Identifying Patients with Polycythemia Vera at Risk of Thrombosis after Hydroxyurea Initiation: The Polycythemia Vera-Advanced Integrated Models (PV-AIM) Project

Polycythemia vera: past, present and future

There has been remarkable progress in the development of novel therapeutic approaches for patients with polycythemia vera (PV). Historically, therapy goals in PV were to mitigate thrombotic risks and control blood counts and symptoms. There is now increased focus on disease modification through progressive attrition of JAK2-mutant stem/progenitor cells. The approval of ropeginterferon, a novel monoPEGylated interferon, coupled with findings from LOW-PV and longer-term data from CONTINUATION-PV that strongly support a disease-modifying effect for interferon therapy, have transformed the treatment paradigm for this disorder. Results from MAJIC-PV demonstrate that disease modification can also be induced with JAK inhibitors, suggesting an urgent need to incorporate prospective molecular monitoring into PV trials. Novel agents, such as hepcidin mimetics, aim to help patients with PV restore normal hematocrit levels and become phlebotomy-free. In this review, we will summarize past, current and future approaches to PV management and highlight findings from key clinical studies.

Accounting for Red Cell Distribution Width Improves Risk Stratification by Commonly Used Mortality/Deterioration Risk Scores in Adult Patients Hospitalized Due to COVID-19

Higher red blood cell distribution width (RDW) levels have gained attention in the prognostication of many chronic metabolic and malignant diseases, as well as coronavirus disease 2019 (COVID-19). We aimed to evaluate whether accounting for RDW might contribute to risk stratification when added to commonly used risk scoring systems in adult COVID-19 patients. We retrospectively analyzed a cohort of 3212 non-critical COVID-19 patients hospitalized in a tertiary-level institution from March 2020 to June 2021. Admission RDW values were considered normal if they were ≤14.5% in males or ≤16.1% in females. The Modified Early Warning Score (MEWS), International Severe Acute Respiratory and Emerging Infections Consortium Coronavirus Clinical Characterisation Consortium score (ISARIC 4C), and Veterans Health Administration COVID-19 (VACO) index were evaluated as prognostic scores. RDW exceeded the upper limit in 628 (19.6%) of the patients. When RDW was accounted for, risks of the predicted outcomes were considerably different within the same MEWS, 4C score, and VACO index levels. The same patterns applied equally to patients who started, and those who did not start, remdesivir before deterioration. RDW may be a useful tool for stratifying risk when considered on top of commonly used prognostic scores in non-critical COVID-19 patients.

Applications of artificial intelligence to myeloproliferative neoplasms: a narrative review

INTRODUCTION

Artificial intelligence (AI) is a rapidly growing field of computational research with the potential to extract nuanced biomarkers for the prediction of outcomes of interest. AI implementations for the prediction for clinical outcomes for myeloproliferative neoplasms (MPNs) are currently under investigation.

AREAS COVERED

In this narrative review, we discuss AI investigations for the improvement of MPN clinical care utilizing either clinically available data or experimental laboratory findings. Abstracts and manuscripts were identified upon querying PubMed and the American Society of Hematology conference between 2000 and 2023. Overall, multidisciplinary researchers have developed AI methods in MPNs attempting to improve diagnostic accuracy, risk prediction, therapy selection, or pre-clinical investigations to identify candidate molecules as novel therapeutic agents.

EXPERT OPINION

It is our expert opinion that AI methods in MPN care and hematology will continue to grow with increasing clinical utility. We believe that AI models will assist healthcare workers as clinical decision support tools if appropriately developed with AI-specific regulatory guidelines. Though the reported findings in this review are early investigations for AI in MPNs, the collective work developed by the research community provides a promising framework for improving decision-making in the future of MPN clinical care.

Red cell distribution width and prognosis in myelofibrosis patients treated with ruxolitinib

We evaluated RDW in a single-center series of 61 consecutive patients with primary and secondary MF at diagnosis and during treatment with ruxolitinib (RUX) and examined any possible prognostic impact. Elevated RDW values were present in all but 4 patients at diagnosis with a median RDW of 18.9%. RDW was higher in subjects with palpable splenomegaly (p = 0.02), higher ferritin, as well as among those cases who did not receive any cytoreduction before RUX (p = 0.04). Interestingly, higher RDW at diagnosis also correlated with a shorter time from MF diagnosis to RUX start (-4.1 months per one RDW unit; p = 0.03). We observed a modest increase (< 1%) in RDW during the first 6 months of RUX treatment. In a multivariable random-intercept model that considered all time points and contained the covariates time and RUX dose, we also observed a clear decrease in RDW with increasing hemoglobin (Hb) during RUX (slope: -0.4% per g/dL of Hb; p < 0.001). The median RDW at diagnosis of 18.9% was used as a cut-off to identify two subgroups of patients [Group 1: RDW 19.0-25.7%; Group 2: RDW 13.1-18.7%], showing a difference in mortality [Group 1 vs. 2: crude HR 2.88; p = 0.01]. Using continuous RDW at diagnosis, the crude HR was 1.21 per RDW unit (p = 0.002). In a Cox model adjusted for gender, age and Hb at diagnosis, the HR was 1.13 per RDW unit (p = 0.07). RDW may have prognostic significance at MF diagnosis and during RUX, helping in the rapid detection of patients with poor prognosis.

Systemic Inflammatory Index in Polycythemia Vera and Its Prognostic Implications

Background: This study aimed to evaluate the clinical and prognostic associations of the systemic inflammatory index (SII) in polycythemia vera (PV) patients. SII integrates information on absolute neutrophil (ANC), lymphocyte (ALC), and platelet counts into one index (calculated as ANCxALC/platelet count) and was previously shown to predict thrombotic and mortality risks in the general population. Methods: A total of 279 PV patients treated in several hematologic centers in Croatia and Serbia was retrospectively evaluated. Results: The median SII for the overall cohort was 1960. Higher SII stratified at the specific cut-off points was significantly associated with shorter time to thrombosis (TTT; p = 0.004) driven by arterial thrombotic events, and shorter overall survival (OS; p < 0.001). Higher SII was able to refine the European Leukemia Net-defined high-risk patient subgroup for both thrombotic and survival risks, especially in individuals over 60 years of age. SII and all other evaluated CBC components and indices (leukocytes, ANC, ALC, platelets, neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR)) demonstrated low-to-modest prognostic properties, whereas SII outperformed other parameters with respect to TTT and OS prognostications. Discussion: The presented results complement prior studies evaluating the prognostic performance of different CBC components for thrombotic and survival risk predictions and offer more options to personalize PV treatments.

Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot

The goal of machine learning (ML) is to create informative signals and useful tasks by leveraging large datasets to derive computational algorithms. ML has the potential to revolutionize the healthcare industry by boosting productivity, enhancing safe and effective patient care, and lightening the load on clinicians. In addition to gaining mechanistic insights into cancer-associated thrombosis (CAT), ML can be used to improve patient outcomes, streamline healthcare delivery, and spur innovation. Our review paper delves into the present and potential applications of this cutting-edge technology, encompassing three areas: i) computer vision-assisted diagnosis of thromboembolism from radiology data; ii) case detection from electronic health records using natural language processing; iii) algorithms for CAT prediction and risk stratification. The availability of large, well-annotated, high-quality datasets, overfitting, limited generalizability, the risk of propagating inherent bias, and a lack of transparency among patients and clinicians are among the challenges that must be overcome in order to effectively develop ML in the health sector. To guarantee that this powerful instrument can be utilized to maximize innovation in CAT, clinicians can collaborate with stakeholders such as computer scientists, regulatory bodies, and patient groups.

Optimization of cardiovascular risk factor management in patients with BCR::ABL1 negative chronic myeloproliferative neoplasms, current knowledge, and perspectives

The exact prognostic role of cardiovascular (CV) risk factors in patients with BCR::ABL1 negative chronic myeloproliferative neoplasms (MPNs) remains unknown as it is often masked by other MPN-related features that bear strong prognostic impact on thrombotic risk. Therefore, current MPN treatment is not primarily guided by presence of CV risk factors. Treatment of CV risk factors in MPN patients usually mirrors that from the general population, despite the fact that CV risk factors in MPNs have their own specificities. Moreover, the optimal target levels for different metabolic deflections in MPNs (i.e., low-density lipoprotein, serum uric acid, or glycated hemoglobin levels) have not been defined. In the current review, we separately discuss the most important aspects of every individual CV risk factor (arterial hypertension, hyperlipidemia, chronic kidney disease, smoking, diabetes mellitus, hyperuricemia, and obesity and cachexia) in MPNs, summarize recent advances in the field, and propose future directions and research areas which may be needed to appropriately manage CV risk factors in MPNs.

Evaluation of Absolute Neutrophil, Lymphocyte and Platelet Count and Their Ratios as Predictors of Thrombotic Risk in Patients with Prefibrotic and Overt Myelofibrosis

AIM

To investigate the prognostic contribution of absolute neutrophil (ANC), lymphocyte (ALC), platelet count and their ratios, neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), to thrombotic risk in patients with prefibrotic and overt fibrotic myelofibrosis (MF).

METHODS

We retrospectively analyzed a cohort of 256 patients with prefibrotic (85 patients) and overt fibrotic MF (171 patients) treated in six Croatian hematological centers.

RESULTS

Prefibrotic compared to overt fibrotic MF patients presented with significantly higher ALC, platelet count and PLR, and experienced longer time to thrombosis (TTT). Among prefibrotic patients, ANC > 8.33 × 109/L (HR 13.08, p = 0.036), ALC > 2.58 × 109/L (HR 20.63, p = 0.049) and platelet count > 752 × 109/L (HR 10.5, p = 0.043) remained independently associated with shorter TTT. Among overt fibrotic patients, ANC > 8.8 × 109/L (HR 4.49, p = 0.004), ALC ≤ 1.43 × 109/L (HR 4.15, p = 0.003), platelet count ≤ 385 × 109/L (HR 4.68, p = 0.004) and chronic kidney disease (HR 9.07, p < 0.001) remained independently associated with shorter TTT.

CONCLUSIONS

Prognostic properties of ANC, ALC and platelet count are mutually independent and exceed those of NLR and PLR regarding thrombotic risk stratification. ALC and platelet count associate in opposite directions with thrombotic risk in prefibrotic and overt fibrotic MF patients.

SOHO State of the Art Update and Next Questions: Novel Therapies for Polycythemia Vera

In the recent years, landmark advancements in the treatment of polycythemia vera (PV) have been achieved. We witnessed the regulatory approval of ropeginterferon and the advanced clinical development of other novel agents that may affect the underlying pathophysiological mechanisms of the disease. Agents with the potential of disease modification may soon overtake preceding treatment options that were based on the patient's age and history of thrombosis. Recent studies using ropeginterferon in low-risk PV patients earlier in the disease course challenge the current treatment paradigm and shift the focus on modifying the course of the disease. Hepcidin mimetics offer an excellent alternative to phlebotomy, providing better quality of life, and may lead to improved outcomes in PV by tight hematocrit control. Novel agents, such as histone deacetylase inhibitors, hold promise to complement the therapeutic landscape of PV and might be particularly promising in rationale combinations. Ruxolitinib is well established as an approved second-line treatment for PV. In the frontline setting, the precise role of ruxolitinib, which also represents an appealing agent in combination regimens, will be determined in ongoing research studies. Longer follow-up is necessary to assess whether novel agents/regimens elicit fewer thromboembolic/ hemorrhagic events and halt disease progression to myelofibrosis and acute myeloid leukemia. We aspire that disease-modifying approaches in PV are on the horizon, and that we will be empowered to ultimately change the natural course of the disease and profoundly impact the lives of PV patients in the near future.

Red Blood Cell Contribution to Thrombosis in Polycythemia Vera and Essential Thrombocythemia

Polycythemia vera (PV) and essential thrombocythemia (ET) are myeloproliferative neoplasms (MPN) characterized by clonal erythrocytosis and thrombocytosis, respectively. The main goal of therapy in PV and ET is to prevent thrombohemorrhagic complications. Despite a debated notion that red blood cells (RBCs) play a passive and minor role in thrombosis, there has been increasing evidence over the past decades that RBCs may play a biological and clinical role in PV and ET pathophysiology. This review summarizes the main mechanisms that suggest the involvement of PV and ET RBCs in thrombosis, including quantitative and qualitative RBC abnormalities reported in these pathologies. Among these abnormalities, we discuss increased RBC counts and hematocrit, that modulate blood rheology by increasing viscosity, as well as qualitative changes, such as deformability, aggregation, expression of adhesion proteins and phosphatidylserine and release of extracellular microvesicles. While the direct relationship between a high red cell count and thrombosis is well-known, the intrinsic defects of RBCs from PV and ET patients are new contributors that need to be investigated in depth in order to elucidate their role and pave the way for new therapeutical strategies.