Identification of Anticoagulation Benefit Subgroups of Patients With Left Ventricular Thrombus

Zechen Liu1,2,3, Boqun Shi1,2,4, Rui Zhang1,2,3

  • 1Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, 100037 Beijing, China.

Insights

Anticoagulation therapy benefits only select left ventricular thrombus (LVT) patients. Younger LVT patients with fewer complications and more cardiomyopathies show improved outcomes with anticoagulation.

Area of Science:

  • Cardiology
  • Clinical Research
  • Thrombosis Management

Background:

  • Left ventricular thrombus (LVT) is linked to adverse cardiovascular and cerebrovascular events.
  • Current anticoagulation strategies for LVT show varied efficacy, particularly in Asian populations.
  • Identifying specific LVT patient subgroups who benefit from anticoagulation is crucial.

Purpose of the Study:

  • To explore the heterogeneity of clinical phenotypes in LVT patients.
  • To determine which LVT patient subgroups benefit from anticoagulation therapy.
  • To investigate the relationship between anticoagulation and major adverse cardiovascular and cerebrovascular events (MACCEs) and bleeding.

Main Methods:

  • Latent class analysis (LCA) was used to cluster 1085 LVT patients based on clinical characteristics.
  • Kaplan-Meier curves and Cox analysis assessed the impact of anticoagulation on MACCEs and major bleeding.
  • Follow-up occurred over a median of 36.5 months.

Main Results:

  • Four distinct patient clusters were identified using LCA.
  • Anticoagulation significantly reduced MACCEs risk only in cluster 4 (HR: 0.486, 95% CI: 0.243-0.971).
  • No significant benefit or harm from anticoagulation was observed in other clusters or the overall population; no significant bleeding risk was found.

Conclusions:

  • Anticoagulation therapy is not universally beneficial for all LVT patients.
  • Younger LVT patients with fewer complications and more cardiomyopathies are more likely to benefit.
  • Personalized treatment strategies based on patient clusters are warranted.
Abstract

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