Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion. Academic Article uri icon



  • In blood transfusion studies, plasma transfusion (PPT) and bleeding are known to be associated with risk of prolonged ICU length of stay (ICU-LOS). However, as patients can show significant heterogeneity in response to a treatment, there might exists subgroups with differential effects. The existence and characteristics of these subpopulations in blood transfusion has not been well-studied. Further, the impact of bleeding in patients offered PPT on prolonged ICU-LOS is not known. This study presents a causal and predictive framework to examine these problems. The two-step approach first estimates the effect of bleeding in PPT patients on prolonged ICU-LOS and then estimates risks of bleeding and prolonged ICU-LOS. The framework integrates a classification model for risks prediction and a regression model to predict actual LOS. Results showed that the effect of bleeding in PPT patients significantly increases risk of prolonged ICU-LOS (55%, p=0.00) while no bleeding significantly reduces ICU-LOS (4%, p=0.046).

publication date

  • February 10, 2017



  • Blood Transfusion
  • Hemorrhage
  • Intensive Care Units
  • Length of Stay
  • Machine Learning


PubMed Central ID

  • PMC5333266

Scopus Document Identifier

  • 85027459299

PubMed ID

  • 28269892

Additional Document Info


  • 2016