A Nomogram Prediction Model Based on Tissue Window for the Prognosis of Patients with Acute Ischemic Stroke Undergoing Thrombectomy.

IF 2 4区 医学 Q3 CLINICAL NEUROLOGY
Jie-Ji Zhao, Hui-Ru Chen, Jun-Yi Cui, Meng-Fan Ye, Tan Li, Xiu-Ying Cai, Lin-Qing Ma, Run-Ping Zhang, Yan Kong
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引用次数: 0

Abstract

Objective: Thrombectomy greatly improves the clinical prognosis of patients with acute ischemic stroke (AIS). The aim of this study is to develop a nomogram model that can predict the prognosis of patients with acute ischemic stroke undergoing thrombectomy.

Methods: We retrospectively collected information of patients with acute ischemic stroke who were admitted to the stroke Green Channel of the First Affiliated Hospital of Soochow University from September 2018 to May 2022. The main outcome was defined as a three-month unfavorable outcome (modified Rankin Scale 3-6). Based on the results of multivariate regression analysis, a nomogram was established. We tested the accuracy and discrimination of our nomogram by calculating the consistency index (C-index) and plotting the calibration curve.

Results: National Institutes of Health Stroke Scale (NIHSS) score (OR, 1.418; 95% CI, 1.177-1.707; P<0.001), low density lipoprotein cholesterol (LDL-C) (OR, 2.705; 95% CI, 1.203-6.080; P = 0.016), Alberta Stroke Program Early Computed Tomography Score (ASPECTS) (OR, 0.633; 95% CI, 0.421-0.952; P = 0.028), infarct core volume (OR, 1.115; 95% CI, 1.043-1.192; P = 0.001) and ischemic penumbra volume (OR, 1.028; 95% CI, 1.006-1.050; P = 0.012) were independent risk factors for poor clinical prognosis of AIS patients treated with thrombectomy. The C-index of our nomogram was 0.967 and the calibration plot revealed a generally fit in predicting three-month unfavorable outcomes. Based on this nomogram, we stratified the risk of thrombectomy population. We found that low-risk population is less than or equal to 65 points, and patients of more than 65 points tend to have a poor clinical prognosis.

Conclusion: The nomogram, composed of NIHSS, LDL-C, ASPECTS, infarct core volume and ischemic penumbra volume, may predict the clinical prognosis of cerebral infarction patients treated with thrombectomy.

基于组织窗的急性缺血性脑卒中取栓预后Nomogram预测模型。
目的:取栓可显著改善急性缺血性脑卒中(AIS)患者的临床预后。本研究的目的是建立一种能预测急性缺血性脑卒中取栓患者预后的nomogram模型。方法:回顾性收集2018年9月至2022年5月苏州大学第一附属医院脑卒中绿色通道收治的急性缺血性脑卒中患者资料。主要转归定义为三个月的不良转归(修正Rankin量表3-6)。在多元回归分析结果的基础上,建立了模态图。我们通过计算一致性指数(c指数)和绘制校准曲线来检验我们的nomogram的准确性和辨别性。结果:美国国立卫生研究院卒中量表(NIHSS)评分(OR, 1.418;95% ci, 1.177-1.707;P<0.001),低密度脂蛋白胆固醇(LDL-C) (OR, 2.705;95% ci, 1.203-6.080;P = 0.016), Alberta卒中Program早期计算机断层扫描评分(ASPECTS) (OR, 0.633;95% ci, 0.421-0.952;P = 0.028),梗死核心体积(OR, 1.115;95% ci, 1.043-1.192;P = 0.001)和缺血半暗区体积(OR, 1.028;95% ci, 1.006-1.050;P = 0.012)是AIS患者行取栓治疗后临床预后不良的独立危险因素。我们的nomogram C-index为0.967,校正图显示在预测3个月的不利结果方面总体上是拟合的。基于此图,我们对取栓人群的风险进行了分层。我们发现低危人群小于或等于65分,大于65分的患者往往临床预后较差。结论:由NIHSS、LDL-C、ASPECTS、梗死核心体积、缺血半暗区体积组成的nomogram,可以预测脑梗死患者取栓后的临床预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current neurovascular research
Current neurovascular research 医学-临床神经学
CiteScore
3.80
自引率
9.50%
发文量
54
审稿时长
3 months
期刊介绍: Current Neurovascular Research provides a cross platform for the publication of scientifically rigorous research that addresses disease mechanisms of both neuronal and vascular origins in neuroscience. The journal serves as an international forum publishing novel and original work as well as timely neuroscience research articles, full-length/mini reviews in the disciplines of cell developmental disorders, plasticity, and degeneration that bridges the gap between basic science research and clinical discovery. Current Neurovascular Research emphasizes the elucidation of disease mechanisms, both cellular and molecular, which can impact the development of unique therapeutic strategies for neuronal and vascular disorders.
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