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167 results on '"Wang, Penglian"'

19. The efficacy and safety of nimodipine in acute ischemic stroke patients with mild cognitive impairment: a double-blind, randomized, placebo-controlled trial

Author

Zheng, Huaguang, Wang, Yilong, Wang, Anxin, Li, Hao, Wang, David, Zhao, Xingquan, Wang, Penglian, Shen, Haipeng, Zuo, Lijun, Pan, Yuesong, Li, Zixiao, Meng, Xia, Wang, Xianwei, Shi, Weixiong, Ju, Yi, Liu, Liping, Dong, Kehui, Wang, Chunxue, Sui, Rubo, Xue, Rong, Pan, Xiaoping, Niu, Xiaoyua, Luo, Benyan, Sui, Yi, Wang, Huali, Feng, Tao, and Wang, Yongjun

Published
2019
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24. Early versus delayed antihypertensive treatment in patients with acute ischaemic stroke: multicentre, open label, randomised, controlled trial

Author

Liu, Liping, primary, Xie, Xuewei, additional, Pan, Yuesong, additional, Wang, Aili, additional, Wei, Yufei, additional, Liu, Jingyi, additional, Nie, Ximing, additional, Liu, Dacheng, additional, Zhao, Zilin, additional, Wang, Penglian, additional, Shen, Suwen, additional, Zhong, Chongke, additional, Xu, Tan, additional, Wang, Dali, additional, Wang, Gui-Chun, additional, Song, Denghua, additional, Ma, Yunsheng, additional, Zhao, Jinguo, additional, Jiang, Yong, additional, Jing, Jing, additional, Meng, Xia, additional, Obst, Katherine, additional, Chen, Chung-Shiuan, additional, Wang, David, additional, Wang, Yilong, additional, Zhang, Yonghong, additional, Wang, Yongjun, additional, and He, Jiang, additional

Published
2023
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26. Roles of general and central adiposity in cardiometabolic multimorbidity: revisiting the obesity paradox using a multistate model.

Author

Xia, Xue, Chen, Shuohua, Tian, Xue, Xu, Qin, Zhang, Yijun, Zhang, Xiaoli, Li, Jing, Wang, Penglian, Wu, Shouling, and Wang, Anxin

Subjects
OBESITY paradox, OBESITY, WAIST-hip ratio, COMORBIDITY, HEART metabolism disorders
Abstract

Objective: The objective of this study was to evaluate the associations of general and central obesity with risk of first cardiometabolic disease (FCMD), cardiometabolic multimorbidity (CMM), and death. Methods: A total of 86,169 participants who were CMD‐free were included from the Kailuan cohort and categorized into four groups by quartiles of BMI, waist to hip ratio (WHR), weight‐adjusted waist index, and waist to height ratio. We defined FCMD as the first onset of diabetes, stroke, or myocardial infarction and CMM as co‐occurrence of at least two CMDs. Multistate models were used to estimate hazard ratios and 95% CI. Results: A total of 18,461 participants developed FCMD, of whom 1476 progressed to CMM, and 10,009 died during follow‐ups. Both general and central adiposity indices increased the risk of transition from baseline to FCMD and from FCMD to CMM. However, compared with the first quartile, the hazard ratio (95% CI) of the fourth quartile of BMI was 0.86 (95% CI: 0.80–0.91) for transition from health to death and 0.66 (95% CI: 0.59–0.74) from FCMD to death, whereas the corresponding estimates of WHR were 1.22 (95% CI: 1.14–1.31) and 1.16 (95% CI: 1.02–1.32), respectively. Conclusions: Central adiposity indices such as WHR were associated with an increased risk of CMD and mortality, showing no evidence for the obesity paradox and thereby supporting a shift of public focus from BMI only to both general obesity and adiposity distribution. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Longitudinal cardiovascular health measured by life's essential 8 metrics with incident diabetes: A 13‐year prospective cohort study.

Author

Tian, Xue, Chen, Shuohua, Xu, Qin, Xia, Xue, Zhang, Yijun, Zhang, Xiaoli, Wang, Penglian, Wu, Shouling, and Wang, Anxin

Subjects
DIABETES, COHORT analysis, LONGITUDINAL method, PEOPLE with diabetes, CHINESE people
Abstract

Aims: To investigate the associations of baseline and longitudinal cardiovascular health (CVH) measured by 'Life's Essential 8' (LE8) metrics with the risk of diabetes in Chinese people with normoglycaemia or prediabetes. Materials and Methods: A total 86,149 participants without diabetes were enroled from the Kailuan study and were stratified by baseline glycaemic status (normoglycaemia or prediabetes). Cardiovascular health score ranged from 0 to 100 points was categorised into low (0–49), middle (50–79), and high (80–100) CVH status. Cox regressions were used to assess the associations of baseline and time‐updated CVH status with incident diabetes in the overall cohort and across baseline glycaemic statuses. Results: During a median follow‐up of 12.94 (interquartile rage: 12.48–13.16) years, we identified 13,097 (15.20%) cases of incident diabetes. Baseline and time‐updated high CVH status was associated with a lower risk of diabetes, the corresponding hazard ratio (HR) versus low CVH status was 0.27 (95% confidence interval [CI], 0.23–0.31) and 0.26 (95% CI, 0.23–0.30) in the overall cohort, respectively. Additionally, the effect of high CVH on diabetes was more prominent in participants with normoglycaemia than those with prediabetes (P < 0.0001), with an HR of 0.26 (95% CI, 0.22–0.31) versus 0.50 (95% CI, 0.41–0.62) for baseline CVH, and 0.25 (95% CI, 0.21–0.30) versus 0.39 (95% CI, 0.32–0.48) for time‐updated CVH. Conclusions: Elevated baseline and longitudinal CVH score assessed by LE8 metrics is associated with a lower risk of subsequent diabetes, especially in normoglycaemic adults. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Additional file 1 of Triglyceride-glucose index variability and incident cardiovascular disease: a prospective cohort study

Author

Li, Haibin, Zuo, Yingting, Qian, Frank, Chen, Shuohua, Tian, Xue, Wang, Penglian, Li, Xia, Guo, Xiuhua, Wu, Shouling, and Wang, Anxin

Abstract

Additional file 1: Figure S1. Study design. Figure S2. Distribution of TyG variability. Figure S3. Distribution of slope of TyG index. Figure S4. Restricted cubic spline regression for the association of baseline, mean, and variability of triglyceride-glucose index with risk of cardiovascular disease. Figure S5. Forest plot of adjusted hazard ratio for cardiovascular disease by TyG index variability categories. Figure S6. Forest plot of adjusted hazard ratio for cardiovascular disease by TyG variability according to RMSE (root-mean-square error), SD (standard deviation), CV (coefficient of variation), and VIM (independent of the mean). Figure S7. E-value for cardiovascular disease according to baseline, mean, and variability of TyG index. Table S1. Association between slope of TyG index and the incidence of cardiovascular disease. Table S2. Sensitivity analysis for the association between tertiles of baseline, mean, and variability of TyG index and the incidence of cardiovascular disease.

Published
2022
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35. Additional file 1 of Time course of the triglyceride glucose index accumulation with the risk of cardiovascular disease and all-cause mortality

Author

Tian, Xue, Chen, Shuohua, Zhang, Yijun, Zhang, Xiaoli, Xu, Qin, Wang, Penglian, Wu, Shouling, Wang, Anxin, and Luo, Yanxia

Abstract

Additional file 1: Table S1. Baseline characteristics between included and excluded participants. Table S2. Baseline characteristics according to slope of the TyG index. Table S3. Association of time course of cumTyG accumulation with risk of CVD subtypes. Table S4. Association of cumulative accumulation and slope of the TyG index with CVD subtypes. Table S5. Sensitivity analysis by using competing risk model or excluding CVD event during the follow-up. Table S6. Sensitivity analysis by using 2-lagged analysis (n = 50652). Table S7. Sensitivity analysis by excluding participants were treated with antidiabetic or lipid-lowering agents (n = 46686). Table S8. Sensitivity analysis by excluding participants with abnormal FBG or TG levels (n = 33758). Figure S1. The flowchart of the study. Figure S2. Cumulative TyG index and TyG slope calculated across 3 examinations in 1 participants. Average TyG index between consecutive examinations as A1 and A2. Cumulative TyG index was calculated as (A1 × time06–08 + A2 × time08–10), showed by the dotted area, × year. Figure S3. Kaplan-Meier curve of cardiovascular disease subtypes incidence rate by the combination of cumTyG and time course of TyG index accumulation.

Published
2022
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38. Risk Score to Predict Hospital-Acquired Pneumonia After Spontaneous Intracerebral Hemorrhage

Author

Ji, Ruijun, Shen, Haipeng, Pan, Yuesong, Du, Wanliang, Wang, Penglian, Liu, Gaifen, Wang, Yilong, Li, Hao, Zhao, Xingquan, Wang, Yongjun, Bi, Qi, Zhang, Weiwei, Cui, Liying, Sun, Yuheng, He, Maolin, Fan, Dongsheng, Ji, Xunming, Li, Jimei, Zhang, Fang, Feng, Kai, Zhang, Xiaojun, Li, Yansheng, Wang, Shaoshi, Fan, Wei, Liu, Zhenguo, Sun, Xiaojiang, Li, Wei, Liu, Jianrong, Chen, Xu, Bai, Qingke, Gu, Dexiang, Li, Xin, Dong, Qiang, Cheng, Yan, Yu, Lan, Li, Bin, Wang, Tongyu, Zhao, Kun, Zhang, Chaodong, Tao, Dingbo, Yin, Lin, Qu, Fang, Zhang, Jingbo, Wang, Jianfeng, Lian, Ying, Qu, Fang, Fan, Jun, Gao, Ying, Cheng, Mingdong, Wu, Jiang, Sun, Huashan, Li, Jinying, Li, Guozhong, Zhu, Yulan, Yang, Zichao, Yang, Fengmin, Zhou, Jun, Guo, Minxia, Li, Zhengyi, Ma, Qilin, Huang, Renbin, Xiao, Bo, Chen, Kangning, Qin, Xinyue, Hu, Changlin, Gao, Li, Zeng, Jinsheng, Xu, Anding, Zhang, Xiong, Shao, Ming, Qi, Feng, Xiao, Weimin, Zhang, Suping, Pan, Xiaoping, Pan, Suyue, Cai, Yefeng, Wan, Qi, Xu, Yun, Ke, KaiFu, Kong, Yuenan, Di, Qing, Shao, Fengyang, Jiang, Yajun, Wang, Daming, Guo, Li, and Xue, Wencui

Published
2014
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39. Association of Trimethylamine N-Oxide and Its Precursor With Cerebral Small Vessel Imaging Markers

Author

Chen, Yiyi, primary, Xu, Jie, additional, Pan, Yuesong, additional, Yan, Hongyi, additional, Jing, Jing, additional, Yang, Yingying, additional, Wang, Xing, additional, Wan, Huijuan, additional, Gao, Ying, additional, Han, Shangrong, additional, Zhong, Xi, additional, Liu, Chenhui, additional, Pi, Jingtao, additional, Li, Zhengyang, additional, Luo, Biyang, additional, Wang, Guangyao, additional, Zhao, Yilong, additional, Wang, Nan, additional, Lin, Jinxi, additional, Meng, Xia, additional, Zhao, Xingquan, additional, Liu, Liping, additional, Li, Wei, additional, Jiang, Yong, additional, Li, Zixiao, additional, Zhang, Xinmiao, additional, Yang, Xiaomeng, additional, Ji, Ruijun, additional, Wang, Chunjuan, additional, Li, Hao, additional, Wang, Penglian, additional, Zheng, Huaguang, additional, Ji, Weizhong, additional, Cai, Xueli, additional, Wu, Songdi, additional, Han, Xinsheng, additional, Wang, Yongjun, additional, and Wang, Yilong, additional

Published
2021
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40. China Antihypertensive Trial in Acute Ischemic Stroke II (CATIS-2): rationale and design

Author

Liu, Liping, primary, Wang, Yilong, additional, Xie, Xuewei, additional, Liu, Dacheng, additional, Wang, Aili, additional, Wang, Penglian, additional, Shen, Suwen, additional, Zhong, Chongke, additional, Wei, Yufei, additional, Xu, Tan, additional, Pan, Yuesong, additional, Jiang, Yong, additional, Meng, Xia, additional, Wang, David, additional, Zhang, Yonghong, additional, He, Jiang, additional, and Wang, Yongjun, additional

Published
2021
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41. Adverse Outcomes Associated With Higher Mean Blood Pressure and Greater Blood Pressure Variability Immediately After Successful Embolectomy in Those With Acute Ischemic Stroke, and the Influence of Pretreatment Collateral Circulation Status

Author

Liu, Dacheng, primary, Nie, Ximing, additional, Pan, Yuesong, additional, Yan, Hongyi, additional, Pu, Yuehua, additional, Wei, Yufei, additional, Cai, Yuan, additional, Ding, Yarong, additional, Lu, Qixuan, additional, Zhang, Zhe, additional, Gu, Weibin, additional, Hou, Xinyi, additional, Yang, Zhonghua, additional, Wen, Miao, additional, Wang, Penglian, additional, Ma, Gaoting, additional, Ma, Ning, additional, Miao, Zhongrong, additional, Leng, Xinyi, additional, Yan, Bernard, additional, Davis, Stephen M., additional, Wang, Yongjun, additional, and Liu, Liping, additional

Published
2021
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46. Chinese Stroke Association guidelines for clinical management of cerebrovascular disorders: executive summary and 2019 update of the management of high-risk population

Author

Wang, Yilong, primary, Han, Shangrong, additional, Qin, Haiqiang, additional, Zheng, Huaguang, additional, Jiang, Bin, additional, Cao, Yong, additional, Gao, Yuan, additional, Guan, Ling, additional, Jia, Qian, additional, Jiang, Yong, additional, Jiao, Yuming, additional, Li, Shuya, additional, Li, Yapeng, additional, Li, Zixiao, additional, Liu, Wei, additional, Ru, Xiaojuan, additional, Sun, Dongling, additional, Sun, Haixin, additional, Wang, Penglian, additional, Wang, Tingting, additional, Zong, Lixia, additional, Guo, Lei, additional, Xie, Xuewei, additional, Xu, Yuming, additional, Xu, Yuyuan, additional, Yang, Xiaomeng, additional, Yang, Yingying, additional, Zhou, Mengyuan, additional, and Wang, Wenzhi, additional

Published
2020
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