文献类型：期刊文献

英文题名：Nomogram to Predict the Number of Thrombectomy Device Passes for Acute Ischemic Stroke with Endovascular Thrombectomy

作者：Yang, Shijie[1];Zhao, Kaixuan[2];Xi, Huan[1];Xiao, Zaixing[1];Li, Wei[1];Zhang, Yichuan[2];Fan, Zhiqiang[1];Li, Changqing[3,4];Chai, Erqing[3,4]

第一作者：Yang, Shijie

通信作者：Chai, EQ[1]

机构：[1]Gansu Univ Chinese Med, Gansu Prov Hosp, Clin Med Coll 1, Lanzhou, Gansu, Peoples R China;[2]Ningxia Med Univ, Clin Med Coll, Yinchuan, Ningxia, Peoples R China;[3]Gansu Prov Hosp, Cerebrovasc Dis Ctr, 204 West Donggang Rd, Lanzhou 730000, Gansu, Peoples R China;[4]Gansu Prov Hosp, Key Lab Cerebrovasc Dis Gansu Prov, Lanzhou, Gansu, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Gansu Prov Hosp, Cerebrovasc Dis Ctr, 204 West Donggang Rd, Lanzhou 730000, Gansu, Peoples R China.

年份：2021

卷号：14

起止页码：4439

外文期刊名：RISK MANAGEMENT AND HEALTHCARE POLICY

收录：;Scopus(收录号：2-s2.0-85118580105);WOS:【SSCI(收录号:WOS:000714646800001)，SCI-EXPANDED(收录号:WOS:000714646800001)】；

基金：This work was supported by the Lanzhou Talent Innovation and Entrepreneurship Project, China (2017-RC-57). The funders had no role in the study design, data collection, analysis, decision to publish, or prepara-tion of the manuscript.

语种：英文

外文关键词：acute ischemic stroke; endovascular thrombectomy; stentriever; nomogram

摘要：Purpose: This study aimed to determine the risk factors associated with the number of thrombectomy device passes and establish a nomogram for predicting the number of device pass attempts in patients with successful endovascular thrombectomy (EVT). Methods: We enrolled patients from a signal comprehensive stroke center (CSC) who underwent EVT because of large vessel occlusion stroke. Multivariate logistic regression analysis was used to develop the best-fit nomogram for predicting the number of thrombectomy device passes. The discrimination and calibration of the nomogram were estimated using the area under the receiver operating characteristic curve (AUC-ROC) and a calibration plot with a bootstrap of 1000 resamples. A decision curve analysis (DCA) was used to measure the availability and effect of this predictive tool. Results: In total, 130 patients (mean age 64.9 +/- 11.1 years; 83 males) were included in the final analysis. Age (odds ratio [OR], 1.085; 95% confidence interval [CI], 1.005-1.172; p = 0.036), baseline Alberta Stroke Program Early computed tomography (ASPECTS) score (OR, 0.237; 95% CI, 0.115-0.486; p 0.001), and homocysteine level (OR, 1.090; 95% CI, 1.028-1.155; p = 0.004) were independent predictors of device pass number and were thus incorporated into the nomogram. The AUC-ROC determined the discrimination ability of the nomogram, which was 0.921 (95% CI, 0.860-0.980), which indicated good predictive power. Moreover, the calibration plot revealed good predictive accuracy of the nomogram. The DCA demonstrated that when the threshold probabilities of the cohort ranged between 5.0% and 98.0%, the use of the nomogram to predict a device pass number 3 provided greater net benefit than did "treat all" or "treat none" strategies. Conclusion: The nomogram comprised age, baseline ASPECTS score, and homocysteine level, can predict a device pass number >3 in acute ischemic stroke (AIS) patients who are undergoing EVT.