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
