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Multivariate analysis of 9 disease-associated variables for outcome prediction in patients with sepsis

Author
CALVANO, S. E1 ; COYLE, S. M1 ; BARBOSA, K. S2 ; BARIE, P. S2 ; LOWRY, S. F1
[1] Division of Surgical Sciences, Department of Surgery, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, New Brunswick, United States
[2] Department of Surgery, Cornell University Medical College, New York, NY, United States
Source

Archives of surgery (Chicago, IL. 1960). 1998, Vol 133, Num 12, pp 1347-1350 ; ref : 29 ref

CODEN
ARSUAX
ISSN
0004-0010
Scientific domain
General medicine general surgery
Publisher
American Medical Association, Chicago, IL
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Analyse multivariable Etude cohorte Facteur prédictif Homme Pronostic Prospective Septicémie Survie
Keyword (en)
Multivariate analysis Cohort study Predictive factor Human Prognosis Prospective Septicemia Survival
Keyword (es)
Análisis multivariable Estudio cohorte Factor predictivo Hombre Pronóstico Prospectiva Septicemia Sobrevivencia
Classification
Pascal
002 Biological and medical sciences / 002B Medical sciences / 002B05 Infectious diseases / 002B05B Bacterial diseases / 002B05B02 Human bacterial diseases / 002B05B02M Bacterial sepsis

Discipline
Infectious pathology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1608468

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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