Predictive value of modified Thrive-c model in the prognosis of AIS patients after reperfusion therapy

Abstract

Purpose To explore the predictive value of combining the TyG index with the THRIVE score at admission for AIS patients following reperfusion therapy. Methods This retrospective study enrolled 284 AIS patients who had undergone reperfusion therapy. Patients were classified into good or poor prognosis groups based on their modified Rankin Scale (mRS) scores. We analyzed the relationship between the TyG index, the THRIVE score at admission, and the prognosis of AIS. We applied Spearman correlation analysis to investigate the correlation between the TyG index and the THRIVE score at admission against the 90-day mRS scores of AIS patients post-reperfusion. The study developed a logistic regression analysis model to establish a combined predictive formula. ROC curves were constructed to evaluate the predictive power of the TyG index, the admission THRIVE score, their combined use, the THRIVE-c model, and the modified THRIVE-c model for AIS prognosis. Results There were significant differences observed between the groups with poor and good prognoses regarding diabetes, hypertension, atrial fibrillation, gender, NIHSS score at admission, admission THRIVE score, TyG index, triglycerides, and fasting blood glucose. Logistic regression analysis determined that both the TyG index and THRIVE score at admission serve as independent risk factors for poor 90-day prognosis in ischemic stroke patients. The combined predictive coefficient, the THRIVE-c model, and the modified THRIVE-c model yielded AUCs of 0.784, 0.81, and 0.847, respectively, indicating their reliable predictive efficacy. Conclusion Both the TyG index and the THRIVE score assessed at admission are significant independent predictors of adverse outcomes in AIS patients post-reperfusion therapy. The integration of these metrics, along with the THRIVE-c and modified THRIVE-c models, enhances the accuracy of prognosis prediction for AIS patients.