Effect of divergent continuous glucose monitoring technologies on glycaemic control in type 1 diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials.

AIMS: We aimed to conduct a systematic review and meta-analysis of randomised controlled clinical trials (RCTs) assessing separately and together the effect of the three distinct categories of continuous glucose monitoring (CGM) systems (adjunctive, non-adjunctive and intermittently-scanned CGM [isCGM]), compared with traditional capillary glucose monitoring, on HbA1c and CGM metrics. METHODS: PubMed, Web of Science, Scopus and Cochrane Central register of clinical trials were searched. Inclusion criteria were as follows: randomised controlled trials; participants with type 1 diabetes of any age and insulin regimen; investigating CGM and isCGM compared with traditional capillary glucose monitoring; and reporting glycaemic outcomes of HbA1c and/or time-in-range (TIR). Glycaemic outcomes were extracted post-intervention and expressed as mean differences and 95%CIs between treatment and comparator groups. Results were pooled using a random-effects meta-analysis. Risk of bias was assessed using the Cochrane Rob2 tool. RESULTS: This systematic review was conducted between January and April 2021; it included 22 RCTs (15 adjunctive, 5 non-adjunctive, and 2 isCGM)). The overall analysis of the pooled three categories showed a statistically significant absolute improvement in HbA1c percentage points (mean difference (95% CI): -0.22% [-0.31 to -0.14], I2  = 79%) for intervention compared with comparator and was strongest for adjunctive CGM (-0.26% [-0.36, -0.16]). Overall TIR (absolute change) increased by 5.4% (3.5 to 7.2), I2  = 71% for CGM intervention compared with comparator and was strongest with non-adjunctive CGM (6.0% [2.3, 9.7]). CONCLUSIONS: For individuals with T1D, use of CGM was beneficial for impacting glycaemic outcomes including HbA1c, TIR and time-below-range (TBR). Glycaemic improvement appeared greater for TIR for newer non-adjunctive CGM technology.

The effect of do-it-yourself real-time continuous glucose monitoring on psychological and glycemic variables in children with type 1 diabetes: A randomized crossover trial.

BACKGROUND: Continuous glucose monitoring (CGM) decreases fear of hypoglycemia (FOH) and improves glycemic control among those affected by type 1 diabetes (T1D). No studies to date have examined the impact of using do-it-yourself real-time continuous glucose monitoring (DIY RT-CGM) on psychological and glycemic outcomes. METHODS: Child-parent dyads were recruited for a multicentre randomized crossover trial. Children with T1D were current intermittently scanned CGM (isCGM) users and aged 2-13 years. Families received either 6 weeks of DIY RT-CGM with parental remote monitoring (intervention) or 6 weeks of isCGM plus usual diabetes care (control), followed by a 4-week washout period, then crossed over. The primary outcome was parental FOH. Secondary outcomes were glycemic control using traditional CGM metrics, as well as a range of other psychosocial measures. FINDINGS: Fifty five child-parent dyads were recruited. The child mean age was 9.1 ± 2.8 years. Although, there was no effect on parental FOH, -0.1 (95%CI: -0.3, 0.1, p = 0.4), time-in-range (TIR) (%3.9-10 mmol/L) was significantly higher with DIY RT-CGM over isCGM (54.3% ± 13.7 vs. 48.1% ± 13.6), mean difference, 5.7% (95%CI 1.8, 9.6, p <0.004). There was no difference for time spent in hypoglycemia. Parent diabetes treatment satisfaction was significantly higher following DIY RT-CGM compared to isCGM, mean difference 5.3 (95%CI: 2.3, 8.2, p <0.001). CONCLUSION: The use of DIY RT-CGM versus isCGM did not improve parental FOH; however, TIR and parental satisfaction with diabetes treatment were significantly improved. This suggests in the short term, DIY RT-CGM appears safe and may offer families some clinically important advantages over isCGM.

Gelatinisation and milling whole-wheat increases postprandial blood glucose: randomised crossover study of adults with type 2 diabetes.

AIMS/HYPOTHESES: We examined the effects of milling and cooking whole grains in water to achieve starch gelatinisation on postprandial blood glucose using a randomised crossover open-label design. Participants were adults with type 2 diabetes whose body weight or medications had not changed in at least 3 months. METHODS: Postprandial blood glucose (measured as incremental AUC [iAUC]) was measured following consumption of four nutrient-matched whole-wheat porridge test-meals. Test-meals included gelatinised or native starch and were made with either finely milled or intact whole-wheat. RESULTS: Eighteen adults (63.1 ± 9.8 years, HbA1c 57.0 ± 11.5 mmol/mol [7.4 ± 3.2%]) completed the study. iAUC was higher following cooked meals (gelatinised starch) than following uncooked meals (native starch) (mean difference [MD] 268, 95% CI 188, 348 mmol/l × min). Consuming finely milled whole-wheat produced a higher iAUC compared with intact whole-wheat (MD 173, 95% CI 80, 266 mmol/l × min). There was no evidence of an interaction effect (p = 0.841). CONCLUSIONS: Both the nature of starch and the grain structure of whole-wheat influence the glycaemic response of adults with type 2 diabetes mellitus. FUNDING: Baking Industry Research Trust of New Zealand and the Riddet Centre of Research Excellence. TRIAL REGISTRATION: www.anzctr.org.au ACTRN12617000328370.

The Effect of Do-It-Yourself Real-Time Continuous Glucose Monitoring on Glycemic Variables and Participant-Reported Outcomes in Adults With Type 1 Diabetes: A Randomized Crossover Trial.

AIM: Real-time continuous glucose monitoring (rtCGM) has several advantages over intermittently scanned continuous glucose monitoring (isCGM) but generally comes at a higher cost. Do-it-yourself rtCGM (DIY-rtCGM) potentially has benefits similar to those of rtCGM. This study compared outcomes in adults with type 1 diabetes using DIY-rtCGM versus isCGM. METHODS: In this crossover trial, adults with type 1 diabetes were randomized to use isCGM or DIY-rtCGM for eight weeks before crossover to use the other device for eight weeks, after a four-week washout period where participants reverted back to isCGM. The primary endpoint was time in range (TIR; 3.9-10 mmol/L). Secondary endpoints included other glycemic control measures, psychosocial outcomes, and sleep quality. RESULTS: Sixty participants were recruited, and 52 (87%) completed follow-up. Glucose outcomes were similar in the DIY-rtCGM and isCGM groups, including TIR (53.1% vs 51.3%; mean difference -1.7% P = .593), glycosylated hemoglobin (57.0 ± 17.8 vs 61.4 ± 12.2 mmol/L; P = .593), and time in hypoglycemia <3.9 mmol/L (3.9 ± 3.8% vs 3.8 ± 4.0%; P = .947). Hypoglycemia Fear Survey total score (1.17 ± 0.52 vs 0.97 ± 0.54; P = .02) and fear of hypoglycemia score (1.18 ± 0.64 vs 0.97 ± 0.45; P = .02) were significantly higher during DIY-rtCGM versus isCGM. Diabetes Treatment Satisfaction Questionnaire status (DTSQS) score was also higher with DIY-rtCGM versus isCGM (28.7 ± 5.8 vs 26.0 ± 5.8; P = .04), whereas diabetes-related quality of life was slightly lower (DAWN2 Impact of Diabetes score: 3.11 ± 0.4 vs 3.32 ± 0.51; P = .045); sleep quality did not differ between the two groups. CONCLUSION: Although the use of DIY-rtCGM did not improve glycemic outcomes compared with isCGM, it positively impacted several patient-reported psychosocial variables. DIY-rtCGM potentially provides an alternative, cost-effective rtCGM option.

Study protocol: Safety and efficacy of smart watch integrated do-it-yourself continuous glucose monitoring in adults with Type 1 diabetes, a randomised controlled trial.

PURPOSE: Type 1 diabetes (T1D) management requires regular monitoring of glucose levels and judicious therapeutic administration of insulin to prevent both microvascular and macrovascular complications. Few people with diabetes are able to sustain the self-monitored blood glucose measurements needed for optimal care, and those that do, typically experience significant diabetes-related distress. Both intermittently scanned continuous glucose monitoring (isCGM) and continuous glucose monitoring (CGM) offer alternatives to reduce the overall burden, but both still have limitations. Given the expense of CGM, smart watch integrated do-it-yourself (DIY)-CGM has been developed as an alternative to commercial isCGM and CGM technologies. This study has been designed to evaluate the clinical efficacy of smart watch integrated DIY-CGM compared with isCGM in adults with T1D. METHODS: This multicentre, randomised, crossover study will be conducted in New Zealand and aims to recruit 60 adults with established T1D who currently use isCGM. DIY-CGM will be compared to usual care with isCGM. Participants will be randomised to either arm of the study for 8 weeks followed by a 4-week washout period before crossing over to the other study arm for a further 8 weeks. The primary endpoint is glucose time in range (TIR) defined as percentage of time interstitial glucose is spent between 3.9 to 10 mmol/L for the entire intervention period. Secondary endpoints include diabetes-related quality of life, distress, and sleep quality in participants and their partners. DISCUSSION: The results of this study will provide clinical trial data regarding smart watch integrated DIY-CGM versus isCGM for improving glycaemic control in adults with T1D, and also report a variety of key secondary outcomes, including changes in subjective outcome measures for both people with diabetes and their partners. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ACTRN12621000648820,31 May 2021); World Health Organisation International Clinical Trial Registry Platform (U1111-1262-2784, 3rd December 2020).

Exploring Parental Experiences of Using a Do-It-Yourself Solution for Continuous Glucose Monitoring Among Children and Adolescents With Type 1 Diabetes: A Qualitative Study.

BACKGROUND: MiaoMiao (MM) is a Bluetooth transmitter, which when paired with a smart phone/device, converts the Abbott FreeStyle Libre flash glucose monitoring system into a Do-It-Yourself (DIY) continuous glucose monitor (CGM). Families are increasingly adopting DIY CGM solutions, but little is known about parent and child experiences with these add-on technologies. We aimed to explore experiences of families using MM-CGM including challenges faced and their advice to others who may choose to use the technology. METHODS: Between May and July 2019, we conducted 12 semistructured interviews (in person or via video conference) with parents of children (aged ≤16 years) with type 1 diabetes using MM-CGM. Interviews were audio recorded; professionally transcribed and key themes were identified through thematic analysis. RESULTS: Overall, parents used MM-CGM to proactively manage their child's blood glucose. In all participants, this led to a perceived decrease in frequency of hypoglycemia. Participants reported that the visibility and easy access to blood glucose readings, glucose trends, and customized alarms on parent's phones decreased their disease burden and improved their sleep quality. Common barriers to using MM-CGM included difficulty of the setting up process, connectivity issues, and lack of support from medical teams. CONCLUSION: This study highlights the potential feasibility of using a DIY CGM system like MM-CGM, which could be an empowering and cost-effective tool for enabling remote monitoring of blood glucose in real time.

The MiaoMiao study: can do-it-yourself continuous glucose monitoring technology improve fear of hypoglycaemia in parents of children affected by type 1 diabetes?

PURPOSE: Type 1 diabetes (T1D) is one of the most common chronic diseases of childhood and comes with considerable management and psychological burden for children and their families. Fear of hypoglycaemia (FOH), particularly nocturnal hypoglycaemia, is a common worry. Continuous glucose monitoring (CGM) is a tool that may help reduce FOH, as well as reduce overall diabetes burden. However, CGM systems are expensive and often not publicly funded or subsidised. MiaoMiao (MM) is a novel relatively affordable third-party add-on technology to intermittently scanned CGM (isCGM). MM allows users to convert their isCGM to a form of "Do-it-yourself" (DIY)-CGM. Our hypothesis is that MM-CGM will result in significant reduction in parental fear from hypoglycaemia. The primary objective is to determine the impact of real-time DIY-CGM on parental fear of hypoglycaemia using Hypoglycaemia Fear Survey (HFS). METHODS: This is a multisite randomised cross-over study of 55 New Zealand children (ages 2-13 years) with established T1D and current users of isCGM (Abbott FreeStyle Libre). DIY-CGM will be compared to usual care with isCGM. Participants will be randomised to either arm of the study for 6 weeks followed by a 4-week wash-out period before crossing over to the other study arm for a further 6 weeks. DISCUSSION: The results of this study will provide much needed clinical trial data regarding DIY-CGM effectiveness in reducing parental FOH, as measured by HFS, as well as various other secondary outcomes including traditional glycaemic metrics, and child and caregiver sleep. The trial was registered with the Australian New Zealand Clinical Trials Registry (ACTRN 12619001551189) on 18 November 2019, and the World Health Organisation International Clinical Trial Registry Platform (Universal Trial Number U1111-1236-9189).

Wholegrain Particle Size Influences Postprandial Glycemia in Type 2 Diabetes: A Randomized Crossover Study Comparing Four Wholegrain Breads.

OBJECTIVE: Wholegrain foods vary in the extent of processing. We investigated whether wholegrain particle size in bread influences postprandial glycemia in type 2 diabetes. RESEARCH DESIGN AND METHODS: Postprandial glycemia (incremental area under the blood glucose curve [iAUC]) was measured after consumption of three breads made with roller-milled wholegrain flour and added grains and a fourth made with stone-ground flour. All flours and grains were 100% wholegrain wheat. Breads were nutrient matched. RESULTS: Fifteen adults (64 ± 10 years, HbA1c 58 ± 13 mmol/mol) completed the study. iAUC for the three breads made with roller-milled flour ranged from 376 to 641 mmol-1min-1, inverse linear trend for grain particle size P = 0.039. The iAUC for stone-ground wholegrain bread (503) was smaller than predicted from mean particle size. CONCLUSIONS: Wholegrain structural integrity in bread is a determinant of glycemic response. These findings have implications for dietary advice and the definition of the term "'wholegrain."

The 'flash' adhesive study: a randomized crossover trial using an additional adhesive patch to prolong freestyle libre sensor life among youth with type 1 diabetes mellitus.

AIMS: Although strategies to prevent premature sensor loss for flash glucose monitoring (FGM) systems may have substantial benefit, limited data are available. This study among youth with high-risk type 1 diabetes evaluated whether an additional adhesive patch over FGM sensors would reduce premature sensor loss frequency and not cause additional cutaneous adverse events (AEs). METHODS: This is a six-month, open-label, randomized crossover trial. Participants were recruited at completion of prior 'Managing Diabetes in a Flash' randomized controlled trial and allocated to three months of Freestyle Libre FGM sensors with either standard adhesive (control) or additional adhesive patches (RockaDex, New Zealand) (intervention), before crossing over to the opposite study arm. Participants self-reported patch use or non-use, premature sensor loss and cutaneous AEs fortnightly via an electronic questionnaire. RESULTS: Thirty-four participants were enrolled: mean age (± SD) 17.0 (± 2.2) years; mean HbA1c (± SD) 89 (± 16) mmol/mol (10.3% ± 1.4%). The response rate of questionnaires was 77% (314/408). Premature sensor loss was reported in 18% (58/314) of questionnaires: 20% (32/162) from intervention and 17% (26/152) from control (p = 0.56). Thirty-eight percent (118/314) of questionnaires were non-compliant to protocol allocation. However, per-protocol analysis showed similar findings. No significant difference in AEs was reported between compliant adhesive patch use and non-use (6% [5/78] and 3% [3/118], respectively, p = 0.27). CONCLUSIONS: The adhesive patch investigated in this study does not appear to prevent premature FGM sensor loss. However, the low risk of AEs and low cost of an adhesive patch suggest an individualized approach to their use may still be warranted. Further research is needed to explore alternative strategies to prevent sensor loss.