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Preoperative hemoglobin thresholds for increased risk of "medical" complications in fast-track total hip and knee arthroplasty, a secondary analysis of a machine-learning algorithm.

Christoffer Calov JørgensenChristian MichelsenTroels PetersenHenrik Kehlet
Published in: Transfusion (2024)
A machine-learning model found a hemoglobin threshold of <14.8 g/dL for increased risk of impaired recovery, regardless of gender or age, supporting reevaluation of preoperative anemia thresholds in the elective surgical setting.
Keyphrases
  • machine learning
  • total hip
  • patients undergoing
  • total knee arthroplasty
  • artificial intelligence
  • big data
  • deep learning
  • healthcare
  • red blood cell
  • mental health
  • risk factors
  • iron deficiency
  • neural network