Predicting the mortality of pneumonia-induced direct lung injury using serum metabolomics

Authors

  • Ahmed I. Mourad University of Calgary
  • Mohammad M. Banoei University of Calgary
  • Sarah J. Donnelly University of Calgary
  • Brent W. Winston University of Calgary

Keywords:

metabolomics, ARDS, direct lung injury, pneumonia

Abstract

Pneumonia-induced acute respiratory distress syndrome (ARDS) presents a significant source of morbidity and mortality in the ICU with no current treatment beyond supportive measures. A good predictive method to determine mortality of ARDS currently does not exist. As such, it is important to identify potential biomarkers that can predict mortality of pneumonia induced ARDS. Multivariate statistical analysis of 1H-NMR analyzed data yielded a predictive model that separated patient cohorts based on 28-day mortality. This study was a critical step forward to potentially develop new diagnostic and treatment options for those afflicted with pneumonia-induced ARDS.

Author Biography

Brent W. Winston, University of Calgary

Research Supervisor, Critical Care Physician; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology

References

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2. Tasaka, S., Acute lung injury/acute respiratory distress syndrome: progress in diagnosis and treatment. topics: I. Pathogenesis and pathophysiology; 3. Pathogenesis and pathophysiology of ALI/ARDS. Nihon Naika Gakkai Zasshi, 2011. 100(6): p. 1529-35.

3. Ferguson, N.D., et al., The Berlin definition of ARDS: an expanded rationale, justification, and supplementary material. Intensive Care Med, 2012. 38(10): p. 1573-82.

4. Kaddurah-Daouk, R., B.S. Kristal, and R.M. Weinshilboum, Metabolomics: a global biochemical approach to drug response and disease. Annu Rev Pharmacol Toxicol, 2008. 48: p. 653-83.

5. Mickiewicz, B., et al., Metabolic profiling of serum samples by 1H nuclear magnetic resonance spectroscopy as a potential diagnostic approach for septic shock. Crit Care Med, 2014. 42(5): p. 1140-9.

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Published

2015-08-25

Issue

Vol. 5 (2015)

Section

Extended Abstracts

License

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