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Validation of a Red Blood Cell Transfusion Prediction Model in a Low Transfusion Rate Population.

NCT05581238 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 6428

Last updated 2024-03-07

No results posted yet for this study

Summary

The transfusion risk and clinical knowledge (TRACK) allogeneic blood transfusion prediction model was developed more than ten years ago and demonstrated good discriminative ability in patients with increased risk for allogeneic blood transfusion in an all Italian population. At the time of derivation, dual anti-platelet medication was suggested in the treatment of acute coronary syndrome, but not yet fully implemented.

The aim of this study is to externally validate the TRACK blood transfusion prediction model in the cardiac surgery population of Medisch Spectrum Twente Thoraxcentrum Twente. Additionally, the impact of adding the preoperative use of dual anti-platelet medication, as additional predictive factor, to the TRACK blood transfusion prediction model will be investigated.

Conditions

  • Platelet Aggregation
  • Blood Transfusion

Interventions

OTHER

TRACK-TCT

An extra variable will be added to an existing prediction model. It is hypothesized that the predictive ability will improve and that better distinction could be made between patients with an increased risk for receiving blood transfusions.

Sponsors & Collaborators

  • Medisch Spectrum Twente

    lead OTHER

Principal Investigators

  • Frank R Halfwerk, MD PhD · Medisch Spectrum Twente

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-11-01
Primary Completion
2023-06-30
Completion
2024-01-01

Countries

  • Netherlands

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05581238 on ClinicalTrials.gov