Machine-learning models to predict iron recovery after blood donation: a model development and external validation study.

Journal: The Lancet. Haematology
Published Date: Jun 1, 2025

Abstract

BACKGROUND: Machine-learning models directly predicting iron biomarkers after blood donation could help to manage donation-associated iron deficiency and avoid low haemoglobin deferrals. No such models have been externally validated internationally. Our aim was to develop and externally validate machine-learning models predicting returning blood donors' haemoglobin and ferritin.

Authors

  • Wanjin Li
    Department of Epidemiology, Biostatistics and Occupational Health, McGill School of Population and Global Health, Montréal, Canada.
  • Chen-Yang Su
    Quantitative Life Sciences, McGill University, Montréal, Canada.
  • Amber Meulenbeld
    Donor Medicine Research, Sanquin Research, Amsterdam, The Netherlands.
  • Huzbah Jagirdar
    Department of Epidemiology, Biostatistics and Occupational Health, McGill School of Population and Global Health, Montréal, Canada.
  • Mart P Janssen
    Transfusion Technology Assessment, Department of Research, Sanquin Blood Supply Foundation, Amsterdam, Netherlands.
  • Ronel Swanevelder
    Business Intelligence, South African National Blood Service, Johannesburg, South Africa.
  • Roberta Bruhn
    Vitalant Research Institute, San Francisco, CA, USA.
  • Zhanna Kaidarova
    Vitalant Research Institute, San Francisco, CA, USA.
  • Marjorie D Bravo
    Vitalant, Scottsdale, AZ, USA.
  • Sophie Cao
    School of Computer Science, McGill University, Montréal, QC, Canada.
  • Brian Custer
    Vitalant Research Institute, San Francisco, CA, USA; Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Karin van den Berg
    South Africa National Blood Service, Johannesburg, South Africa; Division of Clinical Haematology, University of the Free State, Bloemfontein, South Africa.
  • W Alton Russell
    Department of Epidemiology, Biostatistics and Occupational Health, McGill School of Population and Global Health, Montréal, Canada. Electronic address: alton.russell@mcgill.ca.

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