PMID- 20920443
OWN - NLM
STAT- MEDLINE
DCOM- 20110210
LR  - 20211020
IS  - 1932-2968 (Electronic)
IS  - 1932-2968 (Linking)
VI  - 4
IP  - 5
DP  - 2010 Sep 1
TI  - Modeling the effects of subcutaneous insulin administration and carbohydrate 
      consumption on blood glucose.
PG  - 1214-28
AB  - BACKGROUND: Estimation of the magnitude and duration of effects of carbohydrate 
      (CHO) and subcutaneously administered insulin on blood glucose (BG) is required 
      for improved BG regulation in people with type 1 diabetes mellitus (T1DM). The 
      goal of this study was to quantify these effects in people with T1DM using a 
      novel protocol. METHODS: The protocol duration was 8 hours: a 1-3 U subcutaneous 
      (SC) insulin bolus was administered and a 25-g CHO meal was consumed, with these 
      inputs separated by 3-5 hours. The DexCom SEVEN(R) PLUS continuous glucose monitor 
      was used to obtain SC glucose measurements every 5 minutes and YSI 2300 Stat Plus 
      was used to obtain intravenous glucose measurements every 15 minutes. RESULTS: 
      The protocol was tested on 11 subjects at Sansum Diabetes Research Institute. The 
      intersubject parameter coefficient of variation for the best identification 
      method was 170%. The mean percentages of output variation explained by the bolus 
      insulin and meal models were 68 and 69%, respectively, with root mean square 
      error of 14 and 10 mg/dl, respectively. Relationships between the model 
      parameters and clinical parameters were observed. CONCLUSION: Separation of 
      insulin boluses and meals in time allowed unique identification of model 
      parameters. The wide intersubject variation in parameters supports the notion 
      that glucose-insulin models and thus insulin delivery algorithms for people with 
      T1DM should be personalized. This experimental protocol could be used to refine 
      estimates of the correction factor and the insulin-to-carbohydrate ratio used by 
      people with T1DM.
CI  - (c) 2010 Diabetes Technology Society.
FAU - Percival, Matthew W
AU  - Percival MW
AD  - Department of Chemical Engineering, University of California, Santa Barbara, CA 
      93106-5080, USA.
FAU - Bevier, Wendy C
AU  - Bevier WC
FAU - Wang, Youqing
AU  - Wang Y
FAU - Dassau, Eyal
AU  - Dassau E
FAU - Zisser, Howard C
AU  - Zisser HC
FAU - Jovanovic, Lois
AU  - Jovanovic L
FAU - Doyle, Francis J 3rd
AU  - Doyle FJ 3rd
LA  - eng
GR  - R01 DK085628/DK/NIDDK NIH HHS/United States
GR  - R01-DK085628/DK/NIDDK NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PT  - Research Support, U.S. Gov't, Non-P.H.S.
DEP - 20100901
PL  - United States
TA  - J Diabetes Sci Technol
JT  - Journal of diabetes science and technology
JID - 101306166
RN  - 0 (Blood Glucose)
RN  - 0 (Dietary Carbohydrates)
RN  - 0 (Insulin)
SB  - IM
MH  - Adult
MH  - Algorithms
MH  - Blood Glucose/*metabolism
MH  - Diabetes Mellitus, Type 1/*metabolism
MH  - Dietary Carbohydrates/*metabolism
MH  - Female
MH  - Humans
MH  - Injections, Subcutaneous
MH  - Insulin/administration & dosage/*therapeutic use
MH  - Male
MH  - *Models, Biological
MH  - Postprandial Period
MH  - Time Factors
PMC - PMC2956807
EDAT- 2010/10/06 06:00
MHDA- 2011/02/11 06:00
PMCR- 2011/09/01
CRDT- 2010/10/06 06:00
PHST- 2010/10/06 06:00 [entrez]
PHST- 2010/10/06 06:00 [pubmed]
PHST- 2011/02/11 06:00 [medline]
PHST- 2011/09/01 00:00 [pmc-release]
AID - dst.4.5.1214 [pii]
AID - 10.1177/193229681000400522 [doi]
PST - epublish
SO  - J Diabetes Sci Technol. 2010 Sep 1;4(5):1214-28. doi: 10.1177/193229681000400522.