Diagnostic Ability of Risk Models in the Field of Ischemic Stroke for Predicting Atherosclerotic Outcomes in Patients

Hiroki Goto1, Yuichi Saito1, Hiroaki Yaginuma1

  • 1Department of Cardiovascular Medicine, Chiba University Hospital.

Insights

Stroke risk scores effectively predict major adverse cardiovascular events (MACE) in acute myocardial infarction (MI) patients. These models, including the Fukuoka Stroke Risk Score and Essen Stroke Risk Score, demonstrate clinical applicability for risk stratification.

Area of Science:

  • Cardiology
  • Neurology
  • Preventive Medicine

Background:

  • Myocardial infarction (MI) and ischemic stroke share common atherosclerotic pathology.
  • Existing stroke risk-scoring models (Fukuoka, Essen, SPI-II) may predict cardiovascular events post-MI.

Purpose of the Study:

  • To evaluate the diagnostic ability and clinical applicability of stroke risk scores for predicting atherosclerotic events after acute MI.
  • To assess the utility of cerebrovascular risk models in acute myocardial infarction patients.

Main Methods:

  • A multicenter retrospective study of 2016 acute MI patients who underwent percutaneous coronary intervention.
  • Calculation of Fukuoka Stroke Risk Score, Essen Stroke Risk Score, and Stroke Prognosis Instrument II.
  • Evaluation of diagnostic ability for major adverse cardiovascular events (MACE) including cardiovascular death, recurrent MI, and ischemic stroke.

Main Results:

  • During a median follow-up of 523 days, 10.8% of patients experienced MACE.
  • Higher scores on all three stroke risk models were progressively associated with increased MACE risk.
  • The diagnostic abilities of the Fukuoka Stroke Risk Score, Essen Stroke Risk Score, and Stroke Prognosis Instrument II were similar.

Conclusions:

  • Stroke risk prediction models are useful for stratifying MACE risk in acute MI patients.
  • These models demonstrate applicability across different arterial territories for atherosclerotic cardiovascular disease risk stratification.
Abstract

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