101
|
Lachal S, Tourki Y, Franc S, Huneker E, Charpentier G, Benhamou PY. Hybrid Closed-Loop Control with Ultrarapid Lispro Compared with Standard Insulin Aspart and Faster Insulin Aspart: An In Silico Study. J Diabetes Sci Technol 2023; 17:176-185. [PMID: 34658265 PMCID: PMC9846416 DOI: 10.1177/19322968211046021] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
OBJECTIVE There is room for improvement in the performance of closed-loop regulation algorithms during the prandial period. This in silico study evaluated the efficiency and safety of ultrarapid lispro insulin using the Diabeloop DBLG1® algorithm. METHODS We modeled the insulin profile of URLi according to literature data and integrated it to the model used within a simulation platform built from a 60 patients' virtual cohort. We then ran the DBLG1® algorithm in silico with various meal intakes using modeled URLi, Aspart and Faster Aspart. The primary endpoints were glucose metrics (time in 70-180 mg/dL range and time below range). RESULTS When insulin time constant values were tuned, time in 70-180 mg/dL range was 69.4 [61.1-75.6] (Aspart) vs 74.7 [65.5-81.5] (URLi). Glucose coefficient of variation was reduced from 34.1 [29.7-37.8] to 28.4 [25.7-34.6]. Time below 70 mg/dL and 54 mg/dL were significantly reduced with URLi, whether or not DBLG1 was specifically tuned to this insulin. Metrics with Faster Aspart were intermediate and did not significantly differ from URLi. CONCLUSIONS This simulation study performed on a virtual T1D population suggests that the use of URLi within an unmodified closed-loop DBLG1 regulation algorithm is safe and, with DBLG1 being tuned to this specific insulin type, improved the regulation performances as compared with Aspart. This fact supports the use of such an insulin in clinical investigations.
Collapse
Affiliation(s)
- Sylvain Lachal
- Diabeloop SA, HQ 155-157 cours Berriat,
Grenoble, France
| | - Yousra Tourki
- Diabeloop SA, HQ 155-157 cours Berriat,
Grenoble, France
| | - Sylvia Franc
- CERITD (Center for Study and Research
for Improvement of the Treatment of Diabetes), Bioparc-Genopole Evry-Corbeil, Evry,
France
| | - Erik Huneker
- Diabeloop SA, HQ 155-157 cours Berriat,
Grenoble, France
| | - Guillaume Charpentier
- CERITD (Center for Study and Research
for Improvement of the Treatment of Diabetes), Bioparc-Genopole Evry-Corbeil, Evry,
France
| | - Pierre Yves Benhamou
- Department of Endocrinology, Grenoble
Alpes University Hospital; Grenoble Alpes University, INSERM U1055, LBFA, Grenoble,
France
- Pr Pierre Yves Benhamou, MD, PhD,
Department of Endocrinology, CHU, CS 10217, Grenoble, Auvergne-Rhône-Alpes
38043, France.
| |
Collapse
|
102
|
Guerci B, Roussel R, Levrat-Guillen F, Detournay B, Vicaut E, De Pouvourville G, Emery C, Riveline JP. Important Decrease in Hospitalizations for Acute Diabetes Events Following FreeStyle Libre System Initiation in People with Type 2 Diabetes on Basal Insulin Therapy in France. Diabetes Technol Ther 2023; 25:20-30. [PMID: 36094418 DOI: 10.1089/dia.2022.0271] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Aims/Hypothesis: Initiation of insulin therapy in people with type 2 diabetes (T2DM) may be necessary to achieve glycemic targets but is associated with acute diabetes events (ADEs), including severe hypoglycemia (SH) or diabetic ketoacidosis (DKA). We assessed the impact of initiating FreeStyle Libre® system (FSL) on hospitalizations for ADEs in people with T2DM on basal insulin only regimen±noninsulin antidiabetic drugs. Materials and Methods: A retrospective study of the French national Système National des Données de Santé reimbursement claims database (≈66 million French people) identified people with T2DM on basal insulin therapy receiving a first reimbursement of FSL between August 1, 2017 and December 31, 2018. Claims data for the 12 months before, and up to 24 months after FSL initiation, were analyzed. Hospitalizations for ADEs were identified, using ICD-10 codes as main or related diagnosis, for: SH events; DKA events; comas; and hyperglycemia-related admissions. Results: A total of 5933 people with T2DM on basal insulin therapy initiated FSL during the selection period. Of the patients, 78.9% were on basal insulin and other hypoglycemic agents. Among the 5933 patients identified, 2.01% had at least one hospitalization for any ADE in the year before FSL initiation, compared to 0.75% (1 year) and 0.60% (2 years). Reductions in ADEs were driven by 75% fewer DKA admissions, with a 44% reduction in SH admissions. These patterns of reduced ADEs persisted after 2 years, with a further 43% reduction in DKA rates. Conclusions/Interpretation: This study emphasizes the value of the FSL system in reducing ADEs in people with T2DM in France not on intensive insulin therapy and initially treated with basal-only insulin therapy.
Collapse
Affiliation(s)
- Bruno Guerci
- Department of Endocrinology, Diabetology, and Nutrition, Brabois Adult Hospital, University of Lorraine, Vandoeuvre-lès-Nancy, France
| | - Ronan Roussel
- Institut Necker Enfants Malades (INEM), Unité INSERM U1151 INEM, IMMEDIAB Laboratory, Paris, France
- Department of Diabetology and Endocrinology, Lariboisière Hospital, Paris, France
| | | | | | - Eric Vicaut
- Clinical Research Unit, Fernand Vidal Hospital, Paris, France
| | | | | | - Jean-Pierre Riveline
- Department of Endocrinology and Diabetology, Lariboisière Hospital, Paris, France
- Institut Necker Enfants Malades, INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory, Paris, France
| |
Collapse
|
103
|
Woodfield A, Gonzales T, Helmerhorst E, Laws S, Newsholme P, Porter T, Verdile G. Current Insights on the Use of Insulin and the Potential Use of Insulin Mimetics in Targeting Insulin Signalling in Alzheimer's Disease. Int J Mol Sci 2022; 23:ijms232415811. [PMID: 36555450 PMCID: PMC9779379 DOI: 10.3390/ijms232415811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 12/10/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022] Open
Abstract
Alzheimer's disease (AD) and type 2 diabetes (T2D) are chronic diseases that share several pathological mechanisms, including insulin resistance and impaired insulin signalling. Their shared features have prompted the evaluation of the drugs used to manage diabetes for the treatment of AD. Insulin delivery itself has been utilized, with promising effects, in improving cognition and reducing AD related neuropathology. The most recent clinical trial involving intranasal insulin reported no slowing of cognitive decline; however, several factors may have impacted the trial outcomes. Long-acting and rapid-acting insulin analogues have also been evaluated within the context of AD with a lack of consistent outcomes. This narrative review provided insight into how targeting insulin signalling in the brain has potential as a therapeutic target for AD and provided a detailed update on the efficacy of insulin, its analogues and the outcomes of human clinical trials. We also discussed the current evidence that warrants the further investigation of the use of the mimetics of insulin for AD. These small molecules may provide a modifiable alternative to insulin, aiding in developing drugs that selectively target insulin signalling in the brain with the aim to attenuate cognitive dysfunction and AD pathologies.
Collapse
Affiliation(s)
- Amy Woodfield
- Curtin Medical School, Curtin University, Bentley 6102, Australia
- Curtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia
| | - Tatiana Gonzales
- Curtin Medical School, Curtin University, Bentley 6102, Australia
| | - Erik Helmerhorst
- Curtin Medical School, Curtin University, Bentley 6102, Australia
- Curtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia
| | - Simon Laws
- Curtin Medical School, Curtin University, Bentley 6102, Australia
- Centre for Precision Health, Edith Cowan University, Joondalup 6027, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup 6027, Australia
| | - Philip Newsholme
- Curtin Medical School, Curtin University, Bentley 6102, Australia
- Curtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia
| | - Tenielle Porter
- Curtin Medical School, Curtin University, Bentley 6102, Australia
- Centre for Precision Health, Edith Cowan University, Joondalup 6027, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup 6027, Australia
| | - Giuseppe Verdile
- Curtin Medical School, Curtin University, Bentley 6102, Australia
- Curtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup 6027, Australia
- Correspondence: ; Tel.: +61-8-9266 5618
| |
Collapse
|
104
|
Morrison D, Paldus B, Zaharieva DP, Lee MH, Vogrin S, Jenkins AJ, Gerche AL, MacIsaac RJ, McAuley SA, Ward GM, Colman PG, Smart CEM, Seckold R, Grosman B, Roy A, King BR, Riddell MC, O'Neal DN. Late Afternoon Vigorous Exercise Increases Postmeal but Not Overnight Hypoglycemia in Adults with Type 1 Diabetes Managed with Automated Insulin Delivery. Diabetes Technol Ther 2022; 24:873-880. [PMID: 36094458 DOI: 10.1089/dia.2022.0279] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Aim: To compare evening and overnight hypoglycemia risk after late afternoon exercise with a nonexercise control day in adults with type 1 diabetes using automated insulin delivery (AID). Methods: Thirty adults with type 1 diabetes using AID (Minimed 670G) performed in random order 40 min high intensity interval aerobic exercise (HIE), resistance (RE), and moderate intensity aerobic exercise (MIE) exercise each separated by >1 week. The closed-loop set-point was temporarily increased 2 h pre-exercise and a snack eaten if plasma glucose was ≤126 mg/dL pre-exercise. Exercise commenced at ∼16:00. A standardized meal was eaten at ∼20:40. Hypoglycemic events were defined as a continuous glucose monitor (CGM) reading <70 mg/dL for ≥15 min. Four-hour postevening meal and overnight (00:00-06:00) CGM metrics for exercise were compared with the prior nonexercise day. Results: There was no severe hypoglycemia. Between 00:00 and 06:00, the proportion of nights with hypoglycemia did not differ postexercise versus control for HIE (18% vs. 11%; P = 0.688), RE (4% vs. 14%; P = 0.375), and MIE (7% vs. 14%; P = 0.625). Time in range (TIR) (70-180 mg/dL), >75% for all nights, did not differ between exercise conditions and control. Hypoglycemia episodes postmeal after exercise versus control did not differ for HIE (22% vs. 7%; P = 0.219) and MIE (10% vs. 14%; P > 0.999), but were greater post-RE (39% vs. 10%; P = 0.012). Conclusions: Overnight TIR was excellent with AID without increased hypoglycemia postexercise between 00:00 and 06:00 compared with nonexercise days. In contrast, hypoglycemia risk was increased after the first meal post-RE, suggesting the importance of greater vigilance and specific guidelines for meal-time dosing, particularly with vigorous RE. ACTRN12618000905268.
Collapse
Affiliation(s)
- Dale Morrison
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Barbora Paldus
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Australia
| | - Dessi P Zaharieva
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, Canada
| | - Melissa H Lee
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Australia
| | - Sara Vogrin
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Alicia J Jenkins
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Australia
- NHMRC Clinical Trials Centre, University of Sydney, Sydney
| | - André La Gerche
- Department of Cardiology, St Vincent's Hospital Melbourne, Melbourne, Australia
- Clinical Research Domain, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Richard J MacIsaac
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Australia
- Australian Centre for Accelerating Diabetes Innovations, University of Melbourne, Melbourne, Australia
| | - Sybil A McAuley
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Australia
| | - Glenn M Ward
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Peter G Colman
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, Australia
| | - Carmel E M Smart
- Department of Endocrinology, John Hunter Children's Hospital, Newcastle, Australia
- Department of Endocrinology, Hunter Medical Research Institute, Newcastle, Australia
| | - Rowen Seckold
- Department of Endocrinology, John Hunter Children's Hospital, Newcastle, Australia
- Department of Endocrinology, Hunter Medical Research Institute, Newcastle, Australia
| | | | | | - Bruce R King
- Department of Endocrinology, John Hunter Children's Hospital, Newcastle, Australia
- Department of Endocrinology, Hunter Medical Research Institute, Newcastle, Australia
| | - Michael C Riddell
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, Canada
| | - David Norman O'Neal
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Australia
- Australian Centre for Accelerating Diabetes Innovations, University of Melbourne, Melbourne, Australia
| |
Collapse
|
105
|
Liu Q, Wang Z, Cao J, Dong Y, Chen Y. The Role of Insulin Signaling in Hippocampal-Related Diseases: A Focus on Alzheimer's Disease. Int J Mol Sci 2022; 23:ijms232214417. [PMID: 36430894 PMCID: PMC9699017 DOI: 10.3390/ijms232214417] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/09/2022] [Accepted: 11/15/2022] [Indexed: 11/22/2022] Open
Abstract
Alzheimer's disease (AD) is a global concern and has become a major public health event affecting human health. Insulin is a metabolic hormone secreted mainly by the peripheral tissue pancreas. In recent years, more and more evidence has proved that insulin regulates various functions of the brain. The hippocampus, one of the earliest brain regions affected by AD, is widely distributed with insulin receptors. Studies have shown that type 2 diabetes mellitus, characterized by insulin resistance, is closely related to AD, which has drawn extensive attention to the relationship between hippocampal insulin signaling and AD. Therefore, we provide an overview of intranasal insulin administration on memory and its underlying mechanism. We also highlight the molecular link between hippocampal insulin resistance and AD and provide a theoretical basis for finding new therapeutic targets for AD in clinical practice.
Collapse
Affiliation(s)
| | | | | | | | - Yaoxing Chen
- Correspondence: ; Tel.: +86-10-6273-3778; Fax: +86-10-6273-3199
| |
Collapse
|
106
|
Diaz C JL, Fabris C, Breton MD, Cengiz E. Insulin Replacement Across the Menstrual Cycle in Women with Type 1 Diabetes: An In Silico Assessment of the Need for Ad Hoc Technology. Diabetes Technol Ther 2022; 24:832-841. [PMID: 35714349 DOI: 10.1089/dia.2022.0154] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Background: Women with type 1 diabetes (T1D) of fertile age may experience fluctuations in insulin needs across the menstrual cycle. When present, these fluctuations complicate glucose management and oftentimes worsen glycemic control. In this work, an in silico analysis was conducted to assess whether current technology is sufficient to handle changes in insulin needs due to the menstrual cycle in women with T1D. Methods: Euglycemic clamp studies were performed in 16 women with T1D in the follicular phase (FP) and luteal phase (LP) of the menstrual cycle. Interphase insulin sensitivity (IS) variability observed in the data was modeled and introduced in the University of Virginia/Padova T1D Simulator. Open-loop and closed-loop insulin delivery was tested in two in silico studies, without (nominal study) and with (informed study) a priori knowledge on cycle-related IS variability informing insulin therapy. Glycemic metrics were computed on the obtained glucose traces. Results: In the pool of studied women, the glucose infusion rate area under the curve significantly decreased from FP to LP (P = 0.0107), indicating an average decrease of IS in LP. When introduced in the simulator, this pattern led to increased time spent >180 and >250 mg/dL during LP versus FP in the nominal studies, irrespective of the insulin delivery strategy. In the informed studies, glycemic metrics stabilized across the cycle. Conclusion: This work suggests that current insulin delivery technology may benefit from informing the dosing algorithm with knowledge on menstrual cycle related IS changes. Clinical validation of these results is warranted. ClinicalTrials.gov identifier: NCT02693938.
Collapse
Affiliation(s)
- Jenny L Diaz C
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Chiara Fabris
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Marc D Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Eda Cengiz
- Division of Pediatric Endocrinology, University of California San Francisco, San Francisco, California, USA
| |
Collapse
|
107
|
Powell M, Clark C, Alyakin A, Vogelstein JT, Hart B. Exploration of Residual Confounding in Analyses of Associations of Metformin Use and Outcomes in Adults With Type 2 Diabetes. JAMA Netw Open 2022; 5:e2241505. [PMID: 36367726 PMCID: PMC9652760 DOI: 10.1001/jamanetworkopen.2022.41505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
IMPORTANCE Metformin is often used as a first-line therapy for type 2 diabetes; however, frequent discontinuation with reduced kidney function and increased disease severity indicates that a comparison with any other group (eg, nonusers or insulin users) must address significant residual confounding concerns. OBJECTIVES To examine the potential for residual confounding in a commonly used observational study design applied to metformin and to propose a more robust study design for future observational studies of metformin. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study with a prevalent user design was conducted using an administrative claims database for Medicare Advantage beneficiaries in the US. Participants were categorized into 2 distinct cohorts: 404 458 individuals with type 2 diabetes and 81 791 individuals with prediabetes. Clinical history was observed in 2018, and end points were observed in 2019. Statistical analyses were conducted between May and December 2021. EXPOSURES Prevalent use (recent prescription and history of use on at least 90 of the preceding 365 days) of metformin or insulin but not both at the start of the observation period. MAIN OUTCOMES AND MEASURES Total inpatient admission days in 2019 and total medical spending (excluding prescription drugs) in 2019. Each of these measures was treated as a binary outcome (0 vs >0 inpatient days and top 10% vs bottom 90% of medical spending). RESULTS The study included 404 458 adults with type 2 diabetes (mean [SD] age, 74.5 [7.5] years; 52.7% female). A strong metformin effect estimate was associated with reduced inpatient admissions (odds ratio, 0.60; 95% CI, 0.58-0.62) and reduced medical expenditures (odds ratio, 0.57; 95% CI, 0.55-0.60). However, implementation of additional robust design features (negative control outcomes and a complementary cohort) revealed that the estimated beneficial effect was attributable to residual confounding associated with individuals' overall health, not metformin itself. CONCLUSIONS AND RELEVANCE These findings suggest that common observational study designs for studies of metformin in a type 2 diabetes population are at risk for consequential residual confounding. By performing 2 additional validation checks, the study design proposed here exposes residual confounding that nullifies the initially favorable claim derived from a common study design.
Collapse
Affiliation(s)
- Mike Powell
- Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland
| | | | - Anton Alyakin
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland
| | - Joshua T. Vogelstein
- Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health at Johns Hopkins University, Baltimore, Maryland
| | | |
Collapse
|
108
|
Jervis M, Mitchell AP, Islam N, Mustafa OG, Kelly PA, Whyte MB. GLP-1 receptor agonist use during hospitalisation: Better glycaemic control compared to premixed insulin. Diabetes Metab Res Rev 2022; 38:e3574. [PMID: 36052434 DOI: 10.1002/dmrr.3574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 06/20/2022] [Accepted: 06/28/2022] [Indexed: 11/09/2022]
Abstract
INTRODUCTION Glycaemic control associates with better outcomes for hospitalised patients. Whether GLP-1 receptor agonists (GLP-1 RA) are suitable and effective drugs for inpatients is unclear. METHODS A retrospective, single centre, observational study using data from the electronic health record. Patients admitted using GLP-1 RA as outpatients, from 2016 to 2019, were identified. Outcomes were compared to those admitted using twice-daily (BD) mixed insulin. Capillary glucose, medication use, creatinine, and demographic data were collected. As drugs may be discontinued/not administered in hospital, days when GLP-1 RA was administered were 'GLP-1 RA active' and, for insulin, 'insulin active'. The primary comparison was rate of hypoglycaemia (<4 mmol/L) and severe hypoglycaemia (<3 mmol/L). A logistic regression model examined variables for hypoglycaemia. RESULTS GLP-1 RA comprised n = 262 admissions and BD insulin n = 166. The 'insulin active' cohort (n = 957 patient days) had higher risk of hypoglycaemia than 'GLP-1 RA active' (n = 806 days); occurring on 14.7% of days; 95% confidence interval [CI] 12.6-17.1 versus 9.9% days; 95% CI 8.0-12.2; p = 0.002, and severe hypoglycaemia 4.0% of days (95% CI 2.8-5.4) versus 2.0% (95% CI 1.1%-3.2%; p = 0.005). Daily glucose (mean ± standard deviation) was 10.8 ± 5.2 mmol/L in insulin active versus 9.6 ± 4.7 mmol/L in GLP-1 RA active; p < 0.001. Insulin use, age, and acute admissions predicted hypoglycaemia. The odds ratio for hypoglycaemia was 2.15 times greater (95% CI, 1.14-4.08; p = 0.019) with insulin than with GLP-1 RA. CONCLUSIONS GLP-1 RA provided better glycaemic control than BD mixed insulin and should be continued during hospitalisation unless there is a clear indication for cessation.
Collapse
Affiliation(s)
- Morgan Jervis
- Faculty of Life Sciences & Medicine, King's College London, London, UK
| | | | - Nafseen Islam
- Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Omar G Mustafa
- Faculty of Life Sciences & Medicine, King's College London, London, UK
- Department of Diabetes, King's College Hospital NHS Foundation Trust, London, UK
- Department of Medicine, King's College Hospital NHS Foundation Trust, London, UK
| | - Philip A Kelly
- Department of Medicine, King's College Hospital NHS Foundation Trust, London, UK
| | - Martin B Whyte
- Department of Diabetes, King's College Hospital NHS Foundation Trust, London, UK
- Department of Medicine, King's College Hospital NHS Foundation Trust, London, UK
- Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK
| |
Collapse
|
109
|
Zolla L. On the Need to Distinguish between Insulin-Normal and Insulin-Resistant Patients in Testosterone Therapy. Int J Mol Sci 2022; 23:ijms232112730. [PMID: 36361519 PMCID: PMC9657366 DOI: 10.3390/ijms232112730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/12/2022] [Accepted: 10/20/2022] [Indexed: 11/07/2022] Open
Abstract
Male hypogonadism is a disorder characterized by low levels of the hormone testosterone and patients may also have insulin sensitivity (IS) or insulin resistance (IR), such that they show different clinical complications and different metabolic pathways. In this review, we compare metabonomic differences observed between these two groups before and after testosterone therapy (TRT) in order to obtain information on whether the two hormones testosterone and insulin are synergistic or antagonistic. IS hypogonadism uses glucose as the main biofuel, while IR activates gluconeogenesis by the degradation of branched-chain amino acids. The Krebs (TCA) cycle is active in IS but connected with glutaminolysis, while in IR the TCA cycle stops at citrate, which is used for lipogenesis. In both cases, the utilization of fatty acids for energy (β-oxidation) is hampered by lower amounts of acetylcarnitine, although it is favored by the absence of insulin in IR. Increased free fatty acids (FFAs) are free in the blood in IS, while they are partially incorporated in triglycerides in IR. Thus, upon TRT, the utilization of glucose is increased more in IS than in IR, revealing that in IR there is a switch from preferential glucose oxidation to lipid oxidation. However, in both cases, a high production of lactate and acetyl-CoA is the final result, with these levels being much higher in IR. Lactate is used in IS in the glucose–lactate cycle between the liver and muscle to produce energy, while in IR lactate and acetyl-CoA are biotransformed into ketone bodies, resulting in ketonuria. In conclusion, the restoration of testosterone values in hypogonadism gives better results in IS than in IR patients: in IS, TRT restores most of the metabolic pathways, while in IR TRT impairs insulin, and when insulin is inactive TRT activates an ancestral molecular mechanism to produce energy. This evidence supports the hypothesis that, over time, hypogonadism switches from IS to IR, and in the latter case most of the insulin-related metabolisms are not reactivated, at least within 60 days of TRT. However, testosterone therapy in both IS and IR might be of benefit given supplementation with metabolites that are not completely restored upon TRT, in order to help restore physiological metabolisms. This review underlines the importance of using a systems biology approach to shed light on the molecular mechanisms of related biochemical pathways involving insulin and testosterone.
Collapse
|
110
|
Pham TT, Chen X, Barron J, Hart R, Abarca J, DeVries A. Effectiveness, safety and treatment adherence of biosimilar follow-on insulin in diabetes management. Diabetes Obes Metab 2022; 24:1989-1997. [PMID: 35670655 DOI: 10.1111/dom.14786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/25/2022] [Accepted: 06/06/2022] [Indexed: 11/29/2022]
Abstract
AIM To assess the change in HbA1c after initiation of biosimilar follow-on insulin (Basaglar) or reference insulin (Lantus) among patients with type 2 diabetes. We also compared treatment adherence, safety events and costs at 1 year after initiation of insulin. MATERIALS AND METHODS Using claims data from a large US health plan during 2016-2020, we identified adults with type 2 diabetes who initiated either Basaglar or Lantus. Generalized linear regression modelling assessed the differences in outcomes between the two groups. A 0.4% margin was used to determine non-inferiority for HbA1c. RESULTS The study included 1136 Basaglar users and 6304 Lantus users. Both Lantus and Basaglar groups showed more than 1% reduction in HbA1c over 6 months and over 12 months. Reduction in HbA1c with Basaglar was similar (non-inferior) to that with Lantus, with an adjusted difference of Basaglar to Lantus of 0.14% (95% CI -0.02 to 0.30) over 6 months and 0.17% (95% CI 0.02 to 0.32) over 12 months. Rates of adverse events were similar for both hypoglycaemia and vascular events. The Basaglar group showed higher adherence in terms of proportion of days covered (adjusted difference 0.06, 95% CI 0.04 to 0.08). Medical costs were similar, but the cost of Basaglar was lower (adjusted mean cost difference -$462, 95% CI -$556 to -$363) after adjustment. CONCLUSIONS In patients with type 2 diabetes, Basaglar provided similar glycaemic control compared with Lantus, had a similar safety profile and lower drug costs, and showed more favourable adherence.
Collapse
Affiliation(s)
- Timothy T Pham
- Enterprise Health Services Research, Anthem, Inc., Indianapolis, Indiana
| | - Xiaoxue Chen
- Enterprise Health Services Research, Anthem, Inc., Indianapolis, Indiana
| | | | | | | | - Andrea DeVries
- Enterprise Health Services Research, Anthem, Inc., Indianapolis, Indiana
| |
Collapse
|
111
|
Messer LH, Buckingham BA, Cogen F, Daniels M, Forlenza G, Jafri RZ, Mauras N, Muir A, Wadwa RP, White PC, Russell SJ, Damiano ER, El-Khatib FH, Ruedy KJ, Balliro CA, Li Z, Marak MC, Calhoun P, Beck RW. Positive Impact of the Bionic Pancreas on Diabetes Control in Youth 6-17 Years Old with Type 1 Diabetes: A Multicenter Randomized Trial. Diabetes Technol Ther 2022; 24:712-725. [PMID: 36173237 PMCID: PMC9529304 DOI: 10.1089/dia.2022.0201.pub] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Objective: To evaluate the insulin-only configuration of the iLet® bionic pancreas (BP) in youth 6-17 years old with type 1 diabetes (T1D). Research Design and Methods: In this multicenter, randomized, controlled trial, 165 youth with T1D (6-17 years old; baseline HbA1c 5.8%-12.2%; 35% using multiple daily injections, 36% using an insulin pump without automation, 4% using an insulin pump with low glucose suspend, and 25% using a hybrid closed-loop system before the study) were randomly assigned 2:1 to use BP (n = 112) with insulin aspart or insulin lispro (BP group) or to a control group (n = 53) using their personal standard care insulin delivery (SC group) plus real-time continuous glucose monitoring (CGM). The primary outcome was HbA1c at 13 weeks. Results: Mean HbA1c decreased from 8.1% ± 1.2% at baseline to 7.5% ± 0.7% at 13 weeks with BP versus 7.8% ± 1.1% at both baseline and 13 weeks with SC (adjusted difference = -0.5%, 95% CI -0.7% to -0.2%, P < 0.001). Participants with baseline HbA1c ≥9.0% (n = 34) decreased mean HbA1c from 9.7% ± 0.8% to 7.9% ± 0.6% after 13 weeks with BP compared with 9.7% ± 0.5% to 9.8% ± 0.8% with SC. Over 13 weeks, mean time in range (TIR) 70-180 mg/dL increased by 10% (2.4 h per day) and mean CGM glucose was reduced by 15 mg/dL with BP compared with SC (P < 0.001). Analyses of time >180 mg/dL, time >250 mg/dL, and standard deviation of CGM glucose favored BP (P < 0.001). Time <54 mg/dL was low at baseline (median 0.2%) and not significantly different between groups over 13 weeks (P = 0.24). A severe hypoglycemia event occurred in 3 (2.7%) participants in the BP group and in 1 (1.9%) in the SC group. Conclusions: In youth 6-17 years old with T1D, use of insulin-only configuration of BP improved HbA1c, TIR, and hyperglycemic metrics without increasing CGM-measured hypoglycemia compared with standard of care. Improvement in glycemic metrics was most pronounced in participants with high baseline HbA1c levels. Clinical Trial Registry: clinicaltrials.gov; NCT04200313.
Collapse
Affiliation(s)
- Laurel H. Messer
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
| | - Bruce A. Buckingham
- Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Palo Alto, California, USA
| | - Fran Cogen
- Department of Endocrinology and Diabetes, Children's National Medical Center, Washington, District of Columbia, USA
| | - Mark Daniels
- Endocrinology and Diabetes Division, Children's Hospital of Orange County, Orange, California, USA
| | - Greg Forlenza
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
| | - Rabab Z. Jafri
- Division of Pediatric Endocrinology and Diabetes, University of Texas Health Science Center, San Antonio, San Antonio, Texas, USA
| | - Nelly Mauras
- Division of Endocrinology, Diabetes & Metabolism, Department of Pediatrics, Nemours Children's Health System, Jacksonville, Florida, USA
| | - Andrew Muir
- Department of Pediatrics, Emory University, Atlanta, Georgia, USA
| | - R. Paul Wadwa
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
| | - Perrin C. White
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Steven J. Russell
- Diabetes Research Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Edward R. Damiano
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA
- Beta Bionics, Concord, Massachusetts, USA
| | - Firas H. El-Khatib
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA
- Beta Bionics, Concord, Massachusetts, USA
| | | | - Courtney A. Balliro
- Diabetes Research Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Zoey Li
- JAEB Center for Health Research, Tampa, Florida, USA
| | | | - Peter Calhoun
- JAEB Center for Health Research, Tampa, Florida, USA
| | - Roy W. Beck
- JAEB Center for Health Research, Tampa, Florida, USA
| |
Collapse
|
112
|
Lynch J, Kanapka LG, Russell SJ, Damiano ER, El-Khatib FH, Ruedy KJ, Balliro C, Calhoun P, Beck RW. The Insulin-Only Bionic Pancreas Pivotal Trial Extension Study: A Multi-Center Single-Arm Evaluation of the Insulin-Only Configuration of the Bionic Pancreas in Adults and Youth with Type 1 Diabetes. Diabetes Technol Ther 2022; 24:726-736. [PMID: 36173238 PMCID: PMC9529297 DOI: 10.1089/dia.2022.0341] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objective: To evaluate a transition from standard-of-care (SC) management of type 1 diabetes (any insulin delivery method including hybrid closed-loop systems plus real-time continuous glucose monitoring [CGM]) to use of the insulin-only configuration of the iLet® bionic pancreas (BP) in 90 adults and children (age 6-71 years). Research Design and Methods: After the SC group completed the randomized controlled trial (RCT) portion of the Insulin-Only BP Pivotal Trial, 90 of the 107 participants participated in a 13-week study using the BP. The key outcomes were change from baseline in HbA1c and CGM metrics after 13 weeks on the BP. Results: Using the BP, mean HbA1c decreased from 7.7% ± 1.0% (61 ± 10.9 mmol/mol) at baseline to 7.1% ± 0.6% (54 ± 6.6 mmol/mol) at 13 weeks (mean change -0.55% ± 0.72% [-6 ± 7.9 mmol/mol], P < 0.001), time in range 70-180 mg/dL increased by 12.0% ± 12.5% (from 53% ± 17% to 65% ± 9%, P < 0.001), and mean glucose decreased by -18 ± 23 mg/dL (from 182 ± 32 to 164 ± 15 mg/dL, P < 0.001). The higher the baseline HbA1c level, the greater the change in HbA1c. Results were similar in the adult (N = 42) and pediatric (N = 48) cohorts. Time <70 mg/dL decreased from baseline over the 13 weeks by -0.50% ± 1.86% (P = 0.02), and time <54 mg/dL was similar (change from baseline -0.08% ± 0.59%, P = 0.24). Two severe hypoglycemia events (in same participant) and one diabetic ketoacidosis event occurred. Conclusions: Glycemic control improved after adult and pediatric participants in the SC arm in the Insulin-Only BP Pivotal Trial transitioned to use of the BP. Improvement using the BP was of similar magnitude to that observed during the RCT. ClinicalTrials.gov number, NCT04200313.
Collapse
Affiliation(s)
- Jane Lynch
- Department of Pediatrics, University of Texas Health Sciences Center, San Antonio, San Antonio, Texas, USA
| | | | - Steven J. Russell
- Diabetes Research Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Edward R. Damiano
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA
- Beta Bionics, Concord, Massachusetts, USA
| | - Firas H. El-Khatib
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA
- Beta Bionics, Concord, Massachusetts, USA
| | | | - Courtney Balliro
- Diabetes Research Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Peter Calhoun
- JAEB Center for Health Research, Tampa, Florida, USA
| | - Roy W. Beck
- JAEB Center for Health Research, Tampa, Florida, USA
| |
Collapse
|
113
|
Vellanki P, Cardona S, Galindo RJ, Urrutia MA, Pasquel FJ, Davis GM, Fayfman M, Migdal A, Peng L, Umpierrez GE. Efficacy and Safety of Intensive Versus Nonintensive Supplemental Insulin With a Basal-Bolus Insulin Regimen in Hospitalized Patients With Type 2 Diabetes: A Randomized Clinical Study. Diabetes Care 2022; 45:2217-2223. [PMID: 35675498 PMCID: PMC9643128 DOI: 10.2337/dc21-1606] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 04/26/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Administration of supplemental sliding scale insulin for correction of hyperglycemia in non-intensive care unit (ICU) patients with type 2 diabetes is frequently used with basal-bolus insulin regimens. In this noninferiority randomized controlled trial we tested whether glycemic control is similar with and without aggressive sliding scale insulin treatment before meals and bedtime in patients treated with basal-bolus insulin regimens. RESEARCH DESIGN AND METHODS Patients with type 2 diabetes with admission blood glucose (BG) 140-400 mg/dL treated with basal-bolus insulin were randomized to intensive (correction for BG >140 mg/dL, n = 108) or to nonintensive (correction for BG >260 mg/dL, n = 107) administration of rapid-acting sliding scale insulin before meals and bedtime. The groups received the same amount of sliding scale insulin for BG >260 mg/dL. Primary outcome was difference in mean daily BG levels between the groups during hospitalization. RESULTS Mean daily BG in the nonintensive group was noninferior to BG in the intensive group with equivalence margin of 18 mg/dL (intensive 172 ± 38 mg/dL vs. nonintensive 173 ± 43 mg/dL, P = 0.001 for noninferiority). There were no differences in the proportion of target BG readings of 70-180 mg/dL, <70 or <54 mg/dL (hypoglycemia), or >350 mg/dL (severe hyperglycemia) or total, basal, or prandial insulin doses. Significantly fewer subjects received sliding scale insulin in the nonintensive (n = 36 [34%]) compared with the intensive (n = 98 [91%] [P < 0.0001]) group with no differences in sliding scale insulin doses between the groups among those who received sliding scale insulin (intensive 7 ± 4 units/day vs. nonintensive 8 ± 4 units/day, P = 0.34). CONCLUSIONS Among non-ICU patients with type 2 diabetes on optimal basal-bolus insulin regimen with moderate hyperglycemia (BG <260 mg/dL), a less intensive sliding scale insulin treatment did not significantly affect glycemic control.
Collapse
Affiliation(s)
- Priyathama Vellanki
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Saumeth Cardona
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Rodolfo J. Galindo
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Maria A. Urrutia
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Francisco J. Pasquel
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Georgia M. Davis
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Maya Fayfman
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Alexandra Migdal
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Limin Peng
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Guillermo E. Umpierrez
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| |
Collapse
|
114
|
Anderson RL, DiMeglio LA, Mander AP, Dayan CM, Linsley PS, Herold KC, Marinac M, Ahmed ST. Innovative Designs and Logistical Considerations for Expedited Clinical Development of Combination Disease-Modifying Treatments for Type 1 Diabetes. Diabetes Care 2022; 45:2189-2201. [PMID: 36150059 PMCID: PMC9911317 DOI: 10.2337/dc22-0308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/19/2022] [Indexed: 02/06/2023]
Abstract
It has been 100 years since the life-saving discovery of insulin, yet daily management of type 1 diabetes (T1D) remains challenging. Even with closed-loop systems, the prevailing need for persons with T1D to attempt to match the kinetics of insulin activity with the kinetics of carbohydrate metabolism, alongside dynamic life factors affecting insulin requirements, results in the need for frequent interventions to adjust insulin dosages or consume carbohydrates to correct mismatches. Moreover, peripheral insulin dosing leaves the liver underinsulinized and hyperglucagonemic and peripheral tissues overinsulinized relative to their normal physiologic roles in glucose homeostasis. Disease-modifying therapies (DMT) to preserve and/or restore functional β-cell mass with controlled or corrected autoimmunity would simplify exogenous insulin need, thereby reducing disease mortality, morbidity, and management burdens. However, identifying effective DMTs for T1D has proven complex. There is some consensus that combination DMTs are needed for more meaningful clinical benefit. Other complexities are addressable with more innovative trial designs and logistics. While no DMT has yet been approved for marketing, existing regulatory guidance provides opportunities to further "de-risk" development. The T1D development ecosystem can accelerate progress by using more innovative ways for testing DMTs for T1D. This perspective outlines suggestions for accelerating evaluation of candidate T1D DMTs, including combination therapies, by use of innovative trial designs, enhanced logistical coordination of efforts, and regulatory guidance for expedited development, combination therapies, and adaptive designs.
Collapse
Affiliation(s)
| | - Linda A. DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN
| | - Adrian P. Mander
- Centre for Trials Research, Cardiff University School of Medicine, Cardiff, U.K
| | - Colin M. Dayan
- Centre for Endocrine and Diabetes Science, Cardiff University School of Medicine, Cardiff, U.K
| | - Peter S. Linsley
- Systems Immunology Program, Benaroya Research Institute at Virginia Mason, Seattle, WA
| | - Kevan C. Herold
- Departments of Immunobiology and Internal Medicine, Yale University, New Haven, CT
| | | | - Simi T. Ahmed
- New York Stem Cell Foundation Research Institute, New York, NY
| |
Collapse
|
115
|
Pan Q, Li Y, Wan H, Wang J, Xu B, Wang G, Jiang C, Liang L, Feng W, Liu J, Wang T, Zhang X, Cui N, Mu Y, Guo L. Efficacy and safety of a basal insulin + 2-3 oral antihyperglycaemic drugs regimen versus a twice-daily premixed insulin + metformin regimen after short-term intensive insulin therapy in individuals with type 2 diabetes: The multicentre, open-label, randomized controlled BEYOND-V trial. Diabetes Obes Metab 2022; 24:1957-1966. [PMID: 35642463 PMCID: PMC9543477 DOI: 10.1111/dom.14780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/18/2022] [Accepted: 05/26/2022] [Indexed: 11/30/2022]
Abstract
AIM To compare the efficacy and safety of basal insulin glargine 100 units/ml (Gla) + 2-3 oral antihyperglycaemic drugs (OADs) with twice-daily premixed insulin aspart 70/30 (Asp30) + metformin (MET) after short-term intensive insulin therapy in adults with type 2 diabetes in China. MATERIALS AND METHODS This open-label trial enrolled insulin-naïve adults with type 2 diabetes and an HbA1c of 7.5%-11.0% (58-97 mmol/mol) despite treatment with 2-3 OADs. All participants stopped previous OADs except MET, then received short-term intensive insulin therapy during the run-in period, when those with a fasting plasma glucose of less than 7.0 mmol/L and 2-hour postprandial glucose of less than 10.0 mmol/L were randomized to Gla + MET + a dipeptidyl peptidase-4 inhibitor or twice-daily Asp30 + MET. If HbA1c was more than 7.0% (>53 mmol/mol) at week 12, participants in the Gla group were added repaglinide or acarbose, at the physician's discretion, and participants in the Asp30 group continued to titrate insulin dose. The change in HbA1c from baseline to week 24 was assessed in the per protocol (PP) population (primary endpoint). RESULTS There were 384 enrollees (192 each to Gla and Asp30); 367 were included in the PP analysis. The threshold for non-inferiority of Gla + OADs versus Asp30 + MET was met, with a least squares mean change from baseline in HbA1c of -1.72% and -1.70% (-42.2 and -42.1 mmol/mol), respectively (estimated difference -0.01%; 95% CI -0.20%, 0.17% [-0.1 mmol/mol; 95% CI -2.2, 1.9]). Achievement of HbA1c less than 7.0% (<53 mmol/mol) was comparable between the groups (60% vs. 57%). The proportion of participants with any (24% vs. 38%; P = .003), symptomatic (19% vs. 31%; P = .007) or confirmed hypoglycaemia (18% vs. 33%; P < .001) was lower in the Gla + OADs group. CONCLUSIONS Compared with Asp30 + MET, Gla + 2-3 OADs showed similar efficacy but a lower hypoglycaemia risk in Chinese individuals with type 2 diabetes who had undergone short-term intensive insulin therapy.
Collapse
Affiliation(s)
- Qi Pan
- Department of Endocrinology, Beijing HospitalNational Center of GerontologyBeijingChina
| | - Yijun Li
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Hailong Wan
- Department of EndocrinologyPanjin Central HospitalPanjinChina
| | - Junfen Wang
- Department of EndocrinologySecond Hospital of ShijiazhuangShijiazhuangChina
| | - Binhua Xu
- Department of EndocrinologyHarbin the First HospitalHarbinChina
| | - Guoping Wang
- Department of EndocrinologySecond Affiliated Hospital of Baotou Medical CollegeBaotouChina
| | - Chengxia Jiang
- Department of EndocrinologyThe Second People's Hospital of YibinYibinChina
| | - Li Liang
- Department of EndocrinologyPeople's Hospital of Liaoning ProvinceShenyangChina
| | - Wei Feng
- Medical DepartmentSanofiShanghaiChina
| | | | - Ting Wang
- Medical DepartmentSanofiShanghaiChina
| | - Xia Zhang
- Medical DepartmentSanofiShanghaiChina
| | - Nan Cui
- Medical DepartmentSanofiShanghaiChina
| | - Yiming Mu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Lixin Guo
- Department of Endocrinology, Beijing HospitalNational Center of GerontologyBeijingChina
| | | |
Collapse
|
116
|
Chiang HH, Surampudi P, Sood A. Determinants of initial insulin therapy for hospitalized patients with diabetes mellitus. J Diabetes Complications 2022; 36:108307. [PMID: 36116360 DOI: 10.1016/j.jdiacomp.2022.108307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/16/2022] [Accepted: 09/06/2022] [Indexed: 11/11/2022]
Abstract
AIMS Glycemic control immediately after hospital admission is difficult. This study aimed to develop an algorithm-based approach to initiate insulin therapy on admission. METHODS Patients with history of diabetes mellitus admitted at UC Davis medical center, with any blood glucose (BG) value ≥ 180 mg/dL, or who received any insulin within the first 24 h of hospitalization were selected for a retrospective chart review. RESULTS Total of 315 patient records were studied. Patients prescribed insulin prior to admission had higher 24-hour average BG and higher corrected total daily dose of insulin (CxTDD), compared with the patients who were not prescribed insulin prior to admission. For the patients not receiving home insulin and not given new glucocorticoids, first BG upon presentation correlated with the risk of first 24-hour average BG > 180 mg/dL. Factors associated with CxTDD were first BG, weight, oral intake, and glucocorticoid dose. Home insulin daily dose, opiate/intravenous pain medication and systemic inflammatory response syndrome were associated with CxTDD only in the patients receiving home insulin. CONCLUSIONS A subgroup of patients can be given correction insulin as a sole initial treatment on admission. For patients requiring basal-bolus insulin, several factors associated with the initial insulin requirements are identified.
Collapse
Affiliation(s)
- Hou-Hsien Chiang
- Department of Internal Medicine, Division of General Medicine, University of California, Davis Medical Center, Sacramento, CA, United States of America
| | - Prasanth Surampudi
- Department of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, University of California, Davis Medical Center, Sacramento, CA, United States of America
| | - Ajay Sood
- Department of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, University of California, Davis Medical Center, Sacramento, CA, United States of America; Endocrine Section, Medicine Service, Sacramento VA Medical Center, Mather, CA, United States of America.
| |
Collapse
|
117
|
Lee YB, Bae YJ, Kim H, Park J, Kwon SY, Park SH, Kim G, Hur KY, Kim JH, Jin SM. Severe hypoglycemia and risk of hospitalization for heart failure in adults with diabetes treated with oral medications with or without insulin: A population-based study. Diabetes Res Clin Pract 2022; 192:110083. [PMID: 36122865 DOI: 10.1016/j.diabres.2022.110083] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 08/28/2022] [Accepted: 09/10/2022] [Indexed: 11/18/2022]
Abstract
AIMS We aimed to determine if severe hypoglycemia (SH) independently increases the risk of hospitalization for heart failure (hHF) in type 2 diabetes, regardless of the prevalent or incident cardiovascular disease (CVD). METHODS This was a nationwide population-based propensity score-matched study using Korean National Health Insurance Service data (2002-2018). The hazards of hHF were compared in individuals who experienced SH (n = 8,965) and 1:3 matched controls, among adults with diabetes using oral anti-diabetes medications (OADs) with or without insulin and without previous hHF at baseline. RESULTS During 236,417 person-years, 1,189 cases of hHF occurred. The hazard of hHF was higher in individuals with SH compared to matched controls (adjusted hazard ratio [aHR] 1.503, 95 % confidence interval [CI] 1.324-1.707). The increase in aHR remained significant when excluding participants with prevalent or incident major adverse cardiovascular events (MACE; aHR 1.352, 95 % CI 1.228-1.622) and any CVD (aHR 1.342, 95 % CI 1.025-1.756). Two or more SH events were associated with further increase in hHF risk. CONCLUSION SH was associated with increased risks of hHF among adults with diabetes using OAD with or without insulin. The increased risk was attenuated but remained significant in those without prevalent or incident MACE or CVDs.
Collapse
Affiliation(s)
- You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Yoon-Jong Bae
- Data Science Team, Hanmi Pharm. Co., Ltd., Seoul, Republic of Korea
| | - Hoseob Kim
- Data Science Team, Hanmi Pharm. Co., Ltd., Seoul, Republic of Korea
| | - Jiyun Park
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - So Yoon Kwon
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - So Hee Park
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea.
| |
Collapse
|
118
|
Viroonluecha P, Egea-Lopez E, Santa J. Evaluation of blood glucose level control in type 1 diabetic patients using deep reinforcement learning. PLoS One 2022; 17:e0274608. [PMID: 36099285 PMCID: PMC9469983 DOI: 10.1371/journal.pone.0274608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 08/30/2022] [Indexed: 11/18/2022] Open
Abstract
Diabetes mellitus is a disease associated with abnormally high levels of blood glucose due to a lack of insulin. Combining an insulin pump and continuous glucose monitor with a control algorithm to deliver insulin is an alternative to patient self-management of insulin doses to control blood glucose levels in diabetes mellitus patients. In this work, we propose a closed-loop control for blood glucose levels based on deep reinforcement learning. We describe the initial evaluation of several alternatives conducted on a realistic simulator of the glucoregulatory system and propose a particular implementation strategy based on reducing the frequency of the observations and rewards passed to the agent, and using a simple reward function. We train agents with that strategy for three groups of patient classes, evaluate and compare it with alternative control baselines. Our results show that our method is able to outperform baselines as well as similar recent proposals, by achieving longer periods of safe glycemic state and low risk.
Collapse
Affiliation(s)
- Phuwadol Viroonluecha
- Universidad Politecnica de Cartagena (UPCT), Department of Information Technologies and Communications, Cartagena, Spain
- * E-mail:
| | - Esteban Egea-Lopez
- Universidad Politecnica de Cartagena (UPCT), Department of Information Technologies and Communications, Cartagena, Spain
| | - Jose Santa
- Universidad Politecnica de Cartagena (UPCT), Department of Electronics, Computer Technology and Projects, Cartagena, Spain
| |
Collapse
|
119
|
Heise T, Piras de Oliveira C, Juneja R, Ribeiro A, Chigutsa F, Blevins T. What is the value of faster acting prandial insulin? Focus on ultra rapid lispro. Diabetes Obes Metab 2022; 24:1689-1701. [PMID: 35593434 PMCID: PMC9540401 DOI: 10.1111/dom.14773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/14/2022] [Accepted: 05/17/2022] [Indexed: 01/09/2023]
Abstract
Rapid-acting insulins (RAIs) have been instrumental in the management of diabetes because of their improved postprandial glucose (PPG) control compared with regular human insulin. However, their absorption rate and time action following subcutaneous administration still falls short of the normal physiological response to meal consumption, increasing the risk of early postmeal hyperglycaemia and late postmeal hypoglycaemia. Increased demand for faster acting insulins, which can quickly control PPG excursions without increasing the risk of late hypoglycaemia, led to the development of ultra-rapid-acting insulins, including ultra-rapid lispro (URLi). URLi is a novel formulation of insulin lispro with accelerated absorption driven by two excipients: treprostinil, which increases local vasodilation, and citrate, which increases local vascular permeability. Clinical pharmacology studies consistently showed an earlier onset and shorter duration of action with URLi compared with Lispro. In a head-to-head study with Faster aspart, Aspart and Lispro, URLi was absorbed faster, provided earlier insulin action, and more closely matched physiological glucose response than the other insulins tested. URLi's unique pharmacokinetic properties increase its potential for improved PPG control beyond that achieved with RAIs. Indeed, in pivotal phase 3 trials, URLi was superior to Lispro for PPG control both at 1 and 2 hours after a meal in type 1 and type 2 diabetes with multiple daily injections, and in type 1 diabetes with continuous subcutaneous insulin infusion. This was achieved without increasing the risk of hypoglycaemia. In this review, we focus on the clinical and pharmacological evidence for URLi in the treatment of diabetes and discuss the potential benefits and considerations with URLi compared with RAIs.
Collapse
|
120
|
Xu L, Wang W, Song W. A combination of metformin and insulin improve cardiovascular and cerebrovascular risk factors in individuals with type 1 diabetes mellitus. Diabetes Res Clin Pract 2022; 191:110073. [PMID: 36075464 DOI: 10.1016/j.diabres.2022.110073] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/14/2022] [Accepted: 08/31/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND This study aims to further clarify whether the addition of metformin to insulin treatment improve cardiovascular and cerebrovascular risk factors in individuals with T1DM. METHODS Electronic databases were searched for randomized controlled trials in which the efficacy and safety of metformin were compared with those of a placebo for risk factors of cardiovascular and cerebrovascular disease among individuals with T1DM, and a meta-analysis was conducted. RESULTS Thirteen cardiovascular studies were identified. In the metformin group, mean carotid intimal media thickness was significantly reduced by 0.03 mm, ascending aortic pulse wave velocity by 6.3 m/s, descending aortic wall shear stress by 1.77 dyn/cm2 (P = 0.02), insulin daily dose by 0.05 U/kg/d, body weight by 2.27 kg, fat-free mass by 1.32 kg, body mass index by 0.58 kg/m2, hip circumference by 0.29 m, and low-density lipoprotein by 0.16 mmol/L, all above are P < 0.05. In the metformin group, flow-mediated dilation was increased by 1.29 %, glucose infusion rate/insulin by 18.22 mg/(kg⋅min)/μIU/μL, and waist-to-hip ratio by 0.02, all above are P < 0.00001. The metformin group showed no differences in blood pressure, reactive hyperemia index, waist circumference, triglyceride, total cholesterol, high-density lipoprotein cholesterol, or body mass index Z score. For cerebrovascular studies were identified. But none of them had a risk factor assessment. CONCLUSIONS Metformin can ameliorate cardiovascular and cerebrovascular risk factors through non-hypoglycemic multiple pathways in individuals with T1DM.
Collapse
Affiliation(s)
- Linlin Xu
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wei Wang
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wei Song
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
| |
Collapse
|
121
|
Talbo MK, Rabasa-Lhoret R, Yale JF, Peters TM, Brazeau AS. Are nocturnal hypoglycemia prevention strategies influenced by diabetes technology usage? A BETTER registry analysis. Diabetes Res Clin Pract 2022; 191:110080. [PMID: 36099973 DOI: 10.1016/j.diabres.2022.110080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/02/2022] [Accepted: 09/06/2022] [Indexed: 12/24/2022]
Abstract
AIM To assess the association of nocturnal hypoglycemia prevention strategies (NH-PS) and diabetes technology usage (insulin pump and/or continuous glucose monitors [CGM]) in people with type 1 diabetes (PWT1D). METHODS Logistic regression models were used to describe associations between self-reported NH-PS and diabetes technology (pump with intermittently-scanned or real-time CGM (isCGM or rtCGM), or automated insulin delivery (AID)), hypoglycemia history, and fear of hypoglycemia (FOH). RESULTS Among 831 adults (65 % female, aged 44 ± 15 years, T1D duration 26 ± 15 years), 32 % reported HbA1c ≤ 7.0 %, 88 % used ≥ 1 diabetes technology, 66 % reported ≥ 1 symptomatic NH in the past month, and 64 % used ≥ 2 NH-PS. Compared to multiple daily injections (MDI) + capillary blood glucose (CBG), bedtime snack consumption was less likely among pump + isCGM (OR [95 %CI]: 0.55 [0.31, 0.98]), pump + rtCGM (0.40 [0.20, 0.81]), and AID (0.34 [0.17, 0.66]) users, while evening insulin basal reduction was associated with CSII + CBG (3.15 [1.25, 7.99]), pump + isCGM 4.00 [1.99, 8.01]), and pump + rtCGM 2.89 [1.28, 6.50] use. Elevated FOH was associated with snack consumption (1.37 [1.00, 1.89]), evening bolus insulin avoidance (1.77 [1.11, 2.83]), limiting exercise (2.50 [1.30, 4.82]), and limiting alcohol consumption (2.33 [1.15, 4.70]) as NH-PS. CONCLUSION Technology use and elevated FOH might influence PWT1D' choice of NH-PS.
Collapse
Affiliation(s)
- Meryem K Talbo
- School of Human Nutrition, McGill University, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue, Quebec H9X 3V9, Canada
| | - Rémi Rabasa-Lhoret
- Institut de Recherches Cliniques de Montréal Université de Montréal, 110 Pine Ave W, Montréal, Québec H2W 1R7, Canada; Division of Endocrinology and Metabolism, Centre hospitalier de l'Université de Montréal, Canada; Montreal Diabetes Research Center, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada
| | - Jean-François Yale
- Division of Endocrinology and Metabolism, McGill University Health Center, McGill University, Montreal, Quebec, Canada
| | - Tricia M Peters
- Lady Davis Institute of Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; The Jewish General Hospital, Division of Endocrinology, Department of Medicine, McGill University, Montreal, QC, Canada
| | - Anne-Sophie Brazeau
- School of Human Nutrition, McGill University, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue, Quebec H9X 3V9, Canada; Montreal Diabetes Research Center, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada.
| |
Collapse
|
122
|
Pinsker JE, Dassau E, Deshpande S, Raghinaru D, Buckingham BA, Kudva YC, Laffel LM, Levy CJ, Church MM, Desrochers H, Ekhlaspour L, Kaur RJ, Levister C, Shi D, Lum JW, Kollman C, Doyle FJ. Outpatient Randomized Crossover Comparison of Zone Model Predictive Control Automated Insulin Delivery with Weekly Data Driven Adaptation Versus Sensor-Augmented Pump: Results from the International Diabetes Closed-Loop Trial 4. Diabetes Technol Ther 2022; 24:635-642. [PMID: 35549708 PMCID: PMC9422791 DOI: 10.1089/dia.2022.0084] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Background: Automated insulin delivery (AID) systems have proven effective in increasing time-in-range during both clinical trials and real-world use. Further improvements in outcomes for single-hormone (insulin only) AID may be limited by suboptimal insulin delivery settings. Methods: Adults (≥18 years of age) with type 1 diabetes were randomized to either sensor-augmented pump (SAP) (inclusive of predictive low-glucose suspend) or adaptive zone model predictive control AID for 13 weeks, then crossed over to the other arm. Each week, the AID insulin delivery settings were sequentially and automatically updated by an adaptation system running on the study phone. Primary outcome was sensor glucose time-in-range 70-180 mg/dL, with noninferiority in percent time below 54 mg/dL as a hierarchical outcome. Results: Thirty-five participants completed the trial (mean age 39 ± 16 years, HbA1c at enrollment 6.9% ± 1.0%). Mean time-in-range 70-180 mg/dL was 66% with SAP versus 69% with AID (mean adjusted difference +2% [95% confidence interval: -1% to +6%], P = 0.22). Median time <70 mg/dL improved from 3.0% with SAP to 1.6% with AID (-1.5% [-2.4% to -0.5%], P = 0.002). The adaptation system decreased initial basal rates by a median of 4% (-8%, 16%) and increased initial carbohydrate ratios by a median of 45% (32%, 59%) after 13 weeks. Conclusions: Automated adaptation of insulin delivery settings with AID use did not significantly improve time-in-range in this very well-controlled population. Additional study and further refinement of the adaptation system are needed, especially in populations with differing degrees of baseline glycemic control, who may show larger benefits from adaptation.
Collapse
Affiliation(s)
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Sunil Deshpande
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Dan Raghinaru
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Bruce A. Buckingham
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Yogish C. Kudva
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Lori M. Laffel
- Research Division, Joslin Diabetes Center and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Carol J. Levy
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mei Mei Church
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | - Hannah Desrochers
- Research Division, Joslin Diabetes Center and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Laya Ekhlaspour
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Ravinder Jeet Kaur
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Camilla Levister
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dawei Shi
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - John W. Lum
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Craig Kollman
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Francis J. Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| |
Collapse
|
123
|
Chakrabarti A, Trawley S, Kubilay E, Mohammad Alipoor A, Vogrin S, Fourlanos S, Lee MH, O'Neal DN, O'Regan NA, Sundararajan V, Ward GM, MacIsaac RJ, Colman PG, McAuley SA. Closed-Loop Insulin Delivery Effects on Glycemia During Sleep and Sleep Quality in Older Adults with Type 1 Diabetes: Results from the ORACL Trial. Diabetes Technol Ther 2022; 24:666-671. [PMID: 35575751 DOI: 10.1089/dia.2022.0110] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Sleep-related effects of closed-loop therapy among older adults with type 1 diabetes have not been well established. In the OldeR Adult Closed-Loop (ORACL) randomized, crossover trial of first-generation closed-loop therapy (MiniMed 670G), participants wore actigraphy and completed sleep diaries for 14-day periods at stage end. During objectively measured sleep (actigraphy) with closed-loop versus sensor-augmented pump therapy, glucose time-in-range 70-180 mg/dL (3.9-10.0 mmol/L) was greater (90.3% vs. 78.7%, respectively; difference 8.2 percentage points [95% confidence interval {CI} 1.5 to 13.0]; P = 0.008), and there were fewer sensor hypoglycemia episodes (18 vs. 43, respectively; incident rate ratio 0.40 [95% CI 0.20 to 0.55]; P = 0.007). Sleep quality recorded daily was worse with closed-loop therapy (P = 0.006); Pittsburgh Sleep Quality Index did not differ. There were 30% more system alarms during monitored sleep with closed-loop therapy (P < 0.001). First-generation closed-loop therapy has important glycemic benefits during sleep for older adults, with deterioration in some sleep quality measures. Sleep quality warrants prioritization and investigation during advancement of closed-loop technology.
Collapse
Affiliation(s)
- Anindita Chakrabarti
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Steven Trawley
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychology, The Cairnmillar Institute, Melbourne, Victoria, Australia
| | - Erin Kubilay
- Department of Psychology, The Cairnmillar Institute, Melbourne, Victoria, Australia
| | - Andisheh Mohammad Alipoor
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Sara Vogrin
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Spiros Fourlanos
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Melissa H Lee
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - David N O'Neal
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Niamh A O'Regan
- Department of Geriatric Medicine, Waterford Integrated Care for Older People, University Hospital Waterford, Waterford, Ireland
| | - Vijaya Sundararajan
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Glenn M Ward
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Richard J MacIsaac
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Melbourne, Victoria, Australia
| | - Peter G Colman
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Sybil A McAuley
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
124
|
Bali IA, Al-Jelaify MR, AlRuthia Y, Mulla JZ, Amlih DF, Bin Omair AI, Al Khalifah RA. Estimated Cost-effectiveness of Subcutaneous Insulin Aspart in the Management of Mild Diabetic Ketoacidosis Among Children. JAMA Netw Open 2022; 5:e2230043. [PMID: 36066894 PMCID: PMC9449786 DOI: 10.1001/jamanetworkopen.2022.30043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Intravenous (IV) insulin infusion is the standard of care for treating diabetic ketoacidosis (DKA) worldwide. Subcutaneous (SC) insulin aspart could decrease the use of health care resources. OBJECTIVE To compare the cost-effectiveness of mild uncomplicated DKA management with SC insulin aspart vs IV insulin infusion among pediatric patients from the perspective of a public health care payer using clinical data. DESIGN, SETTING, AND PARTICIPANTS This economic evaluation included children aged 2 to 14 years presenting to the emergency department of a single academic medical center with mild DKA between January 1, 2015, and March 15, 2020. The medical records for DKA treatment course and its associated hospitalization costs were reviewed. Data were analyzed from January 1, 2015, to March 15, 2020. EXPOSURES Subcutaneous insulin aspart vs IV regular insulin infusion. MAIN OUTCOMES AND MEASURES The incremental cost-effectiveness ratio (US dollars per hour), duration of DKA treatment, and length of hospital stay. RESULTS A total of 129 children with mild DKA episodes (mean [SD] age, 9.9 [3.1] years; 72 girls [55.8%]) were enrolled in the study. Seventy children received SC insulin aspart and 59 received IV regular insulin. Overall, the length of hospital stay in the SC insulin group was reduced (mean, 16.9 [95% CI, -31.0 to -2.9] hours) compared with the IV insulin group (P = .005). The mean (SD) cost of hospitalization in the SC insulin group (US $1071.99 [US $523.89]) was less than that in the IV insulin group (US $1648.90 [US $788.03]; P = .001). The incremental cost-effectiveness ratio was -34.08 (95% CI, -25.97 to -129.82) USD/h. The use of SC insulin aspart was associated with a lower likelihood of prolonged hospital stay (β = -17.22 [95% CI, -32.41 to -2.04]; P = .03) than IV regular insulin when controlling for age and sex. CONCLUSION AND RELEVANCE Findings of this economic evaluation suggest that SC insulin aspart is dominant vs IV regular insulin in the management of mild uncomplicated DKA in children.
Collapse
Affiliation(s)
- Ibrahim Abdulaziz Bali
- Division of Pediatric Endocrinology, Department of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | | | - Yazed AlRuthia
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Jaazeel Zohair Mulla
- Department of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Dana Fawzi Amlih
- Department of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | | | - Reem Abdullah Al Khalifah
- Division of Pediatric Endocrinology, Department of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| |
Collapse
|
125
|
Sherr JL, Bode BW, Forlenza GP, Laffel LM, Schoelwer MJ, Buckingham BA, Criego AB, DeSalvo DJ, MacLeish SA, Hansen DW, Ly TT. Safety and Glycemic Outcomes With a Tubeless Automated Insulin Delivery System in Very Young Children With Type 1 Diabetes: A Single-Arm Multicenter Clinical Trial. Diabetes Care 2022; 45:1907-1910. [PMID: 35678724 PMCID: PMC9346983 DOI: 10.2337/dc21-2359] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 04/26/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Very young children with type 1 diabetes often struggle to achieve glycemic targets, putting them at risk for long-term complications and creating an immense management burden for caregivers. We conducted the first evaluation of the Omnipod 5 Automated Insulin Delivery System in this population. RESEARCH DESIGN AND METHODS A total of 80 children aged 2.0-5.9 years used the investigational system in a single-arm study for 13 weeks following 14 days of baseline data collection with their usual therapy. RESULTS There were no episodes of severe hypoglycemia or diabetic ketoacidosis. By study end, HbA1c decreased by 0.55% (6.0 mmol/mol) (P < 0.0001). Time with sensor glucose levels in target range 70-180 mg/dL increased by 10.9%, or 2.6 h/day (P < 0.0001), while time with levels <70 mg/dL declined by median 0.27% (P = 0.0204). CONCLUSIONS Use of the automated insulin delivery system was safe, and participants experienced improved glycemic measures and reduced hypoglycemia during the study phase compared with baseline.
Collapse
Affiliation(s)
| | | | - Gregory P. Forlenza
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Lori M. Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA
| | | | - Bruce A. Buckingham
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, CA
| | - Amy B. Criego
- Park Nicollet Pediatric Endocrinology, International Diabetes Center, Minneapolis, MN
| | | | - Sarah A. MacLeish
- Department of Pediatrics, University Hospitals Cleveland Medical Center, Rainbow Babies and Children’s Hospital, Cleveland, OH
| | - David W. Hansen
- Department of Pediatrics, State University of New York Upstate Medical University, Syracuse, NY
| | | |
Collapse
|
126
|
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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
127
|
Nimri R, Tirosh A, Muller I, Shtrit Y, Kraljevic I, Alonso MM, Milicic T, Saboo B, Deeb A, Christoforidis A, den Brinker M, Bozzetto L, Bolla AM, Krcma M, Rabini RA, Tabba S, Gerasimidi-Vazeou A, Maltoni G, Giani E, Dotan I, Liberty IF, Toledano Y, Kordonouri O, Bratina N, Dovc K, Biester T, Atlas E, Phillip M. Comparison of Insulin Dose Adjustments Made by Artificial Intelligence-Based Decision Support Systems and by Physicians in People with Type 1 Diabetes Using Multiple Daily Injections Therapy. Diabetes Technol Ther 2022; 24:564-572. [PMID: 35325567 DOI: 10.1089/dia.2021.0566] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objective: Artificial intelligence-based decision support systems (DSS) need to provide decisions that are not inferior to those given by experts in the field. Recommended insulin dose adjustments on the same individual data set were compared among multinational physicians, and with recommendations made by automated Endo.Digital DSS (ED-DSS). Research Design and Methods: This was a noninterventional study surveying 20 physicians from multinational academic centers. The survey included 17 data cases of individuals with type 1 diabetes who are treated with multiple daily insulin injections. Participating physicians were asked to recommend insulin dose adjustments based on glucose and insulin data. Insulin dose adjustments recommendations were compared among physicians and with the automated ED-DSS. The primary endpoints were the percentage of comparison points for which there was agreement on the trend of insulin dose adjustments. Results: The proportion of agreement and disagreement in the direction of insulin dose adjustment among physicians was statistically noninferior to the proportion of agreement and disagreement observed between ED-DSS and physicians for basal rate, carbohydrate-to insulin ratio, and correction factor (P < 0.001 and P ≤ 0.004 for all three parameters for agreement and disagreement, respectively). The ED-DSS magnitude of insulin dose change was consistently lower than that proposed by the physicians. Conclusions: Recommendations for insulin dose adjustments made by automatization did not differ significantly from recommendations given by expert physicians regarding the direction of change. These results highlight the potential utilization of ED-DSS as a useful clinical tool to manage insulin titration and dose adjustments.
Collapse
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
- Sackler Faculty of Medicine, Tel Aviv University, Tel Hashomer, Israel
| | - Amir Tirosh
- Sackler Faculty of Medicine, Tel Aviv University, Tel Hashomer, Israel
- Division of Endocrinology, Diabetes and Metabolism, Dalia and David Arabov Endocrinology and Diabetes Research Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Ido Muller
- DreaMed Diabetes Ltd., Petah Tikva, Israel
| | | | - Ivana Kraljevic
- Department of Endocrinology and Diabetes, UHC Zagreb, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Montserrat Martín Alonso
- Department of Pediatrics, Children's Endocrinology Unit, University Hospital of Salamanca, Spain
| | - Tanja Milicic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Banshi Saboo
- Dia Care Diabetes Care and Hormone Clinic, Ahmedabad, Gujarat, India
| | - Asma Deeb
- Pediatric Endocrine Division, Sheikh Shakhbout Medical City and Khalifa University, Abu Dhabi, United Arab Emirates
| | - Athanasios Christoforidis
- 1st Pediatric Department, Aristotle University of Thessaloniki, Hippokratio General Hospital, Thessaloniki, Greece
| | - Marieke den Brinker
- Division of Pediatric Endocrinology and Diabetology, Department of Pediatrics, Antwerp University Hospital and University of Antwerp, Antwerpen, Belgium
| | - Lutgarda Bozzetto
- Department of Clinical Medicine and Surgery, University of Naples "Federico II," Naples, Italy
| | | | - Michal Krcma
- Diabetes and Endocrinology Unit, Department of Internal Medicine, University Hospital Pilsen, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Rosa Anna Rabini
- Department of Diabetology, Hospital Mazzoni, Ascoli Piceno, Italy
| | - Shadi Tabba
- Department of Pediatric Endocrinology, Arnold Palmer Hospital for Children, Orlando, Florida, USA
| | | | - Giulio Maltoni
- Unit of Pediatrics, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Elisa Giani
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Idit Dotan
- Sackler Faculty of Medicine, Tel Aviv University, Tel Hashomer, Israel
- Rabin Medical Center, Institute of Endocrinology, Beilinson Hospital, Petach Tikva, Israel
| | - Idit F Liberty
- Department of Medicine and Diabetes Unit, Soroka Medical Center, Faculty of Health Sciences, Beer Sheva, Israel
| | - Yoel Toledano
- Division of Maternal Fetal Medicine, Helen Schneider Women's Hospital, Rabin Medical Center, Endocrinology Clinic, Petah Tikva, Israel
| | - Olga Kordonouri
- Diabetes Center for Children and Adolescents, Children's Hospital AUF DER BULT, Hannover, Germany
| | - Natasa Bratina
- Department of Endocrinology, Diabetes and Metabolic Diseases, UMC-University Children's Hospital Ljubljana, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Klemen Dovc
- Department of Endocrinology, Diabetes and Metabolic Diseases, UMC-University Children's Hospital Ljubljana, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Torben Biester
- Diabetes Center for Children and Adolescents, Children's Hospital AUF DER BULT, Hannover, Germany
| | - Eran Atlas
- DreaMed Diabetes Ltd., Petah Tikva, 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 Hashomer, Israel
| |
Collapse
|
128
|
Vencio S, Caiado-Vencio R, Caixeta LF, Masierek M, Mlynarski W, Drzewoski J, Gregory JM. A randomized pharmacokinetic and pharmacodynamic trial of two regular human insulins demonstrates bioequivalence in type 1 diabetes and availability of biosimilar insulin may improve access to this medication. Diabetes Obes Metab 2022; 24:1544-1552. [PMID: 35441466 PMCID: PMC10146588 DOI: 10.1111/dom.14724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 04/14/2022] [Accepted: 04/18/2022] [Indexed: 11/30/2022]
Abstract
AIMS To compare the pharmacokinetic (PK) and pharmacodynamic (PD) effects and safety of therapeutic dosages of a regular insulin (experimental drug) produced by Bioton S.A. (Warsaw, Poland) versus Humulin® R, a regular insulin (reference drug) produced by Eli Lilly (Indianapolis, Indiana). MATERIALS AND METHODS In a single-centre, randomized, double-blinded phase 1 crossover study, we used the manual euglycaemic clamp technique to compare PK and PD profiles between single subcutaneous doses (0.3 units/kg) of the two regular insulins in participants with type 1 diabetes (T1DM) with a washout period of 14 (± 7) days between tests. RESULTS We evaluated 56 participants. The mean participant age and body mass index were 32.9 years and 22.9 kg/m2 , respectively. The ratios (experimental/reference) of the geometric means of maximum plasma insulin concentration and for plasma insulin area under the curve (AUC) were 0.909 (90% confidence interval [CI] 0.822-1.01) and 0.993 (90% CI 0.944-1.04), respectively. The ratios of the geometric means of maximum glucose infusion rate (GIR) and for GIR AUC were 0.999 (95% CI 0.912-1.09) and 1.04 (95% CI 0.962-1.12), respectively. CONCLUSIONS The experimental product regular human insulin and comparator Humulin® R are bioequivalent in patients with T1DM. Wider entry to the pharmaceutical market of affordable, biosimilar regular insulins may substantially improve access to insulin for many socioeconomically disadvantaged patients with diabetes.
Collapse
Affiliation(s)
- Sérgio Vencio
- UFG - Federal University of Goiás, Aparecida de Goiania, Brazil
- ICF - Institute of Pharmaceutical Sciences, Aparecida de Goiania, Brazil
| | | | | | | | | | | | | |
Collapse
|
129
|
Abiru N, Shoji S, Kosakai Y, Snijder R, Asakawa K, Rokuda M. Demographic and clinical characteristics of patients with type 1 diabetes mellitus initiating sodium-glucose cotransporter 2 inhibitors in Japan: A real-world administrative database analysis. Diabetes Res Clin Pract 2022; 190:109973. [PMID: 35760156 DOI: 10.1016/j.diabres.2022.109973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/10/2022] [Accepted: 06/20/2022] [Indexed: 11/03/2022]
Abstract
AIMS To investigate the baseline demographic and clinical characteristics of patients with type 1 diabetes mellitus (T1DM) newly treated with a sodium-glucose cotransporter 2 inhibitor (SGLT2i) as an add-on to insulin, or treated with insulin alone or in combination with oral anti-diabetic drugs other than an SGLT2i. METHODS Retrospective study using data from the JMDC database (December 21, 2018, to October 31, 2020). Included patients with T1DM treated with an SGLT2i (add-on to insulin) (n = 1027) or with insulin (n = 4320). Baseline demographic and clinical characteristics were summarized, and change in insulin dose and efficacy outcomes, including hemoglobin A1c (HbA1c) and body mass index (BMI), before and after the first SGLT2i or insulin prescription were evaluated. RESULTS The SGLT2i add-on group had higher HbA1c and BMI than the insulin group. Daily insulin doses decreased from immediately before to after the first SGLT2i prescription. HbA1c and BMI improved from baseline to after the first SGLT2i prescription. CONCLUSIONS This large real-world study reported the baseline demographic and clinical characteristics of patients with T1DM newly treated with an SGLT2i in Japan. The findings may guide the appropriate use of SGLT2i and support large-scale database studies in T1DM research.
Collapse
Affiliation(s)
- Norio Abiru
- Department of Endocrinology and Metabolism, Nagasaki University Graduate School of Biomedical Science, 1-7-1 Sakamoto, Nagasaki 852-8501, Japan.
| | - Shingo Shoji
- Medical Affairs, Astellas Pharma Inc., 2-5-1, Nihonbashi-Honcho, Chuo-ku, Tokyo 103-8411, Japan.
| | - Yoshinori Kosakai
- Medical Affairs, Astellas Pharma Inc., 2-5-1, Nihonbashi-Honcho, Chuo-ku, Tokyo 103-8411, Japan.
| | - Robert Snijder
- Advanced Informatics & Analytics, Astellas Pharma Europe B.V, Sylviusweg 62, 2333 BE Leiden, The Netherlands.
| | - Keiko Asakawa
- Medical Affairs, Astellas Pharma Inc., 2-5-1, Nihonbashi-Honcho, Chuo-ku, Tokyo 103-8411, Japan.
| | - Mitsuhiro Rokuda
- Medical Affairs, Astellas Pharma Inc., 2-5-1, Nihonbashi-Honcho, Chuo-ku, Tokyo 103-8411, Japan.
| |
Collapse
|
130
|
Polonsky WH, Hood KK, Levy CJ, MacLeish SA, Hirsch IB, Brown SA, Bode BW, Carlson AL, Shah VN, Weinstock RS, Bhargava A, Jones TC, Aleppo G, Mehta SN, Laffel LM, Forlenza GP, Sherr JL, Huyett LM, Vienneau TE, Ly TT. How introduction of automated insulin delivery systems may influence psychosocial outcomes in adults with type 1 diabetes: Findings from the first investigation with the Omnipod® 5 System. Diabetes Res Clin Pract 2022; 190:109998. [PMID: 35853530 PMCID: PMC10901155 DOI: 10.1016/j.diabres.2022.109998] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/28/2022] [Accepted: 07/14/2022] [Indexed: 11/28/2022]
Abstract
AIMS To evaluate psychosocial outcomes for adults with type 1 diabetes (T1D) using the tubeless Omnipod® 5 Automated Insulin Delivery (AID) System. METHODS A single-arm, multicenter (across the United States), prospective safety and efficacy study of the tubeless AID system included 115 adults with T1D. Participants aged 18-70 years completed questionnaires assessing psychosocial outcomes - diabetes distress (T1-DDS), hypoglycemic confidence (HCS), well-being (WHO-5), sleep quality (PSQI), insulin delivery satisfaction (IDSS), diabetes treatment satisfaction (DTSQ), and system usability (SUS) - before and after 3 months of AID use. Associations among participant characteristics, psychosocial measures and glycemic outcomes were evaluated using linear regression analyses. RESULTS Adults using the tubeless AID system demonstrated improvements in diabetes-specific psychosocial measures, including diabetes distress, hypoglycemic confidence, insulin delivery satisfaction, diabetes treatment satisfaction, and system usability after 3 months (all P < 0.001). No changes in general well-being or sleep quality were observed. The psychosocial outcomes assessed were not consistently associated with baseline participant characteristics (i.e., age, sex, diabetes duration, glycemic outcomes including percent time in range 70-180 mg/dL, percent time below range < 70 mg/dL, hemoglobin A1c, or insulin regimen). CONCLUSIONS Use of the Omnipod 5 AID system was associated with significant improvements in diabetes-related psychosocial outcomes for adults with T1D. CLINICAL TRIALS REGISTRATION NUMBER NCT04196140.
Collapse
Affiliation(s)
- William H Polonsky
- Behavioral Diabetes Institute, 5230 Carrol Canyon Road Ste 208, San Diego, CA 92121, United States; University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, United States
| | - Korey K Hood
- Department of Pediatrics, Psychiatry & Behavioral Sciences, Stanford Diabetes Research Center, Stanford University School of Medicine, 279 Campus Drive, B300, Stanford, CA 94305, United States
| | - Carol J Levy
- Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, United States
| | - Sarah A MacLeish
- University Hospitals Cleveland Medical Center, Rainbow Babies and Children's Hospital, 11100 Euclid Ave, Cleveland, OH 44106, United States
| | - Irl B Hirsch
- Department of Medicine, University of Washington, 750 Republican Street, Building F, Floor 3, Seattle, WA 98109, United States
| | - Sue A Brown
- Division of Endocrinology, Center for Diabetes Technology, University of Virginia, 560 Ray C Hunt Dr, Charlottesville, VA 22903, United States
| | - Bruce W Bode
- Atlanta Diabetes Associates, 1800 Howell Mill Rd #450, Atlanta, GA 30318, United States
| | - Anders L Carlson
- International Diabetes Center, Park Nicollet, HealthPartners, 3800 Park Nicollet Blvd, Minneapolis, MN 55415, United States
| | - Viral N Shah
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, 1775 Aurora Ct #A140, Aurora, CO 80045, United States
| | - Ruth S Weinstock
- Department of Medicine, SUNY Upstate Medical University, 750 E Adams St, Syracuse, NY 13210, United States
| | - Anuj Bhargava
- Iowa Diabetes Research, 1031 Office Park Rd Suite #2, West Des Moines, IA 50265, United States
| | - Thomas C Jones
- Department of Research, East Coast Institute for Research at The Jones Center, 265 Sheraton Blvd, Macon, GA 31210, United States
| | - Grazia Aleppo
- Feinberg School of Medicine, Northwestern University, 645 N Michigan Ave Ste 530, Chicago, IL 60611, United States
| | - Sanjeev N Mehta
- Joslin Diabetes Center, Harvard Medical School, One Joslin Place, Boston, MA 02215, United States
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, One Joslin Place, Boston, MA 02215, United States
| | - Gregory P Forlenza
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, 1775 Aurora Ct #A140, Aurora, CO 80045, United States
| | - Jennifer L Sherr
- Department of Pediatrics, Yale School of Medicine, 333 Cedar St, New Haven, CT 06510, United States
| | - Lauren M Huyett
- Insulet Corporation, 100 Nagog Park, Acton, MA 01720, United States
| | - Todd E Vienneau
- Insulet Corporation, 100 Nagog Park, Acton, MA 01720, United States
| | - Trang T Ly
- Insulet Corporation, 100 Nagog Park, Acton, MA 01720, United States.
| |
Collapse
|
131
|
Klein KR, Boeder SC, R. Freeman JL, Dunn I, Dvergsten C, Madduri S, Giovannetti ER, Valcarce C, Buse JB, Pettus JH. Impact of the hepatoselective glucokinase activator TTP399 on ketoacidosis during insulin withdrawal in people with type 1 diabetes. Diabetes Obes Metab 2022; 24:1439-1447. [PMID: 35661378 PMCID: PMC9262835 DOI: 10.1111/dom.14697] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/08/2022] [Accepted: 03/12/2022] [Indexed: 11/28/2022]
Abstract
AIMS To determine the effect of TTP399, a hepatoselective glucokinase activator, on the risk of ketoacidosis during insulin withdrawal in individuals with type 1 diabetes (T1D). MATERIALS AND METHODS Twenty-three participants with T1D using insulin pump therapy were randomized to 800 mg TTP399 (n = 12) or placebo (n = 11) for 7 to 10 days. After the treatment period, an insulin withdrawal test (IWT) was performed, during which insulin pumps were removed to induce ketogenesis. The IWT was stopped after 10 hours or if blood glucose reached >399 mg/dL [22.1 mmol/L], if beta-hydroxybutyrate (BHB) was >3.0 mmol/L, or for patient discomfort. The primary endpoint was the proportion of participants who reached BHB concentrations of 1 mmol/L or greater. RESULTS During the 7- to 10-day treatment period, mean fasting plasma glucose was significantly reduced ( -27.6 vs. -4.4 mg/dL [-1.5 vs. -0.2 mmol/L]; P = 0.03) and there were fewer adverse events, including hypoglycaemia, in the TTP399-treated arm. During the IWT, no differences were observed between TTP399 and placebo in mean serum BHB concentration, mean duration of IWT, or BHB at termination of IWT. However, serum bicarbonate was numerically higher and urine acetoacetate was quantitatively lower in the TTP399-treated participants. As a result of higher bicarbonate values, none of the TTP399-treated participants met the prespecified criteria for diabetic ketoacidosis (DKA), defined as BHB >3 mmol/L and serum bicarbonate <18 mEq/L, compared to 42% of placebo-treated participants. CONCLUSIONS When used as an adjunctive therapy to insulin, TTP399 improves glycaemia without increasing hypoglycaemia in individuals with T1D. During acute insulin withdrawal, TTP399 did not increase BHB concentrations and decreased the incidence of DKA.
Collapse
Affiliation(s)
- Klara R. Klein
- Division of Endocrinology and Metabolism, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Schafer C. Boeder
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| | | | | | | | - Supradeep Madduri
- Division of Endocrinology and Metabolism, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Erin R. Giovannetti
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| | | | - John B. Buse
- Division of Endocrinology and Metabolism, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Jeremy H. Pettus
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| |
Collapse
|
132
|
Zolla L, Grande G, Milardi D. Plasma Metabonomics in Insulin-Resistant Hypogonadic Patients Induced by Testosterone Treatment. Int J Mol Sci 2022; 23:ijms23147754. [PMID: 35887101 PMCID: PMC9324383 DOI: 10.3390/ijms23147754] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 07/06/2022] [Accepted: 07/12/2022] [Indexed: 01/23/2023] Open
Abstract
Hypogonadic subjects with insulin resistance (IR) showed different metabonomic profiles compared to normo-insulinemic subjects (IS). Testosterone replacement therapy (TRT) may have a different impact on the metabolisms of those with the presence or absence of insulin resistance. We evaluated the changes in the metabolism of IR hypogonadic patients before and after 60 days of TRT. The metabonomic plasma profiles from 20 IR hypogonadal patients were recorded using ultra-high-performance liquid chromatography (UHPLC) and high-resolution mass spectrometry (HRMS). Plasma metabolites, before and after 60 days of TRT, were compared. In hypogonadic patients, carnosine, which is important for improving performance during exercise, increased. Conversely, proline and lysine—amino acids involved in the synthesis of collagen—reduced. Triglycerides decreased and fatty acids (FFAs) increased in the blood as a consequence of reduced FFA β-oxidation. Glycolysis slightly improved, while the Krebs cycle was not activated. Gluconeogenesis (which is the main energy source for hypogonadal IR before TRT) stopped after treatment. As a consequence, lactate and acetyl CoA increased significantly. Both lactate and acetyl CoA were metabolized into ketone bodies which increased greatly, also due to leucine/isoleucine degradation. Ketone bodies were derived predominantly from acetyl CoA because the reaction of acetyl CoA into ketone bodies is catalyzed by mtHMGCoA synthase. This enzyme is inhibited by insulin, which is absent in IR patients but overexpressed following testosterone administration. Ketosis is an alternative route for energy supply and provides the same metabolic effects as insulin but at the metabolic or primitive control level, which bypasses the complex signaling pathway of insulin. After treatment, the hypogonadic patients showed clinical symptoms related to ketonuria. They presented similarly to those following a ketogenic diet, the so-called ‘keto flu’. This must be taken into account before the administration of TRT to hypogonadic patients.
Collapse
Affiliation(s)
- Lello Zolla
- University of Tuscia, 01100 Viterbo, Italy
- Correspondence: ; Tel.: +39-0761-357100
| | - Giuseppe Grande
- Unit of Andrology and Reproductive Medicine, University of Padua, 35122 Padua, Italy;
| | - Domenico Milardi
- Division of Endocrinology, Fondazione Policlinico Gemelli, IRCCS, 00168 Rome, Italy;
- International Scientific Institute, “Paul VI”-Fondazione Policlinico Gemelli, IRCCS, 00168 Rome, Italy
| |
Collapse
|
133
|
von dem Berge T, Remus K, Biester S, Reschke F, Klusmeier B, Adolph K, Holtdirk A, Thomas A, Kordonouri O, Danne T, Biester T. In-home use of a hybrid closed loop achieves time-in-range targets in preschoolers and school children: Results from a randomized, controlled, crossover trial. Diabetes Obes Metab 2022; 24:1319-1327. [PMID: 35373894 DOI: 10.1111/dom.14706] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/10/2022] [Accepted: 03/30/2022] [Indexed: 12/15/2022]
Abstract
AIM To obtain additional information on the incremental differences between using a sensor-augmented pump (SAP) without automated insulin delivery (AID), using it with predictive low-glucose management (PLGM) or as hybrid closed loop (HCL), in preschool and school children. METHODS We conducted a monocentric, randomized, controlled, two-phase crossover study in 38 children aged 2-6 and 7-14 years. The primary endpoint was the percentage of time in range (TIR) of 70-180 mg/dl. Other continuous glucose sensor metrics, HbA1c, patient-related outcomes (DISABKIDS questionnaire, Fear of Hypoglycaemia Survey) and safety events were also assessed. Results from 2 weeks of SAP, 8 weeks of PLGM and 8 weeks of HCL were compared using a paired t-test or Wilcoxon signed-rank test. RESULTS Overall, we found a high rate of TIR target (>70%) achievement with HCL in preschool (88%) and school children (50%), with average times in Auto Mode of 93% and 87%, respectively. Preschool children achieved a mean TIR of 73% ± 6% (+8% vs. SAP, +6% vs. PLGM) and school children 69% ± 8% (+15% vs. SAP and + 14% vs. PLGM). Overall, HbA1c improved from 7.4% ± 0.9% to 6.9% ± 0.5% (P = .0002). Diabetes burden and worries and fear of hypoglycaemia remained at low levels, without significant changes versus PLGM. No events of severe hypoglycaemia or diabetic ketoacidosis occurred. CONCLUSIONS Preschool children profit from AID at least as much as those aged 7 years and older. To ensure safe use and prescribing modalities, regulatory approval is also required for young children.
Collapse
Affiliation(s)
| | - Kerstin Remus
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Sarah Biester
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Felix Reschke
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | | | - Kerstin Adolph
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | | | | | - Olga Kordonouri
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Thomas Danne
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Torben Biester
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| |
Collapse
|
134
|
Visser MM, Mathieu C, Gillard P. Diabetic Ketoacidosis After Sodium-Glucose Cotransporter Inhibitor Initiation Under Advanced Hybrid Closed-Loop Therapy in Type 1 Diabetes. Diabetes Technol Ther 2022; 24:516-519. [PMID: 35156849 DOI: 10.1089/dia.2021.0553] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Sodium-glucose cotransporter inhibitor (SGLTi) use is not uncommon in type 1 diabetes (T1D). Not much is known about possible risks or benefits when combining SGLTi with advanced hybrid closed-loop (aHCL). This report describes in detail the daily insulin dosing by the MiniMed™ 780G algorithm in a patient with T1D after SGLTi initiation leading to diabetic ketoacidosis (DKA). Within a few days after start of SGLTi, the aHCL algorithm reduced autobasal and autocorrection doses, whereas meal bolus insulin doses were reduced mainly due to frequent activation of the "safe meal bolus." Taken together, there was a significant 49% reduction in total daily insulin dose after start of SGLTi, leading to insulin doses below the minimum needed to prevent ketone formation. Until more is known about the influence of SGLTi on aHCL algorithm functioning, we recommend caution with SGLTi use in people with T1D on aHCL systems to avoid increased DKA risk.
Collapse
Affiliation(s)
- Margaretha M Visser
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| |
Collapse
|
135
|
Ozaslan B, Levy CJ, Kudva YC, Pinsker JE, O'Malley G, Kaur RJ, Castorino K, Levister C, Trinidad MC, Desjardins D, Church MM, Plesser M, McCrady-Spitzer S, Ogyaadu S, Nelson K, Reid C, Deshpande S, Kremers WK, Doyle FJ, Rosenn B, Dassau E. Feasibility of Closed-Loop Insulin Delivery with a Pregnancy-Specific Zone Model Predictive Control Algorithm. Diabetes Technol Ther 2022; 24:471-480. [PMID: 35230138 PMCID: PMC9464083 DOI: 10.1089/dia.2021.0521] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Objective: Evaluating the feasibility of closed-loop insulin delivery with a zone model predictive control (zone-MPC) algorithm designed for pregnancy complicated by type 1 diabetes (T1D). Research Design and Methods: Pregnant women with T1D from 14 to 32 weeks gestation already using continuous glucose monitor (CGM) augmented pump therapy were enrolled in a 2-day multicenter supervised outpatient study evaluating pregnancy-specific zone-MPC based closed-loop control (CLC) with the interoperable artificial pancreas system (iAPS) running on an unlocked smartphone. Meals and activities were unrestricted. The primary outcome was the CGM percentage of time between 63 and 140 mg/dL compared with participants' 1-week run-in period. Early (2-h) postprandial glucose control was also evaluated. Results: Eleven participants completed the study (age: 30.6 ± 4.1 years; gestational age: 20.7 ± 3.5 weeks; weight: 76.5 ± 15.3 kg; hemoglobin A1c: 5.6% ± 0.5% at enrollment). No serious adverse events occurred. Compared with the 1-week run-in, there was an increased percentage of time in 63-140 mg/dL during supervised CLC (CLC: 81.5%, run-in: 64%, P = 0.007) with less time >140 mg/dL (CLC: 16.5%, run-in: 30.8%, P = 0.029) and time <63 mg/dL (CLC: 2.0%, run-in:5.2%, P = 0.039). There was also less time <54 mg/dL (CLC: 0.7%, run-in:1.6%, P = 0.030) and >180 mg/dL (CLC: 4.9%, run-in: 13.1%, P = 0.032). Overnight glucose control was comparable, except for less time >250 mg/dL (CLC: 0%, run-in:3.9%, P = 0.030) and lower glucose standard deviation (CLC: 23.8 mg/dL, run-in:42.8 mg/dL, P = 0.007) during CLC. Conclusion: In this pilot study, use of the pregnancy-specific zone-MPC was feasible in pregnant women with T1D. Although the duration of our study was short and the number of participants was small, our findings add to the limited data available on the use of CLC systems during pregnancy (NCT04492566).
Collapse
Affiliation(s)
- Basak Ozaslan
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | - Carol J. Levy
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Grenye O'Malley
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Camilla Levister
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Mei Mei Church
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | - Mitchell Plesser
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Selassie Ogyaadu
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kristen Nelson
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | | | - Sunil Deshpande
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | | | - Francis J. Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA
| | - Barak Rosenn
- Robert Wood Johnson Barnabas Health, New Brunswick, New Jersey, USA
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA
| |
Collapse
|
136
|
Abstract
Background: Use of sodium-glucose cotransporter 2 inhibitors (SGLT2i) as adjunct therapy to insulin in type 1 diabetes (T1D) has been previously studied. In this study, we present data from the first free-living trial combining low-dose SGLT2i with commercial automated insulin delivery (AID) or predictive low glucose suspend (PLGS) systems. Methods: In an 8-week, randomized, controlled crossover trial, adults with T1D received 5 mg/day empagliflozin (EMPA) or no drug (NOEMPA) as adjunct to insulin therapy. Participants were also randomized to sequential orders of AID (Control-IQ) and PLGS (Basal-IQ) systems for 4 and 2 weeks, respectively. The primary endpoint was percent time-in-range (TIR) 70-180 mg/dL during daytime (7:00-23:00 h) while on AID (NCT04201496). Findings: A total of 39 subjects were enrolled, 35 were randomized, 34 (EMPA; n = 18 and NOEMPA n = 16) were analyzed according to the intention-to-treat principle, and 32 (EMPA; n = 16 and NOEMPA n = 16) completed the trial. On AID, EMPA versus NOEMPA had higher daytime TIR 81% versus 71% with a mean estimated difference of +9.9% (confidence interval [95% CI] 0.6-19.1); p = 0.04. On PLGS, the EMPA versus NOEMPA daytime TIR was 80% versus 63%, mean estimated difference of +16.5% (95% CI 7.3-25.7); p < 0.001. One subject on SGLT2i and AID had one episode of diabetic ketoacidosis with nonfunctioning insulin pump infusion site occlusion contributory. Interpretation: In an 8-week outpatient study, addition of 5 mg daily empagliflozin to commercially available AID or PLGS systems significantly improved daytime glucose control in individuals with T1D, without increased hypoglycemia risk. However, the risk of ketosis and ketoacidosis remains. Therefore, future studies with SGLT2i will need modifications to closed-loop control algorithms to enhance safety.
Collapse
Affiliation(s)
- Jose Garcia-Tirado
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Leon Farhy
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
- Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Ralf Nass
- Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Laura Kollar
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Mary Clancy-Oliveri
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Rita Basu
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
- Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Boris Kovatchev
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Ananda Basu
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
- Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA
- Address correspondence to: Ananda Basu, MD, Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| |
Collapse
|
137
|
Szmuilowicz ED, Aleppo G. Combination Use of U-500 Regular Insulin via Insulin Pump and Rapid-Acting U-100 Prandial Injections for Treatment of Pre-Existing Type 2 Diabetes in Pregnancy. Diabetes Technol Ther 2022; 24:525-530. [PMID: 35167366 DOI: 10.1089/dia.2022.0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
The high-dose large-volume insulin injections that may become necessary during pregnancy due to marked pregnancy-induced insulin resistance may result in suboptimal therapeutic effectiveness. Use of U-500 insulin, a concentrated insulin formulation, has been suggested during pregnancy. However, the pharmacokinetic properties of U-500 insulin monotherapy can impede achievement of strict pregnancy glycemic targets. We propose a novel regimen for treatment of severe pregnancy-induced insulin resistance that enables precise delivery of U-500 basal insulin therapy through continuous subcutaneous insulin infusion (CSII) while maintaining the desired kinetics of prandial rapid-acting U-100 insulin therapy. This combination approach, guided by continuous glucose monitoring data, enabled achievement of pregnancy glycemic targets while reducing basal insulin requirements by approximately one-third. We report our method for (1) conversion to U-500 insulin delivery through CSII during pregnancy and (2) conversion from U-500 basal insulin delivery through CSII to U-100 intravenous insulin infusion therapy at delivery, to offer clinicians who encounter similar challenging scenarios a novel approach to diabetes management during pregnancy in the setting of marked insulin resistance.
Collapse
Affiliation(s)
- Emily D Szmuilowicz
- Division of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| |
Collapse
|
138
|
Chefik FH, Tadesse TA, Quisido BJE, Roba AE. Adherence to insulin therapy and associated factors among type 1 and type 2 diabetic patients on follow up in Madda Walabu University Goba Referral Hospital, South East Ethiopia. PLoS One 2022; 17:e0269919. [PMID: 35704654 PMCID: PMC9200331 DOI: 10.1371/journal.pone.0269919] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 05/31/2022] [Indexed: 11/18/2022] Open
Abstract
Background
Non-adherence to insulin therapy is a major global public health issue that has a causal relationship with increased diabetic complications that leads to further increase in the health care cost. However, adherence to insulin therapy and associated factors among diabetic mellitus (DM) patients are still not studied adequately in Ethiopia.
Objective
To assess the adherence to insulin therapy and associated factors among type 1 and type 2 diabetic patients on follow-up at Madda Walabu University—Goba Referral Hospital, South East Ethiopia.
Method
An institution-based, cross-sectional study was employed among 311 both type 1 and type 2 diabetic patients, Madda Walabu University—Goba Referral Hospital from March 4 to April 30, 2020. Study participants were recruited with simple random sampling method. Adherence to insulin therapy was measured by 8-item Morisky medication adherence scale. Therefore from these 8-items, those who score 6 or more are considered as adherent to insulin therapy. The data were collected through interviewer administered questionnaires by trained graduating class nurse students. The data were entered to Epidata version 3.1, and analyzed with SPSS version 25. Bivariate and multivariable logistic regression analyses were used to identify factors associated with adherence to insulin therapy. Statistical significance were declared at p <0.05.
Result
A total of 311 patients participate in the study with response rate of 100%. Among these only 38.9% of them were adherent to insulin therapy with a CI of [33.5, 44.3]. Having glucometer (AOR = 3.88; 95% CI [1.46, 10.35]), regular hospital follow-up (AOR = 3.13; 95% CI [1.12, 8.70]), being knowledgeable (AOR = 3.36; 95% CI [1.53, 7.37]), and favorable attitudes (AOR = 4.55; 95%CI [1.68, 12.34]) were the factor associated with adherence to insulin therapy.
Conclusion
This study concluded that adherence to insulin therapy was low in the study area. Having glucometer, regular hospital follow-up, being knowledgeable, and favorable attitudes were the factor associated with adherence to insulin therapy. Attention should be paid to help diabetic patients on acquiring knowledge regarding the need of consistent adherence to insulin therapy and its complications.
Collapse
Affiliation(s)
- Feleke Hailu Chefik
- Department of Nursing, School of Health Science, Goba Referral Hospital, Madda Walabu University, Bale Goba, Ethiopia
- * E-mail:
| | - Tesfaye Assefa Tadesse
- Department of Nursing, School of Health Science, Goba Referral Hospital, Madda Walabu University, Bale Goba, Ethiopia
| | - Bruce John Edward Quisido
- Department of Nursing, School of Health Science, Goba Referral Hospital, Madda Walabu University, Bale Goba, Ethiopia
| | - Adem Esmael Roba
- Department of Nursing, School of Health Science, Goba Referral Hospital, Madda Walabu University, Bale Goba, Ethiopia
| |
Collapse
|
139
|
Suttiratana SC, Wong JJ, Lanning MS, Dunlap A, Hanes SJ, Hood KK, Lal RA, Naranjo D. Qualitative Study of User Experiences with Loop, an Open-Source Automated Insulin Delivery System. Diabetes Technol Ther 2022; 24:416-423. [PMID: 35099278 PMCID: PMC9208860 DOI: 10.1089/dia.2021.0485] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Background: Loop is an open-source automated insulin delivery (AID) system, used by more than 9,000 people with type 1 diabetes. Understanding the pros and cons of Loop use may help improve disease management and support population level innovation. Methods: Focus groups revealed 72 new and existing users' perspectives on Loop uptake, use, and persistence. A subsample of participants from a mixed-methods, observational cohort study shared first-hand accounts of their experiences using Loop. Participants were predominately white (95%), male (50%), privately insured (94%), and reported annual household income ≥$100K (73%) and education exceeding a bachelor's degree (87%) with a mean HbA1c of 6.6% ± 0.8%. Data were analyzed and synthesized by a multidisciplinary team. Results: Participants detailed their experiences with (1) Loop technical support and troubleshooting, (2) decreased mental/behavioral burden, (3) technical issues with parts of the system, (4) glycemic control, (5) personalizing settings, and (6) providers while using Loop. Decreased burden was the most endorsed benefit defined by less worry, stress, and cognitive effort and less time spent on diabetes management tasks. Participants highlighted the benefits of Loop overnight and their introduction to "Loop communities" during use. The most discussed challenges involved technical issues. A range of provider attitudes and knowledge about Loop complicated users' clinical experiences and disclosure. Conclusions: This sample of new and experienced Loop users reported benefits to quality of life and glycemic control that outweighed challenges of setting up system components, customizing the system to suit one's lifestyle and habits, and adjusting system settings. Challenges related to system setup and calibrating settings are remediable and, if addressed, may better serve Loop users. Users reported feeling empowered by the customizability of and the educational effects facilitated by the open-source AID system. Loop helped users learn more about their chronic illness and physiology in an acceptable format. Clinical Trial Registration number: NCT03838900.
Collapse
Affiliation(s)
- Sakinah C. Suttiratana
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
- Address correspondence to: Sakinah C. Suttiratana, PhD, MPH, MBA, Department of Chronic Disease Epidemiology, Yale School of Public Health, 60 College Street, New Haven, CT 06510, USA
| | - Jessie J. Wong
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Monica S. Lanning
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Adrienne Dunlap
- Division of Agriculture, Food, and Environment, Tufts University, Friedman School of Nutrition Science and Policy, Medford, Massachusetts, USA
| | - Sarah J. Hanes
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Korey K. Hood
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center (SDRC), Stanford University School of Medicine, Stanford, California, USA
| | - Rayhan A. Lal
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center (SDRC), Stanford University School of Medicine, Stanford, California, USA
- Division of Endocrinology, Department of Medicine, Gerontology, and Metabolism, Stanford University School of Medicine, Stanford, California, USA
| | - Diana Naranjo
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center (SDRC), Stanford University School of Medicine, Stanford, California, USA
| |
Collapse
|
140
|
Sheehan A, Goldfine A, Bajwa M, Wolfs D, Kozuka C, Piper J, Fowler K, Patti ME. Pramlintide for post-bariatric hypoglycaemia. Diabetes Obes Metab 2022; 24:1021-1028. [PMID: 35137513 PMCID: PMC9035096 DOI: 10.1111/dom.14665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/27/2022] [Accepted: 02/06/2022] [Indexed: 11/27/2022]
Abstract
AIMS The aim of this study was to examine the hypothesis that pramlintide would reduce hypoglycaemia by slowing gastric emptying and reducing postprandial glucagon secretion, thus limiting postprandial glycaemic excursions and insulin secretion, and thus to determine the efficacy of pramlintide on frequency and severity of hypoglycaemia in post-bariatric hypoglycaemia (PBH). MATERIALS AND METHODS Participants with PBH following gastric bypass were recruited from outpatient clinics at the Joslin Diabetes Center, Boston, Massachusetts for an open-label study of pramlintide efficacy over 8 weeks. Twenty-three participants were assessed for eligibility, 20 participants had at least one pramlintide dose, and 14 completed the study. A mixed-meal tolerance test (MMTT) was performed at baseline and after 8 weeks of subcutaneous pramlintide with a sequential dose increase to a maximum of 120 micrograms (mean 69 ± 32 mcg) three times daily. The primary endpoint was change in glucose excursions during the MMTT. Secondary measures included MMTT insulin response, satiety and dumping score, percentage time with sensor glucose (SG) <3.9 mM, and number of days with minimum SG <3 mM, during masked continuous glucose monitoring. RESULTS There were no differences in MMTT glucose, glucagon or insulin between baseline and post treatment. We observed no significant change in satiety or dumping scores. The overall frequency of low SG values did not change, although there was substantial inter-individual variability. CONCLUSIONS In PBH, pramlintide does not modulate glycaemic or insulin responses, satiety, or dumping scores during an MMTT and does not impact glycaemic excursions or decrease low SG levels in the outpatient setting.
Collapse
Affiliation(s)
- Amanda Sheehan
- Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Allison Goldfine
- Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Muhammed Bajwa
- Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Danielle Wolfs
- Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Chisayo Kozuka
- Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Jacqueline Piper
- Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Kristen Fowler
- Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Mary Elizabeth Patti
- Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
141
|
Chothia MY, Humphrey T, Schoonees A, Chikte UME, Davids MR. Hypoglycaemia due to insulin therapy for the management of hyperkalaemia in hospitalised adults: A scoping review. PLoS One 2022; 17:e0268395. [PMID: 35552566 PMCID: PMC9097985 DOI: 10.1371/journal.pone.0268395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 04/28/2022] [Indexed: 12/22/2022] Open
Abstract
Introduction Hyperkalaemia is a very common electrolyte disorder encountered in hospitalised patients. Although hypoglycaemia is a frequent complication of insulin therapy, it is often under-appreciated. We conducted a scoping review of this important complication, and of other adverse effects, of the treatment of hyperkalaemia in hospitalised adults to map existing research on this topic and to identify any knowledge gaps. Materials and methods We followed the PRISMA-ScR guidelines. Studies were eligible for inclusion if they reported on any adverse effects in hospitalised patients ≥18-years-old, with hyperkalaemia receiving treatment that included insulin. All eligible research from 1980 to 12 October 2021 were included. We searched Medline (PubMed), Embase (Ovid), the Cochrane Library, CINHAL, Africa-Wide Information, Web of Science Core Collection, LILACS and Epistemonikos. The protocol was prospectively registered with the Open Science Framework (https://osf.io/x8cs9). Results Sixty-two articles were included. The prevalence of hypoglycaemia by any definition was 17.2% (95% CI 16.6–17.8%). The median timing of hypoglycaemia was 124 minutes after insulin administration (IQR 102–168 minutes). There were no differences in the prevalence of hypoglycaemia when comparing insulin dose (<10 units vs. ≥10 units), rate of insulin administration (continuous vs. bolus), type of insulin (regular vs. short-acting) or timing of insulin administration relative to dextrose. However, lower insulin doses were associated with a reduced prevalence of severe hypoglycaemia (3.5% vs. 5.9%, P = 0.02). There was no difference regarding prevalence of hypoglycaemia by dextrose dose (≤25 g vs. >25 g); however, prevalence was lower when dextrose was administered as a continuous infusion compared with bolus administration (3.3% vs. 19.5%, P = 0.02). The most common predictor of hypoglycaemia was the pre-treatment serum glucose concentration (n = 13 studies), which ranged from < 5.6–7.8 mmol/L. Conclusion This is the first comprehensive review of the adverse effects following insulin therapy for hyperkalaemia. Hypoglycaemia remains a common adverse effect in hospitalised adults. Future randomised trials should focus on identifying the optimal regimen of insulin therapy to mitigate the risk of hypoglycaemia.
Collapse
Affiliation(s)
- Mogamat-Yazied Chothia
- Division of Nephrology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- * E-mail:
| | - Toby Humphrey
- Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Anel Schoonees
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Usuf Mohamed Ebrahim Chikte
- Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Mogamat Razeen Davids
- Division of Nephrology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| |
Collapse
|
142
|
Kaur RJ, Deshpande S, Pinsker JE, Gilliam WP, McCrady-Spitzer S, Zaniletti I, Desjardins D, Church MM, Doyle III FJ, Kremers WK, Dassau E, Kudva YC. Outpatient Randomized Crossover Automated Insulin Delivery Versus Conventional Therapy with Induced Stress Challenges. Diabetes Technol Ther 2022; 24:338-349. [PMID: 35049354 PMCID: PMC9271334 DOI: 10.1089/dia.2021.0436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Automated insulin delivery (AID) systems have not been evaluated in the context of psychological and pharmacological stress in type 1 diabetes. Our objective was to determine glycemic control and insulin use with Zone Model Predictive Control (zone-MPC) AID system enhanced for states of persistent hyperglycemia versus sensor-augmented pump (SAP) during outpatient use, including in-clinic induced stress. Materials and Methods: Randomized, crossover, 2-week trial of zone-MPC AID versus SAP in 14 adults with type 1 diabetes. In each arm, each participant was studied in-clinic with psychological stress induction (Trier Social Stress Test [TSST] and Socially Evaluated Cold Pressor Test [SECPT]), followed by pharmacological stress induction with oral hydrocortisone (total four sessions per participant). The main outcomes were 2-week continuous glucose monitor percent time in range (TIR) 70-180 mg/dL, and glucose and insulin outcomes during and overnight following stress induction. Results: During psychological stress, AID decreased glycemic variability percentage by 13.4% (P = 0.009). During pharmacological stress, including the following overnight, there were no differences in glucose outcomes and total insulin between AID and physician-assisted SAP. However, with AID total user-requested insulin was lower by 6.9 U (P = 0.01) for pharmacological stress. Stress induction was validated by changes in heart rate and salivary cortisol levels. During the 2-week AID use, TIR was 74.4% (vs. SAP 63.1%, P = 0.001) and overnight TIR was 78.3% (vs. SAP 63.1%, P = 0.004). There were no adverse events. Conclusions: Zone-MPC AID can reduce glycemic variability and the need for user-requested insulin during pharmacological stress and can improve overall glycemic outcomes. Clinical Trial Identifier NCT04142229.
Collapse
Affiliation(s)
- Ravinder Jeet Kaur
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, USA
| | - Sunil Deshpande
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | | | | | - Shelly McCrady-Spitzer
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, USA
| | - Isabella Zaniletti
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Donna Desjardins
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, USA
| | - Mei Mei Church
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | - Francis J. Doyle III
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | - Walter K. Kremers
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
| | - Yogish C. Kudva
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, USA
- Address correspondence to: Yogish C. Kudva, MBBS, Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, 200 First Street SW, Rochester MN 55902, USA
| |
Collapse
|
143
|
Levy CJ, O'Malley G, Raghinaru D, Kudva YC, Laffel LM, Pinsker JE, Lum JW, Brown SA. Insulin Delivery and Glucose Variability Throughout the Menstrual Cycle on Closed Loop Control for Women with Type 1 Diabetes. Diabetes Technol Ther 2022; 24:357-361. [PMID: 35099294 PMCID: PMC9127830 DOI: 10.1089/dia.2021.0431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Objective: To analyze insulin delivery and glycemic metrics throughout the menstrual cycle for women with type 1 diabetes using closed loop control (CLC) insulin delivery. Methods: Menstruating women using a CLC system in a clinical trial were invited to record their menstrual cycles through a cycle-tracking application. Sixteen participants provided data for this secondary analysis over three or more complete cycles. Insulin delivery and continuous glucose monitoring (CGM) data were analyzed in relation to reported cycle phases. Results: Insulin delivery and CGM metrics remained consistent during cycle phases. Intraparticipant variability of CGM metrics and weight-based insulin delivery did not change through cycle phases. Conclusions: For this sample of menstruating women with type 1 diabetes using a CLC system, insulin delivery and glycemic metrics remained stable throughout menstrual cycle phases. Additional studies in this population are needed, particularly among women who report variable glycemic control during their cycles. Trial Registration: NCT03591354.
Collapse
Affiliation(s)
- Carol J. Levy
- Deparment of Medicine, Endocrinology, Diabetes and Bone Diseases, Mount Sinai Diabetes Center, New York, New York, USA
| | - Grenye O'Malley
- Deparment of Medicine, Endocrinology, Diabetes and Bone Diseases, Mount Sinai Diabetes Center, New York, New York, USA
| | - Dan Raghinaru
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Yogish C. Kudva
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Lori M. Laffel
- Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, 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
| |
Collapse
|
144
|
Lambadiari V, Ozdemir Saltik AZ, de Portu S, Buompensiere MI, Kountouri A, Korakas E, Sharland H, Cohen O. Cost-Effectiveness Analysis of an Advanced Hybrid Closed-Loop Insulin Delivery System in People with Type 1 Diabetes in Greece. Diabetes Technol Ther 2022; 24:316-323. [PMID: 34962140 DOI: 10.1089/dia.2021.0443] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
AbstractIntroduction: Usage of automated insulin delivery systems is increasing for the treatment of people with type 1 diabetes (T1D). This study compared long-term cost-effectiveness of the Advanced Hybrid Closed Loop MiniMed 780G (AHCL) system versus sensor augmented pump (SAP) system with predictive low glucose management (PLGM) or multiple daily injections (MDI) plus intermittently scanned continuous glucose monitoring (isCGM) in people with T1D in Greece. Methods: Analyses were performed using the IQVIA CORE Diabetes Model, with clinical input data sourced from various studies. In the AHCL versus SAP plus PLGM analysis, patients were assumed to have 7.5% baseline glycated hemoglobin (HbA1c), when comparing AHCL with MDI plus isCGM baseline HbA1c was assumed to be 7.8%. HbA1c was reduced to 7.0% following AHCL treatment initiation but remained at baseline levels in the comparator arms. Analyses were performed from a societal perspective over a lifetime time horizon. Future costs and clinical outcomes were discounted at 1.5% per annum. Results: AHCL was associated with increased quality-adjusted life expectancy of 0.284 quality-adjusted life years (QALYs) and EUR 10,173 lower mean total lifetime costs with SAP plus PLGM. Compared with MDI plus isCGM, AHCL was associated with increased quality-adjusted life expectancy of 2.708 QALYs, EUR 76,396 higher mean total lifetime costs, and an incremental cost-effectiveness ratio of EUR 29,869 per QALY. Extensive sensitivity analysis confirmed the robustness of results. Conclusions: Over patient lifetime, the MiniMed 780G system is likely to be cost saving compared with the SAP plus PLGM system and cost-effective compared with MDI plus isCGM in people with T1D in Greece.
Collapse
Affiliation(s)
- Vaia Lambadiari
- Second Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | | | - Simona de Portu
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | | | - Aikaterini Kountouri
- Second Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Emmanouil Korakas
- Second Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Helen Sharland
- Ossian Health Economics and Communications, Basel, Switzerland
| | - Ohad Cohen
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| |
Collapse
|
145
|
Davis G, Bailey R, Calhoun P, Price D, Beck RW. Magnitude of Glycemic Improvement in Patients with Type 2 Diabetes Treated with Basal Insulin: Subgroup Analyses from the MOBILE Study. Diabetes Technol Ther 2022; 24:324-331. [PMID: 34962151 PMCID: PMC9127836 DOI: 10.1089/dia.2021.0489] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Objective: To determine if type 2 diabetes patients using basal insulin without prandial insulin with worse glycemic control at baseline would have the greatest benefit from using real-time continuous glucose monitoring (CGM). Methods: We conducted a post hoc analysis of the MOBILE Study, a multicenter trial examining the impact of CGM versus self-monitoring with a blood glucose meter (BGM) in patients with type 2 diabetes treated with basal insulin without prandial insulin. Participants were divided into subgroups based on baseline hemoglobin A1c (HbA1c) and baseline time-in-range 70-180 mg/dL (TIR). Change in TIR from baseline was calculated within each subgroup. Results: In subgroups based on baseline HbA1c, compared with the BGM group, the CGM group had 14% greater increase in TIR for participants with baseline HbA1c ≥8.5%, 14% greater increase for baseline HbA1c ≥9.0%, 22% greater increase for baseline HbA1c ≥9.5%, and 32% greater increase for baseline HbA1c ≥10.0% (P-value for interaction = 0.27). The time spent with glucose >250 mg/dL was significantly lower with CGM compared with BGM among participants with higher HbA1c values (P for interaction = 0.004). Results in subgroups based on baseline TIR paralleled the results in subgroups based on baseline HbA1c. Conclusion: While the benefit of CGM on TIR among patients with type 2 diabetes treated with basal insulin is apparent across the range of baseline glycemic control, the greatest impact of CGM is in those with the worst baseline glycemic control, particularly among those with HbA1c ≥10%. Clinical Trial Registration number: NCT03566693.
Collapse
Affiliation(s)
- Georgia Davis
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta, GA
| | - Ryan Bailey
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Peter Calhoun
- Jaeb Center for Health Research, Tampa, Florida, USA
- Address correspondence to: Peter Calhoun, PhD, Jaeb Center for Health Research, 15310 Amberly Drive, Suite 350, Tampa, FL 33647, USA
| | | | - Roy W. Beck
- Jaeb Center for Health Research, Tampa, Florida, USA
| |
Collapse
|
146
|
Kerr D, Edelman S, Vespasiani G, Khunti K. New digital health technologies for insulin initiation and optimization for people with type 2 diabetes. Endocr Pract 2022; 28:811-821. [PMID: 35452813 DOI: 10.1016/j.eprac.2022.04.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 03/31/2022] [Accepted: 04/11/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVE The health and economic burden of type 2 diabetes (T2D) is of global significance. Many people with T2D eventually need insulin to help reduce their risk of serious associated complications. However, barriers in initiating and/or optimizing insulin expose people with diabetes to sustained hyperglycemia. In this review, we investigate how new and future technologies may provide opportunities to help overcome barriers to insulin initiation and/or optimization. METHODS A focused literature search of PubMed and key scientific congresses was conducted. Software tools and devices developed to support insulin initiation and/or optimization were identified by manually filtering over 300 publications and conference abstracts. RESULTS Most software tools have been developed for a smartphone platform. At present, published data suggest that use of these technologies is associated with equivalent or improved glycemic outcomes compared with standard care with additional benefits such as reduced healthcare provider (HCP) time burden and improved diabetes knowledge. However, there remains a paucity of good quality evidence. Most new devices to support insulin therapy help track the dose and timing of insulin use. CONCLUSIONS New digital health tools may help to reduce barriers to optimal insulin therapy. An integrated solution that connects glucose monitoring, dose recording, titration advice, and records comorbidities and lifestyle factors has the potential to reduce the complexity and burden of treatment and may improve titration and treatment adherence, resulting in better outcomes for people with diabetes.
Collapse
Affiliation(s)
- David Kerr
- Sansum Diabetes Research Institute, Santa Barbara, California.
| | - Steven Edelman
- University of California San Diego Veterans Affairs Medical Center, San Diego, California
| | | | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, United Kingdom
| |
Collapse
|
147
|
Zhang F, Pei X, Peng X, Gou D, Fan X, Zheng X, Song C, Zhou Y, Cui S. Dual crosslinking of folic acid-modified pectin nanoparticles for enhanced oral insulin delivery. Biomater Adv 2022; 135:212746. [PMID: 35929218 DOI: 10.1016/j.bioadv.2022.212746] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 02/18/2022] [Accepted: 03/02/2022] [Indexed: 06/15/2023]
Abstract
Pectin-based drug delivery systems hold great potential for oral insulin delivery, since they possess excellent gelling property, good mucoadhesion and high stability in the gastrointestinal (GI) tract. However, lack of enterocyte targeting ability and premature drug release in the upper GI tract of the susceptible ionic-crosslinked pectin matrices are two major problems to be solved. To address these issues, we developed folic acid (FA)-modified pectin nanoparticles (INS/DFAN) as insulin delivery vehicles by a dual-crosslinking method using calcium ions and adipic dihydrazide (ADH) as crosslinkers. In vitro studies indicated insulin release behaviors of INS/DFAN depended on COOH/ADH molar ratio in the dual-crosslinking process. INS/DFAN effectively prevented premature insulin release in simulated GI fluids compared to ionic-crosslinked nanoparticles (INS/FAN). At an optimized COOH/ADH molar ratio, INS/DFAN with FA graft ratio of 18.2% exhibited a relatively small particle size, high encapsulation efficiency and excellent stability. Cellular uptake of INS/DFAN was FA graft ratio dependent when it was at/below 18.2%. Uptake mechanism and intestinal distribution studies demonstrated the enhanced insulin transepithelial transport by INS/DFAN via FA carrier-mediated transport pathway. In vivo studies revealed that orally-administered INS/DFAN produced a significant reduction in blood glucose levels and further improved insulin bioavailability in type I diabetic rats compared to INS/FAN. Taken together, the combination of dual crosslinking and FA modification is an effective strategy to develop pectin nano-vehicles for enhanced oral insulin delivery.
Collapse
Affiliation(s)
- Fenglei Zhang
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China
| | - Xuejing Pei
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China
| | - Xiaoxia Peng
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China
| | - Dongxia Gou
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China
| | - Xiao Fan
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China
| | - Xuefei Zheng
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China
| | - Chengcheng Song
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China
| | - Yifa Zhou
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China
| | - Sisi Cui
- Engineering Research Center of Glycoconjugates, Ministry of Education, Jilin Provincial Key Laboratory of Chemistry and Biology of Changbai Mountain Natural Drugs, School of Life Sciences, Northeast Normal University, Changchun 130024, China.
| |
Collapse
|
148
|
Kurozumi A, Okada Y, Mita T, Wakasugi S, Katakami N, Yoshii H, Kanda K, Nishida K, Mine S, Tanaka Y, Gosho M, Shimomura I, Watada H. Associations between continuous glucose monitoring-derived metrics and HbA1c in patients with type 2 diabetes mellitus. Diabetes Res Clin Pract 2022; 186:109836. [PMID: 35314256 DOI: 10.1016/j.diabres.2022.109836] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 03/10/2022] [Accepted: 03/16/2022] [Indexed: 12/20/2022]
Abstract
AIMS The aim of this study was to define the relationship between time in range (TIR) and hemoglobin A1c (HbA1c) levels in patients with type 2 diabetes mellitus (T2DM). METHODS The glycemic profile of 999 Japanese patients was analyzed with FreeStyle Libre Pro Continuous Glucose Monitoring (FLP-CGM) while they continued their prescribed glucose-lowering medications. FLP-CGM data recorded over 8 consecutive days were analyzed. RESULTS The regression model for HbA1c on TIR was HbA1c = 9.4966-0.0309 × TIR. The predicted HbA1c level for TIR of 70% was 7.33% and is higher than reports subjecting mostly T1DM. The TIR corresponding to HbA1c 7.0% was 80.64%. The patients with low TIR tended to have long duration of diabetes, used high dose of daily insulin, high body mass index, high HbA1c, liver dysfunction and high triglyceride. Relatively higher percentages of patients of this group used sulfonylureas, glucagon like peptide-1 receptor agonists and insulin. CONCLUSIONS Our data showed predicted HbA1c corresponding to TIR is largely depends on study population, thus is not uniform. Our results provide new insights on the management of T2DM. However, caution should be exercised in extending the HbA1C-TIR relationship using FLP-CGM to any other sensors since there could be a risk of hypoglycemia in doing so.
Collapse
Affiliation(s)
- Akira Kurozumi
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu 807-8555, Japan
| | - Yosuke Okada
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu 807-8555, Japan; Clinical Research Center, Hospital of the University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu 807-8555, Japan.
| | - Tomoya Mita
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1 Bunkyo-ku, Tokyo, Japan.
| | - Satomi Wakasugi
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1 Bunkyo-ku, Tokyo, Japan
| | - Naoto Katakami
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, Japan; Department of Metabolism and Atherosclerosis, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Hidenori Yoshii
- Department of Medicine, Diabetology & Endocrinology, Juntendo Tokyo Koto Geriatric Medical Center, Shinsuna 3-3-20, Koto-ku, Tokyo 136-0075, Japan
| | - Kazuko Kanda
- Tobata General Hospital, 1-3-33, Fukuryugi, Tobata-ku, Kitakyushu 804-0025, Japan
| | - Keiko Nishida
- Nishida Keiko Diabetes Clinic, 1-3-26, Mitsusadadai, Yahatanishi-ku, Kitakyushu 807-0805, Japan
| | - Shinichiro Mine
- Sasaki Hospital, 9-36, Kisshoujimachi, Yahatanishi-ku, Kitakyushu 807-1114, Japan
| | - Yoshiya Tanaka
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu 807-8555, Japan
| | - Masahiko Gosho
- Department of Biostatistics, Faculty of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, Japan
| | - Hirotaka Watada
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1 Bunkyo-ku, Tokyo, Japan
| |
Collapse
|
149
|
Abstract
One hundred years ago, insulin was first used to successfully lower blood glucose levels in young people living with what was then called juvenile diabetes. While insulin was not a cure for diabetes, it allowed individuals to resume a near normal life and have some freedom to eat more liberally and gain the strength they needed to live a more active lifestyle. Since then, a number of therapeutic and technical advances have arisen to further improve the health and wellbeing of individuals living with type 1 diabetes, allowing many to participate in sport at the local, regional, national or international level of competition. This review and commentary highlights some of the key advances in diabetes management in sport over the last 100 years since the discovery of insulin.
Collapse
Affiliation(s)
- Michael C Riddell
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, Canada
| | - Dorsa Shakeri
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, Canada
| | - Sam N Scott
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, University of Bern, Bern, Switzerland
- Team Novo Nordisk Professional Cycling Team, Atlanta, Georgia, USA
| |
Collapse
|
150
|
Wang M, Wang C, Ren S, Pan J, Wang Y, Shen Y, Zeng Z, Cui H, Zhao X. Versatile Oral Insulin Delivery Nanosystems: From Materials to Nanostructures. Int J Mol Sci 2022; 23:ijms23063362. [PMID: 35328783 PMCID: PMC8952690 DOI: 10.3390/ijms23063362] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 02/24/2022] [Accepted: 02/27/2022] [Indexed: 11/16/2022] Open
Abstract
Diabetes is a chronic metabolic disease characterized by lack of insulin in the body leading to failure of blood glucose regulation. Diabetes patients usually need frequent insulin injections to maintain normal blood glucose levels, which is a painful administration manner. Long-term drug injection brings great physical and psychological burden to diabetic patients. In order to improve the adaptability of patients to use insulin and reduce the pain caused by injection, the development of oral insulin formulations is currently a hot and difficult topic in the field of medicine and pharmacy. Thus, oral insulin delivery is a promising and convenient administration method to relieve the patients. However, insulin as a peptide drug is prone to be degraded by digestive enzymes. In addition, insulin has strong hydrophilicity and large molecular weight and extremely low oral bioavailability. To solve these problems in clinical practice, the oral insulin delivery nanosystems were designed and constructed by rational combination of various nanomaterials and nanotechnology. Such oral nanosystems have the advantages of strong adaptability, small size, convenient processing, long-lasting pharmaceutical activity, and drug controlled-release, so it can effectively improve the oral bioavailability and efficacy of insulin. This review summarizes the basic principles and recent progress in oral delivery nanosystems for insulin, including physiological absorption barrier of oral insulin and the development of materials to nanostructures for oral insulin delivery nanosystems.
Collapse
|