz Heinemann; Ralf Kolassa; Andreas Thomas
Journal:  J Diabetes Sci Technol       Date:  2017-03-21

3.  Glucose Sensing in the Subcutaneous Tissue: Attempting to Correlate the Immune Response with Continuous Glucose Monitoring Accuracy.

Authors:  Jeffrey I Joseph; Gabriella Eisler; David Diaz; Abdurizzagh Khalf; Channy Loeum; Marc C Torjman
Journal:  Diabetes Technol Ther       Date:  2018-05       Impact factor: 6.118

Review 4.  Future of Automated Insulin Delivery Systems.

Authors:  Jessica R Castle; J Hans DeVries; Boris Kovatchev
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

5.  Lag Time Remains with Newer Real-Time Continuous Glucose Monitoring Technology During Aerobic Exercise in Adults Living with Type 1 Diabetes.

Authors:  Dessi P Zaharieva; Kamuran Turksoy; Sarah M McGaugh; Rubin Pooni; Todd Vienneau; Trang Ly; Michael C Riddell
Journal:  Diabetes Technol Ther       Date:  2019-05-06       Impact factor: 6.118

6.  Review of the Long-Term Implantable Senseonics Continuous Glucose Monitoring System and Other Continuous Glucose Monitoring Systems.

Authors:  Jeffrey I Joseph
Journal:  J Diabetes Sci Technol       Date:  2020-04-29

7.  Evaluation of Reference Metrics for Continuous Glucose Monitoring in Persons Without Diabetes and Prediabetes.

Authors:  Sheyda Sofizadeh; Anders Pehrsson; Arndís F Ólafsdóttir; Marcus Lind
Journal:  J Diabetes Sci Technol       Date:  2020-10-26

Review 8.  Technologies for Diabetes Self-Monitoring: A Scoping Review and Assessment Using the REASSURED Criteria.

Authors:  Jessica Hanae Zafra-Tanaka; David Beran; Beatrice Vetter; Rangarajan Sampath; Antonio Bernabe-Ortiz
Journal:  J Diabetes Sci Technol       Date:  2021-03-09

9.  Evaluation of accuracy of ambulatory glucose profile in an outpatient setting in children with type 1 diabetes.

Authors:  Anjana Hulse; Suahma Rai; K M Prasanna Kumar
Journal:  Indian J Endocrinol Metab       Date:  2016 Sep-Oct

10.  A Clinical Trial of the Accuracy and Treatment Experience of the Flash Glucose Monitor FreeStyle Libre in Adults with Type 1 Diabetes.

Authors:  Arndís F Ólafsdóttir; Stig Attvall; Ulrika Sandgren; Sofia Dahlqvist; Aldina Pivodic; Stanko Skrtic; Elvar Theodorsson; Marcus Lind
Journal:  Diabetes Technol Ther       Date:  2017-03-06       Impact factor: 6.118

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