phoenix: an R package and Python module for calculating the Phoenix pediatric sepsis score and criteria.

JAMIA Open

Department of Biomedical Informatics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.

Published: October 2024

AI Article Synopsis

  • - The publication of the Phoenix criteria marks a new phase in understanding and treating pediatric sepsis, aiming for better clinical care and research across various settings.
  • - Researchers developed the phoenix R package and Python module to help easily implement the Phoenix criteria using electronic health records (EHRs).
  • - These tools are available for free and facilitate the accurate application of the Phoenix criteria, enhancing the assessment of pediatric sepsis indicators and scores.

Article Abstract

Objectives: The publication of the Phoenix criteria for pediatric sepsis and septic shock initiates a new era in clinical care and research of pediatric sepsis. Tools to consistently and accurately apply the Phoenix criteria to electronic health records (EHRs) is one part of building a robust and internally consistent body of research across multiple research groups and datasets.

Materials And Methods: We developed the phoenix R package and Python module to provide researchers with intuitive and simple functions to apply the Phoenix criteria to EHR data.

Results: The phoenix R package and Python module enable researchers to apply the Phoenix criteria to EHR datasets and derive the relevant indicators, total scores, and sub-scores.

Discussion: The transition to the Phoenix criteria marks a major change in the conceptual definition of pediatric sepsis. Applicable across differentially resourced settings, the Phoenix criteria should help improve clinical care and research.

Conclusion: The phoenix R package and Python model are freely available on CRAN, PyPi, and GitHub. These tools enable the consistent and accurate application of the Phoenix criteria to EHR datasets.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11223841PMC
http://dx.doi.org/10.1093/jamiaopen/ooae066DOI Listing

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