Literature DB >> 30868180

Modulators of systemic inflammatory response syndrome presence in patients admitted to intensive care units with acute infection: a Bayesian network approach.

Fernando G Zampieri1,2, Fernanda J Aguiar3, Fernando A Bozza4, Jorge I F Salluh4, Marcio Soares4.   

Abstract

Entities:  

Year:  2019        PMID： 30868180     DOI： 10.1007/s00134-019-05595-0

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


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  4 in total

1.  Robust causal inference using directed acyclic graphs: the R package 'dagitty'.

Authors:  Johannes Textor; Benito van der Zander; Mark S Gilthorpe; Maciej Liskiewicz; George Th Ellison
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

2.  The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine.

Authors:  J L Vincent; R Moreno; J Takala; S Willatts; A De Mendonça; H Bruining; C K Reinhart; P M Suter; L G Thijs
Journal:  Intensive Care Med       Date:  1996-07       Impact factor: 17.440

3.  The effects of performance status one week before hospital admission on the outcomes of critically ill patients.

Authors:  Fernando G Zampieri; Fernando A Bozza; Giulliana M Moralez; Débora D S Mazza; Alexandre V Scotti; Marcelo S Santino; Rubens A B Ribeiro; Edison M Rodrigues Filho; Maurício M Cabral; Marcelo O Maia; Patrícia S D'Alessandro; Sandro V Oliveira; Márcia A M Menezes; Eliana B Caser; Roberto S Lannes; Meton S Alencar Neto; Maristela M Machado; Marcelo F Sousa; Jorge I F Salluh; Marcio Soares
Journal:  Intensive Care Med       Date:  2016-09-29       Impact factor: 17.440

4.  Age-related differences in symptoms, diagnosis and prognosis of bacteremia.

Authors:  Astrid L Wester; Oona Dunlop; Kjetil K Melby; Ulf R Dahle; Torgeir Bruun Wyller
Journal:  BMC Infect Dis       Date:  2013-07-24       Impact factor: 3.090
  4 in total
  1 in total

1.  Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study.

Authors:  Luis Serviá; Neus Montserrat; Mariona Badia; Juan Antonio Llompart-Pou; Jesús Abelardo Barea-Mendoza; Mario Chico-Fernández; Marcelino Sánchez-Casado; José Manuel Jiménez; Dolores María Mayor; Javier Trujillano
Journal:  BMC Med Res Methodol       Date:  2020-10-20       Impact factor: 4.615
  1 in total

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