Approach to Contemporary Risk Assessment, Prevention and Management of Thrombotic Complications in Multiple Myeloma

Despina Fotiou1, Meletios Athanasios Dimopoulos1, Efstathios Kastritis1

  • 1Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece.

Cancers
|December 23, 2022
PubMed

Insights

Multiple myeloma patients face high thrombosis risk. Understanding disease pathophysiology and optimizing risk assessment scores with biomarkers are key for better prevention strategies.

Area of Science:

  • Hematology
  • Oncology
  • Thrombosis Research

Background:

  • Multiple myeloma (MM) significantly elevates thrombotic complication risk, even with prophylaxis.
  • The procoagulant state in MM is complex, necessitating deeper pathophysiological understanding for effective thrombosis prevention.
  • Current anticoagulation strategies are evolving, with a trend towards direct oral anticoagulants (DOACs), but comparative trials are lacking.

Purpose of the Study:

  • To review the current understanding of thrombosis risk in multiple myeloma.
  • To discuss the evolving role of direct oral anticoagulants (DOACs) in MM-related thrombosis.
  • To evaluate the utility of MM-specific venous thromboembolism (VTE) risk assessment scores and potential biomarker integration.

Main Methods:

  • Literature review of pathophysiology and clinical trials.
  • Analysis of current anticoagulation practices in MM.
  • Assessment of risk stratification tools and biomarkers for VTE in MM.

Main Results:

  • Thrombosis remains a significant challenge in MM despite prophylaxis.
  • Direct oral anticoagulants (DOACs) are increasingly used, but head-to-head trial data is absent.
  • MM-specific VTE risk scores exist, but their clinical utility and the value of biomarkers require further evaluation.

Conclusions:

  • Improved understanding of MM pathophysiology is crucial for advanced thrombosis prevention.
  • Further research is needed to compare DOACs and validate risk assessment tools, including biomarker integration, for optimal VTE management in MM.

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