Informing estimates of probability of Clostridioides difficile infection for testing and treatment: expert consensus from a modified-Delphi procedure

• Main Authors: Jonathan D. Baghdadi (Author), Mia Wessel (Author), Erik R. Dubberke (Author), Alison Lydecker (Author), Kimberly C. Claeys (Author), Carolyn Alonso (Author), K.C. Coffey (Author), Michael Durkin (Author), Anne J. Gonzales-Luna (Author), Alice Y. Guh (Author), Jennie H. Kwon (Author), Elise Martin (Author), Preeti Mehrotra (Author), Christopher R. Polage (Author), Michael S. Pulia (Author), Clare Rock (Author), Andrew M. Skinner (Author), Valerie M. Vaughn (Author), Tara Vijayan (Author), Michael E. Yarrington (Author), Daniel J. Morgan (Author), for the CDC Prevention Epicenters Program (Author)
• Format: Book
• Published: Cambridge University Press, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background: Clostridioides difficile infection (CDI) may be misdiagnosed if testing is performed in the absence of signs or symptoms of disease. This study sought to support appropriate testing by estimating the impact of signs, symptoms, and healthcare exposures on pre-test likelihood of C...