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Ferguson AM, Lin AC. Themes, Rates, and Risk of Adverse Events of the Artificial Pancreas in the United States Using MAUDE. Ann Biomed Eng 2024; 52:2282-2286. [PMID: 38740730 PMCID: PMC11247049 DOI: 10.1007/s10439-024-03529-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 04/26/2024] [Indexed: 05/16/2024]
Abstract
Three manufacturers sell artificial pancreas systems in the United States for management of Type 1 Diabetes. Given the life-saving task required of an artificial pancreas there needs to be a high level of trust and safety in the devices. This evaluation sought to find the adjusted safety event reporting rate and themes along with device-associated risk in events reported utilizing the MAUDE database. We searched device names in the MAUDE database over the period from 2016 until August 2023 (the date of retrieval). Thematic analysis was performed using dual-reviewer examination with a 96% concurrence. Relative risk (RR) was calculated for injury, malfunction, and overall, for each manufacturer, as well as adjusted event rate per manufacturer. Most events reported related to defects in the manufacturing of the casing materials which resulted in non-delivery of therapy. Tandem Diabetes Care, Inc. had an adjusted event rate of 50 per 100,000 units and RR of 0.0225. Insulet had an adjusted event rate of 300 per 100,000 units and RR of 0.1684. Medtronic has an adjusted event rate of 2771.43 per 100,000 units and RR of 20.7857. The newer Medtronic devices show improvements in likely event rate. While the artificial pancreas is still in its infancy, these event rates are not at an acceptable level for a device which can precipitate death from malfunctions. Further exploration into safety events and much more research and development is needed for devices to reduce the event rates. Improved manufacturing practices, especially the casing materials, are highly recommended. The artificial pancreas holds promise for millions but must be improved before it becomes a true life-saving device that it has the potential to become.
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Affiliation(s)
- Andrew M Ferguson
- University of Cincinnati College of Medicine, Cincinnati, USA.
- University of Cincinnati College of Pharmacy, Cincinnati, USA.
| | - Alex C Lin
- University of Cincinnati College of Pharmacy, Cincinnati, USA
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2
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Olid-Cárdenas MJ, Lendínez-Jurado A, Monroy-Rodríguez G, Gómez-Perea A, Cano-Ortiz A, Ariza-Jiménez AB, García-Ruiz A, Jiménez-Cuenca P, Picón-César MJ, Leiva-Gea I. Real-World Use of Hybrid Closed-Loop Systems during Diabetes Camp: A Preliminary Study for Secure Configuration Strategies in Children and Adolescents. Nutrients 2024; 16:2210. [PMID: 39064653 PMCID: PMC11279836 DOI: 10.3390/nu16142210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
The introduction of closed-loop systems in the pediatric population has been a revolution in the management and evolution of diabetes. However, there are not many published studies in situations in which the feeding, schedules, and activities of the children deviate from the routine for which the systems were programmed, as in the case of a summer camp for children and adolescents with diabetes, where the specific programming of this device is not well known. It was a single-center prospective preliminary study. A total of twenty-seven patients (mean age 11.9 ± 1.9 years, 40% male, duration of diabetes 6.44 ± 2.83 years) were included (twenty with Medtronic MiniMed 780G system and seven with Tandem Control-IQ). Glucometric variables and pump functionality were monitored during the 7-day camp and in the following 3 weeks. There was no decrease from the objective TIR 70% at any moment. The worst results in Time Below Range were at 72 h from starting the camp, and the worst results in Time Above Range were in the first 24 h, with a progressive improvement after that. No episodes of level 3 hypoglycemia or ketoacidosis occurred. The use of specific programming in two integrated systems, with complex blood glucose regulation algorithms and not-prepared-for situations with increased levels of physical activity or abrupt changes in feeding routines, did not result in an increased risk of level 3 hypoglycemia and ketoacidosis for our pediatric type 1 diabetes (T1D) patients, regardless of the closed-loop device.
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Affiliation(s)
- María José Olid-Cárdenas
- Department of Marketing and Communication, Faculty of Communication, European University of Madrid, 28670 Villaviciosa de Odón, Spain;
- Faculty of Tourism, University of Malaga, Campus de Teatinos s/n, 29071 Málaga, Spain
- Andalucía Tech, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain;
| | - Alfonso Lendínez-Jurado
- Andalucía Tech, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain;
- Department of Pediatric Endocrinology, Hospital Regional Universitario de Málaga, 29011 Málaga, Spain; (A.G.-P.); (P.J.-C.)
- Distrito Sanitario Málaga-Guadalhorce, 29009 Málaga, Spain;
| | - Gabriela Monroy-Rodríguez
- Department of Endocrinology and Nutrition, Parc Sanitari Sant Joan de Déu, 08830 Sant Boi de Llobregat, Spain
- Instituto de Investigación Sant Joan de Déu, 08950 Barcelona, Spain
| | - Ana Gómez-Perea
- Department of Pediatric Endocrinology, Hospital Regional Universitario de Málaga, 29011 Málaga, Spain; (A.G.-P.); (P.J.-C.)
- Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain;
| | - Ana Cano-Ortiz
- Department of Didactics of Experimental, Social and Mathematical Sciences, Faculty of Education, Complutense University of Madrid, 28040 Madrid, Spain;
| | - Ana B. Ariza-Jiménez
- Department of Pediatric Endocrinology, Hospital Universitario Reina Sofía, 14004 Córdoba, Spain;
- Faculty of Medicine, University of Córdoba, Av. Menéndez Pidal, 7, 14004 Córdoba, Spain
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), 14004 Córdoba, Spain
| | | | - Patricia Jiménez-Cuenca
- Department of Pediatric Endocrinology, Hospital Regional Universitario de Málaga, 29011 Málaga, Spain; (A.G.-P.); (P.J.-C.)
| | - María José Picón-César
- Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain;
- Department of Endocrinology and Nutrition, Hospital Universitario Virgen de la Victoria, 29010 Málaga, Spain
- Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Isabel Leiva-Gea
- Andalucía Tech, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain;
- Department of Pediatric Endocrinology, Hospital Regional Universitario de Málaga, 29011 Málaga, Spain; (A.G.-P.); (P.J.-C.)
- Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain;
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Prahalad P, Scheinker D, Desai M, Ding VY, Bishop FK, Lee MY, Ferstad J, Zaharieva DP, Addala A, Johari R, Hood K, Maahs DM. Equitable implementation of a precision digital health program for glucose management in individuals with newly diagnosed type 1 diabetes. Nat Med 2024; 30:2067-2075. [PMID: 38702523 DOI: 10.1038/s41591-024-02975-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 04/03/2024] [Indexed: 05/06/2024]
Abstract
Few young people with type 1 diabetes (T1D) meet glucose targets. Continuous glucose monitoring improves glycemia, but access is not equitable. We prospectively assessed the impact of a systematic and equitable digital-health-team-based care program implementing tighter glucose targets (HbA1c < 7%), early technology use (continuous glucose monitoring starts <1 month after diagnosis) and remote patient monitoring on glycemia in young people with newly diagnosed T1D enrolled in the Teamwork, Targets, Technology, and Tight Control (4T Study 1). Primary outcome was HbA1c change from 4 to 12 months after diagnosis; the secondary outcome was achieving the HbA1c targets. The 4T Study 1 cohort (36.8% Hispanic and 35.3% publicly insured) had a mean HbA1c of 6.58%, 64% with HbA1c < 7% and mean time in the range (70-180 mg dl-1) of 68% at 1 year after diagnosis. Clinical implementation of the 4T Study 1 met the prespecified primary outcome and improved glycemia without unexpected serious adverse events. The strategies in the 4T Study 1 can be used to implement systematic and equitable care for individuals with T1D and translate to care for other chronic diseases. ClinicalTrials.gov registration: NCT04336969 .
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Affiliation(s)
- Priya Prahalad
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA.
| | - David Scheinker
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
- Clinical Excellence Research Center, Stanford University, Stanford, CA, USA
| | - Manisha Desai
- Department of Medicine, Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
| | - Victoria Y Ding
- Department of Medicine, Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
| | - Franziska K Bishop
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Ming Yeh Lee
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
| | - Johannes Ferstad
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| | - Dessi P Zaharieva
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
| | - Ananta Addala
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Ramesh Johari
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| | - Korey Hood
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - David M Maahs
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
- Department of Health Research and Policy (Epidemiology), Stanford University, Stanford, CA, USA
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Wang YY, Ying HM, Tian F, Qian XL, Zhou ZF, Zhou CC. Automated insulin delivery in children with type 1 diabetes during physical activity: a meta-analysis. J Pediatr Endocrinol Metab 2024; 37:505-515. [PMID: 38700489 DOI: 10.1515/jpem-2024-0098] [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: 02/24/2024] [Accepted: 04/18/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVES The aim of this study was to evaluate the performance of the automated insulin delivery (AID) in adolescents, and children with type 1 diabetes (T1D) during physical activity. METHODS Relevant studies were searched electronically in the Cochrane Library, PubMed, and Embase utilizing the key words "Child", "Insulin Infusion Systems", and "Diabetes Mellitus" from inception to 17th March 2024 to evaluate the performance of the AID in adolescents, and children with T1D during physical activity. RESULTS Twelve studies involving 514 patients were identified. AID did not show a beneficial effect on duration of hypoglycemia<70 mg/dL during study period (p>0.05; I2=96 %) and during the physical activity (p>0.99). Percentage of sensor glucose values in TIR was higher in AID than the non-AID pumps during study period (p<0.001; I2=94 %). The duration of hyperglycemic time was significantly decreased in AID group compared to the non-AID pumps group during study period (p<0.05; I2>50 %). CONCLUSIONS AID improved TIR and decreased the duration of hyperglycemic time, but did not appear to have a significant beneficial effect on the already low post-exercise duration of hypoglycemia achievable by open loop or sensor-augmented pumps in adolescents and children with T1D during physical activity; further research is needed to confirm the beneficial effect of AID on duration of hypoglycemia.
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Affiliation(s)
- Yuan-Yuan Wang
- Department of Endocrinology, 631689 Xixi Hospital of Hangzhou , Hangzhou, Zhejiang Province, P.R. China
| | - Hui-Min Ying
- Department of Endocrinology, 631689 Xixi Hospital of Hangzhou , Hangzhou, Zhejiang Province, P.R. China
| | - Fang Tian
- Department of Endocrinology, 631689 Xixi Hospital of Hangzhou , Hangzhou, Zhejiang Province, P.R. China
| | - Xiao-Lu Qian
- Department of Endocrinology, 631689 Xixi Hospital of Hangzhou , Hangzhou, Zhejiang Province, P.R. China
| | - Zhen-Feng Zhou
- Department of Anesthesiology, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital, Hangzhou First People's Hospital Qianjiang New City Campus, Zhejiang Chinese Medical University), Hangzhou, P.R. China
| | - Chun-Cong Zhou
- Department of Urolithiasis and Anorectal Surgery, Ningbo No. 2 Hospital, Ningbo, Zhejiang Province, P.R. China
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5
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Phillip M, Kowalski A, Battelino T. Type 1 diabetes: from the dream of automated insulin delivery to a fully artificial pancreas. Nat Med 2024; 30:1232-1234. [PMID: 38448742 DOI: 10.1038/d41591-024-00013-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
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Elbarbary NS, Ismail EAR. Mitigating iftar-related glycemic excursions in adolescents and young adults with type 1 diabetes on MiniMed™ 780G advanced hybrid closed loop system: a randomized clinical trial for adjunctive oral vildagliptin therapy during Ramadan fasting. Diabetol Metab Syndr 2023; 15:257. [PMID: 38057844 DOI: 10.1186/s13098-023-01232-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/25/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Ramadan Iftar meal typically causes glucose excursions. Dipeptidyl peptidase-4 inhibitors increase glucagon-like peptide-1 and thus, decrease blood glucose levels with low risk of hypoglycemia. AIM To investigate the efficacy and safety of vildagliptin as an add-on therapy on glucose excursions of Iftar Ramadan meals among adolescents and young adults with type 1 diabetes mellitus (T1DM) using advanced hybrid closed-loop (AHCL) treatment. METHODS Fifty T1DM patients on MiniMed™ 780G AHCL were randomly assigned either to receive vildagliptin (50 mg tablet) with iftar meal during Ramadan month or not. All participants received pre-meal insulin bolus based on insulin-to-carbohydrate ratio (ICR) for each meal constitution. RESULTS Vildagliptin offered blunting of post-meal glucose surges (mean difference - 30.3 mg/dL [- 1.7 mmol/L] versus - 2.9 mg/dL [- 0.2 mmol/L] in control group; p < 0.001) together with concomitant exceptional euglycemia with time in range (TIR) significantly increased at end of Ramadan in intervention group from 77.8 ± 9.6% to 84.7 ± 8.3% (p = 0.016) and time above range (180-250 mg/dL) decreased from 13.6 ± 5.1% to 9.7 ± 3.6% (p = 0.003) without increasing hypoglycemia. A significant reduction was observed in automated daily correction boluses and total bolus dose by 23.9% and 16.3% (p = 0.015 and p < 0.023, respectively) with less aggressive ICR settings within intervention group at end of Ramadan. Coefficient of variation was improved from 37.0 ± 9.4% to 31.8 ± 7.1%; p = 0.035). No severe hypoglycemia or diabetic ketoacidosis were reported. CONCLUSION Adjunctive vildagliptin treatment mitigated postprandial hyperglycemia compared with pre-meal bolus alone. Vildagliptin significantly increased TIR while reducing glycemic variability without compromising safety. Trial registration This trial was registered under ClinicalTrials.gov Identifier no. NCT06021119.
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Affiliation(s)
- Nancy Samir Elbarbary
- Department of Pediatrics, Faculty of Medicine, Ain Shams University, 25 Ahmed Fuad St. Saint Fatima, Heliopolis, Cairo, 11361, Egypt.
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Guan Z, Li H, Liu R, Cai C, Liu Y, Li J, Wang X, Huang S, Wu L, Liu D, Yu S, Wang Z, Shu J, Hou X, Yang X, Jia W, Sheng B. Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Cell Rep Med 2023; 4:101213. [PMID: 37788667 PMCID: PMC10591058 DOI: 10.1016/j.xcrm.2023.101213] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 08/07/2023] [Accepted: 09/08/2023] [Indexed: 10/05/2023]
Abstract
The increasing prevalence of diabetes, high avoidable morbidity and mortality due to diabetes and diabetic complications, and related substantial economic burden make diabetes a significant health challenge worldwide. A shortage of diabetes specialists, uneven distribution of medical resources, low adherence to medications, and improper self-management contribute to poor glycemic control in patients with diabetes. Recent advancements in digital health technologies, especially artificial intelligence (AI), provide a significant opportunity to achieve better efficiency in diabetes care, which may diminish the increase in diabetes-related health-care expenditures. Here, we review the recent progress in the application of AI in the management of diabetes and then discuss the opportunities and challenges of AI application in clinical practice. Furthermore, we explore the possibility of combining and expanding upon existing digital health technologies to develop an AI-assisted digital health-care ecosystem that includes the prevention and management of diabetes.
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Affiliation(s)
- Zhouyu Guan
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Huating Li
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Ruhan Liu
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Furong Laboratory, Changsha, Hunan 41000, China
| | - Chun Cai
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Yuexing Liu
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Jiajia Li
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiangning Wang
- Department of Ophthalmology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Shan Huang
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Liang Wu
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Dan Liu
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Shujie Yu
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Zheyuan Wang
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jia Shu
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xuhong Hou
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China
| | - Xiaokang Yang
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Weiping Jia
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China.
| | - Bin Sheng
- Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China; MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
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8
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Jacobsen LM, Sherr JL, Considine E, Chen A, Peeling SM, Hulsmans M, Charleer S, Urazbayeva M, Tosur M, Alamarie S, Redondo MJ, Hood KK, Gottlieb PA, Gillard P, Wong JJ, Hirsch IB, Pratley RE, Laffel LM, Mathieu C. Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review. COMMUNICATIONS MEDICINE 2023; 3:132. [PMID: 37794113 PMCID: PMC10550996 DOI: 10.1038/s43856-023-00358-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care. METHODS Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years). RESULTS We find that novel technologies, ranging from continuous glucose monitoring systems, insulin pumps and decision support tools to the most advanced hybrid closed loop systems, improve important measures like HbA1c, time in range, and glycemic variability, while reducing hypoglycemia risk. Several studies included person-reported outcomes, allowing assessment of the burden or benefit of the technology in the lives of those with type 1 diabetes, demonstrating positive results or, at a minimum, no increase in self-care burden compared with standard care. Important limitations of the trials to date are their small size, the scarcity of pre-planned or powered analyses in sub-populations such as children, racial/ethnic minorities, people with advanced complications, and variations in baseline glycemic levels. In addition, confounders including education with device initiation, concomitant behavioral modifications, and frequent contact with the healthcare team are rarely described in enough detail to assess their impact. CONCLUSIONS Our review highlights the potential of technology in the treatment of people living with type 1 diabetes and provides suggestions for optimization of outcomes and areas of further study for precision medicine-directed technology use in type 1 diabetes.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mustafa Tosur
- Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Selma Alamarie
- Stanford University School of Medicine, Stanford, CA, USA
| | - Maria J Redondo
- Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Peter A Gottlieb
- Barbara Davis Center, University of Colorado School of Medicine, Aurora, CO, USA
| | | | - Jessie J Wong
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | | | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
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9
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Blanco CL, Smith V, Ramel SE, Martin CR. Dilemmas in parenteral glucose delivery and approach to glucose monitoring and interpretation in the neonate. J Perinatol 2023; 43:1200-1205. [PMID: 36964206 DOI: 10.1038/s41372-023-01640-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 12/16/2022] [Accepted: 02/23/2023] [Indexed: 03/26/2023]
Abstract
Glucose control continues to be challenging for intensivists, in particular in high-risk neonates. Many factors play a role in glucose regulation including intrinsic and extrinsic factors. Optimal targets for euglycemia are debatable with uncertain short and long-term effects. Glucose measurement technology has continued to advance over the past decade; unfortunately, the availability of these advanced devices outside of research continues to be problematic. Treatment approaches should be individualized depending on etiology, symptoms, and neonatal conditions. Glucose infusions should be titrated based upon variations in organ glucose uptake, co-morbidities and postnatal development. In this article we summarize the most common dilemmas encountered in the NICU: ranges for euglycemia, physiological differences, approach for glucose measurements, monitoring and best strategies to control parenteral glucose delivery.
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Affiliation(s)
- Cynthia L Blanco
- Department of Pediatrics, University of Texas Health Science Center San Antonio, San Antonio, TX, USA.
| | - Victor Smith
- Department of Pediatrics, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Sara E Ramel
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Camilia R Martin
- Department of Pediatrics, Weill Cornell Medicine, New York, NY, USA
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10
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Cardona-Hernandez R, Dôvc K, Biester T, Ekhlaspour L, Macedoni M, Tauschmann M, Mameli C. New therapies towards a better glycemic control in youths with type 1 diabetes. Pharmacol Res 2023; 195:106882. [PMID: 37543096 PMCID: PMC11073821 DOI: 10.1016/j.phrs.2023.106882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/10/2023] [Accepted: 08/02/2023] [Indexed: 08/07/2023]
Abstract
Type 1 diabetes (T1D) is the most frequent form of diabetes in pediatric age, affecting more than 1.5 million people younger than age 20 years worldwide. Early and intensive control of diabetes provides continued protection against both microvascular and macrovascular complications, enhances growth, and ensures normal pubertal development. In the absence of definitive reversal therapy for this disease, achieving and maintaining the recommended glycemic targets is crucial. In the last 30 years, enormous progress has been made using technology to better treat T1D. In spite of this progress, the majority of children, adolescents and young adults do not reach the recommended targets for glycemic control and assume a considerable burden each day. The development of promising new therapeutic advances, such as more physiologic insulin analogues, pioneering diabetes technology including continuous glucose monitoring and closed loop systems as well as new adjuvant drugs, anticipate a new paradigm in T1D management over the next few years. This review presents insights into current management of T1D in youths.
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Affiliation(s)
| | - Klemen Dôvc
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia; Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, Ljubljana, Slovenia
| | - Torben Biester
- AUF DER BULT, Diabetes Center for Children and Adolescents, Hannover, Germany
| | - Laya Ekhlaspour
- Department of Pediatrics, Division of Endocrinology. University of California, San Francisco, CA, United States
| | | | - Martin Tauschmann
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Chiara Mameli
- Department of Pediatrics, V. Buzzi Children's Hospital, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
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11
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Dovc K, Bergford S, Fröhlich-Reiterer E, Zaharieva DP, Potocnik N, Müller A, Lenarcic Z, Calhoun P, Fritsch M, Sourij H, Bratina N, Kollman C, Battelino T. A Comparison of Faster Insulin Aspart with Standard Insulin Aspart Using Hybrid Automated Insulin Delivery System in Active Children and Adolescents with Type 1 Diabetes: A Randomized Double-Blind Crossover Trial. Diabetes Technol Ther 2023; 25:612-621. [PMID: 37404205 PMCID: PMC10460686 DOI: 10.1089/dia.2023.0178] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Objective: To evaluate the use of faster acting (FIA) and standard insulin aspart (SIA) with hybrid automated insulin delivery (AID) in active youth with type 1 diabetes. Research Design and Methods: In this double-blind multinational randomized crossover trial, 30 children and adolescents with type 1 diabetes (16 females; aged 15.0 ± 1.7 years; baseline HbA1c 7.5% ± 0.9% [58 ± 9.8 mmol/mol]) underwent two unrestricted 4-week periods using hybrid AID with either FIA or SIA in random order. During both interventions, participants were using the hybrid AID (investigational version of MiniMed™ 780G; Medtronic). Participants were encouraged to exercise as frequently as possible, capturing physical activity with an activity monitor. The primary outcome was the percentage of sensor glucose time above range (180 mg/dL [10.0 mmol/L]) measured by continuous glucose monitoring. Results: In an intention-to-treat analysis, mean time above range was 31% ± 15% at baseline, 19% ± 6% during FIA use, and 20% ± 6% during SIA use with no difference between treatments: mean difference = -0.9%; 95% CI: -2.4% to 0.6%; P = 0.23. Similarly, there was no difference in mean time in range (TIR) (78% and 77%) or median time below range (2.5% and 2.8%). Glycemic outcomes during exercise or postprandial periods were comparable for the two treatment arms. No severe hypoglycemia or diabetic ketoacidosis events occurred. Conclusions: FIA was not superior to SIA with hybrid AID system use in physically active children and adolescents with type 1 diabetes. Nonetheless, both insulin formulations enabled high overall TIR and low time above and below ranges, even during and after documented exercise. Trial Registration Clinicaltrials.gov: NCT04853030.
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Affiliation(s)
- Klemen Dovc
- Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Simon Bergford
- Jaeb Center for Health Research Foundation, Inc., Tampa, Florida, USA
| | - Elke Fröhlich-Reiterer
- Department of Pediatrics and Adolescent Medicine, Medical University Graz, Graz, Austria
| | - Dessi P. Zaharieva
- Division of Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Nejka Potocnik
- Faculty of Medicine, Institute of Physiology, University of Ljubljana, Ljubljana, Slovenia
| | - Alexander Müller
- Interdisciplinary Metabolic Medicine Trials Unit, Medical University of Graz, Graz, Austria
| | - Ziva Lenarcic
- Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Peter Calhoun
- Jaeb Center for Health Research Foundation, Inc., Tampa, Florida, USA
| | - Maria Fritsch
- Department of Pediatrics and Adolescent Medicine, Medical University Graz, Graz, Austria
| | - Harald Sourij
- Division of Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Natasa Bratina
- Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Craig Kollman
- Jaeb Center for Health Research Foundation, Inc., Tampa, Florida, USA
| | - Tadej Battelino
- Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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12
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Chisnoiu T, Balasa AL, Mihai L, Lupu A, Frecus CE, Ion I, Andrusca A, Pantazi AC, Nicolae M, Lupu VV, Ionescu C, Mihai CM, Cambrea SC. Continuous Glucose Monitoring in Transient Neonatal Diabetes Mellitus-2 Case Reports and Literature Review. Diagnostics (Basel) 2023; 13:2271. [PMID: 37443665 DOI: 10.3390/diagnostics13132271] [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: 04/25/2023] [Revised: 06/03/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Neonatal diabetes mellitus is a rare genetic disease that affects 1 in 90,000 live births. The start of the disease is often before the baby is 6 months old, with rare cases of onset between 6 months and 1 year. It is characterized by low or absent insulin levels in the blood, leading to severe hyperglycemia in the patient, which requires temporary insulin therapy in around 50% of cases or permanent insulin therapy in other cases. Two major processes involved in diabetes mellitus are a deformed pancreas with altered insulin-secreting cell development and/or survival or faulty functioning of the existing pancreatic beta cell. We will discuss the cases of two preterm girls with neonatal diabetes mellitus in this research. In addition to reviewing the literature on the topic, we examined the different mutations, patient care, and clinical outcomes both before and after insulin treatment.
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Affiliation(s)
- Tatiana Chisnoiu
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Adriana Luminita Balasa
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Larisia Mihai
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Ancuta Lupu
- Pediatrics, "Grigore T. Popa", Department of Mother and Child Medicine, University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Corina Elena Frecus
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Irina Ion
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Antonio Andrusca
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Alexandru Cosmin Pantazi
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Maria Nicolae
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Vasile Valeriu Lupu
- Pediatrics, "Grigore T. Popa", Department of Mother and Child Medicine, University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Constantin Ionescu
- Department 1 Preclinical, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
| | - Cristina Maria Mihai
- Department of Pediatrics, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
- Pediatrics, County Clinical Emergency Hospital of Constanta, 900591 Constanta, Romania
| | - Simona Claudia Cambrea
- Department of Infectious Diseases, Faculty of General Medicine, "Ovidius" University, 900470 Constanta, Romania
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13
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Castellanos LE, Russell SJ, Damiano ER, Beck RW, Shah VN, Bailey R, Calhoun P, Bird K, Mauras N. The Insulin-Only Bionic Pancreas Improves Glycemic Control in Non-Hispanic White and Minority Adults and Children With Type 1 Diabetes. Diabetes Care 2023; 46:1185-1190. [PMID: 37000680 PMCID: PMC10234742 DOI: 10.2337/dc22-1478] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 03/03/2023] [Indexed: 04/01/2023]
Abstract
OBJECTIVE We evaluated the performance of the iLet bionic pancreas (BP) in non-Hispanic White individuals (here referred to as "Whites") and in Black, Hispanic, and other individuals (here collectively referred to as "Minorities"). RESEARCH DESIGN AND METHODS A multicenter, randomized controlled trial evaluated glycemic management with the BP versus standard of care (SC) in 161 adult and 165 pediatric participants with type 1 diabetes over 13 weeks. RESULTS In Whites (n = 240), the mean baseline-adjusted difference in 13-week HbA1c between the BP and SC groups was -0.45% (95% CI -0.61 to -0.29 [-4.9 mmol/mol; -6.6 to -3.1]; P < 0.001), while this difference among Minorities (n = 84) was -0.53% (-0.83 to -0.24 [-6.0 mmol/mol; -9.2 to -2.8]; P < 0.001). In Whites, the mean baseline-adjusted difference in time in range between the BP and SC groups was 10% (95% CI 7-12; P < 0.001) and in Minorities was 14% (10-18; P < 0.001). CONCLUSIONS The BP improves glycemic control in both Whites and Minorities and offers promise in decreasing health care disparities.
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Affiliation(s)
| | | | | | | | - Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO
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14
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Juneja D, Deepak D, Nasa P. What, why and how to monitor blood glucose in critically ill patients. World J Diabetes 2023; 14:528-538. [PMID: 37273246 PMCID: PMC10236998 DOI: 10.4239/wjd.v14.i5.528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/17/2023] [Accepted: 03/07/2023] [Indexed: 05/15/2023] Open
Abstract
Critically ill patients are prone to high glycemic variations irrespective of their diabetes status. This mandates frequent blood glucose (BG) monitoring and regulation of insulin therapy. Even though the most commonly employed capillary BG monitoring is convenient and rapid, it is inaccurate and prone to high bias, overestimating BG levels in critically ill patients. The targets for BG levels have also varied in the past few years ranging from tight glucose control to a more liberal approach. Each of these has its own fallacies, while tight control increases risk of hypoglycemia, liberal BG targets make the patients prone to hyperglycemia. Moreover, the recent evidence suggests that BG indices, such as glycemic variability and time in target range, may also affect patient outcomes. In this review, we highlight the nuances associated with BG monitoring, including the various indices required to be monitored, BG targets and recent advances in BG monitoring in critically ill patients.
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Affiliation(s)
- Deven Juneja
- Institute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110017, India
| | - Desh Deepak
- Department of Critical Care, King's College Hospital, Dubai 340901, United Arab Emirates
| | - Prashant Nasa
- Department of Critical Care, NMC Speciality Hospital, Dubai 7832, United Arab Emirates
- Department of Critical Care, College of Medicine and Health Sciences, Al Ain 15551, United Arab Emirates
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15
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Šumnik Z, Pavlíková M, Neuman V, Petruželková L, Konečná P, Venháčová P, Škvor J, Pomahačová R, Neumann D, Vosáhlo J, Strnadel J, Kocourková K, Obermannová B, Šantová A, Plachý L, Průhová S, Cinek O. Glycemic Control by Treatment Modalities: National Registry-Based Population Data in Children and Adolescents with Type 1 Diabetes. Horm Res Paediatr 2023; 97:70-79. [PMID: 37100041 DOI: 10.1159/000530833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 04/17/2023] [Indexed: 04/28/2023] Open
Abstract
INTRODUCTION The aim of the study was to assess the differences in key parameters of type 1 diabetes (T1D) control associated with treatment and monitoring modalities including newly introduced hybrid closed-loop (HCL) algorithm in children and adolescents with T1D (CwD) using the data from the population-wide pediatric diabetes registry ČENDA. METHODS CwD younger than 19 years with T1D duration >1 year were included and divided according to the treatment modality and type of CGM used: multiple daily injection (MDI), insulin pump without (CSII) and with HCL function, intermittently scanned continuous glucose monitoring (isCGM), real-time CGM (rtCGM), and intermittent or no CGM (noCGM). HbA1c, times in glycemic ranges, and glucose risk index (GRI) were compared between the groups. RESULTS Data of a total of 3,251 children (mean age 13.4 ± 3.8 years) were analyzed. 2,187 (67.3%) were treated with MDI, 1,064 (32.7%) with insulin pump, 585/1,064 (55%) with HCL. The HCL users achieved the highest median TIR 75.4% (IQR 6.3) and lowest GRI 29.1 (7.8), both p < 0.001 compared to other groups, followed by MDI rtCGM and CSII groups with TIR 68.8% (IQR 9.0) and 69.0% (7.5), GRI 38.8 (12.5) and 40.1 (8.5), respectively (nonsignificant to each other). These three groups did not significantly differ in their HbA1c medians (51.8 [IQR 4.5], 50.7 [4.5], and 52.7 [5.7] mmol/mol, respectively). NoCGM groups had the highest HbA1c and GRI and lowest TIR regardless of the treatment modality. CONCLUSION This population-based study shows that the HCL technology is superior to other treatment modalities in CGM-derived parameters and should be considered as a treatment of choice in all CwD fulfilling the indication criteria.
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Affiliation(s)
- Zdenek Šumnik
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Marketa Pavlíková
- Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University, Prague, Czechia
| | - Vit Neuman
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Lenka Petruželková
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Petra Konečná
- Department of Pediatrics, University Hospital Brno, Brno, Czechia
| | - Petra Venháčová
- Department of Pediatrics, University Hospital Olomouc, Olomouc, Czechia
| | - Jaroslav Škvor
- Department of Pediatrics, Masaryk Hospital, Ústí nad Labem, Czechia
| | - Renata Pomahačová
- Department of Pediatrics, University Hospital Pilsen, Pilsen, Czechia
| | - David Neumann
- Department of Pediatrics, University Hospital Hradec Králové, Hradec Králové, Czechia
| | - Jan Vosáhlo
- Department of Pediatrics, 3rd Faculty of Medicine, Prague, Czechia
| | - Jiri Strnadel
- Department of Pediatrics, University Hospital Ostrava, Ostrava, Czechia
| | - Kamila Kocourková
- Department of Pediatrics, Hospital České Budějovice, České Budějovice, Czechia
| | - Barbora Obermannová
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Alzbeta Šantová
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
- 1st Faculty of Medicine, Prague, Czechia
| | - Lukas Plachý
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Stepanka Průhová
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Ondrej Cinek
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
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16
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Rodríguez-Rodríguez I, Campo-Valera M, Rodríguez JV, Frisa-Rubio A. Constrained IoT-Based Machine Learning for Accurate Glycemia Forecasting in Type 1 Diabetes Patients. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23073665. [PMID: 37050725 PMCID: PMC10099355 DOI: 10.3390/s23073665] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/21/2023] [Accepted: 03/28/2023] [Indexed: 06/12/2023]
Abstract
Individuals with diabetes mellitus type 1 (DM1) tend to check their blood sugar levels multiple times daily and utilize this information to predict their future glycemic levels. Based on these predictions, patients decide on the best approach to regulate their glucose levels with considerations such as insulin dosage and other related factors. Nevertheless, modern developments in Internet of Things (IoT) technology and innovative biomedical sensors have enabled the constant gathering of glucose level data using continuous glucose monitoring (CGM) in addition to other biomedical signals. With the use of machine learning (ML) algorithms, glycemic level patterns can be modeled, enabling accurate forecasting of this variable. Constrained devices have limited computational power, making it challenging to run complex machine learning algorithms directly on these devices. However, by leveraging edge computing, using lightweight machine learning algorithms, and performing preprocessing and feature extraction, it is possible to run machine learning algorithms on constrained devices despite these limitations. In this paper we test the burdens of some constrained IoT devices, probing that it is feasible to locally predict glycemia using a smartphone, up to 45 min in advance and with acceptable accuracy using random forest.
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Affiliation(s)
| | - María Campo-Valera
- Departamento de Tecnologías de la Información y las Comunicaciones, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
| | - José-Víctor Rodríguez
- Departamento de Tecnologías de la Información y las Comunicaciones, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
| | - Alberto Frisa-Rubio
- CIRCE—Centro Tecnológico (Research Centre for Energy Resources and Consumption), Av. Ranillas, Edf. Dinamiza 3D, 50018 Zaragoza, Spain
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17
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Renard E. Automated insulin delivery systems: from early research to routine care of type 1 diabetes. Acta Diabetol 2023; 60:151-161. [PMID: 35994106 DOI: 10.1007/s00592-022-01929-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 06/22/2022] [Indexed: 01/24/2023]
Abstract
Automated insulin delivery (AID) systems, so-called closed-loop systems or artificial pancreas, are based upon the concept of insulin supply driven by blood glucose levels and their variations according to body glucose needs, glucose intakes and insulin action. They include a continuous glucose monitoring device which provides a signal to a control algorithm tuning insulin delivery from an infusion pump. The control algorithm is the key of the system since it commands insulin administration in order to maintain blood glucose in a predefined target range and close to a near-normal glucose level. The last two decades have shown dramatic advances toward the use in free life of AID systems for routine care of type 1 diabetes through step-by-step demonstrations of feasibility, safety and efficacy in successive hospital, transitional and outpatient trials. Because of the constraints of pharmacokinetics and dynamics of subcutaneous insulin delivery, the currently available AID systems are all 'hybrid' or 'semi-automated' insulin delivery systems with a need of meal and exercise announcements in order to anticipate rapid glucose variations through pre-meal bolus or pre-exercise reduction of infusion rate. Nevertheless, these AID systems significantly improve time spent in a near-normal range with a reduction of the risk of hypoglycemia and the mental load of managing diabetes in everyday life, representing a milestone in insulin therapy. Expected progression toward fully automated, further miniaturized and integrated, possibly implantable on long-term and more physiological closed-loop systems paves the way for a functional cure of type 1 diabetes.
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Affiliation(s)
- Eric Renard
- Department of Endocrinology, Diabetes, Nutrition, Montpellier University Hospital, Montpellier, France.
- INSERM Clinical Investigation Centre CIC 1411, Montpellier, France.
- Department of Physiology, Institute of Functional Genomics, CNRS, INSERM, University of Montpellier, Montpellier, France.
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18
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Liu Y, Yu Q, Ye L, Yang L, Cui Y. A wearable, minimally-invasive, fully electrochemically-controlled feedback minisystem for diabetes management. LAB ON A CHIP 2023; 23:421-436. [PMID: 36597970 DOI: 10.1039/d2lc00797e] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Diabetes is a chronic disease affecting 10% of the population globally, and can lead to serious damage in the heart, kidneys, eyes, blood vessels or nerves. Commercial artificial closed-loop feedback systems can significantly improve diabetes management and save lives. However, they are large and expensive for users. Here, we demonstrate for the first time a wearable, minimally-invasive, fully electrochemically-controlled feedback minisystem for diabetes management. Both the working principles of the sensor and pump in the feedback system are based on electrochemical reactions. The smart minisystem was constructed based on integrating the thermoplastic polyurethane hollow microneedles with an electrochemical biosensing device on its outer layer and an electrochemical micropump facing the inner layer of the microneedles. The sensing device was constructed based on sputtering thin metal films through a shadow mask and electroplating Prussian blue on the surface of the microneedles, followed by the immobilization of glucose oxidase on the working electrode. The electrochemical micropump was constructed by sputtering the interdigital electrodes, followed by sealing with a thin elastic film, which was further integrated with the inner channels of the microneedles. Both the sensor and the pump were electrically powered. Via being controlled by a printed circuit board, the biosensing device monitored the levels of interstitial glucose continuously to drive the electrochemical pump to deliver insulin intelligently, in order to control blood glucose within the normal range. The closed-loop feedback system was studied for its capability in maintaining the blood glucose levels of diabetic rats under various physiological conditions. The utility of the intelligent feedback system was successfully demonstrated on diabetic rats for controlling the blood glucose levels within the normal range. The minisystem is wearable, small, cost-effective, precise, stable and painless. It is anticipated that this approach opens a new paradigm for the development of closed-loop diabetes minisystems and may lead to a compelling future for diabetes management.
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Affiliation(s)
- Yiqun Liu
- School of Materials Science and Engineering, Peking University, First Hospital Interdisciplinary Research Center, Peking University, Beijing 100871, P.R. China.
| | - Qi Yu
- Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, P.R. China.
| | - Le Ye
- Institute of Microelectronics, Peking University, Beijing 100871, P.R. China
| | - Li Yang
- Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, P.R. China.
| | - Yue Cui
- School of Materials Science and Engineering, Peking University, First Hospital Interdisciplinary Research Center, Peking University, Beijing 100871, P.R. China.
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19
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Limbert C, Tinti D, Malik F, Kosteria I, Messer L, Jalaludin MY, Benitez-Aguirre P, Biester S, Corathers S, von Sengbusch S, Marcovecchio ML. ISPAD Clinical Practice Consensus Guidelines 2022: The delivery of ambulatory diabetes care to children and adolescents with diabetes. Pediatr Diabetes 2022; 23:1243-1269. [PMID: 36537530 DOI: 10.1111/pedi.13417] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Catarina Limbert
- Unit of Paediatric Endocrinology and Diabetes, Hospital Dona Estefânia, Lisbon, Portugal.,Nova Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Davide Tinti
- Department of Pediatrics, University of Turin, Turin, Italy
| | - Faisal Malik
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Ioanna Kosteria
- Department of Endocrinology, Growth & Development, "P&A Kyriakou" Children's Hospital, Athens, Greece
| | - Laurel Messer
- Barbara Davis Center, University of Colorado School of Medicine, Aurora, Colorado, USA
| | | | - Paul Benitez-Aguirre
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.,Discipline of Paediatrics and Child Health, University of Sydney, Sydney, New South Wales, Australia
| | - Sarah Biester
- Diabetes-Center for Children and Adolescents, Children's Hospital "Auf der Bult", Hannover, Germany
| | - Sarah Corathers
- Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Simone von Sengbusch
- Division of Pediatric Endocrinology and Diabetology, Campus Lübeck, University Medical Centre Schleswig-Holstein, Lübeck, Germany
| | - M Loredana Marcovecchio
- Department of Paediatrics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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20
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Sanchez-Rangel E, Deajon-Jackson J, Hwang JJ. Pathophysiology and management of hypoglycemia in diabetes. Ann N Y Acad Sci 2022; 1518:25-46. [PMID: 36202764 DOI: 10.1111/nyas.14904] [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: 02/05/2023]
Abstract
In the century since the discovery of insulin, diabetes has changed from an early death sentence to a manageable chronic disease. This change in longevity and duration of diabetes coupled with significant advances in therapeutic options for patients has fundamentally changed the landscape of diabetes management, particularly in patients with type 1 diabetes mellitus. However, hypoglycemia remains a major barrier to achieving optimal glycemic control. Current understanding of the mechanisms of hypoglycemia has expanded to include not only counter-regulatory hormonal responses but also direct changes in brain glucose, fuel sensing, and utilization, as well as changes in neural networks that modulate behavior, mood, and cognition. Different strategies to prevent and treat hypoglycemia have been developed, including educational strategies, new insulin formulations, delivery devices, novel technologies, and pharmacologic targets. This review article will discuss current literature contributing to our understanding of the myriad of factors that lead to the development of clinically meaningful hypoglycemia and review established and novel therapies for the prevention and treatment of hypoglycemia.
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Affiliation(s)
- Elizabeth Sanchez-Rangel
- Department of Internal Medicine, Section of Endocrinology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jelani Deajon-Jackson
- Department of Internal Medicine, Section of Endocrinology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Janice Jin Hwang
- Department of Internal Medicine, Section of Endocrinology, Yale University School of Medicine, New Haven, Connecticut, USA.,Division of Endocrinology, Department of Internal Medicine, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina, USA
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21
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Rodríguez-Sarmiento DL, León-Vargas F, García-Jaramillo M. Artificial pancreas systems: experiences from concept to commercialisation. Expert Rev Med Devices 2022; 19:877-894. [DOI: 10.1080/17434440.2022.2150546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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22
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Ware J, Hovorka R. Closed-loop insulin delivery: update on the state of the field and emerging technologies. Expert Rev Med Devices 2022; 19:859-875. [PMID: 36331211 PMCID: PMC9780196 DOI: 10.1080/17434440.2022.2142556] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Over the last five years, closed-loop insulin delivery systems have transitioned from research-only to real-life use. A number of systems have been commercialized and are increasingly used in clinical practice. Given the rapidity of new developments in the field, understanding the capabilities and key similarities and differences of current systems can be challenging. This review aims to provide an update on the state of the field of closed-loop insulin delivery systems, including emerging technologies. AREAS COVERED We summarize key clinical safety and efficacy evidence of commercial and emerging insulin-only hybrid closed-loop systems for type 1 diabetes. A literature search was conducted and clinical trials using closed-loop systems during free-living conditions were identified to report on safety and efficacy data. We comment on emerging technologies and adjuncts for closed-loop systems, as well as non-technological priorities in closed-loop insulin delivery. EXPERT OPINION Commercial hybrid closed-loop insulin delivery systems are efficacious, consistently improving glycemic control when compared to standard therapy. Challenges remain in widespread adoption due to clinical inertia and the lack of resources to embrace technological developments by health care professionals.
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Affiliation(s)
- Julia Ware
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
- Department of Pediatrics, University of Cambridge, Cambridge, United Kingdom
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
- Department of Pediatrics, University of Cambridge, Cambridge, United Kingdom
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23
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Weinzimer SA, Bailey RJ, Bergenstal RM, Nimri R, Beck RW, Schatz D, Ambler-Osborn L, Schweiger DS, von dem Berge T, Sibayan J, Johnson ML, Calhoun P, Phillip M. A Comparison of Postprandial Glucose Control in the Medtronic Advanced Hybrid Closed-Loop System Versus 670G. Diabetes Technol Ther 2022; 24:573-582. [PMID: 35363054 PMCID: PMC9353997 DOI: 10.1089/dia.2021.0568] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background: We recently reported that use of an "advanced" hybrid closed-loop system reduced hyperglycemia without increasing hypoglycemia compared to a first-generation system. The aim of this analysis was to evaluate whether this improved performance was specifically related to better mealtime glycemic control. Methods: We conducted a secondary analysis of postprandial glycemic control in an open-label, multinational, randomized crossover trial of 112 participants with type 1 diabetes, aged 14-29, of the Medtronic MiniMed™ 670G hybrid closed-loop system (670G) versus the Medtronic advanced hybrid closed-loop (AHCL) system, for 12 weeks each. We compared glycemic and insulin delivery metrics over a 3 h horizon across all meals to assess system performance and outcomes. Results: Overall meal size and premeal insulin on board were similar during run-in and between 670G and AHCL arms. Compared with 670G arm, premeal, peak, and mean glucose levels were numerically lower in the AHCL arm (167 ± 23, 231 ± 23, and 177 ± 20 mg/dL vs. 175 ± 23, 235 ± 23, and 180 ± 19 mg/dL, respectively), with a trend to lower hyperglycemia level 2 in AHCL arm. Adjusting for premeal glucose level, all postmeal outcomes between 670G and AHCL were statistically similar. Prandial insulin delivery also was similar in both treatment arms (21 ± 9 vs. 23 ± 10 U), with a shift in basal/bolus ratio from 28%/71% in 670G arm to 20%/80% in AHCL arm. Conclusions: Reduced hyperglycemia with AHCL compared to 670G was not related to early postprandial glycemic excursions after adjusting for premeal glucose level (<3 h after meal), but likely to later (>3 h) postprandial or overnight improvements. Further refinements to mealtime bolus algorithms and strategies may more optimally control prandial glycemic excursions.
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Affiliation(s)
- Stuart A. Weinzimer
- Department of Pediatrics, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Ryan J. Bailey
- Jaeb Center for Health Research Foundation, Inc., Tampa, Florida, USA
| | - Richard M. Bergenstal
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Revital Nimri
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL
- Sacker Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Roy W. Beck
- Jaeb Center for Health Research Foundation, Inc., Tampa, Florida, USA
| | - Desmond Schatz
- University of Florida College of Medicine, Gainesville, Florida, USA
| | | | - Darja Smigoc Schweiger
- University Medical Center Ljubljana, University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Judy Sibayan
- Jaeb Center for Health Research Foundation, Inc., Tampa, Florida, USA
| | - Mary L. Johnson
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Peter Calhoun
- Jaeb Center for Health Research Foundation, Inc., Tampa, Florida, USA
| | - Moshe Phillip
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL
- Sacker Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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24
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Holder M, Kapellen T, Ziegler R, Bürger-Büsing J, Danne T, Dost A, Holl RW, Holterhus PM, Karges B, Kordonouri O, Lange K, Müller S, Raile K, Schweizer R, von Sengbusch S, Stachow R, Wagner V, Wiegand S, Neu A. Diagnosis, Therapy and Follow-Up of Diabetes Mellitus in Children and Adolescents. Exp Clin Endocrinol Diabetes 2022; 130:S49-S79. [PMID: 35913059 DOI: 10.1055/a-1624-3388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Martin Holder
- Klinikum Stuttgart, Olgahospital, Department of Pediatric Endocrinology and Diabetology, Germany
| | - Thomas Kapellen
- Department of Paediatrics and Adolescent Medicine, University Hospital, Leipzig, Germany
| | - Ralph Ziegler
- Practice for Paediatrics and Adolescent Medicine, Focus on Diabetology, Münster, Germany
| | - Jutta Bürger-Büsing
- Association of Diabetic Children and Adolescents, Diabetes Center, Kaiserslautern, Germany
| | - Thomas Danne
- Children's and Youth Hospital Auf der Bult, Hannover, Germany
| | - Axel Dost
- Department of Paediatrics and Adolescent Medicine, University Hospital Jena, Germany
| | - Reinhard W Holl
- Institute for Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Germany
| | - Paul-Martin Holterhus
- Department of General Paediatrics, University Hospital Schleswig-Holstein, Kiel Campus, Germany
| | - Beate Karges
- Endocrinology and Diabetology Section, University Hospital, RWTH Aachen University, Germany
| | - Olga Kordonouri
- Children's and Youth Hospital Auf der Bult, Hannover, Germany
| | - Karin Lange
- Department of Medical Psychology, Hannover Medical School, Hannover, Germany
| | | | - Klemens Raile
- Virchow Hospital, University Medicine, Berlin, Germany
| | - Roland Schweizer
- Department of Pediatrics and Adolescent Medicine, University Hospital Tübingen, Germany
| | - Simone von Sengbusch
- Department of Paediatrics and Adolescent Medicine, University Hospital Schleswig-Holstein, Campus Lübeck, Germany
| | - Rainer Stachow
- Sylt Specialist Hospital for Children and Adolescents, Westerland, Germany
| | - Verena Wagner
- Joint Practice for Paediatrics and Adolescent Medicine, Rostock, Germany
| | | | - Andreas Neu
- Department of Pediatrics and Adolescent Medicine, University Hospital Tübingen, Germany
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25
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Abstract
Hypoglycemia is a common condition in the newborn period. Several intrinsic and extrinsic factors play a role in the degree/duration of hypoglycemia. Multiple thresholds have been proposed as a potential point whereby hypoglycemia may have short and long-term adverse effects. Rather than a "numerical" threshold, treatment approaches should be individualized and tailored to the etiology, symptoms, and neonatal underlying conditions. Hyperglycemia in the newborn period is commonly seen in preterm infants and can exert gluco-toxic effects in organs at critical periods of development. Considering the peripheral insulin resistance (IR) of prematurity and contributing factors is key to achieving euglycemia.
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Affiliation(s)
- Cynthia L Blanco
- Division of Neonatology, Department of Pediatrics, UT Health San Antonio, 7703 Floyd Curl, San Antonio, TX 78229, USA; Neonatology Services, University Health System, 4502 Medical Dr, San Antonio, TX, 78229, USA.
| | - Jennifer Kim
- Division of Neonatology, Department of Pediatrics, UT Health San Antonio, 7703 Floyd Curl, San Antonio, TX 78229, USA
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26
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Letting the World See through Your Eyes: Using Photovoice to Explore the Role of Technology in Physical Activity for Adolescents Living with Type 1 Diabetes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19106315. [PMID: 35627851 PMCID: PMC9140903 DOI: 10.3390/ijerph19106315] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 11/17/2022]
Abstract
This paper qualitatively explores how technologies and physical activity are experienced by adolescents with type 1 diabetes. Type 1 diabetes is a life-threatening autoimmune condition, which is highly prevalent in young children. Physical activity is underutilised as part of treatment goals due to multifactorial challenges and lack of education in both the family setting and across society as a whole. Using photovoice methodology, 29 participants (parents and adolescents), individually or as dyads, shared and described in reflective journal format examples of technology and physical activity in their lives. In total, 120 personal photographs with accompanying narratives were provided. The data were thematically coded by the researcher and then collaboratively with participants. Four key themes (and 12 subthemes) were generated including: (i) benefits of technology; (ii) complexity and difficulty; (iii) emotional impact; (iv) reliance and risk. Findings demonstrate that current technology does not address the complex needs of adolescents with type 1 diabetes to enable participation in physical activity without life risk. We conclude from our findings that future technologies for supporting engagement in physical activity as part of diabetes management need to be: more interoperable, personalised and integrated better with ongoing education and support.
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27
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Juneja D, Gupta A, Singh O. Artificial intelligence in critically ill diabetic patients: current status and future prospects. Artif Intell Gastroenterol 2022; 3:66-79. [DOI: 10.35712/aig.v3.i2.66] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 04/21/2022] [Accepted: 04/28/2022] [Indexed: 02/06/2023] Open
Abstract
Recent years have witnessed increasing numbers of artificial intelligence (AI) based applications and devices being tested and approved for medical care. Diabetes is arguably the most common chronic disorder worldwide and AI is now being used for making an early diagnosis, to predict and diagnose early complications, increase adherence to therapy, and even motivate patients to manage diabetes and maintain glycemic control. However, these AI applications have largely been tested in non-critically ill patients and aid in managing chronic problems. Intensive care units (ICUs) have a dynamic environment generating huge data, which AI can extract and organize simultaneously, thus analysing many variables for diagnostic and/or therapeutic purposes in order to predict outcomes of interest. Even non-diabetic ICU patients are at risk of developing hypo or hyperglycemia, complicating their ICU course and affecting outcomes. In addition, to maintain glycemic control frequent blood sampling and insulin dose adjustments are required, increasing nursing workload and chances of error. AI has the potential to improve glycemic control while reducing the nursing workload and errors. Continuous glucose monitoring (CGM) devices, which are Food and Drug Administration (FDA) approved for use in non-critically ill patients, are now being recommended for use in specific ICU populations with increased accuracy. AI based devices including artificial pancreas and CGM regulated insulin infusion system have shown promise as comprehensive glycemic control solutions in critically ill patients. Even though many of these AI applications have shown potential, these devices need to be tested in larger number of ICU patients, have wider availability, show favorable cost-benefit ratio and be amenable for easy integration into the existing healthcare systems, before they become acceptable to ICU physicians for routine use.
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Affiliation(s)
- Deven Juneja
- Institute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110092, India
| | - Anish Gupta
- Institute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110092, India
| | - Omender Singh
- Institute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110092, India
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28
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León-Vargas F, Arango Oviedo JA, Luna Wandurraga HJ. Two Decades of Research in Artificial Pancreas: Insights from a Bibliometric Analysis. J Diabetes Sci Technol 2022; 16:434-445. [PMID: 33853377 PMCID: PMC8861788 DOI: 10.1177/19322968211005500] [Citation(s) in RCA: 7] [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: 11/15/2022]
Abstract
BACKGROUND Artificial pancreas is a well-known research topic devoted to achieving better glycemic outcomes that has been attracting increasing attention over the years. However, there is a lack of systematic, chronological, and synthesizing studies that show the background of the knowledge generation in this field. This study implements a bibliometric analysis to recognize the main documents, type of publications, research categories, countries, keywords, organizations, and authors related to this topic. METHODS Web of Science core collection database was accessed from 2000 to 2020 in order to select high-quality scientific documents based on a specific search query. Bibexcel, MS Excel, Power BI, R-Studio, VOSviewer, and CorText software were used for a descriptive and network analysis based on the local database obtained. Bibliometric parameters as the h-index, frequencies, co-authorship and co-ocurrences were computed. RESULTS A total of 756 documents were included that show a growing scientific production on this topic with an increasing contribution from engineering. Outstanding authors, organizations, and countries were identified. An analysis of trends in research was conducted according to the scientific categories of the Web of Science database to identify the main research interests of the last 2 decades and the emerging areas with greater prominence in the coming years. A keyword network analysis allowed to identify the main stages in the development of the AP research over time. CONCLUSIONS Results reveal a comprehensive background of the knowledge generation for the AP topic during the last 2 decades, which has been strengthened with international collaborations and a remarkable interdisciplinarity between endocrinology and engineering, giving rise to a growing number of research areas over time, where computer science and medical informatics stand out as the main emerging research areas.
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Affiliation(s)
- Fabian León-Vargas
- Universidad Antonio Nariño, Bogotá,
Colombia
- Fabian León-Vargas, PhD, Universidad
Antonio Nariño, Cll 22 Sur # 12D – 81, Bogotá, 111511, Colombia.
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29
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Templer S. Closed-Loop Insulin Delivery Systems: Past, Present, and Future Directions. Front Endocrinol (Lausanne) 2022; 13:919942. [PMID: 35733769 PMCID: PMC9207329 DOI: 10.3389/fendo.2022.919942] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/06/2022] [Indexed: 12/16/2022] Open
Abstract
Closed-loop (artificial pancreas) systems for automated insulin delivery have been likened to the holy grail of diabetes management. The first iterations of glucose-responsive insulin delivery were pioneered in the 1960s and 1970s, with the development of systems that used venous glucose measurements to dictate intravenous infusions of insulin and dextrose in order to maintain normoglycemia. Only recently have these bulky, bedside technologies progressed to miniaturized, wearable devices. These modern closed-loop systems use interstitial glucose sensing, subcutaneous insulin pumps, and increasingly sophisticated algorithms. As the number of commercially available hybrid closed-loop systems has grown, so too has the evidence supporting their efficacy. Future challenges in closed-loop technology include the development of fully closed-loop systems that do not require user input for meal announcements or carbohydrate counting. Another evolving avenue in research is the addition of glucagon to mitigate the risk of hypoglycemia and allow more aggressive insulin dosing.
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30
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Kelly CJ, Brown APY, Taylor JA. Artificial Intelligence in Pediatrics. Artif Intell Med 2022. [DOI: 10.1007/978-3-030-64573-1_316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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31
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Thabit H, Lal R, Leelarathna L. Automated insulin dosing systems: Advances after a century of insulin. Diabet Med 2021; 38:e14695. [PMID: 34547133 PMCID: PMC8763058 DOI: 10.1111/dme.14695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 09/05/2021] [Accepted: 09/16/2021] [Indexed: 11/29/2022]
Abstract
The daily complexities of insulin therapy and glucose variability in type 1 diabetes still pose significant challenges, despite advancements in modern insulin analogues. Minimising hypoglycaemia and optimising time spent within target glucose range are recommended to reduce the risk of diabetes-related complications and distress. Access to structured education and adjuvant diabetes technologies, such as insulin pumps and glucose sensors, are recommended by National Institute for Health and Care Excellence (NICE) to enable people with type 1 diabetes achieve their glycaemic goals. One hundred years after the discovery of insulin, automated insulin dosing (AID, a.k.a. closed loop or artificial pancreas) systems are a reality with a number of systems available and being used in usual clinical practice. Evidence from randomised clinical trials and real-world prospective studies support efficacy, effectiveness and safety of AID systems. Qualitative evaluations reveal treatment satisfaction and positive effects on quality of life. Current insulin-only AID systems still require carbohydrate and activity announcement (hybrid closed loop) due to the inherent pharmacokinetic limitations of rapid-acting insulin analogies. Ultra-rapid acting insulin and adjunctive use of other therapies (e.g. glucagon, pramlitide) are being evaluated to achieve full closed loop. Open-source AID (OS-AID) systems have been developed by the diabetes community, driven by a desire for safety and to accelerate technological advancement. In addition to effectiveness and safety, real-world prospective studies suggest that OS-AID systems fulfil unmet needs of commercially approved systems. The development, ongoing challenges and expectations of AID are outlined in this review.
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Affiliation(s)
- Hood Thabit
- Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rayhan Lal
- Division of Endocrinology, Department of Medicine & Paediatrics, Stanford University, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
| | - Lalantha Leelarathna
- Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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32
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Moon SJ, Jung I, Park CY. Current Advances of Artificial Pancreas Systems: A Comprehensive Review of the Clinical Evidence. Diabetes Metab J 2021; 45:813-839. [PMID: 34847641 PMCID: PMC8640161 DOI: 10.4093/dmj.2021.0177] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/24/2021] [Indexed: 12/19/2022] Open
Abstract
Since Banting and Best isolated insulin in the 1920s, dramatic progress has been made in the treatment of type 1 diabetes mellitus (T1DM). However, dose titration and timely injection to maintain optimal glycemic control are often challenging for T1DM patients and their families because they require frequent blood glucose checks. In recent years, technological advances in insulin pumps and continuous glucose monitoring systems have created paradigm shifts in T1DM care that are being extended to develop artificial pancreas systems (APSs). Numerous studies that demonstrate the superiority of glycemic control offered by APSs over those offered by conventional treatment are still being published, and rapid commercialization and use in actual practice have already begun. Given this rapid development, keeping up with the latest knowledge in an organized way is confusing for both patients and medical staff. Herein, we explore the history, clinical evidence, and current state of APSs, focusing on various development groups and the commercialization status. We also discuss APS development in groups outside the usual T1DM patients and the administration of adjunct agents, such as amylin analogues, in APSs.
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Affiliation(s)
- Sun Joon Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Inha Jung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Cheol-Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
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33
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Ziegler AG, Danne T, Daniel C, Bonifacio E. 100 Years of Insulin: Lifesaver, immune target, and potential remedy for prevention. MED 2021; 2:1120-1137. [PMID: 34993499 PMCID: PMC8730368 DOI: 10.1016/j.medj.2021.08.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
In this review, we bring our personal experiences to showcase insulin from its breakthrough discovery as a life-saving drug 100 years ago to its uncovering as the autoantigen and potential cause of type 1 diabetes and eventually as an opportunity to prevent autoimmune diabetes. The work covers the birth of insulin to treat patients, which is now 100 years ago, the development of human insulin, insulin analogues, devices, and the way into automated insulin delivery, the realization that insulin is the primary autoimmune target of type 1 diabetes in children, novel approaches of immunotherapy using insulin for immune tolerance induction, the possible limitations of insulin immunotherapy, and an outlook how modern vaccines could remove the need for another 100 years of insulin therapy.
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Affiliation(s)
- Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
- Lead Contact
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus AUF DER BULT, 30173 Hannover, Germany
| | - Carolin Daniel
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Division of Clinical Pharmacology, Department of Medicine IV, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Ezio Bonifacio
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Germany
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34
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Diagnostik, Therapie und Verlaufskontrolle des Diabetes mellitus im Kindes- und Jugendalter. DIABETOLOGE 2021. [DOI: 10.1007/s11428-021-00769-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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35
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Shang T, Zhang JY, Bequette BW, Raymond JK, Coté G, Sherr JL, Castle J, Pickup J, Pavlovic Y, Espinoza J, Messer LH, Heise T, Mendez CE, Kim S, Ginsberg BH, Masharani U, Galindo RJ, Klonoff DC. Diabetes Technology Meeting 2020. J Diabetes Sci Technol 2021; 15:916-960. [PMID: 34196228 PMCID: PMC8258529 DOI: 10.1177/19322968211016480] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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
Diabetes Technology Society hosted its annual Diabetes Technology Meeting on November 12 to November 14, 2020. This meeting brought together speakers to cover various perspectives about the field of diabetes technology. The meeting topics included artificial intelligence, digital health, telemedicine, glucose monitoring, regulatory trends, metrics for expressing glycemia, pharmaceuticals, automated insulin delivery systems, novel insulins, metrics for diabetes monitoring, and discriminatory aspects of diabetes technology. A live demonstration was presented.
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Affiliation(s)
- Trisha Shang
- Diabetes Technology Society, Burlingame, CA, USA
| | | | | | - Jennifer K. Raymond
- Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | - Gerard Coté
- Texas A & M University, College Station, Texas, USA
| | | | | | | | | | - Juan Espinoza
- Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Sarah Kim
- University of California San Francisco, San Francisco, CA, USA
| | | | - Umesh Masharani
- University of California San Francisco, San Francisco, CA, USA
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Cigrovski Berkovic M, Bilic-Curcic I, La Grasta Sabolic L, Mrzljak A, Cigrovski V. Fear of hypoglycemia, a game changer during physical activity in type 1 diabetes mellitus patients. World J Diabetes 2021; 12:569-577. [PMID: 33995845 PMCID: PMC8107983 DOI: 10.4239/wjd.v12.i5.569] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/16/2021] [Accepted: 03/29/2021] [Indexed: 02/06/2023] Open
Abstract
Hypoglycemia limits optimal glycemic management of patients with type 1 diabetes mellitus (T1DM). Fear of hypoglycemia (FoH) is a significant psychosocial consequence that negatively impacts the willingness of T1DM patients to engage in and profit from the health benefits of regular physical activity (e.g., cardiometabolic health, improved body composition, cardiovascular fitness, quality of life). Technological advances, improved insulin regimens, and a better understanding of the physiology of various types of exercise could help ameliorate FoH. This narrative review summarizes the available literature on FoH in children and adults and tools to avoid it.
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Affiliation(s)
- Maja Cigrovski Berkovic
- Department of Endocrinology, Diabetes, Metabolism and Clinical Pharmacology, University Hospital Dubrava, Zagreb 10000, Croatia
| | - Ines Bilic-Curcic
- Department of Pharmacology, Faculty of Medicine, University of J. J. Strossmayer Osijek, Osijek 31000, Croatia
| | - Lavinia La Grasta Sabolic
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Hospital Centre Sestre Milosrdnice, Zagreb 10000, Croatia
| | - Anna Mrzljak
- Department of Medicine, Merkur University Hospital, Zagreb 10000, Croatia
- School of Medicine, University of Zagreb, Zagreb 10000, Croatia
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Isganaitis E, Raghinaru D, Ambler-Osborn L, Pinsker JE, Buckingham BA, Wadwa RP, Ekhlaspour L, Kudva YC, Levy CJ, Forlenza GP, Beck RW, Kollman C, Lum JW, Brown SA, Laffel LM. Closed-Loop Insulin Therapy Improves Glycemic Control in Adolescents and Young Adults: Outcomes from the International Diabetes Closed-Loop Trial. Diabetes Technol Ther 2021; 23:342-349. [PMID: 33216667 PMCID: PMC8080922 DOI: 10.1089/dia.2020.0572] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Objective: To assess the efficacy and safety of closed-loop control (CLC) insulin delivery system in adolescents and young adults with type 1 diabetes. Research Design and Methods: Prespecified subanalysis of outcomes in adolescents and young adults aged 14-24 years old with type 1 diabetes in a previously published 6-month multicenter randomized trial. Participants were randomly assigned 2:1 to CLC (Tandem Control-IQ) or sensor augmented pump (SAP, various pumps+Dexcom G6 CGM) and followed for 6 months. Results: Mean age of the 63 participants was 17 years, median type 1 diabetes duration was 7 years, and mean baseline HbA1c was 8.1%. All 63 completed the trial. Time in range (TIR) increased by 13% with CLC versus decreasing by 1% with SAP (adjusted treatment group difference = +13% [+3.1 h/day]; 95% confidence interval [CI] 9-16, P < 0.001), which largely reflected a reduction in time >180 mg/dL (adjusted difference -12% [-2.9 h/day], P < 0.001). Time <70 mg/dL decreased by 1.6% with CLC versus 0.3% with SAP (adjusted difference -0.7% [-10 min/day], 95% CI -1.0% to -0.2%, P = 0.002). CLC use averaged 89% of the time for 6 months. The mean adjusted difference in HbA1c after 6 months was 0.30% in CLC versus SAP (95% CI -0.67 to +0.08, P = 0.13). There was one diabetic ketoacidosis episode in the CLC group. Conclusions: CLC use for 6 months was substantial and associated with improved TIR and reduced hypoglycemia in adolescents and young adults with type 1 diabetes. Thus, CLC has the potential to improve glycemic outcomes in this challenging age group. The clinical trial was registered with ClinicalTrials.gov (NCT03563313).
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Affiliation(s)
- Elvira Isganaitis
- Research Division, Department of Pediatrics, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Dan Raghinaru
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Louise Ambler-Osborn
- Research Division, Department of Pediatrics, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Bruce A. Buckingham
- Pediatric Endocrinology and Diabetes, Stanford Children's Health, Stanford, California, USA
| | - R. Paul Wadwa
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Laya Ekhlaspour
- Pediatric Endocrinology and Diabetes, Stanford Children's Health, Stanford, California, USA
| | - Yogish C. Kudva
- Division of Endocrinology, Diabetes, Metabolism, Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Carol J. Levy
- Department of Medicine, Endocrinology, Diabetes and Bone Diseases, Mount Sinai Diabetes Center, New York, New York, USA
| | - Gregory P. Forlenza
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Roy W. Beck
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Craig Kollman
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - John W. Lum
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Sue A. Brown
- Endocrinology and Metabolism Division, Department of Medicine, Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Lori M. Laffel
- Research Division, Department of Pediatrics, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
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Nimri R, Grosman B, Roy A, Nir J, Fisch Shvalb N, Kurtz N, Loewenthal N, Gillon-Keren M, Muller I, Atlas E, Phillip M. Feasibility Study of a Hybrid Closed-Loop System with Automated Insulin Correction Boluses. Diabetes Technol Ther 2021; 23:268-276. [PMID: 33185480 DOI: 10.1089/dia.2020.0448] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background: The Medtronic MiniMed™ 670G system adjusts basal insulin delivery in response to continuous glucose monitoring levels and is already in use in clinical practice. We tested the home-based feasibility of the new MiniMed advanced hybrid closed-loop (AHCL) system, which includes several algorithm enhancements and an optional autocorrection bolus mode. Methods: Twelve adolescents and young adults (eight females) with type 1 diabetes [median (interquartile range)] aged 16.6 (15.9, 18.2) years and diabetes duration of 7.1 (4.7, 8.8) years] participated in this single-arm study. The first stage was a 6-day open-loop run-in period, with the predictive low-glucose suspend feature on. This was followed by 6 days/5 nights in a supervised hotel setting, using the AHCL system, including closed-loop challenges (missed meal bolus, late meal bolus, and physical activity); and finally, 3 weeks with unrestricted home use. Glycemic parameters were compared between the open-loop and closed-loop periods. Results: Participants spent 93.3% (4.7) of the time in SmartGuard™ Auto Mode. Hemoglobin A1C levels decreased from median (interquartile range) 7.1% (6.7, 7.9) at baseline to 6.8% (6.6, 7.4) at study end, after 4 weeks (P = 0.0027). Time in range (TIR) (70-180 mg/dL) was 68.4% (10.6) and time below 70 mg/dL was 4% (3.5) during open-loop; and 74% (6.1) and 2.6% (1.9), respectively, during the closed-loop at home phase (P = 0.06, P = 0.27). TIR increased during the nighttime, from 64.6% (17.4) to 80.7% (7.8), P = 0.007, without change in time below 70 mg/dL (P = 0.15). No serious adverse events occurred. Conclusions: The new AHCL system demonstrated safety and effectiveness in controlling day and night glucose levels.
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Affiliation(s)
- Revital Nimri
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | | | - Anirban Roy
- Medtronic Diabetes, Northridge, California, USA
| | - Judith Nir
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Naama Fisch Shvalb
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | | | - Neta Loewenthal
- Pediatric Endocrinology Unit, Soroka University Medical Center, Beer Sheva, Israel
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Michal Gillon-Keren
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Ido Muller
- DreaMed Diabetes Ltd., Petah Tikvah, Israel
| | - Eran Atlas
- DreaMed Diabetes Ltd., Petah Tikvah, Israel
| | - Moshe Phillip
- The Jesse Z and Sara Lea Shafer Institute for 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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Assaad Khalil S, Gaber Amin N, Mohamed Ibrahim A, Zakaria Zaky D, Mounir Bishay M. Glycemic indices of dates "Ramadan Symbolic Food" in patients with type 2 diabetes using continuous glucose monitoring system. Diabetes Res Clin Pract 2021; 172:108563. [PMID: 33271230 DOI: 10.1016/j.diabres.2020.108563] [Citation(s) in RCA: 2] [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] [Received: 04/11/2020] [Accepted: 11/16/2020] [Indexed: 10/22/2022]
Abstract
AIM The high consumption of dates during Ramadan raises the question about its glycemic index (GI) and its effect on the glycemic control in patients with type 2 diabetes (T2DM). We aimed to determine the GI of varieties of meals containing dates in healthy subjects compared to patients with T2DM and the effect of dates on the postprandial glucose excursions using continuous glucose monitoring system (CGMS). METHOD AND RESULTS Twenty patients with T2DM and twenty healthy subjects matched for age, sex and body weight participated. Testing was applied on separate days (on 3 occasions) with 50 g of glucose and 50 g equivalent of available carbohydrates from 9 date meals. The GI was calculated as ratios of the incremental areas under the response curves for dates in comparison to glucose. Minimed-530 g-diabetes-system-with-enlite was used for continuous glucose monitoring. There was no significant difference between the mean GI of dates between both study groups. However, there was a significant difference according to the time of peak blood glucose among varieties of meals containing dates in T2DM. CONCLUSION Studied varieties of dates have low GI. CGMS valued beyond GI calculation to study the postprandial glucose excursions among patients with T2DM.
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Affiliation(s)
- Samir Assaad Khalil
- Faculty of Medicine, Alexandria University, Department of Internal Medicine, Unit of Diabetes, Lipidology & Metabolism, Alexandria, Egypt.
| | - Noha Gaber Amin
- Faculty of Medicine, Alexandria University, Department of Internal Medicine, Unit of Diabetes, Lipidology & Metabolism, Alexandria, Egypt
| | - Atef Mohamed Ibrahim
- Faculty of Agriculture, Alexandria University, Department of Pomology, Alexandria, Egypt
| | - Doaa Zakaria Zaky
- Faculty of Medicine, Ain Shams University, Department of Tropical Medicine, Egypt
| | - Mariam Mounir Bishay
- Faculty of Medicine, Alexandria University, Department of Internal Medicine, Unit of Diabetes, Lipidology & Metabolism, Alexandria, Egypt
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Biester T, Muller I, von dem Berge T, Atlas E, Nimri R, Phillip M, Battelino T, Bratina N, Dovc K, Scheerer MF, Kordonouri O, Danne T. Add-on therapy with dapagliflozin under full closed loop control improves time in range in adolescents and young adults with type 1 diabetes: The DAPADream study. Diabetes Obes Metab 2021; 23:599-608. [PMID: 33217117 DOI: 10.1111/dom.14258] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/06/2020] [Accepted: 11/11/2020] [Indexed: 12/13/2022]
Abstract
AIM To investigate the effect of the sodium-glucose co-transporter-2 inhibitor dapagliflozin on glucose levels overnight and during the following day after two unannounced meals under full closed loop (FCL) conditions. MATERIALS AND METHODS For this single-centre, double-blind, randomized, placebo-controlled, cross-over trial, non-obese persons with type 1 diabetes (T1D) were studied twice (10 mg dapagliflozin bid vs. placebo) for 24 hours with two unannounced mixed meal tests 6 hours apart under FCL conditions. Primary outcome was sensor glucose time in range (TIR; 3.9-10 mmol/L). For safety evaluation, ß-hydroxybutyrate (BHB), glucagon, insulin and gastric inhibitory polypeptide were measured. RESULTS Fifteen adolescents (aged 15.4 ± 1.6 years, diabetes duration 10.0 ± 3.4 years, HbA1c 8.4% ± 0.9% [67.7 ± 10.1 mmol/mol]) and 15 young adults (aged 18.7 ± 0.8 years; diabetes duration 12.5 ± 3.6 years; HbA1c 8.3% ± 0.9% [68.5 ± 11.2 mmol/mol]) completed the trial. TIR was significantly higher in the intervention group compared with placebo (68% ± 6% vs. 50% ± 13%; P < .001); nocturnal glucose was significantly lower with dapagliflozin (6.2 ± 0.7 vs. 7.3 ± 1.7 mmol/L; P = .003) without an increase in time at less than 3.9 mmol/L (3.3% ± 6.0% vs 3.1% ± 5.2%; P = .75). Urinary glucose excretion was increased 3-fold using dapagliflozin (149 ± 42 vs. 49 ± 23 g/24 hours) with a total insulin reduction of 22% (39.7 ± 12.7 vs. 30.6 ± 10.4 U; P = .004). No abnormal elevated BHB values were observed. CONCLUSIONS In adolescents and adults with T1D, dapagliflozin significantly increased TIR on average by 259 minutes/day while reducing glycaemic variability during FCL control without any signs of hypoglycaemia or ketosis.
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Affiliation(s)
- Torben Biester
- Diabetes Centre for Children and Adolescents, Kinder und Jugendkrankenhaus, Auf der Bult, Hannover, Germany
| | - Ido Muller
- DreaMed Diabetes Ltd, Petah Tikva, Israel
| | - Thekla von dem Berge
- Diabetes Centre for Children and Adolescents, Kinder und Jugendkrankenhaus, Auf der Bult, Hannover, Germany
| | - Eran Atlas
- DreaMed Diabetes Ltd, Petah Tikva, Israel
| | - Revital Nimri
- The Jesse Z. and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Centre for Childhood Diabetes, Schneider Children's Medical Centre of Israel, Petah Tikva, Israel
| | - Moshe Phillip
- The Jesse Z. and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Centre for Childhood Diabetes, Schneider Children's Medical Centre of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tadej Battelino
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Natasa Bratina
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Klemen Dovc
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Olga Kordonouri
- Diabetes Centre for Children and Adolescents, Kinder und Jugendkrankenhaus, Auf der Bult, Hannover, Germany
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Kinder und Jugendkrankenhaus, Auf der Bult, Hannover, Germany
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Zhang M, Yan S, Xu X, Yu T, Guo Z, Ma M, Zhang Y, Gu Z, Feng Y, Du C, Wan M, Hu K, Han X, Gu N. Three-dimensional cell-culture platform based on hydrogel with tunable microenvironmental properties to improve insulin-secreting function of MIN6 cells. Biomaterials 2021; 270:120687. [PMID: 33540170 DOI: 10.1016/j.biomaterials.2021.120687] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 12/10/2020] [Accepted: 01/18/2021] [Indexed: 01/13/2023]
Abstract
Pancreatic β-cells have been reported to be mechanosensitive to cellular microenvironments, and subjecting the cells to more physiologically relevant microenvironments can produce better results than when subjecting them to the conventional two-dimensional (2D) cell-culture conditions. In this work, we propose a novel three-dimensional (3D) strategy for inducing multicellular spheroid formation based on hydrogels with tunable mechanical and interfacial properties. The results indicate that MIN6 cells can sense the substrates and form tightly clustered monolayers or multicellular spheroids on hydrogels with tunable physical properties. Compared to the conventional 2D cell-culture system, the glucose sensitivities of the MIN6 cells cultured in the 3D culture model is enhanced greatly and their insulin content (relative to the amount of protein) is increased 7.3-7.9 folds. Moreover, the relative gene and protein expression levels of some key factors such as Pdx1, NeuroD1, Piezo1, and Rac1 in the MIN6 cells are significantly higher on the 3D platform, compared to the 2D control group. We believe that this 3D cell-culture system developed for the generation of multicellular spheroids will be a promising platform for diabetes treatment in clinical islet transplantation.
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Affiliation(s)
- Miao Zhang
- State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Sen Yan
- State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Xueqin Xu
- Key Laboratory of Clinical and Medical Engineering, School of Biomedical Engineering and Informatics, Department of Biomedical Engineering, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Tingting Yu
- Department of Medical Genetics, School of Basic Medical Science & Jiangsu Key Laboratory of Xenotransplantation, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Zhaobin Guo
- Institute for Nanobiotechnology, Johns Hopkins University, Baltimore, MD, USA
| | - Ming Ma
- State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yi Zhang
- Department of Colorectal Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| | - Zhuxiao Gu
- Jiangsu Key Laboratory of Oral Diseases, Department of Prosthodontics, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| | - Yiwei Feng
- Key Laboratory of Clinical and Medical Engineering, School of Biomedical Engineering and Informatics, Department of Biomedical Engineering, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Chunyue Du
- Key Laboratory of Clinical and Medical Engineering, School of Biomedical Engineering and Informatics, Department of Biomedical Engineering, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Mengqi Wan
- Key Laboratory of Clinical and Medical Engineering, School of Biomedical Engineering and Informatics, Department of Biomedical Engineering, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Ke Hu
- Key Laboratory of Clinical and Medical Engineering, School of Biomedical Engineering and Informatics, Department of Biomedical Engineering, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
| | - Xiao Han
- Key Laboratory of Human Functional Genomics of Jiangsu Province, Department of Biochemistry and Molecular Biology, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
| | - Ning Gu
- State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing 210096, China.
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Bergenstal RM, Nimri R, Beck RW, Criego A, Laffel L, Schatz D, Battelino T, Danne T, Weinzimer SA, Sibayan J, Johnson ML, Bailey RJ, Calhoun P, Carlson A, Isganaitis E, Bello R, Albanese-O'Neill A, Dovc K, Biester T, Weyman K, Hood K, Phillip M. A comparison of two hybrid closed-loop systems in adolescents and young adults with type 1 diabetes (FLAIR): a multicentre, randomised, crossover trial. Lancet 2021; 397:208-219. [PMID: 33453783 PMCID: PMC9194961 DOI: 10.1016/s0140-6736(20)32514-9] [Citation(s) in RCA: 199] [Impact Index Per Article: 66.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 11/02/2020] [Accepted: 11/10/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Management of type 1 diabetes is challenging. We compared outcomes using a commercially available hybrid closed-loop system versus a new investigational system with features potentially useful for adolescents and young adults with type 1 diabetes. METHODS In this multinational, randomised, crossover trial (Fuzzy Logic Automated Insulin Regulation [FLAIR]), individuals aged 14-29 years old, with a clinical diagnosis of type 1 diabetes with a duration of at least 1 year, using either an insulin pump or multiple daily insulin injections, and glycated haemoglobin (HbA1c) levels of 7·0-11·0% (53-97 mmol/mol) were recruited from seven academic-based endocrinology practices, four in the USA, and one each in Germany, Israel, and Slovenia. After a run-in period to teach participants how to use the study pump and continuous glucose monitor, participants were randomly assigned (1:1) using a computer-generated sequence, with a permuted block design (block sizes of two and four), stratified by baseline HbA1c and use of a personal MiniMed 670G system (Medtronic) at enrolment, to either use of a MiniMed 670G hybrid closed-loop system (670G) or the investigational advanced hybrid closed-loop system (Medtronic) for the first 12-week period, and then participants were crossed over with no washout period, to the other group for use for another 12 weeks. Masking was not possible due to the nature of the systems used. The coprimary outcomes, measured with continuous glucose monitoring, were proportion of time that glucose levels were above 180 mg/dL (>10·0 mmol/L) during 0600 h to 2359 h (ie, daytime), tested for superiority, and proportion of time that glucose levels were below 54 mg/dL (<3·0 mmol/L) calculated over a full 24-h period, tested for non-inferiority (non-inferiority margin 2%). Analysis was by intention to treat. Safety was assessed in all participants randomly assigned to treatment. This trial is registered with ClinicalTrials.gov, NCT03040414, and is now complete. FINDINGS Between June 3 and Aug 22, 2019, 113 individuals were enrolled into the trial. Mean age was 19 years (SD 4) and 70 (62%) of 113 participants were female. Mean proportion of time with daytime glucose levels above 180 mg/dL (>10·0 mmol/L) was 42% (SD 13) at baseline, 37% (9) during use of the 670G system, and 34% (9) during use of the advanced hybrid closed-loop system (mean difference [advanced hybrid closed-loop system minus 670G system] -3·00% [95% CI -3·97 to -2·04]; p<0·0001). Mean 24-h proportion of time with glucose levels below 54 mg/dL (<3·0 mmol/L) was 0·46% (SD 0·42) at baseline, 0·50% (0·35) during use of the 670G system, and 0·46% (0·33) during use of the advanced hybrid closed-loop system (mean difference [advanced hybrid closed-loop system minus 670G system] -0·06% [95% CI -0·11 to -0·02]; p<0·0001 for non-inferiority). One severe hypoglycaemic event occurred in the advanced hybrid closed-loop system group, determined to be unrelated to study treatment, and none occurred in the 670G group. INTERPRETATION Hyperglycaemia was reduced without increasing hypoglycaemia in adolescents and young adults with type 1 diabetes using the investigational advanced hybrid closed-loop system compared with the commercially available MiniMed 670G system. Testing an advanced hybrid closed-loop system in populations that are underserved due to socioeconomic factors and testing during pregnancy and in individuals with impaired awareness of hypoglycaemia would advance the effective use of this technology FUNDING: National Institute of Diabetes and Digestive and Kidney Diseases.
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Affiliation(s)
| | - Revital Nimri
- Schneider Children's Medical Center, Petah Tikva, Israel
| | - Roy W Beck
- Jaeb Center for Health Research Foundation, Tampa, FL, USA
| | - Amy Criego
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN, USA
| | - Lori Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Desmond Schatz
- Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Tadej Battelino
- University Medical Center Ljubljana, University Children's Hospital, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Thomas Danne
- Auf der Bult Centre for Children and Adolescents, Diabetology, Endocrinology and General Paediatrics, Hannover, Germany
| | | | - Judy Sibayan
- Jaeb Center for Health Research Foundation, Tampa, FL, USA
| | - Mary L Johnson
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN, USA
| | - Ryan J Bailey
- Jaeb Center for Health Research Foundation, Tampa, FL, USA
| | - Peter Calhoun
- Jaeb Center for Health Research Foundation, Tampa, FL, USA
| | - Anders Carlson
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN, USA
| | | | - Rachel Bello
- Schneider Children's Medical Center, Petah Tikva, Israel
| | | | - Klemen Dovc
- University Medical Center Ljubljana, University Children's Hospital, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Torben Biester
- Auf der Bult Centre for Children and Adolescents, Diabetology, Endocrinology and General Paediatrics, Hannover, Germany
| | - Kate Weyman
- Department of Pediatrics, Yale University, New Haven, CT, USA
| | - Korey Hood
- Stanford University School of Medicine, Stanford Diabetes Research Center, Palo Alto, CA, USA
| | - Moshe Phillip
- Schneider Children's Medical Center, Petah Tikva, Israel
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Artificial Intelligence in Pediatrics. Artif Intell Med 2021. [DOI: 10.1007/978-3-030-58080-3_316-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Dovc K, Battelino T. Closed-loop insulin delivery systems in children and adolescents with type 1 diabetes. Expert Opin Drug Deliv 2020; 17:157-166. [PMID: 32077342 DOI: 10.1080/17425247.2020.1713747] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Introduction: Optimal glycemic control remains challenging in children and adolescents with type 1 diabetes due to highly variable day-to-day and night-to-night insulin requirements. This hurdle could be addressed by glucose-responsive insulin delivery based on real-time continuous glucose measurements.Areas covered: This review summaries recent advances of closed-loop systems in children and adolescents with type 1 diabetes, using both single- and dual-hormone closed-loop systems. The main outcomes, proportions of time spent in target range 70-180 mg/dl, and time spent in hypoglycemia below 70 mg/dl, are assessed particularly during unsupervised free-living randomized controlled trials.Expert opinion: Noteworthy and clinically meaningful translation of experimental investigations from controlled in-hospital settings to unrestricted home studies have been achieved over the past years, resulting in the regulatory approval of the first hybrid closed-loop system also in the pediatric population and with several other advanced devices in the pipeline. Large multinational and pivotal clinical trials including broad age populations are underway to facilitate the use of closed-loop systems in routine clinical practice.
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Affiliation(s)
- Klemen Dovc
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tadej Battelino
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Heinemann L, Lange K. "Do It Yourself" (DIY)-Automated Insulin Delivery (AID) Systems: Current Status From a German Point of View. J Diabetes Sci Technol 2020; 14:1028-1034. [PMID: 31875681 PMCID: PMC7645134 DOI: 10.1177/1932296819889641] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A group of dedicated people with a high affinity for technology and good understanding of how to treat their type 1 diabetes have developed systems that enable automated insulin delivery (AID). These persons build these AID systems only for themselves (do it yourself [DIY]) and the quality of glucose control achieved with DIY AID systems is impressively good. This overview presents the current status of this development from a German point of view. A high degree of efforts is required to start and maintain this type of therapy and the user must always remain aware of what she/he is doing in everyday life. One main obstacle is liability, because the medicinal products used by persons with diabetes for DIY AID systems are not approved for this indication. They must be regarded as experimental systems. As long as persons with diabetes build and use these systems for themselves and not for other people, they act at their own risk. If a person with diabetes expresses interest in such a system or is already using it, the diabetologist should inform him about the improper use of the medical devices and about the associated risks. The physician should document this information accordingly.
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Affiliation(s)
- Lutz Heinemann
- Science Consulting in Diabetes GmbH, Neuss, Germany
- Lutz Heinemann, PhD, Science Consulting in Diabetes GmbH, Geulenstr. 50, Neuss 41462, Germany.
| | - Karin Lange
- Hannover Medical School, Dept. Medical Psychology, Hannover, Germany
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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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Breton MD, Kanapka LG, Beck RW, Ekhlaspour L, Forlenza GP, Cengiz E, Schoelwer M, Ruedy KJ, Jost E, Carria L, Emory E, Hsu LJ, Oliveri M, Kollman CC, Dokken BB, Weinzimer SA, DeBoer MD, Buckingham BA, Cherñavvsky D, Wadwa RP. A Randomized Trial of Closed-Loop Control in Children with Type 1 Diabetes. N Engl J Med 2020; 383:836-845. [PMID: 32846062 PMCID: PMC7920146 DOI: 10.1056/nejmoa2004736] [Citation(s) in RCA: 253] [Impact Index Per Article: 63.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND A closed-loop system of insulin delivery (also called an artificial pancreas) may improve glycemic outcomes in children with type 1 diabetes. METHODS In a 16-week, multicenter, randomized, open-label, parallel-group trial, we assigned, in a 3:1 ratio, children 6 to 13 years of age who had type 1 diabetes to receive treatment with the use of either a closed-loop system of insulin delivery (closed-loop group) or a sensor-augmented insulin pump (control group). The primary outcome was the percentage of time that the glucose level was in the target range of 70 to 180 mg per deciliter, as measured by continuous glucose monitoring. RESULTS A total of 101 children underwent randomization (78 to the closed-loop group and 23 to the control group); the glycated hemoglobin levels at baseline ranged from 5.7 to 10.1%. The mean (±SD) percentage of time that the glucose level was in the target range of 70 to 180 mg per deciliter increased from 53±17% at baseline to 67±10% (the mean over 16 weeks of treatment) in the closed-loop group and from 51±16% to 55±13% in the control group (mean adjusted difference, 11 percentage points [equivalent to 2.6 hours per day]; 95% confidence interval, 7 to 14; P<0.001). In both groups, the median percentage of time that the glucose level was below 70 mg per deciliter was low (1.6% in the closed-loop group and 1.8% in the control group). In the closed-loop group, the median percentage of time that the system was in the closed-loop mode was 93% (interquartile range, 91 to 95). No episodes of diabetic ketoacidosis or severe hypoglycemia occurred in either group. CONCLUSIONS In this 16-week trial involving children with type 1 diabetes, the glucose level was in the target range for a greater percentage of time with the use of a closed-loop system than with the use of a sensor-augmented insulin pump. (Funded by Tandem Diabetes Care and the National Institute of Diabetes and Digestive and Kidney Diseases; ClinicalTrials.gov number, NCT03844789.).
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Affiliation(s)
- Marc D Breton
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Lauren G Kanapka
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Roy W Beck
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Laya Ekhlaspour
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Gregory P Forlenza
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Eda Cengiz
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Melissa Schoelwer
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Katrina J Ruedy
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Emily Jost
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Lori Carria
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Emma Emory
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Liana J Hsu
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Mary Oliveri
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Craig C Kollman
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Betsy B Dokken
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Stuart A Weinzimer
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Mark D DeBoer
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Bruce A Buckingham
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - Daniel Cherñavvsky
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
| | - R Paul Wadwa
- From the University of Virginia Center for Diabetes Technology, Charlottesville (M.D.B., M.S., E.E., M.O., M.D.D., D.C.); the Jaeb Center for Health Research, Tampa, FL (L.G.K., R.W.B., K.J.R., C.C.K.); the Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford (L.E., L.J.H., B.A.B.), and Tandem Diabetes Care, San Diego (B.B.D.) - both in California; the Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora (G.P.F., E.J., R.P.W.); and the Department of Pediatrics, Yale University School of Medicine, New Haven, CT (E.C., L.C., S.A.W.)
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Non-invasive continuous-time glucose monitoring system using a chipless printable sensor based on split ring microwave resonators. Sci Rep 2020; 10:12980. [PMID: 32737348 PMCID: PMC7395170 DOI: 10.1038/s41598-020-69547-1] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 07/08/2020] [Indexed: 11/29/2022] Open
Abstract
This paper reports a highly sensitive, non-invasive sensor for real-time glucose monitoring from interstitial fluid. The structure is comprised of a chip-less tag sensor which may be taped over the patient’s skin and a reader, that can be embedded in a smartwatch. The tag sensor is energized through the established electromagnetic coupling between the tag and the reader and its frequency response is reflected on the spectrum of the reader in the same manner. The tag sensor consumes zero power as there is no requirement for any active readout or communication circuitry on the tag side. When measuring changes in glucose concentrations within saline replicating interstitial fluid, the sensor was able to detect glucose with an accuracy of ~ 1 mM/l over a physiological range of glucose concentrations with 38 kHz of the resonance frequency shift. This high sensitivity is attained as a result of the proposed new design and extended field concentration on the tag. The impact of some of the possible interferences on the response of the sensor’s performance was also investigated. Variations in electrolyte concentrations within the test samples have a negligible effect on the response of the sensor unless these variations are supra-physiologically large.
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Fuchs J, Hovorka R. Closed-loop control in insulin pumps for type-1 diabetes mellitus: safety and efficacy. Expert Rev Med Devices 2020; 17:707-720. [PMID: 32569476 PMCID: PMC7441745 DOI: 10.1080/17434440.2020.1784724] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 06/16/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Type 1 diabetes is a lifelong disease with high management burden. The majority of people with type 1 diabetes fail to achieve glycemic targets. Algorithm-driven automated insulin delivery (closed-loop) systems aim to address these challenges. This review provides an overview of commercial and emerging closed-loop systems. AREAS COVERED We review safety and efficacy of commercial and emerging hybrid closed-loop systems. A literature search was conducted and clinical trials using day-and-night closed-loop systems during free-living conditions were used to report on safety data. We comment on efficacy where robust randomized controlled trial data for a particular system are available. We highlight similarities and differences between commercial systems. EXPERT OPINION Study data shows that hybrid closed-loop systems are safe and effective, consistently improving glycemic control when compared to standard therapy. While a fully closed-loop system with minimal burden remains the end-goal, these hybrid closed-loop systems have transformative potential in diabetes care.
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Affiliation(s)
- Julia Fuchs
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
- Department of Paediatrics, University of Cambridge, Cambridge, United Kingdom
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Abstract
Treatments for type 1 diabetes have advanced significantly over recent years. There are now multiple hybrid closed-loop systems commercially available and additional systems are in development. Challenges remain, however. This review outlines the recent advances in closed-loop systems and outlines the remaining challenges, including post-prandial hyperglycemia and exercise-related dysglycemia.
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Affiliation(s)
- Melanie Jackson
- Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, Oregon
| | - Jessica R. Castle
- Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, Oregon
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