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: Although the cure rates of classical Hodgkin Lymphoma (cHL) are as high as 90% using the current treatment protocols, the prognosis is poor for primary refractory patients. Thus, a biomarker that can predict patients with early progression at the time of diagnosis is an unmet clinical need. Endothelial activation and stress index (EASIX) and its variant modified EASIX (mEASIX) is a scoring system currently used for the prediction of prognosis in hematologic malignancies. This study aimed to investigate the prognostic value of the mEASIX score in newly diagnosed cHL patients. Methods: Data from 206 patients who underwent positron emission tomography (PET)-guided doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD) therapy for cHL between January 2007 and November 2023 were retrospectively analyzed. The prognostic value of the mEASIX score was evaluated using the receiver operating characteristic (ROC) analysis, Cox regression analysis, and the Kaplan–Meier method, and then compared with standard risk assessment methods. Results: The median age at diagnosis was 33 years, and the rate of patients in the advanced stage was 67%. ROC analysis determined an optimal mEASIX score cut-off of 17.28, categorizing patients into mEASIX^high (47%) and mEASIX^low (53%) groups. The 5-year progression-free survival (PFS) (60% vs. 84.3%) and overall survival (OS) (79.6% vs. 95.8%) were significantly lower in the mEASIX^high group (p < 0.001). Additionally, multivariate analysis showed that the independent variables affecting PFS included the nodular sclerosing subtype (HR: 0.4), bone marrow involvement (HR: 2.6), and elevated mEASIX (HR: 3.1). Independent variables, which had an effect on OS included elevated mEASIX (HR:3.8) and higher IPS-3 scores (HR:1.9). Furthermore, a higher mEASIX score (≥17.28) was identified as an independent variable indicating primary refractory disease (OR: 6.5). Conclusions: mEASIX is a powerful and easy-to-access marker for the detection of primary refractory disease and prognosis in newly diagnosed cHL cases.

Tyrosine kinase inhibitors (TKIs) are crucial for improving the survival rates of individuals with metastatic thyroid cancer. Moreover, systemic inflammation and malnutrition are known to negatively affect metastatic thyroid cancer prognosis. Evaluating nutritional status at the start of treatment can improve survival rates. Purpose: This study investigated the correlation between the hemoglobin, albumin, lymphocyte count, and platelet (HALP) score and prognosis of patients with metastatic thyroid cancer undergoing first-line TKI therapy. Methods: We retrospectively analyzed data from 44 patients between January 2010 and June 2024. The primary outcomes evaluated in the study were time to treatment failure (TTF) and overall survival (OS); HALP scores were categorized as low (≤29.21) and high (>29.21) based on receiver operating characteristic analysis. Results: The 1-year survival rate was significantly lower in the low HALP score group compared to the high HALP score group (50% vs. 96.3%). Multivariate Cox regression analysis revealed that low HALP scores, elevated leukocyte counts, and lymphopenia were independent predictors of shorter TTF (HR = 0.272, p = 0.011) and OS (HR = 0.208, p = 0.028). Conclusions: The results obtained in the present study demonstrate that the HALP score has prognostic significance for patients with metastatic thyroid cancer who are undergoing first-line TKI treatment. In metastatic thyroid cancer patients, interventions focused on improving nutritional status at the start, during initiation, and throughout the TKI treatment may enhance treatment effectiveness. However, further prospective studies involving larger patient cohorts are necessary to validate our results.

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.

Background: Several thrombotic risk assessment models have been proposed for identifying patients with a high risk of thrombosis (the IMPEDE venous thromboembolism (VTE), SAVED, and PRISM scores) in multiple myeloma (MM). Recently, adding a biomarker (D-dimer) for the IMPEDE VTE score has shown that it can boost the detection power of IMPEDED VTE. However, data from studies comparing these models in MM are scarce. Even real-world data arguing the utility of thrombotic risk assessment models in MM from low- or middle-income countries like Türkiye are lacking. Methods: We aimed to show the possibility of detecting VTE using the IMPEDED VTE score in our cohort by retrospectively screening MM patients. Therefore, we aimed to compare the IMPEDE VTE, SAVED and IMPEDED VTE scoring models. Results: We conducted a retrospective analysis of 455 MM patients from three centers in Bursa, Türkiye, evaluating the incidence of VTE within six months of the treatment. The IMPEDED VTE score showed superior predictive accuracy (c-statistic of 0.701), compared to the IMPEDE VTE (0.618) and SAVED (0.633) scores, demonstrating the added value of D-dimer as a biomarker. The cumulative incidence of VTE in the cohort was 10.7%, comparable to rates observed in real-world studies. Conclusions: Despite the interventions and thrombotic risk assessment models, thrombosis remains a high-risk entity. Personalized risk assessment tools, such as IMPEDED VTE, could be used to manage thrombotic risk in MM patients, particularly in resource-limited settings. Albeit the thromboprophylaxis (51.6%), our findings support the utility of biomarker-enhanced models for better VTE-risk stratification, particularly in resource-limited settings.