Analysis of a large data set to identify predictors of blood transfusion in primary total hip and knee arthroplasty.

ABSTRACT:

Background

The aim of this study was to identify the predictors of need for allogenic blood transfusion (ALBT) in primary lower limb total joint arthroplasty (TJA).

Study design and methods

This study utilized a large dataset of 15,187 patients undergoing primary unilateral TJA. Risk factors and demographic information were extracted from the electronic health record. A predictive model was developed by both a random forest (RF) algorithm and logistic regression (LR). The area under the receiver operating characteristic curve (AUC-ROC) was used to compare the accuracy of the two methods.

Results

The rate of ALBT was 18.9% in total. Patient-related factors associated with higher risk of an ALBT included female sex, American Society of Anesthesiologists (ASA) II, ASA II

SUBMITTER: Huang Z 

PROVIDER: S-EPMC6131039 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature