Computational Analysis of Intersubject Variability and Thrombin Generation in Dilutional Coagulopathy

Abstract

BACKGROUND: Blood dilution is a frequent complication of massive transfusion during trauma and surgery. This article investigates the quantitative effects of blood plasma dilution on thrombin generation in the context of intersubject variability. STUDY DESIGN AND METHODS: A thoroughly validated computational model was used to simulate thrombin generation curves for 472 healthy subjects in the Leiden Thrombophilia Study. Individual thrombin curves were calculated for undiluted blood and for different dilution scenarios. For every such curve, five standard quantitative parameters of thrombin generation were calculated and analyzed. RESULTS: Thrombin generation parameters in diluted blood plasma displayed significant intersubject variability (with a coefficient of variation up to approx. 28%). Nevertheless, dilutional effects in the majority (or all) of the subjects in the study group were characterized by persistent patterns. In particular, the largest dilutioninduced change typically occurred in the maximum slope (MS) of the thrombin curve, followed by a change in thrombin peak height (PH), whereas the smallest change often occurred in the area under the curve. The identified patterns demonstrated considerable robustness to variations in dilution scenario and tissue factor concentration.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA568041

Entities

People

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

Organizations

  • United States Army Medical Research and Development Command

Tags

DTIC Thesaurus Topics

  • Anticoagulants
  • Application Software
  • Biomedical Research
  • Biotechnology
  • Blood
  • Blood Coagulation
  • Blood Coagulation Factors
  • Blood Plasma
  • Blood Transfusions
  • Data Sets
  • Demographic Cohorts
  • Department Of Defense
  • Human Population
  • Network Science
  • Proteins
  • Standards
  • Statistical Analysis

Fields of Study

  • Biology
  • Medicine

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