1
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Tornese G, Carletti C, Giangreco M, Nisticò D, Faleschini E, Barbi E. Carbohydrate Tolerance Threshold for Unannounced Snacks in Children and Adolescents With Type 1 Diabetes Using an Advanced Hybrid Closed-Loop System. Diabetes Care 2022; 45:1486-1488. [PMID: 35522033 PMCID: PMC9210515 DOI: 10.2337/dc21-2643] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/28/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To find a carbohydrate (CHO) tolerance threshold for unannounced snacks to avoid the 2 h increase in glycemia (difference between pre- and postmeal blood glucose [ΔBG]) ≥50 mg/dL in advanced hybrid closed-loop (a-HCL) users. RESEARCH DESIGN AND METHODS Fourteen children and adolescents with type 1 diabetes (7 females; mean age [± SD] 14.5 ± 3.6 years), users of the Medtronic MiniMed 780G, participated in the study. For 12 days, they did not perform insulin bolus before breakfasts, with defined different quantities and types of CHO, with or without fats, performing blood glucose (BG) before and 2 h after the meal. RESULTS A cutoff of 19.8 g of total CHO was found to determine a ΔBG of 50 mg/dL. BG never exceeded 250 mg/dL. Mean time in range was ≥70% in the 2 h following each snack. CONCLUSIONS Unannounced snacks of up to 20 g of CHO can avoid ΔBG ≥50 mg/dL in MiniMed 780G users, although unannounced meals of up to 30 g of CHO are safe.
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Affiliation(s)
- Gianluca Tornese
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo," Trieste, Italy
| | - Claudia Carletti
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo," Trieste, Italy
| | - Manuela Giangreco
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo," Trieste, Italy
| | - Daniela Nisticò
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Elena Faleschini
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo," Trieste, Italy
| | - Egidio Barbi
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo," Trieste, Italy.,Department of Medical Sciences, University of Trieste, Trieste, Italy
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2
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Pasqua MR, Tsoukas MA, Haidar A. Strategically Playing with Fire: SGLT Inhibitors as Possible Adjunct to Closed-Loop Insulin Therapy. J Diabetes Sci Technol 2021; 15:1232-1242. [PMID: 34558336 PMCID: PMC8655283 DOI: 10.1177/19322968211035411] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
As closed-loop insulin therapies emerge into clinical practice and evolve in medical research for type 1 diabetes (T1D) treatment, the limitations in these therapies become more evident. These gaps include unachieved target levels of glycated hemoglobin in some patients, postprandial hyperglycemia, the ongoing need for carbohydrate counting, and the lack of non-glycemic benefits (such as prevention of metabolic syndrome and complications). Multiple adjunct therapies have been examined to improve closed-loop systems, yet none have become a staple. Sodium-glucose-linked cotransporter inhibitors (SGLTi's) have been extensively researched in T1D, with average reductions in placebo-adjusted HbA1c by 0.39%, and total daily dose by approximately 10%. Unfortunately, many trials revealed an increased risk of diabetic ketoacidosis, as high as 5 times the relative risk compared to placebo. This narrative review discusses the proven benefits and risks of SGLTi in patients with T1D with routine therapy, what has been studied thus far in closed-loop therapy in combination with SGLTi, the potential benefits of SGLTi use to closed-loop systems, and what is required going forward to improve the benefit to risk ratio in these insulin systems.
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Affiliation(s)
- Melissa-Rosina Pasqua
- Division of Endocrinology, McGill
University Health Centre, Montreal, QC, Canada
- Melissa-Rosina Pasqua, MD, Mailing address:
McGill University Health Centre, 1001 boulevard de Décarie, Montreal, QC H4A
3J1, Canada.
| | - Michael A. Tsoukas
- Division of Endocrinology, McGill
University Health Centre, Montreal, QC, Canada
| | - Ahmad Haidar
- Department of Biomedical Engineering,
McGill University, Montreal, QC, Canada
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3
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Haidar A, Legault L, Raffray M, Gouchie-Provencher N, Jacobs PG, El-Fathi A, Rutkowski J, Messier V, Rabasa-Lhoret R. Comparison Between Closed-Loop Insulin Delivery System (the Artificial Pancreas) and Sensor-Augmented Pump Therapy: A Randomized-Controlled Crossover Trial. Diabetes Technol Ther 2021; 23:168-174. [PMID: 33050728 PMCID: PMC7906861 DOI: 10.1089/dia.2020.0365] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Objective: Several studies have shown that closed-loop automated insulin delivery (the artificial pancreas) improves glucose control compared with sensor-augmented pump therapy. We aimed to confirm these findings using our automated insulin delivery system based on the iPancreas platform. Research Design and Methods: We conducted a two-center, randomized crossover trial comparing automated insulin delivery with sensor-augmented pump therapy in 36 adults with type 1 diabetes. Each intervention lasted 12 days in outpatient free-living conditions with no remote monitoring. The automated insulin delivery system used a model predictive control algorithm that was a less aggressive version of our earlier dosing algorithm to emphasize safety. The primary outcome was time in the range 3.9-10.0 mmol/L. Results: The automated insulin delivery system was operational 90.2% of the time. Compared with the sensor-augmented pump therapy, automated insulin delivery increased time in range (3.9-10.0 mmol/L) from 61% (interquartile range 53-74) to 69% (60-73; P = 0.006) and increased time in tight target range (3.9-7.8 mmol/L) from 37% (30-49) to 45% (35-51; P = 0.011). Automated insulin delivery also reduced time spent below 3.9 and 3.3 mmol/L from 3.5% (0.8-5.4) to 1.6% (1.1-2.7; P = 0.0021) and from 0.9% (0.2-2.1) to 0.5% (0.2-1.1; P = 0.0122), respectively. Time spent below 2.8 mmol/L was 0.2% (0.0-0.6) with sensor-augmented pump therapy and 0.1% (0.0-0.4; P = 0.155) with automated insulin delivery. Conclusions: Our study confirms findings that automated insulin delivery improves glucose control compared with sensor-augmented pump therapy. ClinicalTrials.gov no. NCT02846831.
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Affiliation(s)
- Ahmad Haidar
- Department of Biomedical Engineering, McGill University, Montreal, Canada
- Centre for Translational Biology, Research Institute of McGill University Health Centre, Montréal, Canada
| | - Laurent Legault
- Department of Pediatrics, Division of Endocrinology and Metabolism, McGill University Health Centre, Montréal, Canada
- Centre for Outcomes Research and Evaluation, Research Institute of McGill University Health Centre, Montréal, Canada
| | - Marie Raffray
- Metabolic Diseases Research Unit, Institut de recherches cliniques de Montréal, Montréal, Canada
| | - Nikita Gouchie-Provencher
- Centre for Translational Biology, Research Institute of McGill University Health Centre, Montréal, Canada
| | - Peter G. Jacobs
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon, USA
| | - Anas El-Fathi
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Joanna Rutkowski
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Virginie Messier
- Metabolic Diseases Research Unit, Institut de recherches cliniques de Montréal, Montréal, Canada
| | - Rémi Rabasa-Lhoret
- Metabolic Diseases Research Unit, Institut de recherches cliniques de Montréal, Montréal, Canada
- Nutrition Department, Faculty of Medicine, Université de Montréal, Montréal, Canada
- Montreal Diabetes Research Center and Endocrinology Division, Montréal, Canada
- Address correspondence to: Rémi Rabasa-Lhoret, MD, PhD, Metabolic Diseases Research Unit, Institut de recherches cliniques de Montréal, 110, avenue des Pins Ouest, Montréal (Québec) Canada H2W 1R7
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4
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Palisaitis E, El Fathi A, Von Oettingen JE, Krishnamoorthy P, Kearney R, Jacobs P, Rutkowski J, Legault L, Haidar A. The Efficacy of Basal Rate and Carbohydrate Ratio Learning Algorithm for Closed-Loop Insulin Delivery (Artificial Pancreas) in Youth with Type 1 Diabetes in a Diabetes Camp. Diabetes Technol Ther 2020; 22:185-194. [PMID: 31596127 DOI: 10.1089/dia.2019.0270] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background: Optimizing programmed basal rates and carbohydrate ratios may improve the performance of the artificial pancreas. We tested, in a diabetes camp, the efficacy of a learning algorithm that updates daily basal rates and carbohydrate ratios in the artificial pancreas. Materials and Methods: We conducted a randomized crossover trial in campers and counselors aged 8-21 years with type 1 diabetes on pump therapy. Participants underwent 2 days of artificial pancreas alone and 6 days of artificial pancreas with learning. During the artificial pancreas with learning, programmed basal rates and carbohydrate ratios were updated daily based on the learning algorithm's recommendations. All algorithm recommendations were reviewed for safety by camp physicians. The primary outcome was the time in target range (3.9-10 mmol/L) of the last 2 days of each intervention. Results: Thirty-four campers (age 13.9 ± 3.9, hemoglobin A1c 8.3% ± 0.2%) were included. Ninety-six percent of algorithm recommendations were approved by the camp physicians. Participants were in closed-loop mode 74% of the time. There was no difference between interventions in time in target (55%-55%; P = 0.71) nor in hypoglycemia events (0.8-0.9 events per day; P = 0.63). This was despite changes in programmed basal rate ranging from -21% to +117%, and changes in breakfast, lunch, and supper carbohydrate ratios from -17% to +40%, -36% to +37%, and -35% to +63%, respectively. Morever, postprandial hyperglycemia and hypoglycemia did not decrease in participants whose carbohydrate ratios were decreased (more insulin boluses) and increased (less insulin boluses), respectively. Conclusions: In camp settings, despite adjustments to programmed basal rates and carbohydrate ratios, the learning algorithm did not change glycemia, which may point toward limited effect of these adjustments in environments with large day-to-day variability in insulin needs. Longer randomized studies in real-world settings are required to further assess the efficacy of automatic adjustments of programmed basal rates and carbohydrate ratios.
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Affiliation(s)
- Emilie Palisaitis
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Anas El Fathi
- Department of Electrical and Computer Engineering, Faculty of Engineering, McGill University, Montreal, Canada
| | - Julia E Von Oettingen
- Department of Pediatric Endocrinology, McGill University Health Centre, Montreal Children's Hospital, Montreal, Canada
- The Research Institute of McGill University Health Centre, Montreal, Canada
| | - Preetha Krishnamoorthy
- Department of Pediatric Endocrinology, McGill University Health Centre, Montreal Children's Hospital, Montreal, Canada
| | - Robert Kearney
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Peter Jacobs
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon
| | - Joanna Rutkowski
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Laurent Legault
- Department of Pediatric Endocrinology, McGill University Health Centre, Montreal Children's Hospital, Montreal, Canada
- The Research Institute of McGill University Health Centre, Montreal, Canada
| | - Ahmad Haidar
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
- The Research Institute of McGill University Health Centre, Montreal, Canada
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5
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Serfling G, Kalscheuer H, Schmid SM, Lehnert H. Neue Technologien in der Diabetestherapie. Internist (Berl) 2019; 60:912-916. [DOI: 10.1007/s00108-019-0654-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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6
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Abstract
PURPOSE OF REVIEW To emphasize the current unmet needs for patients with diabetes and evaluate the recent technological advances in the diabetes field and summarize upcoming technologies in diabetes care. This review highlights emerging diabetes technologies and patient-centered diabetes management. RECENT FINDINGS A review of the literature showed that there is a clear benefit of using diabetes technologies in diabetes care. Recently, the US Food and Drug Administration (FDA) created a new category of Class II integrated continuous glucose monitoring (iCGM) devices and announced new guidelines to accelerate the approval of future products. With the first-generation hybrid-closed loop, a new era opened in automated insulin delivery systems. Diabetes coaching, apps, and remote monitoring technologies eased access to the providers and increased patient's self-confidence for diabetes management. SUMMARY Improvements in diabetes technologies will hopefully overcome unmet needs for patients with diabetes and improve health outcomes. Patients will benefit from the upcoming technologies in their day-to-day diabetes management while providers may monitor patients remotely with ease and efficiently. These developments will decrease diabetes burden, improve quality of life, and open a new era of personalized diabetes care.
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Affiliation(s)
- Halis Kaan Akturk
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Satish Garg
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus
- University of Colorado School of Medicine, Aurora, Colorado, USA
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7
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Sánchez-Peña R, Colmegna P, Garelli F, De Battista H, García-Violini D, Moscoso-Vásquez M, Rosales N, Fushimi E, Campos-Náñez E, Breton M, Beruto V, Scibona P, Rodriguez C, Giunta J, Simonovich V, Belloso WH, Cherñavvsky D, Grosembacher L. Artificial Pancreas: Clinical Study in Latin America Without Premeal Insulin Boluses. J Diabetes Sci Technol 2018; 12:914-925. [PMID: 29998754 PMCID: PMC6134619 DOI: 10.1177/1932296818786488] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Emerging therapies such as closed-loop (CL) glucose control, also known as artificial pancreas (AP) systems, have shown significant improvement in type 1 diabetes mellitus (T1DM) management. However, demanding patient intervention is still required, particularly at meal times. To reduce treatment burden, the automatic regulation of glucose (ARG) algorithm mitigates postprandial glucose excursions without feedforward insulin boluses. This work assesses feasibility of this new strategy in a clinical trial. METHODS A 36-hour pilot study was performed on five T1DM subjects to validate the ARG algorithm. Subjects wore a subcutaneous continuous glucose monitor (CGM) and an insulin pump. Insulin delivery was solely commanded by the ARG algorithm, without premeal insulin boluses. This was the first clinical trial in Latin America to validate an AP controller. RESULTS For the total 36-hour period, results were as follows: average time of CGM readings in range 70-250 mg/dl: 88.6%, in range 70-180 mg/dl: 74.7%, <70 mg/dl: 5.8%, and <50 mg/dl: 0.8%. Results improved analyzing the final 15-hour period of this trial. In that case, the time spent in range was 70-250 mg/dl: 94.7%, in range 70-180 mg/dl: 82.6%, <70 mg/dl: 4.1%, and <50 mg/dl: 0.2%. During the last night the time spent in range was 70-250 mg/dl: 95%, in range 70-180 mg/dl: 87.7%, <70 mg/dl: 5.0%, and <50 mg/dl: 0.0%. No severe hypoglycemia occurred. No serious adverse events were reported. CONCLUSIONS The ARG algorithm was successfully validated in a pilot clinical trial, encouraging further tests with a larger number of patients and in outpatient settings.
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Affiliation(s)
- Ricardo Sánchez-Peña
- Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina
- National Scientific and Technical Research Council, Buenos Aires, Argentina
- Ricardo Sánchez-Peña, PhD, National Scientific and Technical Research Council (CONICET), Instituto Tecnológico de Buenos Aires (ITBA), Av Madero 399, Buenos Aires, C1106ACD, Argentina.
| | - Patricio Colmegna
- National Scientific and Technical Research Council, Buenos Aires, Argentina
- University of Virginia, Charlottesville, VA, USA
- Universidad Nacional de Quilmes, Bernal, Buenos Aires, Argentina
| | - Fabricio Garelli
- National Scientific and Technical Research Council, Buenos Aires, Argentina
- Universidad Nacional de La Plata, La Plata, Buenos Aires Argentina
| | - Hernán De Battista
- National Scientific and Technical Research Council, Buenos Aires, Argentina
- Universidad Nacional de La Plata, La Plata, Buenos Aires Argentina
| | - Demián García-Violini
- Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina
- National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Marcela Moscoso-Vásquez
- Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina
- National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Nicolás Rosales
- Universidad Nacional de La Plata, La Plata, Buenos Aires Argentina
| | - Emilia Fushimi
- National Scientific and Technical Research Council, Buenos Aires, Argentina
- Universidad Nacional de La Plata, La Plata, Buenos Aires Argentina
| | | | - Marc Breton
- University of Virginia, Charlottesville, VA, USA
| | - Valeria Beruto
- Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Paula Scibona
- Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | | | - Javier Giunta
- Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
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8
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9
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Gingras V, Smaoui MR, Cameli C, Messier V, Ladouceur M, Legault L, Rabasa-Lhoret R. Impact of erroneous meal insulin bolus with dual-hormone artificial pancreas using a simplified bolus strategy - A randomized controlled trial. Sci Rep 2018; 8:2621. [PMID: 29422651 PMCID: PMC5805693 DOI: 10.1038/s41598-018-20785-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 01/22/2018] [Indexed: 01/12/2023] Open
Abstract
Postprandial glucose control remains challenging for patients with type 1 diabetes (T1D). A simplified meal bolus approach with a dual-hormone (insulin and glucagon) closed-loop system (DH-CLS) has been tested; yet, the impact of categorization errors with this strategy is unknown. The objective was to compare, in a randomized controlled inpatient trial, DH-CLS with the simplified meal bolus approach for two different meals properly categorized or overestimated. We tested, in patients with T1D, the simplified strategy with two standardized breakfasts (n = 10 per meal) adequately categorized or overestimated: (1) 75 g and (2) 45 g of carbohydrate. No difference was observed for percentage of time <4.0 mmol/L over a 4-hour post-meal period (primary outcome; median [IQR]: 0[0-0] vs. 0[0-0] for both comparisons, p = 0.47 and 0.31 for the 75 g and 45 g meals, respectively). Despite higher meal insulin boluses with overestimation for both meals (9.2 [8.2-9.6] vs. 8.1 [7.3-9.1] U and 8.4 [7.2-10.4] vs. 4.8 [3.7-5.6] U; p < 0.05), mean glycemia, percentage of time in target range and glucagon infusion did not differ. Additional scenarios were tested in silico with comparable results. These results suggest that the DH-CLS with a simplified meal bolus calculation is probably able to avoid hypoglycemia in the event of meal size misclassification.
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Affiliation(s)
- Véronique Gingras
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
- Department of nutrition, Université de Montréal, Montreal, Quebec, Canada
| | - Mohamed Raef Smaoui
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
- Department of nutrition, Université de Montréal, Montreal, Quebec, Canada
| | - Charlotte Cameli
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
- Université de Rennes 1, Rennes, France
| | - Virginie Messier
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
| | - Martin Ladouceur
- Research Center of the Université de Montréal Hospital Center (CRCHUM), Montreal, Quebec, Canada
| | - Laurent Legault
- Montreal Children's Hospital, McGill University Health Center, Montreal, Quebec, Canada
| | - Rémi Rabasa-Lhoret
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada.
- Department of nutrition, Université de Montréal, Montreal, Quebec, Canada.
- Université de Rennes 1, Rennes, France.
- Montreal Diabetes Research Center (MDRC), Montreal, Quebec, Canada.
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10
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Gingras V, Taleb N, Roy-Fleming A, Legault L, Rabasa-Lhoret R. The challenges of achieving postprandial glucose control using closed-loop systems in patients with type 1 diabetes. Diabetes Obes Metab 2018; 20:245-256. [PMID: 28675686 PMCID: PMC5810921 DOI: 10.1111/dom.13052] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 06/27/2017] [Accepted: 06/29/2017] [Indexed: 01/17/2023]
Abstract
For patients with type 1 diabetes, closed-loop delivery systems (CLS) combining an insulin pump, a glucose sensor and a dosing algorithm allowing a dynamic hormonal infusion have been shown to improve glucose control when compared with conventional therapy. Yet, reducing glucose excursion and simplification of prandial insulin doses remain a challenge. The objective of this literature review is to examine current meal-time strategies in the context of automated delivery systems in adults and children with type 1 diabetes. Current challenges and considerations for post-meal glucose control will also be discussed. Despite promising results with meal detection, the fully automated CLS has yet failed to provide comparable glucose control to CLS with carbohydrate-matched bolus in the post-meal period. The latter strategy has been efficient in controlling post-meal glucose using different algorithms and in various settings, but at the cost of a meal carbohydrate counting burden for patients. Further improvements in meal detection algorithms or simplified meal-priming boluses may represent interesting avenues. The greatest challenges remain in regards to the pharmacokinetic and dynamic profiles of available rapid insulins as well as sensor accuracy and lag-time. New and upcoming faster acting insulins could provide important benefits. Multi-hormone CLS (eg, dual-hormone combining insulin with glucagon or pramlintide) and adjunctive therapy (eg, GLP-1 and SGLT2 inhibitors) also represent promising options. Meal glucose control with the artificial pancreas remains an important challenge for which the optimal strategy is still to be determined.
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Affiliation(s)
- Véronique Gingras
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
- Department of nutrition, Université de Montréal, Montreal, Quebec, Canada
| | - Nadine Taleb
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
- Department of biomedical sciences, Université de Montréal, Montreal, Quebec, Canada
| | - Amélie Roy-Fleming
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
- Department of nutrition, Université de Montréal, Montreal, Quebec, Canada
| | - Laurent Legault
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
- Montreal Children’s Hospital, McGill University Health Center, Montreal, Quebec, Canada
| | - Rémi Rabasa-Lhoret
- Institut de Recherches Cliniques de Montréal, Montreal, Quebec, Canada
- Department of nutrition, Université de Montréal, Montreal, Quebec, Canada
- Montreal Diabetes Research Center (MDRC), Montreal, Quebec, Canada
- Research Center of the Université de Montréal Hospital Center (CRCHUM), Montreal, Quebec, Canada
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11
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Bertachi A, Ramkissoon CM, Bondia J, Vehí J. Automated blood glucose control in type 1 diabetes: A review of progress and challenges. ACTA ACUST UNITED AC 2017; 65:172-181. [PMID: 29279252 DOI: 10.1016/j.endinu.2017.10.011] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 10/11/2017] [Accepted: 10/21/2017] [Indexed: 12/27/2022]
Abstract
Since the 2000s, research teams worldwide have been working to develop closed-loop (CL) systems able to automatically control blood glucose (BG) levels in patients with type 1 diabetes. This emerging technology is known as artificial pancreas (AP), and its first commercial version just arrived in the market. The main objective of this paper is to present an extensive review of the clinical trials conducted since 2011, which tested various implementations of the AP for different durations under varying conditions. A comprehensive table that contains key information from the selected publications is provided, and the main challenges in AP development and the mitigation strategies used are discussed. The development timelines for different AP systems are also included, highlighting the main evolutions over the clinical trials for each system.
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Affiliation(s)
- Arthur Bertachi
- Institute of Informatics and Applications, University of Girona, Campus de Montilivi, s/n, Edifici P4, 17071 Girona, Spain; Federal University of Technology - Paraná (UTFPR), Guarapuava, Avenida Professora Laura Pacheco Bastos 800, 85053-525 Guarapuava, Paraná, Brazil
| | - Charrise M Ramkissoon
- Institute of Informatics and Applications, University of Girona, Campus de Montilivi, s/n, Edifici P4, 17071 Girona, Spain
| | - Jorge Bondia
- Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, Camino de Vera, s/n, Edificio 8G, 46022 Valencia, Spain
| | - Josep Vehí
- Institute of Informatics and Applications, University of Girona, Campus de Montilivi, s/n, Edifici P4, 17071 Girona, Spain.
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12
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Fortin A, Rabasa-Lhoret R, Roy-Fleming A, Desjardins K, Brazeau AS, Ladouceur M, Gingras V. Practices, perceptions and expectations for carbohydrate counting in patients with type 1 diabetes - Results from an online survey. Diabetes Res Clin Pract 2017; 126:214-221. [PMID: 28273644 DOI: 10.1016/j.diabres.2017.02.022] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 01/23/2017] [Accepted: 02/14/2017] [Indexed: 01/18/2023]
Abstract
AIMS Characterize adult patients with diabetes on intensive insulin therapy in terms of: (a) practices and perceived difficulties relative to carbohydrate counting (CC) and diabetes treatment, and (b) their perceptions and expectations relative to CC. METHODS Participants completed a 30-question web-based questionnaire. RESULTS Participants with type 1 diabetes (T1D) and using CC as part of their treatment plan (n=180) were included in this analysis. Participants were predominantly women (64%), aged 42±13years old and had diabetes for 22±13years. A large proportion of participants reported being confident in applying CC (78%) and considered precise CC as being important for glycemic control (91%), while only 17% reported finding CC difficult. Despite the low perceived difficulty associated with CC, many specific difficulties were encountered by patients such as the perception that glycemia fluctuates even with appropriate CC and that CC complicates the management of diabetes. A larger proportion of participants with a lower level of education (<university degree) and current or history of depression reported not feeling confident in applying CC. Most respondents believed that new technologies could facilitate CC (57%) and would be interested in such technology (62%). CONCLUSIONS Although a majority of participant reported being confident in applying CC, many difficulties and constraints associated with CC have been identified. These results highlight that patients with a lower level of education and with a history or current depression could benefit from specific CC education strategies. Future studies should examine the efficacy of technology tools to facilitate CC.
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Affiliation(s)
- Andréanne Fortin
- Institut de Recherches Cliniques de Montréal, 110 Pins Avenue West, H2W 1R7 Montreal, Quebec, Canada; Department of Nutrition, University of Montréal, 2375 Chemin de la Côte-Sainte-Catherine, H3T 1A8 Montréal, Quebec, Canada
| | - Rémi Rabasa-Lhoret
- Institut de Recherches Cliniques de Montréal, 110 Pins Avenue West, H2W 1R7 Montreal, Quebec, Canada; Department of Nutrition, University of Montréal, 2375 Chemin de la Côte-Sainte-Catherine, H3T 1A8 Montréal, Quebec, Canada; Montreal Diabetes Research Center (MDRC), 900 Saint-Denis, H2X 0A9 Montreal, Quebec, Canada; Research Center of the University of Montréal Hospital Center (CRCHUM), 900 Saint-Denis, H2X 0A9 Montreal, Quebec, Canada; Division of Experimental Medicine, McGill University, 1110 Pins Avenue, H3A 1A3 Montreal, Quebec, Canada
| | - Amélie Roy-Fleming
- Institut de Recherches Cliniques de Montréal, 110 Pins Avenue West, H2W 1R7 Montreal, Quebec, Canada; Department of Nutrition, University of Montréal, 2375 Chemin de la Côte-Sainte-Catherine, H3T 1A8 Montréal, Quebec, Canada
| | - Katherine Desjardins
- Institut de Recherches Cliniques de Montréal, 110 Pins Avenue West, H2W 1R7 Montreal, Quebec, Canada
| | - Anne-Sophie Brazeau
- Division of Experimental Medicine, McGill University, 1110 Pins Avenue, H3A 1A3 Montreal, Quebec, Canada
| | - Martin Ladouceur
- Research Center of the University of Montréal Hospital Center (CRCHUM), 900 Saint-Denis, H2X 0A9 Montreal, Quebec, Canada
| | - Véronique Gingras
- Institut de Recherches Cliniques de Montréal, 110 Pins Avenue West, H2W 1R7 Montreal, Quebec, Canada; Department of Nutrition, University of Montréal, 2375 Chemin de la Côte-Sainte-Catherine, H3T 1A8 Montréal, Quebec, Canada.
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Bally L, Thabit H, Hovorka R. Role of Dual-Hormone Closed-Loop Delivery System in the Future. Diabetes Technol Ther 2016; 18:452-4. [PMID: 27500812 DOI: 10.1089/dia.2016.0259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Lia Bally
- 1 Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge , Cambridge, United Kingdom
- 2 Department of Diabetes & Endocrinology, Cambridge University Hospitals NHS Foundation Trust , Cambridge, United Kingdom
- 3 Division of Diabetes, Endocrinology, Clinical Nutrition & Metabolism, Inselspital, Bern University Hospital, University of Bern , Bern, Switzerland
| | - Hood Thabit
- 1 Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge , Cambridge, United Kingdom
- 2 Department of Diabetes & Endocrinology, Cambridge University Hospitals NHS Foundation Trust , Cambridge, United Kingdom
| | - Roman Hovorka
- 1 Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge , Cambridge, United Kingdom
- 4 Department of Paediatrics, University of Cambridge , Cambridge, United Kingdom
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