Cardiorenal Biomarkers and Cerebrovascular Risk in Patients with Congenital Heart Disease

Efrén Martínez-Quintana1,2, Fayna Rodríguez-González2,3

  • 1Cardiology Service, Complejo Hospitalario Universitario Insular-Materno Infantil, Avd. Marítima del Sur s/n, 35016 Las Palmas de Gran Canaria, Spain.

Insights

Adults with congenital heart disease (CHD) face higher ischemic stroke risk. Traditional risk factors and elevated N-terminal pro B-type natriuretic peptide (NT-pro-BNP) predict stroke, not disease complexity.

Area of Science:

  • Cardiology
  • Neurology
  • Biomarkers

Background:

  • Adults with congenital heart disease (CHD) have a significantly increased risk of ischemic stroke compared to the general population.
  • The predictive value of circulating biomarkers like NT-pro-BNP, hs-CRP, and microalbuminuria for cerebrovascular events in CHD is not well-established.

Purpose of the Study:

  • To investigate the association between circulating biomarkers and incident ischemic stroke in adults with CHD.
  • To identify predictors of ischemic stroke in this high-risk population.

Main Methods:

  • Prospective cohort study of 372 adults with CHD followed for a median of 6.3 years.
  • Baseline assessment included demographic data, CHD complexity, cardiovascular risk factors, NT-pro-BNP, hs-CRP, and urinary albumin excretion.
  • Univariable Cox proportional hazards models were used to analyze stroke predictors.

Main Results:

  • 13 patients (3.5%) experienced ischemic stroke during follow-up.
  • Older age, dyslipidemia, arterial hypertension, diabetes mellitus, and higher NT-pro-BNP levels were associated with increased stroke risk.
  • CHD anatomical complexity and functional status were not significant predictors.

Conclusions:

  • Ischemic stroke in adults with CHD is primarily linked to traditional cardiovascular risk factors and elevated NT-pro-BNP.
  • Biomarker NT-pro-BNP shows predictive value for ischemic stroke in adults with CHD.
  • Disease complexity and functional status appear less critical in predicting stroke risk in this cohort.

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