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Application of physiological network mapping in the prediction of survival in critically ill patient...

Application of physiological network mapping in the prediction of survival in critically ill patient...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_71647d7852f8441487a01fe9cc1f5575

Application of physiological network mapping in the prediction of survival in critically ill patients with acute liver failure

About this item

Full title

Application of physiological network mapping in the prediction of survival in critically ill patients with acute liver failure

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-10, Vol.14 (1), p.23571-13, Article 23571

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Reduced functional connectivity of physiological systems is associated with poor prognosis in critically ill patients. However, physiological network analysis is not commonly used in clinical practice and awaits quantitative evidence. Acute liver failure (ALF) is associated with multiorgan failure and mortality. Prognostication in ALF is highly imp...

Alternative Titles

Full title

Application of physiological network mapping in the prediction of survival in critically ill patients with acute liver failure

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_71647d7852f8441487a01fe9cc1f5575

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_71647d7852f8441487a01fe9cc1f5575

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-74351-2

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