Predicting the risk of perioperative transfusion for patients undergoing elective hepatectomy Journal Article


Authors: Sima, C. S.; Jarnagin, W. R.; Fong, Y.; Elkin, E.; Fischer, M.; Wuest, D.; D'Angelica, M.; DeMatteo, R. P.; Blumgart, L. H.; Gonen, M.
Article Title: Predicting the risk of perioperative transfusion for patients undergoing elective hepatectomy
Abstract: OBJECTIVE: To develop 2 instruments that predict the probability of perioperative red blood cell transfusion in patients undergoing elective liver resection for primary and secondary tumors. SUMMARY BACKGROUND DATA:: Hepatic resection is the most effective treatment for several benign and malign conditions, but may be accompanied by substantial blood loss and the need for perioperative transfusions. While blood conservation strategies such as autologous blood donation, acute normovolemic hemodilution, or cell saver systems are available, they are economically efficient only if directed toward patients with a high risk of transfusion. METHODS:: Using preoperative data from 1204 consecutive patients who underwent liver resection between 1995 and 2000 at Memorial Sloan-Kettering Cancer Center, we modeled the probability of perioperative red blood cell transfusion. We used the resulting model, validated on an independent dataset (n = 555 patients), to develop 2 prediction instruments, a nomogram and a transfusion score, which can be easily implemented into clinical practice. RESULTS:: The planned number of liver segments resected, concomitant extrahepatic organ resection, a diagnosis of primary liver malignancy, as well as preoperative hemoglobin and platelets levels predicted the probability of perioperative red blood cell transfusion. The predictions of the model appeared accurate and with good discriminatory abilities, generating an area under the receiver operating characteristic curve of 0.71. CONCLUSIONS:: Preoperative factors can be combined into risk profiles to predict the likelihood of transfusion during or after elective liver resection. These predictions, easy to calculate in the frame of a nomogram or of a transfusion score, can be used to identify patients who are at high risk for red cell transfusions and therefore most likely to benefit from blood conservation techniques. © 2009 by Lippincott Williams & Wilkins.
Keywords: adult; controlled study; middle aged; retrospective studies; major clinical study; liver neoplasms; risk factors; hemoglobin; hemoglobin blood level; risk assessment; models, theoretical; scoring system; blood transfusion; thrombocyte count; liver resection; hepatectomy; liver cancer; perioperative period; erythrocyte transfusion; nomogram; elective surgery; perioperative care; surgical procedures, elective
Journal Title: Annals of Surgery
Volume: 250
Issue: 6
ISSN: 0003-4932
Publisher: Lippincott Williams & Wilkins  
Date Published: 2009-12-01
Start Page: 914
End Page: 921
Language: English
DOI: 10.1097/SLA.0b013e3181b7fad3
PUBMED: 19953711
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 1" - "Export Date: 30 November 2010" - "CODEN: ANSUA" - "Source: Scopus"
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MSK Authors
  1. Camelia S Sima
    212 Sima
  2. Mary Ellen Fischer
    30 Fischer
  3. Leslie H Blumgart
    352 Blumgart
  4. David L Wuest
    40 Wuest
  5. Ronald P DeMatteo
    637 DeMatteo
  6. Mithat Gonen
    1028 Gonen
  7. Elena B Elkin
    163 Elkin
  8. William R Jarnagin
    903 Jarnagin
  9. Yuman Fong
    775 Fong