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      Effect of 6 months’ flash glucose monitoring in adolescents and young adults with type 1 diabetes and suboptimal glycaemic control: managing diabetes in a ‘flash’ randomised controlled trial protocol

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          Abstract

          Background

          Teenagers and young adults with type 1 diabetes (T1D) experience significant burden managing this serious chronic condition and glycaemic control is at its unhealthiest during this life stage. Flash glucose monitoring (FGM) is a new technology that reduces the burden of glucose monitoring by easily and discreetly displaying glucose information when an interstitial glucose sensor worn on the upper arm is scanned with a handheld reader, as opposed to traditional capillary glucose sampling by finger prick (otherwise known as self-monitored blood glucose, SMBG). The effectiveness of this technology and impacts of its long-term use in youth with pre-existing suboptimal glycaemic control are unknown. This study therefore aims to investigate the effectiveness of FGM in addition to standard care in young people with T1D.

          Methods

          This is a two phase study programme including a multi-centre randomised, parallel-group study consisting of a 6-month comparison between SMBG and FGM, with an additional 6-month continuation phase. We will enrol adolescents with T1D aged 13–20 years (inclusive), with suboptimal glycaemic control (mean glycated haemoglobin (HbA1c) in past 6 months ≥75 mmol/mol [≥9%]). Participants will be randomly allocated (1:1) to FGM (FreeStyle Libre; intervention group) or to continue SMBG with capillary blood glucose testing (usual care group). All participants will continue other aspects of standard care with the study only providing the FreeStyle Libre. At 6 months, the control group will cross over to the intervention. The primary outcome is the between group difference in changes in HbA1c at 6 months. Additional outcomes include a range of psychosocial and health economic measures as well as FGM acceptability.

          Discussion

          >If improvements are found, this will further encourage steps towards integrating FGM into regular diabetes care for youth with unhealthy glycaemic control, with the expectation it will reduce daily diabetes management burden and improve short- and long-term health outcomes in this high-risk group.

          Trial registration

          This trial was registered with the Australian New Zealand Clinical Trials Registry on 5 March 2018 ( ACTRN12618000320257p) and the World Health Organization International Clinical Trials Registry Platform (Universal Trial Number U1111-1205-5784).

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          Most cited references34

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          Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry.

          To examine the overall state of metabolic control and current use of advanced diabetes technologies in the U.S., we report recent data collected on individuals with type 1 diabetes participating in the T1D Exchange clinic registry. Data from 16,061 participants updated between 1 September 2013 and 1 December 2014 were compared with registry enrollment data collected from 1 September 2010 to 1 August 2012. Mean hemoglobin A1c (HbA1c) was assessed by year of age from 75 years. The overall average HbA1c was 8.2% (66 mmol/mol) at enrollment and 8.4% (68 mmol/mol) at the most recent update. During childhood, mean HbA1c decreased from 8.3% (67 mmol/mol) in 2-4-year-olds to 8.1% (65 mmol/mol) at 7 years of age, followed by an increase to 9.2% (77 mmol/mol) in 19-year-olds. Subsequently, mean HbA1c values decline gradually until ∼30 years of age, plateauing at 7.5-7.8% (58-62 mmol/mol) beyond age 30 until a modest drop in HbA1c below 7.5% (58 mmol/mol) in those 65 years of age. Severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) remain all too common complications of treatment, especially in older (SH) and younger patients (DKA). Insulin pump use increased slightly from enrollment (58-62%), and use of continuous glucose monitoring (CGM) did not change (7%). Although the T1D Exchange registry findings are not population based and could be biased, it is clear that there remains considerable room for improving outcomes of treatment of type 1 diabetes across all age-groups. Barriers to more effective use of current treatments need to be addressed and new therapies are needed to achieve optimal metabolic control in people with type 1 diabetes.
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            Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version.

            To present a clinical version of the 2000 Centers for Disease Control and Prevention (CDC) growth charts and to compare them with the previous version, the 1977 National Center for Health Statistics (NCHS) growth charts. The 2000 CDC percentile curves were developed in 2 stages. In the first stage, the empirical percentiles were smoothed by a variety of parametric and nonparametric procedures. To obtain corresponding percentiles and z scores, we approximated the smoothed percentiles using a modified LMS estimation procedure in the second stage. The charts include of a set of curves for infants, birth to 36 months of age, and a set for children and adolescents, 2 to 20 years of age. The charts represent a cross-section of children who live in the United States; breastfed infants are represented on the basis of their distribution in the US population. The 2000 CDC growth charts more closely match the national distribution of birth weights than did the 1977 NCHS growth charts, and the disjunction between weight-for-length and weight-for-stature or length-for-age and stature-for-age found in the 1977 charts has been corrected. Moreover, the 2000 CDC growth charts can be used to obtain both percentiles and z scores. Finally, body mass index-for-age charts are available for children and adolescents 2 to 20 years of age. The 2000 CDC growth charts are recommended for use in the United States. Pediatric clinics should make the transition from the 1977 NCHS to the 2000 CDC charts for routine monitoring of growth in infants, children, and adolescents.
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              The PedsQL in type 1 and type 2 diabetes: reliability and validity of the Pediatric Quality of Life Inventory Generic Core Scales and type 1 Diabetes Module.

              The Pediatric Quality of Life Inventory (PedsQL) is a modular instrument designed to measure health-related quality of life (HRQOL) in children and adolescents aged 2-18 years. The PedsQL 4.0 Generic Core Scales are child self-report and parent proxy-report scales developed as the generic core measure to be integrated with the PedsQL disease-specific modules. The PedsQL 3.0 Type 1 Diabetes Module was designed to measure diabetes-specific HRQOL. The PedsQL Generic Core Scales and Diabetes Module were administered to 300 pediatric patients with type 1 or type 2 diabetes and 308 parents. Internal consistency reliability for the PedsQL Generic Core Total Scale score (alpha = 0.88 child, 0.89 parent-report) and most Diabetes Module scales (average alpha = 0.71 child, 0.77 parent-report) was acceptable for group comparisons. The PedsQL 4.0 distinguished between healthy children and children with diabetes. The Diabetes Module demonstrated intercorrelations with dimensions of generic and diabetes-specific HRQOL. The results demonstrate the reliability and validity of the PedsQL in diabetes. The PedsQL may be used as an outcome measure for diabetes clinical trials and research.
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                Author and article information

                Contributors
                sara.boucher@otago.ac.nz
                andrew.gray@otago.ac.nz
                martin.debock@otago.ac.nz
                esko.wiltshire@otago.ac.nz
                barbara.galland@otago.ac.nz
                paul.tomlinson@sdhb.govt.nz
                jenny.rayns@sdhb.govt.nz
                karen.mackenzie@cdhb.health.nz
                ben.wheeler@otago.ac.nz
                Journal
                BMC Endocr Disord
                BMC Endocr Disord
                BMC Endocrine Disorders
                BioMed Central (London )
                1472-6823
                20 May 2019
                20 May 2019
                2019
                : 19
                : 50
                Affiliations
                [1 ]ISNI 0000 0004 1936 7830, GRID grid.29980.3a, Department of Women’s and Children’s Health, Dunedin School of Medicine, , University of Otago, ; Dunedin, New Zealand
                [2 ]ISNI 0000 0004 1936 7830, GRID grid.29980.3a, Centre for Biostatistics, Division of Health Sciences, , University of Otago, ; Dunedin, New Zealand
                [3 ]ISNI 0000 0004 1936 7830, GRID grid.29980.3a, Department of Paediatrics, , University of Otago, ; Christchurch, New Zealand
                [4 ]ISNI 0000 0001 0040 0934, GRID grid.410864.f, Paediatric Department, , Canterbury District Health Board, ; Christchurch, New Zealand
                [5 ]ISNI 0000 0004 1936 7830, GRID grid.29980.3a, Department of Paediatrics and Child Health, , University of Otago Wellington, ; Wellington, New Zealand
                [6 ]ISNI 0000 0001 0244 0702, GRID grid.413379.b, Paediatric Department, , Capital and Coast District Health Board, ; Wellington, New Zealand
                [7 ]Paediatric Department, Southern District Health Board, Invercargill, New Zealand
                [8 ]Endocrinology Department, Southern District Health Board, Dunedin, New Zealand
                [9 ]Paediatric Department, Southern District Health Board, Dunedin, New Zealand
                Author information
                http://orcid.org/0000-0003-3348-5238
                Article
                378
                10.1186/s12902-019-0378-z
                6528266
                31109342
                b46800c7-7aae-4159-8865-be0c950a15fe
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 25 April 2019
                : 9 May 2019
                Funding
                Funded by: Cure Kids
                Award ID: 3582
                Award Recipient :
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2019

                Endocrinology & Diabetes
                adolescents,flash glucose monitoring,freestyle libre,glucose monitoring,glycaemic control,intermittent continuous glucose monitoring,self-monitoring of blood glucose,type 1 diabetes,young adults

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