Characteristics of Automated Insulin Suspension and Glucose Responses with the Predictive Low-Glucose Management System-Reference-Cited by-同舟云学术

Characteristics of Automated Insulin Suspension and Glucose Responses with the Predictive Low-Glucose Management System

Published:2019-01 Issue:1 Volume:21 Page:28-34
ISSN:1520-9156
Container-title:Diabetes Technology & Therapeutics
language:en
Short-container-title:Diabetes Technology & Therapeutics

Author:

Abraham Mary B.¹²³,Smith Grant J.¹,Nicholas Jennifer A.¹²,Fairchild Janice M.⁴,King Bruce R.⁵,Ambler Geoffrey R.⁶,Cameron Fergus J.⁷,Davis Elizabeth A.¹²³,Jones Timothy W.¹²³,Klimek Julie,Heels Kristine,Jopling Tracey,Gebert Rebecca,Fletcher Miles Clarkson,Smith Tenele,Crawford Amy,Rafferty Jordan,Kelly Tania,Oates Stephanie,Czank Charles,Cole Carol,Laurenson Leah,Roby Heather,

Affiliation:

1. Children's Diabetes Center, Telethon Kids Institute, The University of Western Australia, Perth, Australia.

2. Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia.

3. Division of Pediatrics, Within the Medical School, The University of Western Australia, Perth, Australia.

4. Department of Endocrinology and Diabetes, Women's and Children's Hospital, Adelaide, Australia.

5. Department of Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, Australia.

6. Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, The University of Sydney, Sydney, Australia.

7. Department of Endocrinology and Diabetes, Royal Children's Hospital, Melbourne, Australia.

Publisher

Mary Ann Liebert Inc

Subject

Medical Laboratory Technology,Endocrinology,Endocrinology, Diabetes and Metabolism

Link

https://www.liebertpub.com/doi/pdf/10.1089/dia.2018.0205

Reference15 articles.

1. Prevention of Insulin-Induced Hypoglycemia in Type 1 Diabetes with Predictive Low Glucose Management System

2. Effectiveness of a Predictive Algorithm in the Prevention of Exercise-Induced Hypoglycemia in Type 1 Diabetes

3. The PILGRIM Study: In Silico Modeling of a Predictive Low Glucose Management System and Feasibility in Youth with Type 1 Diabetes During Exercise

4. Prevention of Hypoglycemia With Predictive Low Glucose Insulin Suspension in Children With Type 1 Diabetes: A Randomized Controlled Trial

5. “Let the Algorithm Do the Work”: Reduction of Hypoglycemia Using Sensor-Augmented Pump Therapy with Predictive Insulin Suspension (SmartGuard) in Pediatric Type 1 Diabetes Patients

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1. Evidence from clinical trials on high-risk medical devices in children: a scoping review;Pediatric Research;2023-09-28

2. Effect of frequency of sensor use on glycaemic control in individuals on sensor-augmented pump therapy with and without Predictive Low Glucose Management System;Diabetes Research and Clinical Practice;2020-01

3. SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient Simulation;Procedia Computer Science;2020

4. Predictive low glucose suspend systems;Glucose Monitoring Devices;2020