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Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers

Published online by Cambridge University Press:  19 September 2022

Meghana Kamineni Open the ORCID record for Meghana Kamineni [Opens in a new window] ,
Erkin Ötleş Open the ORCID record for Erkin Ötleş [Opens in a new window] ,
Jeeheh Oh ,
Krishna Rao ,
Vincent B. Young Open the ORCID record for Vincent B. Young [Opens in a new window] ,
Benjamin Y. Li ,
Lauren R. West ,
David C. Hooper ,
Erica S. Shenoy Open the ORCID record for Erica S. Shenoy [Opens in a new window]  and
John G. Guttag
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Meghana Kamineni*
Affiliation:
Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, Massachusetts
Erkin Ötleş
Affiliation:
Medical Scientist Training Program, University of Michigan Medical School, Ann Arbor, Michigan Department of Industrial and Operations Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan
Jeeheh Oh
Affiliation:
Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan
Krishna Rao
Affiliation:
Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, Michigan
Vincent B. Young
Affiliation:
Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, Michigan
Benjamin Y. Li
Affiliation:
Medical Scientist Training Program, University of Michigan Medical School, Ann Arbor, Michigan Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan
Lauren R. West
Affiliation:
Infection Control Unit, Massachusetts General Hospital, Boston, Massachusetts
David C. Hooper
Affiliation:
Infection Control Unit, Massachusetts General Hospital, Boston, Massachusetts Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts Harvard Medical School, Boston, Massachusetts
Erica S. Shenoy
Affiliation:
Infection Control Unit, Massachusetts General Hospital, Boston, Massachusetts Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts Harvard Medical School, Boston, Massachusetts
John G. Guttag
Affiliation:
Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, Massachusetts
Jenna Wiens
Affiliation:
Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan
Maggie Makar
Affiliation:
Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, Massachusetts Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan
*
Author for correspondence: Meghana Kamineni, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02142. E-mail: kamineni@alum.mit.edu
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Abstract

Many data-driven patient risk stratification models have not been evaluated prospectively. We performed and compared the prospective and retrospective evaluations of 2 Clostridioides difficile infection (CDI) risk-prediction models at 2 large academic health centers, and we discuss the models’ robustness to data-set shifts.

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Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 44 , Issue 7 , July 2023 , pp. 1163 - 1166
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Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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References

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