CClinicalTrials.gg
Active, not recruitingNCT06870851Updated Mar 11, 2025

Predicting Platelet Count From Viscoelastic Testing

An observational study in Thrombocytopenia, sponsored by Kepler University Hospital. Active, not recruiting at 1 site in Austria. Open to participants aged 18 Years to 100 Years. Per ClinicalTrials.gov, last updated 2025-03-11.

Sponsored by Kepler University Hospital · Observational

From the registry’s dates

  • Primary completion was expected by Apr 2025, 1 year 6 months ago, but the record still lists the study as active, not recruiting.
Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
2,500
Ages
18 Years to 100 Years
Sex
All
01

Study 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).

02

Conditions studied

  • Thrombocytopenia

Browse trials for

03

In context

Thrombocytopenia

697 studies on the registry are indexed under Thrombocytopenia; 153 are open to participants now.

This study's planned enrollment of 2,500 is above the median of 120 across 183 observational studies indexed under Thrombocytopenia.

Browse Thrombocytopenia studies →

Lead sponsor

Kepler University Hospital is the lead sponsor of 32 studies on the registry; 3 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 100 Years
Sexes eligible
All
Sampling method
Non-probability sample

Study population

surgical patients in the operating room and the intensive care of participating centers

Inclusion criteria

  • ROTEM measurement and platelet count measurement within 3 hours.

Exclusion criteria

Exclusion Criteria:

  • under 18 Years
  • more than 3 hours between ROTEM and platelet count measurement
05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
2,500 participants (estimated)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Predicition of platelet conentration from ROTEM measurements using machine learning

    Several machine learning techniques for the prediction of the platelet concentration from ROTEM parameters (regression approach), namely linear regression, Random Forest, neural network, gradient boosting machine (GBM) and adaptive boosting (ADA) will be assessed. Describing the quality of these prediction models, the mean square error (MSE), the root of the mean of the square of errors(RMSE), the mean absolute error (MAE), and the root mean squared logarithmic error (RMSLE), and the coefficient of determination (R2) will be used.

    Time frame: Obtained ROTEM analyses are the baseline at all four centres and patients will be included if platelets were determined concomitantly within three hours on the same day.

07

Study locations

1 site
  • Universitätsklinik für Anästhesie und Intensivmedizin
    Linz, Austria
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 11, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT06870851
Lead sponsor
Kepler University Hospital
Responsible party
Sponsor
First posted
Mar 11, 2025
Start date
Oct 1, 2024
Primary completion
Apr 2025 (estimated)
Completion
Dec 2025 (estimated)
Last update
Mar 11, 2025

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is active, not recruiting, as verified in Mar 2025. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion