To develop a multidimensional model for predicting futile reperfusion after endovascular thrombectomy in patients with acute ischemic stroke due to large vessel occlusion.
Key Findings:
Final model included NIHSS score, CTA-SI ASPECTS, time from onset to reperfusion, collateral circulation scores, CRP, glucose, WBC count, neutrophil count, and monocyte count.
Model demonstrated good discriminative ability with a pooled test AUC of 0.795 and a Brier score of 0.178.
At optimal threshold, the model achieved specificity of 0.822 and accuracy of 0.761.
Interpretation:
The model effectively integrates clinical, imaging, and laboratory markers to predict futile reperfusion, providing independent prognostic information for postprocedural outcomes.
Limitations:
Retrospective design may introduce selection bias.
Findings may not be generalizable beyond the study population.
Potential confounding factors not accounted for in the model.
Conclusion:
The study presents a robust prediction model for futile reperfusion in AIS patients post-EVT, enhancing individualized risk assessment and clinical decision-making.
