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Almurashi AM, Rodriguez E, Garg SK. Emerging Diabetes Technologies: Continuous Glucose Monitors/Artificial Pancreases. J Indian Inst Sci 2023; 103:1-26. [PMID: 37362851 PMCID: PMC10043869 DOI: 10.1007/s41745-022-00348-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/04/2022] [Indexed: 03/30/2023]
Abstract
Over the past decade there have been many advances in diabetes technologies, such as continuous glucose monitors (CGM s), insulin-delivery devices, and hybrid closed loop systems . Now most CGMs (Medtronic-Guardian, Dexcom-G6, and Abbott-Libre-2) have MARD values of < 10%, in contrast to two decades ago when the MARD used to be > 20%. In addition, the majority of the new CGMs do not require calibrations, and the latest CGMs last for 10-14 days. An implantable 6-months CGM by Eversense-3 is now approved in the USA and Europe. Recently, the FDA approved Libre 3 which provides real-time glucose values every minute. Even though it is approved as an iCGM it is not interoperable with automatic-insulin-delivery (AID) systems. The newer CGMs that are likely to be launched in the next few months in the USA include the 10-11 days Dexcom G7 (60% smaller than the existing G6), and the 7-days Medtronic Guardian 4. Most of the newer CGM have several features like automatic initialization, easy insertion, predictive alarms, and alerts. It has also been noticed that an arm insertion site might have better accuracy than abdomen or other sites, like the buttock for kids. Lag time between YSI and different sensors have been reported differently, sometimes it is down to 2-3 min; however, in many instances, it is still 15-20 min, especially when the rate of change of glucose is > 2 mg/min. We believe that in the next decade there will be a significant increase in the number of people who use CGM for their day-to-day diabetes care.
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Affiliation(s)
- Abdulhalim M. Almurashi
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
- Madinah Health Cluster, Madinah, Saudi Arabia
| | - Erika Rodriguez
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
| | - Satish K. Garg
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
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2
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Marcus Y, Eldor R, Yaron M, Shaklai S, Ish-Shalom M, Shefer G, Stern N, Golan N, Dvir AZ, Pele O, Gonen M. Improving blood glucose level predictability using machine learning. Diabetes Metab Res Rev 2020; 36:e3348. [PMID: 32445286 DOI: 10.1002/dmrr.3348] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 05/12/2020] [Accepted: 05/18/2020] [Indexed: 01/17/2023]
Abstract
This study was designed to improve blood glucose level predictability and future hypoglycemic and hyperglycemic event alerts through a novel patient-specific supervised-machine-learning (SML) analysis of glucose level based on a continuous-glucose-monitoring system (CGM) that needs no human intervention, and minimises false-positive alerts. The CGM data over 7 to 50 non-consecutive days from 11 type-1 diabetic patients aged 18 to 39 with a mean HbA1C of 7.5% ± 1.2% were analysed using four SML models. The algorithm was constructed to choose the best-fit model for each patient. Several statistical parameters were calculated to aggregate the magnitudes of the prediction errors. The personalised solutions provided by the algorithm were effective in predicting glucose levels 30 minutes after the last measurement. The average root-mean-square-error was 20.48 mg/dL and the average absolute-mean-error was 15.36 mg/dL when the best-fit model was selected for each patient. Using the best-fit-model, the true-positive-hypoglycemia-prediction-rate was 64%, whereas the false-positive- rate was 4.0%, and the false-negative-rate was 0.015%. Similar results were found even when only CGM samples below 70 were considered. The true-positive-hyperglycemia-prediction-rate was 61%. State-of-the-art SML tools are effective in predicting the glucose level values of patients with type-1diabetes and notifying these patients of future hypoglycemic and hyperglycemic events, thus improving glycemic control. The algorithm can be used to improve the calculation of the basal insulin rate and bolus insulin, and suitable for a closed loop "artificial pancreas" system. The algorithm provides a personalised medical solution that can successfully identify the best-fit method for each patient.
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Affiliation(s)
- Yonit Marcus
- The Institute of Endocrinology, Metabolism and Hypertension, Tel-Aviv Sourasky Medical Centre, Tel Aviv, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Roy Eldor
- The Institute of Endocrinology, Metabolism and Hypertension, Tel-Aviv Sourasky Medical Centre, Tel Aviv, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mariana Yaron
- The Institute of Endocrinology, Metabolism and Hypertension, Tel-Aviv Sourasky Medical Centre, Tel Aviv, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sigal Shaklai
- The Institute of Endocrinology, Metabolism and Hypertension, Tel-Aviv Sourasky Medical Centre, Tel Aviv, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Maya Ish-Shalom
- The Institute of Endocrinology, Metabolism and Hypertension, Tel-Aviv Sourasky Medical Centre, Tel Aviv, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gabi Shefer
- The Institute of Endocrinology, Metabolism and Hypertension, Tel-Aviv Sourasky Medical Centre, Tel Aviv, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Naftali Stern
- The Institute of Endocrinology, Metabolism and Hypertension, Tel-Aviv Sourasky Medical Centre, Tel Aviv, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nehor Golan
- The Department of Computer Science, Ariel University, Ariel, Israel
- Ariel Cyber Innovation Centre, Ariel University, Ariel, Israel
| | - Amit Z Dvir
- The Department of Computer Science, Ariel University, Ariel, Israel
- Ariel Cyber Innovation Centre, Ariel University, Ariel, Israel
| | - Ofir Pele
- The Department of Computer Science, Ariel University, Ariel, Israel
| | - Mira Gonen
- The Department of Computer Science, Ariel University, Ariel, Israel
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3
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Galderisi A, Cohen N, Calhoun P, Kraemer K, Breton M, Weinzimer S, Cengiz E. Effect of Afrezza on Glucose Dynamics During HCL Treatment. Diabetes Care 2020; 43:2146-2152. [PMID: 32661108 PMCID: PMC7440894 DOI: 10.2337/dc20-0091] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 06/15/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE A major obstacle in optimizing the performance of closed-loop automated insulin delivery systems has been the delay in insulin absorption and action that results from the subcutaneous (SC) route of insulin delivery leading to exaggerated postmeal hyperglycemic excursions. We aimed to investigate the effect of Afrezza inhaled insulin with ultrafast-in and -out action profile on improving postprandial blood glucose control during hybrid closed-loop (HCL) treatment in young adults with type 1 diabetes. RESEARCH DESIGN AND METHODS We conducted an inpatient, three-way, randomized crossover standardized meal study to assess the efficacy and safety of Afrezza at a low (AL) and a high (AH) dose as compared with a standard SC rapid-acting insulin (aspart) premeal bolus during Diabetes Assistant (DiAs) HCL treatment. Participants received two sequential meals on three study days, and premeal insulin bolus was determined based on home insulin-to-carbohydrate ratio for each meal (rounded up to the closest available Afrezza cartridge dose for AH and down for AL). The primary efficacy outcome was the peak postprandial plasma glucose (PPG) level calculated by pooling data for up to 4 h after the start of each meal. Secondary outcomes included hyperglycemic, hypoglycemic, and euglycemic venous glucose metrics. RESULTS The mean ± SD PPG for the rapid-acting insulin control arm and AH was similar (185 ± 50 mg/dL vs. 195 ± 46 mg/dL, respectively; P = 0.45), while it was higher for meals using AL (208 ± 54 mg/dL, P = 0.04). The AH achieved significantly lower early PPG level than the control arm (30 min; P < 0.001), and improvement in PPG waned at later time points (120 and 180 min; P = 0.02) coinciding with the end of Afrezza glucodynamic action. CONCLUSIONS Afrezza (AH) premeal bolus reduced the early glycemic excursion and improved PPG during HCL compared with aspart premeal bolus. The improvement in PPG was not sustained after the end of Afrezza glucodynamic action at 120 min.
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Affiliation(s)
- Alfonso Galderisi
- Department of Pediatrics, Yale School of Medicine, New Haven, CT .,Department of Women's and Children's Health, University of Padova, Padova, Italy
| | | | | | - Kristen Kraemer
- Department of Pediatrics, Yale School of Medicine, New Haven, CT
| | - Marc Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA
| | - Stuart Weinzimer
- Department of Pediatrics, Yale School of Medicine, New Haven, CT
| | - Eda Cengiz
- Department of Pediatrics, Yale School of Medicine, New Haven, CT.,Bahcesehir University School of Medicine, Istanbul, Turkey
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4
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Forlenza GP, Buckingham BA, Christiansen MP, Wadwa RP, Peyser TA, Lee JB, O'Connor J, Dassau E, Huyett LM, Layne JE, Ly TT. Performance of Omnipod Personalized Model Predictive Control Algorithm with Moderate Intensity Exercise in Adults with Type 1 Diabetes. Diabetes Technol Ther 2019; 21:265-272. [PMID: 30925077 PMCID: PMC6532546 DOI: 10.1089/dia.2019.0017] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background: The objective of this study was to assess the safety and performance of the Omnipod® personalized model predictive control (MPC) algorithm with variable glucose setpoints and moderate intensity exercise using an investigational device in adults with type 1 diabetes (T1D). Materials and Methods: A supervised 54-h hybrid closed-loop (HCL) study was conducted in a hotel setting after a 7-day outpatient standard treatment phase. Adults aged 18-65 years with T1D and HbA1c between 6.0% and 10.0% were eligible. Subjects completed two moderate intensity exercise sessions of >30 min duration on consecutive days: the first with the glucose set point increased from 130 to 150 mg/dL and the second with a temporary basal rate of 50%, both started 90 min pre-exercise. Primary endpoints were percentage time in hypoglycemia <70 mg/dL and hyperglycemia ≥250 mg/dL. Results: Twelve subjects participated in the study, with (mean ± standard deviation) age 36.5 ± 14.4 years, diabetes duration 21.7 ± 15.7 years, HbA1c 7.6% ± 1.1%, and total daily dose 0.60 ± 0.22 U/kg. Outcomes for the 54-h HCL period were mean glucose: 136 ± 14 mg/dL, percentage time <70 mg/dL: 1.4% ± 1.3%, 70-180 mg/dL: 85.1% ± 9.3%, and ≥250 mg/dL: 1.8% ± 2.4%. In the 12-h period after exercise start, percentage time <70 mg/dL was 1.4% ± 2.7% with the raised glucose set point and 1.6% ± 3.0% with reduced basal rate. The percentage time <70 mg/dL overnight was 0% ± 0% on both study nights. Conclusions: The Omnipod personalized MPC algorithm performed well and was safe during day and night use in response to variable glucose set points and with temporarily raised glucose set point or reduced basal rate 90 min in advance of moderate intensity exercise in adults with T1D.
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Affiliation(s)
- Gregory P. Forlenza
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado
- Address correspondence to: Gregory P. Forlenza, MD, Barbara Davis Center for Diabetes, University of Colorado School of Medicine, 1775 Aurora CT, MS A140, Aurora, CO 80045
| | - Bruce A. Buckingham
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
| | | | - R. Paul Wadwa
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado
| | | | | | | | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
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5
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Gregory JM, Lautz M, Moore LM, Williams PE, Reddy P, Cherrington AD. Enterically delivered insulin tregopil exhibits rapid absorption characteristics and a pharmacodynamic effect similar to human insulin in conscious dogs. Diabetes Obes Metab 2019; 21:160-169. [PMID: 30095210 PMCID: PMC6281755 DOI: 10.1111/dom.13498] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 07/29/2018] [Accepted: 08/06/2018] [Indexed: 12/12/2022]
Abstract
AIMS Current therapy fails to emulate rapid (first-phase) insulin release in relation to a meal, a key defect in types 1 and 2 diabetes. We aimed to quantify the pharmacokinetic (PK) and pharmacodynamic (PD) profile of insulin tregopil, an enterically-absorbed insulin analog that restores the normal distribution of insulin between the hepatic portal and peripheral circulations. MATERIALS AND METHODS The PK and PD profiles of insulin tregopil were studied in overnight-fasted, catheterized, conscious canines using four approaches: (1) equimolar intraportal infusions of tregopil vs human insulin; (2) escalating doses of oral tregopil; (3) identical, consecutive enteric doses of tregopil; and (4) comparison of oral tregopil to inhaled and subcutaneous human insulin administration. RESULTS Equimolar intraportal infusions of tregopil and human insulin resulted in very similar PK profiles and PD profiles were nearly identical. Enteric delivery of tregopil brought about rapid absorption with tmax = 20 minutes in most cases. Median tmax was 20 minutes for oral tregopil and inhaled insulin and 88 minutes for subcutaneous human insulin. The time required for arterial plasma insulin levels to return to baseline was approximately 90, 210 and 360 minutes for oral tregopil, inhaled insulin and subcutaneous insulin, respectively. CONCLUSIONS Enterically delivered tregopil is rapidly absorbed and restores a portal-to-peripheral vascular distribution. These characteristics should improve postprandial hyperglycaemia in types 1 and 2 diabetes.
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Affiliation(s)
- Justin M. Gregory
- Vanderbilt Ian Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - Margaret Lautz
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN
| | - L. Merkle Moore
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN
| | - Phillip E. Williams
- Section of Surgical Sciences, Vanderbilt University School of Medicine, Nashville, TN
| | | | - Alan D. Cherrington
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN
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6
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Sherr JL, Tauschmann M, Battelino T, de Bock M, Forlenza G, Roman R, Hood KK, Maahs DM. ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies. Pediatr Diabetes 2018; 19 Suppl 27:302-325. [PMID: 30039513 DOI: 10.1111/pedi.12731] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 07/10/2018] [Indexed: 12/12/2022] Open
Affiliation(s)
- Jennifer L Sherr
- Department of Pediatrics, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Martin Tauschmann
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.,Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Tadej Battelino
- UMC-University Children's Hospital, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Martin de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Gregory Forlenza
- University of Colorado Denver, Barbara Davis Center, Aurora, Colorado
| | - Rossana Roman
- Medical Sciences Department, University of Antofagasta and Antofagasta Regional Hospital, Antofagasta, Chile
| | - Korey K Hood
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California
| | - David M Maahs
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
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7
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Affiliation(s)
- Lutz Heinemann
- Science & Co, Düsseldorf, Germany
- Lutz Heinemann, PhD, Science & Co, Kehler Strasse 24, D-40468, Düsseldorf, Germany.
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8
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Laguna Sanz AJ, Mulla CM, Fowler KM, Cloutier E, Goldfine AB, Newswanger B, Cummins M, Deshpande S, Prestrelski SJ, Strange P, Zisser H, Doyle FJ, Dassau E, Patti ME. Design and Clinical Evaluation of a Novel Low-Glucose Prediction Algorithm with Mini-Dose Stable Glucagon Delivery in Post-Bariatric Hypoglycemia. Diabetes Technol Ther 2018; 20:127-139. [PMID: 29355439 PMCID: PMC5771550 DOI: 10.1089/dia.2017.0298] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Postbariatric hypoglycemia (PBH) is a complication of bariatric surgery with limited therapeutic options. We developed an event-based system to predict and detect hypoglycemia based on continuous glucose monitor (CGM) data and recommend delivery of minidose liquid glucagon. METHODS We performed an iterative development clinical study employing a novel glucagon delivery system: a Dexcom CGM connected to a Windows tablet running a hypoglycemia prediction algorithm and an Omnipod pump filled with an investigational stable liquid glucagon formulation. Meal tolerance testing was performed in seven participants with PBH and history of neuroglycopenia. Glucagon was administered when hypoglycemia was predicted. Primary outcome measures included the safety and feasibility of this system to predict and prevent severe hypoglycemia. Secondary outcomes included hypoglycemia prediction by the prediction algorithm, minimization of time below hypoglycemia threshold using glucagon, and prevention of rebound hyperglycemia. RESULTS The hypoglycemia prediction algorithm alerted for impending hypoglycemia in the postmeal state, prompting delivery of glucagon (150 μg). After observations of initial incomplete efficacy to prevent hypoglycemia in the first two participants, system modifications were implemented: addition of PBH-specific detection algorithm, increased glucagon dose (300 μg), and a second glucagon dose if needed. These modifications, together with rescue carbohydrates provided to some participants, contributed to progressive improvements in glucose time above the hypoglycemia threshold (75 mg/dL). CONCLUSIONS Preliminary results indicate that our event-based automatic monitoring algorithm successfully predicted likely hypoglycemia. Minidose glucagon therapy was well tolerated, without prolonged or severe hypoglycemia, and without rebound hyperglycemia.
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Affiliation(s)
- Alejandro J. Laguna Sanz
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | | | | | - Emilie Cloutier
- Research Division, Joslin Diabetes Center, Boston, Massachusetts
| | | | - Brett Newswanger
- Research and Development Xeris Pharmaceuticals, Inc., Austin, Texas
| | - Martin Cummins
- Research and Development Xeris Pharmaceuticals, Inc., Austin, Texas
| | - Sunil Deshpande
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | | | - Poul Strange
- Research and Development Xeris Pharmaceuticals, Inc., Austin, Texas
| | - Howard Zisser
- Department of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, California
| | - Francis J. Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
- Research Division, Joslin Diabetes Center, Boston, Massachusetts
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9
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Uduku C, Oliver N. Pharmacological aspects of closed loop insulin delivery for type 1 diabetes. Curr Opin Pharmacol 2017; 36:29-33. [DOI: 10.1016/j.coph.2017.07.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2017] [Revised: 07/14/2017] [Accepted: 07/20/2017] [Indexed: 12/11/2022]
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10
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Ang KH, Sherr JL. Moving beyond subcutaneous insulin: the application of adjunctive therapies to the treatment of type 1 diabetes. Expert Opin Drug Deliv 2017; 14:1113-1131. [DOI: 10.1080/17425247.2017.1360862] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Kathleen H. Ang
- Yale Children’s Diabetes Program, Yale University School of Medicine, New Haven, CT, USA
| | - Jennifer L. Sherr
- Yale Children’s Diabetes Program, Yale University School of Medicine, New Haven, CT, USA
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11
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Forlenza GP, Deshpande S, Ly TT, Howsmon DP, Cameron F, Baysal N, Mauritzen E, Marcal T, Towers L, Bequette BW, Huyett LM, Pinsker JE, Gondhalekar R, Doyle FJ, Maahs DM, Buckingham BA, Dassau E. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care 2017; 40:1096-1102. [PMID: 28584075 PMCID: PMC5521973 DOI: 10.2337/dc17-0500] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 05/06/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE As artificial pancreas (AP) becomes standard of care, consideration of extended use of insulin infusion sets (IIS) and continuous glucose monitors (CGMs) becomes vital. We conducted an outpatient randomized crossover study to test the safety and efficacy of a zone model predictive control (zone-MPC)-based AP system versus sensor augmented pump (SAP) therapy in which IIS and CGM failures were provoked via extended wear to 7 and 21 days, respectively. RESEARCH DESIGN AND METHODS A smartphone-based AP system was used by 19 adults (median age 23 years [IQR 10], mean 8.0 ± 1.7% HbA1c) over 2 weeks and compared with SAP therapy for 2 weeks in a crossover, unblinded outpatient study with remote monitoring in both study arms. RESULTS AP improved percent time 70-140 mg/dL (48.1 vs. 39.2%; P = 0.016) and time 70-180 mg/dL (71.6 vs. 65.2%; P = 0.008) and decreased median glucose (141 vs. 153 mg/dL; P = 0.036) and glycemic variability (SD 52 vs. 55 mg/dL; P = 0.044) while decreasing percent time <70 mg/dL (1.3 vs. 2.7%; P = 0.001). AP also improved overnight control, as measured by mean glucose at 0600 h (140 vs. 158 mg/dL; P = 0.02). IIS failures (1.26 ± 1.44 vs. 0.78 ± 0.78 events; P = 0.13) and sensor failures (0.84 ± 0.6 vs. 1.1 ± 0.73 events; P = 0.25) were similar between AP and SAP arms. Higher percent time in closed loop was associated with better glycemic outcomes. CONCLUSIONS Zone-MPC significantly and safely improved glycemic control in a home-use environment despite prolonged CGM and IIS wear. This project represents the first home-use AP study attempting to provoke and detect component failure while successfully maintaining safety and effective glucose control.
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Affiliation(s)
| | - Sunil Deshpande
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
- William Sansum Diabetes Center, Santa Barbara, CA
| | - Trang T Ly
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Daniel P Howsmon
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY
| | - Faye Cameron
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY
| | - Nihat Baysal
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY
| | - Eric Mauritzen
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA
| | - Tatiana Marcal
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Lindsey Towers
- Barbara Davis Center, University of Colorado Denver, Denver, CO
| | - B Wayne Bequette
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY
| | - Lauren M Huyett
- William Sansum Diabetes Center, Santa Barbara, CA
- Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA
| | | | - Ravi Gondhalekar
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
- William Sansum Diabetes Center, Santa Barbara, CA
| | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
- William Sansum Diabetes Center, Santa Barbara, CA
| | - David M Maahs
- Barbara Davis Center, University of Colorado Denver, Denver, CO
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Bruce A Buckingham
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
- William Sansum Diabetes Center, Santa Barbara, CA
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12
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Turksoy K, Frantz N, Quinn L, Dumin M, Kilkus J, Hibner B, Cinar A, Littlejohn E. Automated Insulin Delivery-The Light at the End of the Tunnel. J Pediatr 2017; 186:17-28.e9. [PMID: 28396030 DOI: 10.1016/j.jpeds.2017.02.055] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 02/13/2017] [Accepted: 02/20/2017] [Indexed: 12/28/2022]
Affiliation(s)
- Kamuran Turksoy
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL
| | - Nicole Frantz
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL
| | - Laurie Quinn
- College of Nursing, University of Illinois at Chicago, Chicago, IL
| | - Magdalena Dumin
- Biological Sciences Division, University of Chicago, Chicago, IL
| | - Jennifer Kilkus
- Biological Sciences Division, University of Chicago, Chicago, IL
| | - Brooks Hibner
- Biological Sciences Division, University of Chicago, Chicago, IL
| | - Ali Cinar
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL; Biological Sciences Division, University of Chicago, Chicago, IL; Department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, IL
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13
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Rossetti P, Quirós C, Moscardó V, Comas A, Giménez M, Ampudia-Blasco FJ, León F, Montaser E, Conget I, Bondia J, Vehí J. Closed-Loop Control of Postprandial Glycemia Using an Insulin-on-Board Limitation Through Continuous Action on Glucose Target. Diabetes Technol Ther 2017; 19:355-362. [PMID: 28459603 DOI: 10.1089/dia.2016.0443] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND Postprandial (PP) control remains a challenge for closed-loop (CL) systems. Few studies with inconsistent results have systematically investigated the PP period. OBJECTIVE To compare a new CL algorithm with current pump therapy (open loop [OL]) in the PP glucose control in type 1 diabetes (T1D) subjects. METHODS A crossover randomized study was performed in two centers. Twenty T1D subjects (F/M 13/7, age 40.7 ± 10.4 years, disease duration 22.6 ± 9.9 years, and A1c 7.8% ± 0.7%) underwent an 8-h mixed meal test on four occasions. In two (CL1/CL2), after meal announcement, a bolus was given followed by an algorithm-driven basal infusion based on continuous glucose monitoring (CGM). Alternatively, in OL1/OL2 conventional pump therapy was used. Main outcome measures were as follows: glucose variability, estimated with the coefficient of variation (CV) of the area under the curve (AUC) of plasma glucose (PG) and CGM values, and from the analysis of the glucose time series; mean, maximum (Cmax), and time to Cmax glucose concentrations and time in range (<70, 70-180, >180 mg/dL). RESULTS CVs of the glucose AUCs were low and similar in all studies (around 10%). However, CL achieved greater reproducibility and better PG control in the PP period: CL1 = CL2<OL1<OL2 (PGmean 123 ± 47 and 125 ± 44 vs. 152 ± 53 and 159 ± 54 mg/dL) and Cmax OL 217.1 ± 67.0 mg/dL versus CL 183.3 ± 63.9 mg/dL, P < 0.0001. Time-in-range was higher with CL versus OL (80% vs. 64%; P < 0.001). Neither the time below 70 mg/dL (CL 6.1% vs. OL 3.2%; P > 0.05) nor the need for oral glucose was significantly different (CL 40.0% vs. OL 22.5% of meals; P = 0.054). CONCLUSIONS This novel CL algorithm effectively and consistently controls PP glucose excursions without increasing hypoglycemia. Study registered at ClinicalTrials.gov : study number NCT02100488.
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Affiliation(s)
- Paolo Rossetti
- 1 Internal Medicine Department, Hospital Francesc de Borja , Gandía, Spain
| | - Carmen Quirós
- 2 Diabetes Unit, Endocrinology Department, Hospital Clínic i Universitari , Barcelona, Spain
| | - Vanessa Moscardó
- 3 Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València , Valencia, Spain
| | - Anna Comas
- 4 Institute of Informatics and Applications, University of Girona , Girona, Spain
| | - Marga Giménez
- 2 Diabetes Unit, Endocrinology Department, Hospital Clínic i Universitari , Barcelona, Spain
| | - F Javier Ampudia-Blasco
- 5 Diabetes Reference Unit, Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valencia , Valencia, Spain
| | - Fabián León
- 4 Institute of Informatics and Applications, University of Girona , Girona, Spain
| | - Eslam Montaser
- 3 Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València , Valencia, Spain
| | - Ignacio Conget
- 2 Diabetes Unit, Endocrinology Department, Hospital Clínic i Universitari , Barcelona, Spain
| | - Jorge Bondia
- 3 Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València , Valencia, Spain
| | - Josep Vehí
- 4 Institute of Informatics and Applications, University of Girona , Girona, Spain
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Huyett LM, Ly TT, Forlenza GP, Reuschel-DiVirgilio S, Messer LH, Wadwa RP, Gondhalekar R, Doyle FJ, Pinsker JE, Maahs DM, Buckingham BA, Dassau E. Outpatient Closed-Loop Control with Unannounced Moderate Exercise in Adolescents Using Zone Model Predictive Control. Diabetes Technol Ther 2017; 19:331-339. [PMID: 28459617 PMCID: PMC5510043 DOI: 10.1089/dia.2016.0399] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND The artificial pancreas (AP) has the potential to improve glycemic control in adolescents. This article presents the first evaluation in adolescents of the Zone Model Predictive Control and Health Monitoring System (ZMPC+HMS) AP algorithms, and their first evaluation in a supervised outpatient setting with frequent exercise. MATERIALS AND METHODS Adolescents with type 1 diabetes underwent 3 days of closed-loop control (CLC) in a hotel setting with the ZMPC+HMS algorithms on the Diabetes Assistant platform. Subjects engaged in twice-daily exercise, including soccer, tennis, and bicycling. Meal size (unrestricted) was estimated and entered into the system by subjects to trigger a bolus, but exercise was not announced. RESULTS Ten adolescents (11.9-17.7 years) completed 72 h of CLC, with data on 95 ± 14 h of sensor-augmented pump (SAP) therapy before CLC as a comparison to usual therapy. The percentage of time with continuous glucose monitor (CGM) 70-180 mg/dL was 71% ± 10% during CLC, compared to 57% ± 16% during SAP (P = 0.012). Nocturnal control during CLC was safe, with 0% (0%, 0.6%) of time with CGM <70 mg/dL compared to 1.1% (0.0%, 14%) during SAP. Despite large meals (estimated up to 120 g carbohydrate), only 8.0% ± 6.9% of time during CLC was spent with CGM >250 mg/dL (16% ± 14% during SAP). The system remained connected in CLC for 97% ± 2% of the total study time. No adverse events or severe hypoglycemia occurred. CONCLUSIONS The use of the ZMPC+HMS algorithms is feasible in the adolescent outpatient environment and achieved significantly more time in the desired glycemic range than SAP in the face of unannounced exercise and large announced meal challenges.
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Affiliation(s)
- Lauren M. Huyett
- Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California
- William Sansum Diabetes Center, Santa Barbara, California
| | - Trang T. Ly
- Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University, Stanford, California
| | - Gregory P. Forlenza
- Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Suzette Reuschel-DiVirgilio
- Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University, Stanford, California
| | - Laurel H. Messer
- Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - R. Paul Wadwa
- Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Ravi Gondhalekar
- William Sansum Diabetes Center, Santa Barbara, California
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | - Francis J. Doyle
- Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California
- William Sansum Diabetes Center, Santa Barbara, California
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | | | - David M. Maahs
- Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University, Stanford, California
- Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Bruce A. Buckingham
- Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Stanford University, Stanford, California
| | - Eyal Dassau
- Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California
- William Sansum Diabetes Center, Santa Barbara, California
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
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15
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16
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Heinemann L, Baughman R, Boss A, Hompesch M. Pharmacokinetic and Pharmacodynamic Properties of a Novel Inhaled Insulin. J Diabetes Sci Technol 2017; 11:148-156. [PMID: 27378794 PMCID: PMC5375067 DOI: 10.1177/1932296816658055] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Advances in insulin treatment options over recent decades have markedly improved the management of diabetes. Despite this, glycemic control remains suboptimal in many people with diabetes. Although postprandial glucose control has been improved with the development of subcutaneously injected rapid-acting insulin analogs, currently available insulins are not able to fully mimic the physiological time-action profile of endogenously secreted insulin after a meal. The delayed onset of metabolic action and prolonged period of effect induce the risk of postprandial hyperglycemia and late postprandial hypoglycemia. A number of alternative routes of insulin administration have been investigated over time in an attempt to overcome the limitations associated with subcutaneous administration and to provide an improved time-action insulin profile more closely simulating physiological prandial insulin release. Among these, pulmonary insulin delivery has shown the most promise. Technosphere® Inhaled Insulin (TI) is a rapid-acting inhaled human insulin recently approved by the FDA for prandial insulin therapy. In this article we discuss the pharmacokinetic and pharmacodynamic properties of TI, and, based on key studies performed during its clinical development, the implications for improved postprandial glucose control.
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Affiliation(s)
- Lutz Heinemann
- Science & Co, Düsseldorf, Germany
- Lutz Heinemann, PhD, Science & Co, Kehler Str 24, Düsseldorf, D-40468, Germany.
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17
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Mikhail N. Place of technosphere inhaled insulin in treatment of diabetes. World J Diabetes 2016; 7:599-604. [PMID: 28031777 PMCID: PMC5155233 DOI: 10.4239/wjd.v7.i20.599] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 10/18/2016] [Indexed: 02/05/2023] Open
Abstract
Technosphere insulin (TI), Afrezza, is a powder form of short-acting regular insulin taken by oral inhalation with meals. Action of TI peaks after approximately 40-60 min and lasts for 2-3 h. TI is slightly less effective than subcutaneous insulin aspart, with mean hemoglobin A1c (HbA1c) reduction of 0.21% and 0.4%, respectively. When compared with technosphere inhaled placebo, the decrease in HbA1c levels was 0.8% and 0.4% with TI and placebo, respectively. Compared with insulin aspart, TI is associated with lower risk of late post-prandial hypoglycemia and weight gain. Apart from hypoglycemia, cough is the most common adverse effect of TI reported by 24%-33% of patients vs 2% with insulin aspart. TI is contraindicated in patients with asthma and chronic obstructive pulmonary disease. While TI is an attractive option of prandial insulin, its use is limited by frequent occurrence of cough, need for periodic monitoring of pulmonary function, and lack of long-term safety data. Candidates for use of TI are patients having frequent hypoglycemia while using short-acting subcutaneous insulin, particularly late post-prandial hypoglycemia, patients with needle phobia, and those who cannot tolerate subcutaneous insulin due to skin reactions.
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18
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Abstract
The artificial pancreas (closed-loop system) addresses the unmet clinical need for improved glucose control whilst reducing the burden of diabetes self-care in type 1 diabetes. Glucose-responsive insulin delivery above and below a preset insulin amount informed by sensor glucose readings differentiates closed-loop systems from conventional, threshold-suspend and predictive-suspend insulin pump therapy. Insulin requirements in type 1 diabetes can vary between one-third-threefold on a daily basis. Closed-loop systems accommodate these variations and mitigate the risk of hypoglycaemia associated with tight glucose control. In this review we focus on the progress being made in the development and evaluation of closed-loop systems in outpatient settings. Randomised transitional studies have shown feasibility and efficacy of closed-loop systems under supervision or remote monitoring. Closed-loop application during free-living, unsupervised conditions by children, adolescents and adults compared with sensor-augmented pumps have shown improved glucose outcomes, reduced hypoglycaemia and positive user acceptance. Innovative approaches to enhance closed-loop performance are discussed and we also present the outlook and strategies used to ease clinical adoption of closed-loop systems.
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Affiliation(s)
- Hood Thabit
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Level 4, Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Hills Rd, Cambridge, CB2 0QQ, UK
- Department of Diabetes & Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Level 4, Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Hills Rd, Cambridge, CB2 0QQ, UK.
- Department of Paediatrics, University of Cambridge, Cambridge, UK.
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19
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McGill JB, Ahn D, Edelman SV, Kilpatrick CR, Santos Cavaiola T. Making Insulin Accessible: Does Inhaled Insulin Fill an Unmet Need? Adv Ther 2016; 33:1267-78. [PMID: 27384191 DOI: 10.1007/s12325-016-0370-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Indexed: 01/28/2023]
Abstract
UNLABELLED Glycemic control is fundamental to the management of diabetes. However, studies suggest that a significant proportion of people with diabetes, particularly those using insulin, are not achieving glycemic targets. The reasons for this are likely to be multifactorial. The real and perceived risk of hypoglycemia and the need for multiple daily injections are widely recognized as key barriers to effective insulin therapy. Therefore, there is a clear unmet need for a treatment option which can help mitigate these barriers. Alternative methods of insulin administration have been under investigation for several years, and pulmonary delivery has shown the most promise to date. Inhaled Technosphere(®) Insulin (TI; Afrezza(®); MannKind Corporation) was approved in 2014 for use as prandial insulin in people with diabetes. TI shows a more rapid onset of action and a significantly faster decline in activity than current subcutaneous rapid-acting insulin analogs (RAAs), and TI is more synchronized to the physiologic timing of the postprandial glucose excursion. This results in lower postprandial hypoglycemia with similar glycemic control compared with RAAs, and less weight gain. Together with the ease of use of the TI inhaler and the reduction in the number of daily injections, these findings imply that TI may be useful in helping to overcome patient resistance to insulin, improve adherence and mitigate clinical inertia in health-care providers, with potential beneficial effects on glycemic control. FUNDING Writing and editorial support in the preparation of this publication was funded by Sanofi US, Inc., Bridgewater, New Jersey, USA. Funding for the article processing charges for this publication was provided by MannKind Corporation.
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Affiliation(s)
- Janet B McGill
- Washington University School of Medicine in St Louis, St Louis, MO, USA.
| | - David Ahn
- University of California San Diego, San Diego, CA, USA
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20
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Forlenza GP, Buckingham B, Maahs DM. Progress in Diabetes Technology: Developments in Insulin Pumps, Continuous Glucose Monitors, and Progress towards the Artificial Pancreas. J Pediatr 2016; 169:13-20. [PMID: 26547403 PMCID: PMC6214345 DOI: 10.1016/j.jpeds.2015.10.015] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 09/03/2015] [Accepted: 10/05/2015] [Indexed: 12/25/2022]
Affiliation(s)
- Gregory P. Forlenza
- Barbara Davis Center for Childhood Diabetes, University of
Colorado Denver, Aurora, CO
| | | | - David M. Maahs
- Barbara Davis Center for Childhood Diabetes, University of
Colorado Denver, Aurora, CO
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21
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Abstract
INTRODUCTION Insulin therapy is a mainstay for treatment of diabetes mellitus; however, many barriers to insulin exist. Insulin human inhalation powder (technosphere insulin) is a new FDA-approved alternative to subcutaneous bolus insulin. AREAS COVERED This is an overview of technosphere insulin (TI). Pharmacokinetics, clinical efficacy, safety and tolerability are discussed. EXPERT OPINION TI is more quickly absorbed than subcutaneous insulin therapies and has a shorter duration of action. It appears to be noninferior compared with subcutaneous insulin regimens, and is associated with less hypoglycemia. Thus, it may serve as an alternative insulin agent in patients reluctant to administer multiple subcutaneous injections of insulin daily or in patients who experience late postprandial hypoglycemia with subcutaneous insulin. Cough is the most common side effect, but tends to be mild and transient. A small decrease in the forced expiratory volume has been demonstrated, but does not appear to progress and is reversible. Patients should have periodic pulmonary function tests. TI is contraindicated in patients with chronic lung disease. The long-term risk of lung cancer is being monitored but at this point does not appear to be higher than the expected incidence of lung cancer in this population.
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Affiliation(s)
- Tracy L Setji
- a Department of Medicine, Division of Endocrinology , Duke University Medical Center , Durham , NC , USA
| | - Beatrice D Hong
- a Department of Medicine, Division of Endocrinology , Duke University Medical Center , Durham , NC , USA
| | - Mark N Feinglos
- a Department of Medicine, Division of Endocrinology , Duke University Medical Center , Durham , NC , USA
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22
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Affiliation(s)
- Jack L Leahy
- Division of Endocrinology, Diabetes & Metabolism and the Department of Medicine, The University of Vermont, Burlington, VT
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23
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Al-Tabakha MM. Future prospect of insulin inhalation for diabetic patients: The case of Afrezza versus Exubera. J Control Release 2015. [PMID: 26222134 DOI: 10.1016/j.jconrel.2015.07.025] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The current review was designed to compare between the insulin inhalation systems Exubera and Afrezza and to investigate the reasons why Exubera was unsuccessful, when Afrezza maker is expecting their product to be felicitous. In January 2006, Pfizer secured FDA and EC approval for the first of its kind, regular insulin through Exubera inhaler device for the management of types 1 and 2 diabetes mellitus (DM) in adults. The product was no longer available to the market after less than two years from its approval triggering a setback for competitive new inhalable insulins that were already in various clinical development phases. In contrary, MannKind Corporation started developing its ultra-rapid-acting insulin Afrezza in a bold bid, probably by managing the issues in which Exubera was not successful. Afrezza has been marketed since February, 2015 by Sanofi after getting FDA approval in June 2014. The results from this systematic review indicate the effectiveness of insulin inhalation products, particularly for patients initiating insulin therapy. Pharmaceutical companies should capitalize on the information available from insulin inhalation to produce competitive products that are able to match the bioavailability of subcutaneous (SC) insulin injection and to deal with the single insulin unit increments and basal insulin requirements in some diabetic patients or extending the horizon to inhalable drug products with completely different drug entities for other indications.
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Affiliation(s)
- Moawia M Al-Tabakha
- Pharmaceutical Sciences Unit, College of Pharmacy, Al Ain University of Science and Technology, P.O. Box 64141, Al Ain, United Arab Emirates.
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