• Yuan Shen, Gang Xu, Haicun Shi, ShuFang Wang, Li Zhou, JianGuo Zhong, MingZhu Chen, ZhiPeng Chen, and Zhifeng Dong.
• World Neurosurg. 2024 Nov 22.

ObjectiveTo construct a universally applicable nomogram using computed tomography perfusion (CTP) parameters based on Rapid processing of PerfusIon and Diffusion (RAPID) software for evaluating the prognosis of acute anterior circulation large vessel occlusion (LVO) treated by endovascular therapy.MethodsA total of 130 patients were divided into two groups: a group with a good prognosis [Rankin Rating Scale (mRS) score ≤ 2 points] and a group with a poor prognosis (mRS score >2 points). The least absolute shrinkage and selection operator (LASSO) logistic regression method was used to screen the predictive factors, and a nomogram chart prediction model was established.ResultsThere were 52 patients in the good prognosis group and 78 patients in the poor prognosis group. Logistic regression analysis showed that age, baseline National Institute of Health Stroke Scale score, and volumes of cerebral blood flow (VCBF)<30% were independent influencing factors for the prognosis of patients [OR=1.065, 95% CI: 1.007-1.126; OR=1.097, 95% CI: 1.008-1.193; OR=1.107, 95% CI: 1.024-1.197; P all<0.05]. Our nomogram model showed good discrimination and calibration. The ROC curve analysis showed that the area under the curve of the prediction model was 0.809 (95% CI: 0.733-0.885, P<0.001), and the calibration curve was close to the ideal curve.ConclusionOur nomogram can be used as a simple and reasonable tool to predict the prognosis of acute anterior circulation LVO treated by endovascular therapy. The CTP parameter VCBF<30% obtained by RAPID software was an important predictive factor in this model.Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

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