Long-term prognostic value of protein C activity, erythrocyte aggregation and membrane fluidity in transmural

Luis Sargento1, Carlota Saldanha, José Monteiro

  • 1Instituto de Bioquímica, Unidade de Biopatologia Vascular-IMM, Faculdade de Medicina de Lisboa, Portugal. Luis.sargento@netcabo.pt

Insights

Disturbances in blood clotting, flow, and inflammation after myocardial infarction (MI) predict future cardiovascular events. Monitoring these factors at discharge can identify high-risk patients for long-term management.

Area of Science:

  • Cardiology
  • Hematology
  • Biochemistry

Background:

  • Transmural myocardial infarction (MI) survivors face risks of recurrent cardiovascular events.
  • Identifying long-term predictors of these events is crucial for patient management.
  • Haemostatic, inflammatory, and haemorheologic factors are implicated in cardiovascular disease.

Purpose of the Study:

  • To evaluate the long-term predictive value of haemostatic, inflammatory, and haemorheologic disturbances in survivors of transmural MI.
  • To determine if specific biomarkers at hospital discharge can predict future cardiovascular events.

Main Methods:

  • Sixty-four MI survivors were followed for 36 months.
  • Haemostatic (protein C activity, antithrombin III, PAI-1), haemorheologic (blood fluidity, erythrocyte membrane fluidity), and inflammatory (elastase, leukocyte count) profiles were assessed at discharge.
  • Cox regression analysis was used to identify independent predictors of cardiovascular events.

Main Results:

  • Patients who experienced subsequent cardiovascular events had higher leukoactivity, leukocyte count, and membrane fluidity, but lower protein C activity and erythrocyte aggregation at discharge.
  • Lower protein C activity, higher erythrocyte membrane outer layer fluidity, and lower erythrocyte aggregation were identified as independent predictors of the composite endpoint.
  • These factors demonstrated significant predictive value in Cox regression analysis.

Conclusions:

  • Haemostatic, haemorheologic, and inflammatory disturbances at hospital discharge are significant long-term predictors of recurrent cardiovascular events in MI survivors.
  • These findings highlight the potential for using these biomarkers to stratify risk and guide therapeutic strategies.

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