Literature DB >> 24065010

Effect of sensor-augmented insulin pump therapy and automated insulin suspension vs standard insulin pump therapy on hypoglycemia in patients with type 1 diabetes: a randomized clinical trial.

Trang T Ly1, Jennifer A Nicholas, Adam Retterath, Ee Mun Lim, Elizabeth A Davis, Timothy W Jones.   

Abstract

IMPORTANCE: Hypoglycemia is a critical obstacle to the care of patients with type 1 diabetes. Sensor-augmented insulin pump with automated low-glucose insulin suspension has the potential to reduce the incidence of major hypoglycemic events.
OBJECTIVE: To determine the incidence of severe and moderate hypoglycemia with sensor-augmented pump with low-glucose suspension compared with standard insulin pump therapy. DESIGN, SETTING, AND PARTICIPANTS: A randomized clinical trial involving 95 patients with type 1 diabetes, recruited from December 2009 to January 2012 in Australia.
INTERVENTIONS: Patients were randomized to insulin pump only or automated insulin suspension for 6 months. MAIN OUTCOMES AND MEASURES: The primary outcome was the combined incidence of severe (hypoglycemic seizure or coma) and moderate hypoglycemia (an event requiring assistance for treatment). In a subgroup, counterregulatory hormone responses to hypoglycemia were assessed using the hypoglycemic clamp technique.
RESULTS: Of the 95 patients randomized, 49 were assigned to the standard-pump (pump-only) therapy and 46 to the low-glucose suspension group. The mean (SD) age was 18.6 (11.8) years; duration of diabetes, 11.0 (8.9) years; and duration of pump therapy, 4.1 (3.4) years. The baseline rate of severe and moderate hypoglycemic events in the pump-only group was 20.7 vs 129.6 events per 100 patient months in the low-glucose suspension group. After 6 months of treatment, the event rates decreased from 28 to 16 in the pump-only group vs 175 to 35 in the low-glucose suspension group. The adjusted incidence rate per 100 patient-months was 34.2 (95% CI, 22.0-53.3) for the pump-only group vs 9.5 (95% CI, 5.2-17.4) for the low-glucose suspension group. The incidence rate ratio was 3.6 (95% CI, 1.7-7.5; P <.001). There was no change in glycated hemoglobin in either group: mean, 7.4 (95% CI, 7.2-7.6) to 7.4 (95% CI, 7.2-7.7) in the pump-only group vs mean, 7.6 (95%, CI, 7.4-7.9) to 7.5 (95% CI, 7.3-7.7) in the low-glucose suspension group. Counterregulatory hormone responses to hypoglycemia were not changed. There were no episodes of diabetic ketoacidosis or hyperglycemia with ketosis. CONCLUSIONS AND RELEVANCE: Sensor-augmented pump therapy with automated insulin suspension reduced the combined rate of severe and moderate hypoglycemia in patients with type 1 diabetes. TRIAL REGISTRATION: anzctr.org.au Identifier: ACTRN12610000024044.

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Year:  2013        PMID: 24065010     DOI: 10.1001/jama.2013.277818

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  109 in total

Review 1.  Sensor-Augmented Insulin Pumps and Hypoglycemia Prevention in Type 1 Diabetes.

Authors:  Isabelle Steineck; Ajenthen Ranjan; Kirsten Nørgaard; Signe Schmidt
Journal:  J Diabetes Sci Technol       Date:  2016-10-06

2.  IQWiG Reanalyzes and Raises Questions About an Article by Ly et al Which Concluded Low Glucose Suspend Is Very Beneficial.

Authors:  Lutz Heinemann; Norbert Hermanns
Journal:  J Diabetes Sci Technol       Date:  2015-08-06

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Authors:  Stephen T Bartlett; James F Markmann; Paul Johnson; Olle Korsgren; Bernhard J Hering; David Scharp; Thomas W H Kay; Jonathan Bromberg; Jon S Odorico; Gordon C Weir; Nancy Bridges; Raja Kandaswamy; Peter Stock; Peter Friend; Mitsukazu Gotoh; David K C Cooper; Chung-Gyu Park; Phillip OʼConnell; Cherie Stabler; Shinichi Matsumoto; Barbara Ludwig; Pratik Choudhary; Boris Kovatchev; Michael R Rickels; Megan Sykes; Kathryn Wood; Kristy Kraemer; Albert Hwa; Edward Stanley; Camillo Ricordi; Mark Zimmerman; Julia Greenstein; Eduard Montanya; Timo Otonkoski
Journal:  Transplantation       Date:  2016-02       Impact factor: 4.939

4.  Continuous Glucose Monitoring Adherence: Lessons From a Clinical Trial to Predict Outpatient Behavior.

Authors:  Martin de Bock; Matthew Cooper; Adam Retterath; Jennifer Nicholas; Trang Ly; Timothy Jones; Elizabeth Davis
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

Review 5.  [Insulin pump therapy in children, adolescents and adults].

Authors:  Marietta Stadler; Sandra Zlamal-Fortunat; Ingrid Schütz-Fuhrmann; Birgit Rami-Merhar; Elke Fröhlich-Reiterer; Sabine Hofer; Julia Mader; Michael Resl; Alexandra Kautzky-Willer; Raimund Weitgasser; Rudolf Prager; Martin Bischof
Journal:  Wien Klin Wochenschr       Date:  2016-04       Impact factor: 1.704

6.  [CGM-Continuous Glucose Monitoring--Statement of the Austrian Diabetes Association].

Authors:  Ingrid Schütz-Fuhrmann; Birgit Rami-Merhar; Sabine Hofer; Marietta Stadler; Martin Bischof; Sandra Zlamal-Fortunat; Markus Laimer; Raimund Weitgasser; Rudolf Prager
Journal:  Wien Klin Wochenschr       Date:  2016-04       Impact factor: 1.704

7.  Analysis: The Accuracy and Efficacy of the Dexcom G4 Platinum Continuous Glucose Monitoring System.

Authors:  Cornelis A J van Beers; J H DeVries
Journal:  J Diabetes Sci Technol       Date:  2015-04-27

Review 8.  Hypo- and Hyperglycemic Alarms: Devices and Algorithms.

Authors:  Daniel Howsmon; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2015-04-30

9.  Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis.

Authors:  Clara Mosquera-Lopez; Robert Dodier; Nichole S Tyler; Leah M Wilson; Joseph El Youssef; Jessica R Castle; Peter G Jacobs
Journal:  Diabetes Technol Ther       Date:  2020-05-14       Impact factor: 6.118

10.  Long-Term Improvement in Glucose Control and Counterregulation by Islet Transplantation for Type 1 Diabetes.

Authors:  Michael R Rickels; Amy J Peleckis; Eileen Markmann; Cornelia Dalton-Bakes; Stephanie M Kong; Karen L Teff; Ali Naji
Journal:  J Clin Endocrinol Metab       Date:  2016-08-29       Impact factor: 5.958

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