Development and external validation of a prediction model for major adverse kidney events within 30 days in sepsis associated acute kidney injury: a multi-center retrospective clinical study.
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| Title: | Development and external validation of a prediction model for major adverse kidney events within 30 days in sepsis associated acute kidney injury: a multi-center retrospective clinical study. |
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| Authors: | Su Q; Emergency & Critical Care Medicine Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.; Department of Emergency Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Ruijin 2# Road No. 197, Shanghai, 200025, China.; Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Zhou Y; Department of Emergency Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Ruijin 2# Road No. 197, Shanghai, 200025, China., Chen J; Department of Critical Care Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Ling Q; Department of Emergency Internal Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Jiang Y; Department of Critical Care Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Chen W; Department of Emergency Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Ruijin 2# Road No. 197, Shanghai, 200025, China., Mao E; Department of Emergency Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Ruijin 2# Road No. 197, Shanghai, 200025, China., Qu H; Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Wang R; Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Zhu D; Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China., Zhao G; Department of Emergency Medicine, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Wang S; Department of Critical Care Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.; Intensive Care Medical Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China., Wang Q; Department of Emergency Internal Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Zhu C; Department of Emergency Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Gao Y; Department of Critical Care Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Chen E; Emergency & Critical Care Medicine Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. chenerzhen@hotmail.com.; Department of Emergency Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Ruijin 2# Road No. 197, Shanghai, 200025, China. chenerzhen@hotmail.com.; Shanghai Institute of Aviation Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. chenerzhen@hotmail.com., Chen Y; Department of Emergency Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Ruijin 2# Road No. 197, Shanghai, 200025, China. bichatlion@163.com. |
| Source: | BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2026 Jun 23. Date of Electronic Publication: 2026 Jun 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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