Clinical Predictors of Hyperperfusion Syndrome Following Carotid Stenting: Results From a National Prospective

Alejandro González García1, Francisco Moniche2, Irene Escudero-Martínez2

  • 1Interventional Neuroradiology, Department of Radiology, Hospital Virgen del Rocío, Sevilla, Spain; Neurovascular Research Laboratory, Instituto de Biomedicina de Sevilla-IBiS, Sevilla, Spain.

Insights

Cerebral hyperperfusion syndrome (CHS) occurred in 2.9% of patients after carotid artery stenting (CAS). Female sex, older age, and left artery treatment predict moderate-severe CHS risk.

Area of Science:

  • Neurology
  • Vascular Surgery
  • Clinical Research

Background:

  • Cerebral hyperperfusion syndrome (CHS) is a serious complication following carotid artery stenting (CAS).
  • Previous estimates of CHS clinical manifestations are uncertain, often based on retrospective reviews.
  • The HISPANIAS study aimed to prospectively define CHS rates and identify predictive factors.

Purpose of the Study:

  • To determine the incidence of cerebral hyperperfusion syndrome (CHS) after carotid artery stenting (CAS).
  • To develop a clinical predictive model for CHS following CAS.
  • To identify pre-operative predictors of moderate-severe CHS.

Main Methods:

  • A prospective, national, multicenter study involving 14 hospitals.
  • Inclusion of 757 carotid artery stenting (CAS) procedures.
  • Classification of CHS as mild (headache) or moderate-severe (seizure, altered consciousness, focal neurological signs).

Main Results:

  • The overall incidence of CHS was 2.9% (22/757 patients), with 2.1% (16/757) classified as moderate-severe.
  • Hemorrhage occurred in 0.7% of patients, associated with a 20% mortality rate.
  • Predictors of moderate-severe CHS included female sex, older age, left carotid artery treatment, and chronic renal failure (p < 0.05 for all).

Conclusions:

  • The incidence of CHS post-CAS was 2.9%, with moderate-severe cases at 2.1%.
  • CHS is independently associated with female sex, advanced age, chronic kidney disease, and left carotid artery stenting.
  • A predictive model with an AUC of 0.86 was developed to identify high-risk patients, aiding in future risk-reduction strategies.
Abstract

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