Literature DB >> 14759450

Predictors of transfusion requirements for cardiac surgical procedures at a blood conservation center.

David M Moskowitz1, James J Klein, Aryeh Shander, Katherine M Cousineau, Richard S Goldweit, Carol Bodian, Seth I Perelman, Hyun Kang, Daniel A Fink, Howard C Rothman, M Arisan Ergin.   

Abstract

BACKGROUND: Previous studies defining perioperative risk factors for allogeneic transfusion requirements in cardiac surgery were limited to highly selected cardiac surgery populations or were associated with high transfusion rates. The purpose of this study was to determine perioperative risk factors and create a formula to predict transfusion requirements for major cardiac surgical procedures in a center that practices a multimodality approach to blood conservation.
METHODS: We performed an observational study on 307 consecutive patients undergoing coronary artery bypass grafting, valve, and combined (coronary artery bypass grafting and valve) procedures. An equation was derived to estimate the risk of transfusion based on preoperative risk factors using multivariate analysis. In patients with a calculated probability of transfusion of at least 5%, intraoperative predictors of transfusion were identified by multivariate analysis.
RESULTS: Thirty-five patients (11%) required intraoperative or postoperative allogeneic transfusions. Preoperative factors as independent predictors for transfusions included red blood cell mass, type of operation, urgency of operation, number of diseased vessels, serum creatinine of at least 1.3 mg/dL, and preoperative prothrombin time. Intraoperative factors included cardiopulmonary bypass time, three or fewer bypass grafts, lesser volume of acute normovolemic hemodilution removed, and total crystalloid infusion of at least 2,500 mL. The derived formula was applied to a validation cohort of 246 patients, and the observed transfusion rates conformed well to the predicted risks.
CONCLUSIONS: A multimodality approach to blood conservation in cardiac surgery resulted in a low transfusion rate. Identifying patients' risks for transfusion should alter patient management perioperatively to decrease their transfusion rate and make more efficient use of blood resources.

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Year:  2004        PMID: 14759450     DOI: 10.1016/S0003-4975(03)01345-6

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  20 in total

1.  Predicting blood usage in cardiac surgery--the transfusion predictor product.

Authors:  Michael B McDonald; James McMillan
Journal:  J Extra Corpor Technol       Date:  2005-06

2.  Use of the Hemobag for modified ultrafiltration in a Jehovah's Witness patient undergoing cardiac surgery.

Authors:  David M Moskowitz; James J Klein; Aryeh Shander; Seth I Perelman; Kirk A McMurtry; Katherine M Cousineau; M Arisan Ergin
Journal:  J Extra Corpor Technol       Date:  2006-09

3.  Hemoglobin test result variability and cost analysis of eight different analyzers during open heart surgery.

Authors:  Kirti P Patel; Gary W Hay; Mahesh Keitheri Cheteri; David W Holt
Journal:  J Extra Corpor Technol       Date:  2007-03

4.  Fish Oil and Perioperative Bleeding.

Authors:  Emmanuel Akintoye; Prince Sethi; William S Harris; Paul A Thompson; Roberto Marchioli; Luigi Tavazzi; Roberto Latini; Mias Pretorius; Nancy J Brown; Peter Libby; Dariush Mozaffarian
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-11

5.  In Vitro Evaluation of the Fresenius Kabi CATSmart Autotransfusion System.

Authors:  Melissa Alberts; Robert C Groom; Richard Walczak; Robert Kramer; Adrienne Karpiel; Jeanette Dieter; Lisa Sheth; Nathaniel H Greene; Edmund H Jooste
Journal:  J Extra Corpor Technol       Date:  2017-06

6.  Predictors of post operative bleeding and blood transfusion in cardiac surgery.

Authors:  M Tettey; E Aniteye; L Sereboe; F Edwin; D Kotei; M Tamatey; K Entsuamensah; V Amuzu; K Frimpong-Boateng
Journal:  Ghana Med J       Date:  2009-06

Review 7.  [Intraoperative echocardiography: impact on surgical decision-making].

Authors:  E Schmid; M Nowak; K Unertl; P Rosenberger
Journal:  Anaesthesist       Date:  2009-11       Impact factor: 1.041

8.  Predictors of allogenic blood transfusion in elective cardiac surgery after preoperative autologous blood donation.

Authors:  Yoshiyuki Takami; Hiroshi Masumoto
Journal:  Surg Today       Date:  2009-03-25       Impact factor: 2.549

9.  Machine learning models to predict red blood cell transfusion in patients undergoing mitral valve surgery.

Authors:  Shun Liu; Rong Zhou; Xing-Qiu Xia; He Ren; Le-Ye Wang; Rui-Rui Sang; Mi Jiang; Chun-Chen Yang; Huan Liu; Lai Wei; Rui-Ming Rong
Journal:  Ann Transl Med       Date:  2021-04

10.  Predictors of packed red cell transfusion after isolated primary coronary artery bypass grafting--the experience of a single cardiac center: a prospective observational study.

Authors:  Elsayed M Elmistekawy; Lee Errett; Hosam F Fawzy
Journal:  J Cardiothorac Surg       Date:  2009-05-07       Impact factor: 1.637

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