OBJECTIVE: Massive perioperative blood product transfusion may be required with thoracic aortic operations and is associated with poor outcomes. We analyzed independent predictors of massive transfusion in thoracic aortic surgical patients undergoing deep hypothermic circulatory arrest. METHODS: The study consisted of 168 consecutive patients undergoing open thoracic aortic procedures involving deep hypothermic circulatory arrest between July 2005 and August 2008. We identified 26 preoperative and procedural variables as potentially related to blood product use, tested for association with total blood products transfused by multivariate linear regression model, and constructed logistic regression model for massive transfusion (requiring ≥ 5 units of transfused packed red blood cells between incision and 48 postoperative hours). RESULTS: Multivariate linear regression determined that 6 significant variables accounted for 42% of variation in total blood products transfused: age (P = .008), preoperative hemoglobin (P = .04), weight (P = .02), cardiopulmonary bypass time (P < .0001), emergency status (P < .0001), and resternotomy (P < .0001). Final predictive logistic regression model included 1-g/dL increase in preoperative hemoglobin (odds ratio, 0.54; 95% confidence interval, 0.43-0.69; P < .0001), 10-minute increase in cardiopulmonary bypass time (odds ratio, 1.15; 95% confidence interval, 1.05-1.26; P = .0026), and emergency status (odds ratio, 4.02; 95% confidence interval, 1.53-10.55; P = .0047. CONCLUSIONS: Cardiopulmonary bypass time, emergency status, and preoperative hemoglobin were independent predictors of massive transfusion. These variables, along with weight, age, and resternotomy, were associated with total blood product use in thoracic aortic operations involving deep hypothermic circulatory arrest.
OBJECTIVE: Massive perioperative blood product transfusion may be required with thoracic aortic operations and is associated with poor outcomes. We analyzed independent predictors of massive transfusion in thoracic aortic surgical patients undergoing deep hypothermic circulatory arrest. METHODS: The study consisted of 168 consecutive patients undergoing open thoracic aortic procedures involving deep hypothermic circulatory arrest between July 2005 and August 2008. We identified 26 preoperative and procedural variables as potentially related to blood product use, tested for association with total blood products transfused by multivariate linear regression model, and constructed logistic regression model for massive transfusion (requiring ≥ 5 units of transfused packed red blood cells between incision and 48 postoperative hours). RESULTS: Multivariate linear regression determined that 6 significant variables accounted for 42% of variation in total blood products transfused: age (P = .008), preoperative hemoglobin (P = .04), weight (P = .02), cardiopulmonary bypass time (P < .0001), emergency status (P < .0001), and resternotomy (P < .0001). Final predictive logistic regression model included 1-g/dL increase in preoperative hemoglobin (odds ratio, 0.54; 95% confidence interval, 0.43-0.69; P < .0001), 10-minute increase in cardiopulmonary bypass time (odds ratio, 1.15; 95% confidence interval, 1.05-1.26; P = .0026), and emergency status (odds ratio, 4.02; 95% confidence interval, 1.53-10.55; P = .0047. CONCLUSIONS: Cardiopulmonary bypass time, emergency status, and preoperative hemoglobin were independent predictors of massive transfusion. These variables, along with weight, age, and resternotomy, were associated with total blood product use in thoracic aortic operations involving deep hypothermic circulatory arrest.
Authors: Keyvan Karkouti; Duminda N Wijeysundera; Terrence M Yau; W Scott Beattie; Esamelden Abdelnaem; Stuart A McCluskey; Mohammed Ghannam; Eric Yeo; George Djaiani; Jacek Karski Journal: Transfusion Date: 2004-10 Impact factor: 3.157
Authors: A S Kestin; C R Valeri; S F Khuri; J Loscalzo; P A Ellis; H MacGregor; V Birjiniuk; H Ouimet; B Pasche; M J Nelson Journal: Blood Date: 1993-07-01 Impact factor: 22.113
Authors: K Gage Parr; Minalkumar A Patel; Rene Dekker; Raia Levin; Robert Glynn; Jerry Avorn; David S Morse Journal: J Cardiothorac Vasc Anesth Date: 2003-04 Impact factor: 2.628
Authors: Nicholas D Andersen; Asvin M Ganapathi; Jennifer M Hanna; Judson B Williams; Jeffrey G Gaca; G Chad Hughes Journal: J Am Coll Cardiol Date: 2014-01-08 Impact factor: 24.094
Authors: Jennifer M Hanna; Jeffrey E Keenan; Hanghang Wang; Nicholas D Andersen; Jeffrey G Gaca; Frederick W Lombard; Ian J Welsby; G Chad Hughes Journal: J Thorac Cardiovasc Surg Date: 2015-09-28 Impact factor: 5.209
Authors: Brian Lima; Judson B Williams; S Dave Bhattacharya; Asad A Shah; Nicholas Andersen; Jeffrey G Gaca; G Chad Hughes Journal: Am Surg Date: 2011-11 Impact factor: 0.688
Authors: Nicholas D Andersen; Syamal D Bhattacharya; Judson B Williams; Emil L Fosbol; Evelyn L Lockhart; Mayur B Patel; Jeffrey G Gaca; Ian J Welsby; G Chad Hughes Journal: Ann Thorac Surg Date: 2012-05-01 Impact factor: 4.330
Authors: Jeffrey E Keenan; Hanghang Wang; Brian C Gulack; Asvin M Ganapathi; Nicholas D Andersen; Brian R Englum; Yamini Krishnamurthy; Jerrold H Levy; Ian J Welsby; G Chad Hughes Journal: J Thorac Cardiovasc Surg Date: 2016-08-28 Impact factor: 5.209
Authors: Michael L James; Nicholas D Andersen; Madhav Swaminathan; Barbara Phillips-Bute; Jennifer M Hanna; Gregory R Smigla; Michael E Barfield; Syamal D Bhattacharya; Judson B Williams; Jeffrey G Gaca; Aatif M Husain; G Chad Hughes Journal: J Thorac Cardiovasc Surg Date: 2013-04-11 Impact factor: 5.209
Authors: Judson B Williams; Eric D Peterson; Yue Zhao; Sean M O'Brien; Nicholas D Andersen; D Craig Miller; Edward P Chen; G Chad Hughes Journal: J Am Coll Cardiol Date: 2012-09-05 Impact factor: 24.094