ArticleThrombosis journal2024
Venous thromboembolism in patients with acute myeloid leukemia: development of a predictive model.
Article in Thrombosis journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Von Willebrand, factor VIII, and D-dimer levels as predictors of risk and clinical outcomes in acute myeloid leukemia.Clinical and experimental medicine · 2026Article
- Don't forget about thrombosis in acute promyelocytic leukemia.Haematologica · 2026Article
- Hijacking the helpers: platelet and neutrophil trafficking in AML and therapeutic exploitation.Experimental hematology & oncology · 2026Review
- Risk prediction model for thrombosis in leukemia patients: a systematic review.Frontiers in oncology · 2026Review
- Anticoagulants in hematologic malignancies: what is the data?Hematology. American Society of Hematology. Education Program · 2025Review
- Venous thromboembolic risk in hematological hospitalized patients: a retrospective study.Annals of hematology · 2025Observational
- The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia.Bioengineering (Basel, Switzerland) · 2025Article
- Review
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Authors and funding
14 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients with acute myeloid leukemia (AML) are at increased risk of venous thromboembolic events (VTE). However, thromboprophylaxis is largely underused.
objectivesThis study aimed to determine possible VTE development risk factors and to develop a novel predictive model.
methodsWe conducted a retrospective cohort study of adult patients with newly diagnosed AML. We used univariate and multivariable logistic regression to estimate binary outcomes and identify potential predictors. Based on our final model, a dynamic nomogram was constructed with the goal of facilitating VTE probability calculation.
resultsOut of 626 eligible patients with AML, 72 (11.5%) developed VTE during 6 months of follow-up. Six parameters were independent predictors: male sex (odds ratio [OR] 1.82, 95% confidence interval [CI]: 1.077-2.065), prior history of thrombotic events (OR 2.27, 95% CI: 1.4-4.96), international normalized ratio (OR 0.21, 95% CI: 0.05-0.95), Eastern Cooperative Oncology Group performance status (OR 0.71, 95% CI: 0.53-0.94), and intensive therapy (OR 2.05, 95% CI: 1.07-3.91). The C statistics for the model was 0.68. The model was adequately calibrated and internally validated. The decision-curve analysis suggested the use of thromboprophylaxis in patients with VTE risks between 8 and 20%.
conclusionWe developed a novel and convenient tool that may assist clinicians in identifying patients whose VTE risk is high enough to warrant thromboprophylaxis.
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