Carotid Pericarotid Fat Density: A New Predictor of Recurrent Ischemic Stroke or Transient Ischemic Attack.

Abstract

Aim: This study assessed the predictive value of pericarotid fat density (PFD) on carotid computed tomography angiography (CTA) for recurrent ischemic stroke or transient ischemic attack (TIA).

Methods: In total, 739 patients who underwent CTA between January 2014 and December 2021 were retrospectively included in this study. The PFD was evaluated using carotid CTA. The clinical endpoint was recurrent ischemic stroke or transient ischemic attack (TIA). The association between PFD and the endpoint was examined using Kaplan-Meier and Cox analyses. The combination model was established using significant clinical imaging risk factors and PFD. The predictive performance of the model was assessed using the receiver operating characteristic curve (ROC).

Results: A total of 739 patients (mean age: 64.28±9.44 years old, 496 males) completed a median of 3.31 years of follow-up (interquartile range, 2.11-4.05). During the follow-up period, 166 patients reached the clinical end point. The event-free survival (EFS) rate was lower in the high-PFD group than in the low-PFD group (log-rank P＜0.001). Multivariate Cox analyses showed that the PFD was associated with recurrent stroke or TIA (all P＜0.05). The combination model demonstrated excellent performance in predicting the clinical endpoint (area under the curve = 0.89). In addition, the endpoint event prognostic value was significantly improved by adding the PFD to the baseline model (C-statistic improvement: 0.61-0.84).

Conclusion: CTA-assessed PFD is an independent predictor of recurrent stroke or TIA.