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Development and validation of a generalizable model for predicting major transfusion during spine fusion surgery

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dc.contributor.author Carabini, Louanne M.
dc.contributor.author Zeeni, Carine A.
dc.contributor.author Moreland, Natalie C.
dc.contributor.author Gould, Robert W.
dc.contributor.author Avram, Michael J.
dc.contributor.author Hemmer, Laura B.
dc.contributor.author Bebawy, John F.
dc.contributor.author Sugrue, Patrick A.
dc.contributor.author Koski, Tyler R.
dc.contributor.author Koht, Antoun H.
dc.contributor.author Gupta, Dhanesh K.
dc.date.accessioned 2025-01-24T11:40:24Z
dc.date.available 2025-01-24T11:40:24Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/10938/29445
dc.description.abstract "BACKGROUND:: Surgery for posterior spine instrumentation often requires major transfusion. The aim of this study was to develop and test the validity of a model for predicting intraoperative major transfusion (>4 U total red blood cells), based on preoperative patient and surgical variables, that was applicable to adult patients undergoing cervical, thoracic, and/or lumbar spine deformity surgery with and without osteotomies. MATERIALS AND METHODS:: The perioperative data from 548 patients who underwent 3 levels of posterior spinal fusion with instrumentation between January 1, 2003 and May 30, 2009, were retrospectively collected to create a model for predicting major blood transfusion. The validity of the model was retrospectively tested with a separate data set of 95 patients who underwent surgery from June 1, 2009 through September 30, 2010. RESULTS:: There was a 59.5% incidence of major transfusion in the derivation set of patients. Independent predictors of major transfusion were operation duration, number of posterior levels instrumented, surgical complexity score, and preincision hemoglobin. This model was able to predict major transfusion significantly better than a previously published model (ROCAUC=0.89; 99% confidence interval, 0.80-0.90; P<0.001). CONCLUSIONS:: Our model has an increased accuracy for predicting the probability of major transfusion compared with a previously published model. In addition, our model is applicable to all types of spine fusion surgery and accounts for the complexity of surgical instrumentation, the number of levels instrumented, and the predicted duration of surgery as independent variables. Copyright © 2014 by Lippincott Williams & Wilkins."
dc.language.iso en
dc.publisher Lippincott Williams and Wilkins
dc.relation.ispartof Journal of Neurosurgical Anesthesiology
dc.source Scopus
dc.subject Lumbar fusion
dc.subject Major transfusion
dc.subject Preoperative assessment
dc.subject Spine
dc.subject Adult
dc.subject Aged
dc.subject Blood transfusion
dc.subject Cohort studies
dc.subject Female
dc.subject Fluid therapy
dc.subject Hemostasis
dc.subject Humans
dc.subject Male
dc.subject Middle aged
dc.subject "Models, theoretical"
dc.subject Predictive value of tests
dc.subject Retrospective studies
dc.subject Spinal fusion
dc.subject Desmopressin
dc.subject Fresh frozen plasma
dc.subject Hemoglobin
dc.subject Hetastarch
dc.subject Human serum albumin
dc.subject Recombinant blood clotting factor 7a
dc.subject Article
dc.subject Bleeding
dc.subject Cohort analysis
dc.subject Cryoprecipitate
dc.subject Crystalloid
dc.subject Erythrocyte transfusion
dc.subject Human
dc.subject Lumbar spine
dc.subject Major clinical study
dc.subject Model
dc.subject Operation duration
dc.subject Perioperative period
dc.subject Prediction
dc.subject Priority journal
dc.subject Retrospective study
dc.subject Spine fusion
dc.subject Spine surgery
dc.subject Surgical patient
dc.subject Thrombocyte transfusion
dc.subject Validation study
dc.subject Physiology
dc.subject Predictive value
dc.subject Procedures
dc.subject Statistics and numerical data
dc.subject Theoretical model
dc.subject Utilization
dc.title Development and validation of a generalizable model for predicting major transfusion during spine fusion surgery
dc.type Article
dc.contributor.department Anesthesiology
dc.contributor.faculty Faculty of Medicine (FM)
dc.contributor.institution American University of Beirut
dc.identifier.doi https://doi.org/10.1097/ANA.0000000000000014
dc.identifier.pmid 24714381
dc.identifier.eid 2-s2.0-84902274676


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