Additional prognostic value of stress cardiovascular magnetic resonance for cardiovascular risk stratification after

Solenn Toupin1, Théo Pezel2,3, Francesca Sanguineti2

  • 1Siemens Healthcare France, Saint-Denis, France.

Insights

Stress cardiovascular magnetic resonance (CMR) effectively predicts major adverse cardiovascular events (MACE) in cryptogenic stroke survivors. This imaging technique offers significant prognostic value beyond traditional risk factors, aiding in better risk stratification.

Area of Science:

  • Cardiology
  • Neurology
  • Medical Imaging

Background:

  • Cryptogenic stroke accounts for one-third of ischemic strokes, with unclear causes.
  • Coronary artery disease (CAD) is a leading cause of death post-stroke, yet its screening in cryptogenic stroke patients remains debated.

Purpose of the Study:

  • To evaluate the added prognostic capability of stress cardiovascular magnetic resonance (CMR) in predicting cardiovascular events.
  • To assess if stress CMR improves risk prediction beyond established factors in patients with prior cryptogenic ischemic stroke.

Main Methods:

  • A cohort of 542 patients with prior cryptogenic strokes underwent stress CMR between 2008 and 2021.
  • Major adverse cardiovascular events (MACE), including cardiovascular death and myocardial infarction (MI), were tracked.
  • Univariable and multivariable Cox regression analyses identified predictors of MACE, focusing on silent ischemia and unrecognized MI.

Main Results:

  • Over a median follow-up of 5.9 years, 12.2% of patients experienced MACE.
  • Silent ischemia (18%) and unrecognized MI (17%) were significantly associated with MACE (HR > 7.8, p < 0.001).
  • Stress CMR findings significantly improved model discrimination and reclassification of MACE risk (C-statistic improvement: 0.13).

Conclusions:

  • Stress CMR provides incremental prognostic value for predicting MACE in patients with prior cryptogenic stroke.
  • Incorporating stress CMR findings enhances cardiovascular risk assessment beyond traditional factors.
Abstract

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