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Early prediction of renal replacement therapy within 24 hours after septic shock recognition in the emergency department using machine learning: a retrospective analysis of a prospectively collected multicenter registry.

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Title: Early prediction of renal replacement therapy within 24 hours after septic shock recognition in the emergency department using machine learning: a retrospective analysis of a prospectively collected multicenter registry.
Authors: Nah S; Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea., Lim TH; Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea., Chung SP; Department of Emergency Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea., Suh GJ; Department of Emergency Medicine, Seoul National University Hospital, Seoul, Republic of Korea., Choi SH; Department of Emergency Medicine, Korea University Guro Hospital, Seoul, Korea., Kwon WY; Department of Emergency Medicine, Seoul National University Hospital, Seoul, Republic of Korea., Kim WY; Department of Emergency Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea., Kim K; Department of Emergency Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea., Choi S; Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea., You JS; Department of Emergency Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea., Choi HS; Department of Emergency Medicine, College of Medicine, Kyung Hee University, Seoul, Korea., Shin TG; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. drshin88@gmail.com., Han S; Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea. brayden0819@daum.net.
Source: BMC emergency medicine [BMC Emerg Med] 2026 Mar 27; Vol. 26 (1). Date of Electronic Publication: 2026 Mar 27.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968543 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-227X (Electronic) Linking ISSN: 1471227X NLM ISO Abbreviation: BMC Emerg Med Subsets: MEDLINE
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  Data: Early prediction of renal replacement therapy within 24 hours after septic shock recognition in the emergency department using machine learning: a retrospective analysis of a prospectively collected multicenter registry.
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  Data: <searchLink fieldCode="AU" term="%22Nah+S%22">Nah S</searchLink>; Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lim+TH%22">Lim TH</searchLink>; Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chung+SP%22">Chung SP</searchLink>; Department of Emergency Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Suh+GJ%22">Suh GJ</searchLink>; Department of Emergency Medicine, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+SH%22">Choi SH</searchLink>; Department of Emergency Medicine, Korea University Guro Hospital, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+WY%22">Kwon WY</searchLink>; Department of Emergency Medicine, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+WY%22">Kim WY</searchLink>; Department of Emergency Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+K%22">Kim K</searchLink>; Department of Emergency Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea.<br /><searchLink fieldCode="AU" term="%22Choi+S%22">Choi S</searchLink>; Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22You+JS%22">You JS</searchLink>; Department of Emergency Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Choi+HS%22">Choi HS</searchLink>; Department of Emergency Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Shin+TG%22">Shin TG</searchLink>; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. drshin88@gmail.com.<br /><searchLink fieldCode="AU" term="%22Han+S%22">Han S</searchLink>; Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea. brayden0819@daum.net.
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  Data: <searchLink fieldCode="JN" term="%22100968543%22">BMC emergency medicine</searchLink> [BMC Emerg Med] 2026 Mar 27; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Mar 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968543 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-227X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221471227X%22">1471227X </searchLink><i>NLM ISO Abbreviation: </i>BMC Emerg Med <i>Subsets: </i>MEDLINE
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              Text: 2026 Mar 27
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