PMID- 20001683
OWN - NLM
STAT- MEDLINE
DCOM- 20100324
LR  - 20181217
IS  - 1557-8593 (Electronic)
IS  - 1520-9156 (Linking)
VI  - 11
IP  - 12
DP  - 2009 Dec
TI  - A new model to estimate bolus insulin need.
PG  - 813-7
LID - 10.1089/dia.2009.0055 [doi]
AB  - BACKGROUND: Patients with type 1 diabetes usually use the carbohydrate (CHO) 
      counting method to establish their bolus insulin need. However, most still 
      struggle with blood glucose control. We believe that for good control their 
      insulin requirements should strive to mimic the insulin secretion of those 
      without diabetes. The objective here is to develop, from first principles, a 
      better model than the CHO counting model for calculating the bolus insulin need 
      of subjects without diabetes. Such a model may also provide better blood glucose 
      control for patients with type 1 diabetes. This will be investigated in a future 
      article. METHODS: Equations for metabolism of CHO and for insulin response were 
      derived from first principles. Clinical trials were used to verify these models. 
      The final results--namely, the new bolus insulin requirement equations--were 
      verified using clinical trials by other researchers (Wolever and co-workers). 
      Their methods used are described in their articles given in the list of 
      references. RESULTS: The postprandial insulin secretion relationships resulted in 
      an average Pearson R(2) of 0.807 (for the new method) versus the old method's 
      R(2) of 0.562 (CHO counting). CONCLUSIONS: The newly derived equation provides a 
      better approximation than the CHO counting method of insulin secretion due to 
      metabolized blood glucose energy from ingested carbohydrates for those without 
      diabetes. We believe that insulin dosage requirements for a patient with type 1 
      diabetes should mimic the insulin secretion of those without diabetes. If this is 
      true, it means that the new equation should also estimate bolus insulin need for 
      a patient with type 1 diabetes more accurately than before. This will be 
      investigated in a future article.
FAU - Mathews, Edward H
AU  - Mathews EH
AD  - Faculty of Engineering, North-West University, Pretoria, Republic of South 
      Africa.
FAU - Pelzer, Ruaan
AU  - Pelzer R
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Diabetes Technol Ther
JT  - Diabetes technology & therapeutics
JID - 100889084
RN  - 0 (Blood Glucose)
RN  - 0 (Dietary Carbohydrates)
RN  - 0 (Hypoglycemic Agents)
RN  - 0 (Insulin)
SB  - IM
MH  - Animals
MH  - Blood Glucose/*analysis/metabolism
MH  - Carbohydrate Metabolism/physiology
MH  - Diabetes Mellitus, Type 1/*therapy
MH  - Dietary Carbohydrates/*metabolism
MH  - Hypoglycemic Agents/*administration & dosage/blood
MH  - Insulin/*blood/metabolism
MH  - Insulin Secretion
MH  - Models, Biological
MH  - *Models, Statistical
MH  - Rats
MH  - Rats, Sprague-Dawley
EDAT- 2009/12/17 06:00
MHDA- 2010/03/25 06:00
CRDT- 2009/12/17 06:00
PHST- 2009/12/17 06:00 [entrez]
PHST- 2009/12/17 06:00 [pubmed]
PHST- 2010/03/25 06:00 [medline]
AID - 10.1089/dia.2009.0055 [doi]
PST - ppublish
SO  - Diabetes Technol Ther. 2009 Dec;11(12):813-7. doi: 10.1089/dia.2009.0055.