Background and Objective: Perianal pathologies are the most common cause of perianal infections in patients with hematological malignancies. Perianal infection diagnosis in this group of patients is difficult, thus careful anorectal examination is necessary, with imaging modalities. The literature revealed a knowledge gap on the approach of anal pathologies in patients with neutropenia during diagnosis or chemotherapy. This study aimed to examine our institutional data of perianal complications and investigate the relationship among the white blood cell-neutrophil count, perianal lesion, and the type of treatment in patients with hematologic malignancies during the neutropenic period. Methods: Patients with a hematologic malignancy, hospitalized for cytotoxic chemotherapy, complicated by perianal pathology, and documented by at least one imaging method were included in the study. Results: A total of 42 patients were included in the study. The comparison between the groups revealed no statistical significance between the anal abscess formation and the neutrophil count and previous perianal pathology. A statistical significance in favor of acute myeloid leukemia was found between patient diagnosis and anal abscess development. An inverse relationship was found between the number of white blood cells at hospitalization and having an anal pathology operation. It was observed that patients with high white blood cell count were less operated on due to anal pathology. Conclusions: In conclusion, this article has shown that white blood cell count at the time of hospitalization in patients with hematological malignancy, can affect the operation status of patients due to anal pathologies that may occur in the neutropenic period.

The impact of inflammatory markers such as systemic immune-inflammation (SII) index and systemic inflammation response index (SIRI) on myelofibrosis (MF) prognosis was evaluated for the first time in this study. Data from 60 patients diagnosed with MF between March 2011 and September 2022 were retrospectively analyzed. In addition to disease-related markers, the impact of SII and SIRI on prognosis was evaluated. In our study, the overall median survival (OS) was 64 months. OS was significantly shorter in patients older than 65 years, with high ferritin and lymphocyte levels, transfusion dependence at diagnosis, platelet count below 100 × 10⁹/L, Hb level below 8 g/dl, and high risk according to the dynamic international prognostic scoring system (DIPSS)-Plus score. When these variables were included in the multivariate Cox regression model, it was found that being older than 65 years, having a high ferritin value, being at high risk according to the DIPSS-plus score and Hb values below 8 increased the risk of death. Platelet-to-lymphocyte ratio (PLR) and SII index were lower in patients with a fatal outcome. No statistically significant relationship was found between SIRI and mortality. The findings of this study showed that low PLR and high ferritin were associated with poor prognosis in MF. Elevated SII and SIRI, evaluated for the first time in patients with myelofibrosis, did not predict prognosis. Since non-inflammatory variables play a role in the pathogenesis of MF, bone marrow indicators and systemic inflammation indicators derived from hematologic parameters may not be accurate.

Background and Objectives: Bleeding is a major cause of mortality in cases of acute myeloid leukemia (AML)-associated disseminated intravascular coagulation (DIC). The predictive power of the standard International Society on Thrombosis and Hemostasis (ISTH) score for bleeding in patients diagnosed with AML is limited. This study aimed to evaluate the performance of the standard ISTH score and modified versions in predicting bleeding among acute promyelocytic leukemia (APL, M3) and non-APL AML subgroups. Methods: This single-center, retrospective study included 190 AML patients (61 APL, 129 non-APL). The predictive power of the original ISTH score and eight different modified scores—incorporating parameters such as lactate dehydrogenase (LDH) and genetic positivity—for DIC-related bleeding was assessed using receiver operating characteristic (ROC) analysis. Results: In the APL group, the original ISTH score was statistically significant in predicting DIC-related bleeding (AUC = 0.727), but the modifications did not improve performance. In the non-APL AML group, the original score did not predict bleeding (AUC = 0.632, p = 0.079). However, a modified ISTH score excluding D-dimer and including LDH (≥800 mg/dL) and genetic positivity significantly improved prediction (AUC = 0.710, p = 0.005). This modification increased specificity from 48.2% to 60.7% and sensitivity from 76.5% to 82.4%. Conclusions: A subtype-specific approach is required to predict bleeding risk in AML-associated DIC. Modified ISTH scores remain suboptimal for APL; however, a modified score incorporating LDH and genetic status represents a promising tool to identify non-APL AML patients at risk of bleeding and warrants prospective validation.

Aims: It was aimed at measuring the comorbidities of chronic myeloid leukemia (CML) patients at the time of diagnosis with different comorbidity indices and evaluating their effects on disease prognosis. Methods: The comorbidities of the patients were retrospectively screened and calculated in three different comorbidity indices: the ACE-27 Comorbidity Index, the Age-adjusted Charlson Comorbidity Index, and the Elixhauser Comorbidity Index. C-statistic was used to evaluate the ability of comorbidity indices to discriminate mortality. The relationship between the calculated scores and overall survival (OS) was evaluated with the Kaplan-Meier curve. Mortality risk was analyzed with a multivariate Cox regression model. Results: A total of 218 CML patients were evaluated, and 211 chronic-phase patients were included in this study. The median age of the patients was 56 years (21–89), and 53% were female. As initial tyrosine kinase inhibitors, 201 (95%) patients were treated with imatinib, 10 (5%) patients with nilotinib. The median follow-up was 94.50 (9–201) months. The median OS was not reached. The most common comorbid conditions were hypertension 23% ( n = 48), weight loss 19% ( n = 40), diabetes mellitus 13% ( n = 27), and cardiovascular disease 9% ( n = 19). C-statistic values were 0.76 for ACE-27, 0.41 for ACCI, and 0.32 for ECI scores. In the Cox regression model including comorbidity scores, mortality risk was higher in patients with moderate ACE-27 score (HR: 148.05; 95% CI: 7.89–2751.53; p = 0.012), severe ACE-27 score (HR: 232.36; 95% CI: 14.20–4793.20; p = 0.001), ECOG 3 score (HR: 34.62; 95% CI: 2.67–447.36; p = 0.007), and high ELTS score (HR: 27.52; 95% CI: 1.34–543.68; p = 0.031). Conclusion: This study showed that the ACE-27 Comorbidity Index is effective in predicting prognosis in CML patients. Therefore, comorbid conditions should be used more frequently as a prognostic marker at the time of diagnosis.

In this research, it was aimed to evaluate effects of methane emissions on multiple myeloma related mortality rates. Two countries in Europe (Germany and Netherlands) and 1 country for each region (Turkey, USA, Brazil, Egypt, and Australia) were selected within The World Health Organization Database. Multiple myeloma mortality rates of countries between 2009 and 2019 were used as dependent variable of the research. Methane emission level and agriculture methane levels of countries were used as independent variables from The World Bank Database. Current health expenditure and healthy life expectancy were used as controlling variables. Multiple myeloma-related mortality rate was the highest in the USA, followed by Germany, Brazil, Turkey, Australia, Netherlands, and Egypt. Difference analysis results were significant (P < .05). Methane and agriculture methane emissions were the highest in the USA. Multiple myeloma mortality was positively correlated with methane emissions (R = 0.504; P < .01), agricultural methane emissions (R = 0.705; P < .01), and current health expenditure (R = 0.528; P < .01). According to year and country controlled correlation analysis results, multiple myeloma mortality (MMM) was positively correlated with methane emissions (R = 0.889; P < .01), agricultural methane emissions (R = 0.495; P < .01), and current health expenditure (R = 0.704; P < .01). Methane emission (B = 0.01; P < .05), Germany (B = 9010.81; P < .01), the USA (B = 26516.77; P < .01), and Brazil (B = 4886.14; P < .01) had significant effect on MMM. Nonagricultural methane production has an increasing effect on MMM. Therefore, by looking at the differences between agricultural methane emissions and general methane emissions, studies can be conducted that allow for more effective global comparisons.

Myelodysplastic syndrome (MDS) is a clonal hematopoietic stem cell disease. Supportive treatments, such as erythropoiesis-stimulating agents (ESAs), are commonly used in patients with low-risk MDS. This study aimed to retrospectively assess the impact of bone marrow Mothers against decapentaplegic homolog 7 (SMAD-7) and transforming growth factor beta 1 (TGF-β1) protein expression on prognosis and response to ESA treatment in patients with low-risk MDS. We retrospectively analyzed patients diagnosed with low-risk MDS at the adult hematology department of Bursa Uludağ University Hospital. A total of 56 patients classified as low or very low risk were included in the study. Immunohistochemical analysis of bone marrow specimens at diagnosis showed that only five patients (9.8%) exhibited low SMAD-7 staining, while 51 patients (90.2%) showed no staining. Regarding TGF-β1 staining, 18 patients (32.1%) demonstrated moderate to high staining, whereas 38 patients (67.9%) exhibited low (36/38) or no staining (2/38). A statistically significant correlation was found between TGF-β1 staining levels and ESA treatment administration (P = 0.011). Additionally, a significant relationship was observed between lower erythropoietin (EPO) levels and moderate to high TGF-β1 staining (P = 0.04). However, when TGF-β1 staining status was compared with first- and third-month treatment responses in patients receiving ESA therapy, no significant difference was detected between groups. These findings suggest that while TGF-β1 alone may not be sufficient to predict ESA treatment response, additional parameters related to the TGF-β/SMAD pathway should be considered. Strong TGF-β1 staining, alongside EPO levels, may influence the decision to initiate ESA therapy.