Literature DB >> 3838930

The evaluation of a pocket computer as an aid to insulin dose determination by patients.

L H Chanoch, L Jovanovic, C M Peterson.   

Abstract

A small and inexpensive computer was programmed to assist patients in making decisions regarding insulin delivery using constant subcutaneous infusion systems. Insulin dosage was based on gender, pre- and postprandial blood glucose, between-meal blood glucose, patient weight, time of day, and when appropriate, the carbohydrate content of food ingested. The system was self-adjusting based on postprandial and fasting blood glucose levels. A developmental phase in which the computer program was refined was undertaken with five highly trained type I patients using an insulin infusion pump. Then, based on the suggestions made by these patients, a final program was used by these same five patients for 1 mo. Computer-assisted insulin delivery resulted in lower mean blood glucose (162 versus 130 mg/dl) and hemoglobin A1c (7.2% versus 5.8%) values when compared with precomputer values. In addition, there was a significant increase in the frequency of blood glucose testing during the computer-assisted periods in that patients monitored their blood glucose 4.9 times per day during the physician-alone period whereas a mean of 7.5 glucose tests were performed during the computer-assisted periods. Patient response to the concept was overwhelmingly favorable. These studies demonstrate that computer-assisted insulin-delivery decision making is feasible, acceptable to patients already accustomed to pump use, safe, effective, and may provide a savings in terms of professional time.

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Year:  1985        PMID: 3838930     DOI: 10.2337/diacare.8.2.172

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


  7 in total

Review 1.  Bolus Advisors: Sources of Error, Targets for Improvement.

Authors:  John Walsh; Ruth Roberts; Timothy S Bailey; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2017-07-25

2.  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

3.  A neural network approach in diabetes management by insulin administration.

Authors:  G Gogou; N Maglaveras; B V Ambrosiadou; D Goulis; C Pappas
Journal:  J Med Syst       Date:  2001-04       Impact factor: 4.460

4.  Lois Jovanovič: a giant in the field of diabetes and pregnancy.

Authors:  Alejandra de Leiva-Pérez; Eulàlia Brugués-Brugués; Alberto de Leiva-Hidalgo
Journal:  Acta Diabetol       Date:  2020-04-08       Impact factor: 4.280

5.  Design of a decision support system to help clinicians manage glycemia in patients with type 2 diabetes mellitus.

Authors:  David Rodbard; Robert A Vigersky
Journal:  J Diabetes Sci Technol       Date:  2011-03-01

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

Review 7.  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

  7 in total

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