Why the study?
To evaluate the predictive value of combining carotid artery contrast-enhanced ultrasound with the triglyceride glucose index and LDL/HDL ratio in patients with ischemic stroke.
Does the combination of carotid artery CEUS classification, TyG index, and LDL/HDL ratio improve the prediction of ischemic stroke in patients with carotid plaques?
Does the combination of carotid artery CEUS classification, TyG index, and LDL/HDL ratio improve the prediction of ischemic stroke in patients with carotid plaques?
The combination of carotid artery CEUS classification, TyG index, and LDL/HDL ratio significantly improves the predictive accuracy for ischemic stroke in patients with carotid plaques compared to any single indicator alone.
Supports enhanced ischemic stroke prediction in carotid plaque patients; hypothesis-generating and requires prospective validation before clinical adoption.
Objective To assess the predictive significance of carotid artery contrast-enhanced ultrasound (CEUS) combined with the triglyceride glucose index (TyG index) and low-density lipoprotein (LDL) to high-density Lipoprotein (HDL) ratio in patients with ischemic stroke (IS). Methods This study included 130 patients admitted to the hospital from June 2021 to June 2023. All patients underwent carotid artery CEUS and were divided into two groups: the ischemic stroke group (IS, n = 73) and the non-ischemic stroke group (NIS, n = 57). Baseline characteristics of both groups were analyzed and compared to identify differences. Logistic regression analysis was performed to determine independent risk factors for IS. Receiver operating characteristic (ROC) curves were constructed to assess the predictive performance of CEUS classification, TyG index, LDL/HDL ratio, and their combination. Results Among the 130 patients, the IS group consisted of 73 individuals (53 males, 20 females), with an average age of 64.87 ± 10.55 years, while the NIS group included 57 patients (20 males, 37 females) with an average age of 63.12 ± 10.26 years. The IS group exhibited significantly higher CEUS classification, TyG index, and LDL/HDL ratio compared to the NIS group. Logistic regression analysis identified CEUS classification ( OR 3.521, 95% CI 1.731–7.161, p = 0.001), TyG index ( OR 3.851, 95% CI 1.129–13.142, p = 0.031), and LDL/HDL ratio ( OR 2.957, 95% CI 1.321–6.622, p = 0.008) as independent risk factors for IS. The areas under the ROC Curve (AUC) for predicting IS were 0.871 for CEUS classification, 0.766 for TyG index, and 0.735 for LDL/HDL ratio. The combined application of these indicators yielded an AUC of 0.910, which was significantly higher than that of any single indicator. Conclusion CEUS classification, TyG index, and LDL/HDL ratio are useful predictors of IS. Their combined use significantly enhances predictive accuracy.
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Song et al. (2025) studied this question.
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