Myocardial infarction after acute ischaemic stroke: Incidence, mortality and risk factors

Tiberiu A Pana1, Adrian D Wood1, Mamas A Mamas2

  • 1Ageing Clinical and Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK.

Insights

This study identified risk factors for myocardial infarction (MI) after acute ischaemic stroke (AIS). Identifying these factors can help focus preventative efforts and improve outcomes for stroke survivors at risk of heart attack.

Area of Science:

  • Cardiovascular Medicine
  • Neurology
  • Epidemiology

Background:

  • Acute ischaemic stroke (AIS) survivors face an increased risk of myocardial infarction (MI).
  • Understanding the risk factor profiles associated with post-stroke MI is crucial for long-term patient management.

Purpose of the Study:

  • To determine the risk factor profiles associated with myocardial infarction (MI) following acute ischaemic stroke (AIS).
  • To examine the long-term incidence of MI and its impact on mortality in AIS patients.

Main Methods:

  • An observational study of 9840 prospectively identified AIS patients admitted to a UK center (2003-2016).
  • Logistic and Cox regression models were used to identify predictors of in-hospital and post-discharge MI.
  • MI incidence and the influence of post-stroke MI on mortality were analyzed using competing risk and Cox regression models.

Main Results:

  • In-hospital MI was associated with elevated blood glucose, total leucocyte count, and C-reactive protein (CRP).
  • Between discharge and 10 years post-stroke, incident MI was linked to age, coronary heart disease, chronic kidney disease, cancers, diabetes, congestive heart failure, hypertension, and peripheral vascular disease.
  • Cumulative MI incidence over 10 years was 5.4%, and MI during follow-up significantly increased the risk of death.

Conclusions:

  • Prognosis for patients experiencing myocardial infarction after acute ischaemic stroke is poor.
  • Identifying specific risk factor profiles can guide targeted preventative strategies to mitigate MI risk and improve survival in AIS patients.
Abstract

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