Prognostication of Mortality in Critically Ill Patients With Severe Infections

Que, Yok-Ai; Guessous, Idris; Dupuis Lozeron, Elise; Alves de Oliveira, Clara Rodrigues; Ferreira Oliveir, Carolina; Graf, Rolf; Seematter, Gérald; Revelly, Jean-Pierre; Pagani, Jean-Luc; Liaudet, Lucas; Nobre Junior, Vandack Alencar; Eggimann, Philippe

doi:10.1378/chest.15-0123

Scientific article

English

Prognostication of Mortality in Critically Ill Patients With Severe Infections

ContributorsQue, Yok-Ai; Guessous, Idris; Dupuis Lozeron, Elise; Alves de Oliveira, Clara Rodrigues; Ferreira Oliveir, Carolina; Graf, Rolf; Seematter, Gérald; Revelly, Jean-Pierre; Pagani, Jean-Luc; Liaudet, Lucas; Nobre Junior, Vandack Alencar; Eggimann, Philippe

Published inChest, vol. 148, no. 3, p. 674-682

Publication date2015

Abstract

The purpose of this study was to confirm the prognostic value of pancreatic stone protein (PSP) in patients with severe infections requiring ICU management and to develop and validate a model to enhance mortality prediction by combining severity scores with biomarkers.

Keywords

Biomarkers/metabolism
Brazil/epidemiology
C-Reactive Protein/metabolism
Calcitonin/metabolism
Critical Care
Critical Illness
Female
Hospital Mortality
Humans
Lithostathine/metabolism
Male
Middle Aged
Predictive Value of Tests
Prognosis
Prospective Studies
Protein Precursors/metabolism
Sepsis/metabolism/mortality
Severity of Illness Index
Switzerland/epidemiology

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de santé et médecine communautaires

Research groups

Citation (ISO format)

QUE, Yok-Ai et al. Prognostication of Mortality in Critically Ill Patients With Severe Infections. In: Chest, 2015, vol. 148, n° 3, p. 674–682. doi: 10.1378/chest.15-0123

Article (Accepted version)

Identifiers

PID : unige:90097
DOI : 10.1378/chest.15-0123
PMID : 26065577

Journal ISSN0012-3692

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Prognostication of Mortality in Critically Ill Patients With Severe Infections

The purpose of this study was to confirm the prognostic value of pancreatic stone protein (PSP) in patients with severe infections requiring ICU management and to develop and validate a model to enhance mortality prediction by combining severity scores with biomarkers.

Technical informations