Abstract
Objective To construct a regression model for endogenous glucose production (EGP) as a function of age, and compare this with glucose supplementation using commonly used dextrose-based saline solutions at fluid maintenance rate in children.
Design A model was constructed based on EGP data, as quantified by [6,6-2H2] glucose dilution after fasting overnight during normoglycaemia, in 40 healthy subjects aged 2.5-54.3 years old. The data were analysed using non-linear regression modelling with a 1-phase exponential decay curve fit. This model was compared to the amount of glucose provided with 2.5% or 5% dextrose-based saline solutions infused at fluid maintenance rate.
Results Non-linear regression analysis of the EGP data yielded the following regression model: EGP (mg/kg/min) = 6.50 × 2.72-0.145 × age (y)+1.93. Glucose supplementation at fluid maintenance rate with a 5% dextrose-based saline solution ranged from 46% at age 1 year to 55% at age 18 years of the glucose required to preclude the need for EGP. With a 2.5% dextrose-based solution, these percentages are 23% at age 1 year to 27% at age 18 years.
Conclusions we present an accurate non-linear regression model for EGP as a function of age. With standard dextrose-based saline solutions infused at fluid maintenance rate, only approximately 50% or less of EGP is provided. With prolonged infusion of these solutions, the deficit between exogenous glucose supplementation and EGP may induce a catabolic state and may ultimately lead to hypoglycaemia, especially in younger children.
| Original language | English |
|---|---|
| Pages (from-to) | 1098-1102 |
| Number of pages | 5 |
| Journal | Archives of Disease in Childhood: Education and Practice Edition |
| Volume | 99 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 1 Dec 2014 |
| Externally published | Yes |
Fingerprint
Dive into the research topics of 'Endogenous glucose production from infancy to adulthood: A non-linear regression model'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver