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OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification
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 tim...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772813/ https://www.ncbi.nlm.nih.gov/pubmed/36570030 http://dx.doi.org/10.1093/jamiaopen/ooac105 |
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author | Hofford, Mackenzie R Yu, Sean C Johnson, Alistair E W Lai, Albert M Payne, Philip R O Michelson, Andrew P |
author_facet | Hofford, Mackenzie R Yu, Sean C Johnson, Alistair E W Lai, Albert M Payne, Philip R O Michelson, Andrew P |
author_sort | Hofford, Mackenzie R |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9772813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97728132022-12-22 OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification Hofford, Mackenzie R Yu, Sean C Johnson, Alistair E W Lai, Albert M Payne, Philip R O Michelson, Andrew P JAMIA Open Brief Communications 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. Oxford University Press 2022-12-21 /pmc/articles/PMC9772813/ /pubmed/36570030 http://dx.doi.org/10.1093/jamiaopen/ooac105 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Communications Hofford, Mackenzie R Yu, Sean C Johnson, Alistair E W Lai, Albert M Payne, Philip R O Michelson, Andrew P OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification |
title | OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification |
title_full | OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification |
title_fullStr | OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification |
title_full_unstemmed | OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification |
title_short | OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification |
title_sort | opensep: a generalizable open source pipeline for sofa score calculation and sepsis-3 classification |
topic | Brief Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772813/ https://www.ncbi.nlm.nih.gov/pubmed/36570030 http://dx.doi.org/10.1093/jamiaopen/ooac105 |
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