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Published in: Diabetes Therapy 2/2019

Open Access 01-04-2019 | Type 2 Diabetes | Original Research

Efficacy of Real-Time Continuous Glucose Monitoring to Improve Effects of a Prescriptive Lifestyle Intervention in Type 2 Diabetes: A Pilot Study

Authors: Penelope J. Taylor, Campbell H. Thompson, Natalie D. Luscombe-Marsh, Thomas P. Wycherley, Gary Wittert, Grant D. Brinkworth

Published in: Diabetes Therapy | Issue 2/2019

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Abstract

Introduction

Optimising patient adherence to prescribed lifestyle interventions to achieve improved blood glucose control remains a challenge. Combined use of real-time continuous glucose monitoring systems (RT-CGM) may promote improved glycaemic control. This pilot study examines the effects of a prescriptive lifestyle modification programme when combined with RT-CGM on blood glucose control and cardiovascular disease risk markers.

Methods

Twenty adults (10 men, 10 women) with obesity and type-2 diabetes (T2D) (age 60.55 ± 8.38 years, BMI 34.22 ± 4.67 kg/m2) were randomised to a prescriptive low-carbohydrate diet and lifestyle plan whilst continuously wearing either an RT-CGM or an ‘offline-blinded’ monitor (control) for 12 weeks. Outcomes were glycaemic control (HbA1c, fasting glucose, glycaemic variability [GV]), diabetes medication (MeS), weight, blood pressure and lipids assessed pre- and post-intervention.

Results

Both groups experienced reductions in body weight (RT-CGM − 7.4 ± 4.5 kg vs. control − 5.5 ± 4.0 kg), HbA1c (− 0.67 ± 0.82% vs. − 0.68 ± 0.74%), fasting blood glucose (− 1.2 ± 1.9 mmol/L vs. − 1.0 ± 2.2 mmol/L), LDL-C (− 0.07 ± 0.34 mmol/L vs. − 0.26 ± 0.42 mmol/L) and triglycerides (− 0.32 ± 0.46 mmol/L vs. − 0.36 ± 0.53 mmol/L); with no differential effect between groups (P ≥ 0.10). At week 12, GV indices were consistently lower by at least sixfold in RT-CGM compared to control (CONGA-1 − 0.27 ± 0.36 mmol/L vs. 0.06 ± 0.19 mmol/L; CONGA-2 − 0.36 ± 0.54 mmol/L vs. 0.05 ± 2.88 mmol/L; CONGA-4 − 0.44 ± 0.67 mmol/L vs. − 0.02 ± 0.42 mmol/L; CONGA-8 − 0.36 ± 0.61 vs. 0.02 ± 0.52 mmol/L; MAGE − 0.69 ± 1.14 vs. − 0.09 ± 0.08 mmol/L, although there was insufficient power to achieve statistical significance (P ≥ 0.11). Overall, there was an approximately 40% greater reduction in blood glucose-lowering medication (MeS) in RT-CGM (− 0.30 ± 0.59) compared to control (0.02 ± 0.23).

Conclusion

This study provides preliminary evidence that RT-CGM may be an effective strategy to optimise glucose control whilst following a low-carbohydrate lifestyle programme that targets improved glycaemic control, with minimal professional support.

Trial Registration

Australian New Zealand Clinical Trials Registry identifier, ANZTR: 372898.

Funding

Grant funding was received for the delivery of the clinical trial only, by the Diabetes Australia Research Trust (DART).
Appendix
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Literature
2.
go back to reference American Diaebtes Associated (ADA): Standards of Medical Care in Diabetes—2017. Diab Care. 2017;40 (Suppl 1):S1–S5. American Diaebtes Associated (ADA): Standards of Medical Care in Diabetes—2017. Diab Care. 2017;40 (Suppl 1):S1–S5.
3.
go back to reference Dunkley AJ, Charles K, Gray LK, et al. Effectiveness of interventions for reducing diabetes and cardiovascular disease risk in people with metabolic syndrome: systematic review and mixed treatment comparison meta-analysis. Diabetes Obes Metab. 2012;14:616–25.PubMedCrossRef Dunkley AJ, Charles K, Gray LK, et al. Effectiveness of interventions for reducing diabetes and cardiovascular disease risk in people with metabolic syndrome: systematic review and mixed treatment comparison meta-analysis. Diabetes Obes Metab. 2012;14:616–25.PubMedCrossRef
4.
go back to reference Terranova CO, Brakenridge CL, Lawler SP, et al. Effectiveness of lifestyle-based weight loss interventions for adults with type 2 diabetes: a systematic review and meta-analysis. Diabetes Obes Metab. 2015;17:371–8.PubMedCrossRef Terranova CO, Brakenridge CL, Lawler SP, et al. Effectiveness of lifestyle-based weight loss interventions for adults with type 2 diabetes: a systematic review and meta-analysis. Diabetes Obes Metab. 2015;17:371–8.PubMedCrossRef
5.
go back to reference Franz MJ, Boucher JL, Rutten-Ramon S, et al. Lifestyle weight-loss intervention outcomes in overweight and obese adults with type 2 diabetes: a systematic review and meta-analysis of randomized clinical trials. J Acad Nutr Diet. 2015;115:1447–63.PubMedCrossRef Franz MJ, Boucher JL, Rutten-Ramon S, et al. Lifestyle weight-loss intervention outcomes in overweight and obese adults with type 2 diabetes: a systematic review and meta-analysis of randomized clinical trials. J Acad Nutr Diet. 2015;115:1447–63.PubMedCrossRef
6.
go back to reference Forouhi NG, Misra A, Mohan V, et al. Dietary and nutritional approaches for prevention and management of type 2 diabetes. BMJ. 2018;361:2234–43.CrossRef Forouhi NG, Misra A, Mohan V, et al. Dietary and nutritional approaches for prevention and management of type 2 diabetes. BMJ. 2018;361:2234–43.CrossRef
7.
go back to reference Tay J, Luscombe-Marsh ND, Thompson CH, et al. Comparison of low- and high-carbohydrate diets for type 2 diabetes management: a randomized trial. Am J Clin Nutr. 2015;102:780–90.PubMedCrossRef Tay J, Luscombe-Marsh ND, Thompson CH, et al. Comparison of low- and high-carbohydrate diets for type 2 diabetes management: a randomized trial. Am J Clin Nutr. 2015;102:780–90.PubMedCrossRef
8.
go back to reference Tay J, Luscombe-Marsh ND, Thompson CH, et al. A very low-carbohydrate, low-saturated fat diet for type 2 diabetes management: a randomized trial. Diabetes Care. 2014;37:2909–18.PubMedCrossRef Tay J, Luscombe-Marsh ND, Thompson CH, et al. A very low-carbohydrate, low-saturated fat diet for type 2 diabetes management: a randomized trial. Diabetes Care. 2014;37:2909–18.PubMedCrossRef
10.
go back to reference Cardoso CRL, Leite NC, Moram CBM, et al. Long-term visit-to-visit glycemic variability as predictor of micro- and macrovascular complications in patients with type 2 diabetes: The Rio de Janeiro Type 2 Diabetes Cohort Study. Cardiovasc Diabetol. 2018;17–33. Cardoso CRL, Leite NC, Moram CBM, et al. Long-term visit-to-visit glycemic variability as predictor of micro- and macrovascular complications in patients with type 2 diabetes: The Rio de Janeiro Type 2 Diabetes Cohort Study. Cardiovasc Diabetol. 2018;17–33.
11.
go back to reference Skrha J, Soupal J, Skrha JJR, et al. Glucose variability, HbA1c and microvascular complications. Rev Endocr Metab Disord. 2016;17:103–10.PubMedCrossRef Skrha J, Soupal J, Skrha JJR, et al. Glucose variability, HbA1c and microvascular complications. Rev Endocr Metab Disord. 2016;17:103–10.PubMedCrossRef
12.
go back to reference Monnier L, Mas E, Ginet C, et al. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA. 2006;295:1681–7.PubMedCrossRef Monnier L, Mas E, Ginet C, et al. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA. 2006;295:1681–7.PubMedCrossRef
14.
go back to reference Hirsch IB. Glycemic variability and diabetes complications: does it matter? Of course it does! Diabetes Care. 2015;38:1610–4.PubMedCrossRef Hirsch IB. Glycemic variability and diabetes complications: does it matter? Of course it does! Diabetes Care. 2015;38:1610–4.PubMedCrossRef
15.
go back to reference Wens J, Vermeire E, Royen PV, et al. GPs’ perspectives of type 2 diabetes patients’ adherence to treatment: a qualitative analysis of barriers and solutions. BMC Fam Pract. 2005;6:20–30.PubMedPubMedCentralCrossRef Wens J, Vermeire E, Royen PV, et al. GPs’ perspectives of type 2 diabetes patients’ adherence to treatment: a qualitative analysis of barriers and solutions. BMC Fam Pract. 2005;6:20–30.PubMedPubMedCentralCrossRef
16.
go back to reference Samdal GB, Eide GE, Barth T, et al. Effective behaviour change techniques for physical activity and healthy eating in overweight and obese adults; systematic review and meta-regression analyses. Int J Behav Nutr Phys Act. 2017;4:42–6.CrossRef Samdal GB, Eide GE, Barth T, et al. Effective behaviour change techniques for physical activity and healthy eating in overweight and obese adults; systematic review and meta-regression analyses. Int J Behav Nutr Phys Act. 2017;4:42–6.CrossRef
17.
go back to reference Guerci B, Drouin P, Grange V, et al. Self-monitoring of blood glucose significantly improves metabolic control in patients with type 2 diabetes mellitus: the Auto-Surveillance Intervention Active (ASIA) study. Diab Metab. 2003;29:587–94.CrossRef Guerci B, Drouin P, Grange V, et al. Self-monitoring of blood glucose significantly improves metabolic control in patients with type 2 diabetes mellitus: the Auto-Surveillance Intervention Active (ASIA) study. Diab Metab. 2003;29:587–94.CrossRef
18.
go back to reference Michie S, Abrahan C, Whittington C, et al. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol. 2009;28:690–701.PubMedCrossRef Michie S, Abrahan C, Whittington C, et al. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol. 2009;28:690–701.PubMedCrossRef
19.
go back to reference McAndrew L, Schneider SH, Burns E, et al. Does patient blood glucose monitoring improve diabetes control? A systematic review of the literature. Diabetes Educ. 2007;33:991–1011.PubMedCrossRef McAndrew L, Schneider SH, Burns E, et al. Does patient blood glucose monitoring improve diabetes control? A systematic review of the literature. Diabetes Educ. 2007;33:991–1011.PubMedCrossRef
20.
go back to reference Yoo HJ, An HG, Park SY, et al. Use of a real time continuous glucose monitoring system as a motivational device for poorly controlled type 2 diabetes. Diabetes Res Clin Pract. 2008;82:73–9.PubMedCrossRef Yoo HJ, An HG, Park SY, et al. Use of a real time continuous glucose monitoring system as a motivational device for poorly controlled type 2 diabetes. Diabetes Res Clin Pract. 2008;82:73–9.PubMedCrossRef
21.
go back to reference Bailey KJ, Little PJ, Jung ME. Self-monitoring using continuous glucose monitors with real-time feedback improves exercise adherence in individuals with impaired blood glucose: a pilot study. Diabetes Technol Ther. 2016;18:185–93.PubMedCrossRef Bailey KJ, Little PJ, Jung ME. Self-monitoring using continuous glucose monitors with real-time feedback improves exercise adherence in individuals with impaired blood glucose: a pilot study. Diabetes Technol Ther. 2016;18:185–93.PubMedCrossRef
22.
go back to reference Yoo HJ, Kim HS, Yang SJ, et al. Use of real time continuous glucose monitoring system as a motivational device for type 2 diabetes. Diabetes. 2008;57:55. Yoo HJ, Kim HS, Yang SJ, et al. Use of real time continuous glucose monitoring system as a motivational device for type 2 diabetes. Diabetes. 2008;57:55.
23.
go back to reference Ehrhardt NM, Chellappa M, Walker MS, et al. The effect of real-time continuous glucose monitoring on glycemic control in patients with type 2 diabetes mellitus. J Diabetes Sci Technol. 2011;5:668–75.PubMedPubMedCentralCrossRef Ehrhardt NM, Chellappa M, Walker MS, et al. The effect of real-time continuous glucose monitoring on glycemic control in patients with type 2 diabetes mellitus. J Diabetes Sci Technol. 2011;5:668–75.PubMedPubMedCentralCrossRef
24.
go back to reference Vigersky RA, Fonda SJ, Chellappa M, et al. Short- and long-term effects of real-time continuous glucose monitoring in patients with type 2 diabetes. Diabetes Care. 2012;35:32–8.PubMedCrossRef Vigersky RA, Fonda SJ, Chellappa M, et al. Short- and long-term effects of real-time continuous glucose monitoring in patients with type 2 diabetes. Diabetes Care. 2012;35:32–8.PubMedCrossRef
25.
go back to reference Poolsup N, Suksomboon N, Kyaw AM. Systematic review and meta-analysis of the effectiveness of continuous glucose monitoring (CGM) on glucose control in diabetes. Diabetol Metab Syndr. 2013;5:39–45.PubMedPubMedCentralCrossRef Poolsup N, Suksomboon N, Kyaw AM. Systematic review and meta-analysis of the effectiveness of continuous glucose monitoring (CGM) on glucose control in diabetes. Diabetol Metab Syndr. 2013;5:39–45.PubMedPubMedCentralCrossRef
26.
go back to reference Brinkworth GD, Taylor PJ. The CSIRO low carb diet. Sydney: Pan Macmillian; 2017. Brinkworth GD, Taylor PJ. The CSIRO low carb diet. Sydney: Pan Macmillian; 2017.
27.
go back to reference Tay J, Thompson CH, Brinkworth GD. Glycemic variability: assessing glycemia differently and the implications for dietary management of diabetes. Annu Rev Nutr. 2015;35:389–424.PubMedCrossRef Tay J, Thompson CH, Brinkworth GD. Glycemic variability: assessing glycemia differently and the implications for dietary management of diabetes. Annu Rev Nutr. 2015;35:389–424.PubMedCrossRef
28.
go back to reference Mayer SB, Jeffreys AS, Olsen MK, et al. Two diets with different haemoglobin A1c and antiglycaemic medication effects despite similar weight loss in type 2 diabetes. Diabetes Obes Metab. 2014;16:90–3.PubMedCrossRef Mayer SB, Jeffreys AS, Olsen MK, et al. Two diets with different haemoglobin A1c and antiglycaemic medication effects despite similar weight loss in type 2 diabetes. Diabetes Obes Metab. 2014;16:90–3.PubMedCrossRef
29.
go back to reference Nathan DM, Buse JB, Davidson MB, et al. Medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2009;32:93–203.CrossRef Nathan DM, Buse JB, Davidson MB, et al. Medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2009;32:93–203.CrossRef
30.
go back to reference Taylor PJ, Lange K, Thompson CH, et al. Association of glycemic variability and the anti-glycemic medication effect score in adults with type 2 diabetes. Diabetes Management. 2018;8:117–27. Taylor PJ, Lange K, Thompson CH, et al. Association of glycemic variability and the anti-glycemic medication effect score in adults with type 2 diabetes. Diabetes Management. 2018;8:117–27.
31.
go back to reference Chen Y, Zhang X, Pan B, et al. A modified formula for calculating low-density lipoprotein cholesterol values. Lipids Health Dis. 2010;9:52. Chen Y, Zhang X, Pan B, et al. A modified formula for calculating low-density lipoprotein cholesterol values. Lipids Health Dis. 2010;9:52.
32.
go back to reference Bland MJ, Altman DG. Best (but oft forgotten) practices: testing for treatment effects in randomized trials by separate analyses of changes from baseline in each group is a misleading approach. Am J Clin Nutr. 2015;102:991–4.PubMedCrossRef Bland MJ, Altman DG. Best (but oft forgotten) practices: testing for treatment effects in randomized trials by separate analyses of changes from baseline in each group is a misleading approach. Am J Clin Nutr. 2015;102:991–4.PubMedCrossRef
33.
go back to reference Stratton IM, Neil Adler AA, Beil AW, et al. Association of glycaemia with macrovascular and microvasular complications of type 2 diabetes (UKPD 35): prospective observational study. BMJ. 2000;321:405–12.PubMedPubMedCentralCrossRef Stratton IM, Neil Adler AA, Beil AW, et al. Association of glycaemia with macrovascular and microvasular complications of type 2 diabetes (UKPD 35): prospective observational study. BMJ. 2000;321:405–12.PubMedPubMedCentralCrossRef
34.
go back to reference Odgers-Jewell K, Ball LE, Kelly JT, et al. Effectiveness of group-based self-management education for individuals with type 2 diabetes: a systematic review with meta-analyses and meta-regression. Diabet Med. 2017;34:1027–39.PubMedCrossRef Odgers-Jewell K, Ball LE, Kelly JT, et al. Effectiveness of group-based self-management education for individuals with type 2 diabetes: a systematic review with meta-analyses and meta-regression. Diabet Med. 2017;34:1027–39.PubMedCrossRef
35.
go back to reference Gummesson A, Nyman E, Knutsson M, et al. Effect of weight reduction on glycated haemoglobin in weight loss trials in patients with type 2 diabetes. Diabetes Obes Metab. 2017;19:1295–305.PubMedCrossRef Gummesson A, Nyman E, Knutsson M, et al. Effect of weight reduction on glycated haemoglobin in weight loss trials in patients with type 2 diabetes. Diabetes Obes Metab. 2017;19:1295–305.PubMedCrossRef
36.
go back to reference Frontoni S, Di Bartolo P, Avogaro A, et al. Glucose variability: an emerging target for the treatment of diabetes mellitus. Diabetes Res Clin Pract. 2013;102:86–95.PubMedCrossRef Frontoni S, Di Bartolo P, Avogaro A, et al. Glucose variability: an emerging target for the treatment of diabetes mellitus. Diabetes Res Clin Pract. 2013;102:86–95.PubMedCrossRef
37.
go back to reference Rodbard D. Glycemic variability: measurement and utility in clinical medicine and research—one viewpoint. Diabetes Technol Ther. 2011;11:1–4. Rodbard D. Glycemic variability: measurement and utility in clinical medicine and research—one viewpoint. Diabetes Technol Ther. 2011;11:1–4.
38.
go back to reference Cavalot F. Do data in the literature indicate that glycaemic variability is a clinical problem? Glycaemic variability and vascular complications of diabetes. Diabetes Obes Metab. 2013;15:3–8.PubMedCrossRef Cavalot F. Do data in the literature indicate that glycaemic variability is a clinical problem? Glycaemic variability and vascular complications of diabetes. Diabetes Obes Metab. 2013;15:3–8.PubMedCrossRef
39.
go back to reference Carlson AL, Mullen DM, Bergenstal RM. Clinical use of continuous glucose monitoring in adults with type 2 diabetes. Diabetes Technol Ther. 2017;19:S4–11.PubMedCrossRef Carlson AL, Mullen DM, Bergenstal RM. Clinical use of continuous glucose monitoring in adults with type 2 diabetes. Diabetes Technol Ther. 2017;19:S4–11.PubMedCrossRef
40.
42.
go back to reference Ismail-Beigi F, Moghissi E, Kosiborod M, et al. Shifting paradigms in the medical management of type 2 diabetes: reflections on recent cardiovascular outcome trials. J Gen Intern Med. 2017;32:1044–51.PubMedPubMedCentralCrossRef Ismail-Beigi F, Moghissi E, Kosiborod M, et al. Shifting paradigms in the medical management of type 2 diabetes: reflections on recent cardiovascular outcome trials. J Gen Intern Med. 2017;32:1044–51.PubMedPubMedCentralCrossRef
43.
go back to reference Lipska KJ, Yao X, Herrin J, et al. Trends in drug utilization, glycaemic control and rates of severe hypoglycemia 2006–2013. Diabetes Care. 2017;40(468–475):44. Lipska KJ, Yao X, Herrin J, et al. Trends in drug utilization, glycaemic control and rates of severe hypoglycemia 2006–2013. Diabetes Care. 2017;40(468–475):44.
44.
go back to reference Giorgino F, Bonadonna RC, Gentile S, et al. Treatment intensification in patients with inadequate glycemic control on basal insulin: rationale and clinical evidence for the use of short-acting and other glucagon-like peptide-1 receptor agonists. Diabetes Metab Res Rev. 2016;32:497–511.PubMedPubMedCentralCrossRef Giorgino F, Bonadonna RC, Gentile S, et al. Treatment intensification in patients with inadequate glycemic control on basal insulin: rationale and clinical evidence for the use of short-acting and other glucagon-like peptide-1 receptor agonists. Diabetes Metab Res Rev. 2016;32:497–511.PubMedPubMedCentralCrossRef
45.
go back to reference Chrvala CA, Sherr D, Lipman RD. Diabetes self-management education for adults with type 2 diabetes mellitus: a systematic review of the effect on glycemic control. Patient Educ Couns. 2016;99:926–43.PubMedCrossRef Chrvala CA, Sherr D, Lipman RD. Diabetes self-management education for adults with type 2 diabetes mellitus: a systematic review of the effect on glycemic control. Patient Educ Couns. 2016;99:926–43.PubMedCrossRef
46.
go back to reference Rodbard D. Continuous glucose monitoring: a review of recent studies demonstrating improved glycemic outcomes. Diabetes Technol Ther. 2017;19:25–37.CrossRef Rodbard D. Continuous glucose monitoring: a review of recent studies demonstrating improved glycemic outcomes. Diabetes Technol Ther. 2017;19:25–37.CrossRef
Metadata
Title
Efficacy of Real-Time Continuous Glucose Monitoring to Improve Effects of a Prescriptive Lifestyle Intervention in Type 2 Diabetes: A Pilot Study
Authors
Penelope J. Taylor
Campbell H. Thompson
Natalie D. Luscombe-Marsh
Thomas P. Wycherley
Gary Wittert
Grant D. Brinkworth
Publication date
01-04-2019
Publisher
Springer Healthcare
Keyword
Type 2 Diabetes
Published in
Diabetes Therapy / Issue 2/2019
Print ISSN: 1869-6953
Electronic ISSN: 1869-6961
DOI
https://doi.org/10.1007/s13300-019-0572-z

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