Development and validation of a nomogram to predict perioperative blood transfusion in patients undergoing total knee arthroplasty.

ABSTRACT:

Background

The need for a transfusion is one of the adverse events following total knee arthroplasty (TKA), and accurately predicting this need remains challenging for arthroplasty surgeons. The purpose of the present research is to study the preoperative predictors of transfusion risk in patients following TKA and develop a nomogram.

Methods

The nomogram was developed based on a training set of 5402 patients who underwent TKA at the Affiliated Hospital of Qingdao University between September 2013 and November 2018. The independent predictors of transfusion were identified by univariate, LASSO, and binary logistic regression analyses. Then, a nomogram was established based on these independent predictors. The area under the curve (AUC), calibration curve, and decision curve

SUBMITTER: Hu C 

PROVIDER: S-EPMC7241000 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature