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Caldara R, Tomajer V, Monti P, Sordi V, Citro A, Chimienti R, Gremizzi C, Catarinella D, Tentori S, Paloschi V, Melzi R, Mercalli A, Nano R, Magistretti P, Partelli S, Piemonti L. Allo Beta Cell transplantation: specific features, unanswered questions, and immunological challenge. Front Immunol 2023; 14:1323439. [PMID: 38077372 PMCID: PMC10701551 DOI: 10.3389/fimmu.2023.1323439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
Type 1 diabetes (T1D) presents a persistent medical challenge, demanding innovative strategies for sustained glycemic control and enhanced patient well-being. Beta cells are specialized cells in the pancreas that produce insulin, a hormone that regulates blood sugar levels. When beta cells are damaged or destroyed, insulin production decreases, which leads to T1D. Allo Beta Cell Transplantation has emerged as a promising therapeutic avenue, with the goal of reinstating glucose regulation and insulin production in T1D patients. However, the path to success in this approach is fraught with complex immunological hurdles that demand rigorous exploration and resolution for enduring therapeutic efficacy. This exploration focuses on the distinct immunological characteristics inherent to Allo Beta Cell Transplantation. An understanding of these unique challenges is pivotal for the development of effective therapeutic interventions. The critical role of glucose regulation and insulin in immune activation is emphasized, with an emphasis on the intricate interplay between beta cells and immune cells. The transplantation site, particularly the liver, is examined in depth, highlighting its relevance in the context of complex immunological issues. Scrutiny extends to recipient and donor matching, including the utilization of multiple islet donors, while also considering the potential risk of autoimmune recurrence. Moreover, unanswered questions and persistent gaps in knowledge within the field are identified. These include the absence of robust evidence supporting immunosuppression treatments, the need for reliable methods to assess rejection and treatment protocols, the lack of validated biomarkers for monitoring beta cell loss, and the imperative need for improved beta cell imaging techniques. In addition, attention is drawn to emerging directions and transformative strategies in the field. This encompasses alternative immunosuppressive regimens and calcineurin-free immunoprotocols, as well as a reevaluation of induction therapy and recipient preconditioning methods. Innovative approaches targeting autoimmune recurrence, such as CAR Tregs and TCR Tregs, are explored, along with the potential of stem stealth cells, tissue engineering, and encapsulation to overcome the risk of graft rejection. In summary, this review provides a comprehensive overview of the inherent immunological obstacles associated with Allo Beta Cell Transplantation. It offers valuable insights into emerging strategies and directions that hold great promise for advancing the field and ultimately improving outcomes for individuals living with diabetes.
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Affiliation(s)
- Rossana Caldara
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Valentina Tomajer
- Pancreatic Surgery, Pancreas Translational & Clinical Research Center, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Paolo Monti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Valeria Sordi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Antonio Citro
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Raniero Chimienti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Chiara Gremizzi
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Davide Catarinella
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Stefano Tentori
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Vera Paloschi
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Raffella Melzi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Alessia Mercalli
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Rita Nano
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Paola Magistretti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Stefano Partelli
- Pancreatic Surgery, Pancreas Translational & Clinical Research Center, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Lorenzo Piemonti
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
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Michou P, Gkiourtzis N, Christoforidis A, Kotanidou EP, Galli-Tsinopoulou A. The efficacy of automated insulin delivery systems in children and adolescents with Type 1 Diabetes Mellitus: a systematic review and meta-analysis of randomized controlled trials. Diabetes Res Clin Pract 2023; 199:110678. [PMID: 37094750 DOI: 10.1016/j.diabres.2023.110678] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 03/28/2023] [Accepted: 04/18/2023] [Indexed: 04/26/2023]
Abstract
AIMS Insulin administration is the treatment of choice for people with type 1 diabetes mellitus (T1D). Technological advances have led to the development of automated insulin delivery (AID) systems, aiming to optimize the quality of life of patients with T1D. We present a systematic review and meta-analysis of the current literature about the efficacy of AID systems in children and adolescents with T1D. METHODS We conducted a systematic literature search for randomized controlled trials (RCTs) until August 8th, 2022, investigating the efficacy of AID systems in the management of patients <21 years of age with T1D. A priori subgroup and sensitivity analyses based on different settings (free-living settings, type of AID system, parallel group or crossover design) were also conducted. RESULTS In total, 26 RCTs reporting a total of 915 children and adolescents with T1D were included in the meta-analysis. AID systems revealed statistically significant differences in the main outcomes, such as the proportion of time in the target glucose range (3.9-10 mmol/L) (p<0.00001), in hypoglycemia (<3.9 mmol/L) (p=0.003) and mean proportion of HbA1C (p=0.0007) compared to control group. CONCLUSIONS According to the present meta-analysis, AID systems are superior to insulin pump therapy, sensor-augmented pumps and multiple daily insulin injections. Most of the included studies have a high risk of bias because of allocation, blinding of patients and blinding of assessment. Our sensitivity analyses showed that patients <21 years of age with T1D can use AID systems, after proper education, following their daily activities. Further RCTs examining the effect of AID systems on nocturnal hypoglycemia, under free-living settings and studies examining the effect of dual-hormone AID systems are pending.
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Affiliation(s)
- Panagiota Michou
- Program of Postgraduate Studies Adolescent Medicine and Adolescent Health Care, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54124; Department of Pediatrics, Gennimatas General Hospital of Thessaloniki, Thessaloniki, Greece, 54635.
| | - Nikolaos Gkiourtzis
- 4th Department of Pediatrics, Papageorgiou General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 56429.
| | - Athanasios Christoforidis
- 1st Department of Pediatrics, Ippokrateio General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54643.
| | - Eleni P Kotanidou
- Program of Postgraduate Studies Adolescent Medicine and Adolescent Health Care, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54124; 2nd Department of Pediatrics, AHEPA University General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54636.
| | - Asimina Galli-Tsinopoulou
- Program of Postgraduate Studies Adolescent Medicine and Adolescent Health Care, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54124; 2nd Department of Pediatrics, AHEPA University General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54636.
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Khadem H, Nemat H, Elliott J, Benaissa M. Blood Glucose Level Time Series Forecasting: Nested Deep Ensemble Learning Lag Fusion. Bioengineering (Basel) 2023; 10:bioengineering10040487. [PMID: 37106674 PMCID: PMC10135844 DOI: 10.3390/bioengineering10040487] [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: 03/21/2023] [Revised: 04/12/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
Blood glucose level prediction is a critical aspect of diabetes management. It enables individuals to make informed decisions about their insulin dosing, diet, and physical activity. This, in turn, improves their quality of life and reduces the risk of chronic and acute complications. One conundrum in developing time-series forecasting models for blood glucose level prediction is to determine an appropriate length for look-back windows. On the one hand, studying short histories foists the risk of information incompletion. On the other hand, analysing long histories might induce information redundancy due to the data shift phenomenon. Additionally, optimal lag lengths are inconsistent across individuals because of the domain shift occurrence. Therefore, in bespoke analysis, either optimal lag values should be found for each individual separately or a globally suboptimal lag value should be used for all. The former approach degenerates the analysis's congruency and imposes extra perplexity. With the latter, the fine-tunned lag is not necessarily the optimum option for all individuals. To cope with this challenge, this work suggests an interconnected lag fusion framework based on nested meta-learning analysis that improves the accuracy and precision of predictions for personalised blood glucose level forecasting. The proposed framework is leveraged to generate blood glucose prediction models for patients with type 1 diabetes by scrutinising two well-established publicly available Ohio type 1 diabetes datasets. The models developed undergo vigorous evaluation and statistical analysis from mathematical and clinical perspectives. The results achieved underpin the efficacy of the proposed method in blood glucose level time-series prediction analysis.
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Affiliation(s)
- Heydar Khadem
- Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S10 2TN, UK
| | - Hoda Nemat
- Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S10 2TN, UK
| | - Jackie Elliott
- Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2TN, UK
- Department of Diabetes and Endocrinology, Sheffield Teaching Hospitals, Sheffield S5 7AU, UK
| | - Mohammed Benaissa
- Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S10 2TN, UK
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Kang SL, Hwang YN, Kwon JY, Kim SM. Effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes (T1D): systematic review and meta-analysis. Diabetol Metab Syndr 2022; 14:187. [PMID: 36494830 PMCID: PMC9733359 DOI: 10.1186/s13098-022-00962-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The purpose of this study was to assess the effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes. METHODS We searched PubMed, EMBASE, Cochrane Central, and the Web of Science to December 2021. The eligibility criteria for study selection were randomized controlled trials comparing artificial pancreas systems (MPC, PID, and fuzzy algorithms) with conventional insulin therapy in type 1 diabetes patients. The heterogeneity of the overall results was identified by subgroup analysis of two factors including the intervention duration (overnight and 24 h) and the follow-up periods (< 1 week, 1 week to 1 month, and > 1 month). RESULTS The meta-analysis included a total of 41 studies. Considering the effect on the percentage of time maintained in the target range between the MPC-based artificial pancreas and conventional insulin therapy, the results showed a statistically significantly higher percentage of time maintained in the target range in overnight use (10.03%, 95% CI [7.50, 12.56] p < 0.00001). When the follow-up period was considered, in overnight use, the MPC-based algorithm showed a statistically significantly lower percentage of time maintained in the hypoglycemic range (-1.34%, 95% CI [-1.87, -0.81] p < 0.00001) over a long period of use (> 1 month). CONCLUSIONS Overnight use of the MPC-based artificial pancreas system statistically significantly improved glucose control while increasing time maintained in the target range for outpatients with type 1 diabetes. Results of subgroup analysis revealed that MPC algorithm-based artificial pancreas system was safe while reducing the time maintained in the hypoglycemic range after an overnight intervention with a long follow-up period (more than 1 month).
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Affiliation(s)
- Su Lim Kang
- Department of Medical Device and Healthcare, Dongguk University-Seoul, 26, Pil-Dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
| | - Yoo Na Hwang
- Department of Medical Device and Healthcare, Dongguk University-Seoul, 26, Pil-Dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
| | - Ji Yean Kwon
- Department of Medical Device and Healthcare, Dongguk University-Seoul, 26, Pil-Dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
| | - Sung Min Kim
- Department of Medical Device and Healthcare, Dongguk University-Seoul, 26, Pil-Dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
- Department of Medical Device Regulatory Science, Dongguk University-Seoul, 26, Pil-dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
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Jiao X, Shen Y, Chen Y. Better TIR, HbA1c, and less hypoglycemia in closed-loop insulin system in patients with type 1 diabetes: a meta-analysis. BMJ Open Diabetes Res Care 2022; 10:10/2/e002633. [PMID: 35450868 PMCID: PMC9024214 DOI: 10.1136/bmjdrc-2021-002633] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 04/03/2022] [Indexed: 12/18/2022] Open
Abstract
The study aimed to evaluate the effectiveness and safety of long-term use of closed-loop insulin system (CLS) in non-pregnant patients with type 1 diabetes mellitus (T1DM) using systematic review and meta-analysis. A literature search was performed using MEDLINE, EMBASE, and the Cochrane Library. Randomized controlled trials (RCTs) on long-term use (not less than 8 weeks) of CLS in patients with T1DM were selected. Meta-analysis was performed with RevMan V.5.3.5 to compare CLS with controls (continuous subcutaneous insulin infusion with blinded continuous glucose monitoring or unblinded sensor-augmented pump therapy or multiple daily injections or predictive low-glucose suspend system) in adults and children with type 1 diabetes. Research quality evaluation was conducted using the Cochrane risk of bias tool. Eleven RCTs (817 patients) that satisfied the eligibility criteria were included in the meta-analysis. Compared with controls, the CLS group had a favorable effect on the proportion of time with sensor glucose level in 3.9-10 mmol/L (10.32%, 8.70% to 11.95%), above 10 mmol/L (-8.89%, -10.57% to -7.22%), or below 3.9 mmol/L (-1.09%, -1.54% to -0.64%) over 24 hours. The CLS group also had lower glycated hemoglobin levels (-0.30%, -0.41% to -0.19%), and glucose variability, coefficient of variation of glucose, and SD were lower by 1.41 (-2.38 to -0.44, p=0.004) and 6.37 mg/dL (-9.19 mg/dL to -3.55 mg/dL, p<0.00001). There were no significant differences between the CLS and the control group in terms of daily insulin dose, quality of life assessment, and satisfaction with diabetes treatment. CLS is a better solution than control treatment in optimizing blood glucose management in patients with T1DM. CLS could become a common means of treating T1DM in clinical practice.
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Affiliation(s)
- Xiaojuan Jiao
- Department of Endocrinology and Metabolism, Nanchang University Second Affiliated Hospital, Nanchang, Jiangxi, China
| | - Yunfeng Shen
- Department of Endocrinology and Metabolism, Nanchang University Second Affiliated Hospital, Nanchang, Jiangxi, China
| | - Yifa Chen
- Department of Endocrinology and Metabolism, Nanchang University Second Affiliated Hospital, Nanchang, Jiangxi, China
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Overcoming Barriers to Diabetes Technology in Youth with Type 1 Diabetes and Public Insurance: Cases and Call to Action. Case Rep Endocrinol 2022; 2022:9911736. [PMID: 35273814 PMCID: PMC8904094 DOI: 10.1155/2022/9911736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/03/2022] [Indexed: 11/21/2022] Open
Abstract
Advancements in diabetes technology such as continuous glucose monitoring (CGM), insulin pumps, and automated insulin delivery provide opportunities to improve glycemic control for youth with type 1 diabetes (T1D). However, diabetes technology use is lower in youth on public insurance, and this technology use gap is widening in the US. There is a significant need to develop effective interventions and policies to promote equitable care. The dual purpose of this case series is as follows: (1) describe success stories of the CGM Time in Range Program (CGM TIPs), which removed barriers for initiating CGM and provided asynchronous remote glucose monitoring for youth on public insurance, and (2) advocate for improving CGM coverage by public insurance. We describe a series of six youths with T1D and public insurance who obtained and sustained use of CGM with assistance from the program. Three youths had improved engagement with the care team while on CGM and the remote monitoring protocol, and three youths were able to leverage sustained CGM wear to obtain insurance coverage for automated insulin delivery systems. CGM TIPs helped these youths achieve lower hemoglobin A1c and improved time in range (TIR). Despite the successes, expansion of CGM TIPs is limited by stringent barriers for CGM approval and difficult postapproval patient workflows to receive shipments. These cases highlight the potential for combining diabetes technology and asynchronous remote monitoring to support continued use and provide education to improve glycemic control for youth with T1D on public insurance and the need to reduce barriers for obtaining CGM coverage by public insurance.
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Swain J, Jena S, Manglunia A, Singh J. The journey of insulin over 100 years. JOURNAL OF DIABETOLOGY 2022. [DOI: 10.4103/jod.jod_100_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Piemonti L. Felix dies natalis, insulin… ceterum autem censeo "beta is better". Acta Diabetol 2021; 58:1287-1306. [PMID: 34027619 DOI: 10.1007/s00592-021-01737-3] [Citation(s) in RCA: 6] [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] [Received: 04/13/2021] [Accepted: 05/06/2021] [Indexed: 12/12/2022]
Abstract
One hundred years after its discovery, insulin remains the life-saving therapy for many patients with diabetes. It has been a 100-years-old success story thanks to the fact that insulin therapy has continuously integrated the knowledge developed over a century. In 1982, insulin becomes the first therapeutic protein to be produced using recombinant DNA technology. The first "mini" insulin pump and the first insulin pen become available in 1983 and 1985, respectively. In 1996, the first generation of insulin analogues were produced. In 1999, the first continuous glucose-monitoring device for reading interstitial glucose was approved by the FDA. In 2010s, the ultra-long action insulins were introduced. An equally exciting story developed in parallel. In 1966. Kelly et al. performed the first clinical pancreas transplant at the University of Minnesota, and now it is a well-established clinical option. First successful islet transplantations in humans were obtained in the late 1980s and 1990s. Their ability to consistently re-establish the endogenous insulin secretion was obtained in 2000s. More recently, the possibility to generate large numbers of functional human β cells from pluripotent stem cells was demonstrated, and the first clinical trial using stem cell-derived insulin producing cell was started in 2014. This year, the discovery of this life-saving hormone turns 100 years. This provides a unique opportunity not only to celebrate this extraordinary success story, but also to reflect on the limits of insulin therapy and renew the commitment of the scientific community to an insulin free world for our patients.
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Affiliation(s)
- Lorenzo Piemonti
- San Raffaele Diabetes Research Institute, San Raffaele Scientific Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy.
- Università Vita-Salute San Raffaele, Milan, Italy.
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Luo X, Pan J, Lu H, Li X. Parents' experiences on the combined use of continuous subcutaneous insulin infusion and real-time continuous glucose monitoring to manage Type 1 diabetes in their children: A systematic review and meta-synthesis of qualitative studies. Nurs Open 2021; 9:2532-2551. [PMID: 34191399 DOI: 10.1002/nop2.971] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 04/13/2021] [Accepted: 06/02/2021] [Indexed: 11/06/2022] Open
Abstract
AIM To explore the experiences and perspectives of the combined use of continuous subcutaneous insulin infusion (CSII) and continuous glucose monitoring (CGM) on parents of children with TIDM on their daily life. DESIGN A systematic review and meta-synthesis of qualitative studies. METHODS A systematic literature search of English studies published in seven databases between 2006-2021: CINAHL, MEDLINE, EMBASE, PubMed, PsycINFO, Cochrane Library and Scopus. All included studies underwent the process of thematic interpretive integration by the author team. RESULTS Nine studies met the inclusion criteria. Six derived themes were generated which contained interacting with devices, interacting with glycaemic information, improving quality of life for parents of children with T1DM, burden of living with CSII therapy and CGM, impact on the parent-child relationship, requirement and expectation to advanced diabetes technology. Advanced diabetes technologies affect physical, emotional and relationship between the daily life of parents and their children with T1DM.
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Affiliation(s)
- Xiuwen Luo
- Birmingham City University, Birmingham, UK.,Foshan University, Foshan, China.,Endocrinology Department, The Second People's Hospital of Foshan, Foshan, China
| | - Jie Pan
- Faculty of Nursing, Foshan University, Foshan, China
| | - Haiyun Lu
- Nursing Department, The Second People's Hospital of Foshan, Foshan, China
| | - Xiaoxiao Li
- Jinan University, Guangzhou, China.,Teaching and Research Department, The Second People's Hospital of Foshan, Foshan, China
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Petrovski G, Al Khalaf F, Campbell J, Umer F, Almajaly D, Hamdan M, Hussain K. One-year experience of hybrid closed-loop system in children and adolescents with type 1 diabetes previously treated with multiple daily injections: drivers to successful outcomes. Acta Diabetol 2021; 58:207-213. [PMID: 33044604 PMCID: PMC7548407 DOI: 10.1007/s00592-020-01607-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 09/17/2020] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To evaluate the effect of a 1-year hybrid closed-loop (HCL) system on glycemic control in children and adolescents with type 1 diabetes (T1D) previously treated with multiple daily injections (MDI). METHODS This was a 1-year observational study, as a continuation of the previous 3 months prospective study of pediatric patients with T1D conducted at Sidra Medicine in Qatar. The study enrolled individuals aged 7-18 years with T1D > 1 year, on MDI with self-monitoring of blood glucose or continuous glucose monitoring, with no prior pump experience, and with an HbA1c level < 12.5% (< 113 mmol/mol). After the first 3 months of HCL use, patients were followed at 6, 9 and 12 months, where HbA1c was obtained and pump data were collected. RESULTS All 30 participants (age 10.24 ± 2.6 years) who initiated HCL completed 12 months of HCL system use in Auto Mode. The participants used the sensor 88.4 ± 6.5% of the time with Auto Mode usage 85.6 ± 7.4% during 12 months of HCL system use. HbA1c decreased from 8.2 ± 1.4% (66 ± 15.3 mmol/mol) at baseline, to 6.7 ± 0.5% (50 ± 5.5 mmol/mol) at 3 months (p = 0.02) and remained stable to 7.1 ± 0.6 (54 ± 6.6 mmol/mol) at 12 months (p = 0.02). TIR (70-180 mg/dL) increased from 46.9% at baseline to 71.9% at 1 month and remained above 70% during the 12 months of HCL use. CONCLUSION HCL system (MiniMed 670G) in children and adolescents previously treated with MDI significantly improves glycemic outcomes (HbA1c and Time in Ranges) immediately during the first month. This improved glycemic control was maintained over the 1 year following Auto Mode initiation.
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Affiliation(s)
- Goran Petrovski
- Division of Endocrinology and Diabetes, Department of Pediatric Medicine, Sidra Medicine, HB 6E 219, Al Luqta Street, Education City North Campus, PO Box 26999, Doha, Qatar.
| | - Fawziya Al Khalaf
- Division of Endocrinology and Diabetes, Department of Pediatric Medicine, Sidra Medicine, HB 6E 219, Al Luqta Street, Education City North Campus, PO Box 26999, Doha, Qatar
| | - Judith Campbell
- Division of Endocrinology and Diabetes, Department of Pediatric Medicine, Sidra Medicine, HB 6E 219, Al Luqta Street, Education City North Campus, PO Box 26999, Doha, Qatar
| | - Fareeda Umer
- Division of Endocrinology and Diabetes, Department of Pediatric Medicine, Sidra Medicine, HB 6E 219, Al Luqta Street, Education City North Campus, PO Box 26999, Doha, Qatar
| | - Douha Almajaly
- Division of Endocrinology and Diabetes, Department of Pediatric Medicine, Sidra Medicine, HB 6E 219, Al Luqta Street, Education City North Campus, PO Box 26999, Doha, Qatar
| | - Manar Hamdan
- Division of Endocrinology and Diabetes, Department of Pediatric Medicine, Sidra Medicine, HB 6E 219, Al Luqta Street, Education City North Campus, PO Box 26999, Doha, Qatar
| | - Khalid Hussain
- Division of Endocrinology and Diabetes, Department of Pediatric Medicine, Sidra Medicine, HB 6E 219, Al Luqta Street, Education City North Campus, PO Box 26999, Doha, Qatar
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Kamusheva M, Tachkov K, Dimitrova M, Mitkova Z, García-Sáez G, Hernando ME, Goettsch W, Petrova G. A Systematic Review of Collective Evidences Investigating the Effect of Diabetes Monitoring Systems and Their Application in Health Care. Front Endocrinol (Lausanne) 2021; 12:636959. [PMID: 33796074 PMCID: PMC8008960 DOI: 10.3389/fendo.2021.636959] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 02/11/2021] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION Diabetes monitoring systems (DMS) are a possible approach for regular control of glucose levels in patients with Type 1 or 2 diabetes in order to improve therapeutic outcomes or to identify and modify inappropriate patient behaviors in a timely manner. Despite the significant number of studies observing the DMS, no collective evidence is available about the effect of all devices. GOAL To review and consolidate evidences from multiple systematic reviews on the diabetes monitoring systems and the outcomes achieved. MATERIALS AND METHODS Internet-based search in PubMed, EMBASE, and Cochrane was performed to identify all studies relevant to the research question. The data regarding type of intervention, type of diabetes mellitus, type of study, change in clinical parameter(s), or another relevant outcome were extracted and summarized. RESULTS Thirty-three out of 1,495 initially identified studies, involving more than 44,100 patients with Type 1, Type 2, or gestational diabetes for real-time or retrospective Continuous Glucose Monitoring (CGMS), Sensor Augmented Pump Therapy (SAPT), Self-monitoring Blood Glucose (SMBG), Continuous subcutaneous insulin infusion (CSII), Flash Glucose Monitoring (FGM), Closed-loop systems and telemonitoring, were included. Most of the studies observed small nominal effectiveness of DMS. In total 11 systematic reviews and 15 meta-analyses, with most focusing on patients with Type 1 diabetes (10 and 6, respectively), reported a reduction in glycated hemoglobin (HbA1c) levels from 0.17 to 0.70% after use of DMS. CONCLUSION Current systematic review of already published systematic reviews and meta-analyses suggests that no statistically significant difference exists between the values of HbA1c as a result of application of any type of DMS. The changes in HbA1c values, number and frequency of hypoglycemic episodes, and time in glucose range are the most valuable for assessing the appropriateness and effectiveness of DMS. Future more comprehensive studies assessing the effectiveness, cost-effectiveness, and comparative effectiveness of DMS are needed to stratify them for the most suitable diabetes patients' subgroups.
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Affiliation(s)
- Maria Kamusheva
- Faculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria
- *Correspondence: Maria Kamusheva,
| | | | - Maria Dimitrova
- Faculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria
| | - Zornitsa Mitkova
- Faculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria
| | - Gema García-Sáez
- Bioengineering and Telemedicine Group, Centro de Tecnología Biomédica, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
- CIBER-BBN: Networking Research Centre for Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain
| | - M. Elena Hernando
- Bioengineering and Telemedicine Group, Centro de Tecnología Biomédica, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
- CIBER-BBN: Networking Research Centre for Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain
| | - Wim Goettsch
- Utrecht Centre for Pharmaceutical Policy, Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, Netherlands
- National Health Care Institute (ZIN), Diemen, Netherlands
| | - Guenka Petrova
- Faculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria
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12
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“Feasibility test and application of AI in healthcare”—with special emphasis in clinical, pharmacovigilance, and regulatory practices. HEALTH AND TECHNOLOGY 2020. [DOI: 10.1007/s12553-020-00495-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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13
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Åm MK, Dirnena-Fusini I, Fougner AL, Carlsen SM, Christiansen SC. Intraperitoneal and subcutaneous glucagon delivery in anaesthetized pigs: effects on circulating glucagon and glucose levels. Sci Rep 2020; 10:13735. [PMID: 32792580 PMCID: PMC7426268 DOI: 10.1038/s41598-020-70813-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 07/07/2020] [Indexed: 12/18/2022] Open
Abstract
Glucagon is a pancreatic hormone and increases the blood glucose levels. It may be incorporated in a dual hormone artificial pancreas, a device to automatically and continuously control blood glucose levels of individuals with diabetes. Artificial pancreas systems have been developed for use in the subcutaneous tissue; however, the systems are not fully automated due to slow dynamics. The intraperitoneal space is therefore investigated as an alternative location for an artificial pancreas. Glucose dynamics after subcutaneous and intraperitoneal glucagon delivery in ten anaesthetized pigs were investigated. The pigs received intraperitoneal boluses of 0.3 µg/kg and 0.6 µg/kg and a subcutaneous bolus of 0.6 µg/kg in randomized order. They also received an intraperitoneal bolus of 1 mg given at the end of the experiments to test the remaining capacity of rapid glucose release. Six pigs were included in the statistical analysis. The intraperitoneal glucagon bolus of 0.6 µg/kg gave a significantly higher glucose response from 14 to 30 min compared with the subcutaneous bolus. The results indicate that glucagon induces a larger glucose response after intraperitoneal delivery compared with subcutaneous delivery and is encouraging for the incorporation of glucagon in an intraperitoneal artificial pancreas.
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Affiliation(s)
- Marte Kierulf Åm
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, 7491, Trondheim, Norway. .,Department of Endocrinology, St Olav's Hospital, Trondheim, Norway.
| | - Ilze Dirnena-Fusini
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, 7491, Trondheim, Norway.,Department of Endocrinology, St Olav's Hospital, Trondheim, Norway
| | - Anders Lyngvi Fougner
- Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Sven Magnus Carlsen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, 7491, Trondheim, Norway.,Department of Endocrinology, St Olav's Hospital, Trondheim, Norway
| | - Sverre Christian Christiansen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Postboks 8905, 7491, Trondheim, Norway.,Department of Endocrinology, St Olav's Hospital, Trondheim, Norway
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14
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Schoelwer MJ, Robic JL, Gautier T, Fabris C, Carr K, Clancy-Oliveri M, Brown SA, Anderson SM, DeBoer MD, Cherñavvsky DR, Breton MD. Safety and Efficacy of Initializing the Control-IQ Artificial Pancreas System Based on Total Daily Insulin in Adolescents with Type 1 Diabetes. Diabetes Technol Ther 2020; 22:594-601. [PMID: 32119790 DOI: 10.1089/dia.2019.0471] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Objective: To assess the safety and efficacy of a simplified initialization for the Tandem t:slim X2 Control-IQ hybrid closed-loop system, using parameters based on total daily insulin ("MyTDI") in adolescents with type 1 diabetes under usual activity and during periods of increased exercise. Research Design and Methods: Adolescents with type 1 diabetes 12-18 years of age used Control-IQ for 5 days at home using their usual parameters. Upon arrival at a 60-h ski camp, participants were randomized to either continue Control-IQ using their home settings or to reinitialize Control-IQ with MyTDI parameters. Control-IQ use continued for 5 days following camp. The effect of MyTDI on continuous glucose monitoring outcomes were analyzed using repeated measures analysis of variance (ANOVA): baseline, camp, and at home. Results: Twenty participants were enrolled and completed the study; two participants were excluded from the analysis due to absence from ski camp (1) and illness (1). Time in range was similar between both groups at home and camp. A tendency to higher time <70 mg/dL in the MyTDI group was present but only during camp (median 3.8% vs. 1.4%, P = 0.057). MyTDI users with bolus/TDI ratios >40% tended to show greater time in the euglycemic range improvements between baseline and home than users with ratios <40% (+16.3% vs. -9.0%, P = 0.012). All participants maintained an average of 95% time in closed loop (84.1%-100%). Conclusions: MyTDI is a safe, effective, and easy way to determine insulin parameters for use in the Control-IQ artificial pancreas. Future modifications to account for the influence of carbohydrate intake on MyTDI calculations might further improve time in range.
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Affiliation(s)
- Melissa J Schoelwer
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
- Department of Pediatrics, University of Virginia
| | - Jessica L Robic
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Thibault Gautier
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Chiara Fabris
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Kelly Carr
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Mary Clancy-Oliveri
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Sue A Brown
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
- Division of Endocrinology, Department of Medicine, University of Virginia
| | - Stacey M Anderson
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
- Division of Endocrinology, Department of Medicine, University of Virginia
| | - Mark D DeBoer
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Daniel R Cherñavvsky
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
- Dexcom, Inc., San Diego, California
| | - Marc D Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
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15
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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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16
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Ekhlaspour L, Forlenza GP, Chernavvsky D, Maahs DM, Wadwa RP, Deboer MD, Messer LH, Town M, Pinnata J, Kruse G, Kovatchev BP, Buckingham BA, Breton MD. Closed loop control in adolescents and children during winter sports: Use of the Tandem Control-IQ AP system. Pediatr Diabetes 2019; 20:759-768. [PMID: 31099946 PMCID: PMC6679803 DOI: 10.1111/pedi.12867] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 04/19/2019] [Accepted: 04/24/2019] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE Artificial pancreas (AP) systems have been shown to improve glycemic control throughout the day and night in adults, adolescents, and children. However, AP testing remains limited during intense and prolonged exercise in adolescents and children. We present the performance of the Tandem Control-IQ AP system in adolescents and children during a winter ski camp study, where high altitude, low temperature, prolonged intense activity, and stress challenged glycemic control. METHODS In a randomized controlled trial, 24 adolescents (ages 13-18 years) and 24 school-aged children (6-12 years) with Type 1 diabetes (T1D) participated in a 48 hours ski camp (∼5 hours skiing/day) at three sites: Wintergreen, VA; Kirkwood, and Breckenridge, CO. Study participants were randomized 1:1 at each site. The control group used remote monitored sensor-augmented pump (RM-SAP), and the experimental group used the t: slim X2 with Control-IQ Technology AP system. All subjects were remotely monitored 24 hours per day by study staff. RESULTS The Control-IQ system improved percent time within range (70-180 mg/dL) over the entire camp duration: 66.4 ± 16.4 vs 53.9 ± 24.8%; P = .01 in both children and adolescents. The AP system was associated with a significantly lower average glucose based on continuous glucose monitor data: 161 ± 29.9 vs 176.8 ± 36.5 mg/dL; P = .023. There were no differences between groups for hypoglycemia exposure or carbohydrate interventions. There were no adverse events. CONCLUSIONS The use of the Control-IQ AP improved glycemic control and safely reduced exposure to hyperglycemia relative to RM-SAP in pediatric patients with T1D during prolonged intensive winter sport activities.
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Affiliation(s)
- Laya Ekhlaspour
- Department of Pediatrics, Stanford University, Palo Alto, California
| | - Gregory P. Forlenza
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Daniel Chernavvsky
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - David M. Maahs
- Department of Pediatrics, Stanford University, Palo Alto, California,Stanford Diabetes Research Center, Stanford, California
| | - R. Paul Wadwa
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Mark D. Deboer
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Laurel H. Messer
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Marissa Town
- Department of Pediatrics, Stanford University, Palo Alto, California
| | - Jennifer Pinnata
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | | | - Boris P. Kovatchev
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Bruce A. Buckingham
- Department of Pediatrics, Stanford University, Palo Alto, California,Stanford Diabetes Research Center, Stanford, California
| | - Marc D. Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
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17
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Wildevuur SE, Simonse LW, Groenewegen P, Klink A. Information and communication technology enabling partnership in person-centred diabetes management: building a theoretical framework from an inductive case study in The Netherlands. BMJ Open 2019; 9:e025930. [PMID: 31209085 PMCID: PMC6589019 DOI: 10.1136/bmjopen-2018-025930] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 05/25/2019] [Accepted: 05/30/2019] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES The aim of this paper is to construct a theoretical framework for information and communication technology (ICT)-enabled partnership towards diabetes management. DESIGN We conducted an inductive case study and held interviews on the development and use of an artificial pancreas (AP) system for diabetes management. SETTING The study was carried out in the Netherlands with users of an AP system. PARTICIPANTS We interviewed six patients with type 1 diabetes, five healthcare professionals (two medical specialists and three diabetes nurses), and one policy advisor from the Ministry of Health, Welfare and Sport. RESULTS We built a new theoretical framework for ICT-enabled person-centred diabetes management, covering the central themes of self-managing the disease, shared analysing of (medical) data and experiencing the partnership. We found that ICT yielded new activities of data sharing and a new role for data professionals in the provision of care as well as contributed to carefree living thanks to the semiautomated management enabled by the device. Our data suggested that to enable the partnership through ICT, organisational adjustments need to be made such as the development of new ICT services and a viable financial model to support these services. CONCLUSION The management of diabetes through ICT requires an adjustment of the partnership between persons with the chronic condition and the healthcare professional(s) in such a way that the potential for self-managing the condition by analysing the newly available (medical) data (from the AP system) together leads to an experience of partnership between patients and healthcare professionals.
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Affiliation(s)
- Sabine E Wildevuur
- Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Waag | technology & society - Care, Amsterdam, The Netherlands
| | | | | | - Ab Klink
- Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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18
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Artificial Pancreas: Current Progress and Future Outlook in the Treatment of Type 1 Diabetes. Drugs 2019; 79:1089-1101. [DOI: 10.1007/s40265-019-01149-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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19
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Forlenza GP. Use of Artificial Intelligence to Improve Diabetes Outcomes in Patients Using Multiple Daily Injections Therapy. Diabetes Technol Ther 2019; 21:S24-S28. [PMID: 31169433 PMCID: PMC6551985 DOI: 10.1089/dia.2019.0077] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Gregory P. Forlenza
- University of Colorado Denver, Barbara Davis Center, Pediatric Endocrinology, Aurora, Colorado
- Address correspondence to: Gregory P. Forlenza, MD, Barbara Davis Center, University of Colorado Denver, 1775 Aurora CT, MS A140, Aurora, CO 80045
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20
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Forlenza GP, Ekhlaspour L, Breton M, Maahs DM, Wadwa RP, DeBoer M, Messer LH, Town M, Pinnata J, Kruse G, Buckingham BA, Cherñavvsky D. Successful At-Home Use of the Tandem Control-IQ Artificial Pancreas System in Young Children During a Randomized Controlled Trial. Diabetes Technol Ther 2019; 21:159-169. [PMID: 30888835 PMCID: PMC6909715 DOI: 10.1089/dia.2019.0011] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Hybrid closed-loop (HCL) artificial pancreas (AP) systems are now moving from research settings to widespread clinical use. In this study, the inControl algorithm developed by TypeZero Technologies was embedded to a commercial Tandem t:slim X2 insulin pump, now called Control-IQ, paired with a Dexcom G6 continuous glucose monitor and tested for superiority against sensor augmented pump (SAP) therapy. Both groups were physician-monitored throughout the clinical trial. RESEARCH DESIGN AND METHODS In a randomized controlled trial, 24 school-aged children (6-12 years) with type 1 diabetes (T1D) participated in a 3-day home-use trial at two sites: Stanford University and the Barbara Davis Center (50% girls, 9.6 ± 1.9 years of age, 4.5 ± 1.9 years of T1D, baseline hemoglobin A1c 7.35% ± 0.68%). Study subjects were randomized 1:1 at each site to either HCL AP therapy with the Control-IQ system or SAP therapy with remote monitoring. RESULTS The primary outcome, time in target range 70-180 mg/dL, using Control-IQ significantly improved (71.0% ± 6.6% vs. 52.8% ± 13.5%; P = 0.001) and mean sensor glucose (153.6 ± 13.5 vs. 180.2 ± 23.1 mg/dL; P = 0.003) without increasing hypoglycemia time <70 mg/dL (1.7% [1.3%-2.1%] vs. 0.9% [0.3%-2.7%]; not significant). The HCL system was active for 94.4% of the study period. Subjects reported that use of the system was associated with less time thinking about diabetes, decreased worry about blood sugars, and decreased burden in managing diabetes. CONCLUSIONS The use of the Tandem t:slim X2 with Control-IQ HCL AP system significantly improved time in range and mean glycemic control without increasing hypoglycemia in school-aged children with T1D during remote monitored home use.
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Affiliation(s)
- Gregory P. Forlenza
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Laya Ekhlaspour
- Department of Pediatrics, Stanford Diabetes Research Center, Stanford, California
| | - Marc Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - David M. Maahs
- Department of Pediatrics, Stanford Diabetes Research Center, Stanford, California
| | - R. Paul Wadwa
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Mark DeBoer
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - Laurel H. Messer
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Marissa Town
- Department of Pediatrics, Stanford Diabetes Research Center, Stanford, California
| | - Jennifer Pinnata
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | | | - Bruce A. Buckingham
- Department of Pediatrics, Stanford Diabetes Research Center, Stanford, California
| | - Daniel Cherñavvsky
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
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21
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Zavala E, Wedgwood KCA, Voliotis M, Tabak J, Spiga F, Lightman SL, Tsaneva-Atanasova K. Mathematical Modelling of Endocrine Systems. Trends Endocrinol Metab 2019; 30:244-257. [PMID: 30799185 PMCID: PMC6425086 DOI: 10.1016/j.tem.2019.01.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 01/23/2019] [Accepted: 01/25/2019] [Indexed: 12/12/2022]
Abstract
Hormone rhythms are ubiquitous and essential to sustain normal physiological functions. Combined mathematical modelling and experimental approaches have shown that these rhythms result from regulatory processes occurring at multiple levels of organisation and require continuous dynamic equilibration, particularly in response to stimuli. We review how such an interdisciplinary approach has been successfully applied to unravel complex regulatory mechanisms in the metabolic, stress, and reproductive axes. We discuss how this strategy is likely to be instrumental for making progress in emerging areas such as chronobiology and network physiology. Ultimately, we envisage that the insight provided by mathematical models could lead to novel experimental tools able to continuously adapt parameters to gradual physiological changes and the design of clinical interventions to restore normal endocrine function.
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Affiliation(s)
- Eder Zavala
- Living Systems Institute, University of Exeter, Exeter EX4 4QD, UK; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4QD, UK; Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter EX4 4QD, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK.
| | - Kyle C A Wedgwood
- Living Systems Institute, University of Exeter, Exeter EX4 4QD, UK; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4QD, UK; Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter EX4 4QD, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
| | - Margaritis Voliotis
- Living Systems Institute, University of Exeter, Exeter EX4 4QD, UK; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4QD, UK; Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter EX4 4QD, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
| | - Joël Tabak
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter EX4 4PS, UK
| | - Francesca Spiga
- Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, University of Bristol, Bristol BS1 3NY, UK
| | - Stafford L Lightman
- EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4QD, UK; Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, University of Bristol, Bristol BS1 3NY, UK
| | - Krasimira Tsaneva-Atanasova
- Living Systems Institute, University of Exeter, Exeter EX4 4QD, UK; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4QD, UK; Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter EX4 4QD, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
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22
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Karageorgiou V, Papaioannou TG, Bellos I, Alexandraki K, Tentolouris N, Stefanadis C, Chrousos GP, Tousoulis D. Effectiveness of artificial pancreas in the non-adult population: A systematic review and network meta-analysis. Metabolism 2019; 90:20-30. [PMID: 30321535 DOI: 10.1016/j.metabol.2018.10.002] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 09/20/2018] [Accepted: 10/09/2018] [Indexed: 01/19/2023]
Abstract
OBJECTIVE Artificial pancreas is a technology that minimizes user input by bridging continuous glucose monitoring and insulin pump treatment, and has proven safety in the adult population. The purpose of this systematic review and meta-analysis is to evaluate the efficacy of closed-loop (CL) systems in the glycemic control of non-adult type 1 diabetes patients in both a pairwise and network meta-analysis (NMA) context and investigate various parameters potentially affecting the outcome. METHODS Literature was systematically searched using the MEDLINE (1966-2018), Scopus (2004-2018), Cochrane Central Register of Controlled Trials (CENTRAL) (1999-2018), Clinicaltrials.gov (2008-2018) and Google Scholar (2004-2018) databases. Studies comparing the glycemic control in CL (either single- or dual-hormone) with continuous subcutaneous insulin infusion (CSII) in people with diabetes (PWD) aged <18 years old were deemed eligible. The primary outcome analysis was conducted with regard to time spent in the target glycemic range. All outcomes were evaluated in NMA in order to investigate potential between-algorithm differences. Pairwise meta-analysis and meta-regression were performed using the RevMan 5.3 and Open Meta-Analyst software. For NMA, the package pcnetmetain R 3.5.1 was used. RESULTS The meta-analysis was based on 25 studies with a total of 504 PWD. The CL group was associated with significantly higher percentage of time spent in the target glycemic range (Mean (SD): 67.59% (SD: 8.07%) in the target range and OL PWD spending 55.77% (SD: 11.73%), MD: -11.97%, 95% CI [-18.40, -5.54%]) and with lower percentages of time in hyperglycemia (MD: 3.01%, 95% CI [1.68, 4.34%]) and hypoglycemia (MD: 0.67%, 95% CI [0.21, 1.13%]. Mean glucose was also decreased in the CL group (MD: 0.75 mmol/L, 95% CI [0.18-1.33]). The NMA arm of the study showed that the bihormonal modality was superior to other algorithms and standard treatment in lowering mean glucose and increasing time spent in the target range. The DiAs platform was superior to PID in controlling hypoglycemia and mean glucose. Time in target range and mean glucose were unaffected by the confounding factors tested. CONCLUSIONS The findings of this meta-analysis suggest that artificial pancreas systems are superior to the standard sensor-augmented pump treatment of type 1 diabetes mellitus in non-adult PWD. Between-algorithm differences are also addressed, implying a superiority of the bihormonal treatment modality. Future large-scale studies are needed in the field to verify these outcomes and to determine the optimal algorithm to be used in the clinical setting.
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Affiliation(s)
- Vasilios Karageorgiou
- First Department of Cardiology, Biomedical Engineering Unit, Hippokration Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Theodoros G Papaioannou
- First Department of Cardiology, Biomedical Engineering Unit, Hippokration Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Ioannis Bellos
- First Department of Cardiology, Biomedical Engineering Unit, Hippokration Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Krystallenia Alexandraki
- Clinic of Endocrine Oncology, Section of Endocrinology, Department of Pathophysiology, Laiko Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Tentolouris
- First Department of Propaedeutic Internal Medicine, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | | | - George P Chrousos
- First Department of Pediatrics, Aghia Sophia Children's Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios Tousoulis
- First Department of Cardiology, Biomedical Engineering Unit, Hippokration Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Effect of sensor location on continuous intraperitoneal glucose sensing in an animal model. PLoS One 2018; 13:e0205447. [PMID: 30300416 PMCID: PMC6177183 DOI: 10.1371/journal.pone.0205447] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 09/25/2018] [Indexed: 12/02/2022] Open
Abstract
Background In diabetes research, the development of the artificial pancreas has been a major topic since continuous glucose monitoring became available in the early 2000’s. A prerequisite for an artificial pancreas is fast and reliable glucose sensing. However, subcutaneous continuous glucose monitoring carries the disadvantage of slow dynamics. As an alternative, we explored continuous glucose sensing in the peritoneal space, and investigated potential spatial differences in glucose dynamics within the peritoneal cavity. As a secondary outcome, we compared the glucose dynamics in the peritoneal space to the subcutaneous tissue. Material and methods Eight-hour experiments were conducted on 12 anesthetised non-diabetic pigs. Four commercially available amperometric glucose sensors (FreeStyle Libre, Abbott Diabetes Care Ltd., Witney, UK) were inserted in four different locations of the peritoneal cavity and two sensors were inserted in the subcutaneous tissue. Meals were simulated by intravenous infusions of glucose, and frequent arterial blood and intraperitoneal fluid samples were collected for glucose reference. Results No significant differences were discovered in glucose dynamics between the four quadrants of the peritoneal cavity. The intraperitoneal sensors responded faster to the glucose excursions than the subcutaneous sensors, and the time delay was significantly smaller for the intraperitoneal sensors, but we did not find significant results when comparing the other dynamic parameters.
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Dadlani V, Pinsker JE, Dassau E, Kudva YC. Advances in Closed-Loop Insulin Delivery Systems in Patients with Type 1 Diabetes. Curr Diab Rep 2018; 18:88. [PMID: 30159816 DOI: 10.1007/s11892-018-1051-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
To provide a current review of closed-loop insulin delivery or artificial pancreas (AP) as therapy for people with type 1 diabetes mellitus (T1D) RECENT FINDINGS: The Medtronic Minimed 670G AP system has been in use in clinical practice since March 2017. Currently, Medtronic is conducting a large randomized clinical trial to evaluate its efficacy further in T1D. Simultaneously, the NIH has funded four research consortia to accelerate progress to approval of other AP and decision support systems. Several research groups are currently developing next-generation AP systems, with a number of companies moving toward releasing closed-loop systems in the future. AP systems are also being tested in select populations such as hypoglycemia-unaware T1D and pregnant T1D. AP research is rapidly advancing. The clinical range of AP will be expanded in the next decade.
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Affiliation(s)
- Vikash Dadlani
- Endocrine Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55902, USA
| | - Jordan E Pinsker
- Sansum Diabetes Research Institute, 2219 Bath Street, Santa Barbara, CA, 93105, USA
| | - Eyal Dassau
- Sansum Diabetes Research Institute, 2219 Bath Street, Santa Barbara, CA, 93105, USA
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 29 Oxford St, Cambridge, MA, USA
- Joslin Diabetes Center, Boston, MA, USA
| | - Yogish C Kudva
- Endocrine Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55902, USA.
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