1
|
Toschi E, O’Neal D, Munshi M, Jenkins A. Glucose Targets Using Continuous Glucose Monitoring Metrics in Older Adults With Diabetes: Are We There Yet? J Diabetes Sci Technol 2024; 18:808-818. [PMID: 38715259 PMCID: PMC11307211 DOI: 10.1177/19322968241247568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
The older population is increasing worldwide and up to 30% of older adults have diabetes. Older adults with diabetes are at risk of glucose-related acute and chronic complications. Recently, mostly in type 1 diabetes (T1D), continuous glucose monitoring (CGM) devices have proven beneficial in improving time in range (TIR glucose, 70-180 mg/dL or glucose 3.9-10 mmol/L), glycated hemoglobin (HbA1c), and in lowering hypoglycemia (time below range [TBR] glucose <70 mg/dL or glucose <3.9 mmol/L). The international consensus group formulated CGM glycemic targets relating to older adults with diabetes based on very limited data. Their recommendations, based on expert opinion, were aimed at mitigating hypoglycemia in all older adults. However, older adults with diabetes are a heterogeneous group, ranging from healthy to very complex frail individuals based on chronological, biological, and functional aging. Recent clinical trial and real-world data, mostly from healthy older adults with T1D, demonstrated that older adults often achieve CGM targets, including TIR recommended for non-vulnerable groups, but less often meet the recommended TBR <1%. Existing data also support that hypoglycemia avoidance may be more strongly related to minimization of glucose variability (coefficient of variation [CV]) rather than lower TIR. Very limited data are available for glucose goals in older adults adjusted for the complexity of their health status. Herein, we review the bidirectional associations between glucose and health status in older adults with diabetes; use of diabetes technologies, and their impact on glucose control; discuss current guidelines; and propose a new set of CGM targets for older adults with insulin-treated diabetes that are individualized for health and living status.
Collapse
Affiliation(s)
- Elena Toschi
- Joslin Diabetes Center, Harvard Medical
School, Boston, MA, USA
| | - David O’Neal
- Department of Medicine, St Vincent’s
Hospital, The University of Melbourne, Melbourne, VIC, Australia
- Department of Diabetes and
Endocrinology, St Vincent’s Hospital, Melbourne, VIC, Australia
- Australian Centre for Accelerating
Diabetes Innovations, The University of Melbourne, Melbourne, VIC, Australia
| | - Medha Munshi
- Joslin Diabetes Center, Harvard Medical
School, Boston, MA, USA
| | - Alicia Jenkins
- Department of Medicine, St Vincent’s
Hospital, The University of Melbourne, Melbourne, VIC, Australia
- Department of Diabetes and
Endocrinology, St Vincent’s Hospital, Melbourne, VIC, Australia
- Australian Centre for Accelerating
Diabetes Innovations, The University of Melbourne, Melbourne, VIC, Australia
- Baker Heart & Diabetes Institute,
Melbourne, VIC, Australia
- Faculty of Medicine, Monash University,
Melbourne, VIC, Australia
| |
Collapse
|
2
|
Perkins A, Hinds PS, Grundman JB, Meighan S, Monaghan M, Streisand R, Marks BE. Improving equity in diabetes technology use: Voices of youth and their parents. Diabet Med 2024:e15382. [PMID: 38887129 DOI: 10.1111/dme.15382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 05/28/2024] [Accepted: 06/04/2024] [Indexed: 06/20/2024]
Abstract
AIMS There are marked inequities in clinical outcomes and rates of diabetes technology use among youth with type 1 diabetes (T1D). The quantitative data from our mixed methods cohort study identified significant improvements in glycaemia and quality of life in participants. We aimed to use qualitative methods to provide further insight into our quantitative findings in the setting of underlying health disparities. METHODS Fifteen publicly insured, insulin pump-naïve non-Hispanic Black youth aged 6-21 years with T1D and baseline haemoglobin A1c (HbA1c) ≥86 mmol/mol (10%) and their parents participated in a mixed methods cohort study. Semi-structured interviews were conducted separately with parents and youth after completion of 6 months of HCL use. Three topic areas were explored: (1) Experience using HCL, (2) barriers to HCL and (3) facilitators to accessing HCL. Semantic content analysis and consensus coding involving two team members were used to generate themes. Thematic saturation was achieved. RESULTS Youth (Medianage 14.9 years, 67% female) and parents (92% female) were interviewed. Youth and their parents reported that access to HCL provides a new outlook on living with T1D, although managing T1D is still hard. They felt that diabetes technology is most helpful for those struggling with management. Participants experienced barriers to access including misconceptions of HCL systems, clinician bias and systemic racism. They suggested these barriers can be overcome by offering diabetes technology education for all people with T1D, increasing awareness of HCL in the community and providing resources to overcome barriers created by social determinants of health. CONCLUSIONS The voices of historically minoritised youth with suboptimal T1D control and their parents provide important, previously unreported experiences and perspectives on barriers and facilitators to using HCL that will shape interventions to improve equity in access to diabetes technology.
Collapse
Affiliation(s)
- Amanda Perkins
- Children's National Hospital, Endocrinology and Diabetes, Washington, DC, USA
| | - Pamela S Hinds
- Children's National Hospital, Department of Nursing Science, Professional Practice & Quality, Washington, DC, USA
- Department of Pediatrics, The School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
| | - Jody B Grundman
- Children's National Hospital, Endocrinology and Diabetes, Washington, DC, USA
- Department of Pediatrics, The School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
| | - Seema Meighan
- Children's Hospital of Philadelphia, Endocrinology & Diabetes, Philadelphia, Pennsylvania, USA
| | - Maureen Monaghan
- Children's National Hospital, Endocrinology and Diabetes, Washington, DC, USA
| | - Randi Streisand
- Department of Pediatrics, The School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
- Children's National Hospital, Center for Translational Research, Washington, DC, USA
| | - Brynn E Marks
- Children's Hospital of Philadelphia, Endocrinology & Diabetes, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| |
Collapse
|
3
|
Bahillo-Curieses P, Fernández Velasco P, Pérez-López P, Vidueira Martínez AM, Nieto de la Marca MDLO, Díaz-Soto G. Utility of time in tight range (TITR) in evaluating metabolic control in pediatric and adult patients with type 1 diabetes in treatment with advanced hybrid closed-loop systems. Endocrine 2024:10.1007/s12020-024-03881-6. [PMID: 38814372 DOI: 10.1007/s12020-024-03881-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 05/16/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE To analyze the time in tight range (TITR), and its relationship with other glucometric parameters in patients with type 1 diabetes (T1D) treated with advanced hybrid closed-loop (AHCL) systems. METHODS A prospective observational study was conducted on pediatric and adult patients with T1D undergoing treatment with AHCL systems for at least 3 months. Clinical variables and glucometric parameters before and after AHCL initiation were collected. RESULTS A total of 117 patients were evaluated. Comparison of metabolic control after AHCL initiation showed significant improvements in HbA1c (6.9 ± 0.9 vs. 6.6 ± 0.5%, p < 0.001), time in range (TIR) (68.2 ± 11.5 vs. 82.5 ± 6.9%, p < 0.001), TITR (43.7 ± 10.8 vs. 57.3 ± 9.7%, p < 0.001), glucose management indicator (GMI) (6.9 ± 0.4 vs. 6.6 ± 0.3%, p < 0.001), time below range (TBR) 70-54 mg/dl (4.3 ± 4.5 vs. 2.0 ± 1.4%, p < 0.001), and time above range (TAR) > 180 mg/dl (36.0 ± 7.6 vs. 15.1 ± 6.4%, p < 0.001). Coefficient of variation (CV) also improved (36.3 ± 5.7 vs. 30.6 ± 3.7, p < 0.001), while time between 140-180 mg/dl remained unchanged. In total, 76.3% achieved TITR > 50% (100% pediatric). Correlation analysis between TITR and TIR and GRI showed a strong positive correlation, modified by glycemic variability. CONCLUSIONS AHCL systems achieve significant improvements in metabolic control (TIR > 70% in 93.9% patients). The increase in TIR was not related to an increase in TIR 140-180 mg/dl. Despite being closely related to TIR, TITR allows for a more adequate discrimination of the achieved control level, especially in a population with good initial metabolic control. The correlation between TIR and TITR is directly influenced by the degree of glycemic variability.
Collapse
Affiliation(s)
- Pilar Bahillo-Curieses
- Department of Pediatrics, Pediatric Endocrinology, Hospital Clínico Universitario Valladolid, Ramón y Cajal Avenue, Number 3, 47005, Valladolid, Spain.
| | - Pablo Fernández Velasco
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario Valladolid, Ramón y Cajal Avenue, Number 3, 47005, Valladolid, Spain
| | - Paloma Pérez-López
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario Valladolid, Ramón y Cajal Avenue, Number 3, 47005, Valladolid, Spain
| | - Ana María Vidueira Martínez
- Department of Pediatrics, Pediatric Endocrinology, Hospital Clínico Universitario Valladolid, Ramón y Cajal Avenue, Number 3, 47005, Valladolid, Spain
| | - María de la O Nieto de la Marca
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario Valladolid, Ramón y Cajal Avenue, Number 3, 47005, Valladolid, Spain
| | - Gonzalo Díaz-Soto
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario Valladolid, Ramón y Cajal Avenue, Number 3, 47005, Valladolid, Spain
| |
Collapse
|
4
|
Pemberton J, Collins L, Drummond L, Dias RP, Krone R, Kershaw M, Uday S. Enhancing equity in access to automated insulin delivery systems in an ethnically and socioeconomically diverse group of children with type 1 diabetes. BMJ Open Diabetes Res Care 2024; 12:e004045. [PMID: 38749509 PMCID: PMC11097826 DOI: 10.1136/bmjdrc-2024-004045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 03/20/2024] [Indexed: 05/18/2024] Open
Abstract
INTRODUCTION Manufacturer-supported didactic teaching programmes offer effective automated insulin delivery (AID) systems onboarding in children and young people (CYP) with type 1 diabetes (T1D). However, this approach has limited flexibility to accommodate the needs of families requiring additional support. RESEARCH DESIGN AND METHODS Evaluate the efficacy of an inperson manufacturer-supported didactic teaching programme (Group A), in comparison to a flexible flipped learning approach delivered virtually or inperson (Group B). Retrospective analysis of CYP with T1D using continuous glucose monitoring (CGM), who were initiated on AID systems between 2021 and 2023. Compare CGM metrics from baseline to 90 days for both groups A and B. Additionally, compare the two groups for change in CGM metrics over the 90-day period (∆), patient demographics and onboarding time. RESULTS Group A consisted of 74 CYP (53% male) with median age of 13.9 years and Group B 91 CYP (54% male) with median age of 12.7 years. From baseline to 90 days, Group A lowered mean (±SD) time above range (TAR, >10.0 mmol/L) from 47.6% (±15.0) to 33.2% (±15.0) (p<0.001), increased time in range (TIR, 3.9-10.0 mmol/L) from 50.4% (±14.0) to 64.7% (±10.2) (p<0.001). From baseline to 90 days, Group B lowered TAR from 51.3% (±15.1) to 34.5% (±11.3) (p<0.001) and increased TIR from 46.5% (±14.5) to 63.7% (±11.0) (p<0.001). There was no difference from baseline to 90 days for time below range (TBR, <3.9 mmol/L) for Group A and Group B. ∆ TAR, TIR and TBR for both groups were comparable. Group B consisted of CYP with higher socioeconomic deprivation, greater ethnic diversity and lower carer education achievement (p<0.05). The majority of Group B (n=79, 87%) chose virtual flipped learning, halving diabetes educator time and increasing onboarding cadence by fivefold. CONCLUSIONS A flexible virtual flipped learning programme increases onboarding cadence and capacity to offer equitable AID system onboarding.
Collapse
Affiliation(s)
- John Pemberton
- Department of Endocrinology and Diabetes, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Louise Collins
- Department of Endocrinology and Diabetes, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Lesley Drummond
- Department of Endocrinology and Diabetes, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Renuka P Dias
- Department of Endocrinology and Diabetes, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
- University of Birmingham Institute of Cancer and Genomic Sciences, Birmingham, UK
| | - Ruth Krone
- Department of Endocrinology and Diabetes, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Melanie Kershaw
- Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Suma Uday
- Department of Endocrinology and Diabetes, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
- University of Birmingham Institute of Metabolism and Systems Research, Birmingham, UK
| |
Collapse
|
5
|
Boughton CK, Hovorka R. The role of automated insulin delivery technology in diabetes. Diabetologia 2024:10.1007/s00125-024-06165-w. [PMID: 38740602 DOI: 10.1007/s00125-024-06165-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 03/21/2024] [Indexed: 05/16/2024]
Abstract
The role of automated insulin delivery systems in diabetes is expanding. Hybrid closed-loop systems are being used in routine clinical practice for treating people with type 1 diabetes. Encouragingly, real-world data reflects the performance and usability observed in clinical trials. We review the commercially available hybrid closed-loop systems, their distinctive features and the associated real-world data. We also consider emerging indications for closed-loop systems, including the treatment of type 2 diabetes where variability of day-to-day insulin requirements is high, and other challenging applications for this technology. We discuss issues around access and implementation of closed-loop technology, and consider the limitations of present closed-loop systems, as well as innovative approaches that are being evaluated to improve their performance.
Collapse
Affiliation(s)
- Charlotte K Boughton
- Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
| | - Roman Hovorka
- Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| |
Collapse
|
6
|
Castañeda J, Arrieta A, van den Heuvel T, Battelino T, Cohen O. Time in Tight Glucose Range in Type 1 Diabetes: Predictive Factors and Achievable Targets in Real-World Users of the MiniMed 780G System. Diabetes Care 2024; 47:790-797. [PMID: 38113453 PMCID: PMC11043222 DOI: 10.2337/dc23-1581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/13/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVE We studied time in tight range (TITR) (70-140 mg/dL) in real-world users of the MiniMed 780G system (MM780G). RESEARCH DESIGN AND METHODS CareLink Personal data were extracted (August 2020 to December 2022) to examine TITR and its relationship with time in range (TIR; 70-180 mg/dL), factors predicting higher TITR, and which TITR target is a reasonable treatment goal. RESULTS The 13,461 users (3,762 age ≤15 years and 9,699 age >15 years) showed an average TITR of 48.9% in those age ≤15 years and 48.8% in the older group (vs. TIR 71.2% and 73.9%, respectively). Consistent use of a glucose target (GT) of 100 mg/dL and active insulin time (AIT) of 2 h were the most relevant factors predicting higher TITR (P < 0.0001). In users consistently applying these optimal settings, TITR was 56.7% in those age ≤15 years and 57.0% in the older group, and the relative impact of these settings on TITR was 60% and 86% greater than that on TIR, respectively. TITRs of ∼45% (age ≤15 years 46.3% and older group 45.4%), ∼50% (50.7% and 50.7%) and ∼55% (56.4% and 58.0%) were best associated with glucose management indicators <7.0%, <6.8%, and <6.5%, respectively. TITRs of >45%, >50%, and >55% were achieved in 91%, 74%, and 55% of those age ≤15 years and 93%, 81%, and 57% of older group users, respectively, at optimal settings. CONCLUSIONS This study demonstrates that 1) mean TIR is high with a high mean TITR in MM780G users (>48%), 2) consistent use of optimal GT/AIT improves TITR (>56%), 3) the impact of these settings on TITR is larger than on TIR, and 4) a TITR target >50% is our suggested treatment goal.
Collapse
Affiliation(s)
| | - Arcelia Arrieta
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | | | - Tadej Battelino
- University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Ohad Cohen
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| |
Collapse
|
7
|
Oliva Morgado Ferreira R, Trevisan T, Pasqualotto E, Schmidt P, Pedrotti Chavez M, Figueiredo Watanabe JM, van de Sande-Lee S. Efficacy of the hybrid closedloop insulin delivery system in children and adolescents with type 1 diabetes: a meta-analysis with trial sequential analysis. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2024; 68:e230280. [PMID: 38602747 PMCID: PMC11081057 DOI: 10.20945/2359-4292-2023-0280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/11/2023] [Indexed: 04/12/2024]
Abstract
The aim of this study was to assess the efficacy and safety of hybrid closed-loop (HCL) systems for insulin delivery in children and adolescents with type 1 diabetes (T1D). We searched Embase, PubMed, and Cochrane Library for randomized controlled trials (RCTs) published until March 2023 comparing the HCL therapy with control therapies for children and adolescents with T1D. We computed weighted mean differences (WMDs) for continuous outcomes and risk ratios (RRs) with 95% confidence intervals (CIs) for binary endpoints. Four RCTs and 501 patients were included, of whom 323 were randomized to HCL therapy. Compared with control therapies, HCL significantly improved the period during which glucose level was 70-180 mg/dL (WMD 10.89%, 95% CI 8.22-13.56%) and the number of participants with glycated hemoglobin (HbA1c) level < 7% (RR 2.61, 95% CI 1.29-5.28). Also, HCL significantly reduced the time during which glucoselevel was > 180 mg/dL (WMD-10.46%, 95% CI-13.99 to-6.93%) and the mean levels of glucose (WMD-16.67 mg/dL, 95% CI-22.25 to-11.09 mg/dL) and HbA1c (WMD-0.50%, 95% CI-0.68 to-0.31). There were no significant differences between therapies regarding time during which glucose level was < 70 mg/dL or <54 mg/dL or number of episodes of ketoacidosis, hyperglycemia, and hypoglycemia. In this meta-analysis, HCL compared with control therapies was associated with improved time in range and HbA1c control in children and adolescents with T1D and a similar profile of side effects. These findings support the efficacy of HCL in the treatment of T1D in this population.
Collapse
Affiliation(s)
| | - Talita Trevisan
- Clínica particular, Talita Trevisan Endocrinologia, Itajaí, SC, Brasil
| | - Eric Pasqualotto
- Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
| | - Pedro Schmidt
- Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
| | | | | | | |
Collapse
|
8
|
Yuan CY, Kong YW, Amoore T, Brown K, Grosman B, Jenkins A, Jones H, Kurtz N, Lee MH, MacIsaac R, Netzer E, Paldus B, Robinson L, Roy A, Sims CM, Trawley S, Vogrin S, O'Neal DN. Improved Satisfaction While Maintaining Safety and High Time in Range (TIR) With a Medtronic Investigational Enhanced Advanced Hybrid Closed-Loop (e-AHCL) System. Diabetes Care 2024; 47:747-755. [PMID: 38381515 DOI: 10.2337/dc23-2217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 01/26/2024] [Indexed: 02/22/2024]
Abstract
OBJECTIVE To determine feasibility and compare acceptance of an investigational Medtronic enhanced advanced hybrid closed-loop (e-AHCL) system in adults with type 1 diabetes with earlier iterations. RESEARCH DESIGN AND METHODS This nonrandomized three-stage (12 weeks each) exploratory study compared e-AHCL (Bluetooth-enabled MiniMed 780G insulin pump with automatic data upload [780G] incorporating an updated algorithm; calibration-free all-in-one disposable sensor; 7-day infusion set) preceded by a run-in (non-Bluetooth 780G [670G V4.0 insulin pump] requiring manual data upload; Guardian Sensor 3 [GS3] requiring calibration; 3-day infusion set), stage 1 (780G; GS3; 3-day infusion set), and stage 2 (780G; calibration-free Guardian Sensor 4; 3-day infusion set). Treatment satisfaction was assessed by Diabetes Technology Questionnaire (DTQ)-current (primary outcome) and other validated treatment satisfaction tools with glucose outcomes by continuous glucose monitoring metrics. RESULTS Twenty-one of 22 (11 women) participants (baseline HbA1c 6.7%/50 mmol/mol) completed the study. DTQ-current scores favored e-AHCL (123.1 [17.8]) versus run-in (101.6 [24.2]) and versus stage 1 (110.6 [20.8]) (both P < 0.001) but did not differ from stage 2 (119.4 [16.0]; P = 0.271). Diabetes Medication System Rating Questionnaire short-form scores for "Convenience and Efficacy" favored e-AHCL over run-in and all stages. Percent time in range 70-180 mg/dL was greater with e-AHCL versus run-in and stage 2 (+2.9% and +3.6%, respectively; both P < 0.001). Percent times of <70 mg/dL for e-AHCL were significantly lower than run-in, stage 1, and stage 2 (-0.9%, -0.6%, and -0.5%, respectively; all P < 0.01). CONCLUSIONS e-AHCL was feasible. User satisfaction increased compared with earlier Medtronic HCL iterations without compromising glucose control.
Collapse
Affiliation(s)
- Cheng Yi Yuan
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Department of Endocrinology, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Yee W Kong
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Department of Endocrinology, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Tess Amoore
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Katrin Brown
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | | | - Alicia Jenkins
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Department of Endocrinology, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- The Baker Institute, Prahran, Victoria, Australia
- The Australian Centre for Accelerating Diabetes Innovations, Melbourne, Victoria, Australia
| | - Hannah Jones
- Department of Endocrinology, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | | | - Melissa H Lee
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Department of Endocrinology, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Richard MacIsaac
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Department of Endocrinology, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- The Australian Centre for Accelerating Diabetes Innovations, Melbourne, Victoria, Australia
| | - Emma Netzer
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Barbora Paldus
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Lesley Robinson
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | | | - Catriona M Sims
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Steven Trawley
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Cairnmiller Institute, Hawthorn East, Victoria, Australia
| | - Sara Vogrin
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - David N O'Neal
- University of Melbourne Department of Medicine, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Department of Endocrinology, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- The Australian Centre for Accelerating Diabetes Innovations, Melbourne, Victoria, Australia
| |
Collapse
|
9
|
Carlson AL, Graham TE, Akturk HK, Liljenquist DR, Bergenstal RM, Sulik B, Shah VN, Sulik M, Zhao P, Briggs P, Sassan-Katchalski R, Pinsker JE. Control-IQ Technology Use in Individuals With High Insulin Requirements: Results From the Multicenter Higher-IQ Trial. J Diabetes Sci Technol 2024:19322968241234072. [PMID: 38439656 DOI: 10.1177/19322968241234072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
BACKGROUND Control-IQ technology version 1.5 allows for a wider range of weight and total daily insulin (TDI) entry, in addition to other changes to enhance performance for users with high basal rates. This study evaluated the safety and performance of the updated Control-IQ system for users with basal rates >3 units/h and high TDI in a multicenter, single arm, prospective study. METHODS Adults with type 1 diabetes (T1D) using continuous subcutaneous insulin infusion (CSII) and at least one basal rate over 3 units/h (N = 34, mean age = 39.9 years, 41.2% female, diabetes duration = 21.8 years) used the t:slim X2 insulin pump with Control-IQ technology version 1.5 for 13 weeks. Primary outcome was safety events (severe hypoglycemia and diabetic ketoacidosis (DKA)). Central laboratory hemoglobin A1c (HbA1c) was measured at system initiation and 13 weeks. Participants continued using glucagon-like peptide-1 (GLP-1) receptor agonists, sodium-glucose transport protein 2 (SGLT-2) inhibitors, or other medications for glycemic control and/or weight loss if on a stable dose. RESULTS All 34 participants completed the study. Fifteen participants used a basal rate >3 units/h for all 24 hours of the day. Nine participants used >300 units TDI on at least one day during the study. There were no severe hypoglycemia or DKA events. Time in range 70-180 mg/dL was 64.8% over the 13 weeks, with 1.0% time <70 mg/dL. Hemoglobin A1c decreased from 7.69% at baseline to 6.87% at 13 weeks (-0.82%, P < .001). CONCLUSIONS Control-IQ technology version 1.5, with wider range of weight and TDI input and enhancements for users with high insulin requirements, was safe in individuals with T1D in this study.
Collapse
Affiliation(s)
- Anders L Carlson
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN, USA
| | | | | | | | | | - Becky Sulik
- Rocky Mountain Diabetes Center, Idaho Falls, ID, USA
| | - Viral N Shah
- Barbara Davis Center for Diabetes, Aurora, CO, USA
| | - Mark Sulik
- Rocky Mountain Diabetes Center, Idaho Falls, ID, USA
| | - Peter Zhao
- Tandem Diabetes Care, San Diego, CA, USA
| | | | | | | |
Collapse
|
10
|
Halim B, Abraham MB, Manos G, Arrieta A, Dai Z, Vogrin S, Lu J, MacIsaac R, Ekinci EI, Davis EA, Jenkins A, Shin J, Vigersky RA, Jones TW, O'Neal D. Advances in Automated Insulin Delivery with the Medtronic 780G: The Australian Experience. Diabetes Technol Ther 2024; 26:190-197. [PMID: 38444313 DOI: 10.1089/dia.2023.0348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Aim: To assess the real-world performance of MiniMed™ 780G for Australians with type 1 diabetes (T1D) following advanced hybrid closed loop (AHCL) activation and to evaluate the effect of changing from MiniMed 670/770G to 780G. Methods: We analyzed deidentified Carelink™ continuous glucose monitoring (CGM) data from Australian users from January 2020 to December 2022, including the proportion attaining three major consensus targets: Glucose management indicator (GMI <7.0%), time in range (TIR 70-180 mg/dL >70%), and time below range (TBR 70 mg/dL <4%). Results: Comparing 670/770G users (n = 5676) for mean ± standard deviation 364 ± 244 days with 780G users (n = 3566) for 146 ± 145 days, the latter achieved a higher TIR (72.6% ± 10.6% vs. 67.3% ± 11.4%; P < 0.001), lower time above range (TAR) (25.5% ± 10.9% vs. 30.6% ± 11.7%; P < 0.001), and lower GMI (6.9% ± 0.4% vs. 7.2% ± 0.4%; P < 0.001) without compromising TBR (1.9% ± 1.8% vs. 2.0% ± 1.8%; P = 0.0015). Of 1051 670/770G users transitioning to 780G, TIR increased (70.0% ± 10.7% to 74.0% ± 10.2%; P < 0.001), TAR decreased (28.1% ± 10.9% to 24.0% ± 10.7%; P < 0.001), and TBR was unchanged. The percentage of users attaining all three CGM targets was higher in 780G users (50.1% vs. 29.5%; P < 0.001). CGM metrics were stable at 12 months post-transition. Conclusion: Real-world data from Australia shows that a higher proportion of MiniMed 780G users meet clinical targets for CGM consensus metrics compared to MiniMed 670/770G users and glucose control was sustained over 12 months.
Collapse
Affiliation(s)
- Bella Halim
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
| | - Mary B Abraham
- Children's Diabetes Centre, Telethon Kids Institute, University of Western Australia, Perth, Australia
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
| | - Georgina Manos
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
| | | | - Zheng Dai
- Medtronic, Northridge, California, USA
| | - Sara Vogrin
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Jean Lu
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Richard MacIsaac
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
- The Australian Centre for Accelerating Diabetes Innovation, Melbourne Medical School, The University of Melbourne, Melbourne, Australia
| | - Elif I Ekinci
- Department of Medicine, University of Melbourne, Melbourne, Australia
- The Australian Centre for Accelerating Diabetes Innovation, Melbourne Medical School, The University of Melbourne, Melbourne, Australia
- Department of Endocrinology, Austin Health, Melbourne, Australia
| | - Elizabeth A Davis
- Children's Diabetes Centre, Telethon Kids Institute, University of Western Australia, Perth, Australia
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
| | - Alicia Jenkins
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
- Department of Diabetes and Vascular Medicine, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - John Shin
- Medtronic, Northridge, California, USA
| | | | - Timothy W Jones
- Children's Diabetes Centre, Telethon Kids Institute, University of Western Australia, Perth, Australia
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
| | - David O'Neal
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
- The Australian Centre for Accelerating Diabetes Innovation, Melbourne Medical School, The University of Melbourne, Melbourne, Australia
| |
Collapse
|
11
|
Rioles N, March C, Muñoz CE, Ilkowitz J, Ohmer A, Wolf RM. Stakeholder Engagement in Type 1 Diabetes Research, Quality Improvement, and Clinical Care. Endocrinol Metab Clin North Am 2024; 53:165-182. [PMID: 38272594 DOI: 10.1016/j.ecl.2023.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
The integration of stakeholder engagement (SE) in research, quality improvement (QI), and clinical care has gained significant traction. Type 1 diabetes is a chronic disease that requires complex daily management and care from a multidisciplinary team across the lifespan. Inclusion of key stakeholder voices, including patients, caregivers, health care providers and community advocates, in the research process and implementation of clinical care is critical to ensure representation of perspectives that match the values and goals of the patient population. This review describes the current framework for SE and its application to research, QI, and clinical care across the lifespan.
Collapse
Affiliation(s)
| | - Christine March
- Division of Pediatric Endocrinology and Diabetes, University of Pittsburgh, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Cynthia E Muñoz
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeniece Ilkowitz
- Pediatric Diabetes Center, NYU Langone Health, New York, NY, USA
| | - Amy Ohmer
- International Children's Advisory Network, Atlanta, GA, USA
| | - Risa M Wolf
- Department of Pediatrics, Division of Endocrinology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| |
Collapse
|
12
|
Akturk HK, Battelino T, Castañeda J, Arrieta A, van den Heuvel T, Cohen O. Future of Time-in-Range Goals in the Era of Advanced Hybrid Closed-Loop Automated Insulin Delivery Systems. Diabetes Technol Ther 2024; 26:102-106. [PMID: 38377325 PMCID: PMC10890947 DOI: 10.1089/dia.2023.0432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
The concept of maintaining blood glucose levels within the 70-180 mg/dL range, known as time-in-range, has raised questions regarding its representation of true physiological euglycemia. Some have speculated that focusing on the time spent within the 70-140 mg/dL range, introduced as time in tight range (TITR) through the International Consensus statement, could serve as a more precise metric for assessing normoglycemia in individuals with type 1 diabetes. This article delves into the current status of TITR as an emerging marker and explores how advanced hybrid closed-loop systems may offer a promising avenue for achieving this higher level of glycemic control.
Collapse
Affiliation(s)
- Halis K. Akturk
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
| | - Tadej Battelino
- University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Arcelia Arrieta
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | | | - Ohad Cohen
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| |
Collapse
|
13
|
Nimri R, Phillip M, Clements MA, Kovatchev B. Closed-Loop Control, Artificial Intelligence-Based Decision-Support Systems, and Data Science. Diabetes Technol Ther 2024; 26:S68-S89. [PMID: 38441444 DOI: 10.1089/dia.2024.2505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Affiliation(s)
- Revital Nimri
- Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Moshe Phillip
- Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mark A Clements
- Division of Pediatric Endocrinology, Children's Mercy Hospitals and Clinics, Kansas City, MO, USA
| | - Boris Kovatchev
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA, USA
| |
Collapse
|
14
|
Marks BE, Grundman JB, Meighan S, Monaghan M, Streisand R, Perkins A. Hybrid Closed Loop Systems Improve Glycemic Control and Quality of Life in Historically Minoritized Youth with Diabetes. Diabetes Technol Ther 2024; 26:167-175. [PMID: 38444316 PMCID: PMC11071108 DOI: 10.1089/dia.2023.0450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Background: We assessed changes in glycemic control and person-reported outcome measures (PROMs) with t:slim X2 insulin pump with Control-IQ technology use among historically minoritized youth who are least likely to access hybrid closed loop (HCL) technology. Methods: This single-arm, prospective pilot study enrolled 15 publicly insured, insulin pump-naïve, non-Hispanic Black youth ages 6 to <21 years with type 1 diabetes and hemoglobin A1c (HbA1c) ≥10% in a 6-month study of HCL use. The primary outcome was absolute change in time in range (TIR) (70-180 mg/dL). Secondary outcomes included other continuous glucose monitor metrics, PROMs, and diabetic ketoacidosis (DKA) incidence. Results: For 13 youth (median 14.8 years, 53.3% female, HbA1c 11.7%) who completed the study, baseline TIR of 12.3% (6.3-27.1%) increased 23.7%-points (16.9, 30.5%; P < 0.001) or 5.7 h per day. Percent time >250 mg/dL decreased 33.9%-points (-44.8, -23.1%; P < 0.001) or 8.1 h per day from a baseline of 69.4% (51.6, 84.0%). Median time in HCL was 78.3% (59.7, 87.3%). Youth received 10.1 (9.2, 11.9) boluses per day, 71.7% (63.8, 79.3%) of which were HCL-initiated autoboluses. Diabetes-specific quality of life increased among parents (P < 0.001) and youth (P = 0.004), and diabetes distress decreased in both groups (P < 0.001, P = 0.005). Improvements in glycemia did not correlate with any baseline youth or parent PROMs. DKA was high at baseline (67 episodes/100-person years) and did not increase during the intervention (72 episodes/100-person years, P = 0.78). Conclusion: Improvements in glycemic control and quality of life exceeding pivotal trial findings without increased safety risks among historically minoritized youth emphasize the need for equitable access to HCL systems. ClinicalTrials.gov: clinicaltrials.gov ID (NCT04807374).
Collapse
Affiliation(s)
- Brynn E. Marks
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jody B. Grundman
- Division of Endocrinology, Children's National Medical Center, Washington, District of Columbia, USA
| | - Seema Meighan
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Maureen Monaghan
- Division of Endocrinology, Children's National Medical Center, Washington, District of Columbia, USA
| | - Randi Streisand
- Division of Endocrinology, Children's National Medical Center, Washington, District of Columbia, USA
| | - Amanda Perkins
- Division of Endocrinology, Children's National Medical Center, Washington, District of Columbia, USA
| |
Collapse
|
15
|
Shah VN, Akturk HK, Trahan A, Piquette N, Wheatcroft A, Schertz E, Carmello K, Mueller L, White K, Fu L, Sassan-Katchalski R, Messer LH, Habif S, Constantin A, Pinsker JE. Safety and Feasibility Evaluation of Automated User Profile Settings Initialization and Adaptation With Control-IQ Technology. J Diabetes Sci Technol 2024:19322968241229074. [PMID: 38323362 DOI: 10.1177/19322968241229074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
BACKGROUND Optimization of automated insulin delivery (AID) settings is required to achieve desirable glycemic outcomes. We evaluated safety and efficacy of a computerized system to initialize and adjust insulin delivery settings for the t:slim X2 insulin pump with Control-IQ technology in adults with type 1 diabetes (T1D). METHODS After a 2-week continuous glucose monitoring (CGM) run-in period, adults with T1D using multiple daily injections (MDI) (N = 33, mean age 36.1 years, 57.6% female, diabetes duration 19.7 years) were transitioned to 13 weeks of Control-IQ technology usage. A computerized algorithm generated recommendations for initial pump settings (basal rate, insulin-to-carbohydrate ratio, and correction factor) and weekly follow-up settings to optimize glycemic outcomes. Physicians could override the automated settings changes for safety concerns. RESULTS Time in range 70 to 180 mg/dL improved from 45.7% during run-in to 69.1% during the last 30 days of Control-IQ use, a median improvement of 18.8% (95% confidence interval [CI]: 13.6-23.9, P < .001). This improvement was evident early in the study and was sustained over 13 weeks. Time <70 mg/dL showed a gradual decreasing trend over time. Percentage of participants achieving HbA1c <7% went from zero at baseline to 55% at study end (P < .001). Only six of the 318 automated settings adaptations (1.9%) were overridden by study investigators. CONCLUSIONS Computerized initiation and adaptation of Control-IQ technology settings from baseline MDI therapy was safe in adults with T1D. The use of this simplified system for onboarding and optimizing Control-IQ technology may be useful to increase uptake of AID and reduce staff and patient burden in clinical care.
Collapse
Affiliation(s)
- Viral N Shah
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA
| | - Halis K Akturk
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA
| | | | | | | | | | | | | | | | - Larry Fu
- Tandem Diabetes Care, San Diego, CA, USA
| | | | | | | | | | | |
Collapse
|
16
|
Maguolo A, Mazzuca G, Smart CE, Maffeis C. Postprandial glucose metabolism in children and adolescents with type 1 diabetes mellitus: potential targets for improvement. Eur J Clin Nutr 2024; 78:79-86. [PMID: 37875611 DOI: 10.1038/s41430-023-01359-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 10/05/2023] [Accepted: 10/11/2023] [Indexed: 10/26/2023]
Abstract
The main goal of therapeutic management of type 1 Diabetes Mellitus (T1DM) is to maintain optimal glycemic control to prevent acute and long-term diabetes complications and to enable a good quality of life. Postprandial glycemia makes a substantial contribution to overall glycemic control and variability in diabetes and, despite technological advancements in insulin treatments, optimal postprandial glycemia is difficult to achieve. Several factors influence postprandial blood glucose levels in children and adolescents with T1DM, including nutritional habits and adjustment of insulin doses according to meal composition. Additionally, hormone secretion, enteroendocrine axis dysfunction, altered gastrointestinal digestion and absorption, and physical activity play important roles. Meal-time routines, intake of appropriate ratios of macronutrients, and correct adjustment of the insulin dose for the meal composition have positive impacts on postprandial glycemic variability and long-term cardiometabolic health of the individual with T1DM. Further knowledge in the field is necessary for management of all these factors to be part of routine pediatric diabetes education and clinical practice. Thus, the aim of this report is to review the main factors that influence postprandial blood glucose levels and metabolism, focusing on macronutrients and other nutritional and lifestyle factors, to suggest potential targets for improving postprandial glycemia in the management of children and adolescents with T1DM.
Collapse
Affiliation(s)
- Alice Maguolo
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy.
| | - Giorgia Mazzuca
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy
| | - Carmel E Smart
- School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia
- Department of Paediatric Diabetes and Endocrinology, John Hunter Children's Hospital, Newcastle, NSW, Australia
| | - Claudio Maffeis
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy
| |
Collapse
|
17
|
Lei M, Chen D, Ling P, Wang C, Yang D, Deng H, Yang X, Xu W, Yan J. Effect of artificial pancreas system use on glycaemic control among pregnant women with type 1 diabetes mellitus: A meta-analysis of randomized controlled trials. Diabetes Obes Metab 2024; 26:673-681. [PMID: 37953389 DOI: 10.1111/dom.15357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/17/2023] [Accepted: 10/17/2023] [Indexed: 11/14/2023]
Abstract
AIM To assess the efficacy of artificial pancreas systems (APS) use among pregnant women with type 1 diabetes mellitus (T1DM) by conducting a meta-analysis. METHODS We searched five databases, including EMBASE, Web of Science, PubMed, Cochrane Library and SCOPUS, for literature on APS use among pregnant women with T1DM before October 9, 2023. The primary endpoint was 24-hour time in range (TIR; 3.5-7.8 mmol/L). Secondary endpoints included glycaemic metrics for 24-hour (mean blood glucose [MBG], time above range [TAR], time below range [TBR]), and overnight TIR and TBR. RESULTS We identified four randomized controlled trials involving 164 participants; one study with 16 participants focused on overnight APS use, and the other three focused on 24-hour APS use. Compared with standard care, APS exhibited a favourable effect on 24-hour TIR (standard mean difference [SMD] = 0.53, 95% confidence interval [CI] 0.25, 0.80, P < 0.001), overnight TIR (SMD = 0.67, 95% CI 0.39, 0.95, P < 0.001), and overnight TBR (<3.5 mmol/L; SMD = -0.49, 95% CI -0.77, -0.21 P < 0.001), while there was no significant difference in 24-hour TAR, 24-hour TBR, or MBG between the two groups. We further conducted subgroup analyses after removing the trial focused on overnight APS use and showed that 24-hour APS use reduced not only the 24-hour TIR (SMD = 0.41, 95% CI 0.12, 0.71; P = 0.007) but also the 24-hour TBR (<2.8 mmol/L; SMD = -0.77, 95% CI -1.32, -0.23, P = 0.006). CONCLUSION Our findings suggest that APS might improve 24-hour TIR and overnight glycaemic control, and 24-hour APS use also significantly reduced 24-hour TBR (2.8 mmol/L) among pregnant women with T1DM.
Collapse
Affiliation(s)
- Mengyun Lei
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Danrui Chen
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ping Ling
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Chaofan Wang
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Daizhi Yang
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hongrong Deng
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xubin Yang
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wen Xu
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jinhua Yan
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
18
|
Samuel P, Khan N, Klein G, Skobkarev S, Mammon B, Fournier M, Hawke K, Weissinger A, Elliott T. Open-source Artificial Pancreas Systems Are Safe and Effective When Supported In-clinic: Outcomes in 248 Consecutive Type 1 Diabetes Clients. Can J Diabetes 2024; 48:59-65.e1. [PMID: 37802366 DOI: 10.1016/j.jcjd.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/10/2023]
Abstract
OBJECTIVE Our aim in this study was to determine the safety, glycemia, and quality of life (QoL) associated with in-clinic installation and management of supported open-source artificial pancreas systems (SOSAPS) in type 1 diabetes (T1D). METHODS This investigation is a retrospective cohort study of consecutive SOSAPS users at a Canadian diabetes centre. SOSAPS were offered to all moderately tech-savvy T1D clients on sensor-augmented multiple daily injection or pump, able to pay for hardware, and willing to sign a consent and waiver document. SOSAPS were installed and maintained by clinic staff at no cost to clients. iPhone users were assigned to either Loop (n=108) or iPhone artificial pancreas systems (iAPS; n=114) and Android users to Android-type APS (n=24). Outcomes included severe hypoglycemia and diabetic ketoacidosis (DKA), time in range (TIR) 4.0 to 10.0 mmol/L, time below range (TBR) <4 mmol/L, glucose management indicator (GMI), mean sensor glucose (MSG), change in glycated hemoglobin (A1C), and QoL. RESULTS Two hundred forty-eight subjects (131 males, 117 females), with a mean age of 36 years and diabetes duration of 21 years, experienced 3 episodes of severe hypoglycemia and no DKA over a follow-up of 17 months. TIR rose by 16%, from 64% to 80% (p<0.0001); TBR fell by 1.0%, from 3.5% to 2.5% (p=0.001); MSG fell from 9.0 to 8.1 mmol/L (p<0.001); GMI fell from 7.3% to 6.7% (p<0.001); and A1C fell from 7.2% to 6.7% (p<0.0001). QoL scores were healthy before and improved after SOSAPS. CONCLUSIONS Clients with T1D using SOSAPS and supported with no-cost care to the client (software, technology, and physician/physician assistant) safely achieved improved TIR, GMI, A1C, and QoL.
Collapse
Affiliation(s)
| | - Nabeel Khan
- BCDiabetes, Vancouver, British Columbia, Canada
| | - Gerri Klein
- BCDiabetes, Vancouver, British Columbia, Canada
| | | | | | | | - Kate Hawke
- BCDiabetes, Vancouver, British Columbia, Canada; Logan Endocrinology and Diabetes Service (LEADS), Logan Hospital, Meadowbrook, Queensland, Australia
| | | | - Tom Elliott
- BCDiabetes, Vancouver, British Columbia, Canada; Division of Endocrinology, University of British Columbia, Gordon and Leslie Diamond Centre, Vancouver, British Columbia, Canada.
| |
Collapse
|
19
|
ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S126-S144. [PMID: 38078575 PMCID: PMC10725813 DOI: 10.2337/dc24-s007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
20
|
Chico A, Moreno-Fernández J, Fernández-García D, Solá E. The Hybrid Closed-Loop System Tandem t:slim X2™ with Control-IQ Technology: Expert Recommendations for Better Management and Optimization. Diabetes Ther 2024; 15:281-295. [PMID: 37857988 PMCID: PMC10786785 DOI: 10.1007/s13300-023-01486-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/04/2023] [Indexed: 10/21/2023] Open
Abstract
Technological advances in the management of diabetes, especially type 1 diabetes (T1D), have played a main role in significantly improving glycemic control of these patients in recent years. Undoubtedly, the most important advance has been the commercialization of hybrid closed-loop systems (HCL). Their effectiveness places them in the different guidelines from scientific societies as the gold standard for the treatment of people with T1D. However, obtaining the maximum performance from these systems requires a degree of expertise from the professionals who care for these patients. Specifically, the Tandem X2:slim with Control-IQ technology system, due to its features and configuration options and adjustments, allows T1D patients to better adapt the management of diabetes to multiple circumstances in their day-to-day life. It is necessary, however, to follow a systematic process to start the system and also for the subsequent follow-up, which allows its optimization in the shortest possible time. This expert recommendation reviews the main features of this HCL system, suggesting how to implement it and optimize its use after gaining experience treating many patients.
Collapse
Affiliation(s)
- Ana Chico
- Department of Endocrinology and Nutrition, Hospital Santa Creu i Sant Pau, Av. Pare Claret 167, 08025, Barcelona, Spain.
- Universitat Autònoma de Barcelona, Barcelona, Spain.
- CIBER-BBN, Instituto de Salud Carlos III, Madrid, Spain.
| | - Jesús Moreno-Fernández
- Department of Endocrinology and Nutrition, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
| | - Diego Fernández-García
- Department of Endocrinology and Nutrition, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Hospital Vithas Xanit Benalmádena, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga, Málaga, Spain
- CIBER-OBN, Instituto Salud Carlos III, Madrid, Spain
| | - Eva Solá
- Department of Endocrinology and Nutrition, Hospital Universitario Dr Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain
- Departament of Medicine, University of Valencia, Valencia, Spain
| |
Collapse
|
21
|
Messer LH, D’Souza E, Merchant G, Mueller L, Farnan J, Habif S, Pinsker JE. Smartphone Bolus Feature Increases Number of Insulin Boluses in People With Low Bolus Frequency. J Diabetes Sci Technol 2024; 18:10-13. [PMID: 37605474 PMCID: PMC10899852 DOI: 10.1177/19322968231191796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
BACKGROUND The t:connect mobile app from Tandem Diabetes Care recently added a feature to allow t:slim X2 insulin pump users to initiate an insulin bolus from their personal smartphone. User experience and user interface considerations prioritized safety and ease of use, and we examined whether the smartphone bolus feature changed bolus behavior in individuals who bolused less than three times/day. METHODS We performed a retrospective analysis of t:slim X2 insulin pump users in the United States who had remotely updated their insulin pump software to be compatible with the smartphone bolus version of the app and who gave less than three boluses per day prior to the smartphone bolus update. RESULTS Of the 4470 early adopters who met these criteria, the median number of boluses was 2.2 per day (prior to smartphone bolus update) versus 2.7 per day (after smartphone bolus update), equating to approximately half a bolus more delivered per day (P < .001). Overall, a median of one bolus per day was administered by smartphone app as opposed to being initiated from the screen on the insulin pump. CONCLUSION This analysis found a significant increase in bolusing behavior among early adopters of the smartphone bolus feature of the t:connect mobile app.
Collapse
|
22
|
Lepore G, Borella ND, Castagna G, Ippolito S, Bonfadini S, Corsi A, Scaranna C, Dodesini AR, Bellante R, Trevisan R. Advanced Hybrid Closed-Loop System Achieves and Maintains Recommended Time in Range Levels for Up To 2 Years: Predictors of Best Efficacy. Diabetes Technol Ther 2024; 26:49-58. [PMID: 37902785 DOI: 10.1089/dia.2023.0261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Aim: To evaluate the long-term efficacy, up to 2 years, of an advanced hybrid closed-loop (AHCL) system and to assess predictors of best results of the therapy. Methods: We retrospectively evaluated 296 adults with type 1 diabetes mellitus [mean age 42.8 ± 16.5 years, men 42.9%, duration of diabetes 22.5 ± 12.8 years, body mass index 24.9 ± 4.7 kg/m2, baseline glycated hemoglobin (HbA1c) 63.4 ± 12.2 mmol/mol (8.0 ± 1.1%) ] who used the MiniMed™ 780G system. Demographic and clinical data were recorded. Continuous glucose monitoring (CGM)-derived metrics and insulin requirement were analyzed from the 4 weeks before and from every quarter after the switch to the AHCL system. Results: In the first quarter of AHCL treatment, all CGM metrics improved. Time in range (TIR) increased from 58.1 ± 17.5% to 70.3 ± 9.5% (P < 0.0001). The improvement lasted for up to 2 years of observation regardless of previous insulin therapies. Throughout the period of observation, 53.4% of participants achieved mean TIR >70%, 92.6% mean time below range <4%, and 46% mean glucose management indicator <53 mmol/mol (7.0%). At univariable logistic regression older age, lower baseline HbA1c and insulin requirement were associated with mean TIR >70%. At multivariable analysis, lower HbA1c remained independently associated with a better glycemic control. However, mean TIR increased more in participants with a higher baseline HbA1c. Conclusions: Switching to an AHCL leads to a rapid improvement in glycemic control lasting for up to 24 months along with a low risk for hypoglycemia, confirming the safety of the system. Lower baseline HbA1c was the main predictor of better efficacy of therapy, although higher baseline HbA1c was associated with the greatest improvement in mean TIR.
Collapse
Affiliation(s)
- Giuseppe Lepore
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Nicolò Diego Borella
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Giona Castagna
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
- Department of Medicine, Università degli Studi di Milano-Bicocca, Milan, Italy
| | - Silvia Ippolito
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Silvia Bonfadini
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Anna Corsi
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Cristiana Scaranna
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Alessandro Roberto Dodesini
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Rosalia Bellante
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Roberto Trevisan
- Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
- Department of Medicine, Università degli Studi di Milano-Bicocca, Milan, Italy
| |
Collapse
|
23
|
Addala A. Making a Good Thing Even Better: Expanding Access and Applicability of Automated Insulin Delivery Systems to Benefit All Youth With Type 1 Diabetes. Diabetes Care 2023; 46:2126-2128. [PMID: 38011525 DOI: 10.2337/dci23-0057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 09/10/2023] [Indexed: 11/29/2023]
Affiliation(s)
- Ananta Addala
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, CA
| |
Collapse
|
24
|
Marks BE, Meighan S, Zehra A, Douvas JL, Rearson A, Suresh R, Brown EA, Wolf RM. Real-World Glycemic Outcomes with Early Omnipod 5 Use in Youth with Type 1 Diabetes. Diabetes Technol Ther 2023; 25:782-789. [PMID: 37646634 PMCID: PMC10771875 DOI: 10.1089/dia.2023.0337] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Background: Pivotal trials of diabetes technologies have demonstrated glycemic improvements; however, these trials include patients of limited diversity and ranges of glycemic control. We assessed changes in glycemic control during the first 90 days of Omnipod 5 use in a real-world cohort of youth with type 1 diabetes (T1D). Methods: Youth 2-21 years with T1D initiating Omnipod 5 at two pediatric academic centers were included. Fourteen days of baseline (BL) continuous glucose monitoring (CGM) data were compared against data from the first 90 days of Omnipod 5 use. Outcome measures included changes in time in range (TIR), hemoglobin A1c (HbA1c), and CGM and insulin pump metrics based on the duration of Omnipod 5 use. Results: Among 195 youth (78.9% non-Hispanic White, 15.4% publicly insured, age 11.7 years, T1D duration 3.3 years) TIR increased 11%-points, from 49% to 61% (P < 0.001), and HbA1c decreased 0.5%-points, from 7.5% to 6.9% (P < 0.001). TIR improved within the first 9 days of Omnipod 5 use (p < 0.001) and did not change significantly thereafter (P = 0.1) despite decreases in user-initiated boluses (5.1 vs. 5.0, P = 0.01) and carbohydrate entries (4.2 vs. 4.1, P = 0.005) from days 1-9 to days 1-90. TIR improved 15%-points among youth with BL TIR <60% compared to a 5%-point increase for youth with BL TIR ≥60% (P < 0.001). Conclusions: Glycemic control improved within 9 days of Omnipod 5 initiation in this real-world cohort, and improvements were sustained over the first 90 days of use despite concomitant decreases in user-initiated boluses. These improvements were comparable to those observed in the pivotal trial.
Collapse
Affiliation(s)
- Brynn E. Marks
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Seema Meighan
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Anum Zehra
- Division of Endocrinology and Diabetes, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Julia L. Douvas
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Andrew Rearson
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Reshma Suresh
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Elizabeth A. Brown
- Division of Endocrinology and Diabetes, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Risa M. Wolf
- Division of Endocrinology and Diabetes, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
25
|
Marshall A, Lim L, Allyson M, Youde S, Ann N, Nghi B, Townsend N, Monique S, Amy W, Ramjan K, Nyunt O, Hameed S. Letters to the Editor. J Paediatr Child Health 2023; 59:1183-1185. [PMID: 37698087 DOI: 10.1111/jpc.16493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/10/2023] [Accepted: 09/03/2023] [Indexed: 09/13/2023]
Affiliation(s)
- Ailsa Marshall
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Lena Lim
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Macdonald Allyson
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Sharon Youde
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Nillsen Ann
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Bui Nghi
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Nicky Townsend
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Stone Monique
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
- Department of Paediatric Endocrinology, Campbelltown Hospital, Sydney, New South Wales, Australia
| | - Wanaguru Amy
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Kim Ramjan
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
- School of Medicine, Western Sydney University, Sydney, New South Wales, Australia
| | - Ohn Nyunt
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Northern Clinical School, Faculty of Medicine, University of Sydney, Sydney, New South Wales, Australia
- Department of Paediatric Endocrinology, Sydney Children's Hospital, Sydney, New South Wales, Australia
| | - Shihab Hameed
- Department of Paediatric Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, New South Wales, Australia
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Northern Clinical School, Faculty of Medicine, University of Sydney, Sydney, New South Wales, Australia
- Department of Paediatric Endocrinology, Sydney Children's Hospital, Sydney, New South Wales, Australia
| |
Collapse
|
26
|
Levy CJ, Raghinaru D, Kudva YC, Pandit K, Blevins T, Casaubon L, Desjardins D, Levister CM, O’Malley G, Reid C, Lum J, Kollman C, Beck RW. Beneficial Effects of Control-IQ Automated Insulin Delivery in Basal-Bolus and Basal-Only Insulin Users With Type 2 Diabetes. Clin Diabetes 2023; 42:116-124. [PMID: 38230336 PMCID: PMC10788662 DOI: 10.2337/cd23-0025] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
The t:slim X2 insulin pump with Control-IQ technology (Control-IQ) advanced hybrid closed-loop automated insulin delivery system was evaluated in this prospective single-arm trial. Thirty adults with type 2 diabetes using the Control-IQ system showed substantial glycemic improvement with no increase in hypoglycemia. Mean time in range (70-180 mg/dL) improved 15%, representing an increase of 3.6 hours/day, and mean glucose decreased by 22 mg/dL.
Collapse
Affiliation(s)
- Carol J. Levy
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Yogish C. Kudva
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Keta Pandit
- Texas Diabetes and Endocrinology, Austin, TX
| | | | | | - Donna Desjardins
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Camilla M. Levister
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Grenye O’Malley
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Corey Reid
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - John Lum
- Jaeb Center for Health Research, Tampa, FL
| | | | | |
Collapse
|
27
|
Bloomgarden Z. How can we reach the target of glucose control in type 1 diabetes? J Diabetes 2023; 15:462-464. [PMID: 37211953 PMCID: PMC10270742 DOI: 10.1111/1753-0407.13413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/08/2023] [Indexed: 05/23/2023] Open
Affiliation(s)
- Zachary Bloomgarden
- Department of Medicine, Division of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| |
Collapse
|