日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

80 years of extracellular vesicles: from discovery to clinical translation

细胞外囊泡80年:从发现到临床转化

Li, Qiang; Ding, Yinan; Shi, Yejiao; Qiu, Chong; Lei, Lei; Li, Shenglong; Zhu, Zheng; Zheng, Judun; Qin, Cheng; Wang, Kaiyuan; Jiang, Cheng; Han, Ziyi; Yang, Lingyan; Zhang, Lang; Li, Ping; Tong, Lingjun; Wang, Duan; Xu, Hong; Dai, Bingyang; Du, Yangyang; Wang, Kaiyang; Fan, Zhijin; Wang, Wei; Guo, Keying; Huang, Yu; Wang, Xia; Sui, Bingdong; Wen, Liang; Chen, Feixiong; Feng, Dechao; Qin, Xiang; Mao, Wenjun; Liu, Hongxing; Liu, Chen; Li, Zhaoting; Wang, Yongfei; Huang, Ru; Lu, Rong; Zhang, Yulin; Tian, Ying; Miao, Xiaolong; Yin, Yuan; Zhang, Jun; Wang, Zhizeng; Ma, Teng; Dong, Haifeng; Wei, Daixu; Yang, Zhengyang; Yang, Xiaohong; Cheng, Xiaoyu; Chrzanowski, Wojciech; Chang, Zhigang; Zhang, Xudong; Cho, William C; Luo, Yang; Xia, Weiliang; Huang, Zhaohui

Frailty Index-laboratory and lymphocyte subset patterns in predicting 28-day mortality among elderly sepsis patients: a multicenter observational cohort study

衰弱指数-实验室指标和淋巴细胞亚群模式在预测老年脓毒症患者28天死亡率中的作用:一项多中心观察性队列研究

Li, Dongkai; Hou, Jiatong; Shi, Zhan; Li, Xiao; Zhang, Jiahui; Zhao, Guoyu; Lei, Xianli; Xie, Yawen; Wang, Yuefu; Wang, Hao; Chang, Zhigang; Cui, Na

The Roles of Histone H3K18 Lactylation, Acetylation, and Lactylation/Acetylation Ratio as Potential Biomarkers in the Diagnosis and Severity Assessment of Sepsis and Septic Shock.

组蛋白 H3K18 乳酸化、乙酰化和乳酸化/乙酰化比率作为脓毒症和脓毒性休克诊断和严重程度评估的潜在生物标志物的作用。

Di Chenyi, Chu Xin, Chang Panpan, Zhao Yanyang, Chong Junci, Chen Siying, Ren Bingkui, Li Hexin, Xu Xiaodong, Chen Beidong, Chang Zhigang

Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP

基于机器学习和SHAP的出血危重患者院内死亡率可解释预测

Ren, Bingkui; Zhang, Yuping; Chen, Siying; Dai, Jinglong; Chong, Junci; Zhong, Yifei; Deng, Mengkai; Jiang, Shaobo; Chang, Zhigang

Association between fibrinogen levels and prognosis in critically bleeding patients: exploration of the optimal therapeutic threshold

纤维蛋白原水平与危重出血患者预后的关系:探索最佳治疗阈值

Ren, Bingkui; Zhang, Yuping; Chen, Siying; Dai, Jinglong; Chong, Junci; Chang, Zhigang

Association of the TyG index with prognosis in surgical intensive care patients: data from the MIMIC-IV

TyG 指数与外科重症监护患者预后的相关性:来自 MIMIC-IV 的数据

Liu, Donghao; Ren, Bingkui; Tian, Yuqing; Chang, Zhigang; Zou, Tong

Core outcome set of daily monitoring of gastrointestinal function in adult critically ill patients: a modified Delphi consensus process (COSMOGI)

成人危重患者胃肠功能日常监测的核心结果集:改良的德尔菲共识过程(COSMOGI)

Bachmann, Kaspar F; Jenkins, Bethan; Asrani, Varsha; Bear, Danielle E; Bolondi, Giuliano; Boraso, Sabrina; Casaer, Michael P; Chang, Zhigang; Coopersmith, Craig M; Cotoia, Antonella; Davies, Thomas; De Man, Angelique; Elke, Gunnar; Gundogan, Kursat; Gunst, Jan; Kvolik, Slavica; Laube, Marcus; Lindner, Matthias; Lopez-Delgado, Juan Carlos; Loudet, Cecilia; Matsa, Ram; Pardo, Emmanuel; Piva, Simone; Puthucheary, Zudin; Rice, Todd W; Ruiz-Santana, Sergio; Schaller, Stefan J; Starkopf, Joel; Stoppe, Christian; Van Zanten, Arthur; Reintam Blaser, Annika

Application of a cloud platform that identifies patient-ventilator asynchrony and enables continuous monitoring of mechanical ventilation in intensive care unit

应用云平台识别患者-呼吸机不同步,并实现重症监护病房机械通气的持续监测

Chen, Xiangyu; Fan, Junping; Zhao, Wenxian; Shi, Ruochun; Guo, Nan; Chang, Zhigang; Song, Maifen; Wang, Xuedong; Chen, Yan; Li, Tong; Li, Guang-Gang; Su, Longxiang; Long, Yun

Haste makes waste: Early nutrition prescription for critically ill patients

欲速则不达:对危重病人尽早制定营养方案

Chen, Siying; Chang, Zhigang

The dynamic changes of serum IgM and IgG against SARS-CoV-2 in patients with COVID-19

COVID-19患者血清中针对SARS-CoV-2的IgM和IgG的动态变化

Zhou, Wei; Xu, Xiaomao; Chang, Zhigang; Wang, He; Zhong, Xuefeng; Tong, Xunliang; Liu, Taotao; Li, Yanming