Literature DB >> 33411096

Artificial Pancreas Technology Offers Hope for Childhood Diabetes.

Melissa J Schoelwer1, Mark D DeBoer2.   

Abstract

PURPOSE OF REVIEW: Here, we provide a review of recent advancements in closed-loop or automated insulin delivery systems commonly referred to as the "artificial pancreas" (AP) for the management of type 1 diabetes (T1D). RECENT
FINDINGS: The use of hybrid closed-loop devices in children and adolescents with T1D consistently increases time in the target glucose range (70-180 mg/dL) without increasing the risk of hypoglycemia. Although hybrid closed-loop systems are able to maintain fairly tight glycemic control overnight, daytime control remains challenging, primarily due to meals and exercise, and careful carbohydrate counting and meal boluses remain essential components of optimal diabetes control. Bihormonal and fully automated AP systems remain investigational at this time. While commercially available hybrid closed-loop AP systems improve glycemic control in children with T1D, more work is needed to achieve a fully automated AP system and decrease the burden of using diabetes technology.

Entities:  

Keywords:  Artificial pancreas; Automated insulin delivery; Closed-loop control; Pediatric; Type 1 diabetes

Mesh:

Substances:

Year:  2021        PMID: 33411096     DOI: 10.1007/s13668-020-00347-9

Source DB:  PubMed          Journal:  Curr Nutr Rep        ISSN: 2161-3311


  57 in total

1.  Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space.

Authors:  Lutz Heinemann; Michael Schoemaker; Günther Schmelzeisen-Redecker; Rolf Hinzmann; Adham Kassab; Guido Freckmann; Florian Reiterer; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2019-06-19

2.  Nighttime is the worst time: Parental fear of hypoglycemia in young children with type 1 diabetes.

Authors:  Michelle A Van Name; Marisa E Hilliard; Claire T Boyle; Kellee M Miller; Daniel J DeSalvo; Barbara J Anderson; Lori M Laffel; Stephanie E Woerner; Linda A DiMeglio; William V Tamborlane
Journal:  Pediatr Diabetes       Date:  2017-04-21       Impact factor: 4.866

3.  Reduction in Diabetic Ketoacidosis and Severe Hypoglycemia in Pediatric Type 1 Diabetes During the First Year of Continuous Glucose Monitoring: A Multicenter Analysis of 3,553 Subjects From the DPV Registry.

Authors:  Martin Tauschmann; Julia M Hermann; Clemens Freiberg; Matthias Papsch; Angelika Thon; Bettina Heidtmann; Kerstin Placzeck; Dirk Agena; Thomas M Kapellen; Bernd Schenk; Johannes Wolf; Thomas Danne; Birgit Rami-Merhar; Reinhard W Holl
Journal:  Diabetes Care       Date:  2020-01-22       Impact factor: 19.112

4.  Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring.

Authors:  Boris P Kovatchev; Stephen D Patek; Edward Andrew Ortiz; Marc D Breton
Journal:  Diabetes Technol Ther       Date:  2014-12-01       Impact factor: 6.118

5.  State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016-2018.

Authors:  Nicole C Foster; Roy W Beck; Kellee M Miller; Mark A Clements; Michael R Rickels; Linda A DiMeglio; David M Maahs; William V Tamborlane; Richard Bergenstal; Elizabeth Smith; Beth A Olson; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2019-01-18       Impact factor: 6.118

6.  Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes.

Authors:  Rayhan A Lal; Laya Ekhlaspour; Korey Hood; Bruce Buckingham
Journal:  Endocr Rev       Date:  2019-12-01       Impact factor: 19.871

7.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

8.  Closed-loop artificial pancreas systems: engineering the algorithms.

Authors:  Francis J Doyle; Lauren M Huyett; Joon Bok Lee; Howard C Zisser; Eyal Dassau
Journal:  Diabetes Care       Date:  2014       Impact factor: 19.112

Review 9.  Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.

Authors:  Tadej Battelino; Thomas Danne; Richard M Bergenstal; Stephanie A Amiel; Roy Beck; Torben Biester; Emanuele Bosi; Bruce A Buckingham; William T Cefalu; Kelly L Close; Claudio Cobelli; Eyal Dassau; J Hans DeVries; Kim C Donaghue; Klemen Dovc; Francis J Doyle; Satish Garg; George Grunberger; Simon Heller; Lutz Heinemann; Irl B Hirsch; Roman Hovorka; Weiping Jia; Olga Kordonouri; Boris Kovatchev; Aaron Kowalski; Lori Laffel; Brian Levine; Alexander Mayorov; Chantal Mathieu; Helen R Murphy; Revital Nimri; Kirsten Nørgaard; Christopher G Parkin; Eric Renard; David Rodbard; Banshi Saboo; Desmond Schatz; Keaton Stoner; Tatsuiko Urakami; Stuart A Weinzimer; Moshe Phillip
Journal:  Diabetes Care       Date:  2019-06-08       Impact factor: 19.112

Review 10.  Prevalence and incidence of type 1 diabetes in the world: a systematic review and meta-analysis.

Authors:  Majid Mobasseri; Masoud Shirmohammadi; Tarlan Amiri; Nafiseh Vahed; Hossein Hosseini Fard; Morteza Ghojazadeh
Journal:  Health Promot Perspect       Date:  2020-03-30
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  4 in total

1.  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

Review 2.  Dual-hormone artificial pancreas for management of type 1 diabetes: Recent progress and future directions.

Authors:  Marco Infante; David A Baidal; Michael R Rickels; Andrea Fabbri; Jay S Skyler; Rodolfo Alejandro; Camillo Ricordi
Journal:  Artif Organs       Date:  2021-07-15       Impact factor: 2.663

3.  Evaluation of blood glucose level control in type 1 diabetic patients using deep reinforcement learning.

Authors:  Phuwadol Viroonluecha; Esteban Egea-Lopez; Jose Santa
Journal:  PLoS One       Date:  2022-09-13       Impact factor: 3.752

4.  Clinical and Demographic Factors Associated With Diabetic Retinopathy Among Young Patients With Diabetes.

Authors:  Michael L Ferm; Daniel J DeSalvo; Laura M Prichett; James K Sickler; Risa M Wolf; Roomasa Channa
Journal:  JAMA Netw Open       Date:  2021-09-01
  4 in total

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