Literature DB >> 18056889

Quantifying the impact of a short-interval interruption of insulin-pump infusion sets on glycemic excursions.

Howard Zisser1.   

Abstract

This prospective, open-label study was designed to measure the impact of short-term infusion-set disconnects on glucose levels. Continuous subcutaneous insulin infusion therapy allows for uninterrupted delivery of insulin. Patients disconnect their insulin pumps from their infusion sets when showering, swimming, exercising, or during intimate moments. Interrupting insulin infusion results in cessation of basal insulin delivery. Nineteen subjects with type 1 diabetes were studied on two separate in-clinic days. One hour after arriving at the clinic in a fasting state, subjects either temporarily disconnected their infusion sets from their pumps, interrupting basal insulin infusion for 30 min, or, on a separate day, changed their infusion sets. Glucose levels were monitored for an additional 4 h on both occasions. Changing infusion sets did not affect short-term glucose control. However, the 30-min interruption of basal insulin infusion resulted in significant glucose elevation; approximately 1 mg/dl for each minute basal insulin infusion was interrupted.

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Year:  2007        PMID: 18056889     DOI: 10.2337/dc07-1757

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  18 in total

1.  Insulin Pump Occlusions: For Patients Who Have Been Around the (Infusion) Block.

Authors:  David C Klonoff; Guido Freckmann; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2017-03-30

2.  Accuracy of a new patch pump based on a microelectromechanical system (MEMS) compared to other commercially available insulin pumps: results of the first in vitro and in vivo studies.

Authors:  Sophie Borot; Sylvia Franc; Justine Cristante; Alfred Penfornis; Pierre-Yves Benhamou; Bruno Guerci; Hélène Hanaire; Eric Renard; Yves Reznik; Chantal Simon; Guillaume Charpentier
Journal:  J Diabetes Sci Technol       Date:  2014-07-30

3.  Artificial pancreas: model predictive control design from clinical experience.

Authors:  Chiara Toffanin; Mirko Messori; Federico Di Palma; Giuseppe De Nicolao; Claudio Cobelli; Lalo Magni
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

4.  Identification of intraday metabolic profiles during closed-loop glucose control in individuals with type 1 diabetes.

Authors:  Sami S Kanderian; Stu Weinzimer; Gayane Voskanyan; Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

5.  Update on mathematical modeling research to support the development of automated insulin delivery systems.

Authors:  Garry M Steil; Brian Hipszer; Jaques Reifman
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

6.  Changes in basal insulin infusion rates with subcutaneous insulin infusion: time until a change in metabolic effect is induced in patients with type 1 diabetes.

Authors:  Lutz Heinemann; Leszek Nosek; Christoph Kapitza; Matthias-Axel Schweitzer; Lars Krinelke
Journal:  Diabetes Care       Date:  2009-06-01       Impact factor: 19.112

7.  Real-Time hypoglycemia prediction suite using continuous glucose monitoring: a safety net for the artificial pancreas.

Authors:  Eyal Dassau; Fraser Cameron; Hyunjin Lee; B Wayne Bequette; Howard Zisser; Lois Jovanovic; H Peter Chase; Darrell M Wilson; Bruce A Buckingham; Francis J Doyle
Journal:  Diabetes Care       Date:  2010-06       Impact factor: 17.152

8.  Randomized Cross-Over Study Comparing Two Infusion Sets for CSII in Daily Life.

Authors:  Guido Freckmann; Stephan Arndt; Albrecht Fießelmann; Gerhard Klausmann; Kristina Pralle; Thomas Künsting; Bettina Petersen
Journal:  J Diabetes Sci Technol       Date:  2016-09-25

Review 9.  Insulin pump (dose-to-dose) accuracy: what does it mean and when is it important?

Authors:  Howard Zisser
Journal:  J Diabetes Sci Technol       Date:  2014-08-26

10.  The hypoglycemia-prevention effect of sensor-augmented pump therapy with predictive low glucose management in Japanese patients with type 1 diabetes mellitus: a short-term study.

Authors:  Akihiro Katayama; Atsuhito Tone; Mayu Watanabe; Sanae Teshigawara; Satoshi Miyamoto; Jun Eguchi; Atsuko Nakatsuka; Kenichi Shikata; Jun Wada
Journal:  Diabetol Int       Date:  2019-09-16
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