Unknown

Dataset Information

0

OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification.


ABSTRACT: EHR-based sepsis research often uses heterogeneous definitions of sepsis leading to poor generalizability and difficulty in comparing studies to each other. We have developed OpenSep, an open-source pipeline for sepsis phenotyping according to the Sepsis-3 definition, as well as determination of time of sepsis onset and SOFA scores. The Minimal Sepsis Data Model was developed alongside the pipeline to enable the execution of the pipeline to diverse sources of electronic health record data. The pipeline's accuracy was validated by applying it to the MIMIC-IV version 1.0 data and comparing sepsis onset and SOFA scores to those produced by the pipeline developed by the curators of MIMIC. We demonstrated high reliability between both the sepsis onsets and SOFA scores, however the use of the Minimal Sepsis Data model developed for this work allows our pipeline to be applied to more broadly to data sources beyond MIMIC.

SUBMITTER: Hofford MR 

PROVIDER: S-EPMC9772813 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification.

Hofford Mackenzie R MR   Yu Sean C SC   Johnson Alistair E W AEW   Lai Albert M AM   Payne Philip R O PRO   Michelson Andrew P AP  

JAMIA open 20221221 4


EHR-based sepsis research often uses heterogeneous definitions of sepsis leading to poor generalizability and difficulty in comparing studies to each other. We have developed OpenSep, an open-source pipeline for sepsis phenotyping according to the Sepsis-3 definition, as well as determination of time of sepsis onset and SOFA scores. The Minimal Sepsis Data Model was developed alongside the pipeline to enable the execution of the pipeline to diverse sources of electronic health record data. The p  ...[more]

Similar Datasets

| S-EPMC8468706 | biostudies-literature
| S-EPMC9394016 | biostudies-literature
| S-EPMC4876386 | biostudies-literature
| S-EPMC9205633 | biostudies-literature
| S-EPMC9402998 | biostudies-literature
| S-EPMC11756775 | biostudies-literature
| S-EPMC7458899 | biostudies-literature
| S-EPMC6492372 | biostudies-literature
| S-EPMC10587306 | biostudies-literature
| S-EPMC4609010 | biostudies-literature