%0 Journal Article %T Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion %A Che Ngufor %A Daryl Kor %A Dennis Murphree %A Jyotishman Pathak %A Nageswar Madde %A Rickey Carter %A Sudhi Upadhyaya %J Archive of "AMIA Annual Symposium Proceedings". %D 2016 %X 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) %K Blood transfusion %K perioperative %K bleeding %K machine learning %K classification %U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333266/