Deciphering the explanatory potential of blood pressure variables on post-operative length of stay through hierarchical clustering: A retrospective monocentric study
By applying a clustering approach, three arterial pressure variables were associated with pLOS. This scalable method can be applied to various dichotomized outcomes.
Authors
- Victor Beaucoté (ORCID: https://orcid.org/0000-0002-6704-9840)
- Marc Fischler (ORCID: https://orcid.org/0000-0003-0729-5430)
- Alexandre Vallée (ORCID: https://orcid.org/0000-0001-9158-4467)
- Bernard Trillat (ORCID: https://orcid.org/0009-0007-2887-3822)
- Étienne Gayat (ORCID: https://orcid.org/0000-0002-3334-3849)
- Jérôme Cartailler (ORCID: https://orcid.org/0000-0002-3559-4887)
- Morgan Le Guen (ORCID: https://orcid.org/0000-0002-6789-1237)
Institutions
- Inserm (FR)
- Université Paris Cité (FR)
- Université Paris-Saclay (FR)
- Sorbonne Paris Cité (FR)
- Hôpital Lariboisière (FR)
- Hôpital Foch (FR)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1371/journal.pone.0308910
- Citations
- 1
- Primary Topic
- Hemodynamic Monitoring and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 0.57