Identification of specific risk factors and predictive analytics for cardio-cerebral arterial stenosis: a comparative

Gege Zhang1, Sijie Dong1, Fanfan Feng2

  • 1Xuzhou Medical University, Xuzhou, Jiangsu, China.

BMC Neurology
|February 5, 2025
PubMed

Insights

Ischemic stroke patients frequently have both intracranial and coronary artery stenosis. A predictive model identified key risk factors like hyperlipidemia and hypertension for dual stenosis, aiding personalized medicine.

Area of Science:

  • Cardiovascular Medicine
  • Neurology
  • Radiology

Background:

  • Atherosclerotic diseases are systemic, often affecting multiple arterial beds.
  • Ischemic stroke patients frequently exhibit concurrent intracranial artery stenosis (ICAS) and coronary artery stenosis (COAS).

Purpose of the Study:

  • To determine the prevalence of ICAS and COAS in ischemic stroke patients across varying atherosclerosis risk strata.
  • To develop a predictive model for assessing atherosclerosis risk in this population.

Main Methods:

  • Retrospective analysis of 5,816 ischemic stroke patients (December 2020-December 2021).
  • Computed tomography angiography (CTA) used to assess stenosis (>50%).
  • Patients stratified by Framingham risk scale (low, moderate, high).

Main Results:

  • Dual ICAS and COAS occurred in 38.8% of patients.
  • Single ICAS in 6.8%, single COAS in 54.3%.
  • Moderate- and high-risk groups showed lower risks of single stenosis.
  • Key risk factors for dual stenosis: hyperlipidemia, smoking, hypertension, diabetes.
  • Predictive model achieved 73.61% accuracy and 0.8562 AUC for dual stenosis.

Conclusions:

  • Significant differences in risk factors and demographics exist among risk groups.
  • A validated predictive model aids in identifying patients at high risk for dual arterial stenosis.
  • Findings underscore the need for personalized medicine in managing atherosclerosis in stroke patients.