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Low-dose nano-gel incorporated with bile acids enhanced pharmacology of surgical implants. Ther Deliv 2023; 14:17-29. [PMID: 36919692 DOI: 10.4155/tde-2022-0037] [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: 03/16/2023] Open
Abstract
Aim: Major challenges to islet transplantation in Type 1 diabetes include host-inflammation, which results in failure to maintain survival and functions of transplanted islets. Therefore, this study investigated the applications of encapsulating the bile acid ursodeoxycholic acid (UDCA) with transplanted islets within improved nano-gel systems for Type 1 diabetes treatment. Materials & methods: Islets were harvested from healthy mice, encapsulated using UDCA-nano gel and transplanted into the diabetic mice, while the control group was transplanted encapsulated islets without UDCA. The two groups' survival plot, blood glucose, and inflammation and bile acid profiles were analyzed. Results & conclusion: UDCA-nano gel enhanced survival, glycemia and normalized bile acids' profile, which suggests improved islets functions and potential adjunct treatment for insulin therapy.
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Mameli C, Smylie GM, Galati A, Rapone B, Cardona-Hernandez R, Zuccotti G, Delvecchio M. Safety, metabolic and psychological outcomes of Medtronic MiniMed 670G in children, adolescents and young adults: a systematic review. Eur J Pediatr 2023; 182:1949-1963. [PMID: 36809498 PMCID: PMC9942055 DOI: 10.1007/s00431-023-04833-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 01/18/2023] [Accepted: 01/20/2023] [Indexed: 02/23/2023]
Abstract
Hybrid closed loop (HCL) systems are the combination of a pump for insulin delivery and a glucose sensor for continuous glucose monitoring. These systems are managed by an algorithm, which delivers insulin on the basis of the interstitial glucose levels. The MiniMed™ 670G system was the first HCL system available for clinical purpose. In this paper, we reviewed the literature about metabolic and psychological outcomes in children, adolescents and young adults with type 1 diabetes treated with MiniMed™ 670G. Only 30 papers responded to the inclusion criteria and thus were considered. All the papers show that the system is safe and effective in managing glucose control. Metabolic outcomes are available up to 12 months of follow-up; longer study period are lacking. This HCL system may improve HbA1c up to 7.1% and time in range up to 73%. The time spent in hypoglycaemia is almost neglectable. Better improvement in blood glucose control is observed in patients with higher HbA1c at HCL system start and larger daily use of auto-mode functionality. Conclusion: The Medtronic MiniMed™ 670G is safe and well accepted, without any increase in the burden for patients. Some papers report an improvement in the psychological outcomes, but other papers do not confirm this finding. So far, it significantly improves the management of diabetes mellitus in children, adolescents and young adults. Proper training and support by the diabetes team are mandatory. Studies for a period longer than 1 year would be appreciated to better understand the potentiality of this system. What is Known: • The Medtronic MiniMedTM 670G is a hybrid closed loop system which combines a continuous glucose monitoring sensor with an insulin pump. • It has been the first hybrid closed loop system available for clinical purpose. Adequate training and patients support play a key role in diabetes management. What is New: • The Medtronic MiniMedTM 670G may improve HbA1c and CGM metrics up to 1-year of follow-up, but the improvement appears lower than advanced hybrid closed loop systems. This system is effective to prevent hypoglycaemia. • The psychosocial effects remain less understood in terms of improvement of psychosocial outcomes. The system has been considered to provide flexibility and independence by the patients and their caregivers. The workload required to use this system is perceived as a burden by the patients who decrease the use of auto-mode functionality over time.
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Affiliation(s)
- Chiara Mameli
- grid.4708.b0000 0004 1757 2822Department of Pediatrics, Buzzi Children’s Hospital, University of Milan, Milan, Italy ,grid.4708.b0000 0004 1757 2822Department of Biomedical and Clinical Science, University of Milan, Milan, Italy
| | - Giulia Marie Smylie
- grid.4708.b0000 0004 1757 2822Department of Pediatrics, Buzzi Children’s Hospital, University of Milan, Milan, Italy
| | - Alessio Galati
- Metabolic Disorders and Diabetes Unit, “Giovanni XXIII” Children’s Hospital, AOU Policlinico-Giovanni XXIII, Bari, Italy
| | - Biagio Rapone
- grid.7644.10000 0001 0120 3326Department of Interdisciplinary Medicine, University of Bari “Aldo Moro, 70121 Bari, Italy
| | - Roque Cardona-Hernandez
- grid.411160.30000 0001 0663 8628Division of Pediatric Endocrinology, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Gianvincenzo Zuccotti
- grid.4708.b0000 0004 1757 2822Department of Pediatrics, Buzzi Children’s Hospital, University of Milan, Milan, Italy ,grid.4708.b0000 0004 1757 2822Department of Biomedical and Clinical Science, University of Milan, Milan, Italy
| | - Maurizio Delvecchio
- Metabolic Disorders and Diabetes Unit, "Giovanni XXIII" Children's Hospital, AOU Policlinico-Giovanni XXIII, Bari, Italy.
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Farooq MS, Riaz S, Tehseen R, Farooq U, Saleem K. Role of Internet of things in diabetes healthcare: Network infrastructure, taxonomy, challenges, and security model. Digit Health 2023; 9:20552076231179056. [PMID: 37312944 PMCID: PMC10259116 DOI: 10.1177/20552076231179056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 05/03/2023] [Indexed: 06/15/2023] Open
Abstract
The Internet of things (IoT) is an emerging technology that enables ubiquitous devices to connect with the Internet. IoT technology has revolutionized the medical and healthcare industry by interconnecting smart devices and sensors. IoT-based devices and biosensors are ideal to detect diabetes disease by collecting the accurate value of glucose continuously. Diabetes is one of the well-known and major chronic diseases that has a worldwide social impact on community life. Blood glucose monitoring is a challenging task, and there is a need to propose a proper architecture of the noninvasive glucose sensing and monitoring mechanism, which could make diabetic people aware of self-management techniques. This survey presents a rigorous discussion of diabetes types and presents detection techniques based on IoT technology. In this research, an IoT-based healthcare network infrastructure has been proposed for monitoring diabetes disease based on big data analytics, cloud computing, and machine learning. The proposed infrastructure could handle the symptoms of diabetes, collect data, analyze it, and then transmit the results to the server for the next action. Besides, presented an inclusive survey on IoT-based diabetes monitoring applications, services, and proposed solutions. Furthermore, based on IoT technology the diabetes disease management taxonomy has also been presented. Finally, presented the attacks taxonomy as well as discussed challenges, and proposed a lightweight security model in order to secure the patient's health data.
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Affiliation(s)
- Muhammad Shoaib Farooq
- Department of Computer Science, University of Management and Technology, Lahore, Pakistan
| | - Shamyla Riaz
- Department of Computer Science, University of Management and Technology, Lahore, Pakistan
| | - Rabia Tehseen
- Department of computer science, University of Central Punjab, Lahore, Pakistan
| | - Uzma Farooq
- Department of Computer Science, University of Management and Technology, Lahore, Pakistan
| | - Khalid Saleem
- Department of Computer Sciences, Quaid-i-Azam University, Islamabad, Pakistan
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Liu Y, Yu Q, Luo X, Ye L, Yang L, Cui Y. A Microtube-Based Wearable Closed-Loop Minisystem for Diabetes Management. RESEARCH 2022; 2022:9870637. [PMID: 36349339 PMCID: PMC9639446 DOI: 10.34133/2022/9870637] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 09/12/2022] [Indexed: 11/26/2022]
Abstract
Diabetes is a chronic metabolic disease with a high blood glucose level, leading to both seriously acute and chronic complications. The closed-loop system is an ideal system for diabetes management. However, the large size and high cost of the commercial systems restrict their widespread uses. Here, we present for the first time a microtube-based wearable closed-loop minisystem for diabetes management. The closed-loop minisystem includes a biosensing device, an electroosmotic micropump, and a printed circuit board (PCB) with an algorithm. The microtube-based sensing device coated on the outer surface of the microtube is inserted into subcutaneous tissue for detecting interstitial glucose; the current signal for sensing glucose is processed by the PCB to power the electroosmotic micropump intelligently for the delivery of insulin into the subcutaneous tissue via the microtube channel. The closed-loop minisystem worn on a diabetic SD rat can successfully maintain its blood glucose level within a safe level. It is expected that this new closed-loop paradigm could open up new prospects for clinical diabetes management.
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Affiliation(s)
- Yiqun Liu
- School of Materials Science and Engineering, Peking University, China
- First Hospital Interdisciplinary Research Center, Peking University, Beijing, P. R., China
| | - Qi Yu
- Renal Division, Peking University First Hospital, China
- Peking University Institute of Nephrology, China
- Key Laboratory of Renal Disease, Ministry of Health of China, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, P. R., China
| | - Xiaojin Luo
- School of Materials Science and Engineering, Peking University, China
- First Hospital Interdisciplinary Research Center, Peking University, Beijing, P. R., China
| | - Le Ye
- School of Integrated Circuits, Peking University, Beijing, P. R., China
| | - Li Yang
- Renal Division, Peking University First Hospital, China
- Peking University Institute of Nephrology, China
- Key Laboratory of Renal Disease, Ministry of Health of China, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, P. R., China
| | - Yue Cui
- School of Materials Science and Engineering, Peking University, China
- First Hospital Interdisciplinary Research Center, Peking University, Beijing, P. R., China
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Armiger R, Reddy M, Oliver NS, Georgiou P, Herrero P. An In Silico Head-to-Head Comparison of the Do-It-Yourself Artificial Pancreas Loop and Bio-Inspired Artificial Pancreas Control Algorithms. J Diabetes Sci Technol 2022; 16:29-39. [PMID: 34861785 PMCID: PMC8875066 DOI: 10.1177/19322968211060074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND User-developed automated insulin delivery systems, also referred to as do-it-yourself artificial pancreas systems (DIY APS), are in use by people living with type 1 diabetes. In this work, we evaluate, in silico, the DIY APS Loop control algorithm and compare it head-to-head with the bio-inspired artificial pancreas (BiAP) controller for which clinical data are available. METHODS The Python version of the Loop control algorithm called PyLoopKit was employed for evaluation purposes. A Python-MATLAB interface was created to integrate PyLoopKit with the UVa-Padova simulator. Two configurations of BiAP (non-adaptive and adaptive) were evaluated. In addition, the Tandem Basal-IQ predictive low-glucose suspend was used as a baseline algorithm. Two scenarios with different levels of variability were used to challenge the algorithms on the adult (n = 10) and adolescent (n = 10) virtual cohorts of the simulator. RESULTS Both BiAP and Loop improve, or maintain, glycemic control when compared with Basal-IQ. Under the scenario with lower variability, BiAP and Loop perform relatively similarly. However, BiAP, and in particular its adaptive configuration, outperformed Loop in the scenario with higher variability by increasing the percentage time in glucose target range 70-180 mg/dL (BiAP-Adaptive vs Loop vs Basal-IQ) (adults: 89.9% ± 3.2%* vs 79.5% ± 5.3%* vs 67.9% ± 8.3%; adolescents: 74.6 ± 9.5%* vs 53.0% ± 7.7% vs 55.4% ± 12.0%, where * indicates the significance of P < .05 calculated in sequential order) while maintaining the percentage time below range (adults: 0.89% ± 0.37% vs 1.72% ± 1.26% vs 3.41 ± 1.92%; adolescents: 2.87% ± 2.77% vs 4.90% ± 1.92% vs 4.17% ± 2.74%). CONCLUSIONS Both Loop and BiAP algorithms are safe and improve glycemic control when compared, in silico, with Basal-IQ. However, BiAP appears significantly more robust to real-world challenges by outperforming Loop and Basal-IQ in the more challenging scenario.
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Affiliation(s)
- Ryan Armiger
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
| | - Monika Reddy
- Division of Diabetes, Endocrinology & Metabolism, Department of Medicine, Faculty of Medicine, Imperial College London, London, UK
| | - Nick S. Oliver
- Division of Diabetes, Endocrinology & Metabolism, Department of Medicine, Faculty of Medicine, Imperial College London, London, UK
| | - Pantelis Georgiou
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
| | - Pau Herrero
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
- Pau Herrero, PhD, Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
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Liu Y, Yu Q, Luo X, Yang L, Cui Y. Continuous monitoring of diabetes with an integrated microneedle biosensing device through 3D printing. MICROSYSTEMS & NANOENGINEERING 2021; 7:75. [PMID: 34631143 PMCID: PMC8481261 DOI: 10.1038/s41378-021-00302-w] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/14/2021] [Accepted: 08/10/2021] [Indexed: 05/14/2023]
Abstract
Diabetes is a prevalent chronic metabolic disease with multiple clinical manifestations and complications, and it is among the leading causes of death. Painless and continuous monitoring of interstitial glucose is highly desirable for diabetes management. Here we unprecedentedly show continuous monitoring of diabetes with an integrated microneedle biosensing device. The device was manufactured with a 3D printing process, a microfabrication process, an electroplating process, and an enzyme immobilization step. The device was inserted into the dermis layer of mouse skin and showed accurate sensing performance for monitoring subcutaneous glucose levels in normal or diabetic mice. The detection results were highly correlated with those obtained from a commercial blood glucose meter. We anticipate that the study could open exciting avenues for monitoring and managing diabetes, alongside fundamental studies of subcutaneous electronic devices.
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Affiliation(s)
- Yiqun Liu
- School of Materials Science and Engineering, Peking University, 100871 Beijing, P. R. China
| | - Qi Yu
- Renal Division, Peking University Institute of Nephrology, Peking University First Hospital, 100034 Beijing, P. R. China
| | - Xiaojin Luo
- School of Materials Science and Engineering, Peking University, 100871 Beijing, P. R. China
| | - Li Yang
- Renal Division, Peking University Institute of Nephrology, Peking University First Hospital, 100034 Beijing, P. R. China
| | - Yue Cui
- School of Materials Science and Engineering, Peking University, 100871 Beijing, P. R. China
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Boscari F, Avogaro A. Current treatment options and challenges in patients with Type 1 diabetes: Pharmacological, technical advances and future perspectives. Rev Endocr Metab Disord 2021; 22:217-240. [PMID: 33755854 PMCID: PMC7985920 DOI: 10.1007/s11154-021-09635-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
Type 1 diabetes mellitus imposes a significant burden of complications and mortality, despite important advances in treatment: subjects affected by this disease have also a worse quality of life-related to disease management. To overcome these challenges, different new approaches have been proposed, such as new insulin formulations or innovative devices. The introduction of insulin pumps allows a more physiological insulin administration with a reduction of HbA1c level and hypoglycemic risk. New continuous glucose monitoring systems with better accuracy have allowed, not only better glucose control, but also the improvement of the quality of life. Integration of these devices with control algorithms brought to the creation of the first artificial pancreas, able to independently gain metabolic control without the risk of hypo- and hyperglycemic crisis. This approach has revolutionized the management of diabetes both in terms of quality of life and glucose control. However, complete independence from exogenous insulin will be obtained only by biological approaches that foresee the replacement of functional beta cells obtained from stem cells: this will be a major challenge but the biggest hope for the subjects with type 1 diabetes. In this review, we will outline the current scenario of innovative diabetes management both from a technological and biological point of view, and we will also forecast some cutting-edge approaches to reduce the challenges that hamper the definitive cure of diabetes.
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Affiliation(s)
- Federico Boscari
- Department of Medicine, Unit of Metabolic Diseases, University of Padova, Padova, Italy.
| | - Angelo Avogaro
- Department of Medicine, Unit of Metabolic Diseases, University of Padova, Padova, Italy
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Joseph JI. Review of the Long-Term Implantable Senseonics Continuous Glucose Monitoring System and Other Continuous Glucose Monitoring Systems. J Diabetes Sci Technol 2021; 15:167-173. [PMID: 32345047 PMCID: PMC7783000 DOI: 10.1177/1932296820911919] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The article published by Kevin Cowart in this issue of the Journal of Diabetes Science and Technology (JDST) is a detailed overview of the clinical trial data and analysis used to demonstrate the safety and effectiveness of the Eversense continuous glucose monitoring (CGM) System for regulatory approval and clinical acceptance. The article describes the published study results for safety, accuracy, reliability, ease of insertion/removal, adverse events, and ease of diabetes patient-use for controlling their glucose levels short and long term. The author nicely compares Eversense CGM System safety and performance with the short-term subcutaneous tissue CGM systems being commercialized by Dexcom, Medtronic Diabetes, and Abbott Diabetes. This comparison may help the clinician define which type of patient with diabetes might benefit the most from the long-term implantable CGM system. The majority of studied patients describe a positive experience managing their diabetes with the Eversense CGM System and request implantation of a new sensor 90 or 180 days later.
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Affiliation(s)
- Jeffrey I. Joseph
- Jeffrey I. Joseph, DO, Department of Anesthesiology, Sidney Kimmel Medical College, Jefferson Artificial Pancreas Center, Thomas Jefferson University, 1020 Locust Street, JAH # 565, Philadelphia, PA 19072, USA.
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Akturk HK, Giordano D, Champakanath A, Brackett S, Garg S, Snell-Bergeon J. Long-term real-life glycaemic outcomes with a hybrid closed-loop system compared with sensor-augmented pump therapy in patients with type 1 diabetes. Diabetes Obes Metab 2020; 22:583-589. [PMID: 31789447 DOI: 10.1111/dom.13933] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 11/22/2019] [Accepted: 11/27/2019] [Indexed: 01/07/2023]
Abstract
AIM To compare glycaemic metrics at 3 and 6 months in patients with type 1 diabetes on a 670G hybrid closed-loop (HCL) system after using a sensor-augmented pump (SAP) for at least 3 months. MATERIALS AND METHODS A retrospective study from a centre that has the largest number of 670G users in the United States was conducted. Data from 202 SAP users were reviewed. Sixty-one patients were excluded (two for steroid use, four for pregnancy, 27 for previous Enlite use, and 28 for non-continuous use of 670G). Out of 141 patients who met the inclusion criteria, 127 (aged 21-68 years) had complete data. RESULTS HbA1c levels decreased by 0.4% at 3 months and were maintained at 6 months (7.6 ± 0.07 vs. 7.2 ± 0.08, P < 0.001) with no weight gain at 6 months. Time-in-range (70-180 mg/dL) increased from 59.5% ± 1.1% to 70.2% ± 1.2% and 70.1% ± 1.1% at 3 and 6 months (P < 0.001), respectively. At 6 months, time spent in hypoglycaemia (<70 mg/dL) and time spent in hyperglycaemia (>180 mg/dL) were reduced by 30% (2.2% ± 0.2% vs. 3.2% ± 0.2%; P < 0.05) and 26% (28.3% ± 1.2% vs. 38.1% ± 1.2%; P < 0.001), respectively. More time in auto-mode was associated with improved continuous glucose monitoring metrics, lower HbA1c and decreased glycaemic variability. Time in auto-mode declined in men after 3 months, while women maintained similar auto-mode use throughout the study. CONCLUSIONS The HCL system improved HbA1c levels and time-in-range, and decreased time spent in hypoglycaemia and hyperglycaemia at 6 months. Auto-mode use was significantly correlated with continuous glucose monitoring metrics and glycaemic outcomes.
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Affiliation(s)
- Halis Kaan Akturk
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado
| | - Dominique Giordano
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado
| | | | - Scott Brackett
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado
| | - Satish Garg
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado
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Wu Z, Luo S, Zheng X, Bi Y, Xu W, Yan J, Yang D, Weng J. Use of a do-it-yourself artificial pancreas system is associated with better glucose management and higher quality of life among adults with type 1 diabetes. Ther Adv Endocrinol Metab 2020; 11:2042018820950146. [PMID: 32922721 PMCID: PMC7453453 DOI: 10.1177/2042018820950146] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Accepted: 07/23/2020] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Previous studies show that the use of do-it-yourself artificial pancreas system (DIYAPS) may be associated with better glycemic control characterized by improved estimated hemoglobin A1c (eHbA1c) and time in range among adults with type 1 diabetes (T1D). However, few studies have demonstrated the changes in laboratory-measured HbA1c, which is a more accepted index for glycemic control, after using a DIYAPS. METHODS This is a retrospective before-after study approaching patients who reported self-use of AndroidAPS. The main inclusion criteria included: T1D; aged ⩾18 years; having complete record of ⩾3 months of continuous AndroidAPS use; with laboratory-measured HbA1c and quality of life scale data before and after 3 months of AndroidAPS use; and not pregnant. The primary outcome was the change in HbA1c between baseline and 3 months after initiation of AndroidAPS use. RESULTS Overall, 15 patients (10 females) were included; the median age was 32.2 years (range: 19.2-69.4), median diabetes duration was 9.7 years (range: 1.8-23.7) and median baseline HbA1c was 7.3% (range: 6.4-10.1). The 3 months of AndroidAPS use was associated with substantial reductions in HbA1c [6.79% (SD: 1.29) versus 7.63% (SD: 1.06), p = 0.002] and glycemic variability when compared with sensor-augmented pump therapy. A lower level of fear of hypoglycemia [22.13 points (SD: 6.87) versus 26.27 points (SD: 5.82), p = 0.010] was also observed after using AndroidAPS. CONCLUSIONS The 3 months of AndroidAPS use was associated with significant improvements in glucose management and quality of life among adults with T1D.
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Affiliation(s)
| | | | - Xueying Zheng
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences of Medicine, University of Science and Technology of China, Hefei, China
| | - Yan Bi
- Department of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China
| | - Wen Xu
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, China
| | - Jinhua Yan
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, China
| | - Daizhi Yang
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, China
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Herrero P, El-Sharkawy M, Daniels J, Jugnee N, Uduku CN, Reddy M, Oliver N, Georgiou P. The Bio-inspired Artificial Pancreas for Type 1 Diabetes Control in the Home: System Architecture and Preliminary Results. J Diabetes Sci Technol 2019; 13:1017-1025. [PMID: 31608656 PMCID: PMC6835194 DOI: 10.1177/1932296819881456] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Artificial pancreas (AP) technology has been proven to improve glucose and patient-centered outcomes for people with type 1 diabetes (T1D). Several approaches to implement the AP have been described, clinically evaluated, and in one case, commercialized. However, none of these approaches has shown a clear superiority with respect to others. In addition, several challenges still need to be solved before achieving a fully automated AP that fulfills the users' expectations. We have introduced the Bio-inspired Artificial Pancreas (BiAP), a hybrid adaptive closed-loop control system based on beta-cell physiology and implemented directly in hardware to provide an embedded low-power solution in a dedicated handheld device. In coordination with the closed-loop controller, the BiAP system incorporates a novel adaptive bolus calculator which aims at improving postprandial glycemic control. This paper focuses on the latest developments of the BiAP system for its utilization in the home environment. METHODS The hardware and software architectures of the BiAP system designed to be used in the home environment are described. Then, the clinical trial design proposed to evaluate the BiAP system in an ambulatory setting is introduced. Finally, preliminary results corresponding to two participants enrolled in the trial are presented. RESULTS Apart from minor technical issues, mainly due to wireless communications between devices, the BiAP system performed well (~88% of the time in closed-loop) during the clinical trials conducted so far. Preliminary results show that the BiAP system might achieve comparable glycemic outcomes to the existing AP systems (~73% time in target range 70-180 mg/dL). CONCLUSION The BiAP system is a viable platform to conduct ambulatory clinical trials and a potential solution for people with T1D to control their glucose control in a home environment.
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Affiliation(s)
- Pau Herrero
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
| | - Mohamed El-Sharkawy
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
| | - John Daniels
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
| | - Narvada Jugnee
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Chukwuma N. Uduku
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Monika Reddy
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Nick Oliver
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Pantelis Georgiou
- Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
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12
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Artificial Pancreas: Current Progress and Future Outlook in the Treatment of Type 1 Diabetes. Drugs 2019; 79:1089-1101. [DOI: 10.1007/s40265-019-01149-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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13
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Current Diabetes Technology: Striving for the Artificial Pancreas. Diagnostics (Basel) 2019; 9:diagnostics9010031. [PMID: 30875898 PMCID: PMC6468523 DOI: 10.3390/diagnostics9010031] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 03/11/2019] [Accepted: 03/12/2019] [Indexed: 12/17/2022] Open
Abstract
Diabetes technology has continually evolved over the years to improve quality of life and ease of care for affected patients. Frequent blood glucose (BG) checks and multiple daily insulin injections have become standard of care in Type 1 diabetes (T1DM) management. Continuous glucose monitors (CGM) allow patients to observe and discern trends in their glycemic control. These devices improve quality of life for parents and caregivers with preset alerts for hypoglycemia. Insulin pumps have continued to improve and innovate since their emergence into the market. Hybrid closed-loop systems have harnessed the data gathered with CGM use to aid in basal insulin dosing and hypoglycemia prevention. As technology continues to progress, patients will likely have to enter less and less information into their pump system manually. In the future, we will likely see a system that requires no manual patient input and allows users to eat throughout the day without counting carbohydrates or entering in any blood sugars. As technology continues to advance, endocrinologists and diabetes providers need to stay current to better guide their patients in optimal use of emerging management tools.
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Schiel R, Bambauer R, Steveling A. Technology in Diabetes Treatment: Update and Future. Artif Organs 2018; 42:1017-1027. [PMID: 30334582 DOI: 10.1111/aor.13296] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 04/20/2018] [Accepted: 05/24/2018] [Indexed: 12/14/2022]
Abstract
Worldwide the number of people with diabetes mellitus is increasing. There are estimations that diabetes is one of the leading causes of death. The most important goals for the treatment of diabetes are self-management of the disease and an optimal quality of diabetes control. In the therapy new technologies, like real-time continuous interstitial glucose monitoring, continuous subcutaneous insulin infusion (CSII), electronic tools for the monitoring of therapeutic approaches, automated bolus calculators for insulin and electronic tools for education and information of patients, have become widespread and play important roles. All these efforts are related to the interaction between patients, caregivers, scientists or researchers and industry. The presentation of different aspects of new technological approaches in the present article should give more information about different technologies. However, because of the rather quickly appearance of new technologies, the presentation can only be a spotlight. Further studies are mandatory to analyze the effects and long-term benefits of each technology and electronic device.
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Affiliation(s)
- Ralf Schiel
- MEDIGREIF-Inselklinik Heringsdorf GmbH, Fachklinik für Kinder und Jugendliche, Ostseebad Heringsdorf, Germany
| | - Rolf Bambauer
- Formely Institute for Blood Purification, Homburg, Germany
| | - Antje Steveling
- Ernst-Moritz-Arndt-University, Internal Medicine A, Greifswald, Germany
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Danne T, Phillip M, Buckingham BA, Jarosz-Chobot P, Saboo B, Urakami T, Battelino T, Hanas R, Codner E. ISPAD Clinical Practice Consensus Guidelines 2018: Insulin treatment in children and adolescents with diabetes. Pediatr Diabetes 2018; 19 Suppl 27:115-135. [PMID: 29999222 DOI: 10.1111/pedi.12718] [Citation(s) in RCA: 123] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 07/01/2018] [Indexed: 12/15/2022] Open
Affiliation(s)
- Thomas Danne
- Kinder- und Jugendkrankenhaus AUF DER BULT, Diabetes-Zentrum für Kinder und Judendliche, Hannover, Germany
| | - 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
| | - Bruce A Buckingham
- Department of Pediatric Endocrinology, Stanford University, Stanford, California
| | | | - Banshi Saboo
- Department of Endocrinology, DiaCare - Advance Diabetes Care Center, Ahmedabad, India
| | - Tatsuhiko Urakami
- Department of Pediatrics, Nihon University School of Medicine, Tokyo, Japan
| | - Tadej Battelino
- Department Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital Ljubljana, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Ragnar Hanas
- Department of Pediatrics, NU Hospital Group, Uddevalla, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Ethel Codner
- Institute of Maternal and Child Research (IDMI), School of Medicine, University de Chile, Santiago, Chile
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Abstract
Wearable sensors are already impacting healthcare and medicine by enabling health monitoring outside of the clinic and prediction of health events. This paper reviews current and prospective wearable technologies and their progress toward clinical application. We describe technologies underlying common, commercially available wearable sensors and early-stage devices and outline research, when available, to support the use of these devices in healthcare. We cover applications in the following health areas: metabolic, cardiovascular and gastrointestinal monitoring; sleep, neurology, movement disorders and mental health; maternal, pre- and neo-natal care; and pulmonary health and environmental exposures. Finally, we discuss challenges associated with the adoption of wearable sensors in the current healthcare ecosystem and discuss areas for future research and development.
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Affiliation(s)
- Jessilyn Dunn
- Department of Genetics, Stanford University, Stanford, CA 94305, USA.,Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.,Mobilize Center, Stanford University, Stanford, CA 94305 USA
| | - Ryan Runge
- Department of Genetics, Stanford University, Stanford, CA 94305, USA.,Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.,Mobilize Center, Stanford University, Stanford, CA 94305 USA
| | - Michael Snyder
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
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17
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Vettoretti M, Cappon G, Acciaroli G, Facchinetti A, Sparacino G. Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications. J Diabetes Sci Technol 2018; 12:1064-1071. [PMID: 29783897 PMCID: PMC6134613 DOI: 10.1177/1932296818774078] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The recent announcement of the production of new low-cost continuous glucose monitoring (CGM) sensors, the approval of marketed CGM sensors for making treatment decisions, and new reimbursement criteria have the potential to revolutionize CGM use. After briefly summarizing current CGM applications, we discuss how, in our opinion, these changes are expected to extend CGM utilization beyond diabetes patients, for example, to subjects with prediabetes or even healthy individuals. We also elaborate on how the integration of CGM data with other relevant information, for example, health records and other medical device/wearable sensor data, will contribute to creating a digital data ecosystem that will improve our understanding of the etiology and complications of diabetes and will facilitate the development of data analytics for personalized diabetes management and prevention.
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Affiliation(s)
- Martina Vettoretti
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Giacomo Cappon
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Giada Acciaroli
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Andrea Facchinetti
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Giovanni Sparacino
- Department of Information Engineering, University of Padova, Padova, Italy
- Giovanni Sparacino, PhD, Department of Information Engineering University of Padova, Via G. Gradenigo 6B, Padova, 35131, Italy.
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