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Published in: International Orthopaedics 4/2013

01-04-2013 | Original Paper

Predicting the need for blood transfusion in patients with hip fractures

Authors: Assaf Kadar, Ofir Chechik, Ely Steinberg, Evgeny Reider, Amir Sternheim

Published in: International Orthopaedics | Issue 4/2013

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Abstract

Purpose

The need for perioperative blood management measures aimed at improving patient outcomes and reducing allogenic blood transfusion (ABT) is increasingly recognised. Our study aim is to create an algorithm to predict and manage the need for blood transfusion in patients with hip fractures.

Methods

We retrospectively assessed 1,484 patients with hip fractures and analysed the probability of receiving an ABT within 72 hours of admission. Univariate, multiple logistic regression analysis and a probability algorithm for predicting the need for blood transfusion on the basis of independent multivariate predictors were used.

Results

Significant predictors for ABT were: older age; lower haemoglobin on admission; female gender; type of surgical implant (cephalomedullary nail and dynamic hip screw more than hemiarthroplasty); and a shorter wait time from admission to surgery. A regression model algorithm correctly predicted the need for an ABT in 73 % of the cases.

Conclusion

An algorithm and a simple clinical tool were devised to predict and manage the need for a blood transfusion within 72 hours of admission in patients with hip fractures.
Appendix
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Metadata
Title
Predicting the need for blood transfusion in patients with hip fractures
Authors
Assaf Kadar
Ofir Chechik
Ely Steinberg
Evgeny Reider
Amir Sternheim
Publication date
01-04-2013
Publisher
Springer-Verlag
Published in
International Orthopaedics / Issue 4/2013
Print ISSN: 0341-2695
Electronic ISSN: 1432-5195
DOI
https://doi.org/10.1007/s00264-013-1795-7

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