Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation
Sepsis is a major healthcare problem with substantial mortality and a common reason for admission to the intensive care unit (ICU). For this reason, the management of sepsis is an important area of ICU research. A number of large-scale, freely-accessible ICU databases are available for...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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GigaScience Press
2022-03-01
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| Series: | GigaByte |
| Online Access: | https://gigabytejournal.com/articles/45 |
| _version_ | 1797884350938742784 |
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| author | Tom Edinburgh Stephen J. Eglen Patrick Thoral Paul Elbers Ari Ercole |
| author_facet | Tom Edinburgh Stephen J. Eglen Patrick Thoral Paul Elbers Ari Ercole |
| author_sort | Tom Edinburgh |
| collection | DOAJ |
| description |
Sepsis is a major healthcare problem with substantial mortality and a common reason for admission to the intensive care unit (ICU). For this reason, the management of sepsis is an important area of ICU research. A number of large-scale, freely-accessible ICU databases are available for observational research and the robust identification of septic patients in such data sets is crucial for research purposes, particularly for comparative studies between critical care sub-populations which may vary around the world. However, data structures are poorly standardised due to inevitable variances in clinical electronic health record system vendor and implementation as well as research database design choices. Robust and well-documented cohort selection (such as patients with sepsis) is crucial for reproducible research. In this work, we operationalise the Sepsis-3 definition on the AmsterdamUMCdb, a recently published large European ICU database, publishing open-access code for wider use by critical care researchers.
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| first_indexed | 2024-04-10T04:05:11Z |
| format | Article |
| id | doaj.art-8e368420af344bb98bc53ebf5d77168f |
| institution | Directory Open Access Journal |
| issn | 2709-4715 |
| language | English |
| last_indexed | 2024-04-10T04:05:11Z |
| publishDate | 2022-03-01 |
| publisher | GigaScience Press |
| record_format | Article |
| series | GigaByte |
| spelling | doaj.art-8e368420af344bb98bc53ebf5d77168f2023-03-13T06:16:39ZengGigaScience PressGigaByte2709-47152022-03-0110.46471/gigabyte.45Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementationTom Edinburgh 0https://orcid.org/0000-0002-3599-7133Stephen J. Eglen 1https://orcid.org/0000-0001-8607-8025Patrick Thoral 2https://orcid.org/0000-0001-6140-7195Paul Elbers 3https://orcid.org/0000-0003-0447-6893Ari Ercole 4https://orcid.org/0000-0001-8350-8093Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UKDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UKDepartment of Intensive Care Medicine, Amsterdam UMC, Amsterdam, The NetherlandsDepartment of Intensive Care Medicine, Amsterdam UMC, Amsterdam, The NetherlandsCambridge Centre for Artificial Intelligence in Medicine and Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK Sepsis is a major healthcare problem with substantial mortality and a common reason for admission to the intensive care unit (ICU). For this reason, the management of sepsis is an important area of ICU research. A number of large-scale, freely-accessible ICU databases are available for observational research and the robust identification of septic patients in such data sets is crucial for research purposes, particularly for comparative studies between critical care sub-populations which may vary around the world. However, data structures are poorly standardised due to inevitable variances in clinical electronic health record system vendor and implementation as well as research database design choices. Robust and well-documented cohort selection (such as patients with sepsis) is crucial for reproducible research. In this work, we operationalise the Sepsis-3 definition on the AmsterdamUMCdb, a recently published large European ICU database, publishing open-access code for wider use by critical care researchers. https://gigabytejournal.com/articles/45 |
| spellingShingle | Tom Edinburgh Stephen J. Eglen Patrick Thoral Paul Elbers Ari Ercole Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation GigaByte |
| title | Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation |
| title_full | Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation |
| title_fullStr | Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation |
| title_full_unstemmed | Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation |
| title_short | Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation |
| title_sort | sepsis 3 criteria in amsterdamumcdb open source code implementation |
| url | https://gigabytejournal.com/articles/45 |
| work_keys_str_mv | AT tomedinburgh sepsis3criteriainamsterdamumcdbopensourcecodeimplementation AT stephenjeglen sepsis3criteriainamsterdamumcdbopensourcecodeimplementation AT patrickthoral sepsis3criteriainamsterdamumcdbopensourcecodeimplementation AT paulelbers sepsis3criteriainamsterdamumcdbopensourcecodeimplementation AT ariercole sepsis3criteriainamsterdamumcdbopensourcecodeimplementation |