Real-World Electronic Medical Records Data Identify Risk Factors for Myelofibrosis and Can Be Used to Validate Established Prognostic Scores.

Simple Summary: Myelofibrosis is a rare bone marrow disorder, leading to an increasing failure to generate healthy blood cells. Defining clinical prognosis scores for rare diseases is difficult, as sufficient numbers of patients for score validation are difficult to obtain. The current study investigates the utility of the TriNetX database, containing electronic medical records for over 140 million patients, to identify risk factors and establish clinical scores. TriNetX includes more than 64,000 myelofibrosis patients, and the present study explores factors influencing survival and common complications. Age over 65, anemia, an increased number of leukocytes, a low platelet count and an increased number of monocytes are associated with increased risks, while high numbers of eosinophiles and basophiles show positive associations. We demonstrate that the TriNetX database offers insights to refine predictive models, crucial for tailoring treatments to individual patient risks in the complex landscape of rare diseases like myelofibrosis. Myelofibrosis (MF) is a myeloproliferative neoplasia arising de novo as primary myelofibrosis (PMF) or secondary to polycythemia vera or essential thrombocythemia. Patients experience a high symptom burden and a marked reduction in life expectancy. Despite progress in molecular understanding and treatment, the clinical and prognostic heterogeneity of MF complicates treatment decisions. The International Prognostic Scoring System (IPSS) integrates clinical factors for risk stratification in MF. This study leverages the TriNetX database with more than 64,000 MF patients to assess the impact of accessible parameters on survival and complicating events, including AML transformation, cachexia, increased systemic inflammation, thrombosis and hemorrhage. Age over 65 years correlated with increased risks of death, AML transformation, thrombosis and hemorrhage. Anemia (Hb < 10 g/dL), leukocytosis (>25 × 10³/µL) and thrombocytopenia (<150 × 10³/µL) reduced survival and increased risks across all assessed events. Monocytosis is associated with decreased survival, whereas eosinophilia and basophilia were linked to improved survival. Further, as proof of concept for the applicability of TriNetX for clinical scores, we devised a simplified IPSS, and confirmed its value in predicting outcomes. This comprehensive study underscores the importance of age, anemia, leukocytosis and thrombocytopenia in predicting disease trajectory and contributes to refining prognostic models, addressing the challenges posed by the disease's heterogeneity. [ABSTRACT FROM AUTHOR]