title: Presurgical levels of circulating cell-derived microparticles discriminate between patients with and without transfusion in coronary artery bypass graft surgery.
abstract: OBJECTIVE
  Improved understanding of presurgical risk factors for transfusions will lead to reduction in their number and related complications. The goal of this study is to identify these factors in coronary artery bypass graft (CABG) surgery.
  
  
  METHODS
  Presented herein are results of analyses of data from an ongoing study of transfusion in CABG surgery. Of 122 patients, 81 received transfusion (Tx) and 41 did not (NoTx). In addition to routine tests, presurgical levels of microparticles from platelets (PMPs), red cells (RMPs), and other lineages were assayed.
  
  
  RESULTS
  The Tx and NoTx groups were similar with respect to most presurgical variables but differed in distribution of gender, blood type, diabetes prevalence, activated partial thromboplastin time (aPTT), hemoglobin (HGB), and microparticle levels. Stepwise multiple logistic regression was used to evaluate presurgical variables and to develop a model to assess risk factors for transfusion. CD41(+) PMP and CD235(+) RMP levels were found to be the main risk factors for transfusion. The Model's discriminating ability was assessed using receiver operating characteristic curve analysis, which showed that the area under the model curve (± standard error) was 0.86 ± 0.04 (95% confidence interval, 0.77-0.94). According to the model, patients with higher presurgical levels of circulating CD41(+) PMP, CD235a(+) RMP, and HGB, as well as a shorter aPTT, are less likely to receive transfusion(s).
  
  
  CONCLUSIONS
  Presurgical levels of CD41(+) PMPs and CD235a(+) RMPs are the main risk factors for transfusion in CABG, followed by HGB and aPTT.
authors.affiliation: Wallace H Coulter Platelet Laboratory, Division of Hematology and Oncology, Department of Medicine, Miller School of Medicine, University of Miami, Miami, Fla. Electronic address: wjy@med.miami.edu.
authors.forename: Wenche
authors.initials: W
authors.lastname: Jy
authors.affiliation: Departments of Public Health Sciences, Medicine, and Pediatrics, Miller School of Medicine, University of Miami, Miami, Fla.
authors.forename: Orlando
authors.initials: O
authors.lastname: Gómez-Marín
authors.affiliation: Division of Cardiothoracic Surgery, Department of Surgery, Miller School of Medicine, University of Miami, Miami, Fla.
authors.forename: Tomas A
authors.initials: TA
authors.lastname: Salerno
authors.affiliation: Division of Cardiothoracic Surgery, Department of Surgery, Miller School of Medicine, University of Miami, Miami, Fla.
authors.forename: Anthony L
authors.initials: AL
authors.lastname: Panos
authors.affiliation: Division of Cardiothoracic Surgery, Department of Surgery, Miller School of Medicine, University of Miami, Miami, Fla.
authors.forename: Donald
authors.initials: D
authors.lastname: Williams
authors.affiliation: Wallace H Coulter Platelet Laboratory, Division of Hematology and Oncology, Department of Medicine, Miller School of Medicine, University of Miami, Miami, Fla.
authors.forename: Lawrence L
authors.initials: LL
authors.lastname: Horstman
authors.affiliation: Wallace H Coulter Platelet Laboratory, Division of Hematology and Oncology, Department of Medicine, Miller School of Medicine, University of Miami, Miami, Fla.
authors.forename: Yeon S
authors.initials: YS
authors.lastname: Ahn
mesh_terms: D000368:Aged; D019540:Area Under Curve; D015415:Biomarkers / Q000097:blood; D016063:Blood Loss, Surgical / Q000517:prevention & control*; D001792:Blood Platelets / Q000378:metabolism*; D001803:Blood Transfusion; D055252:Cell-Derived Microparticles / Q000378:metabolism*; D001026:Coronary Artery Bypass / Q000009:adverse effects*; D003324:Coronary Artery Disease / Q000097:blood / Q000175:diagnosis / Q000601:surgery*; D003661:Decision Support Techniques; D004912:Erythrocytes / Q000378:metabolism*; D005260:Female; D006021:Glycophorins / Q000378:metabolism; D006454:Hemoglobins / Q000378:metabolism; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D010314:Partial Thromboplastin Time; D040201:Platelet Membrane Glycoprotein IIb / Q000097:blood; D011237:Predictive Value of Tests; D012372:ROC Curve; D012307:Risk Factors
chemical_list: D015415:Biomarkers; C409972:GYPA protein, human; D006021:Glycophorins; D006454:Hemoglobins; D040201:Platelet Membrane Glycoprotein IIb