Literature DB >> 24937038

Artificial pancreas: fuzzy logic and control of glycemia.

Revital Nimri1, Moshe Phillip.   

Abstract

PURPOSE OF REVIEW: This review describes the latest efforts, challenges, and experience of using automated insulin delivery systems at outpatient settings and home studies. This is an important step in getting recognition of these systems as a routine therapy for patients with type 1 diabetes. RECENT
FINDINGS: Almost 3 years elapsed since the first description of closed-loop use outside the protecting environment of the hospital, at a diabetes camp. In this period, several different approaches of closed-loop systems were used at outpatient settings. The low-glucose suspend feature on the pump showed a reduction in the risk of nocturnal hypoglycemia. Closed-loop systems with diverse control algorithms with a single or bihormonal approach showed an improvement in glycemic control. The improvement was demonstrated during the overnight use and during the 24-h use. The outpatient studies with closed-loop systems, especially overnight at home, demonstrated that the current configurations are already safe and efficient for daily use. Technological advancement should undoubtedly lead to even better performance.
SUMMARY: Studies using closed-loop systems at patients' home are currently being carried out. The preliminary results of these experiments are encouraging and enhance our confidence in this tool as suitable for use in clinical daily practice.

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Year:  2014        PMID: 24937038     DOI: 10.1097/MED.0000000000000073

Source DB:  PubMed          Journal:  Curr Opin Endocrinol Diabetes Obes        ISSN: 1752-296X            Impact factor:   3.243


  7 in total

1.  The Bio-inspired Artificial Pancreas for Type 1 Diabetes Control in the Home: System Architecture and Preliminary Results.

Authors:  Pau Herrero; Mohamed El-Sharkawy; John Daniels; Narvada Jugnee; Chukwuma N Uduku; Monika Reddy; Nick Oliver; Pantelis Georgiou
Journal:  J Diabetes Sci Technol       Date:  2019-10-14

2.  Adjustment of Open-Loop Settings to Improve Closed-Loop Results in Type 1 Diabetes: A Multicenter Randomized Trial.

Authors:  Eyal Dassau; Sue A Brown; Ananda Basu; Jordan E Pinsker; Yogish C Kudva; Ravi Gondhalekar; Steve Patek; Dayu Lv; Michele Schiavon; Joon Bok Lee; Chiara Dalla Man; Ling Hinshaw; Kristin Castorino; Ashwini Mallad; Vikash Dadlani; Shelly K McCrady-Spitzer; Molly McElwee-Malloy; Christian A Wakeman; Wendy C Bevier; Paige K Bradley; Boris Kovatchev; Claudio Cobelli; Howard C Zisser; Francis J Doyle
Journal:  J Clin Endocrinol Metab       Date:  2015-07-23       Impact factor: 5.958

3.  An In Silico Head-to-Head Comparison of the Do-It-Yourself Artificial Pancreas Loop and Bio-Inspired Artificial Pancreas Control Algorithms.

Authors:  Ryan Armiger; Monika Reddy; Nick S Oliver; Pantelis Georgiou; Pau Herrero
Journal:  J Diabetes Sci Technol       Date:  2021-12-03

4.  Hybrid Close-Loop Systems Versus Predictive Low-Glucose Suspend and Sensor-Augmented Pump Therapy in Patients With Type 1 Diabetes: A Single-Center Cohort Study.

Authors:  Maria Elena Lunati; Paola Silvia Morpurgo; Antonio Rossi; Alessandra Gandolfi; Irene Cogliati; Andrea Mario Bolla; Laura Plebani; Luciana Vallone; Laura Montefusco; Ida Pastore; Vincenzo Cimino; Sabrina Argenti; Graziella Volpi; Gian Vincenzo Zuccotti; Paolo Fiorina
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-14       Impact factor: 6.055

5.  Progress in Diabetes Technology: Developments in Insulin Pumps, Continuous Glucose Monitors, and Progress towards the Artificial Pancreas.

Authors:  Gregory P Forlenza; Bruce Buckingham; David M Maahs
Journal:  J Pediatr       Date:  2015-11-05       Impact factor: 4.406

Review 6.  A Review of Safety and Design Requirements of the Artificial Pancreas.

Authors:  Helga Blauw; Patrick Keith-Hynes; Robin Koops; J Hans DeVries
Journal:  Ann Biomed Eng       Date:  2016-06-28       Impact factor: 3.934

Review 7.  Artificial Pancreas Device Systems for the Closed-Loop Control of Type 1 Diabetes: What Systems Are in Development?

Authors:  Sara Trevitt; Sue Simpson; Annette Wood
Journal:  J Diabetes Sci Technol       Date:  2016-05-03
  7 in total

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