A blood gas parameter-based assessment model for predicting poor prognosis in sepsis: A retrospective analysis of the MIMIC-IV and eICU-CRD.
Saved in:
| Title: | A blood gas parameter-based assessment model for predicting poor prognosis in sepsis: A retrospective analysis of the MIMIC-IV and eICU-CRD. |
|---|---|
| Authors: | Chen X; Department of Intensive Care Unit, The First Affliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.; Department of Intensive Care Unit, National Regional Medical Center, Binhai Campus of the First Affliated Hospital, Fujian Medical University, Fuzhou, Fujian, China., Zhuo H; Department of Intensive Care Unit, The First Affliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.; Department of Intensive Care Unit, National Regional Medical Center, Binhai Campus of the First Affliated Hospital, Fujian Medical University, Fuzhou, Fujian, China., Wang Y; School of Nursing and Medicine, Minjiang Teachers College, Fuzhou, Fujian, China., Wang D; Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, China., Li X; Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, China., Lin J; Department of Intensive Care Unit, The First Affliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.; Department of Intensive Care Unit, National Regional Medical Center, Binhai Campus of the First Affliated Hospital, Fujian Medical University, Fuzhou, Fujian, China., Liao X; Department of Intensive Care Unit, The First Affliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.; Department of Intensive Care Unit, National Regional Medical Center, Binhai Campus of the First Affliated Hospital, Fujian Medical University, Fuzhou, Fujian, China., Lin X; Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, China.; Shenzhen Key Laboratory of Immunity and Inflammatory Diseases, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong, China., Lin X; Department of Intensive Care Unit, The First Affliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.; Department of Intensive Care Unit, National Regional Medical Center, Binhai Campus of the First Affliated Hospital, Fujian Medical University, Fuzhou, Fujian, China. |
| Source: | PloS one [PLoS One] 2026 Jul 09; Vol. 21 (7), pp. e0346532. Date of Electronic Publication: 2026 Jul 09 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0346532 |
