A

Development of machine learning and multivariable models for predicting blood transfusion in head and neck microvascular reconstruction for risk‐stratified patient blood management

Head & Neck, vol. 45, pp. 1389–1405

Abstract

BACKGROUND: Although blood transfusions have adverse consequences for microvascular head and neck reconstruction, they are frequently administered. Pre-identifying patients would allow risk-stratified patient blood management. METHODS: Development of machine learning (ML) and logistic regression (LR) models based on retrospective inclusion of 657 patients from 2011 to 2021. Internal validation and comparison with models from the literature by external validation. Development of a web application and a score chart. RESULTS: Our models achieved an area under the receiver operating characteristic curve (ROC-AUC) of up to 0.825, significantly outperforming LR models from the literature. Preoperative hemoglobin, blood volume, duration of surgery and flap type/size were strong predictors. CONCLUSIONS: The use of additional variables improves the prediction for blood transfusion, while models seems to have good generalizability due to surgical standardization and underlying physiological mechanism. The ML models developed showed comparable predictive performance to an LR model. However, ML models face legal hurdles, whereas score charts based on LR could be used after further validation.

Authors 8

  1. Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Department of Oral and Maxillofacial Surgery University Hospital RWTH Aachen Aachen Germany

    Institute of Medical Informatics University Hospital RWTH Aachen Aachen Germany

    SMITH Consortium of the German Medical Informatics Initiative in Aachen Aachen Germany

    Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany

    Institute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany

    SMITH Consortium of the German Medical Informatics Initiative in Aachen, Aachen, Germany

  2. Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Department of Oral and Maxillofacial Surgery University Hospital RWTH Aachen Aachen Germany

    Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany

  3. Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Department of Anaesthesiology University Hospital RWTH Aachen Aachen Germany

    Department of Anaesthesiology, University Hospital RWTH Aachen, Aachen, Germany

  4. University of Cologne

    Affiliation as printed

    Center for Pharmacology, Department I of Pharmacology Medical Faculty, University of Cologne Cologne Germany

    Center for Pharmacology, Department I of Pharmacology, Medical Faculty, University of Cologne, Cologne, Germany

  5. Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Institute of Medical Informatics University Hospital RWTH Aachen Aachen Germany

    SMITH Consortium of the German Medical Informatics Initiative in Aachen Aachen Germany

    Institute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany

    SMITH Consortium of the German Medical Informatics Initiative in Aachen, Aachen, Germany

  6. Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Institute of Medical Informatics University Hospital RWTH Aachen Aachen Germany

    SMITH Consortium of the German Medical Informatics Initiative in Aachen Aachen Germany

    Institute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany

    SMITH Consortium of the German Medical Informatics Initiative in Aachen, Aachen, Germany

  7. Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Institute of Medical Informatics University Hospital RWTH Aachen Aachen Germany

    SMITH Consortium of the German Medical Informatics Initiative in Aachen Aachen Germany

    Institute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany

    SMITH Consortium of the German Medical Informatics Initiative in Aachen, Aachen, Germany

  8. Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Department of Oral and Maxillofacial Surgery University Hospital RWTH Aachen Aachen Germany

    Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany

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References 36