Rapid Risk Stratification of Septic Adults in Non-Intensive Care Unit Settings

Jessica Shu, M.D., Ben Alencherry, M.D., and Aman Rajpal, M.D.

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Originally authored by Robert J. Pignolo, Jr., M.D., Ph.D., Professor of Medicine and Chair, Department of Internal Medicine, Division of Geriatric Medicine and Gerontology, Mayo Clinic Alix School of Medicine, Rochester, MN. Updated by Jessica Shu, M.D. and Aman Rajpal, M.D., respectively Chief Resident and Assistant Professor, Department of Medicine, University Hospitals Cleveland Medical Center and Case Western Reserve University and Louis Stokes Cleveland VA Medical Center, and Ben Alencherry, M.D., Cardiovascular Fellow, Cleveland Clinic.

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Rapid Risk Stratification of Septic Adults in Non-Intensive Care Unit Settings

CME credit is no longer available for this conference.

Jeffrey P. Green, M.D.

Dr. Green is Clinical Research Fellow, Department of Emergency Medicine, University of California, Davis School of Medicine, Sacramento, CA.

Within the past 12 months, Dr. Green reports no commercial conflict of interest.

Albert Einstein College of Medicine, CCME staff, and interMDnet staff have nothing to disclose.

Release Date: 02/20/2012
Termination Date: 02/20/2015

Estimated time to complete: 1 hour(s).

Albert Einstein College of Medicine designates this enduring material for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Albert Einstein College of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Learning Objectives

Upon completion of this Cyberounds^®, you should be able to:

Describe severe sepsis and discuss the importance of rapid and accurate risk stratification and apply it to the care of patients
Discuss currently available clinical risk stratification tools for rapid risk stratification of severe sepsis in non-intensive care unit settings
Describe the physiology of lactate metabolism and its implications for use in sepsis risk stratification
Supplement clinical risk stratification of severe sepsis by application of inflammatory biomarkers.