Background: The risk of venous thromboembolism (VTE) following total hip arthroplasty (THA) and total knee arthroplasty (TKA) is 1.0% to 1.5%, despite uniform thromboprophylaxis.
Objectives: To develop and validate a prediction model for 90-day VTE risk.
Methods: A multinational cohort study was performed. For model development, records were used from the Oxford Royal College of General Practitioners Research and Surveillance Centre linked to Hospital Episode Statistics and Office of National Statistics UK routine data. For external validation, data were used from the Danish Hip and Knee Arthroplasty Registry, the National Patient Registry, and the National Prescription Registry. Binary multivariable logistic regression techniques were used for development.
Results: In the UK data set, 64 032 THA/TKA procedures were performed and 1.4% developed VTE. The prediction model consisted of age, body mass index, sex, cystitis within 1 year before surgery, history of phlebitis, history of VTE, presence of varicose veins, presence of asthma, history of transient ischemic attack, history of myocardial infarction, presence of hypertension and THA or TKA. The area under the curve of the model was 0.65 (95% CI, 0.63-0.67). Furthermore, 36 169 procedures were performed in the Danish cohort, of whom 1.0% developed VTE. Here, the area under the curve was 0.64 (95% CI, 0.61-0.67). The calibration slope was 0.92 in the validation study and 1.00 in the development study.
Conclusion: This clinical prediction model for 90-day VTE risk following THA and TKA performed well in both development and validation data. This model can be used to estimate an individual's risk for VTE following THA/TKA.
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http://dx.doi.org/10.1016/j.jtha.2023.09.033 | DOI Listing |
Biol Direct
December 2024
Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Background: Integrating multi-layered information can enhance the accuracy of genomic prediction for complex traits. However, the improvement and application of effective strategies for genomic prediction (GP) using multi-omics data remains challenging.
Methods: We generated 11 feature sets for sequencing variants from genomics, transcriptomics, metabolomics, and epigenetics data in beef cattle, then we assessed the contribution of functional variants using genomic restricted maximum likelihood (GREML).
J Orthop Surg Res
December 2024
Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, China.
Objective: This study aims to explore the predictive value of endplate morphology and pedicle screw bone quality score on screw loosening after single-level lumbar spinal fusion surgery.
Methods: A retrospective analysis was conducted on the clinical data of 207 patients who underwent single-level lumbar spinal fusion (34 in the screw loosening group and 173 in the non-screw loosening group). Univariate analysis and binary logistic regression model analysis were performed using SPSS 27.
J Transl Med
December 2024
Department of Pathology, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Road, Zhengzhou, China.
Background: Pancreatic cancer (PC) is a lethal malignancy characterized by poor prognosis and high mortality. We found the highly expressed RNA-binding motif protein 47 (RBM47) in PC progression. The RBM47 expression was negatively correlated with natural killer (NK) cell infiltrate in PC.
View Article and Find Full Text PDFJ Transl Med
December 2024
Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, Jiangsu, China.
Background: Coronary artery disease (CAD) has become a dominant economic and health burden worldwide, and the role of autophagy in CAD requires further clarification. In this study, we comprehensively revealed the association between autophagy flux and CAD from multiple hierarchies. We explored autophagy-associated long noncoding RNA (lncRNA) and the mechanisms underlying oxidative stress-induced human coronary artery endothelial cells (HCAECs) injury.
View Article and Find Full Text PDFJ Orthop Surg Res
December 2024
Department of Orthopedics and Trauma, Peking University People's Hospital, Beijing, China.
Background: The traditional classification for lateral malleolus fracture has its limitations. In this study, we introduced a three-dimensional (3D) fracture mapping technique using computed tomography (CT) data to assess fracture line distributions and their impact on patient outcomes, offering a refined classification approach.
Methods: Retrospectively, we analysed 97 patients who underwent lateral malleolus fracture surgeries (2014-2019), using CT Digital Imaging and Communications in Medicine data to create 3D models and fracture maps.
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