Literature DB >> 3524226

Randomized trial of computer-assisted insulin delivery in patients with type I diabetes beginning pump therapy.

C M Peterson, L Jovanovic, L H Chanoch.   

Abstract

Sixteen patients with type I diabetes were randomly assigned to two groups to evaluate the utility of computer-assisted insulin dosage decision-making. All patients used the same solid-phase reagent strip system for glucose measurement and the same pump. The standard group (n = 9) used standard algorithms for insulin adjustment, whereas the computer group (n = 7) relied on interactive instruction from a small, inexpensive (less than $100) computer. At the beginning of the study, there were no significant differences between groups in C-peptide level, hemoglobin A1c level, age, or duration of diabetes. Mean blood glucose level during the study for the computer group was 121 mg/dl (6.7 mM), which was significantly lower (p less than 0.01) than glucose levels charted by the standard group: 148 mg/dl (8.2 mM). Mean number of blood glucose values charted by the computer group (58 per week) was significantly (p less than 0.01) greater than the number charted by the standard group (51 per week). Hemoglobin A1c values at six weeks correlated with the mean number of blood glucose values charted per week of the study. There was no difference between groups in symptomatic hypoglycemic episodes. Computer-assisted insulin dose decision-making is feasible, safe, and effective in enabling persons with type I diabetes mellitus to achieve lower mean blood glucose values over a six-week period while initiating pump therapy.

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Year:  1986        PMID: 3524226     DOI: 10.1016/0002-9343(86)90184-1

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  8 in total

1.  Research questions for systematic reviews must be unambiguous from protocol stage.

Authors:  G Eysenbach
Journal:  BMJ       Date:  1999-11-06

2.  The Columbia Registry of Controlled Clinical Computer Trials.

Authors:  E A Balas; J A Mitchell; K Bopp; G D Brown; B T Ewigman
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

3.  Parameters affecting postprandial blood glucose: effects of blood glucose measurement errors.

Authors:  Theodor Koschinsky; Sascha Heckermann; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2008-01

4.  Automatic data processing to achieve a safe telemedical artificial pancreas.

Authors:  M Elena Hernando; Gema García-Sáez; Iñaki Martínez-Sarriegui; Agustín Rodríguez-Herrero; Carmen Pérez-Gandía; Mercedes Rigla; Alberto de Leiva; Ismael Capel; Belén Pons; Enrique J Gómez
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

5.  Quest for the artificial pancreas: combining technology with treatment.

Authors:  Rebecca A Harvey; Youqing Wang; Benyamin Grosman; Matthew W Percival; Wendy Bevier; Daniel A Finan; Howard Zisser; Dale E Seborg; Lois Jovanovic; Francis J Doyle; Eyal Dassau
Journal:  IEEE Eng Med Biol Mag       Date:  2010 Mar-Apr

6.  A Run-to-Run Control Strategy to Adjust Basal Insulin Infusion Rates in Type 1 Diabetes.

Authors:  Cesar C Palerm; Howard Zisser; Lois Jovanovič; Francis J Doyle
Journal:  J Process Control       Date:  2008       Impact factor: 3.666

7.  Computerized management of diabetes: a synthesis of controlled trials.

Authors:  E A Balas; S A Boren; G Griffing
Journal:  Proc AMIA Symp       Date:  1998

Review 8.  Artificial Intelligence in Decision Support Systems for Type 1 Diabetes.

Authors:  Nichole S Tyler; Peter G Jacobs
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

  8 in total

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