Dataset Information

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 III, and ASA IV. Surgery-related risk factors for ALBT were operative time, drain use, and amount of intraoperative blood loss. Higher preoperative hemoglobin and tranexamic acid use were associated with decreased risk for ALBT. The RF model had a better predictive accuracy (area under the curve [AUC] 0.84) than the LR model (AUC, 0.77; p?

SUBMITTER: Huang Z

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

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Huang ZeYu Z Huang Cheng C Xie JinWei J Ma Jun J Cao GuoRui G Huang Qiang Q Shen Bin B Byers Kraus Virginia V Pei FuXing F

Transfusion 20180825 8

<h4>Background</h4>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).<h4>Study design and methods</h4>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 und ...[more]

PMID: 30145838

Similar Datasets

Project description:To study function outcomes and their predictors after primary total hip arthroplasty (THA).Prospective cohort study.Mayo Clinic.All patients who underwent primary THA at the Mayo Clinic between 1993 and 2005 and were alive at the time of follow-up.Whether sex, age, body mass index (BMI), comorbidity, anxiety, and depression predict moderate to severe activity limitation (limitation in ?3 activities) and complete dependence on waling aids 2 and 5 years after primary THA was examined. Multivariable logistic regression adjusted for operative diagnosis, American Society of Anesthesiologists score, implant type, and distance from medical center.At 2 years, 30.3% of participants reported moderate to severe activity limitation; at 5 years, 35% of participants reported moderate to severe activity limitation. Significant predictors of moderate to severe activity limitations at 2-year follow-up were female sex (odds ratio (OR)=1.2, 95% confidence interval (CI)=1.1-1.4), aged 71 to 80 (OR=2.0, 95% CI=1.6-2.5), aged 80 and older (OR=4.5, 95% CI=3.4-6.0), depression (OR=2.1, 95% CI=1.6-2.7), and BMI greater than 30.0. At 5-year follow-up, significant predictors were aged 71 to 80 (OR=1.7, 95% CI=1.3-2.2), older than 80 (OR=4.3, 95% CI=2.8-6.6), depression (OR=2.3, 95% CI=1.6-3.4), and BMI greater than 30.0.Significant predictors of complete dependence on walking aids at 2 years were female sex (OR=2.0, 95% CI=1.4-2.7), aged 71 to 80 (OR=2.4, 95% CI=1.4-4.2), older than 80 (OR=11.4, 95% CI=6.0-21.9), higher Deyo-Charlson score (OR=1.5, 95% CI=(1.1-1.2) for 5-point increase, depression (OR=2.0, 95% CI=1.2-3.4), and BMI greater than 35.0. Each of these factors also significantly predicted complete dependence on walking at 5-year follow-up, with similar odds ratios, except that BMI of 30.0 to 34.9 was not significantly associated.Higher BMI, depression, older age, and female sex predict activity limitation and complete dependence on walking aids 2 and 5 years after primary THA.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets