Clustering ICU patients with sepsis based on the patterns of their circulating biomarkers: A secondary analysis of the CAPTAIN prospective multicenter cohort study Article Swipe
Benoît Misset
,
François Philippart
,
Catherine Fitting
,
Jean‐Pierre Bédos
,
Jean‐Luc Diehl
,
Olfa Hamzaoui
,
Djillali Annane
,
Didier Journois
,
Marianna Parlato
,
Virginie Moucadel
,
Jean-Marc Cavaillon
,
Jöel Coste
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0267517
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0267517
Background Although sepsis is a life-threatening condition, its heterogeneous presentation likely explains the negative results of most trials on adjunctive therapy. This study in patients with sepsis aimed to identify subgroups with similar immune profiles and their clinical and outcome correlates. Methods A secondary analysis used data of a prospective multicenter cohort that included patients with early assessment of sepsis. They were described using Predisposition, Insult, Response, Organ failure sepsis (PIRO) staging system. Thirty-eight circulating biomarkers (27 proteins, 11 mRNAs) were assessed at sepsis diagnosis, and their patterns were determined through principal component analysis (PCA). Hierarchical clustering was used to group the patients and k -means algorithm was applied to assess the internal validity of the clusters. Results Two hundred and three patients were assessed, of median age 64.5 [52.0–77.0] years and SAPS2 score 55 [49–61] points. Five main patterns of biomarkers and six clusters of patients (including 42%, 21%, 17%, 9%, 5% and 5% of the patients) were evidenced. Clusters were distinguished according to the certainty of the causal infection, inflammation, use of organ support, pro- and anti-inflammatory activity, and adaptive profile markers. Conclusions In this cohort of patients with suspected sepsis, we individualized clusters which may be described with criteria used to stage sepsis. As these clusters are based on the patterns of circulating biomarkers, whether they might help to predict treatment responsiveness should be addressed in further studies. Trial registration The CAPTAIN study was registered on clinicaltrials.gov on June 22, 2011, # NCT01378169 .
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0267517
- OA Status
- gold
- Cited By
- 2
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307441315
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4307441315Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0267517Digital Object Identifier
- Title
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Clustering ICU patients with sepsis based on the patterns of their circulating biomarkers: A secondary analysis of the CAPTAIN prospective multicenter cohort studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-10-27Full publication date if available
- Authors
-
Benoît Misset, François Philippart, Catherine Fitting, Jean‐Pierre Bédos, Jean‐Luc Diehl, Olfa Hamzaoui, Djillali Annane, Didier Journois, Marianna Parlato, Virginie Moucadel, Jean-Marc Cavaillon, Jöel CosteList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0267517Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1371/journal.pone.0267517Direct OA link when available
- Concepts
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Sepsis, Medicine, Internal medicine, Prospective cohort study, Cohort, Cohort study, Organ dysfunction, Clinical trialTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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