Implementation of Algorithm-Based Approach for Ph-Negative Myeloproliferative Neoplasms in Routine Clinical Practice in Russia

doi:10.33513/dthj/1901-01

Abstract

Highlights

The myeloproliferative neoplasms are consisted of the substantial part of hematological malignancies
The implementation of diagnostic algorithm diminished the period between first hematologist referral to diagnosis established from 57 days in control group up to 16 days in study group
The results of our study showed the benefit of implementation risk-based approach for Phnegative myeloproliferative neoplasms (Ph-MPN) patients management in clinical practice allow to use less frequently cytoreduction therapy and improve overall survival and complications risk

Summary

Introduction

The myeloproliferative neoplasms are consisted of the substantial part of hematological malignancies. The. US epidemiological data of incidence per 100 000 population based on previous diagnostic criteria are as follows: PV - 0.79, PMF - 0.25, ET - 0.53 and MPN-U - 0.41 [1]. There is much progress in its diagnostic and treatment in the last fifteen years. The overall survival of Ph-MPN patient affected by thrombotic and leukemia progression risks with different balance from disease to disease [6]. The individual choice from several available treatment methods should be based on balance between potential benefit and risk of adverse events and disease progression. There are some prognostic models for every classic Ph-negative myeloproliferative disease (ET, PV and PMF) that based on retrospective analysis. The implications of treatment algorithms based on such prognostic scales could have of value to increase the overall survival and minimize of adverse events and complications. We have developed algorithms for use in own routine clinical practice for Ph-MPN patients management

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Conclusion