167 - Improving the Identification of Sepsis

Friday, October 21, 2022

1:45 PM – 3:00 PM US ET

Location: Ballroom ABC (3rd Floor)

Watch the live stream on the conference website.

All relevant financial disclosures have been mitigated.

Moderator(s)

Dean Winslow, MD

Professor of Medicine
Stanford University
Stanford, CA, United States

Disclosure(s): No financial relationships to disclose
Sara Cosgrove, MD, MS

Professor of Medicine
Johns Hopkins School of Medicine
Baltimore, MD, United States

Disclosure(s): Basilea: Infection Adjudication Committee Member (Ongoing)

Slides

Faculty(s)

Sara Cosgrove, MD, MS

Professor of Medicine
Johns Hopkins School of Medicine
Baltimore, MD, United States

Disclosure(s): Basilea: Infection Adjudication Committee Member (Ongoing)

Slides
Suchi Saria, PhD

CEO/Founder
Bayesian Health,Inc.

Disclosure(s): No financial relationships to disclose
Jennifer Blumenthal, MD

Staff Physician, Pediatric Infectious Diseases and Critical Care Medicine
Boston Children's Hospital
Boston, MA, United States

Disclosure(s): No financial relationships to disclose

Slides

Disclosure(s):

Dean L. Winslow, MD: No financial relationships to disclose

Sara E. Cosgrove, MD, MS: Basilea: Infection Adjudication Committee Member (Ongoing)

Suchi Saria, PhD: No financial relationships to disclose

Jennifer Blumenthal, MD: No financial relationships to disclose

CME Credits: Maximum of 1.25 hours of AMA PRA Category 1 Credit™
MOC Credits: Maximum of 1.25 hours of MOC Credit
CNE Credits: Maximum of 1.25 hours of ANCC Credit
ACPE Credits: ACPE 1.25 contact hours of pharmacy CE
ACPE Number: JA0007082-0000-22-002-L01-P

Learning Objectives:

At the conclusion of this session, participants will be able to:

review the findings of the IDSA Sepsis Task Force;
explain how machine learning can be used to improve recognition of patients at risk for severe sepsis;
apply strategies for distinguishing sepsis from multisystem inflammatory syndrome in children (MIS-C)

Presentations:

1:45 PM – 2:10 PM US ET

The Stewardship of Sepsis: A Report From the IDSA Sepsis Task Force
Speaker: Sara E. Cosgrove, MD, MS – Johns Hopkins School of Medicine
2:10 PM – 2:35 PM US ET

The Use of Machine Learning to Identify Patients at Risk of Severe Sepsis
Speaker: Suchi Saria, PhD – Bayesian Health,Inc.
2:35 PM – 3:00 PM US ET

Distinguishing Sepsis from Multisystem Inflammatory Syndrome in Children (MIS-C) – Is There a Right Approach?
Speaker: Jennifer Blumenthal, MD – Boston Children's Hospital