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Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia.
Banoei, Mohammad M; Vogel, Hans J; Weljie, Aalim M; Kumar, Anand; Yende, Sachin; Angus, Derek C; Winston, Brent W.
Afiliação
  • Banoei MM; Department of Critical Care Medicine, University of Calgary, Calgary, AB, Canada.
  • Vogel HJ; Bio-NMR Centre, Centre for Advanced Technologies, Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, AB, Canada.
  • Weljie AM; Bio-NMR Centre, Centre for Advanced Technologies, Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, AB, Canada.
  • Kumar A; Department of Pharmacology, University of Pennsylvania, Philadelphia, PA, USA.
  • Yende S; Section of Critical Care Medicine, Winnipeg Health Sciences Centre, St. Boniface Hospital, University of Manitoba, Winnipeg, MB, Canada.
  • Angus DC; Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Winston BW; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Crit Care ; 21(1): 97, 2017 Apr 19.
Article em En | MEDLINE | ID: mdl-28424077
ABSTRACT

BACKGROUND:

Metabolomics is a tool that has been used for the diagnosis and prognosis of specific diseases. The purpose of this study was to examine if metabolomics could be used as a potential diagnostic and prognostic tool for H1N1 pneumonia. Our hypothesis was that metabolomics can potentially be used early for the diagnosis and prognosis of H1N1 influenza pneumonia.

METHODS:

1H nuclear magnetic resonance spectroscopy and gas chromatography-mass spectrometry were used to profile the metabolome in 42 patients with H1N1 pneumonia, 31 ventilated control subjects in the intensive care unit (ICU), and 30 culture-positive plasma samples from patients with bacterial community-acquired pneumonia drawn within the first 24 h of hospital admission for diagnosis and prognosis of disease.

RESULTS:

We found that plasma-based metabolomics from samples taken within 24 h of hospital admission can be used to discriminate H1N1 pneumonia from bacterial pneumonia and nonsurvivors from survivors of H1N1 pneumonia. Moreover, metabolomics is a highly sensitive and specific tool for the 90-day prognosis of mortality in H1N1 pneumonia.

CONCLUSIONS:

This study demonstrates that H1N1 pneumonia can create a quite different plasma metabolic profile from bacterial culture-positive pneumonia and ventilated control subjects in the ICU on the basis of plasma samples taken within 24 h of hospital/ICU admission, early in the course of disease.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plasma / Influenza Humana / Metabolômica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Crit Care Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plasma / Influenza Humana / Metabolômica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Crit Care Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Canadá