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1. Lipid management in ischaemic stroke or transient ischaemic attack in China: result from China National Stroke Registry III

Author

Xu Zhang, Yongjun Wang, Kangning Chen, Lianbo Gao, Ye Tian, Xu Chen, Yi Guo, Benyan Luo, Yan Wang, Jian Wu, Xiaohong Li, Yong-Jun Wang, Qiang Dong, Huisheng Chen, Wei Wang, Zhengqi Lu, Lijie Ren, Runqing Wang, Juan Feng, Zhangyong Xia, Hao Li, Lihua Wang, Qingwei Zhao, Hong Wang, Ting Wang, Jin Zhou, Xia Meng, Jun Wu, Qing Li, Shizheng Wu, Ping Zhang, Li-Ping Liu, Yue-song Pan, Yi-long Wang, Ming Yu, Guohua Chen, Zhimin Wang, Jianhua Li, Yi Wang, Yi Yang, Xinsheng Han, Songdi Wu, Yongming Chen, Liang Zhao, Qiang Ma, Xiaoying Zhang, Mei Zhang, Limin Wang, Hui Liang, Liping Wang, Jun Zhou, Jie Lin, Yu Geng, Ning Wang, Yun Xu, Jinsheng Zeng, Huijuan Wang, Xueli Cai, Jia Yin, Jun Xu, Feng Qiu, Jun Zhao, Baojun Wang, Hainan Zhang, Zi-Xiao Li, Xing-Quan Zhao, Mingzhi Zhao, Yingchun Wu, Junling Zhang, Xuerong Qiu, Zhongping An, Wenjun Xue, Lili Zhao, Hongyan Li, Junfeng Shi, Tao Gong, Qi Fang, Liyan Liu, Jianfeng Wang, Guang Huang, Chun Wang, Yuwu Zhao, Lei Sheng, Lei Xia, Yan Fang, Xiaoxiang Peng, Yanling Wang, Yangmei Chen, Deqin Geng, Jinfeng Liu, Weirong Li, Yuqing Wei, Yu-Yuan Xu, Jilai Li, Maolin He, Quping Ouyang, Fengchun Yu, Chenlong Wang, Jinli Zhang, Wenqing Wu, Yaoyu Yu, Meiyun Zhang, Junyan Liu, Wanying Shi, Baoquan Lu, Lijun Geng, Shujuan Wang, Ruifang Liu, Fengli Zhao, Xinping Liu, Xuebing Sun, Tianyuan Li, Youming Wang, Xinxia He, Weiqiang Yuan, Ronghua Dou, Lihai Liu, Haisong Du, Cunrui Wang, Xiaofei Chen, Fengyun Hu, Fanping He, Xingchen Wang, Hongjin Li, Mingzong Yan, Guiru Zhang, Yunlin Liu, Yuhui Han, Xianghong Meng, Hongtian Zhang, Congmin Ma, Gexia Liu, Wenxu Zheng, Haitao Chi, Hongbo Xiao, Lijun Xiao, Guozhong Li, Yulan Zhu, Yindong Yang, Xuhai Gong, Qunhui Liu, Shiping Gong, Hongbin Zhou, Haipeng Li, Yong You, Jinsheng Lin, Heqing Zhao, Aixia Zhuang, Kaifu Ke, Zhengxie Dong, Guiyun Cui, Liangqun Rong, Yi Wu, Weiguo Tang, Yanjiang Wang, Wenguang Bu, Xiaohua Cheng, Jifu Cai, Lvli Li, Jianping Niu, Liping Zhan, Runxiu Zhu, Yanhui Du, Yongxia Wen, Yongcai Qu, Yuncheng Wu, Jianren Liu, Qingke Bai, Chaoming He, Weiwen Qiu, Shufang Yao, Xuwen Sun, Ligong Gao, Xianglin Chen, Qiuyan Shi, Zhaochen Li, Tianbao Chen, SuYun Yang, Yazhou Han, Xinxiao Wu, Beihai Jiang, Lizhong Li, Weidong Lou, Weiming Lan, Aihu Zheng, Qifu Bai, Lifang Luan, Liqing Yan, Yanxia Wang, Xuerong Huang, Xiangting Chai, Yanshu Liu, Liangjun You, Hongqin Yang, Dongfang Li, Linying Gui, Aisheng Wu, Dengling Wang, Qinghua Zhang, Yunhong He, Ruiyou Guo, Jijun Teng, Ping Lou, Wei-Qi Chen, Meng-Xing Wang, Yu’an Zou, An’ding Xu, Yinzhou Wang Li Pan, Li’e Wu, Yanru Zhao Li Liu, and Xiaoqian Shen

Subjects
Medicine
Abstract

Objectives The aims of the study were to assess the management of low-density lipoprotein cholesterol (LDL-C) and the goal achievement, as well as to investigate the association between baseline LDL-C level, lipid-lowering treatment (LLT), and stroke recurrence in patients with ischaemic stroke or transient ischaemic attack (TIA).Design Our study was a post hoc analysis of the Third China National Stroke Registry (CNSR-III).Setting We derived data from the CNSR-III - a nationwide clinical registry of ischaemic stroke and TIA based on 201 participating hospitals in mainland China.Participants 15,166 patients were included in this study with demographic characteristics, etiology, imaging, and biological markers from August 2015 to March 2018.Primary and secondary outcome measures The primary outcome was a new stroke, LDL-C goal (LDL-C

Published
2023
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2. Prognosis and antiplatelet therapy of small single subcortical infarcts in penetrating artery territory: a post hoc analysis of the Third China National Stroke Registry

Author

Xu Zhang, Yongjun Wang, Kangning Chen, Lianbo Gao, Ye Tian, Xu Chen, Yi Guo, Benyan Luo, Yan Wang, Jian Wu, Xiaohong Li, An-Xin Wang, Yong-Jun Wang, Qiang Dong, Huisheng Chen, Wei Wang, Zhengqi Lu, Jing Jing, Lijie Ren, Runqing Wang, Juan Feng, Zhangyong Xia, Hao Li, Lihua Wang, Qingwei Zhao, Hong Wang, Ting Wang, Jin Zhou, Xia Meng, Jun Wu, Qing Li, Shizheng Wu, Ping Zhang, Li-Ping Liu, Yi-long Wang, Ming Yu, Guohua Chen, Zhimin Wang, Jianhua Li, Yi Wang, Yi Yang, Xinsheng Han, Songdi Wu, Yongming Chen, Liang Zhao, Qiang Ma, Xiaoying Zhang, Mei Zhang, Limin Wang, Hui Liang, Liping Wang, Jun Zhou, Jie Lin, Yu Geng, Ning Wang, Yun Xu, Jinsheng Zeng, Huijuan Wang, Xueli Cai, Jia Yin, Jun Xu, Feng Qiu, Jun Zhao, Baojun Wang, Hainan Zhang, Zi-Xiao Li, Xing-Quan Zhao, Mingzhi Zhao, Yingchun Wu, Junling Zhang, Xuerong Qiu, Zhongping An, Wenjun Xue, Lili Zhao, Hongyan Li, Junfeng Shi, Mingzhen Li, Tao Gong, Qi Fang, Liyan Liu, Jianfeng Wang, Guang Huang, Chun Wang, Yuwu Zhao, Lei Sheng, Lei Xia, Yan Fang, Xiaoxiang Peng, Yanling Wang, Yangmei Chen, Deqin Geng, Jinfeng Liu, Weirong Li, Yuqing Wei, Yu-Yuan Xu, Yi-Jun Zhang, Jilai Li, Maolin He, Quping Ouyang, Fengchun Yu, Chenlong Wang, Jinli Zhang, Wenqing Wu, Yaoyu Yu, Meiyun Zhang, Junyan Liu, Wanying Shi, Baoquan Lu, Lijun Geng, Shujuan Wang, Ruifang Liu, Fengli Zhao, Xinping Liu, Xuebing Sun, Tianyuan Li, Youming Wang, Xinxia He, Weiqiang Yuan, Ronghua Dou, Lihai Liu, Haisong Du, Cunrui Wang, Yu'an Zou, Xiaofei Chen, Fengyun Hu, Fanping He, Xingchen Wang, Hongjin Li, Mingzong Yan, Guiru Zhang, Yunlin Liu, Yuhui Han, Xianghong Meng, Hongtian Zhang, Congmin Ma, Gexia Liu, Wenxu Zheng, Haitao Chi, Hongbo Xiao, Lijun Xiao, Guozhong Li, Yulan Zhu, Yindong Yang, Xuhai Gong, Qunhui Liu, Shiping Gong, Hongbin Zhou, Haipeng Li, Yong You, Jinsheng Lin, Heqing Zhao, Aixia Zhuang, Kaifu Ke, Zhengxie Dong, Guiyun Cui, Liangqun Rong, Yi Wu, Weiguo Tang, Yanjiang Wang, Wenguang Bu, Xiaohua Cheng, An'ding Xu, Jifu Cai, Lvli Li, Li Pan; Yinzhou Wang, Jianping Niu, Liping Zhan, Li'e Wu, Li Liu; Yanru Zhao, Runxiu Zhu, Yanhui Du, Yongxia Wen, Yongcai Qu, Yuncheng Wu, Jianren Liu, Qingke Bai, Chaoming He, Weiwen Qiu, Shufang Yao, Xuwen Sun, Ligong Gao, Xianglin Chen, Qiuyan Shi, Zhaochen Li, Tianbao Chen, SuYun Yang, Yazhou Han, Xinxiao Wu, Beihai Jiang, Lizhong Li, Weidong Lou, Weiming Lan, Aihu Zheng, Qifu Bai, Lifang Luan, Liqing Yan, Yanxia Wang, Xuerong Huang, Xiangting Chai, Yanshu Liu, Liangjun You, Hongqin Yang, Dongfang Li, Linying Gui, Aisheng Wu, Jianling Zhang, Dengling Wang, Qinghua Zhang, Yunhong He, Ruiyou Guo, Jijun Teng, and Ping Lou

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Background Small single subcortical infarction (SSSI) may be classified as parent artery disease-related or only branch involved according to the stenosis of parent artery. The study aimed to evaluate short-term and long-term prognoses and the effectiveness of antiplatelet therapy in SSSI.Methods We prospectively enrolled 2890 patients with SSSI from the Third China National Stroke Registry (CNSR-III) database from August 2015 to March 2018. We assessed clinical outcomes and antiplatelet treatment effects in patients with SSSI with and without parent artery stenosis (PAS) identified by magnetic resonance angiography.Results Among 2890 patients with SSSI in the perforator territory of the middle cerebral artery and the basilar artery, there were 680 (23.53%) patients with PAS and 2210 (76.47%) patients without PAS, respectively. After adjusting for potential confounders, the PAS group had a greater initial stroke severity (OR 1.262, 95% CI 1.058 to 1.505; p=0.0097) and a higher risk of ischaemic stroke recurrence at 3 months (OR 2.266, 95% CI 1.631 to 3.149; p

Published
2022
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3. Efficacy and safety of dual antiplatelet therapy in the elderly for stroke prevention: a subgroup analysis of the CHANCE-2 trial

Author

Liping Liu, Yongjun Wang, Yilong Wang, Zixiao Li, Xingquan Zhao, Jing Jing, Philip M Bath, Hao Li, Xia Meng, Anxin Wang, Yong Jiang, Xinmiao Zhang, Jianhua Li, Jinxi Lin, S Claiborne Johnston, Xinsheng Han, Qin Xu, Weifeng Chen, Xuewei Xie, and Xuhai Gong

Subjects
Neurology. Diseases of the nervous system, RC346-429
Abstract

Objectives Evidence of the optimal antiplatelet therapy for elderly patients who had a stroke is limited, especially those elder than 80 years. This study aimed to explore the efficacy and safety of dual antiplatelet therapy (DAPT) in old-old patients compared with younger patients in the ticagrelor or Clopidogrel with aspirin in High-risk patients with Acute Non-disabling Cerebrovascular Events-II (CHANCE-2) trial.Methods CHANCE-2 was a randomised, double-blind, placebo-controlled trial in China involving patients with high-risk transient ischaemic attack or minor stroke with CYP2C19 loss-of-function alleles. In our substudy, all enrolled patients were stratified by age: old-old (≥80 years), young-old (65–80 years) and younger (

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4. Painless Gastrointestinal Endoscopy Assisted with Computed Tomography Image Information Data Monitoring in Postoperative Neurocognitive Dysfunction in Patients with Combined Anesthesia of Propofol and Butorphanol Tartrate under Electronic Health

Author

Yueguang Wei, Jianxun Liu, and Xuhai Gong

Subjects
Article Subject, General Immunology and Microbiology, Prostaglandins E, Applied Mathematics, General Medicine, Endoscopy, Gastrointestinal, General Biochemistry, Genetics and Molecular Biology, Butorphanol, Cerebrovascular Circulation, Modeling and Simulation, Humans, Anesthesia, Electronics, Tomography, X-Ray Computed, Propofol
Abstract

The aim of this study was to explore the value of computed tomography (CT) images based on electronic health (E-health) combined with painless gastrointestinal endoscopy (PGE) in the diagnosis of neurocognitive function in patients with combined anesthesia of propofol and butorphanol tartrate. 126 patients undergoing PGE were selected as the research objects, and all were performed with CT perfusion imaging before and after anesthesia to obtain the cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT), and time to peak (TTP). The Montreal Cognitive Assessment (MoCA) was adopted to evaluate the cognitive function of patients. The results showed that after anesthesia, the levels of CBF and CBV in the left and right thalami, frontal lobe, and temporal lobe of the patients were lower than those before anesthesia, while TTP and MTT were higher than those before anesthesia ( P < 0.05 ). The MoCA score after anesthesia was lower than that before anesthesia ( P < 0.05 ). After anesthesia, the CBF, CBV, TTP, and MTT values of the left and right frontal lobes and left and right temporal lobes were significantly positively correlated with MoCA ( P < 0.05 ). In conclusion, the brain CT image parameters based on E-health can clearly display the blood perfusion in the lesion area of the patient, which was beneficial to the PGE-assisted judgment of cognitive dysfunction in patients with propofol tartrate and butorphanol tartrate anesthesia. Therefore, CT-assisted PGE examination based on E-health had a certain clinical value in evaluating the neurocognitive function of patients.

Published
2022
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5. Imaging Parameters Predict Recurrence After Transient Ischemic Attack or Minor Stroke Stratified by ABCD 2 Score

Author

Jing Jing, Yue Suo, Anxin Wang, Yingting Zuo, Yong Jiang, Liping Liu, Xingquan Zhao, Yilong Wang, Zixiao Li, Hao Li, Xia Meng, Yongjun Wang, Jilai Li, Jian Wu, Mei Zhang, Maolin He, Tao Gong, Quping Ouyang, Guang Huang, Fengchun Yu, Chenlong Wang, Jinli Zhang, Wenqing Wu, Yi Wang, Yaoyu Yu, Meiyun Zhang, Zhongping An, Junyan Liu, Wanying Shi, Baoquan Lu, Lijun Geng, Shujuan Wang, Xu Zhang, Ruifang Liu, Fengli Zhao, Jie Lin, Xinping Liu, Xuebing Sun, Tianyuan Li, Youming Wang, Xinxia He, Weiqiang Yuan, Ronghua Dou, Lihai Liu, Yanling Wang, Junling Zhang, Haisong Du, Yuqing Wei, Cunrui Wang, Limin Wang, Yu’an Zou, Xiaofei Chen, Fengyun Hu, Jinfeng Liu, Lili Zhao, Fanping He, Xingchen Wang, Qingwei Zhao, Xiaohong Li, Jun Zhao, Zhangyong Xia, Hongjin Li, Mingzong Yan, Guiru Zhang, Hui Liang, Yunlin Liu, Jun Xu, Runqing Wang, Yuhui Han, Xianghong Meng, Mingzhen Li, Ting Wang, Xinsheng Han, Hongtian Zhang, Congmin Ma, Wenjun Xue, Chun Wang, Yan Fang, Gexia Liu, Jianfeng Wang, Qiang Ma, Wenxu Zheng, Haitao Chi, Lianbo Gao, Jin Zhou, Huisheng Chen, Juan Feng, Hongbo Xiao, Lijun Xiao, Yi Yang, Guozhong Li, Yulan Zhu, Lihua Wang, Yindong Yang, Xuerong Qiu, Xuhai Gong, Guohua Chen, Xiaoxiang Peng, Qunhui Liu, Shiping Gong, Hongbin Zhou, Haipeng Li, Yong You, Jinsheng Lin, Yun Xu, Lei Sheng, Heqing Zhao, Aixia Zhuang, Kaifu Ke, Qi Fang, Zhengxie Dong, Guiyun Cui, Deqin Geng, Liangqun Rong, Junfeng Shi, Ming Yu, Yu Geng, Benyan Luo, Xueli Cai, Jun Zhou, Yi Wu, Weiguo Tang, Zhimin Wang, Yangmei Chen, Yanjiang Wang, Kangning Chen, Shizheng Wu, Wenguang Bu, Xiaohua Cheng, Zhengqi Lu, An’ding Xu, Jia Yin, Jifu Cai, Yi Guo, Jun Wu, Lvli Li, Li Pan, Yinzhou Wang, Ning Wang, Jianping Niu, Qing Li, Hong Wang, Hongyan Li, Xiaoying Zhang, Liping Zhan, Yongming Chen, Baojun Wang, Li’e Wu, Li Liu, Yanru Zhao, Yingchun Wu, Runxiu Zhu, Yanhui Du, Yongxia Wen, Ye Tian, Songdi Wu, Yongcai Qu, Yuncheng Wu, Jianren Liu, Qiang Dong, Qingke Bai, Yuwu Zhao, Xu Chen, Chaoming He, Lijie Ren, Weiwen Qiu, Shufang Yao, Xuwen Sun, Hainan Zhang, Weirong Li, Ligong Gao, Xianglin Chen, Jianhua Li, Qiuyan Shi, Yan Wang, Mingzhi Zhao, Jinsheng Zeng, Liping Wang, Wei Wang, Feng Qiu, Zhaochen Li, Liang Zhao, Tianbao Chen, Lei Xia, SuYun Yang, Yazhou Han, Liyan Liu, Xinxiao Wu, Beihai Jiang, Lizhong Li, Weidong Lou, Xiaoqian Shen, Ping Zhang, Weiming Lan, Aihu Zheng, Qifu Bai, Lifang Luan, Lin Chen, Liqing Yan, Yanxia Wang, Xuerong Huang, Xiangting Chai, Yanshu Liu, Liangjun You, Hongqin Yang, Dongfang Li, Huijuan Wang, Linying Gui, Aisheng Wu, Jianling Zhang, Dengling Wang, Qinghua Zhang, Yunhong He, Ruiyou Guo, Jijun Teng, and Ping Lou

Subjects
Advanced and Specialized Nursing, medicine.medical_specialty, business.industry, Stroke recurrence, Infarction, Minor stroke, medicine.disease, Neuroimaging, Internal medicine, Ischemic stroke, Cardiology, Medicine, Transient (computer programming), cardiovascular diseases, Neurology (clinical), Cardiology and Cardiovascular Medicine, business
Abstract

Background and Purpose: Whether imaging parameters would independently predict stroke recurrence in low-risk minor ischemic stroke (MIS) or transient ischemic attack (TIA) according to traditional score system (such as ABCD 2 score, which was termed on the basis of the initials of the five factors: age, blood pressure, clinical features, duration, diabetes) remains unclear. We sought to evaluate the association between imaging parameters and 1-year stroke recurrence in patients with TIA or MIS in different risk stratum stratified by ABCD 2 score. Methods: We included patients with TIA and MIS (National Institutes of Health Stroke Scale score ≤3) with complete baseline vessel and brain imaging data from the Third China National Stroke Registry III. Patients were categorized into different risk groups based on ABCD 2 score (low risk, 0–3; moderate risk, 4–5; and high risk, 6–7). The primary outcome was stroke recurrence within 1 year. Multivariable Cox proportional-hazards regression models were used to assess whether imaging parameters (large artery stenosis, infarction number) were independently associated with stroke recurrence. Results: Of the 7140 patients included, 584 patients experienced stroke recurrence within 1 year. According to the ABCD 2 score, large artery stenosis was associated with higher stroke recurrence in both low-risk (adjusted hazard ratio, 1.746 [95% CI, 1.200–2.540]) and moderate-risk group (adjusted hazard ratio, 1.326 [95% CI, 1.042–1.687]) but not in the high-risk group ( P >0.05). Patients with multiple acute infarctions or single acute infarction had a higher risk of recurrent stroke than those with no infarction in both low- and moderate-risk groups, but not in the high-risk group. Conclusions: Large artery stenosis and infarction number were independent predictors of 1-year stroke recurrence in low-moderate risk but not in high-risk patients with TIA or MIS stratified by ABCD 2 score. This finding emphasizes the importance of early brain and vascular imaging evaluation for risk stratification in patients with TIA or MIS.

Published
2021
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6. miR-25 promotes glioma cell proliferation by targeting CDKN1C

Author

Xuhai Gong, Kaiyu Tian, Dongkai Chen, Jiahang Sun, Guangzhi Wang, Jihong Zhang, and Mian Guo

Subjects
Molecular Sequence Data, Downregulation and upregulation, Cyclin-dependent kinase, Cell Line, Tumor, Glioma, microRNA, medicine, Humans, Cyclin-Dependent Kinase Inhibitor p57, Cell Proliferation, Pharmacology, Base Sequence, biology, Brain Neoplasms, Cell growth, General Medicine, Cell cycle, medicine.disease, Up-Regulation, Cell biology, Gene Expression Regulation, Neoplastic, MicroRNAs, Cell culture, biology.protein, Ectopic expression
Abstract

MicroRNAs (miRNA) have oncogenic or tumor-suppressive roles in the development and growth of human glioma. Glioma development is also associated with alteration in the activities and expression of cell cycle regulators, and miRNAs are emerging as important regulators of cell cycle progression. Here, we show that miR-25 is overexpressed in 91% of examined human glioma tissues and 4 out of 6 human glioma cell lines. MiR-25 increases cell proliferation in two independent glioma cell lines. Ectopic expression of miR-25 was found to reduce CDKN1C protein levels by directly targeting its 3'-untranslated region (UTR). Notably, ablation of endogenous miR-25 rescued CDKN1C expression and significantly decreased glioma cell proliferation by facilitating normal cell cycle progression. Our clinical investigation found CDKN1C and miR-25 levels were inversely correlated. Lastly, downregulation of CDKN1 by siRNA blocked the activity of miR-25 on promoting glioma cell proliferation. Overall, our results for the first time show an oncogenic role of miR-25 in human glioma by targeting CDKN1C and that miR-25 could potentially be a therapeutic target for glioma intervention.

Published
2015
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