ArticleFrontiers in medicine2026
A multimarker panel for predicting short-term outcome after intravenous thrombolysis in acute ischemic stroke: a retrospective study.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To evaluate the predictive efficacy of a multimarker panel combining the National Institutes of Health Stroke Scale (NIHSS) score immediately after intravenous thrombolysis (IVT) with the Systemic Immune-Inflammation Index (SII), baseline blood glucose (Glu), and plasma uric acid (UA) for short-term neurological prognosis in patients with acute ischemic stroke (AIS). Methods: This single-center retrospective cohort study enrolled 132 consecutive AIS patients who received IVT at Chengdu Second People's Hospital between January 2021 and December 2021. Clinical demographics, laboratory parameters, and NIHSS scores at admission (NIHSS1) and immediately after thrombolysis (NIHSS2) were collected. The modified Rankin Scale (mRS) at 90 days was used to classify patients into good prognosis (mRS 0-2) and poor prognosis (mRS 3-6) groups. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for poor prognosis. Receiver operating characteristic (ROC) curve analysis, calibration assessment, and decision curve analysis were conducted to evaluate and compare the predictive performance of individual and combined markers. Subgroup and sensitivity analyses were performed to validate model robustness. Results: Among the 132 enrolled patients, 55 (41.67%) had poor prognosis at 90 days. Multivariate logistic regression analysis identified NIHSS2 score (OR = 1.317, 95%CI: 1.092-1.588, Conclusion: The multimarker panel combining post-thrombolysis NIHSS score, SII, baseline Glu, and UA provides a simple, readily available, and highly effective approach for predicting short-term neurological prognosis in AIS patients after IVT. The combined assessment significantly improves predictive accuracy compared to individual markers alone, supporting its potential clinical utility for early risk stratification and individualized treatment decision-making. However, these findings require prospective multicenter validation before routine clinical implementation can be recommended.
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