Retrospective analysis shows poor prognosis risk in acute ischemic stroke patients based on insulin resistance metrics, suggesting clinical implications for treatment outcomes.
The aim of this study is to investigate the correlation between the triglyceride-glucose (TyG) index, a surrogate index of insulin resistance (IR), and the clinical prognosis of patients with acute ischemic stroke (AIS) treated with mechanical thrombectomy (MT). This retrospective study analyzed clinical data of 284 AIS patients who underwent MT. Patients were divided into a good prognosis group Modified Rankin Scale ([MRS] score ≤ 2) and a poor prognosis group ([MRS] score > 2) based on their outcomes 90 days post-MT. Differences in clinical parameters between groups were evaluated, and multifactorial logistic regression analysis identified risk factors associated with poor prognosis. Receiver operating characteristic (ROC) curve analysis assessed the predictive value of the TyG index and the combined variable (P) for poor prognosis at 90 days post-MT. The TyG index was identified as an independent risk factor for poor prognosis in AIS patients undergoing MT. In the total AIS population, the area under the ROC curve (AUC) for the TyG index and the combined variable (P) predicting poor prognosis were 0.5618 and 0.7870, respectively. In the non-diabetic subgroup, the AUCs were 0.5517 and 0.8143, respectively. The TyG index is a risk factor for poor prognosis in AIS patients undergoing MT, applicable to both the total population and the non-diabetic subgroup. The combined variable (P) , with improved predictive accuracy, can aid clinicians in early prognostic assessments of AIS patients treated with MT.
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Fan et al. (2025) studied this question.
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