Evaluation of automated and manual cross-matching techniques 1.0

  • Research type

    Research Study

  • Full title

    Are automated cross-matching methods more reliable, efficient and cost effective, when compared to traditional manual methods?

  • IRAS ID

    137218

  • Contact name

    Stephen Hughes

  • Contact email

    stephen.hughes@chester.ac.uk

  • Sponsor organisation

    Betsi Cadwaladwr ULHB

  • Research summary

    The study will involve using patient samples that have already been collected by clinicians as part of the patients routine care. Part of the patients samples (serum and/or blood) may be used to compare manual versus automated cross-matching methods of patient to donor compatibility.

    A cross-match evolves using donor red cells and testing them against patients plasma to check for any in-vitro reactions, which would mimic the reaction that may be present within the patient.

    A manual cross-match is performed when patients present with antibodies detected within their sample, this ensures compatible blood is provided.

  • REC name

    North West - Greater Manchester South Research Ethics Committee

  • REC reference

    13/NW/0824

  • Date of REC Opinion

    22 Nov 2013

  • REC opinion

    Favourable Opinion