Children are small adults (when properly normalized): Transferrable/generalizable sepsis prediction

Marassi, Caitlin; Socia, Damien; Larie, Dale; An, Gary; Cockrell, R. Chase

doi:10.1016/j.sopen.2023.09.013

Surgery Open Science

2023

DOI: 10.1016/j.sopen.2023.09.013

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Children are small adults (when properly normalized): Transferrable/generalizable sepsis prediction

Caitlin Marassi,

Damien Socia,

Dale Larie

et al.

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2024

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A scoping review on pediatric sepsis prediction technologies in healthcare

Tennant,

Graham,

Kern

et al. 2024

npj Digit. Med.

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This scoping review evaluates recent advancements in data-driven technologies for predicting non-neonatal pediatric sepsis, including artificial intelligence, machine learning, and other methodologies. Of the 27 included studies, 23 (85%) were single-center investigations, and 16 (59%) used logistic regression. Notably, 20 (74%) studies used datasets with a low prevalence of sepsis-related outcomes, with area under the receiver operating characteristic scores ranging from 0.56 to 0.99. Prediction time points varied widely, and development characteristics, performance metrics, implementation outcomes, and considerations for human factors—especially workflow integration and clinical judgment—were inconsistently reported. The variations in endpoint definitions highlight the potential significance of the 2024 consensus criteria in future development. Future research should strengthen the involvement of clinical users to enhance the understanding and integration of human factors in designing and evaluating these technologies, ultimately aiming for safe and effective integration in pediatric healthcare.

show abstract

A scoping review on pediatric sepsis prediction technologies in healthcare

Tennant,

Graham,

Kern

et al. 2024

npj Digit. Med.

View full text Add to dashboard Cite

show abstract

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Children are small adults (when properly normalized): Transferrable/generalizable sepsis prediction

Cited by 1 publication

References 20 publications

A scoping review on pediatric sepsis prediction technologies in healthcare

A scoping review on pediatric sepsis prediction technologies in healthcare

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