Predicting ARDS in Surgical Critical Care Patients Based on Serum Inflammatory Markers and Clinical Data

*SC2i is a consortium of Walter Reed National Military Medical Center, Naval Medical Research Center, Duke Medicine, Emory University School of Medicine, and Henry M. Jackson Foundation for the Advancement of Military Medicine, and Decision Q The contents of this presentation are the sole responsibility of the author(s) and do not necessarily reflect the views, opinions or policies of Uniformed Services University of the Health Sciences (USUHS), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., the Department of Defense (DoD) or the Departments of the Army, Navy, or Air Force. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government. Acute respiratory distress syndrome (ARDS) remains a common and serious complication of critical illness (Figure 1). While increasing evidence supports an association between ARDS and various systemic markers of inflammation, their prognostic value remains uncertain. We hypothesized that an accurate predictive model for ARDS could be developed using clinical and systemic markers of inflammation. INTRODUCTION METHODS INTRODUCTION RESULTS CONCLUSION Predicting ARDS in Surgical Critical Care Patients based on Serum Inflammatory Markers and Clinical Data Felipe A. Lisboa, MD,1,2,6,7 Diego Vicente, MD,1,2,6 Rathnayaka Gunasingha, MD,1,2,6 Seth A. Schobel, PhD,1,6,7 Henry Robertson, PhD,1,6,7 Christopher J. Dente, MD,3,6 April A. Grant, MD,3,6 Timothy G. Buchman, MD PhD,3,6 Allan D. Kirk, MD PhD,4,6 and Eric A. Elster, MD,1,2,6 1Uniformed Services University of the Health Sciences, Bethesda, MD; 2Walter Reed National Military Medical Center, Bethesda, MD; 3Emory University, Atlanta, GA; 4Duke University, Durham, NC; 5Grady Memorial Hospital, Atlanta GA; 6Uniformed Services University (USU) Surgical Critical Care Initiative (SC2i), Bethesda, MD*; 7The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD We examined the record
RITM0028152
Acute respiratory distress syndrome (ARDS) remains a common and serious complication of critical illness (Figure 1). While increasing evidence supports an association between ARDS and various systemic markers of inflammation, their prognostic value remains uncertain. We hypothesized that an accurate predictive model for ARDS could be developed using clinical and systemic markers of inflammation.