Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study.
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| Title: | Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study. |
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| Authors: | Gross BJ; Division of Biomedical Informatics, University of California , La Jolla, San Diego, USA., Donahue A; Department of Emergency Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA., Ford JS; Department of Emergency Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA., Lu X; Division of Biomedical Informatics, University of California , La Jolla, San Diego, USA., Boussina A; Division of Biomedical Informatics, University of California , La Jolla, San Diego, USA., Malhotra A; Division of Pulmonology, Critical Care, and Sleep Medicine, University of California, La Jolla, San Diego, USA., Zheng K; Department of Informatics, University of California, Irvine, Irvine, USA., Nemati S; Division of Biomedical Informatics, University of California , La Jolla, San Diego, USA., Wardi G; Department of Emergency Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. gwardi@health.ucsd.edu.; Department of Medicine, University of California, San Diego, USA. gwardi@health.ucsd.edu.; Division of Pulmonology, Critical Care, and Sleep Medicine, University of California, La Jolla, San Diego, USA. gwardi@health.ucsd.edu. |
| Source: | Critical care (London, England) [Crit Care] 2025 Jul 14; Vol. 29 (1), pp. 302. Date of Electronic Publication: 2025 Jul 14. |
| Publication Type: | Journal Article; Multicenter Study; Observational Study |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 9801902 Publication Model: Electronic Cited Medium: Internet ISSN: 1466-609X (Electronic) Linking ISSN: 13648535 NLM ISO Abbreviation: Crit Care Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40660326 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gross+BJ%22">Gross BJ</searchLink>; Division of Biomedical Informatics, University of California , La Jolla, San Diego, USA.<br /><searchLink fieldCode="AU" term="%22Donahue+A%22">Donahue A</searchLink>; Department of Emergency Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.<br /><searchLink fieldCode="AU" term="%22Ford+JS%22">Ford JS</searchLink>; Department of Emergency Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.<br /><searchLink fieldCode="AU" term="%22Lu+X%22">Lu X</searchLink>; Division of Biomedical Informatics, University of California , La Jolla, San Diego, USA.<br /><searchLink fieldCode="AU" term="%22Boussina+A%22">Boussina A</searchLink>; Division of Biomedical Informatics, University of California , La Jolla, San Diego, USA.<br /><searchLink fieldCode="AU" term="%22Malhotra+A%22">Malhotra A</searchLink>; Division of Pulmonology, Critical Care, and Sleep Medicine, University of California, La Jolla, San Diego, USA.<br /><searchLink fieldCode="AU" term="%22Zheng+K%22">Zheng K</searchLink>; Department of Informatics, University of California, Irvine, Irvine, USA.<br /><searchLink fieldCode="AU" term="%22Nemati+S%22">Nemati S</searchLink>; Division of Biomedical Informatics, University of California , La Jolla, San Diego, USA.<br /><searchLink fieldCode="AU" term="%22Wardi+G%22">Wardi G</searchLink>; Department of Emergency Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. gwardi@health.ucsd.edu.; Department of Medicine, University of California, San Diego, USA. gwardi@health.ucsd.edu.; Division of Pulmonology, Critical Care, and Sleep Medicine, University of California, La Jolla, San Diego, USA. gwardi@health.ucsd.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229801902%22">Critical care (London, England)</searchLink> [Crit Care] 2025 Jul 14; Vol. 29 (1), pp. 302. <i>Date of Electronic Publication: </i>2025 Jul 14. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study; Observational Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9801902 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1466-609X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213648535%22">13648535 </searchLink><i>NLM ISO Abbreviation: </i>Crit Care <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40660326 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13054-025-05493-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 302 Titles: – TitleFull: Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gross BJ – PersonEntity: Name: NameFull: Donahue A – PersonEntity: Name: NameFull: Ford JS – PersonEntity: Name: NameFull: Lu X – PersonEntity: Name: NameFull: Boussina A – PersonEntity: Name: NameFull: Malhotra A – PersonEntity: Name: NameFull: Zheng K – PersonEntity: Name: NameFull: Nemati S – PersonEntity: Name: NameFull: Wardi G IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 07 Text: 2025 Jul 14 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1466-609X Numbering: – Type: volume Value: 29 – Type: issue Value: 1 Titles: – TitleFull: Critical care (London, England) Type: main |
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