Effect of rivaroxaban on preventing deep vein thrombosis in aged diabetics with femoral neck fractures after hip replacement

Zhang, Yimin; Jiang, Xin; Sun, Yan-Shan

doi:10.1042/bsr20170289

Cited by 3 publications

(1 citation statement)

References 37 publications

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“… 11 Hematocrit (Hct) and coagulation function–associated biomarkers, including prothrombin time (PT) and activated partial thromboplastin time (APTT) are also important predictors of surgical site infection or coagulation and reduction of bleeding, which further affects outcomes. 12 , 13 At present, there is no prediction model for predicting THA-patient prognosis.…”

Section: Introductionmentioning

confidence: 99%

Prediction Models for Prognosis of Femoral Neck–Fracture Patients 6 Months after Total Hip Arthroplasty

Zheng¹,

Xiao²,

Xie³

et al. 2022

IJGM

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Purpose To establish prediction models for 6-month prognosis in femoral neck–fracture patients receiving total hip arthroplasty (THA). Patients and Methods In total, 182 computed tomography image pairs from 85 patients were collected and divided into a training set (n=127) and testing set (n=55). Least absolute shrinkage–selection operator regression was used for selecting optimal predictors. A random-forest algorithm was used to establish the prediction models, which were evaluated for accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC). Results The best model in this study was constructed based on demographic data, preoperative laboratory indicators, and three preoperative radiomic features. In the random-forest model, activated partial thromboplastin time, a preoperative radiomic feature (maximum diameter), and fibrinogen were important variables correlating with patient outcomes. The AUC, sensitivity, specificity, PPV, NPV, and accuracy in the training set were 0.986 (95% CI 0.971–1), 0.925 (95% CI 0.862–0.988), 0.983 (95% CI 0.951–1.016), 0.984 (95% CI 0.953–1.014), 0.922 (95% CI 0.856–0.988), and 0.953 (95% CI 0.916–0.990), respectively. The AUC, sensitivity, specificity, PPV, NPV, and accuracy in the testing set were 0.949 (95% CI 0.885–1), 0.767 (95% CI 0.615–0.918), 1 (95% CI 1–1), 1 (95% CI 1–1), 0.781 (95% CI 0.638–0.924), and 0.873 (95% CI 0.785–0.961), respectively. Conclusion The model based on demographic, preoperative clinical, and preoperative radiomic data showed the best predictive ability for 6-month prognosis in the femoral neck–fracture patients receiving THA.

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Section: Introductionmentioning

confidence: 99%

Prediction Models for Prognosis of Femoral Neck–Fracture Patients 6 Months after Total Hip Arthroplasty

Zheng¹,

Xiao²,

Xie³

et al. 2022

IJGM

View full text Add to dashboard Cite

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The effectiveness and safety of direct oral anticoagulants compared to conventional pharmacologic thromboprophylaxis in hip fracture patients: A systematic review and meta-analysis of randomized controlled trials

Abatzis-Papadopoulos

Tigkiropoulos

Nikas

et al. 2023

Orthopaedics & Traumatology: Surgery & Research

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Establishment and validation of a predictive model for lower extremity deep vein thrombosis in patients with traumatic pelvic fractures

Shi,

Li,

Zhu

et al. 2024

Thrombosis J

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Background Patients with traumatic pelvic fracture (TPF) are at high risk for developing deep vein thrombosis (DVT). However, there is still no unified standard on how to distinguish high-risk groups for DVT in patients with TPF and how to accurately use anticoagulants at present. Objectives This observational study aimed to establish a DVT risk nomogram score (DRNS) model for TPF patients, and to explore the value of the DRNS model as a clinical guideline in the prevention of DVT with low molecular weight heparin (LMWH). Methods Independent risk factors of lower extremity DVT were screened through Lasso regression and logistic regression. A DRNS model was established per this. Results The independent risk factors of DVT included combined femoral fractures, age ≥ 40 years old, BMI (body mass index) ≥ 24 kg/m 2 , ISS score, fibrinogen concentration, and the minimum concentration of ionized calcium within 48 h after admission. The optimal cutoff value for DRNS was 78.5. In the low-risk population of DVT (DRNS < 78.5), there was no statistical significance of variation about the incidence of DVT progression between the LMWH once a day (qd) group and the LMWH once every 12 h (q12h) group, with P = 0.323. In the high-risk population of DVT (DRNS ≥ 78.5), the incidence of DVT progression in the LMWH qd group was significantly higher than that in the LMWH q12h group, with P = 0.002. Conclusions The DRNS model based on independent risk factors of DVT could stratify the risk of DVT for TPF patients, and it was able to provide more precise DVT drug prevention plans for clinicians.

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Effect of rivaroxaban on preventing deep vein thrombosis in aged diabetics with femoral neck fractures after hip replacement

Cited by 3 publications

References 37 publications

Prediction Models for Prognosis of Femoral Neck–Fracture Patients 6 Months after Total Hip Arthroplasty

Prediction Models for Prognosis of Femoral Neck–Fracture Patients 6 Months after Total Hip Arthroplasty

The effectiveness and safety of direct oral anticoagulants compared to conventional pharmacologic thromboprophylaxis in hip fracture patients: A systematic review and meta-analysis of randomized controlled trials

Establishment and validation of a predictive model for lower extremity deep vein thrombosis in patients with traumatic pelvic fractures

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