A Dynamic Nomogram to Predict the 3-Month Unfavorable Outcome of Patients with Acute Ischemic Stroke

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成果类型：

期刊论文

作者：

Zhang, Cheng;Zhang, Wenli;Huang, Ying;Qiu, Jianxiang;Huang, Zhi-Xin

通讯作者：

Jianxiang Qiu<&wdkj&>Zhi-Xin Huang

作者机构：

[Zhang, Wenli; Qiu, Jianxiang; Zhang, Cheng; Huang, Zhi-Xin; Huang, Ying] Guangdong Second Prov Gen Hosp, Dept Neurol, 466 xingang Middle Rd, Guangzhou 510000, Guangdong, Peoples R China.

[Zhang, Wenli; Zhang, Cheng; Huang, Zhi-Xin; Huang, Ying] Southern Med Univ, Sch Clin Med 2, Guangzhou, Guangdong, Peoples R China.

[Qiu, Jianxiang] Guangdong Second Prov Gen Hosp, Med Res Ctr, 466 xingang Middle Rd, Guangzhou 510000, Guangdong, Peoples R China.

[Huang, Zhi-Xin] Jinan Univ, Fac Med Sci, Guangzhou, Guangdong, Peoples R China.

[Huang, Zhi-Xin] Univ South China, Hengyang, Hunan, Peoples R China.

通讯机构：

[Jianxiang Qiu] M

[Zhi-Xin Huang] D

Medical Research Center, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People’s Republic of China<&wdkj&>Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People’s Republic of China<&wdkj&>The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People’s Republic of China<&wdkj&>Jinan University Faculty of Medical Science, Guangzhou, Guangdong, People’s Republic of China<&wdkj&>University of South China, Hengyang, Hunan, People’s Republic of China

语种：

英文

关键词：

acute ischemic stroke;unfavorable outcome;dynamic nomogram;predictive model;LASSO regression

期刊：

Risk Management and Healthcare Policy

ISSN：

1179-1594

年：

2022

卷：

页码：

923-934

DOI：

10.2147/RMHP.S361073

基金类别：

Medical Scientific Research Foundation of Guangdong Province of China [B2019068]; Doctoral Workstation foundation of Guangdong Second Provincial General Hospital [2020BSGZ035]

机构署名：

本校为其他机构

摘要：

Purpose: Despite receiving standard-of-care treatments, a significant proportion of patients with acute ischemic stroke (AIS) are left with long-term functional impairment. Therefore, an easy-to-use tool for predicting of unfavorable outcome following AIS plays an important role in clinical practice. This study was aimed to develop a dynamic nomogram to predict the 3-month unfavorable outcome for AIS patients. Methods: This was a prospective observational study conducted in consecutive patients with AIS admitted to our stroke center between Sep...

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A Dynamic Nomogram to Predict the 3-Month Unfavorable Outcome of Patients with Acute Ischemic Stroke

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