Estimatability of blood chemistry variables based on a two-compartmented thermodynamic model

✍ Scribed by Seiichi Takasugi; Paul Morton; Donald A.B. Lindberg; Edward C. DeLand

• Publisher: Elsevier Science
• Year: 1980
• Tongue: English
• Weight: 954 KB
• Volume: 13
• Category: Article
• ISSN: 0010-4809
• DOI: 10.1016/0010-4809(80)90025-7

✦ Synopsis

A two-compartment thermodynamic model was developed to analyze blood chemistry data in order to hypothesize acceptable values for physiologic variables that are not easily accessible during the usual clinical examination. The operation of the model, which determines the distribution of chemical components in the blood at steady state based on electrochemical potential, was successfully simulated by a linear regression model with four observation variables: plasma Na, K, Cl, and HC03 concentrations. The regression model yielded a number of indices and characteristics of biomedical relationships; i.e., (i) Na and K concentrations in the red cell are difficult to estimate, while free energy parameters of active transport of these species can be estimated; (ii) plasma K is unique in its independence of many species in plasma, etc.