Publication:
Venous thromboembolism in patients with acute myeloid leukemia: development of a predictive model

dc.contributor.authorMitrovic, Mirjana (54972086700)
dc.contributor.authorPantic, Nikola (57221630977)
dc.contributor.authorBukumiric, Zoran (36600111200)
dc.contributor.authorSabljic, Nikica (57221634280)
dc.contributor.authorVirijevic, Marijana (36969618100)
dc.contributor.authorPravdic, Zlatko (57221636770)
dc.contributor.authorCvetkovic, Mirjana (58716866000)
dc.contributor.authorIlic, Nikola (7006245465)
dc.contributor.authorRajic, Jovan (57435044600)
dc.contributor.authorTodorovic-Balint, Milena (55773026600)
dc.contributor.authorVidovic, Ana (6701313789)
dc.contributor.authorSuvajdzic-Vukovic, Nada (36446767400)
dc.contributor.authorThachil, Jecko (23029666900)
dc.contributor.authorAntic, Darko (23979576100)
dc.date.accessioned2025-06-12T11:39:39Z
dc.date.available2025-06-12T11:39:39Z
dc.date.issued2024
dc.description.abstractBackground: Patients with acute myeloid leukemia (AML) are at increased risk of venous thromboembolic events (VTE). However, thromboprophylaxis is largely underused. Objectives: This study aimed to determine possible VTE development risk factors and to develop a novel predictive model. Methods: We 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. Results: Out 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%. Conclusion: We developed a novel and convenient tool that may assist clinicians in identifying patients whose VTE risk is high enough to warrant thromboprophylaxis. © The Author(s) 2024.
dc.identifier.urihttps://doi.org/10.1186/s12959-024-00607-6
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85190531036&doi=10.1186%2fs12959-024-00607-6&partnerID=40&md5=067f242dac5b3ebf55cc5e28fcbdfa22
dc.identifier.urihttps://remedy.med.bg.ac.rs/handle/123456789/826
dc.subjectAcute myeloid leukemia
dc.subjectNomogram
dc.subjectPredictor
dc.subjectThrombosis
dc.subjectVenous thromboembolism
dc.titleVenous thromboembolism in patients with acute myeloid leukemia: development of a predictive model
dspace.entity.typePublication

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