Domestic Swine in Physiological Research. V. Construction of Acid-Base Alignment Nomograms to Estimate Buffer Base and Base Excess Concentrations in Arterial Blood from Immature Pigs.

Abstract

Inaccurate results are obtained when nomograms or other procedures based on the acid-base characteristics of human blood are used to estimate the buffer base or base excess concentration of porcine blood. The inaccuracies are due primarily to the higher plasma pH and bicarbonate concentration that characterize normal porcine as compared to normal human blood. Smaller errors are introduced by lower porcine plasma protein levels and a slightly higher body temperature. To address these problems, the acid-based characteristics of a population of immature domestic pigs were used to construct a blood acid-base alignment nomograms with scales to estimate porcine buffer base concentration. It was based on average plasma bicarbonate concentration of 31.6 mEq/l and plasma albumin and globulin levels of 25.4 and 32.2 g/l, respectively. A measurement temperature of 38 C was assumed. This nomogram was used subsequently to construct a blood acid-base alignment nomogram with scales to estimate porcine base-excess concentration. It was based on the assignment of zero base excess to blood with a pH of 7.50 and a P CO2 of 40 torr. Construction details, including tabular data reflecting the acid-base characteristics of porcine plasma and erythrocytes, are provided. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1983
Accession Number
ADA129173

Entities

People

  • John P. Hannon

Organizations

  • Letterman Army Hospital

Tags

DTIC Thesaurus Topics

  • Acids
  • Albumins
  • Blood
  • Blood Gases
  • Blood Proteins
  • Calculators
  • Combat Casualty Care
  • Construction
  • Department Of Defense
  • Hematocrit
  • Hemoglobin
  • Materials
  • Metal Matrix Composites
  • Plotting
  • Proteins
  • Solubility
  • United States Government

Readers

  • Analytical Chemistry
  • Cardiovascular Physiology
  • Regression Analysis.