TNF-α is a predictive marker in distinguishing myeloproliferative neoplasm and idiopathic erythrocytosis/thrombocytosis: development and validation of a non-invasive diagnostic model
Zhenhao Wang, Yu Mei, Zhuming Yang, Qiang Gao, Hao Xu, Zhiqiang Han, Zhenya Hong

TL;DR
This study developed a non-invasive diagnostic model using TNF-α and other factors to distinguish between myeloproliferative neoplasm and idiopathic erythrocytosis/thrombocytosis.
Contribution
The novel contribution is the integration of TNF-α with clinical parameters into a validated nomogram for differentiating MPN and IE/IT.
Findings
MPN patients had significantly higher TNF-α levels than IE/IT patients.
A nomogram combining TNF-α, platelet count, age, and spleen size achieved a high C-index of 0.979.
TNF-α levels correlate with the severity of myelofibrosis in MPN patients.
Abstract
Philadelphia-chromosome negative myeloproliferative neoplasms (MPN) exhibit phenotypic similarities with JAK/STAT-unmutated idiopathic erythrocytosis and thrombocytosis (IE/IT). We aimed to develop a clinical diagnostic model to discern MPN and IE/IT. A retrospective study was performed on 77 MPN patients and 32 IE/IT patients in our center from January 2018 to December 2023. We investigated the role of hemogram, cytokine and spleen size in differentiating MPN and IE/IT among newly onset erythrocytosis and thrombocytosis patients. Independent influencing factors were integrated into a nomogram for individualized risk prediction. The calibration and discrimination ability of the model were evaluated by concordance index (C-index), calibration curve. MPN had significantly higher TNF-α level than IE/IT, and the TNF-α level is correlated with MF-grade. Multivariable analyses revealed that…
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Taxonomy
TopicsMyeloproliferative Neoplasms: Diagnosis and Treatment · Eosinophilic Disorders and Syndromes · Acute Myeloid Leukemia Research
