Contrasting methods to operationalize antibiotic exposure in clinical research: a real-world application on health care–associated Clostridioides difficile infection - Takeaways - MDSpire

Contrasting methods to operationalize antibiotic exposure in clinical research: a real-world application on health care–associated Clostridioides difficile infection

  • By

  • Jessica L Webster

  • Stephen Eppes

  • Brian K Lee

  • Nicole S Harrington

  • Neal D Goldstein

  • August 27, 2024

  • 0 min

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  • 1

    The article summarizes methods for operationalizing antibiotic exposure in clinical research, particularly for health care–associated C difficile infection.

  • 2

    Three analytic methods demonstrated include factor analysis, logistic regression, and LASSO regression for modeling antibiotic exposure.

  • 3

    Factor analysis identified eight key variables related to antibiotic exposure, including type, dose, and number of courses.

  • 4

    Logistic regression models showed that predictors like any antibiotic exposure and hospitalization duration were significant for C difficile infection.

  • 5

    Investigators should consider multiple characteristics of antibiotic exposure to accurately assess its impact on health outcomes.

Original Source(s)

Contrasting methods to operationalize antibiotic exposure in clinical research: a real-world application on health care–associated Clostridioides difficile infection

  • by Jessica L Webster, Stephen Eppes, Brian K Lee, Nicole S Harrington, Neal D Goldstein

  • August 27, 2024

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