Objectives: Patients with hematologic malignancies have a high risk of coronavirus disease 2019 (COVID-19) mortality. This study aimed to investigate the impact of COVID-19 on mortality rates in patients with various hematologic malignancies and to determine risk factors associated with all-cause mortality. Methods: A multi-center, observational retrospective analysis of patients with hematologic malignancies infected with COVID-19 between July 2020 and December 2021 was performed. Demographic data, clinical characteristics, and laboratory parameters were recorded. Patients were grouped as non-survivors and survivors. All-cause mortality was the primary outcome of the study. Results: There were 569 patients with a median age of 59 years. Non-Hodgkin lymphoma (22.0%) and multiple myelomas (18.1%) were the two most frequent hematologic malignancies. The all-cause mortality rate was 29.3%. The highest mortality rates were seen in patients with acute myeloid leukemia (44.3%), acute lymphoid leukemia (40.5%), and non-Hodgkin lymphoma (36.8%). The non-survivors were significantly older (p<0.001) and had more comorbidities (p<0.05). There were significantly more patients with low lymphocyte percentage (p<0.001), thrombocytopenia (p<0.001), and high CRP (p<0.001) in the non-survived patients. Cardiac comorbidities, (p=0.016), cytotoxic chemotherapy (p=0.024), low lymphocyte percentage (p=0.025), thrombocytopenia (p<0.0001), and high CRP values (p=0.017) were the independent risk factors for the prediction of mortality. Conclusions: In patients with hematologic malignancies, coexistent COVID-19 leads to a higher mortality rate in elderly patients with more comorbidities. Acute myeloid and lymphoid leukemia and non-Hodgkin lymphoma have the highest mortality rates. Cardiac diseases, cytotoxic chemotherapy, lymphopenia, thrombocytopenia, and high CRP are the independent risk factors for mortality in hematologic malignancy patients with COVID-19. Keywords: Covid; Hematologic Malignancy; Cytotoxic chemotherapy.

Aim: To investigate inflammation indices and erythropoietin levels for their potential role in distinguishing polycythemia vera from secondary polycythemia and to compare different parameter combinations in terms of the diagnostic accuracy. Methods: This retrospective cohort was created from patients assessed for polycythemia from January 2020 to December 2023. Polycythemia vera diagnosis was made according to the 2016 World Health Organization criteria (n = 145). Those who did not fulfill the criteria were defined as having secondary polycythemia (n = 84). Results: The neutrophil lymphocyte ratio, platelet lymphocyte ratio and systemic immune-inflammation index were significantly higher in the polycythemia vera group (p < 0.001 for all). Erythropoietin had the highest area under the curve in the analysis to distinguish groups, followed by the systemic immune-inflammation index. The platelet lymphocyte ratio (≥135) had the highest specificity to detect polycythemia vera, followed closely by the systemic immune-inflammation index. The sensitivity for polycythemia vera detection was highest with the erythropoietin and systemic immune-inflammation index combination, followed by erythropoietin and the neutrophil lymphocyte ratio. All the single and combinatory variables exhibited significant performance in predicting polycythemia vera after adjusting for age and sex. However, the erythropoietin and systemic immune-inflammation index combination had the highest odds ratio, followed by erythropoietin alone. Conclusion: These are promising findings supporting the usability of these biomarkers, especially the systemic immune-inflammation index, as minor criteria in the diagnosis of polycythemia vera. It is especially crucial to note that using erythropoietin in combination with these markers may improve diagnostic accuracy.

Objective: We investigated the occurrence and characteristics of secondary solid cancers (SSCs) in patients with Philadelphia chromosome-negative myeloproliferative neoplasms (Ph- MPNs) from T & uuml;rkiye. We identified the potential risk factors for SSC development, including the impact of cytoreductive therapies, and we assessed the influence of SSC on patient survival. Materials and Methods: A total of 1013 PhMPN patients diagnosed between 1995 and 2022 were retrospectively analyzed. Data related to demographics, clinical and laboratory parameters, SSC development, cytoreductive therapy exposure, and survival outcomes were collected. Statistical analyses were performed using IBM SPSS Statistics 26.0. Results: Of the analyzed PhMPN patients, 6.6% developed SSC, with carcinoma being the most common type. Older age at the time of PhMPN diagnosis and male sex were associated with SSC occurrence. PhMPN patients diagnosed with SSC and patients with no diagnosis of SSC showed no significant difference in complete blood count results, spleen size, PhMPN diagnostic groups, or driver mutation frequencies. However, patients with SSC had a higher frequency of arterial thrombosis and a tendency towards an increased rate of total thrombosis (p=0.030 and p=0.069, respectively). In multivariate analysis, arterial thrombosis was the sole independent risk factor and interferon (IFN)-based therapy was the sole protective factor for SSC development. Median overall survival (OS) did not differ between patients with and without SSC except for polycythemia vera patients with SSC, who had shorter OS (175 +/- 15 versus 321 +/- 26 months, respectively; p=0.005). Conclusion: This study highlights the prevalence and characteristics of SSCs in Turkish patients diagnosed with PhMPNs. Arterial thrombosis was associated with increased SSC risk while IFN-based therapy offered potential protection from SSC. Screening for SSC in Ph- MPN patients with arterial thrombosis may be valuable. These findings emphasize the importance of malignancy screening in Ph- MPN patients, especially in high-risk subgroups, and call for further research to elucidate the underlying mechanisms and optimize treatment strategies.

Polycythemia vera (PV) diagnosis remains a difficult task despite various updates in the 2016 World Health Organization (WHO) diagnostic criteria compared to 2008 criteria. This study aimed to examine the biochemical and clinical features of patients diagnosed with PV using the WHO 2016 criteria but would have been missed by the WHO 2008 criteria, and to ascertain the impact of the lowered thresholds on PV diagnosis. A total of 229 patients with suspected myeloproliferative neoplasms were included in this cross sectional study. The study group was divided with regard to hemoglobin values. Group A consisted of 126 patients with hemoglobin values of ≤ 18.5 g/dL in males and ≤ 16.5 g/dL in females. Group B comprised 103 patients with hemoglobin values of > 18.5 g/dL in males and > 16.5 g/dL in females. The number of PV diagnoses increased to 145 from 87 (increased by 66.67%) when the 2016 diagnostic criteria were employed rather that the 2008 criteria. Mean age and the frequency of female subjects were lower in Group A compared to Group B. The groups were similar in terms of chronic obstructive pulmonary disease/obstructive sleep apnea syndrome, spleen status, smoking status, and mean corpuscular volume, white blood count, neutrophil, eosinophil and platelet values. red blood cells and lactate dehydrogenase values were significantly higher, while lymphocyte counts were significantly lower in Group B. With the introduction of WHO 2016 criteria, we found a significant increase in the number of patients who were candidates for PV testing and were ultimately diagnosed with PV. These findings support the diagnostic value of the 2016 WHO criteria, and by extension, the lowered thresholds for detection of patients requiring further analysis.