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Description

Fever is common in the postoperative setting and frequently a normal physiologic response not indicative of complications. Identifying patients at increased risk of postoperative complications can limit unnecessary testing and antibiotic prescribing. We evaluated 589 unique, elective colectomy patients from 2007-2013 to generate temperature trajectories of patients following similar progression during inpatient stay. Results indicate three distinct trajectories and their frequencies with different rates of overall and specific complications for early identification of at-risk patients.

Learning Objective 1: Understand the challenges of fever management, unnecessary testing and antibiotic prescribing in the postoperative setting.

Learning Objective 2: Identify the distinct temperature trajectories that stratify postoperative patients into different risk groups and assess the risk of postoperative complications in each trajectory group duirng inpatient stay.

Authors:

Rema Padman (Presenter)
Carnegie Mellon University

Jennifer Grant, NorthShore University HealthSystem
Urmila Ravichandran, NorthShore University HealthSystem
Michael Turner, Carnegie Mellon University
Prashanth Raja, Carnegie Mellon University
Yazhini Mathiyalagan, Carnegie Mellon University
Ronak Parikh, NorthShore University HealthSystem
Ari Robicsek, Providence Health and Services
Nirav Shah, NorthShore University HealthSystem

Presentation Materials:

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