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A validated model for early prediction of group A streptococcal aetiology in necrotising soft tissue infections using minimal patient data

Abstract Background Necrotising soft tissue infections (NSTI) are life-threatening conditions caused by diverse bacteria. Treatment strategies have remained largely universal and unchanged, and only modest improvements in patient outcomes have been observed. Emerging insights into NSTI pathogenesis...

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Wedi'i Gadw mewn:
Prif Awduron: Sonja Katz, Jaco Suijker, Steinar Skrede, Annebeth Meij-de Vries, Anouk Pijpe, Anna Norrby-Teglund, Laura M. Palma Medina, Jan K. Damås, Ole Hyldegaard, Erik Solligård, Mattias Svensson, PerAID/PerMIT/INFECT study group, Knut Anders Mosevoll, Vitor A. P. Martins dos Santos, Edoardo Saccenti
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: BMC 2026-01-01
Cyfres:BMC Medicine
Pynciau:
Amputation
Flesh-eating bacteria
Machine learning models
Predictive modelling
Streptococcus pyogenes
Septic shock
Mynediad Ar-lein:https://doi.org/10.1186/s12916-025-04593-y
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