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A Nomogram Based on Ocular Hemodynamics for Predicting Ischemic Stroke

Zhuo-Hua Zhou1, Xue-Ru Cheng1, Jia-Xin Guan1

  • 1From the Department of Ophthalmology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

American Journal of Ophthalmology
|March 3, 2025
PubMed

Insights

This study developed a nomogram using ocular hemodynamics to predict ischemic stroke risk. The model, incorporating ophthalmic artery resistance, shows promise for early diagnosis and intervention.

Area of Science:

  • Ophthalmology
  • Neurology
  • Medical Imaging

Background:

  • Ischemic stroke is a leading cause of death and disability.
  • Ocular vascular characteristics can serve as indicators for cerebrovascular diseases due to physiological similarities.

Purpose of the Study:

  • To develop a nomogram prediction model for ischemic stroke risk.
  • To utilize ocular hemodynamic characteristics for stroke prediction.

Main Methods:

  • Retrospective cohort study of 337 patients.
  • Ultrasound assessment of ophthalmic, central retinal, and posterior ciliary artery hemodynamics.
  • Nomogram construction using logistic regression and validation with ROC, Hosmer-Lemeshow, and DCA.

Main Results:

  • Hypertension, hyperlipidemia, and ophthalmic artery resistance index were identified as independent risk factors.
  • The nomogram demonstrated good predictive performance with AUCs of 0.790 (training) and 0.773 (validation).
  • The model showed clinical utility and benefit according to DCA.

Conclusions:

  • A nomogram combining traditional risk factors and ocular hemodynamics, specifically the ophthalmic artery resistance index, effectively predicts ischemic stroke.
  • This ocular hemodynamic-based model can enhance early diagnosis and intervention strategies for ischemic stroke.
Abstract

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