Predicting Platelet Count From Viscoelastic Testing

Viscoelastic testing is a highly recommended cornerstone of modern coagulation medicine, reducing transfusion needs. A disadvantage of viscoelastic tests is the impossibility of making a definitive statement about the platelet count. Therefore, the aim of this retrospective observational study is, on the one hand, to predict the platelet count based on standard ROTEM parameters with the help of several machine learning methods and, on the other hand, to detect a low platelet count ( \<100000 ml-1 and \< 50000 ml-1).

NCT Number	NCT06870851
Lead Sponsor	Kepler University Hospital
Conditions	Thrombocytopenia
Enrollment	2,500 participants
Start Date	2024-10-01
Primary Completion	2025-04 (estimated)
Study Completion	2025-12 (estimated)
Updated on ClinicalTrials.gov	2025-03-11