Literature DB >> 2502951

Determinants of homologous blood usage utilizing autologous platelet-rich plasma in cardiac operations.

G F Giordano1, G F Giordano1, S L Rivers, G K Chung, R B Mammana, J D Marco, A R Raczkowski, A Sabbagh, R G Sanderson, B S Strug.   

Abstract

The present study evaluated (1) the influence of the collection of autologous platelet-rich plasma intraoperatively in addition to intraoperative autotransfusion on homologous blood usage and bleeding in cardiac operations; (2) the influence of age, sex, body surface area, type of operation, and reoperations on homologous blood usage and bleeding in cardiac operations utilizing intraoperative autotransfusion and autologous platelet-rich plasma collected intraoperatively; and (3) the influence of the preoperative administration of aspirin, Persantine (dipyridamole), heparin sodium, thrombolytic agents, Coumadin (crystalline warfarin sodium), and nonsteroid, antiinflammatory drugs on homologous blood usage and bleeding in cardiac operations utilizing intraoperative autotransfusion and autologous platelet-rich plasma collected intraoperatively. The results demonstrated a decrease in homologous blood use and bleeding when autologous platelet-rich plasma is collected in addition to the use of intraoperative autotransfusion. All of the patient and procedural variables influenced homologous blood usage and bleeding to some extent. Only the thrombolytic agents affected blood usage by increasing homologous plasma usage. All other drugs evaluated did not influence blood utilization or the amount of bleeding intraoperatively or postoperatively.

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Year:  1989        PMID: 2502951     DOI: 10.1016/0003-4975(89)90031-3

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


  3 in total

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2.  Preoperative plateletpheresis does not reduce blood loss during cardiac surgery.

Authors:  S K Boey; B C Ong; S S Dhara
Journal:  Can J Anaesth       Date:  1993-09       Impact factor: 5.063

3.  Prediction of perioperative transfusions using an artificial neural network.

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Journal:  PLoS One       Date:  2020-02-24       Impact factor: 3.240

  3 in total

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