Predicting Platelet Count from Viscoelastic Testing

Kepler University Hospital

Status: Active, not recruiting

Conditions: Thrombocytopenia

Study type: Observational

Funder types: Other

Identifiers

NCT06870851

plateletprediction

Details and patient eligibility

About

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).

Enrollment: 2,500 estimated patients

Sex: All

Ages: 18 to 100 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• ROTEM measurement and platelet count measurement within 3 hours.

Exclusion criteria

• under 18 Years
• more than 3 hours between ROTEM and platelet count measurement