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Heart & Lung : the Journal of Critical Care|December 7, 2025
Prediction of weaning in mechanically ventilated sepsis patients using interpretable machine learning methodsWei Song, Guolong Cai, Caibao Hu
European Journal of Medical Research|December 7, 2025
Trajectory patterns of mechanical power and prognosis in ARDS: a longitudinal analysis using group-based trajectory modelingWei Song, Guolong Cai, Yi Zhou, et al.
Respiratory Research|January 16, 2020
Fluid intake-related association between urine output and mortality in acute respiratory distress syndromeYanfei Shen, Guolong Cai, Shangzhong Chen, et al.
Chinese Medical Journal|January 24, 2014
Effect of two volume responsiveness evaluation methods on fluid resuscitation and prognosis in septic shock patientsQianghong Xu, Jing Yan, Guolong Cai, et al.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue|December 9, 2017
[A model based on random forests in prediction of 28-day prognosis in patients with severe sepsis/septic shock]Yang Wang, Shangzhong Chen, Caibao Hu, et al.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue|October 13, 2018
[Effect of left ventricular global longitudinal strain on prognosis of septic/septic shock patients: a Meta analysis]Jiahui Yuan, Min Chen, Shangzhong Chen, et al.
Journal of Intensive Care Medicine|October 28, 2020
Impact of Fluid Balance on Mortality Is Mediated by Fluid Accumulation Index in Sepsis: A Cohort StudyYanfei Shen, Xinmei Huang, Guolong Cai, et al.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue|June 8, 2015
[The effects of early goal-directed therapy on mortality rate in patients with severe sepsis and septic shock: a systematic literature review and Meta-analysis]Guolong Cai, Hongjie Tong, Xuejing Hao, et al.
Zhonghua Nei Ke Za Zhi|April 25, 2015
[The prediction value of noninvasive bioreactance-based passive leg raising test in assessing fluid responsiveness in elderly patients with sepsis]Hongjie Tong, Caibao Hu, Xuejing Hao, et al.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue|June 7, 2024
[Construction and external validation of a risk prediction model for unplanned interruption during continuous renal replacement therapy]Hongyan Xu, Qi Ren, Lihong Zhu, et al.
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