Literature DB >> 24996789

Endogenous glucose production from infancy to adulthood: a non-linear regression model.

Hidde H Huidekoper1, Mariëtte T Ackermans2, An F C Ruiter2, Hans P Sauerwein3, Frits A Wijburg1.   

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-(2)H2] 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. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  General Paediatrics; Metabolic; Paediatric Practice

Mesh:

Substances:

Year:  2014        PMID: 24996789     DOI: 10.1136/archdischild-2013-305718

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


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