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Identification of Neutrophil Extracellular Traps in Paraffin-Embedded Feline Arterial Thrombi using Immunofluorescence Microscopy
Published on: March 29, 2020
Comparing citrated native, kaolin-activated, and tissue factor-activated samples and determining intraindividual
Amrita Banerjee1, Shauna L Blois, R Darren Wood
1Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Summary
Thromboelastography (TEG) is a valuable point-of-care test for assessing blood clotting in cats. This study found TEG reliable for feline hemostasis evaluation, with no significant differences between sequential samples.
Area of Science:
- Veterinary Medicine
- Hematology
- Point-of-Care Diagnostics
Background:
- Thromboelastography (TEG) is a whole blood test measuring hemostasis.
- Its application in feline medicine is not well-documented.
- Establishing reference ranges and assessing sample variability is crucial for clinical use.
Purpose of the Study:
- To document the range of TEG variables in healthy cats.
- To compare three different TEG activation methods (citrated native, kaolin, tissue factor).
- To determine the reproducibility of TEG measurements from sequential blood samples.
Main Methods:
- Jugular venipuncture was performed on 20 healthy cats.
- Two blood samples were collected from each cat two hours apart.
- TEG analysis was conducted on citrated native, kaolin-activated, and tissue factor-activated samples.
- Key parameters recorded: Reaction time (R), alpha angle (α), kappa value (κ), and maximum amplitude (MA).
Main Results:
- No significant differences were observed between the first and second blood samples.
- Significant differences were found among the three TEG activation methods for R, α, κ, and MA.
- Mean values varied across the activation methods, indicating method-dependent results.
Conclusions:
- TEG is a potentially suitable method for evaluating hemostasis in cats.
- Reproducibility between sequential samples is good.
- Careful consideration of the activation method is necessary due to significant differences observed.

