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Partitioning standard base excess: a new approach.

Thomas John Morgan¹

¹Adult Intensive Care Unit, Mater Adult Hospital, Mater Health Services, Raymond Terrace, South Brisbane, QLD, 4101, Australia. john.morgan@mater.org.au

Journal of Clinical Monitoring and Computing

|November 22, 2011

Summary

This summary is machine-generated.

A new diagnostic tool analyzes metabolic acid-base status by dissecting extracellular base excess (SBE) into nine independent components across interstitial, plasma, and erythrocytic compartments. This offers a more integrated view of acid-base balance.

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Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

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A Simple Fractionated Extraction Method for the Comprehensive Analysis of Metabolites, Lipids, and Proteins from a Single Sample

A Simple Fractionated Extraction Method for the Comprehensive Analysis of Metabolites, Lipids, and Proteins from a Single Sample

Published on: June 1, 2017

Area of Science:

Biochemistry
Physiology
Medical Diagnostics

Background:

Standard or extracellular base excess (SBE) integrates metabolic acid-base status across interstitial, plasma, and erythrocytic compartments (IPE).
Previous attempts to quantify individual contributions to SBE failed to span the CO(2-)stable IPE dimension.
Anstey previously determined unmeasured charged species within the IPE domain.

Purpose of the Study:

To present a novel diagnostic tool that dissects a version of SBE (BEnet) into nine independent components (BEind) referenced to the IPE domain.
To provide a model that reports individualised volumes of plasma, erythrocytes, and interstitial fluid.

Main Methods:

Development of a diagnostic tool based on an IPE model.
Dissection of BEnet into nine independent components: free water, chloride, albumin, unmeasured ions, sodium, potassium, lactate, 'Ca-Mg', and phosphate.
Determination of plasma, erythrocyte, and interstitial fluid volumes.

Main Results:

The tool dissects BEnet into nine independent components (BEind) within the IPE domain.
The model reports specific excesses or deficits of various ions, molecules, and fluid volumes.
Individualised volumes for plasma, erythrocytes, and interstitial fluid are reported.

Conclusions:

The diagnostic tool represents an original contribution to understanding metabolic acid-base status.
Concerns exist regarding the assumption of fixed relationships in certain clinical states (sepsis, shock) and the accuracy of derived IPE volume determinations.
Despite concerns, the tool is anticipated to become a valuable diagnostic addition, particularly for its component analysis of acid-base status.