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 |