Background: Patients with hematological malignancies have an increased risk of arterial thrombotic events (ATEs) after diagnosis, compared to matched controls without cancer. However, data about incidence and risk factors for ATE development in patients with acute myeloid leukemia (AML) are missing. Aim: The objectives of this study were to determine the incidence of ATE in non-promyelocytic-AML patients and to define the potential risk factors for ATE development. Methods: We conducted a retrospective cohort study of adult patients with newly diagnosed AML. The primary outcome was the occurrence of confirmed ATE, defined as myocardial infarction, stroke or critical limb ischemia. Results: Out of 626 eligible AML patients, 18 (2.9%) patients developed ATE in the median time of 3 (range: 0.23–6) months. Half of these patients died due to ATE complications. Five parameters were predictors of ATE: BMI > 30 (p = 0.000, odds ratio [OR] 20.488, 95% CI: 6.581–63.780), prior history of TE (p = 0.041, OR 4.233, 95% CI: 1.329–13.486), presence of comorbidities (p = 0.027, OR 5.318, 95% CI: 1.212–23.342), presence of cardiovascular comorbidities (p < 0.0001, OR 8.0168, 95% CI: 2.948–21.800) and cytogenetic risk score (p = 0.002, OR 2.113, 95% CI: 1.092–5.007). Conclusions: Our study showed that patients with AML are at increased risk of ATE. The risk was increased in patients with cardiovascular comorbidities, previous thrombosis, adverse cytogenetic risk as well as BMI > 30.

Introduction: To assess incidence and mortality trends of acute myeloid leukemia (AML) in Belgrade (Serbia) in a 15-year period (from 1999 to 2013). Material and Methods: Data were obtained from the Cancer Registry of Serbia, Institute of Public Health of Serbia. Standardized incidence and mortality rates per 100,000 inhabitants were calculated by direct standardization method using World Standard Population. Analysis of raw data indicated single-digit numbers per year and per 5-year age cohorts. Therefore, we merged years of diagnosis to three-year intervals, creating so-called “moving averages”. We also merged study population to 10-year age cohorts. Results: Both incidence and mortality rates increased with age, i.e., the lowest rates were observed in the youngest age groups and the highest rates were observed in oldest age groups. In all age groups, except the youngest (15–24 years), AML incidence was statistically significantly higher in men compared with women. Average age-adjusted incidence was 2.73/100,000 (95% confidence interval (CI) 2.28–3.71). Average age-adjusted mortality was 1.81/100,000 (95% CI 1.30–2.26). Overall, there were no significant changes in incidence trend. Age-adjusted incidence rates had increasing tendency among men aged 65–74 years (B = 0.80, standard error (SE) = 0.11; p = 0.005) and in total population aged 65–74 years (B = 0.41, SE = 0.09; p = 0.023). Increasing tendency in incidence of AML among women was observed in age group >75 years (B = 0.63, SE = 0.14; p = 0.019). No changes of mortality trend were observed. Conclusion: There was no significant change in trends of AML from 1999 to 2013 in the population of Belgrade.

There are limited data on the impact of severe acute respiratory syndrome corona virus 2 infection in patients previously diagnosed with primary immune thrombocytopenia (ITP) on thrombopoietin receptor agonist therapy (TPO-RA). Seven chronic ITP patients who had contracted COVID-19 and had been treated with TPO-RA are included in the study. Demographic, ITP treatment and comorbidities data were collected retrospectively from patients’ medical records. Data regarding clinical course of COVID-19 were collected prospectively. During the infection, all patients had platelet count higher than average, and platelet count peak was mainly observed on day 7. For that reason, therapy modification was required. However, platelet count increment was transient in most ITP patients. One patient developed pulmonary embolism despite the use of therapeutic dose of anticoagulants. One patient died of respiratory failure whereas another developed rebound thrombocytopenia after the infection and consequential intracerebral hemorrhage. Careful platelet count monitoring and therapy management are needed in chronic ITP patients on TPO-RAs with COVID-19.

Autoimmune hemolytic anemia (AIHA) is a rare, very heterogeneous, and sometimes life-threatening acquired hematologic disease characterized by increased red blood cell (RBC) destruction by autoantibodies (autoAbs), either with or without complement involvement. Recent studies have shown that the involvement of T- and B-cell dysregulation and an imbalance of T-helper 2 (Th2) and Th17 phenotypes play major roles in the pathogenesis of AIHA. AIHA can be primary (idiopathic) but is more often secondary, triggered by infections or drug use or as a part of other diseases. As the location of origin of autoAbs and the location of autoAb-mediated RBC clearance, as well as the location of extramedullary hematopoiesis, the spleen is crucially involved in all the steps of AIHA pathobiology. Splenectomy, which was the established second-line therapeutic option in corticosteroid-resistant AIHA patients for decades, has become less common due to increasing knowledge of immunopathogenesis and the introduction of targeted therapy. This article provides a comprehensive overview of current knowledge regarding the place of the spleen in the immunological background of AIHA and the rapidly growing spectrum of novel therapeutic approaches. Furthermore, this review emphasizes the still-existing expediency of laparoscopic splenectomy with appropriate perioperative thromboprophylaxis and the prevention of infection as a safe and reliable therapeutic option in the context of the limited availability of rituximab and other novel therapies.

Thrombosis is one of the most frequent complications of cancer, with a potential impact on morbidity and mortality, particularly those with acute myeloid leukemia (AML). Therefore, effective thrombosis prevention is a crucial aspect of cancer management. However, preventive measures against thrombosis may carry inherent risks and complications. Consequently, the application of thrombosis prevention should be limited to patients with a reasonable risk of developing thrombosis. This thesis explores the potential of data science (DS) methods for predicting venous thrombosis in patients with acute myeloid leukemia. In order to ascertain which patients are at risk, statistical and machine-learning (ML) algorithms were employed to predict which patients with leukemia will develop thrombosis. Multilayer Perceptron (MLP) was found to be the best fit among the models evaluated, achieving the C statistic of 0.749. We examined which attributes are significant and what role they play in prediction and found six significant parameters: sex of the patient, prior history of thrombotic event, type of therapy, international normalized ratio (INR), Eastern Cooperative Oncology Group (ECOG) performance status, and Hematopoietic Cell Transplantation-specific Comorbidity. These findings suggest that subtle DS techniques can improve the prediction of Thrombosis in AML patients, thereby aiding in individual treatment planning.