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Venous thromboembolism in patients with acute myeloid leukemia: development of a predictive model.
Mitrovic, Mirjana; Pantic, Nikola; Bukumiric, Zoran; Sabljic, Nikica; Virijevic, Marijana; Pravdic, Zlatko; Cvetkovic, Mirjana; Ilic, Nikola; Rajic, Jovan; Todorovic-Balint, Milena; Vidovic, Ana; Suvajdzic-Vukovic, Nada; Thachil, Jecko; Antic, Darko.
Afiliación
  • Mitrovic M; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia. mirjanamitrovic.dr@gmail.com.
  • Pantic N; Faculty of Medicine, University of Belgrade, Belgrade, Serbia. mirjanamitrovic.dr@gmail.com.
  • Bukumiric Z; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia.
  • Sabljic N; Faculty of Medicine, Institute for medical statistics and informatics, University of Belgrade, Belgrade, Serbia.
  • Virijevic M; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia.
  • Pravdic Z; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia.
  • Cvetkovic M; Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Ilic N; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia.
  • Rajic J; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia.
  • Todorovic-Balint M; Faculty of Medicine, Center for Information and Communication Technologies, University of Belgrade, Belgrade, Serbia.
  • Vidovic A; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia.
  • Suvajdzic-Vukovic N; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia.
  • Thachil J; Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Antic D; Clinic of Hematology, University Clinical Center of Serbia, Belgrade, Serbia.
Thromb J ; 22(1): 37, 2024 Apr 17.
Article en En | MEDLINE | ID: mdl-38632595
ABSTRACT

BACKGROUND:

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.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Thromb J Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Thromb J Año: 2024 Tipo del documento: Article