Literature DB >> 26198378

Measuring Serum Amyloid A for Infection Prediction in Aneurysmal Subarachnoid Hemorrhage.

Leire Azurmendi1, Vincent Degos2, Natalia Tiberti3, Natacha Kapandji2, Paola Sanchez2, Asita Sarrafzadeh4, Louis Puybasset2, Natacha Turck1, Jean-Charles Sanchez1.   

Abstract

Aneurysmal subarachnoid hemorrhage (aSAH) is associated with high rates of mortality and morbidity. Nosocomial infections, such as pneumonia or urinary tract infections, are among the main causes of worsening outcomes and death. The aim of this study was to discover a biomarker to predict infection in aSAH patients. For this purpose, the plasma of infected and noninfected patients was compared using quantitative mass spectrometry. The most interesting differentially expressed proteins were selected for validation by immunoassays on plasma samples taken from patients (n = 81) over 10 days of hospitalization. Predictive performances were established using Mann-Whitney U tests and receiver operating characteristic curves. Quantitative proteomics identified 17 significantly regulated proteins. Of these, levels of serum amyloid A (SAA) were significantly higher in infected patients (p < 0.007). ELISA confirmed that the concentrations were significantly higher (p < 0.002) already at hospital admission in patients who subsequently developed an infection during their hospitalization, (AUC of 76%) for a cutoff value of 90.9 μg/mL. Our data suggested that measuring SAA could be an efficient means of detecting patients susceptible of developing an infection during hospitalization after an aSAH. Its predictive capacity could lead to earlier antibiotherapy, improved patient management, and potentially better long-term outcomes.

Entities:  

Keywords:  Glasgow Coma Scale; Glasgow Outcome Scale; collision-induced dissociation; nosocomial infection; serum amyloid A

Mesh:

Substances:

Year:  2015        PMID: 26198378     DOI: 10.1021/acs.jproteome.5b00391

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  6 in total

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Authors:  L Azurmendi; V Lapierre-Fetaud; J Schneider; J Montaner; M Katan; Jean-Charles Sanchez
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3.  Innate immunity activation in the early brain injury period following subarachnoid hemorrhage.

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Journal:  J Neuroinflammation       Date:  2019-12-04       Impact factor: 8.322

4.  Role of Clinical Characteristics and Biomarkers at Admission to Predict One-Year Mortality in Elderly Patients with Pneumonia.

Authors:  Astrid Malézieux-Picard; Leire Azurmendi; Sabrina Pagano; Nicolas Vuilleumier; Jean-Charles Sanchez; Dina Zekry; Jean-Luc Reny; Jérôme Stirnemann; Nicolas Garin; Virginie Prendki
Journal:  J Clin Med       Date:  2021-12-25       Impact factor: 4.241

5.  High Neutrophil-to-Albumin Ratio Predicts Postoperative Pneumonia in Aneurysmal Subarachnoid Hemorrhage.

Authors:  Xin Zhang; Sheng Zhang; Congkai Wang; Ran Liu; Aimin Li
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6.  Admission Levels of Interleukin 10 and Amyloid β 1-40 Improve the Outcome Prediction Performance of the Helsinki Computed Tomography Score in Traumatic Brain Injury.

Authors:  Jussi P Posti; Riikka S K Takala; Rahul Raj; Teemu M Luoto; Leire Azurmendi; Linnéa Lagerstedt; Mehrbod Mohammadian; Iftakher Hossain; Jessica Gill; Janek Frantzén; Mark van Gils; Peter J Hutchinson; Ari J Katila; Pia Koivikko; Henna-Riikka Maanpää; David K Menon; Virginia F Newcombe; Jussi Tallus; Kaj Blennow; Olli Tenovuo; Henrik Zetterberg; Jean-Charles Sanchez
Journal:  Front Neurol       Date:  2020-10-30       Impact factor: 4.003

  6 in total

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