Literature DB >> 33579715

Improved Glycemic Outcomes With Medtronic MiniMed Advanced Hybrid Closed-Loop Delivery: Results From a Randomized Crossover Trial Comparing Automated Insulin Delivery With Predictive Low Glucose Suspend in People With Type 1 Diabetes.

Olivia J Collyns1, Renee A Meier2, Zara L Betts2, Denis S H Chan3, Chris Frampton4, Carla M Frewen5, Niranjala M Hewapathirana1, Shirley D Jones5, Anirban Roy6, Benyamin Grosman6, Natalie Kurtz6, John Shin6, Robert A Vigersky6, Benjamin J Wheeler3,5, Martin I de Bock7,4.   

Abstract

OBJECTIVE: To study the MiniMed Advanced Hybrid Closed-Loop (AHCL) system, which includes an algorithm with individualized basal target set points, automated correction bolus function, and improved Auto Mode stability. RESEARCH DESIGN AND METHODS: This dual-center, randomized, open-label, two-sequence crossover study in automated-insulin-delivery-naive participants with type 1 diabetes (aged 7-80 years) compared AHCL to sensor-augmented pump therapy with predictive low glucose management (SAP + PLGM). Each study phase was 4 weeks, preceded by a 2- to 4-week run-in and separated by a 2-week washout.
RESULTS: The study was completed by 59 of 60 people (mean age 23.3 ± 14.4 years). Time in target range (TIR) 3.9-10 mmol/L (70-180 mg/dL) favored AHCL over SAP + PLGM (70.4 ± 8.1% vs. 57.9 ± 11.7%) by 12.5 ± 8.5% (P < 0.001), with greater improvement overnight (18.8 ± 12.9%, P < 0.001). All age-groups (children [7-13 years], adolescents [14-21 years], and adults [>22 years]) demonstrated improvement, with adolescents showing the largest improvement (14.4 ± 8.4%). Mean sensor glucose (SG) at run-in was 9.3 ± 0.9 mmol/L (167 ± 16.2 mg/dL) and improved with AHCL (8.5 ± 0.7 mmol/L [153 ± 12.6 mg/dL], P < 0.001), but deteriorated during PLGM (9.5 ± 1.1 mmol/L [17 ± 19.8 mg/dL], P < 0.001). TIR was optimal when the algorithm set point was 5.6 mmol/L (100 mg/dL) compared with 6.7 mmol/L (120 mg/dL), 72.0 ± 7.9% vs. 64.6 ± 6.9%, respectively, with no additional hypoglycemia. Auto Mode was active 96.4 ± 4.0% of the time. The percentage of hypoglycemia at baseline (<3.9 mmol/L [70 mg/dL] and ≤3.0 mmol/L [54 mg/dL]) was 3.1 ± 2.1% and 0.5 ± 0.6%, respectively. During AHCL, the percentage time at <3.9 mmol/L (70 mg/dL) improved to 2.1 ± 1.4% (P = 0.034) and was statistically but not clinically reduced for ≤3.0 mmol/L (54 mg/dL) (0.5 ± 0.5%; P = 0.025). There was one episode of mild diabetic ketoacidosis attributed to an infusion set failure in combination with an intercurrent illness, which occurred during the SAP + PLGM arm.
CONCLUSIONS: AHCL with automated correction bolus demonstrated significant improvement in glucose control compared with SAP + PLGM. A lower algorithm SG set point during AHCL resulted in greater TIR, with no increase in hypoglycemia.
© 2021 by the American Diabetes Association.

Entities:  

Year:  2021        PMID: 33579715     DOI: 10.2337/dc20-2250

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  29 in total

Review 1.  Recent advances in closed-loop insulin delivery.

Authors:  Julia Ware; Roman Hovorka
Journal:  Metabolism       Date:  2021-12-07       Impact factor: 8.694

2.  Assessment for Predictors of Rise in Hemoglobin A1c During Extended Use of a Closed-Loop Control System.

Authors:  Melissa J Schoelwer; Alessandro Bisio; Marc D Breton; Mark D DeBoer
Journal:  Diabetes Technol Ther       Date:  2022-04       Impact factor: 6.118

3.  Type 1 diabetes technology management traps in a pediatric patient: not all that glitters is gold.

Authors:  Barbara Piccini; Emilio Casalini; Chiara Macucci; Sonia Toni
Journal:  Acta Diabetol       Date:  2021-08-21       Impact factor: 4.280

4.  Improved technology satisfaction and sleep quality with Medtronic MiniMed® Advanced Hybrid Closed-Loop delivery compared to predictive low glucose suspend in people with Type 1 Diabetes in a randomized crossover trial.

Authors:  Benjamin J Wheeler; Olivia J Collyns; Renee A Meier; Zara L Betts; Chris Frampton; Carla M Frewen; Barbara Galland; Niranjala M Hewapathirana; Shirley D Jones; Denis S H Chan; Anirban Roy; Benyamin Grosman; Natalie Kurtz; John Shin; Robert A Vigersky; Martin I de Bock
Journal:  Acta Diabetol       Date:  2021-08-27       Impact factor: 4.280

Review 5.  Automated insulin delivery systems: from early research to routine care of type 1 diabetes.

Authors:  Eric Renard
Journal:  Acta Diabetol       Date:  2022-08-22       Impact factor: 4.087

6.  Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.

Authors:  Claudio Cobelli; Chiara Dalla Man
Journal:  J Diabetes Sci Technol       Date:  2021-05-25

7.  A comparison of two hybrid closed-loop systems in adolescents and young adults with type 1 diabetes (FLAIR): a multicentre, randomised, crossover trial.

Authors:  Richard M Bergenstal; Revital Nimri; Roy W Beck; Amy Criego; Lori Laffel; Desmond Schatz; Tadej Battelino; Thomas Danne; Stuart A Weinzimer; Judy Sibayan; Mary L Johnson; Ryan J Bailey; Peter Calhoun; Anders Carlson; Elvira Isganaitis; Rachel Bello; Anastasia Albanese-O'Neill; Klemen Dovc; Torben Biester; Kate Weyman; Korey Hood; Moshe Phillip
Journal:  Lancet       Date:  2021-01-16       Impact factor: 202.731

8.  Carbohydrate Tolerance Threshold for Unannounced Snacks in Children and Adolescents With Type 1 Diabetes Using an Advanced Hybrid Closed-Loop System.

Authors:  Gianluca Tornese; Claudia Carletti; Manuela Giangreco; Daniela Nisticò; Elena Faleschini; Egidio Barbi
Journal:  Diabetes Care       Date:  2022-06-02       Impact factor: 17.152

9.  Automated Insulin Delivery Systems: Today, Tomorrow and User Requirements.

Authors:  Marga Giménez; Ignacio Conget; Nick Oliver
Journal:  J Diabetes Sci Technol       Date:  2021-07-22

10.  Clinically Serious Hypoglycemia Is Rare and Not Associated With Time-in-range in Youth With New-onset Type 1 Diabetes.

Authors:  Ananta Addala; Dessi P Zaharieva; Angela J Gu; Priya Prahalad; David Scheinker; Bruce Buckingham; Korey K Hood; David M Maahs
Journal:  J Clin Endocrinol Metab       Date:  2021-10-21       Impact factor: 6.134

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