Validation of predictive models identifying patients at risk for massive transfusion during liver transplantation and their potential impact on blood bank resource utilization-Reference-Cited by-同舟云学术

Validation of predictive models identifying patients at risk for massive transfusion during liver transplantation and their potential impact on blood bank resource utilization

Published:2020-09-13 Issue:11 Volume:60 Page:2565-2580
ISSN:0041-1132
Container-title:Transfusion
language:en
Short-container-title:Transfusion

Author:

Pustavoitau Aliaksei¹^ORCID,Rizkalla Nicole A.¹,Perlstein Brooke²,Ariyo Promise¹,Latif Asad³,Villamayor April J.¹,Frank Steven M.¹^ORCID,Merritt William T.¹,Cameron Andrew M.⁴,Philosophe Benjamin⁴,Ottmann Shane⁴,Garonzik Wang Jacqueline M.⁴,Wesson Russell N.⁴,Gurakar Ahmet⁵,Gottschalk Allan¹

Affiliation:

1. Department of Anesthesiology and Critical Care Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA

2. University of Maryland College Park Maryland USA

3. Department of Anaesthesiology Aga Khan University Medical College Karachi Pakistan

4. Department of Surgery Johns Hopkins University School of Medicine Baltimore Maryland USA

5. Department of Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA

Publisher

Wiley

Subject

Hematology,Immunology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/trf.16019

Reference41 articles.

1. Liver Transplantation

2. Liver transplantation: comparison of the classical orthotopic and piggyback techniques

3. European survey on the application of vascular clamping in liver surgery;Bilt JD;Dig Surg,2007

4. How Should Transection of the Liver Be Performed?

5. Minimizing Blood Loss in Liver Transplantation: Progress through Research and Evolution of Techniques

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2. Risk factors of massive blood transfusion in liver transplantation: consequences and a new index for prediction including the donor;Cirugía Española;2023-10

3. Risk factors of massive blood transfusion in liver transplantation: consequences and a new index for prediction including the donor;Cirugía Española (English Edition);2023-10

4. Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery;Journal of Clinical Epidemiology;2023-07

5. Development and Validation of a Prediction Model for Need for Massive Transfusion During Surgery Using Intraoperative Hemodynamic Monitoring Data;JAMA Network Open;2022-12-14