Title |
Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia
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Published in |
Critical Care, April 2017
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DOI | 10.1186/s13054-017-1672-7 |
Pubmed ID | |
Authors |
Mohammad M. Banoei, Hans J. Vogel, Aalim M. Weljie, Anand Kumar, Sachin Yende, Derek C. Angus, Brent W. Winston, the Canadian Critical Care Translational Biology Group (CCCTBG) |
Abstract |
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. (1)H 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. 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. 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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Country | Count | As % |
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United States | 2 | 20% |
United Kingdom | 2 | 20% |
India | 2 | 20% |
Malaysia | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 60% |
Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Scientists | 1 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 102 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 15 | 15% |
Student > Ph. D. Student | 14 | 14% |
Student > Master | 11 | 11% |
Student > Bachelor | 9 | 9% |
Student > Doctoral Student | 6 | 6% |
Other | 18 | 18% |
Unknown | 29 | 28% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 18 | 18% |
Biochemistry, Genetics and Molecular Biology | 13 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 11 | 11% |
Chemistry | 7 | 7% |
Agricultural and Biological Sciences | 7 | 7% |
Other | 11 | 11% |
Unknown | 35 | 34% |