Literature DB >> 27148807

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

Mary B Abraham1,2, Martin de Bock1,3, Nirubasini Paramalingam1,3, Michael J O'Grady1, Trang T Ly1,2,3, Carly George1, Anirban Roy4, Glenn Spital4, Sophy Karula5, Kristine Heels5, Rebecca Gebert6, Jan M Fairchild7, Bruce R King8, Geoffrey R Ambler5, Fergus Cameron6, Elizabeth A Davis1,2,3, Timothy W Jones1,2,3.   

Abstract

BACKGROUND: Sensor-augmented pump therapy (SAPT) with algorithms to predict impending low blood glucose and suspend insulin delivery has the potential to reduce hypoglycemia exposure. The aim of this study was to determine whether predictive low glucose management (PLGM) system is effective in preventing insulin-induced hypoglycemia in controlled experiments.
METHODS: Two protocols were used to induce hypoglycemia in an in-clinic environment. (A) Insulin bolus: Insulin was administered as a manual bolus through the pump. (B) Increased basal insulin: Hypoglycemia was induced by increasing basal rates overnight to 180%. For both protocols, participants were randomized and studied on 2 separate days; a control day with SAPT alone and an intervention day with SAPT and PLGM activated. The predictive algorithm was programmed to suspend basal insulin infusion when sensor glucose was predicted to be <80 mg/dL in 30 min. The primary outcome was the requirement for hypoglycemia treatment (symptomatic hypoglycemia or plasma glucose <50 mg/dL) and was compared in both control and intervention arms.
RESULTS: With insulin bolus, 24/28 participants required hypoglycemia treatment with SAPT alone compared to 5/28 participants when PLGM was activated (P ≤ 0.001). With increased basal rates, all the eight SAPT-alone participants required treatment for hypoglycemia compared to only one with SAPT and PLGM. There was no post pump-suspend hyperglycemia with insulin bolus (P = 0.4) or increased basal rates (P = 0.69) in participants with 2-h pump suspension on intervention days.
CONCLUSIONS: SAPT with PLGM reduced the requirement for hypoglycemia treatment following insulin-induced hypoglycemia in an in-clinic setting.

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Year:  2016        PMID: 27148807     DOI: 10.1089/dia.2015.0364

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  9 in total

Review 1.  Prevention and Management of Severe Hypoglycemia and Hypoglycemia Unawareness: Incorporating Sensor Technology.

Authors:  Paola Lucidi; Francesca Porcellati; Geremia B Bolli; Carmine G Fanelli
Journal:  Curr Diab Rep       Date:  2018-08-18       Impact factor: 4.810

2.  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

3.  Intermittent Scanning Glucose Monitoring or Predicted Low Suspend Pump Treatment: Does It Impact Time in Glucose Target and Treatment Preference? The QUEST Randomized Crossover Study.

Authors:  Ulrike Schierloh; Gloria A Aguayo; Anna Schritz; Muriel Fichelle; Cindy De Melo Dias; Michel T Vaillant; Ohad Cohen; Inge Gies; Carine de Beaufort
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-31       Impact factor: 6.055

4.  Fibroblast growth factor 21: a novel long-acting hypoglycemic drug for canine diabetes.

Authors:  Xinghao Jiang; Shijie Liu; Yaoqun Wang; Ruonan Zhang; Yeboah Kwaku Opoku; Yinzhuo Xie; Deshan Li; Guiping Ren
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2020-11-20       Impact factor: 3.000

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.

Authors:  Torben Biester; Olga Kordonouri; Martin Holder; Kerstin Remus; Dorothee Kieninger-Baum; Tanja Wadien; Thomas Danne
Journal:  Diabetes Technol Ther       Date:  2017-01-18       Impact factor: 6.118

6.  Effect of predicted low suspend pump treatment on improving glycaemic control and quality of sleep in children with type 1 diabetes and their caregivers: the QUEST randomized crossover study.

Authors:  Ulrike Schierloh; Gloria A Aguayo; Muriel Fichelle; Cindy De Melo Dias; Aljosa Celebic; Michel Vaillant; Katharine Barnard; Ohad Cohen; Carine de Beaufort
Journal:  Trials       Date:  2018-12-04       Impact factor: 2.279

Review 7.  Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications.

Authors:  Giacomo Cappon; Martina Vettoretti; Giovanni Sparacino; Andrea Facchinetti
Journal:  Diabetes Metab J       Date:  2019-08       Impact factor: 5.376

8.  Interference Assessment of Various Endogenous and Exogenous Substances on the Performance of the Eversense Long-Term Implantable Continuous Glucose Monitoring System.

Authors:  Carrie Lorenz; Wendolyn Sandoval; Mark Mortellaro
Journal:  Diabetes Technol Ther       Date:  2018-03-30       Impact factor: 6.118

Review 9.  Severe Hypoglycemia: Is It Still a Threat for Children and Adolescents With Type 1 Diabetes?

Authors:  Tatsuhiko Urakami
Journal:  Front Endocrinol (Lausanne)       Date:  2020-09-15       Impact factor: 5.555

  9 in total

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