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Current Medical Research and Opinion Volume 38, 2022 - Issue 4
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Rheumatology

A novel prognostic model for predicting the mortality risk of patients with sepsis-related acute respiratory failure: a cohort study using the MIMIC-IV database

Lina Zhaoa Emergency Department, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China;b Department of critical care medicine, Chifeng Municipal Hospital, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng, ChinaORCID Iconhttps://orcid.org/0000-0002-1053-6824
ORCID Icon,
Jing Yanga Emergency Department, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
,
Cong Zhouc Department of critical care medicine, Peking university shenzhen hospital, Shenzhen, China
,
Yunying Wangb Department of critical care medicine, Chifeng Municipal Hospital, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng, China
&
Tao Liud Respiratory Department, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaCorrespondence[email protected]
Pages 629-636 | Received 29 Sep 2021, Accepted 02 Feb 2022, Published online: 15 Feb 2022

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Mengqi Wang, Yunzhen Shi, Xinling Pan, Bin Wang, Bin Lu & Jian Ouyang. (2024) An Individualized Nomogram for Predicting Mortality Risk of Septic Shock Patients During Hospitalization: A ten Years Retrospective Analysis. Infection and Drug Resistance 16, pages 6247-6257.
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Articles from other publishers (2)

Xian-Li Ning & Min Shao. (2023) Analysis of prognostic factors in patients with emergency sepsis. World Journal of Clinical Cases 11:25, pages 5903-5909.
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Rozita Tsoni, Vasileios Kaldis, Ioanna Kapogianni, Aikaterini Sakagianni, Georgios Feretzakis & Vassilios S. Verykios. (2023) A Machine Learning Pipeline Using KNIME to Predict Hospital Admission in the MIMIC-IV Database. A Machine Learning Pipeline Using KNIME to Predict Hospital Admission in the MIMIC-IV Database.

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