Mechanistic Modeling of the Effects of Acidosis on Thrombin Generation

Abstract

BACKGROUND: Acidosis, a frequent complication of trauma and complex surgery, results from tissue hypoperfusion and IV resuscitation with acidic fluids. While acidosis is known to inhibit the function of distinct enzymatic reactions, its cumulative effect on the blood coagulation system is not fully understood. Here, we use computational modeling to test the hypothesis that acidosis delays and reduces the amount of thrombin generation in human blood plasma. Moreover, we investigate the sensitivity of different thrombin generation parameters to acidosis, both at the individual and population level. METHODS: We used a kinetic model to simulate and analyze the generation of thrombin and thrombin antithrombin complexes (TAT), which were the end points of this study. Large groups of temporal thrombin and TAT trajectories were simulated and used to calculate quantitative parameters, such as clotting time (CT), thrombin peak time, maximum slope of the thrombin curve, thrombin peak height, area under the thrombin trajectory (AUC), and prothrombin time. The resulting samples of parameter values at different pH levels were compared to assess the acidosis-induced effects. To investigate intersubject variability, we parameterized the computational model using the data on clotting factor composition for 472 subjects from the Leiden Thrombophilia Study. To compare acidosis-induced relative parameter changes in individual ( virtual ) subjects, we estimated the probabilities of relative change patterns by counting the pattern occurrences in our virtual subjects. Distribution overlaps for thrombin generation parameters at distinct pH levels were quantified using the Bhattacharyya coefficient. RESULTS: Acidosis in the range of pH 6.9 to 7.3 progressively increased CT, thrombin peak time, AUC, and prothrombin time, while decreasing maximum slope of the thrombin curve and thrombin peak height (P < 10 5).

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2015
Accession Number
ADA622098

Entities

People

  • Alexander Y. Mitrophanov
  • Frits R. Rosendaal
  • Jaques Reifman

Organizations

  • United States Army Medical Research and Development Command

Tags

DTIC Thesaurus Topics

  • Anticoagulants
  • Blood
  • Blood Coagulation
  • Blood Coagulation Factors
  • Blood Plasma
  • Chemical Reactions
  • Coefficients
  • Computational Modeling
  • Confidence Limits
  • Data Science
  • Fibrinolysis
  • Network Science
  • Probability
  • Proteins
  • Prothrombin
  • Statistical Analysis
  • Statistical Samples

Fields of Study

  • Biology
  • Medicine

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Trauma Surgery or Emergency Medicine.