Proteomic discovery and verification of serum amyloid A as a predictor marker of patients at risk of post-stroke infection: a pilot study

Azurmendi Gil, Leire; Lapierre, Vanessa; Schneider, J; Montaner, J; Katan, M; Sanchez, Jean-Charles

doi:10.1186/s12014-017-9162-0

Scientific article

English

Proteomic discovery and verification of serum amyloid A as a predictor marker of patients at risk of post-stroke infection: a pilot study

ContributorsAzurmendi Gil, Leire; Lapierre, Vanessa; Schneider, J; Montaner, J; Katan, M; Sanchez, Jean-Charles

Published inClinical Proteomics, vol. 14, 27

Publication date2017

Abstract

Post-stroke infections occur in 20-36% of stroke patients and are associated with high morbidity and mortality rates. Early identification of patients at risk of developing an infection could improve care via an earlier treatment leading to a better outcome. We used proteomic tools in order to discover biomarkers able to stratify patients at risk of post-stroke infection.

UNIGE affiliation entities

Faculté de médecine / Section de médecine fondamentale / Département de biologie structurale et bioinformatique

UNIGE research groups

Biomarqueurs (635)

Citation (ISO format)

AZURMENDI GIL, Leire et al. Proteomic discovery and verification of serum amyloid A as a predictor marker of patients at risk of post-stroke infection: a pilot study. In: Clinical Proteomics, 2017, vol. 14, p. 27. doi: 10.1186/s12014-017-9162-0

Article (Published version)

CC BY

Identifiers

PID : unige:100606
DOI : 10.1186/s12014-017-9162-0
PMID : 28701906

Journal ISSN1542-6416

546views

267downloads

Creation05/12/2017 12:14:00

First validation05/12/2017 12:14:00

Update09/01/2025 16:59:52

Status update09/01/2025 16:59:52

Last indexation09/01/2025 17:04:41

Archive ouverte UNIGE

Proteomic discovery and verification of serum amyloid A as a predictor marker of patients at risk of post-stroke infection: a pilot study

Technical informations