Analyzing how the components of the SOFA score change over time in their contribution to mortality Article Swipe
Barbara D. Lam
,
Tristan Struja
,
Yanran Li
,
João Matos
,
Z. C. Chen
,
Xiaoli Liu
,
Leo Anthony Celi
,
Yugang Jia
,
Jesse D. Raffa
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.62675/2965-2774.20240030-en
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.62675/2965-2774.20240030-en
Objective: Determine how each organ component of the SOFA score differs in its contribution to mortality risk and how that contribution may change over time. Methods: We performed multivariate logistic regression analysis to assess the contribution of each organ component to mortality risk on Days 1 and 7 of an intensive care unit stay. We used data from two publicly available datasets, eICU Collaborative Research Database (eICU-CRD) (208 hospitals) and Medical Information Mart for Intensive Care IV (MIMIC-IV) (1 hospital). The odds ratio of each SOFA component that contributed to mortality was calculated. Mortality was defined as death either in the intensive care unit or within 72 hours of discharge from the intensive care unit. Results: A total of 7,871 intensive care unit stays from eICU-CRD and 4,926 intensive care unit stays from MIMIC-IV were included. Liver dysfunction was most predictive of mortality on Day 1 in both cohorts (OR 1.3; 95%CI 1.2 - 1.4; OR 1.3; 95%CI 1.2 - 1.4, respectively). In the eICU-CRD cohort, central nervous system dysfunction was most predictive of mortality on Day 7 (OR 1.4; 95%CI 1.4 - 1.5). In the MIMIC-IV cohort, respiratory dysfunction (OR 1.4; 95%CI 1.3 - 1.5) and cardiovascular dysfunction (OR 1.4; 95%CI 1.3 - 1.5) were most predictive of mortality on Day 7. Conclusion: The SOFA score may be an oversimplification of how dysfunction of different organ systems contributes to mortality over time. Further research at a more granular timescale is needed to explore how the SOFA score can evolve and be ameliorated.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.62675/2965-2774.20240030-en
- OA Status
- hybrid
- Cited By
- 4
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404836806
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4404836806Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.62675/2965-2774.20240030-enDigital Object Identifier
- Title
-
Analyzing how the components of the SOFA score change over time in their contribution to mortalityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Barbara D. Lam, Tristan Struja, Yanran Li, João Matos, Z. C. Chen, Xiaoli Liu, Leo Anthony Celi, Yugang Jia, Jesse D. RaffaList of authors in order
- Landing page
-
https://doi.org/10.62675/2965-2774.20240030-enPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.62675/2965-2774.20240030-enDirect OA link when available
- Concepts
-
Component (thermodynamics), SOFA score, Medicine, Demography, Internal medicine, Critically ill, Sociology, Physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 2Per-year citation counts (last 5 years)
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22Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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