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Three-point transfusion risk score in hepatectomy.

M Lemke1,2, C H L Law1,2, J Li3

  • 1Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.

The British Journal of Surgery
|January 13, 2017
PubMed
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A new three-point score simplifies assessing perioperative red blood cell transfusion risk in hepatectomy patients. This simplified score maintains predictive accuracy compared to existing models.

Area of Science:

  • Hepatobiliary Surgery
  • Transfusion Medicine
  • Surgical Risk Assessment

Background:

  • Perioperative red blood cell transfusions are common in hepatectomy, affecting up to 23% of patients.
  • Existing transfusion risk scores aim to predict this risk.
  • Evaluating these scores and developing a simpler alternative is crucial for clinical practice.

Purpose of the Study:

  • To evaluate the performance of existing transfusion risk scores in a multicentre hepatectomy cohort.
  • To compare these scores with a newly developed simplified transfusion risk score.
  • To determine if a simplified score can accurately predict transfusion risk without sacrificing predictive ability.

Main Methods:

  • A multicentre database of 1287 hepatectomy patients (2008-2012) was analyzed.

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  • External validity of existing scores was assessed using discrimination (AUC) and calibration.
  • A novel three-point risk score was developed using common variables and its performance evaluated.

    • Main Results:

    • 341 patients (26.5%) received red blood cell transfusions.
    • Existing scores showed similar discriminative ability (AUC 0.66-0.68) with good calibration.
    • The new three-point score (hemoglobin ≤12.5 g/dL, primary liver malignancy, major resection) demonstrated comparable performance (AUC 0.66).

    Conclusions:

    • A simplified three-point transfusion risk score effectively assesses perioperative transfusion risk in hepatectomy.
    • This score offers a practical tool for clinicians, simplifying risk assessment.
    • The simplified score achieves similar predictive accuracy to existing, more complex models.