Literature DB >> 27208319

Continuous Glucose Monitoring in Patients With Type 1 Diabetes Using Insulin Injections.

Nicole C Foster1, Kellee M Miller2, William V Tamborlane3, Richard M Bergenstal4, Roy W Beck2.   

Abstract

Entities:  

Year:  2016        PMID: 27208319      PMCID: PMC5317243          DOI: 10.2337/dc16-0207

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


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Continuous glucose monitoring (CGM) has been demonstrated in randomized trials to improve glucose control in patients with type 1 diabetes (T1D) (1–3); however, most of the participants in these trials have used a pump for insulin delivery, and the use of CGM in T1D patients receiving insulin by injection has not been well studied. We used the T1D Exchange registry database to assess the impact of CGM on HbA1c in insulin injection users. Details on the informed consent process, eligibility criteria, and data collection methods have been previously published (4). Participants were defined as CGM users if CGM was used for real-time diabetes management during the 30 days prior to the clinic visit. Among the 17,731 registry participants with T1D duration >1 year who had a clinic visit between June 2014 and October 2015, 6,222 (35%) used injections alone, 8,783 (50%) used pump alone, 2,316 (13%) used pump with CGM, and 410 (2%) used injections with CGM. A Dexcom CGM was being used by 97% of the injection + CGM users and by 58% of the pump + CGM users. Of the 2,726 participants using CGM, 85% were receiving pump treatment, and only 15% were receiving injections. The median number of boluses of short-acting insulin per day was 3 (interquartile range 3, 4) in both participants using injections alone and participants using injections with CGM. Participant and clinical characteristics by insulin method and CGM use are available at http://email.t1dxresearch.org/mdicgi/Supplemental%20Table%20S1.pdf. Among CGM users, mean HbA1c was similar in injection and pump users (7.6 ± 1.3% vs. 7.7 ± 1.1%, P value from a linear mixed model adjusted for age, diabetes duration, race/ethnicity, education level, insurance status, annual income, and blood glucose meter testing frequency = 0.82) and lower in CGM users than in non-CGM users in the pump group (8.3 ± 1.5%, adjusted P < 0.001) and in the injection group (8.8 ± 1.9%, adjusted P < 0.001). As shown in Fig. 1, this pattern was seen in both adults and youth.
Figure 1

Mean HbA1c according to insulin modality/CGM use status. Solid black bar, injection + CGM; solid white bar, pump + CGM; black and white striped bar, pump only; black dotted bar, injection only.

Mean HbA1c according to insulin modality/CGM use status. Solid black bar, injection + CGM; solid white bar, pump + CGM; black and white striped bar, pump only; black dotted bar, injection only. In this analysis of T1D Exchange registry data, CGM users, irrespective of insulin delivery method, had lower HbA1c levels than non-CGM users even after adjustment for potential confounding factors. Importantly, CGM users who were using injection for insulin delivery had HbA1c levels similar to those of CGM users using an insulin pump. This is consistent with the results from the JDRF CGM randomized controlled trial in which 9 adult injection/CGM users had a magnitude of HbA1c improvement similar to that of 41 adult pump/CGM users (−0.54 vs. −0.50) (2). Although the results of this study appear to make a compelling case for greater use of CGM in injection users, cross-sectional analyses such as this one are subject to potential bias. For instance, we do not have information on how many injection users tried CGM and discontinued it, and thus, the cohort of injection + CGM users in the study may be self-selected to be those who are more likely to have lower HbA1c levels. Nevertheless, the results of the study suggest that CGM can be beneficial for insulin injection users across all age-groups to achieve optimized metabolic control of T1D. However, the critical information needed to assess the benefit of CGM for injection users will require a randomized trial focusing on injection users.
  4 in total

1.  The T1D Exchange clinic registry.

Authors:  Roy W Beck; William V Tamborlane; Richard M Bergenstal; Kellee M Miller; Stephanie N DuBose; Callyn A Hall
Journal:  J Clin Endocrinol Metab       Date:  2012-09-20       Impact factor: 5.958

2.  Continuous glucose monitoring and intensive treatment of type 1 diabetes.

Authors:  William V Tamborlane; Roy W Beck; Bruce W Bode; Bruce Buckingham; H Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Irl B Hirsch; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Lori Laffel; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing
Journal:  N Engl J Med       Date:  2008-09-08       Impact factor: 91.245

3.  Effectiveness of continuous glucose monitoring in a clinical care environment: evidence from the Juvenile Diabetes Research Foundation continuous glucose monitoring (JDRF-CGM) trial.

Authors: 
Journal:  Diabetes Care       Date:  2009-10-16       Impact factor: 19.112

4.  The effect of continuous glucose monitoring in well-controlled type 1 diabetes.

Authors:  Roy W Beck; Irl B Hirsch; Lori Laffel; William V Tamborlane; Bruce W Bode; Bruce Buckingham; Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart A Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing
Journal:  Diabetes Care       Date:  2009-05-08       Impact factor: 19.112

  4 in total
  27 in total

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Journal:  J Diabetes Sci Technol       Date:  2017-03-01

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Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

Review 3.  Continuous Glucose Monitoring with Multiple Daily Insulin Treatment: Outcome Studies.

Authors:  Janet B McGill; Andrew Ahmann
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

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Journal:  Endocrine       Date:  2017-05-27       Impact factor: 3.633

5.  Continuous Glucose Monitoring Use in Type 1 Diabetes: Longitudinal Analysis Demonstrates Meaningful Improvements in HbA1c and Reductions in Health Care Utilization.

Authors:  Christopher G Parkin; Claudia Graham; John Smolskis
Journal:  J Diabetes Sci Technol       Date:  2017-02-01

6.  Accuracy of a 14-Day Factory-Calibrated Continuous Glucose Monitoring System With Advanced Algorithm in Pediatric and Adult Population With Diabetes.

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Journal:  J Diabetes Sci Technol       Date:  2020-09-19

7.  Impact of CCL2 and CCR2 chemokine/receptor deficiencies on macrophage recruitment and continuous glucose monitoring in vivo.

Authors:  Ulrike Klueh; Caroline Czajkowski; Izabela Ludzinska; Yi Qiao; Jackman Frailey; Donald L Kreutzer
Journal:  Biosens Bioelectron       Date:  2016-06-23       Impact factor: 10.618

8.  Chattering-free hybrid adaptive neuro-fuzzy inference system-particle swarm optimisation data fusion-based BG-level control.

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Journal:  IET Syst Biol       Date:  2020-02       Impact factor: 1.615

9.  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

10.  Pancreas transplant in type 1 diabetes mellitus: the emerging role of islet cell transplant.

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