ArticleFrontiers in surgery2025
Prediction of risk factors for preoperative deep vein thrombosis in patients with pelvic fracture.
Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Identification and Validation of Key Genes Related to Arginine Methylation Modification in Sepsis Using Transcriptome Combined with Mendelian Randomization Analysis.Shock (Augusta, Ga.) · 2026Article
- Exploring Biomarkers and Regulatory Mechanisms Associated with Lytic Cell Death in Allergic Rhinitis Based on Transcriptome Analysis.Biomedicines · 2026Article
- Single-cell and bulk transcriptomic analyses identify B-cell senescence-associated biomarkers in papillary thyroid carcinoma.Translational cancer research · 2026Article
- Identification of atherosclerosis biomarkers through metabolic signatures and immune microenvironment analysis.Journal of cardiothoracic surgery · 2026Article
- Exploring Potential Stress Granule-Related Biomarkers in Childhood Asthma Using Integrated Bioinformatics and Machine Learning.Journal of inflammation research · 2026Article
- Machine Learning Model Predicts New-Onset Lower Extremity Deep Vein Thrombosis After Pelvic Fracture Surgery and Targeted Diagnosis.Clinical epidemiology · 2026Article
- Integrative analysis of transcriptomics, single-cell RNA sequencing, and GraphBAN identifiesFrontiers in immunology · 2026Article
- Exploring Centrosome Amplification-Associated Biomarkers in Osteoarthritis Through Bioinformatics and Experimental Approaches.Journal of inflammation research · 2026Article
- Prognostic biomarkers and regulatory mechanisms associated with lysine β-hydroxybutyrylation modification in prostate cancer.Frontiers in molecular biosciences · 2026Article
- Investigating key genes and molecular mechanisms of prostate cancer and coronary heart disease through transcriptomics and experimental validation.Translational andrology and urology · 2025Article
- Article
- Risk Factors for Deep Vein Thrombosis in Hospitalized Patients With Periarticular Knee Fractures Caused by High-Energy Injuries.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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3 authors.
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Abstract
Objective: This study aims to develop a preoperative risk assessment tool for deep vein thrombosis (DVT) in pelvic fracture patients, offering evidence-based guidance for surgeons. Methods: A cohort of 400 pelvic fracture patients was analyzed. Ten candidate predictors were initially identified via LASSO regression from 25 clinical variables. Four independent risk factors-emergency abdominal surgery, Injury Severity Score (ISS), serum creatinine levels, and aspartate aminotransferase (AST)-were subsequently incorporated into a multivariate logistic regression model. A nomogram was developed using R software, with calibration accuracy assessed via the rms package and clinical utility evaluated through decision curve analysis (DCA) using the ggDCA package. Results: The final model demonstrated excellent discriminative ability, with area under the curve (AUC) values of 0.88 (95% CI: 0.81-0.93) in the training cohort and 0.88 (95% CI: 0.80-0.95) in the validation cohort. Calibration curves confirmed strong alignment between predicted and observed DVT probabilities, while DCA highlighted the nomogram's clinical applicability across a wide risk threshold range. Conclusion: The validated nomogram provides a reliable preoperative tool for stratifying DVT risk in pelvic fracture patients. By enabling early identification of high-risk individuals, this model supports targeted prophylactic interventions, ultimately enhancing perioperative safety and patient outcomes.
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