Predicting the clinical trajectory in critically ill patients with sepsis: a cohort study (vol 23, 408, 2019)

被引：1
|
作者：
Klouwenberg, Peter M. C. Klein [1 ]
Spitoni, Cristian [2 ]
van der Poll, Tom [3 ]
Bonten, Marc J. [4 ,5 ]
Cremer, Olaf L. [6 ]
机构：
[1] Rijnstate Hosp, Dept Med Microbiol & Immunol, Wagnerlaan 55, NL-6815 AD Arnhem, Netherlands
[2] Univ Utrecht, Dept Math, Utrecht, Netherlands
[3] Univ Amsterdam, Locat Acad Med Ctr, Amsterdam Univ Med Ctr, Ctr & Mol Med,Div Infect Dis, Amsterdam, Netherlands
[4] Univ Utrecht, Univ Med Ctr Utrecht, Dept Med Microbiol, Utrecht, Netherlands
[5] Univ Utrecht, Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[6] Univ Utrecht, Univ Med Ctr Utrecht, Dept Intens Care Med, Utrecht, Netherlands
来源：
CRITICAL CARE | 2020年 / 24卷 / 01期
关键词：
D O I：
10.1186/s13054-020-2758-1
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
In the publication of this article [1], there are 4 collaborating authors missing from the ‘MARS consortium’. This has now been included in this correction article.
引用
收藏
页数：1
相关论文
共 50 条
  • [21] Clinical Benefits of High-Volume Hemofiltration in Critically Ill Pediatric Patients with Severe Sepsis: A Retrospective Cohort Study
    Miao, Huijie
    Wang, Fei
    Xiong, Xi
    Wang, Chunxia
    Zhang, Yucai
    BLOOD PURIFICATION, 2018, 45 (1-3) : 18 - 27
  • [22] Dyschloremia and Renal Outcomes in Critically Ill Patients With Sepsis: A Prospective Cohort Study: Dyschloremia and Renal Outcomes in Sepsis
    Thanekar, Saurabh M.
    Shanbhag, Vishal
    Prabhu, Attur Ravindra
    Nagaraju, Shankar Prasad
    Rangaswamy, Dharshan
    Shenoy, Srinivas Vinayak
    Bhojaraja, Mohan Varadarayanahalli
    Rao, Indu Ramachandra
    CRITICAL CARE RESEARCH AND PRACTICE, 2024, 2024
  • [23] CLINICAL SEVERITY OF BACTERIAL SEPSIS IN CRITICALLY ILL, SURGICAL PATIENTS
    Chelazzi, C.
    Villa, G.
    Salamova, L.
    De Gaudio, A. R.
    INTENSIVE CARE MEDICINE, 2010, 36 : S249 - S249
  • [24] An improved prognostic model for predicting the mortality of critically ill patients: a retrospective cohort study
    Xianming Zhang
    Rui Yang
    Yuanfei Tan
    Yaoliang Zhou
    Biyun Lu
    Xiaoying Ji
    Hongda Chen
    Jinwen Cai
    Scientific Reports, 12 (1)
  • [25] A multifactor model for predicting mortality in critically ill patients: A multicenter prospective cohort study
    Li, Zhongwang
    Cheng, Baoli
    Wang, Jingya
    Xie, Guohao
    Yu, Xiaobo
    Huang, Man
    Xu, Zhijun
    Lu, Zhongqiu
    Sun, Huaqin
    Zhang, Jian
    Wang, Zhiyi
    Wu, Haiya
    Liu, Xu
    Chu, Lihua
    Zhao, Jialian
    Fang, Xiangming
    JOURNAL OF CRITICAL CARE, 2017, 42 : 18 - 24
  • [26] An improved prognostic model for predicting the mortality of critically ill patients: a retrospective cohort study
    Zhang, Xianming
    Yang, Rui
    Tan, Yuanfei
    Zhou, Yaoliang
    Lu, Biyun
    Ji, Xiaoying
    Chen, Hongda
    Cai, Jinwen
    SCIENTIFIC REPORTS, 2022, 12 (01):
  • [27] Attributable mortality of ARDS among critically ill patients with sepsis: a multicenter, retrospective cohort study
    Wang, Dong-Hui
    Jia, Hui-Miao
    Zheng, Xi
    Xi, Xiu-Ming
    Zheng, Yue
    Li, Wen-Xiong
    BMC PULMONARY MEDICINE, 2024, 24 (01)
  • [28] Association between comorbid asthma and prognosis of critically ill patients with severe sepsis: a cohort study
    Huang, Jinju
    Zhang, Jurong
    Wang, Faxia
    Liang, Jiezhu
    Chen, Qinchang
    Lin, Zhuandi
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [29] Attributable mortality of ARDS among critically ill patients with sepsis: a multicenter, retrospective cohort study
    Dong-Hui Wang
    Hui-Miao Jia
    Xi Zheng
    Xiu-Ming Xi
    Yue Zheng
    Wen-Xiong Li
    BMC Pulmonary Medicine, 24
  • [30] The burden of sepsis in critically ill patients with multiple sclerosis: A population-based cohort study
    Oud, Lavi
    Garza, John
    JOURNAL OF CRITICAL CARE, 2022, 69
12345