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Related Concept Videos

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Blood Transfusion

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Blood transfusion is a critical medical procedure that saves lives and treats various medical conditions. It involves transferring blood from a donor to a recipient. This process requires a thorough understanding of the ABO blood group system and its associated antigens and antibodies.
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A blood transfusion is a medical procedure used to replace blood lost due to injury, surgery, or to treat conditions such as anemia or cancer. During a transfusion, donor blood is...
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Blood transfusion is a therapeutic measure to restore the blood volume after extensive blood loss due to an accident or a medical procedure. Blood transfusion involves drawing a certain amount of blood from a suitable donor and infusing it into the recipient.
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Porcine Liver Transplantation Without Veno-Venous Bypass As an Extended Criteria Donor Model
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A predictive model for blood transfusion during liver resection.

Bingbing Cao1, Peng Hao2, Weibing Guo1

  • 1Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
|January 29, 2022
PubMed
Summary

A new predictive model accurately identifies patients needing intraoperative blood transfusions. This tool aids in preoperative counseling, resource optimization, and cost reduction for surgical patients.

Keywords:
Blood transfusionIntraoperativeLiver resectionNomogramRisk factors

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Area of Science:

  • Anesthesiology
  • Surgical Oncology
  • Predictive Analytics

Background:

  • Intraoperative blood transfusion is common in liver resections.
  • Predicting transfusion needs can improve patient outcomes and resource allocation.
  • Existing models lack accuracy for preoperative prediction.

Purpose of the Study:

  • To develop and validate a predictive model for intraoperative blood transfusion risk.
  • To identify key preoperative predictors of transfusion needs.
  • To aid anesthesiologists in optimizing anesthetic management.

Main Methods:

  • A multivariate logistic regression model was developed using data from 582 elective liver resection patients.
  • The dataset was split into training (n=410) and validation (n=172) sets.
  • Model performance was evaluated using concordance index (C-index), area under the receiver operating characteristic curve (AUC), and decision curve analysis (DCA).

Main Results:

  • The final model identified 8 significant predictors: preoperative hemoglobin, prothrombin time, total bilirubin, respiratory diseases, cirrhosis, lesion size, macrovascular invasion, and prior abdominal surgery.
  • The model demonstrated excellent discrimination with C-indices of 0.834 (training) and 0.831 (validation).
  • Calibration curves confirmed good prediction-observation consistency, and DCA indicated clinical utility.

Conclusions:

  • A validated predictive model accurately identifies patients at high risk for intraoperative blood transfusion.
  • This tool can guide preoperative transfusion counseling, optimize healthcare resources, and reduce costs.
  • The model supports improved anesthetic management during surgery.