Literature DB >> 27641781

Continuous glucose monitoring for patients with type 1 diabetes and impaired awareness of hypoglycaemia (IN CONTROL): a randomised, open-label, crossover trial.

Cornelis A J van Beers1, J Hans DeVries2, Susanne J Kleijer3, Mark M Smits3, Petronella H Geelhoed-Duijvestijn4, Mark H H Kramer3, Michaela Diamant3, Frank J Snoek5, Erik H Serné3.   

Abstract

BACKGROUND: Patients with type 1 diabetes who have impaired awareness of hypoglycaemia have a three to six times increased risk of severe hypoglycaemia. We aimed to assess whether continuous glucose monitoring (CGM) improves glycaemia and prevents severe hypoglycaemia compared with self-monitoring of blood glucose (SMBG) in this high-risk population.
METHODS: We did a randomised, open-label, crossover trial (IN CONTROL) at two medical centres in the Netherlands. Eligible participants were patients diagnosed with type 1 diabetes according to American Diabetes Association criteria, aged 18-75 years, with impaired awareness of hypoglycaemia as confirmed by a Gold score of at least 4, and treated with either continuous subcutaneous insulin infusion or multiple daily insulin injections and doing at least three SMBG measurements per day. After screening, re-education about diabetes management, and a 6-week run-in phase (to obtain baseline CGM data), we randomly assigned patients (1:1) with a computer-generated allocation sequence (block size of four) to either 16 weeks of CGM followed by 12 weeks of washout and 16 weeks of SMBG, or 16 weeks of SMBG followed by 12 weeks of washout and 16 weeks of CGM (where the SMBG phase was the control). During the CGM phase, patients used a real-time CGM system consisting of a Paradigm Veo system with a MiniLink transmitter and an Enlite glucose sensor (Medtronic, CA, USA). During the SMBG phase, patients were equipped with a masked CGM device, consisting of an iPro 2 continuous glucose monitor and an Enlite glucose sensor, which does not display real-time glucose values. The number of SMBG measurements per day and SMBG systems were not standardised between patients, to mimic real-life conditions. During both intervention periods, patients attended follow-up visits at the centres each month and had telephone consultations 2 weeks after each visit inquiring about adverse events, episodes of hypoglycaemia, etc. The primary endpoint was the mean difference in percentage of time spent in normoglycaemia (4-10 mmol/L) over the total intervention periods, analysed on an intention-to-treat basis. Severe hypoglycaemia (requiring third party assistance) was a secondary endpoint. This trial is registered with ClinicalTrials.gov, number NCT01787903.
FINDINGS: Between March 4, 2013, and Feb 9, 2015, we recruited and randomly assigned 52 patients to either the CGM-SMBG sequence (n=26) or the SMBG-CGM sequence (n=26). The last patient visit was on March 21, 2016. Time spent in normoglycaemia was higher during CGM than during SMBG: 65·0% (95% CI 62·8-67·3) versus 55·4% (53·1-57·7; mean difference 9·6%, 95% CI 8·0-11·2; p<0·0001), with reductions in both time spent in hypoglycaemia (ie, blood glucose ≤3·9 mmol/L [6·8% vs 11·4%, mean difference 4·7%, 3·4-5·9; p<0·0001]) and time spent in hyperglycaemia (ie, blood glucose >10 mmol/L [28·2% vs 33·2%, mean difference 5·0%, 3·1-6·9; p<0·0001]). During CGM, the number of severe hypoglycaemic events was lower (14 events vs 34 events, p=0·033). Five serious adverse events other than severe hypoglycaemia occurred during the trial, but all were deemed unrelated to the trial intervention. Additionally, no mild to moderate adverse events were related to the trial intervention.
INTERPRETATION: CGM increased time spent in normoglycaemia and reduced severe hypoglycaemia in patients with type 1 diabetes and impaired awareness of hypoglycaemia, compared with SMBG. Our results support the concept of using CGM in this high-risk population. FUNDING: Eli Lilly and Sanofi.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27641781     DOI: 10.1016/S2213-8587(16)30193-0

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


  77 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.  Real-time continuous glucose monitoring decreases the risk of severe hypoglycemia in people with type 1 diabetes and impaired awareness of hypoglycemia.

Authors:  Paola Lucidi; Francesca Porcellati; Geremia B Bolli; Carmine G Fanelli
Journal:  Ann Transl Med       Date:  2018-12

3.  Technological Path Supported by Technological Desk: A Practical Proposal of Clinical Management for People With Type 1 Diabetes Using Technology.

Authors:  Basilio Pintaudi; Federico Bertuzzi; Ilaria Gironi; Elena Mion; Olga Disoteo; Gianluigi Pizzi; Arianna Pani; Matteo Bonomo
Journal:  J Diabetes Sci Technol       Date:  2019-05-22

Review 4.  How Much Accuracy of Interstitial Glucose Measurement Is Enough? Is There a Need for New Evidence?

Authors:  Norbert Hermanns; Dominic Ehrmann; Bernhard Kulzer
Journal:  J Diabetes Sci Technol       Date:  2016-11-10

Review 5.  Continuous Glucose Monitoring and Global Reimbursement: An Update.

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

6.  The 30-year cost-effectiveness of alternative strategies to achieve excellent glycemic control in type 1 diabetes: An economic simulation informed by the results of the diabetes control and complications trial/epidemiology of diabetes interventions and complications (DCCT/EDIC).

Authors:  William H Herman; Barbara H Braffett; Shihchen Kuo; Joyce M Lee; Michael Brandle; Alan M Jacobson; Lisa A Prosser; John M Lachin
Journal:  J Diabetes Complications       Date:  2018-06-12       Impact factor: 2.852

Review 7.  Impact of CGM on the Management of Hypoglycemia Problems: Overview and Secondary Analysis of the HypoDE Study.

Authors:  Norbert Hermanns; Lutz Heinemann; Guido Freckmann; Delia Waldenmaier; Dominic Ehrmann
Journal:  J Diabetes Sci Technol       Date:  2019-03-06

Review 8.  Artificial Pancreas: Current Progress and Future Outlook in the Treatment of Type 1 Diabetes.

Authors:  Rozana Ramli; Monika Reddy; Nick Oliver
Journal:  Drugs       Date:  2019-07       Impact factor: 9.546

Review 9.  Improving the clinical value and utility of CGM systems: issues and recommendations : A joint statement of the European Association for the Study of Diabetes and the American Diabetes Association Diabetes Technology Working Group.

Authors:  John R Petrie; Anne L Peters; Richard M Bergenstal; Reinhard W Holl; G Alexander Fleming; Lutz Heinemann
Journal:  Diabetologia       Date:  2017-10-25       Impact factor: 10.122

Review 10.  Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes.

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

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