Illinois Data Bank

Viscoelastic coagulation testing for prediction of survival in horses with colic

Coagulation testing (VCM Vet™) was performed on 57 horses with acute abdominal pain at admission to the University of Illinois Veterinary Teaching Hospital. Additional clinical data were recorded retrospectively. ROC analysis was performed to determine the optimal number of abnormal coagulation parameters for coagulopathy diagnosis based on survival. General linear regression (GLM) and random forest (RF) classification models were developed to predict short-term survival. A training cohort of 40 horses was used for model development, and model performance was determined using the remaining 17 horses.

Life Sciences
horse; coagulation; colic; abdominal pain; survival; machine learning; blood clotting; viscoelastic testing
CC BY
Rebecca C. Bishop
263 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-6354818_V1 2025-05-15

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Dataset update: {"publication_state"=>["file embargo", "released"]} 2025-05-15T13:00:08Z
Dataset update: {"publication_state"=>["released", "file embargo"]} 2025-04-30T18:37:16Z
Dataset update: {"publication_state"=>["file embargo", "released"]} 2025-04-30T18:37:15Z
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RelatedMaterial update: {"note"=>[nil, ""]} 2025-04-30T18:37:14Z
Dataset update: {"publication_state"=>["released", "file embargo"]} 2025-04-21T20:38:26Z
Dataset update: {"publication_state"=>["file embargo", "released"]} 2025-04-21T20:38:26Z
Dataset update: {"title"=>["Vscoelastic coagulation testing for prediction of survival in horses with colic ", "Viscoelastic coagulation testing for prediction of survival in horses with colic "]} 2025-04-21T20:38:25Z
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