Ignite Creation Date:
2025-12-24 @ 11:43 PM
Ignite Modification Date:
2025-12-25 @ 9:34 PM
Study NCT ID:
NCT06870851
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2025-03-11
First Post:
2025-03-03
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Predicting Platelet Count From Viscoelastic Testing
Sponsor:
Kepler University Hospital
Organization:
Study Overview
Official Title:
Machine Learning Based Prediction of Platelet Concentration From ROTEM Measurements
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2025-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
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).
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).
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
False
Is an FDA AA801 Violation?: