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Battelino T, Brosius F, Ceriello A, Cosentino F, Green J, Kellerer M, Koob S, Kosiborod M, Lalic N, Marx N, Nedungadi TP, Rydén L, Rodbard HW, Ji L, Sheu WHH, Standl E, Parkin CG, Schnell O. Guideline Development for Medical Device Technology: Issues for Consideration. J Diabetes Sci Technol 2023; 17:1698-1710. [PMID: 35531901 PMCID: PMC10658688 DOI: 10.1177/19322968221093355] [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: 11/15/2022]
Abstract
Advances in the development of innovative medical devices and telehealth technologies create the potential to improve the quality and efficiency of diabetes care through collecting, aggregating, and interpreting relevant health data in ways that facilitate more informed decisions among all stakeholder groups. Although many medical societies publish guidelines for utilizing these technologies in clinical practice, we believe that the methodologies used for the selection and grading of the evidence should be revised. In this article, we discuss the strengths and limitations of the various types of research commonly used for evidence selection and grading and present recommendations for modifying the process to more effectively address the rapid pace of device and technology innovation and new product development.
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Affiliation(s)
- Tadej Battelino
- University Medical Center Ljubljana, University of Ljubljana, Ljubljana, Slovenia
| | - Frank Brosius
- University of Arizona College of Medicine–Tucson, AZ, USA
| | | | - Francesco Cosentino
- Cardiology Unit, Department of Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
| | - Jennifer Green
- Duke University Medical Center, Duke Clinical Research Institute, Durham, NC, USA
| | | | | | - Mikhail Kosiborod
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Nebojsa Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia
| | - Nikolaus Marx
- Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany
| | | | - Lars Rydén
- Department of Medicine K2, Karolinska Institute, Stockholm, Sweden
| | | | - Linong Ji
- Peking University People’s Hospital, Beijing, China
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City
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2
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O'Meara M, Mateus Acuña JC, Uribe A. Long-Term Benefits of an Integrated Continuous Glucose Monitoring and Insulin Pump System for Emergency Admissions, Hospitalization, and Metabolic Control in a Cohort of People With Diabetes: Retrospective Cohort Study. JMIR Diabetes 2023; 8:e46880. [PMID: 37610810 PMCID: PMC10483304 DOI: 10.2196/46880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/09/2023] [Accepted: 07/12/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND There is evidence in the literature that the use of sensor-augmented insulin pumps in patients with high-complexity diabetes improves metabolic control. However, there is no long-term information on clinical outcomes such as hospitalization or admission to the emergency room. This study describes outcomes for metabolic control, incidence of hospitalizations, and emergency room visits in a specific population using this technology. OBJECTIVE We aimed to assess long-term glycemic and clinical outcomes after the use of continuous subcutaneous insulin infusion and continuous glucose monitoring in people with diabetes. METHODS A retrospective cohort study was carried out in patients with diabetes previously treated with an intensive insulin regimen at a specialized diabetes treatment center who required a sensor-augmented insulin pump due to nonoptimal glycemic control. Glycated hemoglobin, severe hypoglycemic episodes, nonsevere hypoglycemic episodes, perception of hypoglycemia, and the incidence of emergency room visits and hospitalizations before and after treatment were evaluated. RESULTS Between January 2013 and August 2020, 74 patients with a median age of 36 (IQR 27-46) years were included in the study with a median 4 (IQR 2-7) years of follow-up. We found a statistically significant reduction in glycated hemoglobin (8.35% vs 7%; P<.001), nonsevere hypoglycemic episodes (71/74, 96% vs 62/74, 84%; P=.01), emergency room visits (42/73, 58% vs 4/62, 6%; P<.001), and hospitalizations (36/72, 50% vs 10/72, 14%; P<.001) after use of continuous subcutaneous insulin infusion. CONCLUSIONS The use of a sensor-augmented insulin pump associated with a strict follow-up program for patients with high-complexity diabetes led to a significant and sustained reduction in glycated hemoglobin and hypoglycemic episodes, as well as in the rate of emergency room visits and hospitalizations. These results encourage the adoption of this technology in patients who do not achieve metabolic control with optimal management of diabetes.
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Affiliation(s)
- Miguel O'Meara
- Fundación Cardioinfantil, Universidad del Rosario, Programa Diabetes de alta complejidad, Compensar Entidad Promotora de salud, Bogotá, Colombia
- Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Juan Camilo Mateus Acuña
- Fundación Cardioinfantil, Universidad del Rosario, Programa Diabetes de alta complejidad, Compensar Entidad Promotora de salud, Bogotá, Colombia
- Clínica Los Cobos Medical Center, Universidad del Bosque, Bogotá, Colombia
| | - Andrea Uribe
- Fundación Cardioinfantil, Universidad del Rosario, Programa Diabetes de alta complejidad, Compensar Entidad Promotora de salud, Bogotá, Colombia
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3
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Tsai D, Flores Garcia J, Fogel JL, Wee CP, Reid MW, Raymond JK. Diabetes Technology Experiences Among Latinx and Non-Latinx Youth with Type 1 Diabetes. J Diabetes Sci Technol 2022; 16:834-843. [PMID: 34225480 PMCID: PMC9264427 DOI: 10.1177/19322968211029260] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Diabetes technologies, such as insulin pumps and continuous glucose monitors (CGM), have been associated with improved glycemic control and increased quality of life for young people with type 1 diabetes (T1D); however, few young people use these devices, especially those from minority ethnic groups. Current literature predominantly focuses on white patients with private insurance and does not report experiences of diverse pediatric patients with limited resources. METHODS To explore potential differences between Latinx and non-Latinx patients, English- and Spanish-speaking young people with T1D (n = 173, ages 11-25 years) were surveyed to assess attitudes about and barriers to diabetes technologies using the Technology Use Attitudes and Barriers to Device Use questionnaires. RESULTS Both English- and Spanish-speaking participants who identified as Latinx were more likely to have public insurance (P = .0001). English-speaking Latinx participants reported higher Hemoglobin A1c values (P = .003), less CGM use (P = .002), and more negative attitudes about technology (generally, P = .003; and diabetes-specific, P < .001) than either non-Latinx or Spanish-speaking Latinx participants. Barriers were encountered with equivalent frequency across groups. CONCLUSIONS Latinx English-speaking participants had less positive attitudes toward general and diabetes technology than Latinx Spanish-speaking and non-Latinx English-speaking peers, and differences in CGM use were associated with socioeconomic status. Additional work is needed to design and deliver diabetes interventions that are of interest to and supportive of patients from diverse ethnic and language backgrounds.
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Affiliation(s)
- David Tsai
- Children’s Hospital Los Angeles,
University of Southern California, Los Angeles, CA, USA
- David Tsai, MD, Children’s Hospital Los
Angeles, University of Southern California, 4650 Sunset Blvd, Los Angeles, CA
90027, USA.
| | - Jaquelin Flores Garcia
- Children’s Hospital Los Angeles,
University of Southern California, Los Angeles, CA, USA
| | - Jennifer L. Fogel
- Children’s Hospital Los Angeles,
University of Southern California, Los Angeles, CA, USA
| | - Choo Phei Wee
- Children’s Hospital Los Angeles,
University of Southern California, Los Angeles, CA, USA
| | - Mark W. Reid
- Children’s Hospital Los Angeles,
University of Southern California, Los Angeles, CA, USA
| | - Jennifer K. Raymond
- Children’s Hospital Los Angeles,
University of Southern California, Los Angeles, CA, USA
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William J, McCluskey J, Gleeson N. RT‐CGM in conjunction with CSII vs MDI in optimizing glycaemic control in T1DM: Systemic review and meta‐analysis. Endocrinol Diabetes Metab 2022; 5:e00324. [PMID: 35118826 PMCID: PMC8917862 DOI: 10.1002/edm2.324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 01/10/2022] [Accepted: 01/22/2022] [Indexed: 11/11/2022] Open
Abstract
Introduction To determine the impact of real‐time continuous glucose monitoring (RT‐CGM) in conjunction with ‘Open loop’‐ continuous subcutaneous insulin infusion (CSII) as compared to conventional multiple daily injections (MDI) in type 1 diabetes. Methods We explored the COCHRANE database, MEDLINE, WEB OF SCIENCE, GOOGLE SCHOLARS, PUBMED, EMBASE, and cited literature in articles retrieved (2010–2021) for all randomized controlled trials and real‐world trials of more than 6 months duration in patients with type 1 diabetes that compared RT‐CGM+CSII vs RT‐ CGM+MDI. A total of 1645 publications have been identified; however, only 3 trials fulfilled our inclusion criteria with a total number of 150 patients (72 patients using RT‐CGM+CSII and 78 patients on RT‐CGM+MDI). A Systematic Review and Meta‐analysis were carried out. Results No statistically significant reduction in HbA1c was found on comparing RT‐CGM+CSII vs RT‐ CGM + MDI, with p‐value = .75. Likewise, impact on TIR, weight and insulin usage was found to be statistically insignificant with p‐value of 0.15, 0.75 and 0.20 respectively. There was an overall homogeneity between the 3 trials in respect to all previous variables with I2 being 0%. Conclusions Real‐time continuous glucose monitors in conjunction with MDI open‐loop CSII had a similar impact on HbA1c, weight, insulin usage and TIR. In addition, RT‐CGM when combined with CSII was associated with higher costs and reduced quality of life, hence RT‐ CGM+MDI can be considered as a cheaper, safer yet equivalent substitute. Review Registration This study was registered in PROSPERO (International prospective register of systematic reviews). Registration Name: RT‐CGM in conjunction with CSII vs MDI in optimizing glycaemic control in T1DM: a systematic review. Registration No: CRD42021255333. Accessible at: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021255333. Amendments: Few amendments to the above‐mentioned registration were made: (1) Title (Meta‐analysis was added). (2) Prof. Gleeson was added as an author. (3) Real‐world trials were included. (4) Outcomes required in studies as per our inclusion criteria amended to include at least 1 outcome. (5) Bias risk was assessed by the CASP tool.
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Affiliation(s)
- Jimmy William
- Sligo University Hospital – Haematology Department Sligo Ireland
| | - Jane McCluskey
- Queen Margaret University Queen Margaret University Way Musselburgh UK
| | - Nigel Gleeson
- Queen Margaret University Queen Margaret University Way Musselburgh UK
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Newman C, Ero A, Dunne FP. Glycaemic control and novel technology management strategies in pregestational diabetes mellitus. Front Endocrinol (Lausanne) 2022; 13:1109825. [PMID: 36714590 PMCID: PMC9877346 DOI: 10.3389/fendo.2022.1109825] [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: 11/28/2022] [Accepted: 12/21/2022] [Indexed: 01/15/2023] Open
Abstract
INTRODUCTION Pregestational diabetes (PGDM) is an increasingly common and complex condition that infers risk to both mother and infant. To prevent serious morbidity, strict glycaemic control is essential. The aim of this review is to review the glucose sensing and insulin delivering technologies currently available for women with PGDM. METHODS We reviewed online databases for articles relating to technology use in pregnancy using a combination of keywords and MeSH headings. Relevant articles are included below. RESULTS A number of technological advancements have improved care and outcomes for women with PGDM. Real time continuous glucose monitoring (rtCGM) offers clear advantages in terms of infants size and neonatal intensive care unit admissions; and further benefits are seen when combined with continuous subcutaneous insulin delivery (insulin pump) and algorithms which continuously adjust insulin levels to glucose targets (hybrid closed loop). Other advancements including flash or intermittent scanning CGM (isCGM) and stand-alone insulin pumps do not confer as many advantages for women and their infants, however they are increasingly used outside of pregnancy and many women enter pregnancy already using these devices. DISCUSSION This article offers a discussion of the most commonly used technologies in pregnancy and evaluates their current and future roles.
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Affiliation(s)
- Christine Newman
- School of Medicine, College of Medicine, Nursing and Health Science, University of Galway, Galway, Ireland
- Department of Diabetes and Endocrinology, Galway University Hospital, Galway, Ireland
- Diabetes Collaborative Clinical Trials Network, University of Galway, Galway, Ireland
- *Correspondence: Christine Newman,
| | - Adesuwa Ero
- Department of Diabetes and Endocrinology, Galway University Hospital, Galway, Ireland
| | - Fidelma P. Dunne
- School of Medicine, College of Medicine, Nursing and Health Science, University of Galway, Galway, Ireland
- Department of Diabetes and Endocrinology, Galway University Hospital, Galway, Ireland
- Diabetes Collaborative Clinical Trials Network, University of Galway, Galway, Ireland
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Miller VA, Xiao R, Willi SM. Correlates of Continuous Glucose Monitoring Use Trajectories in Children and Adolescents with Type 1 Diabetes. Diabetes Technol Ther 2021; 23:590-594. [PMID: 33605786 PMCID: PMC8377507 DOI: 10.1089/dia.2020.0668] [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: 11/12/2022]
Abstract
The goal of this study was to characterize trajectories of continuous glucose monitoring (CGM) use in youth 5-12 weeks after starting CGM and examine what factors differentiate between the trajectory groups. Parent-youth dyads completed assessments before starting CGM. Days of CGM use between weeks 5 and 12 were accessed through cloud-based data repository. Three patterns of use were observed among 96 youth (mean age 13.4 ± 2.75 years; 75% white): sustained high, declining, and sustained low. Youth in the sustained low and declining groups were more likely than those in the sustained high group to use a receiver (versus smart phone). There were no differences between the trajectory groups with respect to age, race, ethnicity, income, or insulin regimen. Future research should examine trajectory groups for a longer follow-up period and identify baseline factors that reliably predict which youth will have low or declining CGM use over time.
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Affiliation(s)
- Victoria A. Miller
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Address correspondence to, Victoria A. Miller, PhD, Division of Adolescent Medicine, Children's Hospital of Philadelphia, Buerger Room 12-219, Philadelphia, PA 19104-4399, USA
| | - Rui Xiao
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Steven M. Willi
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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7
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Braune K, Boss K, Schmidt-Herzel J, Gajewska KA, Thieffry A, Schulze L, Posern B, Raile K. Shaping Workflows in Digital and Remote Diabetes Care During the COVID-19 Pandemic via Service Design: Prospective, Longitudinal, Open-label Feasibility Trial. JMIR Mhealth Uhealth 2021; 9:e24374. [PMID: 33571104 PMCID: PMC8023381 DOI: 10.2196/24374] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 10/28/2020] [Accepted: 12/08/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic poses new challenges to health care providers and the delivery of continuous care. Although many diabetes technologies, such as insulin pumps and continuous glucose monitors, have been established, the data from these devices are rarely assessed. Furthermore, telemedicine has not been sufficiently integrated into clinical workflows. OBJECTIVE We sought to remotely support children with type 1 diabetes and their caregivers, enhance the clinical outcomes and quality of life of children with diabetes, increase multiple stakeholders' engagement with digital care via a participatory approach, evaluate the feasibility of using an interoperable open-source platform in a university hospital setting, and analyze the success factors and barriers of transitioning from conventional care to digital care. METHODS Service design methods were used to adapt clinical workflows. Remote consultations were performed on a monthly and on-demand basis. Diabetes device data were uploaded from patients' homes to an open-source platform. Clinical and patient-reported outcomes were assessed before, during, and after the COVID-19 lockdown period in Germany. RESULTS A total of 28 children with type 1 diabetes and their caregivers enrolled in this study and completed 6 months of remote visits. Of these 28 participants, 16 (57%) also opted to attend at least one of their regular visits remotely. After 3 months of remote visits, participants' time in range (P=.001) and time in hyperglycemia (P=.004) significantly improved, and their time in hypoglycemia did not increase. These improvements were maintained during the COVID-19 lockdown period (ie, between months 3 and 6 of this study). Participants' psychosocial health improved after 6 months. CONCLUSIONS Remote consultations and commonly shared data access can improve the clinical outcomes and quality of life of children with type 1 diabetes, even during challenging circumstances. A service design approach helped with the delivery of comprehensive and holistic solutions that accounted for the needs of multiple stakeholders. Our findings can inform the future integration of digital tools into clinical care during and beyond the pandemic. TRIAL REGISTRATION German Clinical Trials Register DRKS00016170; https://tinyurl.com/skz4wdk5.
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Affiliation(s)
- Katarina Braune
- Charité - Universitätsmedizin Berlin, Department of Paediatric Endocrinology and Diabetes, Berlin, Germany.,Berlin Institute of Health, Berlin, Germany
| | - Karina Boss
- Charité - Universitätsmedizin Berlin, Department of Paediatric Endocrinology and Diabetes, Berlin, Germany
| | - Jessica Schmidt-Herzel
- Charité - Universitätsmedizin Berlin, Department of Paediatric Endocrinology and Diabetes, Berlin, Germany
| | | | - Axel Thieffry
- Novo Nordisk Center for Biosustainability, Technical University of Denmark, Copenhagen, Denmark
| | | | | | - Klemens Raile
- Charité - Universitätsmedizin Berlin, Department of Paediatric Endocrinology and Diabetes, Berlin, Germany
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8
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Nauck MA, Lindmeyer AM, Mathieu C, Meier JJ. Twenty-Four Hour Fasting (Basal Rate) Tests to Achieve Custom-Tailored, Hour-by-Hour Basal Insulin Infusion Rates in Patients With Type 1 Diabetes Using Insulin Pumps (CSII). J Diabetes Sci Technol 2021; 15:360-370. [PMID: 31633384 PMCID: PMC8256064 DOI: 10.1177/1932296819882752] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Twenty-four hour fasting periods are being used to scrutinize basal insulin infusion rates for pump-treated patients with type 1 diabetes. METHODS Data from 339 consecutive in-patients with adult type 1 diabetes on insulin pump therapy undergoing a 24-hour fast as a basal rate test were retrospectively analyzed. Hourly programmed basal insulin infusion rates and plasma glucose concentrations within, below, or above arbitrarily defined target ranges were assessed for periods of the day of special interest (eg, 01:00-07:00 am, "dawn" period, 04:00-07:00 pm, and "dusk" period). Statistics: χ2-tests, paired t-tests were used. RESULTS Basal rates (mean: 0.90 ± 0.02 IU/h) showed circadian variations with peaks corresponding to "dawn" (1.07 ± 0.02 IU/h from 01:00 to 07:00 am) and, less prominently, "dusk" (0.95 ± 0.02 IU/h from 03:00 to 07:00 pm). Individual mean plasma glucose concentrations averaged 6.6 ± 0.1 mmol/L, with 53.1% in the predefined "strict" (4.4-7.2 mmol/L) target range. Interestingly, during the "dawn" period, plasma glucose was significantly higher (by 0.5 ± 0.1 mmol/L [95% confidence interval: 0.3-0.8 mmol/L; P < .0001]) and the odds ratio for hypoglycemia was significantly lower compared to the reference period. INTERPRETATION Twenty-four hour fasting periods as basal rate tests frequently unravel periods with inappropriate basal insulin infusion rates potentially responsible for fasting hyper- or hypoglycemia. Notably, the higher basal insulin infusion rate found during the "dawn" period seems to be justified and may need to be accentuated.
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Affiliation(s)
- Michael A. Nauck
- Diabeteszentrum Bad Lauterberg,
Germany
- Diabetes Division, St. Josef-Hospital,
Klinikum der Ruhr-Universität Bochum, Germany
- Michael A. Nauck, MD, Diabetes Division, St.
Josef-Hospital, Ruhr University Bochum, Gudrunstr. 56, Bochum NRW 44791,
Germany.
| | - Anna M. Lindmeyer
- Diabetes Division, St. Josef-Hospital,
Klinikum der Ruhr-Universität Bochum, Germany
| | | | - Juris J. Meier
- Diabetes Division, St. Josef-Hospital,
Klinikum der Ruhr-Universität Bochum, Germany
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9
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Smith MB, Albanese-O'Neill A, Yao Y, Wilkie DJ, Haller MJ, Keenan GM. Feasibility of the Web-Based Intervention Designed to Educate and Improve Adherence Through Learning to Use Continuous Glucose Monitor (IDEAL CGM) Training and Follow-Up Support Intervention: Randomized Controlled Pilot Study. JMIR Diabetes 2021; 6:e15410. [PMID: 33560234 PMCID: PMC7902192 DOI: 10.2196/15410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 07/11/2020] [Accepted: 07/23/2020] [Indexed: 01/29/2023] Open
Abstract
Background Proper training and follow-up for patients new to continuous glucose monitor (CGM) use are required to maintain adherence and achieve diabetes-related outcomes. However, CGM training is hampered by the lack of evidence-based standards and poor reimbursement. We hypothesized that web-based CGM training and education would be effective and could be provided with minimal burden to the health care team. Objective The aim of this study was to perform a pilot feasibility study testing a theory-driven, web-based intervention designed to provide extended training and follow-up support to adolescents and young adults newly implementing CGM and to describe CGM adherence, glycemic control, and CGM-specific psychosocial measures before and after the intervention. Methods The “Intervention Designed to Educate and improve Adherence through Learning to use CGM (IDEAL CGM)” web-based training intervention was based on supporting literature and theoretical concepts adapted from the health belief model and social cognitive theory. Patients new to CGM, who were aged 15-24 years with type 1 diabetes for more than 6 months were recruited from within a public university’s endocrinology clinic. Participants were randomized to enhanced standard care or enhanced standard care plus the IDEAL CGM intervention using a 1:3 randomization scheme. Hemoglobin A1c levels and psychosocial measures were assessed at baseline and 3 months after start of the intervention. Results Ten eligible subjects were approached for recruitment and 8 were randomized. Within the IDEAL CGM group, 4 of the 6 participants received exposure to the web-based training. Half of the participants completed at least 5 of the 7 modules; however, dosage of the intervention and level of engagement varied widely among the participants. This study provided proof of concept for use of a web-based intervention to deliver follow-up CGM training and support. However, revisions to the intervention are needed in order to improve engagement and determine feasibility. Conclusions This pilot study underscores the importance of continued research efforts to optimize the use of web-based intervention tools for their potential to improve adherence and glycemic control and the psychosocial impact of the use of diabetes technologies without adding significant burden to the health care team. Enhancements should be made to the intervention to increase engagement, maximize responsiveness, and ensure attainment of the skills necessary to achieve consistent use and improvements in glycemic control prior to the design of a larger well-powered clinical trial to establish feasibility. Trial Registration ClinicalTrials.gov NCT03367351, https://clinicaltrials.gov/ct2/show/NCT03367351.
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Affiliation(s)
- Madison B Smith
- College of Nursing, University of Florida, Gainesville, FL, United States
| | | | - Yingwei Yao
- Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, FL, United States
| | - Diana J Wilkie
- Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, FL, United States
| | - Michael J Haller
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Gail M Keenan
- Department of Family, Community and Health Systems Science, College of Nursing, University of Florida, Gainesville, FL, United States
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10
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Galindo RJ, Aleppo G. Continuous glucose monitoring: The achievement of 100 years of innovation in diabetes technology. Diabetes Res Clin Pract 2020; 170:108502. [PMID: 33065179 PMCID: PMC7736459 DOI: 10.1016/j.diabres.2020.108502] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Monitoring of glucose levels is essential to effective diabetes management. Over the past 100 years, there have been numerous innovations in glucose monitoring methods. The most recent advances have centered on continuous glucose monitoring (CGM) technologies. Numerous studies have demonstrated that use of continuous glucose monitoring confers significant glycemic benefits on individuals with type 1 diabetes (T1DM) and type 2 diabetes (T2DM). Ongoing improvements in accuracy and convenience of CGM devices have prompted increasing adoption of this technology. The development of standardized metrics for assessing CGM data has greatly improved and streamlined analysis and interpretation, enabling clinicians and patients to make more informed therapy modifications. However, many clinicians many be unfamiliar with current CGM and how use of these devices may help individuals with T1DM and T2DM achieve their glycemic targets. The purpose of this review is to present an overview of current CGM systems and provide guidance to clinicians for initiating and utilizing CGM in their practice settings.
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Affiliation(s)
- Rodolfo J Galindo
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, 69 Jesse Hill Jr. Dr., Glenn Building, Suite 202, Atlanta, GA, 30303, USA.
| | - Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, 645 N. Michigan Ave, Suite 530, Chicago, IL 60611, USA.
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11
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Heile M, Hollstegge B, Broxterman L, Cai A, Close K. Automated Insulin Delivery: Easy Enough to Use in Primary Care? Clin Diabetes 2020; 38:474-485. [PMID: 33384472 PMCID: PMC7755048 DOI: 10.2337/cd20-0050] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
There are three automated insulin delivery devices on the U.S. market, two of which are currently approved by the U.S. Food and Drug Administration. These systems have already made a significant impact for the people who use them in improving diabetes outcomes, including glycemic control and hypoglycemia prevention. This article aims to help primary care and endocrinology providers better understand the components, differences, limitations, and potential fit of these systems into clinical practice.
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Affiliation(s)
- Michael Heile
- TriHealth Physician Partners–Family Medicine and Diabetology, Cincinnati, OH
| | - Betty Hollstegge
- TriHealth Physician Partners–Family Medicine and Diabetology, Cincinnati, OH
| | - Laura Broxterman
- TriHealth Physician Partners–Family Medicine and Diabetology, Cincinnati, OH
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12
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Stephens AF, Gregory SD, Burrell AJC, Marasco S, Stub D, Salamonsen RF. Physiological principles of Starling-like control of rotary ventricular assist devices. Expert Rev Med Devices 2020; 17:1169-1182. [PMID: 33094673 DOI: 10.1080/17434440.2020.1841631] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Introduction: This review explores the Starling-like physiological control method (SLC) for rotary ventricular assist devices (VADs) for severe heart failure. The SLC, based on mathematical models of the circulation, has two functions modeling each ventricle. The first function controls the output of the VAD to the arterial pool according to Starling's law, while the second function accounts for how the blood returns to the heart from the veins. The article aims to expose clinicians to SLC in an accessible and clinically relevant discussion. Areas Covered: The article explores the physiology underlying the controller, its development and how that physiology can be adapted to SLC. Examples of controller performance are demonstrated and discussed using a benchtop model of the cardiovascular system. A discussion of the limitations and criticisms of SLC is presented, followed by a future outlook on the clinical adoption of SLC. Expert Opinion: Due to its simplicity and emulation of the natural cardiac autoregulation, SLC is the superior physiological control method for rotary VADs. However, current technical and regulatory challenges prevent the clinical translation of SLC of VADs. Further technical and regulatory development will enable the clinical translation of SLCs of VADs in the coming years.
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Affiliation(s)
- Andrew F Stephens
- Department of Mechanical and Aerospace Engineering, Monash University , Melbourne, Australia.,Cardiorespiratory Engineering and Technology Laboratory, Baker Heart and Diabetes Institute , Melbourne, Australia
| | - Shaun D Gregory
- Department of Mechanical and Aerospace Engineering, Monash University , Melbourne, Australia.,Cardiorespiratory Engineering and Technology Laboratory, Baker Heart and Diabetes Institute , Melbourne, Australia
| | | | - Silvana Marasco
- Department of Cardiothoracic Surgery, Alfred Hospital , Melbourne, Australia
| | - Dion Stub
- Cardiorespiratory Engineering and Technology Laboratory, Baker Heart and Diabetes Institute , Melbourne, Australia.,Department of Cardiology, Alfred Hospital , Melbourne, Australia.,Department of Epidemiology and Preventive Medicine, Monash University , Melbourne, Australia
| | - Robert F Salamonsen
- Intensive Care Unit, Alfred Hospital , Melbourne, Australia.,Department of Epidemiology and Preventive Medicine, Monash University , Melbourne, Australia
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13
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Azhar A, Gillani SW, Mohiuddin G, Majeed RA. A systematic review on clinical implication of continuous glucose monitoring in diabetes management. JOURNAL OF PHARMACY AND BIOALLIED SCIENCES 2020; 12:102-111. [PMID: 32742108 PMCID: PMC7373113 DOI: 10.4103/jpbs.jpbs_7_20] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Revised: 01/21/2020] [Accepted: 02/03/2020] [Indexed: 11/04/2022] Open
Abstract
Objective The aim of this systematic review was to evaluate the clinical implications of continuous glucose monitoring (CGM) among patients with diabetes mellitus using variables that include glycated hemoglobin (HbA1c), estimated A1c, glucose variability, and users' perspectives. Materials and Methods This study analyzed 17 articles that were identified and studied according to the research question criteria. PRISMA guidelines were used for identification and screening of the literature. The required data were searched using Medscape, PubMed, PROSPERO, Wiley Library, Scopus, Clinical Trial Registry, and Trip. Results The articles reviewed were on the use of CGM in type 1 and type 2 diabetes mellitus, which showed significant improvement in the levels of HbA1c as compared to non-CGM. The application of CGM on acute sudden onset type of adverse drug reactions (i.e., hypoglycemia) is better than fasting blood sugar or self-monitoring of blood glucose or capillary blood glucose (random blood glucose monitoring). CGM is beneficial for use in patients with type 2 diabetes mellitus including elderly patients as it gives information regarding glucose variability as well as HbA1c levels. The health-care providers require full spectrum of patients' CGM data to design a better therapeutic plan. However, the patients experienced inconvenience on wearing the device on the body for longer periods. The findings also stated the fact that more education and training is required for the patients to interpret their own glycemic data using CGM and modify their lifestyle accordingly. Use of CGM along with HbA1c has also been used to achieve better glycemic results and it allows the health care professional to guide patients in terms of their glucose level; whether they are hypoglycemic or hyperglycemic, however its use has some controversies that minimize its application. Conclusion The study concluded that CGM has significant potential in the management of not only patients with type 1 diabetes mellitus but also patients with type 2 diabetes mellitus in spite of the few limitations that are being improvised in the upcoming years. However, limited literature of CGM among patients with type 2 diabetes mellitus and pregnant women reduces the practice scope.
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Affiliation(s)
- Anam Azhar
- Department of Pharmacy Practice, College of Pharmacy, Gulf Medical University, Ajman, UAE
| | - Syed W Gillani
- Department of Pharmacy Practice, College of Pharmacy, Gulf Medical University, Ajman, UAE
| | - Ghasna Mohiuddin
- Department of Pharmacy Practice, College of Pharmacy, Gulf Medical University, Ajman, UAE
| | - Rukhsar A Majeed
- Department of Pharmacy Practice, College of Pharmacy, Gulf Medical University, Ajman, UAE
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14
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Moorman JM. Part I: Continuous glucose monitoring systems. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2020. [DOI: 10.1002/jac5.1260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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15
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Moorman JM. Part
II
: Subcutaneous insulin infusion devices. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2020. [DOI: 10.1002/jac5.1261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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16
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Tweden KS, Deiss D, Rastogi R, Addaguduru S, Kaufman FR. Longitudinal Analysis of Real-World Performance of an Implantable Continuous Glucose Sensor over Multiple Sensor Insertion and Removal Cycles. Diabetes Technol Ther 2020; 22:422-427. [PMID: 31697182 PMCID: PMC7196365 DOI: 10.1089/dia.2019.0342] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The Eversense® Continuous Glucose Monitoring (CGM) System, with the first long-term, implantable glucose sensor, has been commercially available in Europe and South Africa since 2016 for adults with diabetes. The performance of the sensor over multiple, sequential 90- or 180-day cycles from either real-world experience or clinical studies has not been previously published. The Eversense Data Management System (DMS) was used to evaluate the accuracy of General Data Protection Regulation (GDPR)-compliant sensor glucose (SG) values against self-monitoring of blood glucose (SMBG) from June 2016 through August 2019 among patients with at least four sensor cycles from European and South African health care practices. Mean SG and associated measures of variability, glucose management indicator (GMI), and percent and time in various hypoglycemic, euglycemic, and hyperglycemic ranges were calculated for the 24-h time period over each cycle. In addition, transmitter wear time was evaluated across each sensor wear cycle. Among the 945 users included in the analysis, the mean absolute relative difference (standard deviation [SD]) using 152,206, 174,645, 206,024, and 172,587 calibration matched pairs against SMBG was 11.9% (3.6%), 11.5% (4.0%), 11.8% (4.7%), and 11.5% (4.1%) during the first four sensor cycles, respectively. Mean values of the CGM metrics over the first sensor cycle were 156.5 mg/dL for SG, 54.7 mg/dL for SD, 0.35 for coefficient of variation, and 7.04% for GMI. Percent SG at different glycemic ranges was as follows: <54 mg/dL was 1.1% (16 min), <70 mg/dL was 4.6% (66 min), ≥70-180 mg/dL (time in range) was 64.5% (929 min), >180-250 mg/dL was 22.8% (328 min), and >250 mg/dL was 8.1% (117 min). The median transmitter wear time over the first cycle was 83.2%. CGM metrics and wear time were similar over the subsequent three cycles. This real-world evaluation of adult patients with diabetes using the Eversense CGM System in the home setting demonstrated that the implantable sensor provides consistent stable accuracy and CGM metrics over multiple, sequential sensor cycles with no indication of degradation of sensor performance.
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Affiliation(s)
| | - Dorothee Deiss
- Center for Endocrinology and Diabetology, Medicover Berlin-Mitte, Berlin, Germany
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17
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Manning ML, Singh H, Stoner K, Habif S. The Development and Psychometric Validation of the Diabetes Impact and Device Satisfaction Scale for Individuals with Type 1 Diabetes. J Diabetes Sci Technol 2020; 14:309-317. [PMID: 32028790 PMCID: PMC7196859 DOI: 10.1177/1932296819897976] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND With the rapid development of new insulin delivery technology, measuring patient experience has become especially pertinent. The current study reports on item development, psychometric validation, and intended use of the newly developed Diabetes Impact and Device Satisfaction (DIDS) Scale. METHOD The DIDS Scale was informed by a comprehensive literature review, and field tested as part of two focus groups. The finalized measure was used at baseline and 6 months post-assessment with a large US cohort. Exploratory factor analyses (EFAs) were conducted to determine and confirm factor structure and item selection. Internal reliability, test-retest reliability, and convergent/divergent validity of the emerged factors were tested with demographics, diabetes-specific information, and diabetes behavioral and satisfaction measures. RESULTS In all, 778 participants with type 1 diabetes (66% female, mean age 47.13 ± 17.76 years, 74% insulin pump users) completed surveys at both baseline and post-assessment. EFA highlighted two factors-Device Satisfaction (seven items, Cronbach's α = 0.85-0.90) and Diabetes Impact (four items, Cronbach's α = 0.71-0.75). DIDS Scale demonstrated good concurrent validity and test-retest reliability. CONCLUSION The DIDS Scale is a novel and a brief assessment tool with robust psychometric properties. It is recommended for use across all insulin delivery devices and is considered appropriate for use in longitudinal studies. Future studies are recommended to evaluate the performance of DIDS Scale in diverse populations with diabetes.
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Affiliation(s)
| | | | | | - Steph Habif
- Tandem Diabetes Care, San Diego, CA,
USA
- Steph Habif, EdD, MS, Tandem Diabetes Care,
10935 Vista Sorrento Pkwy, San Diego, CA 92121, USA.
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18
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Messer LH, Berget C, Vigers T, Pyle L, Geno C, Wadwa RP, Driscoll KA, Forlenza GP. Real world hybrid closed-loop discontinuation: Predictors and perceptions of youth discontinuing the 670G system in the first 6 months. Pediatr Diabetes 2020; 21:319-327. [PMID: 31885123 PMCID: PMC7204392 DOI: 10.1111/pedi.12971] [Citation(s) in RCA: 105] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 12/23/2019] [Accepted: 12/23/2019] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE To describe predictors of hybrid closed loop (HCL) discontinuation and perceived barriers to use in youth with type 1 diabetes. SUBJECTS Youth with type 1 diabetes (eligible age 2-25 y; recruited age 8-25 y) who initiated the Minimed 670G HCL system were followed prospectively for 6 mo in an observational study. RESEARCH DESIGN AND METHODS Demographic, glycemic (time-in-range, HbA1c), and psychosocial variables [Hypoglycemia Fear Survey (HFS); Problem Areas in Diabetes (PAID)] were collected for all participants. Participants who discontinued HCL (<10% HCL use at clinical visit) completed a questionnaire on perceived barriers to HCL use. RESULTS Ninety-two youth (15.7 ± 3.6 y, HbA1c 8.8 ± 1.3%, 50% female) initiated HCL, and 28 (30%) discontinued HCL, with the majority (64%) discontinuing between 3 and 6 mo after HCL start. Baseline HbA1c predicted discontinuation (P = .026) with the odds of discontinuing 2.7 times higher (95% CI: 1.123, 6.283) for each 1% increase in baseline HbA1c. Youth who discontinued HCL rated difficulty with calibrations, number of alarms, and too much time needed to make the system work as the most problematic aspects of HCL. Qualitatively derived themes included technological difficulties (error alerts, not working correctly), too much work (calibrations, fingersticks), alarms, disappointment in glycemic control, and expense (cited by parents). CONCLUSIONS Youth with higher HbA1c are at greater risk for discontinuing HCL than youth with lower HbA1c, and should be the target of new interventions to support device use. The primary reasons for discontinuing HCL relate to the workload required to use HCL.
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Affiliation(s)
- Laurel H. Messer
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Denver, Denver, CO, USA
| | - Cari Berget
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Denver, Denver, CO, USA
| | - Tim Vigers
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Denver, Denver, CO, USA,Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA
| | - Laura Pyle
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Denver, Denver, CO, USA,Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA
| | - Cristy Geno
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Denver, Denver, CO, USA
| | - R. Paul Wadwa
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Denver, Denver, CO, USA
| | - Kimberly A. Driscoll
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Denver, Denver, CO, USA,Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Gregory P. Forlenza
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Denver, Denver, CO, USA
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19
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Kravarusic J, Aleppo G. Diabetes Technology Use in Adults with Type 1 and Type 2 Diabetes. Endocrinol Metab Clin North Am 2020; 49:37-55. [PMID: 31980120 DOI: 10.1016/j.ecl.2019.10.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In the last 2 decades, diabetes technology has emerged as a branch of diabetes management thanks to the advent of continuous glucose monitoring (CGM) and increased availability of continuous subcutaneous insulin infusion systems, or insulin pumps. These tools have progressed from rudimentary instruments to sophisticated therapeutic options for advanced diabetes management. This article discusses the available CGM and insulin pump systems and the clinical benefits of their use in adults with type 1 diabetes, intensively insulin-treated type 2 diabetes, and pregnant patients with preexisting diabetes.
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Affiliation(s)
- Jelena Kravarusic
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, 645 North Michigan Avenue, Suite 530, Chicago, IL 60611, USA
| | - Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, 645 North Michigan Avenue, Suite 530, Chicago, IL 60611, USA.
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20
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Lombardo F, Passanisi S, Caminiti L, Barbalace A, Marino A, Iannelli M, Messina MF, Pajno GB, Salzano G. High Prevalence of Skin Reactions Among Pediatric Patients with Type 1 Diabetes Using New Technologies: The Alarming Role of Colophonium. Diabetes Technol Ther 2020; 22:53-56. [PMID: 31464516 DOI: 10.1089/dia.2019.0236] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
In the past few years, the increasing use of devices for diabetes treatment, such as continuous subcutaneous insulin infusion pumps, flash glucose monitoring, continuous glucose monitoring systems, sensor-augmented pumps, and automated insulin delivery devices, has resulted in important improvements in disease management. Meanwhile, the longer a patient uses a device, the greater the likelihood of developing a skin reaction. Allergic contact dermatitis is the most frequently described skin side effect caused by adhesive tapes contained in the insulin infusion sets or glucose sensor sets and used to connect these devices to the body. We describe 18 patients, followed up at our Pediatric Diabetes Centre, who experienced dermatological complications due to diabetes device use from January 2018 to December 2018. All the patients were patch tested with allergens from a "standard" series and from a "plastics and glues" series. Patch tests resulted positive in 66.7% of patients. Colophonium was the most frequently isolated sensitizing allergen (41.1% of cases). It is a complex mixture of >100 compounds derived from pine trees. Colophonium is commonly used, in both unmodified and modified forms, as a fast-acting adhesive for industrial, medical, or other commercial uses. Its presence in the adhesive of the insulin sets and glucose sensors was confirmed by the manufacturer of some devices brand. On the basis of our results, we stress the importance of contacting manufacturers for product information. We also highlight that there should be stricter legal restrictions to label medical adhesives, even if only small amounts of colophonium are used.
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Affiliation(s)
- Fortunato Lombardo
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
| | - Stefano Passanisi
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
| | - Lucia Caminiti
- Allergy Unit, Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
| | - Andrea Barbalace
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
| | - Alessandra Marino
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
| | - Mauro Iannelli
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
| | - Maria Francesca Messina
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
| | - Giovanni Battista Pajno
- Allergy Unit, Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
| | - Giuseppina Salzano
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi," University of Messina, Messina, Italy
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21
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Grando MA, Bayuk M, Karway G, Corrette K, Groat D, Cook CB, Thompson B. Patient Perception and Satisfaction With Insulin Pump System: Pilot User Experience Survey. J Diabetes Sci Technol 2019; 13:1142-1148. [PMID: 31055947 PMCID: PMC6835185 DOI: 10.1177/1932296819843146] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The goal of this study was to assess patient perspectives and satisfaction with the MiniMed 670G insulin pump. Those participants who used the pump as part of a hybrid closed loop were also asked to provide their views on the automatic feature (auto mode). METHODS Adults with type 1 diabetes mellitus using the Medtronic™ 670G pump were asked about their experience with the device using a semi-structured survey developed by the research team. Responses were quantified to identify emergent themes. RESULTS Seventeen participants used the pump as part of a hybrid closed loop system, while four participants used the pump in combination with a nonintegrated continuous glucose monitoring system. Overall, participants indicated a high level of satisfaction with the pump (14/21) mostly because of improvements in blood glucose (BG) control (15/21). Least liked features were physical design and structure (6/21), frequency of user input (5/21), alert frequency (4/21), and difficulty of use (3/21). Those using the hybrid closed loop were satisfied with the auto mode feature (11/17), mostly because of improvements in BG control (9/17). The least liked features of the auto mode technology were that blood glucose levels remained elevated (5/17) and the frequency of alerts (4/17). CONCLUSION Participants indicated a high level of satisfaction with the pump and its auto mode featured mostly because of improvements in BG control. They also pointed out some key aspects of the device that are of potential clinical or commercial relevance. Additional research is needed to further evaluate users' perspectives on this new device.
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Affiliation(s)
- Maria Adela Grando
- Biomedical Informatics, College of Health Solutions, Arizona State University, Scottsdale, AZ, USA
- Maria Adela Grando, PhD, Biomedical Informatics, College of Health Solutions, Arizona State University, 13212 E Shea Blvd, Scottsdale, AZ 85259, USA.
| | - Mike Bayuk
- Biomedical Informatics, College of Health Solutions, Arizona State University, Scottsdale, AZ, USA
| | - George Karway
- Biomedical Informatics, College of Health Solutions, Arizona State University, Scottsdale, AZ, USA
| | - Krystal Corrette
- Biomedical Informatics, College of Health Solutions, Arizona State University, Scottsdale, AZ, USA
| | - Danielle Groat
- Biomedical Informatics, College of Health Solutions, Arizona State University, Scottsdale, AZ, USA
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Curtiss B. Cook
- Department of Endocrinology, Arizona Mayo Clinic, Scottsdale, AZ, USA
| | - Bithika Thompson
- Department of Endocrinology, Arizona Mayo Clinic, Scottsdale, AZ, USA
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22
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Smith MB, Albanese-O'Neill A, Macieira TGR, Yao Y, Abbatematteo JM, Lyon D, Wilkie DJ, Haller MJ, Keenan GM. Human Factors Associated with Continuous Glucose Monitor Use in Patients with Diabetes: A Systematic Review. Diabetes Technol Ther 2019; 21:589-601. [PMID: 31335196 DOI: 10.1089/dia.2019.0136] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Consistent continuous glucose monitor (CGM) use is associated with substantial improvements in glycemic control, yet the uptake and continued use of these technologies remains low. This systematic review aims to identify and summarize the state of science on human factors and their association with CGM use to inform training methods and best practices that support adherence to CGM use and automated insulin delivery systems. A literature search was conducted in PubMed, CINAHL, The Cochrane Library, and PsychInfo databases using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to identify studies that reported psychological human factors related to CGM or sensor-augmented pump use in patients with type 1 diabetes. In total, 389 records were identified through our database search and 26 studies published between 2010 and 2017 were included. Articles underwent quality appraisal using the Effective Public Health Practice Project Quality Assessment Tool and were categorized according to study outcomes. Identified human factors with a potential association with CGM use were treatment satisfaction, quality of life, emotional distress, and self-efficacy. Eight patient-reported barriers to CGM use were identified as a subcomponent of satisfaction. To date, studies of human factors associated with CGM use generally lack standardized measures and sufficient methodological rigor necessary to establish causation. A more robust understanding of how identified human factors influence CGM use is necessary. Future studies should test interventions that target human factors to improve consistency of use and establish best practices for enhancing patients' experience and acceptance of these technologies, especially within adolescents and young adults.
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Affiliation(s)
- Madison B Smith
- PhD Program, College of Nursing, University of Florida, Gainesville, Florida
| | | | - Tamara G R Macieira
- PhD Program, College of Nursing, University of Florida, Gainesville, Florida
| | - Yingwei Yao
- Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, Florida
| | | | - Debra Lyon
- Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, Florida
| | - Diana J Wilkie
- Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, Florida
| | - Michael J Haller
- Division of Pediatric Endocrinology, College of Medicine, University of Florida, Gainesville, Florida
| | - Gail M Keenan
- Department of Family, Community, and Health System Science, College of Nursing, University of Florida, Gainesville, Florida
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23
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Schütz-Fuhrmann I, Stadler M, Zlamal-Fortunat S, Rami-Merhar B, Fröhlich-Reiterer E, Hofer SE, Mader J, Resl M, Bischof M, Kautzky-Willer A, Weitgasser R. [Insulin pump therapy in children, adolescents and adults, guidelines (Update 2019)]. Wien Klin Wochenschr 2019; 131:47-53. [PMID: 30980146 DOI: 10.1007/s00508-019-1485-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
This position statement is based on current evidence available on the safety and benefits of continuous subcutaneous insulin infusion therapy (CSII, pump therapy) in diabetes with an emphasis on the effects of CSII on glycemic control, hypoglycaemia rates, occurrence of ketoacidosis, quality of life and the use of insulin pump therapy in pregnancy. The current article represents the recommendations of the Austrian Diabetes Association for the clinical praxis of insulin pump treatment in children, adolescents and adults.
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Affiliation(s)
- Ingrid Schütz-Fuhrmann
- 3. Medizinische Abteilung mit Stoffwechselerkrankungen und Nephrologie, Krankenhaus Hietzing, Wolkersbergenstraße 1, 1130, Wien, Österreich.
| | - Marietta Stadler
- Diabetes Research Group, King's College London, London, Großbritannien
| | - Sandra Zlamal-Fortunat
- Abteilung für Innere Medizin und Gastroenterologie, Klinikum Klagenfurt, Klagenfurt am Wörthersee, Österreich
| | - Birgit Rami-Merhar
- Universitätsklinik für Kinder- und Jugendheilkunde, Medizinische Universität Wien, Wien, Österreich
| | - Elke Fröhlich-Reiterer
- Universitätsklinik für Kinder- und Jugendheilkunde, Medizinische Universität Graz, Graz, Österreich
| | - Sabine E Hofer
- Department für Pädiatrie 1, Medizinische Universität Innsbruck, Innsbruck, Österreich
| | - Julia Mader
- Klinische Abteilung für Endokrinologie und Diabetologie, Universitätsklinik für Innere Medizin, Medizinische Universität Graz, Graz, Österreich
| | - Michael Resl
- Abteilung für Innere Medizin I, Konventhospital der Barmherzigen Brüder Linz, Linz, Österreich
| | | | - Alexandra Kautzky-Willer
- Gender Medicine Unit, Klinische Abteilung für Endokrinologie und Stoffwechsel, Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Wien, Österreich
| | - Raimund Weitgasser
- Abteilung für Innere Medizin, Privatklinik Wehrle-Diakonissen, Salzburg, Österreich.,Universitätsklinik für Innere Medizin I, LKH Salzburg - Universitätsklinikum der Paracelsus Medizinischen Privatuniversität, Salzburg, Österreich
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24
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Choudhary P, de Portu S, Arrieta A, Castañeda J, Campbell FM. Use of sensor-integrated pump therapy to reduce hypoglycaemia in people with Type 1 diabetes: a real-world study in the UK. Diabet Med 2019; 36:1100-1108. [PMID: 31134668 DOI: 10.1111/dme.14043] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/25/2019] [Indexed: 01/04/2023]
Abstract
AIMS To assess the efficacy of insulin pumps with automated insulin suspension systems in a real-world setting. METHODS We analysed anonymized data uploaded to CareLink™ by people (n=920) with Type 1 diabetes using the MiniMed Paradigm Veo system and the MiniMed 640G system (Medtronic International Trading Sàrl, Tolochanez, Switzerland) with SmartGuard technology, with or without automated insulin suspension enabled, between February 2016 and June 2018. Users with ≥15 days of sensor data and ≥70% sensor-wear time were classified as sensor-augmented pump alone, sensor-integrated pump with low glucose suspend enabled or sensor-integrated pump with predictive low glucose management enabled. RESULTS The median (25th -75th percentile) system use was 161 (58-348) days. The median time spent with sensor glucose values ≤3 mmol/l was 0.8 (0.3-1.7)% in the sensor-augmented pump group, 0.3 (0.1-0.7)% in the sensor-integrated pump with low glucose suspend group, and 0.3 (0.1-0.5)% in the sensor-integrated pump with predictive low glucose management group. In individuals switching from sensor-augmented pump to sensor-integrated pump with low glucose suspend (n=31), there were significant reductions in the monthly rate of hypoglycaemic events <3 mmol/l (rate ratio 0.63, 95% CI 0.45-0.89; P=0.009) and in the percentage of time with glucose values ≤3 mmol/l [sensor-augmented pump: 0.63% (95% CI 0.34-1.29), sensor-integrated pump with low glucose suspend: 0.33% (95% CI 0.16-0.64); P=0.001]. The monthly rate of hypoglycaemic events decreased further in individuals (n=139) switching from sensor-integrated pump with low glucose suspend to sensor-integrated pump with predictive low glucose management [rate ratio 0.82 (95% CI 0.69-0.98); P<0.0274]. Similar results were seen for events <3.9 mmol/l. There was no difference in median time spent in target glucose range. CONCLUSION Real-world UK data show that increasing automation of insulin suspension reduces hypoglycaemia exposure in people with Type 1 diabetes.
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Affiliation(s)
- P Choudhary
- King's College London, School of Life Course Sciences, London, UK
| | - S de Portu
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | - A Arrieta
- Medtronic, Bakken Research Centre, Maastricht, The Netherlands
| | - J Castañeda
- Medtronic, Bakken Research Centre, Maastricht, The Netherlands
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25
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Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Nørgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care 2019. [PMID: 31177185 DOI: 10.2337/dci19‐0028] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in routine clinical practice remains relatively low. This may be due in part to the lack of clear and agreed-upon glycemic targets that both diabetes teams and people with diabetes can work toward. Although unified recommendations for use of key CGM metrics have been established in three separate peer-reviewed articles, formal adoption by diabetes professional organizations and guidance in the practical application of these metrics in clinical practice have been lacking. In February 2019, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address this issue. This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.
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Affiliation(s)
- Tadej Battelino
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Slovenia
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | | | | | - Roy Beck
- Jaeb Center for Health Research, Tampa, FL
| | - Torben Biester
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Emanuele Bosi
- Diabetes Research Institute, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Bruce A Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford Medical Center, Stanford, CA
| | | | - Kelly L Close
- Close Concerns and The diaTribe Foundation, San Francisco, CA
| | - Claudio Cobelli
- Department of Information Engineering, University of Padova, Padua, Italy
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
| | - J Hans DeVries
- Profil, Neuss, Germany
- Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Kim C Donaghue
- Children's Hospital at Westmead, University of Sydney, Sydney, Australia
| | - Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Slovenia
| | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
| | - Satish Garg
- University of Colorado Denver and Barbara Davis Center for Diabetes, Aurora, CO
| | | | - Simon Heller
- Academic Unit of Diabetes, Endocrinology and Metabolism, University of Sheffield, Sheffield, U.K
| | | | - Irl B Hirsch
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, and Department of Paediatrics, University of Cambridge, Cambridge, U.K
| | - Weiping Jia
- Department of Endocrinology & Metabolism, Shanghai Clinical Center of Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Olga Kordonouri
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Boris Kovatchev
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA
| | | | - Lori Laffel
- Pediatric, Adolescent and Young Adult Section and Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA
| | - Brian Levine
- Close Concerns and The diaTribe Foundation, San Francisco, CA
| | | | - Chantal Mathieu
- Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Helen R Murphy
- Norwich Medical School, University of East Anglia, Norwich, U.K
| | - Revital Nimri
- Jesse Z and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | | | | | - Eric Renard
- Department of Endocrinology, Diabetes, and Nutrition, Montpellier University Hospital; Institute of Functional Genomics, University of Montpellier; and INSERM Clinical Investigation Centre, Montpellier, France
| | | | | | - Desmond Schatz
- Pediatric Endocrinology, University of Florida, Gainesville, FL
| | | | - Tatsuiko Urakami
- Department of Pediatrics, Nihon University School of Medicine, Tokyo, Japan
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Moshe Phillip
- Jesse Z and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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26
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Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Nørgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care 2019; 42:1593-1603. [PMID: 31177185 PMCID: PMC6973648 DOI: 10.2337/dci19-0028] [Citation(s) in RCA: 1825] [Impact Index Per Article: 365.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in routine clinical practice remains relatively low. This may be due in part to the lack of clear and agreed-upon glycemic targets that both diabetes teams and people with diabetes can work toward. Although unified recommendations for use of key CGM metrics have been established in three separate peer-reviewed articles, formal adoption by diabetes professional organizations and guidance in the practical application of these metrics in clinical practice have been lacking. In February 2019, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address this issue. This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.
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Affiliation(s)
- Tadej Battelino
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Slovenia
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | | | | | - Roy Beck
- Jaeb Center for Health Research, Tampa, FL
| | - Torben Biester
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Emanuele Bosi
- Diabetes Research Institute, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Bruce A Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford Medical Center, Stanford, CA
| | | | - Kelly L Close
- Close Concerns and The diaTribe Foundation, San Francisco, CA
| | - Claudio Cobelli
- Department of Information Engineering, University of Padova, Padua, Italy
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
| | - J Hans DeVries
- Profil, Neuss, Germany.,Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Kim C Donaghue
- Children's Hospital at Westmead, University of Sydney, Sydney, Australia
| | - Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Slovenia
| | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
| | - Satish Garg
- University of Colorado Denver and Barbara Davis Center for Diabetes, Aurora, CO
| | | | - Simon Heller
- Academic Unit of Diabetes, Endocrinology and Metabolism, University of Sheffield, Sheffield, U.K
| | | | - Irl B Hirsch
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, and Department of Paediatrics, University of Cambridge, Cambridge, U.K
| | - Weiping Jia
- Department of Endocrinology & Metabolism, Shanghai Clinical Center of Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Olga Kordonouri
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Boris Kovatchev
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA
| | | | - Lori Laffel
- Pediatric, Adolescent and Young Adult Section and Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA
| | - Brian Levine
- Close Concerns and The diaTribe Foundation, San Francisco, CA
| | | | - Chantal Mathieu
- Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Helen R Murphy
- Norwich Medical School, University of East Anglia, Norwich, U.K
| | - Revital Nimri
- Jesse Z and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | | | | | - Eric Renard
- Department of Endocrinology, Diabetes, and Nutrition, Montpellier University Hospital; Institute of Functional Genomics, University of Montpellier; and INSERM Clinical Investigation Centre, Montpellier, France
| | | | | | - Desmond Schatz
- Pediatric Endocrinology, University of Florida, Gainesville, FL
| | | | - Tatsuiko Urakami
- Department of Pediatrics, Nihon University School of Medicine, Tokyo, Japan
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Moshe Phillip
- Jesse Z and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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27
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Lefkovits Y, Stewart Z, Murphy H. Using the Novel Approach of an Artificial Pancreas to Manage Type 1 Diabetes Mellitus in Pregnancy. EUROPEAN MEDICAL JOURNAL 2019. [DOI: 10.33590/emj/10312967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Recent National Institute for Health and Care Excellence (NICE) guidelines suggest that insulin pump therapy should be used in pregnant women with Type 1 diabetes mellitus (T1DM) who do not achieve optimal glycaemic control with multiple daily injection (MDI) therapy. Furthermore, a landmark trial has confirmed that prospective continuous glucose monitoring (CGM) may be beneficial for women using both MDI and insulin pumps during pregnancy, with positive effects on neonatal outcomes. More recently, overnight use of an artificial pancreas (AP) with a model-predictive control algorithm has been shown to improve the amount of time women spend within the overnight glucose target range (3.5–7.8 mmol/L) during pregnancy. However, preliminary studies where the AP is used day and night have shown a high degree of interindividual variability in response to the intervention, and further randomised trials are needed to understand which women are suitable candidates for CGM, insulin pump, and AP technology. It is understood that improvements in maternal glycaemic control can minimise the risk of adverse neonatal outcomes. Given the substantial improvements in glycaemic control with AP use outside of pregnancy, the recent advances in AP technology provide hope that AP systems will improve the effectiveness of continuous subcutaneous insulin infusion and CGM during pregnancy. Further research is needed to evaluate whether AP can optimise glucose control and neonatal outcomes in T1DM pregnancy. This paper will discuss emerging technologies available for the management of T1DM in pregnancy.
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Affiliation(s)
- Yael Lefkovits
- Monash University, Melbourne, Australia; University of Cambridge, Cambridge, UK
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28
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Novel ambulatory glucose-sensing technology improves hypoglycemia detection and patient monitoring adherence in children and adolescents with type 1 diabetes. J Diabetes Metab Disord 2019; 18:1-6. [PMID: 31275868 DOI: 10.1007/s40200-018-0351-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 08/14/2018] [Indexed: 01/14/2023]
Abstract
Purpose Glucose monitoring [GM] is a mainstay of diabetes control and management. Improving glycemic control is essential to prevent microvascular complications. However, adherence to GM can be a challenge in children and adolescents. Detecting hypoglycemia is essential for its prevention and treatment. We aim to study the impact of the flash ambulatory glucose monitoring in detecting hypoglycemia and enhancing adherence in children and adolescents with type 1 diabetes. Methods The study is prospective involving 3 hospital visits. Children and adolescents with diabetes were enrolled in the study which involved a period on conventional glucose self-monitoring [glucometers] followed by a similar period of monitoring using the flash glucose monitoring device (FreeStyle Libre). Frequency of GM, duration and frequency of hypoglycemia were compared on conventional and the flash monitoring. Results 75 subjects were studied. Age mean (range) was 11.9 years (2-19). Significant difference was seen in hypoglycemia detection between both testing devices. 68 (94%) and 65 (90%) patients detected nocturnal and diurnal hypoglycemia respectively on Flash monitoring compared to 12 (16.6%) and 30 (41%) on glucometer testing (p < 0.00). Mean (range) duration of hypoglycemia was 95 min (15-330). Statistically-significant difference was found between the frequency of GM on glucometer testing compared with Flash monitoring (2.87 and 11.6/day) (p < 0.001). Conclusions Flash monitoring is a useful tool to improve adherence to GM and detecting hypoglycemia [diurnal and nocturnal] in children and adolescents with type 1 diabetes.
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29
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Wood MA, Shulman DI, Forlenza GP, Bode BW, Pinhas-Hamiel O, Buckingham BA, Kaiserman KB, Liljenquist DR, Bailey TS, Shin J, Huang S, Chen X, Cordero TL, Lee SW, Kaufman FR. In-Clinic Evaluation of the MiniMed 670G System "Suspend Before Low" Feature in Children with Type 1 Diabetes. Diabetes Technol Ther 2018; 20:731-737. [PMID: 30299976 DOI: 10.1089/dia.2018.0209] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND The Medtronic predictive low-glucose management (PLGM) algorithm automatically stops insulin delivery when sensor glucose (SG) is predicted to reach or fall below a preset low-glucose value within the next 30 min, and resumes delivery after hypoglycemia recovery. The present study evaluated the PLGM algorithm performance of the MiniMed™ 670G system SmartGuard™ "suspend before low" feature in children aged 7-13 years with type 1 diabetes (T1D). METHOD Participants (N = 105, mean ± standard deviation of 10.8 ± 1.8 years) underwent an overnight in-clinic evaluation of the "suspend before low" feature with a preset low limit of 65 mg/dL. After exercise, frequent sample testing (FST) was conducted every 5 min if values were <70 mg/dL; every 15 min if 70-80 mg/dL; and every 30 min if >80 mg/dL. First-day performance of the Guardian™ Sensor 3 glucose sensor and continuous glucose monitoring system was also evaluated. RESULTS Activation of the "suspend before low" feature occurred in 79 of the 105 participants, 79.7% (63/79) did not result in SG falling below 65 mg/dL. Mean glucose at activation was 102 ± 19 mg/dL and the initial insulin suspension duration was 87.5 ± 32.7 min. Four hours after insulin resumption, mean reference glucose was 130 ± 42 mg/dL. Mean absolute relative difference between the FST reference glucose and SG values on the first day of sensor wear was 11.4%. For the 26 participants in whom the "suspend before low" feature did not activate, none involved a reference glucose value ≤65 mg/dL, suggesting that the PLGM algorithm performed as intended. CONCLUSION In children aged 7-13 years with T1D, the "suspend before low" feature of the MiniMed 670G system demonstrated a hypoglycemia prevention rate of nearly 80% after exercise and did not involve rebound hyperglycemia. There were no events of severe hypoglycemia during the evaluation.
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Affiliation(s)
- Michael A Wood
- 1 Division of Pediatric Endocrinology, University of Michigan Medical School , Ann Arbor, Michigan
| | - Dorothy I Shulman
- 2 USF Diabetes Center, Morsani College of Medicine, University of South Florida , Tampa, Florida
| | | | - Bruce W Bode
- 4 Atlanta Diabetes Associates , Atlanta, Georgia
| | - Orit Pinhas-Hamiel
- 5 Edmond and Lily Safra Children's Hospital, Sheba Medical Center , Tel Aviv, Israel
| | - Bruce A Buckingham
- 6 Department of Pediatric Endocrinology, Stanford University , Stanford, California
| | | | | | | | - John Shin
- 10 Medtronic , Northridge, California
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30
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Sherr JL, Tauschmann M, Battelino T, de Bock M, Forlenza G, Roman R, Hood KK, Maahs DM. ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies. Pediatr Diabetes 2018; 19 Suppl 27:302-325. [PMID: 30039513 DOI: 10.1111/pedi.12731] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 07/10/2018] [Indexed: 12/12/2022] Open
Affiliation(s)
- Jennifer L Sherr
- Department of Pediatrics, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Martin Tauschmann
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.,Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Tadej Battelino
- UMC-University Children's Hospital, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Martin de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Gregory Forlenza
- University of Colorado Denver, Barbara Davis Center, Aurora, Colorado
| | - Rossana Roman
- Medical Sciences Department, University of Antofagasta and Antofagasta Regional Hospital, Antofagasta, Chile
| | - Korey K Hood
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California
| | - David M Maahs
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
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31
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Tauschmann M, Hovorka R. Technology in the management of type 1 diabetes mellitus - current status and future prospects. Nat Rev Endocrinol 2018; 14:464-475. [PMID: 29946127 DOI: 10.1038/s41574-018-0044-y] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Type 1 diabetes mellitus (T1DM) represents 5-10% of diabetes cases worldwide. The incidence of T1DM is increasing, and there is no immediate prospect of a cure. As such, lifelong management is required, the burden of which is being eased by novel treatment modalities, particularly from the field of diabetes technologies. Continuous glucose monitoring has become the standard of care and includes factory-calibrated subcutaneous glucose monitoring and long-term implantable glucose sensing. In addition, considerable progress has been made in technology-enabled glucose-responsive insulin delivery. The first hybrid insulin-only closed-loop system has been commercialized, and other closed-loop systems are under development, including dual-hormone glucose control systems. This Review focuses on well-established diabetes technologies, including glucose sensing, pen-based insulin delivery, data management and data analytics. We also cover insulin pump therapy, threshold-based suspend, predictive low-glucose suspend and single-hormone and dual-hormone closed-loop systems. Clinical practice recommendations for insulin pump therapy and continuous glucose monitoring are presented, and ongoing research and future prospects are highlighted. We conclude that the management of T1DM is improved by diabetes technology for the benefit of the majority of people with T1DM, their caregivers and guardians and health-care professionals treating patients with T1DM.
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Affiliation(s)
- Martin Tauschmann
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
- Department of Paediatrics, University of Cambridge, Cambridge, UK.
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32
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Toffanin C, Visentin R, Messori M, Palma FD, Magni L, Cobelli C. Toward a Run-to-Run Adaptive Artificial Pancreas: In Silico Results. IEEE Trans Biomed Eng 2018; 65:479-488. [DOI: 10.1109/tbme.2017.2652062] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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33
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Christiansen MP, Klaff LJ, Brazg R, Chang AR, Levy CJ, Lam D, Denham DS, Atiee G, Bode BW, Walters SJ, Kelley L, Bailey TS. A Prospective Multicenter Evaluation of the Accuracy of a Novel Implanted Continuous Glucose Sensor: PRECISE II. Diabetes Technol Ther 2018; 20:197-206. [PMID: 29381090 PMCID: PMC5867508 DOI: 10.1089/dia.2017.0142] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Persistent use of real-time continuous glucose monitoring (CGM) improves diabetes control in individuals with type 1 diabetes (T1D) and type 2 diabetes (T2D). METHODS PRECISE II was a nonrandomized, blinded, prospective, single-arm, multicenter study that evaluated the accuracy and safety of the implantable Eversense CGM system among adult participants with T1D and T2D (NCT02647905). The primary endpoint was the mean absolute relative difference (MARD) between paired Eversense and Yellow Springs Instrument (YSI) reference measurements through 90 days postinsertion for reference glucose values from 40 to 400 mg/dL. Additional endpoints included Clarke Error Grid analysis and sensor longevity. The primary safety endpoint was the incidence of device-related or sensor insertion/removal procedure-related serious adverse events (SAEs) through 90 days postinsertion. RESULTS Ninety participants received the CGM system. The overall MARD value against reference glucose values was 8.8% (95% confidence interval: 8.1%-9.3%), which was significantly lower than the prespecified 20% performance goal for accuracy (P < 0.0001). Ninety-three percent of CGM values were within 20/20% of reference values over the total glucose range of 40-400 mg/dL. Clarke Error Grid analysis showed 99.3% of samples in the clinically acceptable error zones A (92.8%) and B (6.5%). Ninety-one percent of sensors were functional through day 90. One related SAE (1.1%) occurred during the study for removal of a sensor. CONCLUSIONS The PRECISE II trial demonstrated that the Eversense CGM system provided accurate glucose readings through the intended 90-day sensor life with a favorable safety profile.
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Affiliation(s)
| | | | - Ronald Brazg
- Rainier Clinical Research Center, Inc., Renton, Washington
| | - Anna R. Chang
- John Muir Physician Network Clinical Research Center, Concord, California
| | - Carol J. Levy
- Department of Medicine, Mount Sinai Diabetes Center, New York, New York
| | - David Lam
- Department of Medicine, Mount Sinai Diabetes Center, New York, New York
| | | | | | | | - Steven J. Walters
- Clinical Sciences and Medical Affairs, Senseonics, Inc., Germantown, Maryland
| | - Lynne Kelley
- Clinical Sciences and Medical Affairs, Senseonics, Inc., Germantown, Maryland
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Erie C, Van Name MA, Weyman K, Weinzimer SA, Finnegan J, Sikes K, Tamborlane WV, Sherr JL. Schooling diabetes: Use of continuous glucose monitoring and remote monitors in the home and school settings. Pediatr Diabetes 2018; 19:92-97. [PMID: 28303678 PMCID: PMC5601025 DOI: 10.1111/pedi.12518] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 02/10/2017] [Accepted: 02/15/2017] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Despite significant advances in type 1 diabetes (T1D) management, achieving targeted glycemic control in pediatric patients remains a struggle. Continuous glucose monitoring (CGM) with remote access holds the promise to address this challenge by allowing caregivers to monitor glucose, even when the child is not directly under their supervision. OBJECTIVE To explore real-time and remote CGM practices in homes and schools, including caregiver expectations regarding this technology. SUBJECTS Parents and daytime caregivers. METHODS Respondents answered an anonymous survey assessing characteristics of CGM use. Cross-sectional data were collected and analyzed using quantitative and qualitative methods. RESULTS Thirty-three parents and 17 daytime caregivers responded. Threshold alerts (alerts when patients reached certain pre-set high or low limits) were used most frequently, followed by rate of change alerts. Most parents and daytime caregivers responded to low- and high-threshold CGM alerts by confirming with a glucose meter prior to treatment; while about one-third endorsed treating lows without a confirmatory test. Most parents expected their child's daytime caregiver to respond to CGM alerts and daytime caregivers felt the parent's expectations of them were reasonable. All parents and most caregivers reported decreased overall worry/stress. Parents felt positive about CGM use and daytime caregivers felt comfortable with CGM. CONCLUSION The positive and collaborative management reported by parents and daytime caregivers sets the stage for CGM to play an important role in the management of children with T1D both in the home and in the school settings.
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Affiliation(s)
- Christine Erie
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida
| | | | - Kate Weyman
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
| | - Jennifer Finnegan
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
| | - Kristin Sikes
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
| | | | - Jennifer L Sherr
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
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Abraham MB, Nicholas JA, Smith GJ, Fairchild JM, King BR, Ambler GR, Cameron FJ, Davis EA, Jones TW. Reduction in Hypoglycemia With the Predictive Low-Glucose Management System: A Long-term Randomized Controlled Trial in Adolescents With Type 1 Diabetes. Diabetes Care 2018; 41:303-310. [PMID: 29191844 DOI: 10.2337/dc17-1604] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 10/31/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Short-term studies with automated systems that suspend basal insulin when hypoglycemia is predicted have shown a reduction in hypoglycemia; however, efficacy and safety have not been established in long-term trials. RESEARCH DESIGN AND METHODS We conducted a 6-month, multicenter, randomized controlled trial in children and adolescents with type 1 diabetes using the Medtronic MiniMed 640G pump with Suspend before low (predictive low-glucose management [PLGM]) compared with sensor-augmented pump therapy (SAPT) alone. The primary outcome was percentage time in hypoglycemia with sensor glucose (SG) <3.5 mmol/L (63 mg/dL). RESULTS In an intent-to-treat analysis of 154 subjects, 74 subjects were randomized to SAPT and 80 subjects to PLGM. At baseline, the time with SG <3.5 mmol/L was 3.0% and 2.8% in the SAPT and PLGM groups, respectively. During the study, PLGM was associated with a reduction in hypoglycemia compared with SAPT (% time SG <3.5 mmol/L: SAPT vs. PLGM, 2.6 vs. 1.5, P < 0.0001). A similar effect was also noted in time with SG <3 mmol/L (P < 0.0001). This reduction was seen both during day and night (P < 0.0001). Hypoglycemic events (SG <3.5 mmol/L for >20 min) also declined with PLGM (SAPT vs. PLGM: events/patient-year 227 vs. 139, P < 0.001). There was no difference in glycated hemoglobin (HbA1c) at 6 months (SAPT 7.6 ± 1.0% vs. PLGM 7.8 ± 0.8%, P = 0.35). No change in quality of life measures was reported by participants/parents in either group. There were no PLGM-related serious adverse events. CONCLUSIONS In children and adolescents with type 1 diabetes, PLGM reduced hypoglycemia without deterioration in glycemic control.
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Affiliation(s)
- Mary B Abraham
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Division of Paediatrics, Medical School, The University of Western Australia, Perth, Australia
| | - Jennifer A Nicholas
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Australia
| | - Grant J Smith
- Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Australia
| | - Janice M Fairchild
- Department of Endocrinology and Diabetes, Women's and Children's Hospital, Adelaide, Australia
| | - Bruce R King
- Department of Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, Australia
| | - Geoffrey R Ambler
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead and Clinical School, The University of Sydney, Sydney, Australia
| | - Fergus J Cameron
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Melbourne, Australia
| | - Elizabeth A Davis
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Division of Paediatrics, Medical School, The University of Western Australia, Perth, Australia
| | - Timothy W Jones
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia .,Division of Paediatrics, Medical School, The University of Western Australia, Perth, Australia
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Majithia AR, Wiltschko AB, Zheng H, Walford GA, Nathan DM. Rate of Change of Premeal Glucose Measured by Continuous Glucose Monitoring Predicts Postmeal Glycemic Excursions in Patients With Type 1 Diabetes: Implications for Therapy. J Diabetes Sci Technol 2018; 12:76-82. [PMID: 28868899 PMCID: PMC5761983 DOI: 10.1177/1932296817725756] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Patients with type 1 diabetes routinely utilize a single premeal fingerstick glucose to determine premeal insulin doses. Continuous glucose monitoring (CGM) provides much richer glycemic trend information, including glycemic slope (GS). How to incorporate this information into dosing decisions remains an open question. METHODS We examined the relationship between premeal GS and postmeal glycemic excursions in 240 individuals with type 1 diabetes receiving CGM augmented insulin pump therapy. Over 23.5 million CGM values were synchronized with 264 500 meals. CGM values were integrated 2 hours premeal to compute GS and 2 hours postmeal to compute glycemic excursion outcomes. Postmeal hyperglycemia (integrated CGM glucose >180 mg/dL*hr) and postmeal hypoglycemic events (any CGM glucose < 70 mg/dL) were tabulated according to positive/negative premeal GS and according to GS bins commonly displayed as rate-of-change arrows on CGM devices. RESULTS Positive versus negative premeal GS was associated with a 2.28-fold (95% CI 2.25-2.32) risk of postmeal hyperglycemia. Negative versus positive premeal GS was associated with a 2.36-fold (95% CI 2.25-2.43) increase in one or more postprandial hypoglycemic events. Premeal GS in the bin currently displayed as "no change" on existing CGM devices (-1 to 1 mg/dL/min), conferred a 1.82-fold (95% CI 1.79-1.86) risk of postprandial hyperglycemia when positive and a 2.06-fold (95% CI 1.99-2.15) increased risk of postprandial hypoglycemia when negative. CONCLUSION Premeal GS predicts postmeal glycemic excursions and may help inform insulin dosing decisions. Rate-of-change arrows on existing devices obscure clinically actionable glycemic trend information from CGM users.
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Affiliation(s)
- Amit R. Majithia
- Program in Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Amit R. Majithia, MD, Program in Medical & Population Genetics, Broad Institute of Harvard and MIT, 75 Ames St, 10105C, Cambridge, MA 02142, USA.
| | | | - Hui Zheng
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Geoffrey A. Walford
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David M. Nathan
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Laffel LM, Aleppo G, Buckingham BA, Forlenza GP, Rasbach LE, Tsalikian E, Weinzimer SA, Harris DR. A Practical Approach to Using Trend Arrows on the Dexcom G5 CGM System to Manage Children and Adolescents With Diabetes. J Endocr Soc 2017; 1:1461-1476. [PMID: 29344578 PMCID: PMC5760209 DOI: 10.1210/js.2017-00389] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 11/03/2017] [Indexed: 01/15/2023] Open
Abstract
After assessing previously published methods, we developed a practical approach to adjusting insulin doses using rtCGM trend arrows in pediatric patients with diabetes.
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Affiliation(s)
- Lori M Laffel
- Pediatric, Adolescent and Young Adult Programs, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts 02215
| | - Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611
| | - Bruce A Buckingham
- Department of Pediatric Endocrinology, Stanford University, Stanford, California 94305
| | - Gregory P Forlenza
- Barbara Davis Center, University of Colorado Denver, Aurora, Colorado 80045
| | - Lisa E Rasbach
- Division of Pediatric Endocrinology, Johns Hopkins Children's Center, Baltimore, Maryland 21287
| | - Eva Tsalikian
- Division of Endocrinology and Diabetes, Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, Iowa 52242
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut 06510
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Klonoff DC, Ahn D, Drincic A. Continuous glucose monitoring: A review of the technology and clinical use. Diabetes Res Clin Pract 2017; 133:178-192. [PMID: 28965029 DOI: 10.1016/j.diabres.2017.08.005] [Citation(s) in RCA: 141] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 06/27/2017] [Accepted: 08/08/2017] [Indexed: 02/01/2023]
Abstract
Continuous glucose monitoring (CGM) is an increasingly adopted technology for insulin-requiring patients that provides insights into glycemic fluctuations. CGM can assist patients in managing their diabetes with lifestyle and medication adjustments. This article provides an overview of the technical and clinical features of CGM based on a review of articles in PubMed on CGM from 1999 through January 31, 2017. A detailed description is presented of three professional (retrospective), three personal (real-time) continuous glucose monitors, and three sensor integrated pumps (consisting of a sensor and pump that communicate with each other to determine an optimal insulin dose and adjust the delivery of insulin) that are currently available in United States. We have reviewed outpatient CGM outcomes, focusing on hemoglobin A1c (A1C), hypoglycemia, and quality of life. Issues affecting accuracy, detection of glycemic variability, strategies for optimal use, as well as cybersecurity and future directions for sensor design and use are discussed. In conclusion, CGM is an important tool for monitoring diabetes that has been shown to improve outcomes in patients with type 1 diabetes mellitus. Given currently available data and technological developments, we believe that with appropriate patient education, CGM can also be considered for other patient populations.
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Affiliation(s)
- David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Health Services, San Mateo, CA, USA.
| | - David Ahn
- University of California, Los Angeles, Los Angeles, CA, USA
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Gómez AM, Marín Carrillo LF, Muñoz Velandia OM, Rondón Sepúlveda MA, Arévalo Correa CM, Mora Garzón E, Cuervo Diaz MC, Henao Carrillo DC. Long-Term Efficacy and Safety of Sensor Augmented Insulin Pump Therapy with Low-Glucose Suspend Feature in Patients with Type 1 Diabetes. Diabetes Technol Ther 2017; 19:109-114. [PMID: 28001445 DOI: 10.1089/dia.2016.0332] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Literature supports short-term efficacy and safety of Sensor Augmented Insulin Pump (SAP) therapy in patients with type 1 diabetes (T1D). However, no data are available showing long-term outcomes. Our study describes the long-term outcomes of SAP therapy with low-glucose suspend feature (SAP+LGS) in hypoglycemia in a Colombian population with T1D and hypoglycemia. METHODS A cohort study was conducted with T1D patients receiving SAP+LGS therapy who initiated this therapy because of hypoglycemia at San Ignacio University Hospital diabetes center in Bogotá, Colombia. Glycated hemoglobin (A1c) was assessed at least every 6 months, severe hypoglycemia (SH) and hypoglycemia unawareness (HU) incidence yearly. Adherence to therapy was also evaluated. RESULTS One hundred eleven patients were included in the analysis. Total daily insulin dose was reduced during follow-up (mean difference -0.22 U/kg; 95% confidence interval [CI] -0.18 to -0.26; P < 0.001). A1c levels were reduced from a baseline value of 8.8% ± 1.9% to 7.5% ± 1.0% at 5 months (mean difference -1.3%; 95% CI -1.09 to -1.50; P < 0.001) and 7.1% ± 0.8% (mean difference -1.7%; 95% CI -1.59 to -1.90; P < 0.001) at the end of follow-up (47 months on average). The incidence of SH and HU episodes decreased significantly since the first year, and this effect was maintained over time (P < 0.001). CONCLUSIONS SAP+LGS therapy in T1D patients with hypoglycemia led to a significant and sustained decrease in A1c during long periods of follow-up, as well as a significant reduction in SH and HU. Future randomized clinical trials are desired.
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Affiliation(s)
- Ana María Gómez
- 1 Pontificia Universidad Javeriana , Facultad de Medicina, Bogotá, Colombia
- 2 Hospital Universitario San Ignacio , aUnidad de Endocrinología; bDepartamento de Medicina Interna; cDepartamenta de Epidemiologiía Clínica; Bogotá, Colombia
| | - Lisseth Fernanda Marín Carrillo
- 1 Pontificia Universidad Javeriana , Facultad de Medicina, Bogotá, Colombia
- 2 Hospital Universitario San Ignacio , aUnidad de Endocrinología; bDepartamento de Medicina Interna; cDepartamenta de Epidemiologiía Clínica; Bogotá, Colombia
| | - Oscar Mauricio Muñoz Velandia
- 1 Pontificia Universidad Javeriana , Facultad de Medicina, Bogotá, Colombia
- 2 Hospital Universitario San Ignacio , aUnidad de Endocrinología; bDepartamento de Medicina Interna; cDepartamenta de Epidemiologiía Clínica; Bogotá, Colombia
| | - Martín Alonso Rondón Sepúlveda
- 1 Pontificia Universidad Javeriana , Facultad de Medicina, Bogotá, Colombia
- 2 Hospital Universitario San Ignacio , aUnidad de Endocrinología; bDepartamento de Medicina Interna; cDepartamenta de Epidemiologiía Clínica; Bogotá, Colombia
| | - Carol M Arévalo Correa
- 1 Pontificia Universidad Javeriana , Facultad de Medicina, Bogotá, Colombia
- 2 Hospital Universitario San Ignacio , aUnidad de Endocrinología; bDepartamento de Medicina Interna; cDepartamenta de Epidemiologiía Clínica; Bogotá, Colombia
| | - Edwin Mora Garzón
- 1 Pontificia Universidad Javeriana , Facultad de Medicina, Bogotá, Colombia
| | - Maria Camila Cuervo Diaz
- 1 Pontificia Universidad Javeriana , Facultad de Medicina, Bogotá, Colombia
- 2 Hospital Universitario San Ignacio , aUnidad de Endocrinología; bDepartamento de Medicina Interna; cDepartamenta de Epidemiologiía Clínica; Bogotá, Colombia
| | - Diana Cristina Henao Carrillo
- 1 Pontificia Universidad Javeriana , Facultad de Medicina, Bogotá, Colombia
- 2 Hospital Universitario San Ignacio , aUnidad de Endocrinología; bDepartamento de Medicina Interna; cDepartamenta de Epidemiologiía Clínica; Bogotá, Colombia
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Bally L, Thabit H, Hovorka R. Closed-loop for type 1 diabetes - an introduction and appraisal for the generalist. BMC Med 2017; 15:14. [PMID: 28114938 PMCID: PMC5260117 DOI: 10.1186/s12916-017-0794-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 01/12/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Rapid progress over the past decade has been made with the development of the 'Artificial Pancreas', also known as the closed-loop system, which emulates the feedback glucose-responsive functionality of the pancreatic beta cell. The recent FDA approval of the first hybrid closed-loop system makes the Artificial Pancreas a realistic therapeutic option for people with type 1 diabetes. In anticipation of its advent into clinical care, we provide a primer and appraisal of this novel therapeutic approach in type 1 diabetes for healthcare professionals and non-specialists in the field. DISCUSSION Randomised clinical studies in outpatient and home settings have shown improved glycaemic outcomes, reduced risk of hypoglycaemia and positive user attitudes. User input and interaction with existing closed-loop systems, however, are still required. Therefore, management of user expectations, as well as training and support by healthcare providers are key to ensure optimal uptake, satisfaction and acceptance of the technology. An overview of closed-loop technology and its clinical implications are discussed, complemented by our extensive hands-on experience with closed-loop system use during free daily living. CONCLUSIONS The introduction of the artificial pancreas into clinical practice represents a milestone towards the goal of improving the care of people with type 1 diabetes. There remains a need to understand the impact of user interaction with the technology, and its implication on current diabetes management and care.
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Affiliation(s)
- Lia Bally
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
- Department of Diabetes & Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Diabetes, Endocrinology, Clinical Nutrition & Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Hood Thabit
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
- Department of Diabetes & Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Roman Hovorka
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK.
- Department of Paediatrics, University of Cambridge, Cambridge, UK.
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Steineck I, Ranjan A, Nørgaard K, Schmidt S. Sensor-Augmented Insulin Pumps and Hypoglycemia Prevention in Type 1 Diabetes. J Diabetes Sci Technol 2017; 11:50-58. [PMID: 28264173 PMCID: PMC5375081 DOI: 10.1177/1932296816672689] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Hypoglycemia can lead to seizures, unconsciousness, or death. Insulin pump treatment reduces the frequency of severe hypoglycemia compared with multiple daily injections treatment. The addition of a continuous glucose monitor, so-called sensor-augmented pump (SAP) treatment, has the potential to further limit the duration and severity of hypoglycemia as the system can detect and in some systems act on impending and prevailing low blood glucose levels. In this narrative review we summarize the available knowledge on SAPs with and without automated insulin suspension, in relation to hypoglycemia prevention. We present evidence from randomized trials, observational studies, and meta-analyses including nonpregnant individuals with type 1 diabetes mellitus. We also outline concerns regarding SAPs with and without automated insulin suspension. There is evidence that SAP treatment reduces episodes of moderate and severe hypoglycemia compared with multiple daily injections plus self-monitoring of blood glucose. There is some evidence that SAPs both with and without automated suspension reduces the frequency of severe hypoglycemic events compared with insulin pumps without continuous glucose monitoring.
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Affiliation(s)
- Isabelle Steineck
- Department of Endocrinology, Hvidovre University Hospital, Hvidovre, Denmark
- Danish Diabetes Academy, Odense, Denmark
- Isabelle Steineck, MD, Department of Endocrinology, Hvidovre University Hospital, Kettegård Allé 30, 2650 Hvidovre, Denmark.
| | - Ajenthen Ranjan
- Department of Endocrinology, Hvidovre University Hospital, Hvidovre, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Kirsten Nørgaard
- Department of Endocrinology, Hvidovre University Hospital, Hvidovre, Denmark
| | - Signe Schmidt
- Department of Endocrinology, Hvidovre University Hospital, Hvidovre, Denmark
- Danish Diabetes Academy, Odense, Denmark
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Toffanin C, Messori M, Cobelli C, Magni L. Automatic adaptation of basal therapy for Type 1 diabetic patients: A Run-to-Run approach. Biomed Signal Process Control 2017. [DOI: 10.1016/j.bspc.2016.09.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Bolinder J, Antuna R, Geelhoed-Duijvestijn P, Kröger J, Weitgasser R. Novel glucose-sensing technology and hypoglycaemia in type 1 diabetes: a multicentre, non-masked, randomised controlled trial. Lancet 2016; 388:2254-2263. [PMID: 27634581 DOI: 10.1016/s0140-6736(16)31535-5] [Citation(s) in RCA: 587] [Impact Index Per Article: 73.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 07/22/2016] [Accepted: 07/26/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND Tight control of blood glucose in type 1 diabetes delays onset of macrovascular and microvascular diabetic complications; however, glucose levels need to be closely monitored to prevent hypoglycaemia. We aimed to assess whether a factory-calibrated, sensor-based, flash glucose-monitoring system compared with self-monitored glucose testing reduced exposure to hypoglycaemia in patients with type 1 diabetes. METHOD In this multicentre, prospective, non-masked, randomised controlled trial, we enrolled adult patients with well controlled type 1 diabetes (HbA1c ≤58 mmol/mol [7·5%]) from 23 European diabetes centres. After 2 weeks of all participants wearing the blinded sensor, those with readings for at least 50% of the period were randomly assigned (1:1) to flash sensor-based glucose monitoring (intervention group) or to self-monitoring of blood glucose with capillary strips (control group). Randomisation was done centrally using the biased-coin minimisation method dependent on study centre and type of insulin administration. Participants, investigators, and study staff were not masked to group allocation. The primary outcome was change in time in hypoglycaemia (<3·9 mmol/L [70 mg/dL]) between baseline and 6 months in the full analysis set (all participants randomised; excluding those who had a positive pregnancy test during the study). This trial was registered with ClinicalTrials.gov, number NCT02232698. FINDINGS Between Sept 4, 2014, and Feb 12, 2015, we enrolled 328 participants. After the screening and baseline phase, 120 participants were randomly assigned to the intervention group and 121 to the control group, with outcomes being evaluated in 119 and 120, respectively. Mean time in hypoglycaemia changed from 3·38 h/day at baseline to 2·03 h/day at 6 months (baseline adjusted mean change -1·39) in the intervention group, and from 3·44 h/day to 3·27 h/day in the control group (-0·14); with the between-group difference of -1·24 (SE 0·239; p<0·0001), equating to a 38% reduction in time in hypoglycaemia in the intervention group. No device-related hypoglycaemia or safety issues were reported. 13 adverse events were reported by ten participants related to the sensor-four of allergy events (one severe, three moderate); one itching (mild); one rash (mild); four insertion-site symptom (severe); two erythema (one severe, one mild); and one oedema (moderate). There were ten serious adverse events (five in each group) reported by nine participants; none were related to the device. INTERPRETATION Novel flash glucose testing reduced the time adults with well controlled type 1 diabetes spent in hypoglycaemia. Future studies are needed to assess the effectiveness of this technology in patients with less well controlled diabetes and in younger age groups. FUNDING Abbott Diabetes Care.
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Affiliation(s)
- Jan Bolinder
- Department of Medicine, Karolinska University Hospital Huddinge, Karolinska Institute, Stockholm, Sweden.
| | | | | | - Jens Kröger
- Centre for Diabetology Hamburg Bergedorf, Hamburg, Germany
| | - Raimund Weitgasser
- Department of Internal Medicine, Wehrle-Diakonissen Hospital Salzburg, Salzburg, Austria; Paracelsus Medical University, Salzburg, Austria
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Haviland N, Walsh J, Roberts R, Bailey TS. Update on Clinical Utility of Continuous Glucose Monitoring in Type 1 Diabetes. Curr Diab Rep 2016; 16:115. [PMID: 27718171 DOI: 10.1007/s11892-016-0808-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Since the early 2000s, continuous glucose monitoring (CGM) technology has advanced to become a standard of care in the treatment of type 1 diabetes. Unfortunately, CGM use is not commonly integrated into practice. This article will review the history, technology, and need for systematic training in CGM. Additionally, it will review recent clinical trial data demonstrating the benefits that CGM offers to all people with type 1 diabetes and the clinicians who care for them.
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Affiliation(s)
- Nalani Haviland
- Advanced Metabolic Care and Research, 625 W. Citracado Pkwy, Ste 108, Escondido, CA, 92025, USA
| | - John Walsh
- Advanced Metabolic Care and Research, 625 W. Citracado Pkwy, Ste 108, Escondido, CA, 92025, USA
| | - Ruth Roberts
- Diabetes Services, Inc., 1030 West Upas St., San Diego, CA, 92103, USA
| | - Timothy S Bailey
- AMCR Institute, 625 West Citracado Parkway Suite 112, Escondido, CA, 92025, USA.
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Naranjo D, Tanenbaum ML, Iturralde E, Hood KK. Diabetes Technology: Uptake, Outcomes, Barriers, and the Intersection With Distress. J Diabetes Sci Technol 2016; 10:852-8. [PMID: 27234809 PMCID: PMC4928242 DOI: 10.1177/1932296816650900] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Patients managing type 1 diabetes have access to new technologies to assist in management. This manuscript has two aims: 1) to briefly review the literature on diabetes technology use and how this relates to psychological factors and 2) to present an example of human factors research using our data to examine psychological factors associated with technology use. Device/technology uptake and use has increased over the years and at present day is a common clinical practice. There are mixed results in terms of health and psychosocial outcomes, with specific subgroups doing better than others with technology. Our data demonstrated that patients have moderately elevated diabetes distress across differing types of technology used, from low-tech to high-tech options, possibly meaning that technology does not add or take away distress. In addition, users on multiple daily injections compared to all other technology groups have less positive attitudes about technology. Finally, we discuss implications for clinical practice and future research.
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Affiliation(s)
- Diana Naranjo
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA
| | - Molly L Tanenbaum
- Department of Pediatrics, Stanford University School of Medicine, CA, USA
| | - Esti Iturralde
- Department of Pediatrics, Stanford University School of Medicine, CA, USA
| | - Korey K Hood
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA Department of Pediatrics, Stanford University School of Medicine, CA, USA
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[Insulin pump therapy in children, adolescents and adults]. Wien Klin Wochenschr 2016; 128 Suppl 2:S188-95. [PMID: 27052245 DOI: 10.1007/s00508-016-0966-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
This position statement is based on the current evidence available on the safety and benefits of continuous subcutaneous insulin pump therapy (CSII) in diabetes with an emphasis on the effects of CSII on glycemic control, hypoglycaemia rates, occurrence of ketoacidosis, quality of life and the use of insulin pump therapy in pregnancy. The current article represents the recommendations of the Austrian Diabetes Association for the clinical praxis of insulin pump treatment in children, adolescents and adults.
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Picard S, Hanaire H, Baillot-Rudoni S, Gilbert-Bonnemaison E, Not D, Reznik Y, Guerci B. Evaluation of the Adherence to Continuous Glucose Monitoring in the Management of Type 1 Diabetes Patients on Sensor-Augmented Pump Therapy: The SENLOCOR Study. Diabetes Technol Ther 2016; 18:127-35. [PMID: 26950530 DOI: 10.1089/dia.2015.0240] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) and sensor-augmented pump (SAP) therapy improve glucose control provided good adherence. In France, not only diabetologists, nurses, and dieticians but also nurses employed by homecare providers (HCPNs) are together involved in the initiation and/or follow-up of continuous subcutaneous insulin injection (CSII) and SAP training. The SENLOCOR Study is an observational study designed to assess SAP adherence over 6 months (primary objective). Secondary objectives included the impact of SAP on metabolic control and patients' satisfaction. MATERIALS AND METHODS CGM initiation (M0) was performed within 3 months after CSII. CGM adherence, defined by sensor wear >70% of the time, glycated hemoglobin (HbA1c) levels, and satisfaction questionnaires were collected at inclusion and at 3 (M3) and 6 (M6) months. RESULTS The analysis population was 234 patients, including 27 children. Of the physicians, 88.0% were involved in SAP education for the whole cohort (median time, 45 min), whereas HCPNs were involved in CGM training for 190 patients (81.2%) (median time: at M0, 156 min; at M3, 20 min). Good adherence was obtained in 86.1% (M0-M3) and 68.9% (M3-M6) of the patients. The HbA1c level decreased from 8.16 ± 1.35% (M0) to 7.67 ± 1.01% (M6) in 189 patients (change, -0.48%; 95% confidence interval, -0.64, -0.33). The percentage of patients who experienced severe hypoglycemia decreased from 20.7% (M0) to 13.6% (M3) and 13.3% (M6). Satisfaction scores were high. CONCLUSIONS In patients with type 1 diabetes, a 6-month training on SAP involving a multidisciplinary team, and especially HCPNs, improved metabolic control with a high level of adherence and satisfaction.
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Affiliation(s)
- Sylvie Picard
- 1 Point Médical , Rond-Point de la Nation, Dijon, France
| | - Hélène Hanaire
- 2 Endocrinology-Diabetes Care Unit, Toulouse University Hospital , Toulouse, France
| | | | | | - Didier Not
- 5 Center of Clinical Research , Lyon, France
| | - Yves Reznik
- 6 Endocrinology-Diabetes Care Unit, Caen University Hospital , Caen, France
| | - Bruno Guerci
- 7 Endocrinology-Diabetes Care Unit, University of Lorraine , Vandoeuvre Lès Nancy, France
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Laffel L. Improved Accuracy of Continuous Glucose Monitoring Systems in Pediatric Patients with Diabetes Mellitus: Results from Two Studies. Diabetes Technol Ther 2016; 18 Suppl 2:S223-33. [PMID: 26784126 PMCID: PMC4717517 DOI: 10.1089/dia.2015.0380] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
OBJECTIVE This study was designed to evaluate accuracy, performance, and safety of the Dexcom (San Diego, CA) G4(®) Platinum continuous glucose monitoring (CGM) system (G4P) compared with the Dexcom G4 Platinum with Software 505 algorithm (SW505) when used as adjunctive management to blood glucose (BG) monitoring over a 7-day period in youth, 2-17 years of age, with diabetes. RESEARCH DESIGN AND METHODS Youth wore either one or two sensors placed on the abdomen or upper buttocks for 7 days, calibrating the device twice daily with a uniform BG meter. Participants had one in-clinic session on Day 1, 4, or 7, during which fingerstick BG measurements (self-monitoring of blood glucose [SMBG]) were obtained every 30 ± 5 min for comparison with CGM, and in youth 6-17 years of age, reference YSI glucose measurements were obtained from arterialized venous blood collected every 15 ± 5 min for comparison with CGM. The sensor was removed by the participant/family after 7 days. RESULTS In comparison of 2,922 temporally paired points of CGM with the reference YSI measurement for G4P and 2,262 paired points for SW505, the mean absolute relative difference (MARD) was 17% for G4P versus 10% for SW505 (P < 0.0001). In comparison of 16,318 temporally paired points of CGM with SMBG for G4P and 4,264 paired points for SW505, MARD was 15% for G4P versus 13% for SW505 (P < 0.0001). Similarly, error grid analyses indicated superior performance with SW505 compared with G4P in comparison of CGM with YSI and CGM with SMBG results, with greater percentages of SW505 results falling within error grid Zone A or the combined Zones A plus B. There were no serious adverse events or device-related serious adverse events for either the G4P or the SW505, and there was no sensor breakoff. CONCLUSIONS The updated algorithm offers substantial improvements in accuracy and performance in pediatric patients with diabetes. Use of CGM with improved performance has potential to increase glucose time in range and improve glycemic outcomes for youth.
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Affiliation(s)
- Lori Laffel
- Pediatric, Adolescent and Young Adult and Genetics and Epidemiology Sections, Joslin Diabetes Center , Harvard Medical School, Boston, Massachusetts
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Battelino T, Liabat S, Veeze HJ, Castañeda J, Arrieta A, Cohen O. Routine use of continuous glucose monitoring in 10 501 people with diabetes mellitus. Diabet Med 2015; 32:1568-74. [PMID: 26042926 PMCID: PMC4744771 DOI: 10.1111/dme.12825] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/01/2015] [Indexed: 01/04/2023]
Abstract
AIMS To analyse blood glucose control according to continuous glucose monitoring use in data from the CareLink database, and to identify factors associated with continuation of sensor use during sensor-augmented pump therapy. METHODS The analysis used data from 10 501 people with Type 1 and 2 diabetes mellitus, of whom 7916 (61.7%) had used glucose sensors for ≥ 15 days during any 6-month period over a 2-year observation period. Data were analysed according to the extent of sensor use ( < 25%, 25-49%, 50-74% and ≥ 75% of the time). Time to discontinuation of sensor use was also analysed in new users of glucose sensors. RESULTS Compared with patients in the lowest sensor usage group and non-users, the highest glucose sensor usage group had significantly (P < 0.0001) lower mean blood glucose and blood glucose sd, were more likely to achieve a mean blood glucose concentration < 8.6 mmol/l, (odds ratio 1.5, 95% CI 1.3-1.7; P < 0.0001), and had 50% fewer hypoglycaemic (blood glucose concentration < 2.8 mmol/l) episodes. Among new users, sensor use during the first month of therapy was an important predictor of subsequent discontinuation. Lack of full reimbursement was also significantly associated with early discontinuation, whereas measures of glycaemic control were predictive of discontinuation during long-term treatment. CONCLUSIONS The use of continuous glucose monitoring was significantly associated with reductions in hypoglycaemia and improved metabolic control during insulin pump therapy. Sensor use during the first month was strongly associated with long-term adherence; patient education and training may be helpful in achieving this.
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MESH Headings
- Blood Glucose/analysis
- Canada
- Cohort Studies
- Diabetes Mellitus, Type 1/blood
- Diabetes Mellitus, Type 1/drug therapy
- Diabetes Mellitus, Type 1/economics
- Diabetes Mellitus, Type 2/blood
- Diabetes Mellitus, Type 2/drug therapy
- Diabetes Mellitus, Type 2/economics
- Drug Resistance
- Europe
- Health Information Exchange
- Humans
- Hyperglycemia/prevention & control
- Hypoglycemia/chemically induced
- Hypoglycemia/prevention & control
- Hypoglycemic Agents/administration & dosage
- Hypoglycemic Agents/adverse effects
- Hypoglycemic Agents/therapeutic use
- Insulin/administration & dosage
- Insulin/adverse effects
- Insulin/therapeutic use
- Insulin Infusion Systems/adverse effects
- Insurance, Health, Reimbursement
- Israel
- Monitoring, Ambulatory/economics
- Patient Compliance
- Practice Patterns, Physicians'
- Time Factors
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Affiliation(s)
- T Battelino
- University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - S Liabat
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | - H J Veeze
- Diabeter, Centre for Pediatric and Adolescent Diabetes Care and Research, Rotterdam, The Netherlands
| | - J Castañeda
- Medtronic Bakken Research Center, Maastricht, The Netherlands
| | - A Arrieta
- Medtronic Bakken Research Center, Maastricht, The Netherlands
| | - O Cohen
- Chaim Sheba Medical Centre, Ramat Gan, Israel
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